diff --git a/notebooks/outliers.ipynb b/notebooks/outliers.ipynb
index 57ed60c..e8da3c9 100644
--- a/notebooks/outliers.ipynb
+++ b/notebooks/outliers.ipynb
@@ -32,7 +32,9 @@
"source": [
"sys.path.append(os.path.abspath(os.path.join('../scripts')))\n",
"from preprocessing import PreProcess\n",
- "from overview import Overview"
+ "from overview import Overview\n",
+ "from outlier import Outlier\n",
+ "from plot import Plot"
]
},
{
@@ -46,13 +48,22 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df2 = pd.read_excel(\"../data/Week1_challenge_data_source.xlsx\")"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "outlier = Outlier(df)"
+ ]
+ },
{
"cell_type": "code",
"execution_count": 6,
@@ -225,7 +236,7 @@
" \n",
" \n",
"\n",
- "5 rows × 45 columns
\n",
+ "5 rows × 55 columns
\n",
""
],
"text/plain": [
@@ -264,7 +275,7 @@
"3 12797283.0 43324218.0 846028530.0 \n",
"4 13910322.0 38542814.0 569138589.0 \n",
"\n",
- "[5 rows x 45 columns]"
+ "[5 rows x 55 columns]"
]
},
"execution_count": 6,
@@ -287,18 +298,26 @@
"Index(['bearer_id', 'start', 'start_ms', 'end', 'end_ms', 'dur._(ms)', 'imsi',\n",
" 'msisdn/number', 'imei', 'last_location_name', 'avg_rtt_dl_(ms)',\n",
" 'avg_rtt_ul_(ms)', 'avg_bearer_tp_dl_(kbps)', 'avg_bearer_tp_ul_(kbps)',\n",
+ " 'tcp_dl_retrans._vol_(bytes)', 'tcp_ul_retrans._vol_(bytes)',\n",
" 'dl_tp_<_50_kbps_(%)', '50_kbps_<_dl_tp_<_250_kbps_(%)',\n",
" '250_kbps_<_dl_tp_<_1_mbps_(%)', 'dl_tp_>_1_mbps_(%)',\n",
" 'ul_tp_<_10_kbps_(%)', '10_kbps_<_ul_tp_<_50_kbps_(%)',\n",
" '50_kbps_<_ul_tp_<_300_kbps_(%)', 'ul_tp_>_300_kbps_(%)',\n",
- " 'activity_duration_dl_(ms)', 'activity_duration_ul_(ms)', 'dur._(ms).1',\n",
- " 'handset_manufacturer', 'handset_type', 'nb_of_sec_with_vol_dl_<_6250b',\n",
- " 'nb_of_sec_with_vol_ul_<_1250b', 'social_media_dl_(bytes)',\n",
- " 'social_media_ul_(bytes)', 'google_dl_(bytes)', 'google_ul_(bytes)',\n",
- " 'email_dl_(bytes)', 'email_ul_(bytes)', 'youtube_dl_(bytes)',\n",
- " 'youtube_ul_(bytes)', 'netflix_dl_(bytes)', 'netflix_ul_(bytes)',\n",
- " 'gaming_dl_(bytes)', 'gaming_ul_(bytes)', 'other_dl_(bytes)',\n",
- " 'other_ul_(bytes)', 'total_ul_(bytes)', 'total_dl_(bytes)'],\n",
+ " 'http_dl_(bytes)', 'http_ul_(bytes)', 'activity_duration_dl_(ms)',\n",
+ " 'activity_duration_ul_(ms)', 'dur._(ms).1', 'handset_manufacturer',\n",
+ " 'handset_type', 'nb_of_sec_with_125000b_<_vol_dl',\n",
+ " 'nb_of_sec_with_1250b_<_vol_ul_<_6250b',\n",
+ " 'nb_of_sec_with_31250b_<_vol_dl_<_125000b',\n",
+ " 'nb_of_sec_with_37500b_<_vol_ul',\n",
+ " 'nb_of_sec_with_6250b_<_vol_dl_<_31250b',\n",
+ " 'nb_of_sec_with_6250b_<_vol_ul_<_37500b',\n",
+ " 'nb_of_sec_with_vol_dl_<_6250b', 'nb_of_sec_with_vol_ul_<_1250b',\n",
+ " 'social_media_dl_(bytes)', 'social_media_ul_(bytes)',\n",
+ " 'google_dl_(bytes)', 'google_ul_(bytes)', 'email_dl_(bytes)',\n",
+ " 'email_ul_(bytes)', 'youtube_dl_(bytes)', 'youtube_ul_(bytes)',\n",
+ " 'netflix_dl_(bytes)', 'netflix_ul_(bytes)', 'gaming_dl_(bytes)',\n",
+ " 'gaming_ul_(bytes)', 'other_dl_(bytes)', 'other_ul_(bytes)',\n",
+ " 'total_ul_(bytes)', 'total_dl_(bytes)'],\n",
" dtype='object')"
]
},
@@ -311,26 +330,32 @@
"df.columns"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Initialize plot class"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pl = Plot()"
+ ]
+ },
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
+ "image/png": "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",
"text/plain": [
- "Text(0.5, 0, 'Sample')"
- ]
- },
- "execution_count": 8,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": "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",
- "text/plain": [
- ""
+ ""
]
},
"metadata": {
@@ -340,180 +365,129 @@
}
],
"source": [
- "import matplotlib.pyplot as plt\n",
- "plt.boxplot(df['nb_of_sec_with_vol_ul_<_1250b'], vert=False)\n",
- "plt.title(\"Detecting outliers using Boxplot\")\n",
- "plt.xlabel('Sample')"
+ "# dfdfsdsdsdklkjjkjkjjkklkkjjikjjkjkjkjjkkjjfkldklkldfkldfdfdfdffddffpl.plot_box(df, 'nb_of_sec_with_vol_ul_<_1250b', 'Number of seconds with IP Volume DL < 1250B')"
]
},
{
"cell_type": "code",
- "execution_count": 74,
+ "execution_count": 11,
"metadata": {},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Outliers from Z-scores method: 3708\n"
- ]
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
}
],
"source": [
- "import numpy as np\n",
- "outliers = []\n",
- "def detect_outliers_zscore(data):\n",
- " thres = 3\n",
- " mean = np.mean(data)\n",
- " std = np.std(data)\n",
- " # print(mean, std)\n",
- " for i in data:\n",
- " z_score = (i-mean)/std\n",
- " if (np.abs(z_score) > thres):\n",
- " outliers.append(i)\n",
- " return outliers# Driver code\n",
- "sample_outliers = detect_outliers_zscore(df['nb_of_sec_with_vol_ul_<_1250b'])\n",
- "print(\"Outliers from Z-scores method: \", len(sample_outliers))"
+ "pl.plot_box(df, 'dur._(ms)', 'Total Duration of the xDR (in ms)')"
]
},
{
"cell_type": "code",
- "execution_count": 77,
+ "execution_count": 12,
"metadata": {},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Outliers from IQR method: 25389\n"
- ]
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
}
],
"source": [
- "\n",
- "outliers = []\n",
- "def detect_outliers_iqr(data):\n",
- " data = sorted(data)\n",
- " q1 = np.percentile(data, 25)\n",
- " q3 = np.percentile(data, 75)\n",
- " # print(q1, q3)\n",
- " IQR = q3-q1\n",
- " lwr_bound = q1-(1.5*IQR)\n",
- " upr_bound = q3+(1.5*IQR)\n",
- " # print(lwr_bound, upr_bound)\n",
- " for i in data: \n",
- " if (iupr_bound):\n",
- " outliers.append(i)\n",
- " return outliers# Driver code\n",
- "sample_outliers = detect_outliers_iqr(df['nb_of_sec_with_vol_ul_<_1250b'])\n",
- "print(\"Outliers from IQR method: \", len(sample_outliers))"
+ "pl.plot_box(df, 'avg_rtt_dl_(ms)', 'Average Round Trip Time measurement Downlink direction (msecond)')"
]
},
{
"cell_type": "code",
- "execution_count": 82,
+ "execution_count": 13,
"metadata": {},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Sample: 0 214.0\n",
- "1 1022.0\n",
- "2 695.0\n",
- "3 207.0\n",
- "4 604.0\n",
- " ... \n",
- "149996 229.0\n",
- "149997 102.0\n",
- "149998 108.0\n",
- "149999 82.0\n",
- "150000 217.0\n",
- "Name: nb_of_sec_with_vol_ul_<_1250b, Length: 150001, dtype: float64\n",
- "New array: [ 214. 1022. 695. ... 108. 82. 217.]\n"
- ]
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
}
],
"source": [
- "sample = df['nb_of_sec_with_vol_ul_<_1250b']\n",
- "median = np.median(sample)# Replace with median\n",
- "for i in sample_outliers:\n",
- " c = np.where(sample==i, 14, sample)\n",
- "print(\"Sample: \", sample)\n",
- "print(\"New array: \",c)\n",
- "# print(x.dtype)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Method 3 - Rescaling the data\n"
+ "pl.plot_box(df, 'tcp_ul_retrans._vol_(bytes)', 'TCP volume of Uplink packets detected as retransmitted (bytes)')"
]
},
{
"cell_type": "code",
- "execution_count": 84,
+ "execution_count": 14,
"metadata": {},
"outputs": [
{
- "ename": "NameError",
- "evalue": "name 'b' is not defined",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
- "\u001b[1;32m/home/jedi/Documents/Tenacademy/Week1/Telecom-Analysis/notebooks/outliers.ipynb Cell 12'\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 3\u001b[0m ninetieth_percentile \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mpercentile(sample, \u001b[39m90\u001b[39m)\n\u001b[1;32m 4\u001b[0m \u001b[39m# print(tenth_percentile, ninetieth_percentile)b = np.where(sample 5\u001b[0m b \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mwhere(b\u001b[39m>\u001b[39mninetieth_percentile, ninetieth_percentile, b)\n\u001b[1;32m 6\u001b[0m \u001b[39m# print(\"Sample:\", sample)\u001b[39;00m\n\u001b[1;32m 7\u001b[0m \u001b[39mprint\u001b[39m(\u001b[39m\"\u001b[39m\u001b[39mNew array:\u001b[39m\u001b[39m\"\u001b[39m,b)\n",
- "\u001b[0;31mNameError\u001b[0m: name 'b' is not defined"
- ]
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
}
],
"source": [
- "# Computing 10th, 90th percentiles and replacing the outliers\n",
- "tenth_percentile = np.percentile(sample, 10)\n",
- "ninetieth_percentile = np.percentile(sample, 90)\n",
- "# print(tenth_percentile, ninetieth_percentile)b = np.where(sampleninetieth_percentile, ninetieth_percentile, b)\n",
- "# print(\"Sample:\", sample)\n",
- "print(\"New array:\",b)"
+ "pl.plot_box(df, 'activity_duration_ul_(ms)', 'Activity duration ul(ms)')"
]
},
{
"cell_type": "code",
- "execution_count": 87,
+ "execution_count": 15,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
"source": [
- "df['nb_of_sec_with_vol_ul_<_1250b'] = [np.log(x) for x in df['nb_of_sec_with_vol_ul_<_1250b']]\n"
+ "pl.plot_box(df, 'youtube_ul_(bytes)', 'YouTube data volume (in Bytes) sent by the MS during this session')"
]
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 89,
+ "execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
+ "image/png": "iVBORw0KGgoAAAANSUhEUgAAA/sAAAHCCAYAAACwktl2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAABGvUlEQVR4nO3dd5wfVb3/8fcnha4JTUoQA4aqFKVc9SJGLiDFq6LYlQQQUQERFfRqlCCRIlwRUVF+eAmxoQhIx4Z0FBMEQUCIsPRmQoBAElI+vz8+58tOZue737Llu3vyej4e+9jdqWfOnJk5n5lzZszdBQAAAAAA8jGi0wkAAAAAAAD9i2AfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyEw2wb6ZTTczN7PxnU5Lq8zsoJT2nTudlsFi4TYzu77TacmNmU1N5Wlip9My0OodO2nYNR1K1rBnZjukPDy402kZSGY2OW3n5E6npabVNA3l4304X5cH22CWRTO7xsyG1XeX2ynnw3E7B8JQvh6a2Qwze8rMVh/k9XaZWddgrhOdMxSv9Y1UXT/brZv1GuynBbbyM7mFjejogVbIxNrPUjN71sz+ZWa/MbPDzWztOvNO7K+Tp5mtIWmapEvd/ZbSuK6KPF5sZo+a2a/N7E39sP6OHADu7pKOlbSLme1fJ23l7V9sZnPM7A4z+4mZvd/MVuqP9BT26dT+WB4GXm/HziCse2LFselm9qKZ/cPMTjKztfphPR2prLr7LEm/kTQt5TPQw1C+0SAtV4dZZmav7WW6P/VWjzGznczsZ2b2oJktMrPnUl3hUjM7ZrADlRwNx8o4+sbMdpT0MUknufsLheHjU1noKk0/3npec5eY2ZNmdrmZ7T3ImwAMqnbrZqMajD+uYtjnJI2RdLqkeaVxtzW74iHkYnWn+xWSXi3prZLeLembZnaku08fwPV/VtIGkk7qZZpiXq8haVtJ75X0bjN7l7tfOYDpGzDufrGZ3a3I5wvSDYAqte0fIemVkraQtJ/iInGfmX3c3f8yGGnGkNLbsbOVpBcHIQ0PSpqe/jZJ60jaS9KXJO1nZju4+/xBSMdAOFHSXxT5fEKH0zJQLpL0Z0mPdzohGDBLFHWdgyV9pTzSzDaT9LbCdOXxH5N0ruL4vlpRZpZK2kTSjpLeKelCSbMHJvkD4gBJq3U6EYNgRdnORgbretiqEyQ9J+nMFud7VtJ30t+rSNpO0j6S9kl19u/2WwqBoaflulmvwb67Ty0PS3ddx0j6jrt3tZrCIeg35WDezEZJOkgRZJ5jZovc/Rf9vWIzGynpU5Luc/ebepm0R16b2RcknaoIKoZlsJ+cqwjW/kvSH+pMU7X9YyQdL+kISb81sze5+z0DmVAMHY2OnUEsC13l82RqbXKTpB0k7a/umwHDirvfYmb3SDrUzE5296WdTlN/c/dnFRVH5OtJxc2cA83s6+6+pDT+E4pA/jJJ7ymOMLPVJH1fkkva093/WF64mb1F0r8HIN0Dxt0f6nQaBsOKsp2NDMW6kZltLml3SWe7+4IWZ59Xcd09UNL/STrBzM5296F4c6PjUiusP0k6cIAfZGKAtFM369c++2b2ATO7LjWHX5CaW/+Pma1cmGZiapb6GkmvKTXHmV6Y7j1m9lMzu9fMXjCz+WY2y8w+a2YD+q4Bd1/i7mdJ+kwa9G0zW3UAVrWHoiXBL9uY93fp97q1AWa2V8rH/6uawcxWNrN/p5+VLbohnJNGn1PaF+ML840ys8+Y2Z9T88UXzexvFl0deuwLM3uXmf3RzB5PTR4fM7Nrzewz5WklnZd+t9T/xN2fdffPSpqhuPm03NNdM9s8NaWeaWZPp3Q8aGZnmdlGpWmnK05+knRsKR8mpmnGmNnRZna1mT1iZi+l5V5iLXSnMLPfpuVuV2f8h9L4U0rDN7Po2/ZoWvdj6f/Nmlxvrfnb9DrjezQXt0LXBjPb0cyuSsf2M2Z2gZm9Ok23qZmdl/JjgUWT2Hrbt1o6J9xWOK5vNrMPN7MdBb0eO1bRzcYKTY7NbH8zuyWV5bkp/eNaTEMld39J0rXp3+LxeV5a/6510rx/Gn9GbX8pnjiWu1SVt2sjM/uemd2fyvmcVC53qljHK8zsa2Z2ZzqWn7dojvxLM9uhIlnnSdpYUSlrSi2NZra+mZ2dyuxSKzTPNbP/sOiK9EQqzw+b2Y/MbMM6y1zLzL6Z0v1iKoe3p2N89YppTzSzu1N5fNbifLRnxXKXazpsZquY2TyLPqSVN8PN7Idpnn1Lw7e06B72cNoPT5rZz81sizrLmWBm56fj6QUzu6m8zFaZ2SSLc/OCtA3/Z2brl6b5c9of4+ss44tp+77QYF1diq5YklRsBl/ZQsvMDrWoEyxMeXOWxU3bqmmbLtNN+n+S1lc8hS+uZ7SkSYqbc/+omO/1itZkd1YF+pLk7je5+7xmE9Lqfq865gvjqvp0vnyut7gO/jKVhWXWfT1rdL7f3qJZ9Lx0vF1rcVOjKg0bmNk5aR0LLM7tk6yFrnHWZF2kMH1T5+8622kpfTdZXLMWpmP2t2b2wUZpTcto6TxqLZzvLK6nZ5nZ7JSfc9Nx80MrdC01s5Us6sO3prL0okXXx4vNbPfSMivLkEW95kQz+2fKh2dSPvQ437dbPnpxkOImWzv13yrTJb0gaXVJr2tnAdZCPc/M1kzb/i8zszrLuyzl2Q6l4a2Uh2vSMlYys6+nfbXI6tTlBpNF//EL0rFfq2P/wMw2KE3Xbr23rWu5RSx0TZq+x/XIzN6exj+fjt/LzWyrOmlrus6a9tHhZnaFdXf5mmtmf7BeupiY2e5mdn1a/lyLruRb1ps+aa1u5u4t/UjqUtzlHl8afkIa/rSiSc4pku5Mw66RNDpNN17SVEWz7Hnp79rPewrLu0fSXZJ+ogjkzpT0z7S8n1Ska3pVunrZjtr0k3uZZkRhe/ctDJ9Y265W86+0/FPTct7RSl6ncUelcecWhpmiKeELksZUzPORNM+p6f/Jir4fnn4X98XYNM1oSVelae6R9ENF86nbq/aFpE+m4Y9LOiuVi7Ml3SLpr3W285FUbqzZ7S9Ms2maZomkVxaGfzmVr4skfTfl9ZWSlqW0jStM+55CebimlA/j0zRvkvSSovXBj1KZ/Lmk+ZIWS9qryX3+4bSe/60z/oo0/vWFYTspnj4uS/vpBEWz0aVp+I6lZUxNy5hYGDY+DZteZ73XKL1KoaKcXy5pQSoHp0r6bRp+r6QtFU+1bpD0v5J+ndL5lKQ1SssbK+nWNO8sSWconprNTsOm9eOx0+P4LOTLryQtTL9PkXRdGn63pJWbXP/EqnUUjpmZafzbC8N3TcN+VmeZv0vjt0l5NVXdx0CxTE4uzPPGlP/LFOX7VEVZnidpkaR9SueHG9PybpL0bUnfkvQLxTFxeEWadlfhnNFk3rikv6e035n28+mS9k7jD1Qcry+kdX9L3U2jH5O0cWl5mxTyYWYqZ6cpyuUiFc4PipvID6Rpr0vTnZWWu0zSIaVlT1bpOqA4vl3Sf1ds28qS5kp6QtKowvC9FM1kFyuOzW8pzg8LFcfoG0vL2SztN1cc8ycoyuNiSZeU09Qgv6em6S9WHKfTFc38rk/D75e0bmH6A9Lwb9ZZ3j0p3es0WO/nlM4baZ1Taz+Faaar+5h7VtJP0/6rnQeurlhu02W6ybL4iKKL3nxJl5XGv6+W14r3f5TLwmvTsKckrd7sentJT8v7Xb3UNVRR71H3uf56Sc8omnueprh2vzFNc43qn+8vU5TlP6a8/5Xi2FwgaYvSPK9S9/F2bSp35yiO7YvS8KlN5MtkNa6LTC2UpabO33W2s1ZXvV9x/TkhpflOSb9uIq0tnUfVwvlO0S1tTioPF0s6WXHuvCTNX6wX/Dyl4Y40zUmKhx/3q3S+ripDimvMP9K4W9L8Zyua1S+TdGhfy0eDfJyZ8qXHcaXuMtzVzPDCfpmfxu/YxPq7KpbfUj1P0ZLAJe1RsfyN0vbNbLc8FMuwpEsV151zUrn4QpvnoNp+nNzO/IXlvFNxPn4p5dGJ6q7DPKrlz0nt1HvbvZZflvL30pRPvyyN/7W6z7enKOoRtXP8OqVljlULdVbFDeWlinPv2SlPpiuOaZf0iYpt31/dx890dV+7n1GcU5c7vxfma6lu1s4O7iqvXNKb07CHJK1fGD4qZbhL+kqjA600/rUVw0Yomn27pP8ojZteL1PqLL82fa8FXnGzwSUdV3GwXNPHg+XPaTlrN8jr76j7wneKIuhaqrjgbFia54tpnqqK+zVp3OYVB0hlPqj7AnuGpJGF4SMl/TiNe3dh+CzFCeBVFcuqrDyqu1KwdaOyVmf+h9UzsBqnisBN0p4p784sDa/t06l11jGmKv2KE/pjku5ucp+voqi0LhcspHHrK05SswrDTFGJcUkfLU3/QXXfhBlRsc8mFoaNV/vBftW6a/t+rqSvlsZ9LY07ss4xd0xFnlylOIFv30/HTlXlppYvz0napjSuVnH6QJPrr+VNl7qPzeMkfU/SfekYOLFivjtVEUgpAtplkm5stF8K40YpLjoLJb2tNG5DxQX3caXjQHETwSVdVLGsEZLWrFPuXdItzeRLIe9dUfEsl/HNFZWD2SrccEvjdlMcmxeVhtcq1v9Tsa51JK1Syq9lkj5Umm6s4t0sCyStVxg+WT0DvNr1rEfFX9L7Vaq0SFpTcWH+t3qew16nqCjeWhpeqxSVj5F3F/Jvcnn9dfK7Vq5fkvSG0rjT0rgfF4atnNL6uNJN+IpyXXlDqpd1T6wzfrq66wbFoGaUuoO0ndst002WxUfS32crzq8bFcZfpbgJsZqqg31TBEKeys9hkt4gaaVmj4e+7ne1H+y7pBPqzHeNej/fl9NwaBr+g9Lw2nXg5NLw7RTnwLrX1Io0Te6t3KuN83ed7ZyjuAG0WsU6er3BlaZp+jyqFs93im6JPcpHGre6pFXT32MU57mZKtTLCtOuXfq/6npYu6n5IxUetChuSD2rnjdSWy4fveTh6opj8Y4642tluKuZ4WncQWnc/Fo+NUhDV8Xyx1SVAdWp5yne2VHvWlErr4cUhrVz/bsmLefvzZTPJra7th8rj7Mml7GG4hqyVNJbS+O+lJb/u8Kwluq9he1u51q+TBUP3wrjl0j6r9K4E1VdN51eZ3hlnVVxbd2oYt1jFHW/ucWymfKxdnOv/NCudu1e7vxeWqarybpZOzu5q7xyRRM5l/TJiuk3TwXi/kYHWpPrf2Na19fr7JQemVJnObXpey3wijt7y53E1H/B/mOSXmoir6t+HlJUPEaU5lk7HQR3lIZvkea7ujS8dgD0yAfFhatWKRxVMX5sKuy/Kgybpbhj2SNw6GU7z0xpKN817VHW6sxfC/yaDdT+XlEea/t0ahv78btp3o2bnP6sNP2+peG1GzWfLQz7zzTspjrLqj2927UwbKr6N9i/vmL62lPqB1SqbCjuyLqkc0rlconqt+7YLs3zrX46dqoqN7V86dGCQNLb07jm7pIuX/Gp+rlS0psq5jssjf9CaXjtYnNAo/1SGPfuNM8pdcYfmcbvk/6vVVJ/3mL5XiDpiRamd9W/4Ve7gO1bZ96LUjl5Rfp/hzT931Q61/VShs5vkF+fKQybrOrK6z/TNqxVGn5Zmn7binw+rM56a9u8dfp/o/T//eVjp7jPy2nqZbtr5frHFePGKCpZC1QIkBU3jV3S+0rT/0Kl80mT655YZ/z0NL7qicaBadzhhWEtlekmy2It2P8PFeoOivPUUqVruyqC/TR8Y0U3r+Lx/ZLiifmXVGhR1iAtbe13tR/sP6E6N0XU+/n+horpRysqpDMLw1ZSPOGdp3S8luap1QunNpk/k3sr92rj/F1nO+corltN3TCqWFfT51G1fr6rBfs96tKl+V6ZprtRpRaRvRwH1xT+H62opz2v0jkujT++eKy0Uz4apGdzlQLC0vhaGe6qM3yeum+yn6TuJ8OuQv2pQRq6ystvMH1lPU/SX9O2Fx90jlQ8hHpOhRaOrZaHYhlW4aFaX37UP8H+R+sdA4obtg+U80qt1Xu3U/vX8ovqzFMb/9OKcZuodNNG/V9n/bx61tVr+XhuxfS1a/dy5/fSNE3XzRq9jb9Zb0y/ry6PcPd7zewRSZuY2Vhvsm9b6pt0tOINm5sq7gQW9Uv/2maSkn77ACx7bcUToUY28fSCOjNbRdIESV9XPEV8i6LASJLcfY6Z/UrSAWb2Fu9+edkn0+8ftpC+zVMa75M0pU63pAWKN73W/EzRTPMfZvZLRTOUG9396V7WMzf9XqeFtBX12EepD9VHFQf4doqnbyML87zU8krM/lNR2Xyzovli+bN/4xQ3YRqZLukQRV/RywvDJykuGj8vDKt7bBWG76J42nRdE+tux8yKYY+l37d5z5eDPJp+F9+NsJMi/+v14Rydflf2m6rQ7LFTpWp7Hk6/12xxWde6+8TaP+m89RZFxeA6M3uPu19RmH6GonLyScVxUus3PFmxPb9qYd1vTr9fUydPa+9z2EpRGbpLcUf8w2b2GkUz0RsUFbTejoe5ktZrIV1SVKKe6iXNb7Pq/tevUpSTzRU3Dmv9JH/r7ssarLO27DF18qP2/oRmyti5kr4p6UOSfiBJZraepHdI+pu7/71ivdvVWe/mhfXepThWpag0V71Y5xqldzW06NryAHd/1sxuS8vbSt1fnjlT0hcUT+QukCQzW0fxlZO73b2/zyXNHnOtlummuftfzOwOSQeZ2TTFi/lGKILS3uZ7SNLbU5/OPRRP83Yu/HzGzCa6+wMNkjBQ+72e2919URvz9dhX7r7YzJ7U8vtqC0mrKs4fz1cs5wZFHve3vp6/f6YIqv9hZucrjpubPV7W2YxWzqOtnu8uUXQr+L6ZvUPRZe5GSXd5qt1Lkrs/Z2aXSvpvSbeZ2QWKG/9/8eZeTLelojXLje4+t2L81ZKmqLvMFjVbPnpTe/dAu9fwMep+X8hSxTXqSknfK11vW9ZGPe8Hiub8B6n7zej7KOo/Z/ryX+NptTwUtfx5YYv3NNQ7p5xjZueUhi1Xn+lFbzHfEjO7TnFj5g3qzqvpar7e25dreaN8avb80Vad1cxep4hdd1V0y1mlNF8xdq3lY6Nrdz1N1836K9gfk37X+3zR44q747U7Fb0ys7GKu2WbKHbcDMVGLVE8TT5S0VxiMNRemNFbsNquBepZEHrl7gsl3WlmH1UUxo+Y2ffc/ebCZD9Q9Ms8VNJNFi9InKTok/KbFlZXOyFvpu4Ta5WXv/Xo7t82s38rXm74WUW/TjezayUd7e5VB1rt5YetvpG1pmoffTut+3HFBfPRwvInK57qNM3M9lP09Vko6feS/qW4M75Mcaf0bWqyTLr7TWZ2r6R3mdma7v6Mmb1R8TKo37h78c3OzRxbUhwXA6WqErSk3rh0spe6T4ZSd1naKf3U0+x3Q1s+dgrmVQyrbc/IinFNc/c5ki41swWKcnKaCkGJuz9vZj+V9Ckze7u7/0lxl3p9xVcnFrawulqevr/BdGukdS81s90UNwr3V/Rnk6TnzexcRTP5qs8ErqrWj80n6gyvpfnoBvPXysHY9PvROtNVLXuP9NNo2b2ZoXi6NUkp2FfcPByluBFQtd5DGiyztt7aMf1knenq5V0jjZZXW6/c/X4z+62kd5jZa939X4rz4sqKZr39bV7FsKpjrqUy3Yb/p7gRt5eiZcEsd/9bMzO6+92KLlWS4oWMikr+mxXH+XsaLGKg9ns97S5vXp3hS7T8vmq0PfWG99W8imGtnL+PUly/D1K82+fLkpaY2RWKFle9fkKxxfNoS+c7d3/QzHZWPLHeS/GJZUl62MxO9eU/KfdBRcuSj6j7M9kLzezXkr7o7r3lf1/qFfPqzFMuH72pXU/avYY/6O7j25y3rjbreecpbtwfYmYnpZvSh6Zx5XNpq9e/onaO5+mKm4hF4xXXteJnx2u6mlxuy+WnxXpvX67ljfJpXnlAoc5adS1qus5q8RLHqxX1hD8qbt7V3oGxvaKuVyw/fb0mNF03669gv1bhX19xcJRtUJqukU8oAv3jvOfnNd6sCPYHnMWb5mtvzh6I77g/JWkzMxvt7otbmTHdSb1VceDuLOnmwri/pHEfMLPPSdpbUXBPbvAEr6y2vy5y9/f2OuXyaZshaUa6afMWxdOigxSfyNuq4olf7aCqehLYKzOboO4XocxKw16luNFwp6S3lJ86VL1FswnHK1oD7JgqfcXl/UitP5GZoWg2+kFFa4tJaXg5kCgeW1WaPbZqT0XrHfNjG8zfV7X0nebun++H5bV97AyS2vliczMbU3pqdKbis4GHKpoH11rdnNXiOmrLfLe7X9LMDO7+jKKye1Q6dt6W0nG4ogx8vDh9OgeOVTTLa0W9llC1NI9x9+eaWM689LuZlly1ZR/pffzOsrs/YmZXS9rdzLb0+HRV1ROI4nq3Kz3xb5TOenfk6x3rjTRaXvkccaYioDhEEfB8QlHJndHm+vtDy2W6RT9RBGc/UpSpb7S7IHe/x8w+ruh/u1sTs7S7313tnbcHojViUe34rbc9rbYGGhSpVcXpkk5PdYVdFC143i/pdWb2ukYtIlo4j7Z6vqvdVPqgxddAtlO8iOuIlN4X3P3HaboFSk3ZLb6Ms6viht3HFPXCt/aymv6qV7SrVtdbu9epBl/L9Tx3X2DxZvyjJO1pZncqzqt/cffbS5O3XB4K62n5ePaKT+uZ2UTFtew3VeOb1G75abXe2861vL/Oe+3UWacoAvC3u/s1xRFm9j+KYL9qHS3XBVqtm41oZqIm1O6MT6xIUC0Ye6DUhH+p6t8FnJB+X1Axrj+buTUyWdEi4XF1f5qtP9UqhpWfZmpCrclJ1X48U3HX9AB1vyG/qrlirTlh1b64R1HZflNqatwSd5/n7le4+yGKO4xrqfoCtKUiGL2j1XUo7q5L0qWFoH5TRZ78riLQ3yiNL+stH6Qok3dVXABGKCoLrZqh2OZJKW8/rHg/wuWl6eoeW6XhtzZYX6253KvLI8zslepuajxQblFsb28VkFb09dgZaMXmYMsdnykgvFHSfmb2H4rK3HXlspUslSQzqyqXf06/28pTd5+dKo5vU7zUqHwhkiJ/TT2fALSr1TTXpn+HNf7kap/yo8L09HuSmW0vaVtJV1Z0SWp1vbVjepc6+3ViC2ks6nFttPi03faKIL5cvi5TNLE80OJTRlso3r/SStPaRufNVvX3PlxOqoP8WlEnqb0Nuy9q15fKPm4l7e73Z1R93h6p2Ledco/iqdK2ZvaKivGtXhf7uyw15O5PufuF7v4BxRO51yqeNLayjN7Oo22XZ49PQM9y95MV9QOpTusRd3/Y3X+m6GZ0n6KM9RZI/1PxvoXtzayq6f3b0+9G9Yp2Pa5oiTnUrt/t1vNq7506VHHTdKSqW0gN6PltEPUW841Sd16Vy0+z9d6hkE/t1FknSJpbDvSTqtj11nrjCtfuelqqm/VXsF/7rvsUMyt+V3qk4tMcIxRvbS2aI2ldq/5+fVf6PbE40MzeIOl/+iG9vbL4rvwhik8suKSjWmxe26xr0u+mv9Nek/r71Aphj/4eiqdPz0o6RlGQfp+aapbNSb83Lo9w9yWKt/BvIOm7VfvK4hu7Wxf+38uqv0/9qvR7uf5kqYvB9op+sPMq5qtkZq80s+8q7qDPUzyZqulKv5erVJnZGoobHlXpq5sPhWVuZoXvoFq0+zlW0tZ15qnL3R9WVC7epGipsq7iZSflp9Q3Ki7Mu5jZ/sUR6f9dFZ/Au6HB+p5XVM7+s7S/Riq6PFQdh/0mteb4maQdLb5P3GMfmNlrzWyTJhd5Tfrd8rEzSGp3gv9eJ3g6U9EX8ALFCbveuzR6K5cXK1pSHWZm+1TNbGZvNrPV0t+bpP5kZWsqmpZVNQer5W9/3ez8nuLp+Glm1uMGk8V3al++uLr7LMXnrbZXNFktT7+2xXtMlLoIXS/pvWZ2UNXKzWyb9DSvGRcqnl5+THHjV+q+AVB0juIcdGxqglte54j0NEUpnY8omohuongSWJz23Wr/hvbH0zWyaKqiqeAvyk8rU3PTsxTn5to1vJV3ukiNz5utaqlMt2mKorXZO8o3gyvWtYnFt8zHVIwzSV9N/zZ8x0Ef9vstkja2nt+WnqIWu6P1p9RK8JeK8jWlOM7ie9oHtLjI/i5LPZjZymb2X2nfFYePVjyMkEp1lIpltHIebel8Z2Y7W7wbpKw27MU03brpRnHZ6orPTC5RL+8lSvvuZ4omyMu1bjGz1ypaRi5WtITpd+kp9XWS1kkPBIeKLrVRz3P3+xTNtt+paLU3T3FslLVUHoaw3yi6Vn/Youl60ecUD9T+4PG+k5c1W+8dgGt5y9qss3ZJWsvMti1Nd7DiRlzZxYqbuR8xsx1L46aq0PWuQkt1s35pxp/6YnxLEVjeadFn6AVF8/HXKwKRU0qz/VHRD+Iqi5c5LFK8UOZSxd2foyV9x8zerrhTuZniQLpQ0QSkv7zHzManv1dXXGjeqghwn1V8a7TqoJWkLVPznSoPufvX64yr+Y3is3rvUHwWqJ7Pmdm89HftBX3vUuy/77l7j7uv7v6iRf+xz6ZB9fph3qy4gHzOzNZSd9+RM1LT4+MVTck+Jem/LZq2PqqoIG6meFv8VxUvrZGi/9JCM7tBUfBNkZ87KZrZ/6G0/onqDnoabb8p3kK7hSLIXV0R6H7M3e8tbPsTZnaeomnebWb2O8VBs4fiCddt6nnH7J9puz5kZi8pnni5pJ+4+4Pq/k7x3yxehrM4bfvWis9L/ncv6a/nXMVT3RMK/y/H3d3MJikqib80s4sVQfsWirv8zyve4N7o5WVSHIM/lnSjxYuJFiru4I+WdLtiPw+kwxVl5huKwOQGRXnbUPGSk50Ud3qbaZb0GzV37Ay08bb8y1vWUnRd2UFR6Tu8aiZJ5yvK1DjFne0L60z3R0Xz0gst+pQuUPRX/EnqyvNexTspLjezmxRl+0XFk8CdFBfdDdKw7SRdZGazFF1cHlNcbN+tKAMnq6fapyov7jUXmpSaPh+kCC7/YWZXKY7h0eo+9z6taO1T8zHFzZ0TzOx96W9TlKU907RdadqPKCoTPzazzyq6U8xTPMndVnE9erOa6DKUmmeeL+lgxTtI5qjnE4jaS1H3V7xJ+c9m9kfF96uXpW16s6K5arF/6mGKc+93UhB3u+K8vp/aP59cqTi2f6V4crZL+unS8jdDi85WtI4ap/iCy811pqvnT4rtPNHMXq/Ugsjdp7Wcer3cPa2VMt3OOh5Scy9SleK6cbqkU8zsRsVx87zi+rdbSstTipcdNqOd/X6q4jx3scVLb+cqzjGbKI6FiU2ueyB8WZEPx6Tg8ybFvvmA4l0l71F3F7JGGtVF+sOqijpIl5n9RdKDiuNyD8U16JI6LayKmj6PtnG++4jiRte1iu4hzyhaG/y3oo78nTTdOMW55m7F08GHFXWjdyqa/n630Y0sxb57q6TDLR4e/UnxkuQPKG4YHO6NXzrZFxdIep+ibPf6noRB1Jd63g8U9bn1FGW2x/mpzevfkOPu89N2nC/p2nSdfEhR79lT0df80DqzN6z3Jv12Le+DVuus31GU5xvSdfhZxQtdd1G0KFvugV3Kx08qbgxdn87vtWv36xU3xHZVtdbqZt76Jxe6VOdTAIrg6gbFxXChosLzVRW+g1yYdnXF061HFHchXYXPgikOrksUO/IFRaD4CdX5hJja//Re7Wep4inOvxSBxOGq+CSJL//pit5+bmsyHRelvKr6xnVXxXKXKk4Gv1ODT82p+9MQj6ni03mF6fZSXGjnF9YzvjDeFE/Q/6ioaLykCIxvkPQVSa8uTPuptE33Ky7ccxVNfo5R9ed5fq76n+kqb//itLw7FHec91ed7x0r3jT7TXV/s/lhRUuNtVXnc2aKA/ePigN0WVrnxML4yYqK5wuKAO0ixWd4ppanbXLfr5bW5arzvdnCtFukbX485cPjkn4qaYuKaeumRxG4/CPl+ROKm0CVeaJePkeoxp/yc1V8LkpxY+dwRaXw2ZSOh1K+f06l7wP34djpsf4G+dLr9rRwDlikKPtnV+2b0jJOS/NUfmYsTTNScVG8P+33qu16leIN/3cqjrn5ihukv1YEyqPSdBulZd2Y9v0ixfn3Skl7V6x7jOLmwm9aLNeV+740zTaKc/CDKR1zU/p/JGm3iunXVlSi/5n2+TzFsfhNlb6XraiofkVxzZiftuEBRaD+SUmrl45pV/3Pfe1S2LdnNNim8YonN/elND6nuDH3E0nvqZh+QtpH8xTnlJsl7dsoTb0d7+o+Ry1QXCfOkbRBE8eRq86nA5tY/8cK63QVziPq5bqs3s8vTZXpJsviI01O2+PTe4onte9RVORvVVT0FivOXbNS+Vu3xfxqeb8rbu7PTOVqjuKm+muq8ldNnMvU4vk+je9S9ffNxykq7E+nMnCboi/u/ml5n2shb+rWRdTG+bu8nYqg6hjFOe+hlJ9PK5oNf0p16hOlZbZ0Hk3zNHW+U3we8kzFTaC5KT9nK47j1xemG6u4SVd7+LJIUSe4RhF8WGn99a7HYxXn1fvSMuYpHizs2crx2lv56CUfV0r595de9mdXM8Pb+emlPE9WG/U8xbX66TTN6xqsu+nrX7kM98N21/bj5H5Y1k4pf55WxAUPpfK7YS/ztFLv7c9reaPx/VJnVdxw+7MiDp6niNV27W39ipuNNyiudc8oAvgtVef6qTbqZpZmRIeY2VsUF43Pu/tp/bzsyYqLxDR3/1p/Lrs/pCY4XYpmPAPxiR5kbCCPncFg8VmcXRU3Be7rcHJ6MLMjFG8u39Xdr+90etD/LPqizlY8jdrAW3xpFFCPmX1TUVHfy91/2+n0YOixeGnZCZLe6E1+FWOoMrNNFefSG919ODTFxzDVTt2MYH8ISM09dpW0qTf3jdRmljlK8SRiK0mbePQXHFLM7DuKJ82bu3u9T3gAdQ3EsTMYUt/uv0i6yt337nR6yizez/EvSTe5+/6NpsfwZGYfUDQh/KG7f7rT6cHwY2YbuvtjpWHbKJ6EvSRpnA/MO48wzFm8b+WfinfbtNN1acgwsx9I+rSkD3n9rr9An7RbN+uvT++hb76o+DTdJoom1m0zs10UL/qZqGgq9L0hGuibotnZxwn00Qf9duwMBjP7tKLZ64GKriLHdjZFdY1XvLxtemeTgYFgZl9WvF/ik4rmqid1NkUYxmaa2WxFM+QXFH1c91W8mPlTBPqox90XWny+8u1mtrq7v9DpNLXCzDZW9C3fTHFNv13Rjx0YKOPVRt2MJ/uZSS8LO1bRB+gCxXcqq96yDWCQmVmXos/n/Yq+j+VvtgMDzsxc0ff8LklHu/vvO5wkDFNmdqzivQbjFX1s5yn6rJ7q1Z+gArJg8ZWVPyn6Wt8g6dPufn8n0wRUIdgHAAAAACAzIzqdAAAAAAAA0L/os49ha5111vHx48d3OhkAAADI2KxZs/7t7ut2Oh1Aqwj2MWyNHz9eM2fO7HQyAAAAkDEze7DTaQDaQTN+AAAAAAAyQ7APAAAAAEBmCPYBAAAAAMgMwT4AAAAAAJkh2AcAAAAAIDME+wAAAAAAZIZgHwAAAACAzBDsAwAAAACQGYJ9AAAAAAAyQ7APAAAAAEBmCPYBAAAAAMgMwT4AAAAAAJkh2AcAAAAAIDME+wAAAAAAZIZgHwAAAACAzBDsAwAAAACQGYJ9AAAAAAAyQ7APAAAAAEBmCPYBAAAAAMgMwT4AAAAAAJkh2AcAAAAAIDME+wAAAAAAZIZgHwAAAACAzBDsAwAAAACQGYJ9AAAAAAAyQ7APAAAAAEBmCPYBAAAAAMgMwT4AAAAAAJkh2AcAAAAAIDME+wAAAAAAZIZgHwAAAACAzBDsAwAAAACQGYJ9AAAAAAAyQ7APAAAAAEBmCPYBAAAAAMjMqE4nAACATjnjjDM0e/bsTiejYx599FFJ0rhx4zqcks6ZMGGCjjjiiE4nAwCAfkewDwBYYc2ePVu33Xm3lq62VqeT0hEjX3xWkvTEohWzOjDyxbmdTgIAAANmxby6AwCQLF1tLS3Ycp9OJ6MjVr3nCkla4bcfAIAc0WcfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwD0BlnnKEzzjij08kAAACDgOs+sGIY1ekEAOi82bNndzoJAABgkHDdB1YMPNkHAAAAACAzBPsAAAAAAGSGYB8AAAAAgMwQ7AMAAAAAkBmCfQAAAAAAMkOwDwAAAABAZgj2AQAAAADIDME+AAAAAACZIdgHAAAAACAzBPsAAAAAAGSGYB8AAAAAgMwQ7AMAAAAAkBmCfQAAAAAAMkOwDwAAAABAZgj2AQAAAADIDME+AAAAAACZIdgHAAAAACAzBPsAAAAAAGSGYB8AAAAAgMwQ7AMAAAAAkBmCfQAAAAAAMkOwDwAAAABAZgj2AQAAAADIDME+AAAAAACZIdgHAAAAACAzBPsAAAAAAGSGYB8AAAAAgMwQ7AMAAAAAkBmCfQAAAAAAMkOwDwAAAABAZgj2AQAAAADIDME+AAAAAACZIdgHAAAAACAzBPsAAAAAAGSGYB8AAAAAgMwQ7AMAAAAAkBmCfQAAAAAAMkOwDwAAAABAZgj2AQAAAADIDME+AAAAAACZIdgHAAAAACAzBPsAAAAAAGSGYB8AAAAAgMwQ7AMAAAAAkBmCfQAAAAAAMkOwDwAAAABAZgj2AQAAAADIDME+AAAAAACZIdgHAAAAACAzBPsAAAAAAGSGYB8AAAAAgMwQ7AMAAAAAkBmCfQAAAAAAMkOwDwAAAABAZgj2AQAAAADIDME+AAAAAACZIdgHAAAAACAzBPsAAAAAAGSGYB8AAAAAgMwQ7AMAAAAAkBmCfQAAAAAAMkOwDwAAAABAZgj2AQAAAADIDME+AAAAAACZIdgHAAAAACAzBPsAAAAAAGSGYB8AAAAAgMwQ7AMAAAAAkBmCfQAAAAAAMkOwDwAAAABAZgj2AQAAAADIzKhOJwAYTubMmaPjjjtOxx57rNZee+2mpv/a174md9fBBx+sY489VqeffromTJiw3PjFixdr9OjROv744/XMM8/o8MMP19KlS7VkyRKdeuqp2mGHHSRJM2fO1NFHH62VVlpJY8eO1ZNPPtnr+kePHq1ly5Zp6dKlTW3f7NmzX04bAADI09y5c/Xwww9r4sSJbS9jvfXW03PPPad1111XTz/9tDbYYAOtvPLKOvjgg/XVr35VixYt0korraS11lpLTzzxhMaNG6cxY8bo85//vE4++WQ9/PDD2nDDDTVq1CiNHDlSX/jCF/Ttb39b7q5p06b1qGe1WgcDwJN9oCXnnnuu7rjjDs2YMaPp6e+66y7dfffdmjp1ql544QVNmzatx/j77rtPd911l2bMmKFp06Zp4cKFWrx4sdxdxx577MvTT506Ve6uRYsWNQz0JWnx4sVNB/qSlksbAADI08MPP9znZTz55JNasGCBHnroIS1YsED333//y/WdRYsWSZJeeuklPfHEE5KkRx99VHfddZemTZum++67TwsXLtT999+ve++9V3fffbemTZv2cp2pqp7Vah0MAME+0LQ5c+boqquukrvrqquu0pw5c5qavmb+/PmSpK6uLs2ePbvHeEm6/PLL1dXVtdyw+fPna9asWZo5c+bLyxgotbQBAIA8XX311QO6/EZ1lXI9p2r4lVdeuVw9q9U6GIBAM36gSeeee66WLVsmSVq6dKlmzJiho446qtfpFy9eXDlu2rRp2nbbbXuMX7JkSeX0xaf7A+2www7TlltuOWjrAzpp9uzZGvGSdzoZ6JARC5/T7NnP68gjj+x0UoBBc/vtt3c6CQ0tXrx4uXpWq3UwAIEn+xhWzOyTZjbTzGY+/fTTg7ruP/zhDy8H40uWLNHvf//7htO7VwcRXV1dvY4vmz9//oA/1a+pNb0DAADoBHdfrp7Vah0MQODJPoYVdz9L0lmStOOOOw7q47jdd99dV1xxhZYsWaJRo0Zpjz32aDj9pZdeWhnQjx8/Xttuu23d8WVrrLGGpMZN4/rD+PHjdfrppw/4eoCh4Mgjj9Ss+xu//wJ5WrbKKzVh0/U452GFsvvuu9dtSThUmNly9axW62AAAk/2gSZNmjRJI0bEITNy5EgdcMABDacfPXp05bgpU6ZUjh81qvr+23HHHaepU6e2nug2TJkyZVDWAwAABt9XvvKVTiehodGjRy9Xz2q1DgYgEOwDTVp77bW11157ycy01157NfzsS236mtrT+fHjx2vChAk9xkvSvvvuq/Hjxy83bI011tAOO+ygHXfc8eVlDJRa2gAAQJ522223AV1+o7pKuZ5TNXzvvfderp7Vah0MQCDYB1owadIkbbPNNk3fUZ40aZK23nprbbXVVpo6dapWX3315Z6c18Zvttlm2nrrrXXAAQdoypQpWmWVVTR69GiZmY477riXp586darMTCuvvLLWW2+9husfPXq0Ro4c2fT28VQfAID8vfrVr+7zMtZbbz2tuuqq2njjjbXqqqtq0003fbm+s/LKK0uSVlppJa2//vqSpHHjxmnrrbfWlClTtNlmm2mVVVbRpptuqs0331xbbbWVpkyZ8nKdqaqe1WodDIBkzb4gDBhqdtxxR585c2ank5GF2puo6beKFU2tz/6CLffpdFI6YtV7rpCkFXr7d6DPPlZAXPdbY2az3H3HTqcDaBVP9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADIzqtMJANB5EyZM6HQSAADAIOG6D6wYCPYB6Igjjuh0EgAAwCDhug+sGGjGDwAAAABAZgj2AQAAAADIDME+AAAAAACZIdgHAAAAACAzBPsAAAAAAGSGYB8AAAAAgMwQ7AMAAAAAkBmCfQAAAAAAMkOwDwAAAABAZgj2AQAAAADIDME+AAAAAACZIdgHAAAAACAzBPsAAAAAAGSGYB8AAAAAgMwQ7AMAAAAAkBmCfQAAAAAAMkOwDwAAAABAZgj2AQAAAADIDME+AAAAAACZIdgHAAAAACAzBPsAAAAAAGSGYB8AAAAAgMwQ7AMAAAAAkBmCfQAAAAAAMkOwDwAAAABAZgj2AQAAAADIDME+AAAAAACZIdgHAAAAACAzBPsAAAAAAGSGYB8AAAAAgMwQ7AMAAAAAkBmCfQAAAAAAMkOwDwAAAABAZgj2AQAAAADIDME+AAAAAACZIdgHAAAAACAzBPsAAAAAAGSGYB8AAAAAgMwQ7AMAAAAAkBmCfQAAAAAAMkOwDwAAAABAZgj2AQAAAADIDME+AAAAAACZIdgHAAAAACAzBPsAAAAAAGSGYB8AAAAAgMwQ7AMAAAAAkBmCfQAAAAAAMkOwDwAAAABAZgj2AQAAAADIDME+AAAAAACZIdgHAAAAACAzBPsAAAAAAGSGYB8AAAAAgMwQ7AMAAAAAkBmCfQAAAAAAMkOwDwAAAABAZgj2AQAAAADIDME+AAAAAACZIdgHAAAAACAzBPsAAAAAAGSGYB8AAAAAgMwQ7AMAAAAAkBmCfQAAAAAAMkOwDwAAAABAZgj2AQAAAADIDME+AAAAAACZIdgHAAAAACAzBPsAAAAAAGSGYB8AAAAAgMwQ7AMAAAAAkBmCfQAAAAAAMkOwDwAAAABAZkZ1OgEAAHTSyBfnatV7ruh0Mjpi5ItzJGkF3v65ktbrdDIAABgQBPsAgBXWhAkTOp2Ejnr00SWSpHHjVtSAd70VvgwAAPJFsA8AWGEdccQRnU4CAADAgKDPPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADJDsA8AAAAAQGYI9gEAAAAAyAzBPgAAAAAAmSHYBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMmLt3Og1AW8zsaUkP1hm9jqR/D2JyckQe9g3513fkYd+Rh31D/vUdedh35GHf9Ef+vcbd1+2PxACDiWAfWTKzme6+Y6fTMZyRh31D/vUdedh35GHfkH99Rx72HXnYN+QfVmQ04wcAAAAAIDME+wAAAAAAZIZgH7k6q9MJyAB52DfkX9+Rh31HHvYN+dd35GHfkYd9Q/5hhUWffQAAAAAAMsOTfQAAAAAAMkOwDwAAAABAZgj2AQDIiCWdTsdwQ54Bwx/HMbA8+uxj2DOz0ZL+U9K2kl4tqUvSde5+RyfTBQCDxcx2lvSEuz/U6bRgxWVmr5S0yN0XmZl5oZJpZiPcfVkHkzcsmNm7JF3v7s+QZ+0xszXcfX6n0wEMBQT7GNZSxWKapE9LekAR6K8naYyk+ySd6+4/7VgCsUIwszGSdpA0WtJMd5/T4SQNO2a2iaTdJC2VdJ67L+xwkoYNM1tf0m2SrpH0mKS70s8sxXlxT3e/s1PpGw7MbB1JH5L0/VKAuqq7L+hcyoYPM1tb0v9ImuHuf0/DNpK0krvf39HEDRNmtp6kf0n6nqSvEOi3xsxGKa4jh0gaKek77n6dmY1298WdTR3QGaM6nQCgjz4saW9Ju7n79Wa2qaQNJG0taQ9Jx5vZGHf/ficTOZSlCtqqkp5y95fqTPMKScvc/YVBTdwwYGZbS/qKpI+kQXeZ2afd/frCNKMkjXT3RZ1I41BnZm+WdKykiYruZbua2Zcl7SXpzZJuVtwAqCyf0MaS1pK0kaJ10x6SnpH0gqT1Ffk5QtJsd3+xY6kc2g6QdKi7f096+bj+sKT1zGyOpMvc/cZOJnAY+IDimP2Gma0m6WBFvr46tayeIelb7v7vziVxyHufpNUkTZK0j5l9zt2v7nCahpN9JB0vaZ7i/PclM3tR0ifM7G2Srpb0bXf/V+eSCAwunuxjWDOzSyTd5+5fqBg3WtI3JO0naW93f2Cw0zccmNm3JW2veCr4N8VThcclPe/uS9I0n5G0ibsf3aFkDllm9hNFoPU1Sf+UNF3SmpLeK2m+uy8zs/cq8u9/O5bQIczMLpT0oqTDJI2T9L+KJ/zbK/J0vKQT3P3HHUrikGZmq0g6RtK6kr6qyLc3SPqkIvj/pyRT3DA5tUPJHNLM7E+SbnH3L6Vm1FMkbSjpHkW+rirpk+5+TedSObSZ2ZWSbnf3L5vZFxWB662SrpL0ekkfk/QLd59WbuKPYGbXSbpC0nmSfqY4fk+SdI67LzCzke6+tJNpHMrM7LeKMniMma0q6ULFA6A5kv6kaL1zjbsfThnEioIX9GG4u1vSdmb2qvKI1GTrBEXQ8NbBTtgwMknSOpI+IemXki6V9CNJR5jZbma2mSIIo/9btb0lTXP3W1PLh6MUFbSDC00wvyRpbIfSNxzsKukMSc+5+12SXqdojr6tpN0l3SJpv9RtByWpy8MJkraRdLy7X+fup0t6XtLZilYTf5V0b+dSOeTtLOnc9PfRiiB1a3ffXdLbJT0r6UBe/tWrEZKeTn8fKOlsdz/M3S+VdLLiyf6+ZjaBIKuuHRXBaJekd0q6QHED79TUpYRAv3fbKOowSt1vtlIE/Hu5+zRJZypaOr2BMogVBcE+hrufS9pM0klmtlNqOlj0CkUT15mDnrJhwMw2lvSwpMPcfWNFcPVdRWA6RdLFki5SXDB/2aFkDlnpRsg8SU/Whrn7I4q8+6qZjUvBwetE/lUysy0UzS0fdXdPx/BGkk5397mpQnaa4un+KzqX0qErPaFaomjC+noz+0Yatb3iSeoV7v5pd7+kY4kcwszsdYon9+PSuyNeI+kUpRuc7j5X0rckbSepx41lvOx8dd+Ue1TS3NqIdOPzh4rjmCCrgpltL2mJpL+mY/oZRRexUxStIm43s/244VTNzNZSvKtpopmNTvWbjSVdWOiv/wtFS53nO5RMYNAR7GNYc/fbJR2peDJ4naQrzewbZnagmZ0i6XJJN6anhehphCKP1pQkd5/t7qe7+57uvrbiida9iv7893QwnUPVWElPKZ4mKPWLlrufL+lGRYDwRkkjeEFaXWtLulIRbNX+n6JotVOzqqQ13f3RQU7bsJBukoxM/fGnSHqdmZ2kCFZnm9mIWtlEpQ0U5e1URSuS5yS9VHo52tOS1nL3JyvmR7ha0sqSzpL0hKKf9LjC+HdLGkV/6br2k3Rr8em9uy9w9+8objT9U9HFaVJnkje0pZtyFyreFXG5ohvE7YpWOzVvVJTB2YOfQqAz6LOPbJjZvpLer2iyP0bSnYqK2/fd/cFOpm0oM7M1FPHCC2Y2sja40F//TEVz1rd1LJFDVAqgtpC0xN3vS09cRrj7UjPbRdLpiqdYT7n7Pp1M61CV8nBNxee6KruKpBt3W7v7voOauGHKzA5RvM37Z4ruJFzoe5HK4DqSJihucJriSy4PF6b5X0lbcRz3Lr0k97uK7k2muA7PUvTZX1nST939W51L4dCV3jP0yuLXXNI1xdK7XzZUtHJ60d0P7FQ6h7LUT38/xeeYz1e0Spwk6URFGXyn4os5R3QskcAgI9hHlsxsJUlj3f2pTqdlOEv5+H1J1/IJw+bVXqKUXn74OUkfc/efdzhZw0rt5Ulmtr+iKeuJqcUEmmBm2yqeTtMip0Xp6xnLak/2zeyDkr4u6RvuTnecJqSm/G+StL+kzRWfgrxC0pX0O29fCv7HuPu8TqdlOEh1mGMV79J5WtGM/wfu/lBHEwYMIoJ9ZI23rfadma0uaSEVtNalvNtf0iWp/yVaZGZjFJ/S/Ft6ER0wqFIZ3FbxRHBBp9Mz3HAd7h/kY/vSTZJXuPtznU4LMNgI9gEAAAAAyAwv7AEAAAAAIDME+wAAAAAAZIZgHwAAAECWzOz/zOwpM2v4CVwzO83Mbks/95rZvEFIIjBg6LMPAAAAIEtmtquk+ZJmuPvrW5jvCElvcPeDBixxwADjyT4AAP3MzMaa2WcaTDPezD7SxLLGN/NEqs68XWa2Ti/jVzWza81spJlNNLPLWlh2w21sMP95ZrZZu/MDQDPc/TpJc4vDzOy1ZnaVmc0ys+vNbMuKWT+s+FwfMGwR7AMA0P/GSmoUCI+X1DDYH2AHSbqwzU9rjlXjbezNmZKO6cP8ANCusyQd4e47SPqipB8UR5rZayRtIunqDqQN6DcE+wAA9L+TJL029fs8Jf3caWZ3mNkHC9O8NU1zVHqCf72Z3Zp+3tLMisxsspl9r/D/ZWY2scl0flTSxYX/X2lmF5nZXWb2QzMbYWYHm9lpheUfYmbfLm9jGne0mf3VzP5uZselYaub2eVmdnvKg9r2Xy9pdzMb1WRaAaDPzGwNSW+RdL6Z3SbpR5I2KE32IUm/bvNGKDBkcIEFAKD/fVnS6919ezN7n6RPSdpO0jqS/mpm16Vpvuju75QkM1tN0h7uvjA1b/+FpB0HKoFmtpKkTd29qzB4Z0lbS3pQ0lWS3ivpPEl/N7Nj3H2xpAMlHSrp+do2puXtKWmztAyTdEnqK7uupMfcfd803RhJcvdlZjZbkS+zBmo7AaBkhKR5tXNXHR+SdNjgJAcYODzZBwBgYO0i6RfuvtTdn5R0raSdKqYbLen/mdkdks5XBN0DaR1J80rDbnH3+9PTrF9I2sXdX1A0ZX1n6tc62t3vqFjenunnb5JulbSlIvi/Q/EE/2Qze6u7P1uY5ylJG/bnRgFAb9z9OUkPmNn7JcnCdrXxZraFpDUl3dyhJAL9hif7AAAMLGtyuqMkPal40j1C0sIm51ui5W/er9LkfAsqpi1/oqf2/9mSviLpHknn1FmeSTrR3X/UY4TZDpL2kXSimf3O3b9RSOuCJtMLAC0zs19ImihpHTN7RNKxii5MZ5rZFMWN1vMk3Z5m+bCk85xPliEDBPsAAPS/5yW9Iv19naRDzexcSWtJ2lXS0ZLGFaaRpDGSHknN2ydJGtnkurokfcbMRqRl7tzMTO7+THoL/yruXruxsLOZbaJoxv9BxUus5O5/MbNXS3qjpG0rtlGSfivpeDP7mbvPN7NxkhYr6hpz3f2nZjZf0uTCPJtL+keT2wkALXP3D9cZtVed6acOXGqAwUWwDwBAP3P3OWZ2Y/pk3pWS/q54auSSjnH3J8xsjqQlZna7pOmKt0FfkJqW/knSC02u7kZJDyiay9+paELfrN8puhn8If1/s+LFe9soblJcVJj2V5K2d/dnqrbR3Y82s60k3WxmUnzX+mOSJkg6xcyWKYL/T0uSma0naYG7P95CegEAQJOMFioAAKyYzOwNkj7v7h9vYtrLJJ3m7n/sp3UfJek5d/9xfywPAAAsjxf0AQCwgnL3v0n6k5nV7TJgZmPN7F7FU/h+CfSTeZLO7cflAQCAAp7sAwAwDJjZOySdXBr8gLvv12C+tSVVBen/5e5z+it9AABgaCHYBwAAAAAgMzTjBwAAAAAgMwT7AAAAAABkhmAfAAAAAIDMEOwDAAAAAJAZgn0AAAAAADLz/wF2JAPITNwyhwAAAABJRU5ErkJggg==",
"text/plain": [
- "Text(0.5, 0, 'Sample')"
- ]
- },
- "execution_count": 89,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": "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",
- "text/plain": [
- ""
+ ""
]
},
"metadata": {
@@ -523,44 +497,19 @@
}
],
"source": [
- "import matplotlib.pyplot as plt\n",
- "plt.boxplot(df['nb_of_sec_with_vol_ul_<_1250b'], vert=False)\n",
- "plt.title(\"Detecting outliers using Boxplot\")\n",
- "plt.xlabel('Sample')"
+ "pl.plot_box(df, 'total_ul_(bytes)', 'Total DL (Bytes)Data volume (in Bytes) received by the MS during this session (IP layer + overhead)')"
]
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 9,
+ "execution_count": 17,
"metadata": {},
"outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "/home/jedi/anaconda3/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
- " warnings.warn(\n"
- ]
- },
{
"data": {
- "image/png": "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",
+ "image/png": "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",
"text/plain": [
- ""
+ ""
]
},
"metadata": {
@@ -570,16 +519,26 @@
}
],
"source": [
- "fig = plt.figure(figsize=(10,5))\n",
- "sns.boxplot(df['total_ul_(bytes)'])\n",
- "plt.title('Box Plot: Total UL', fontsize=15)\n",
- "plt.xlabel('Data volume (in Bytes) sent by the MS during this session (IP layer + overhead)', fontsize=14)\n",
- "plt.show()"
+ "pl.plot_box(df, 'total_dl_(bytes)', 'Total UL (Bytes)Data volume (in Bytes) sent by the MS during this session (IP layer + overhead)')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "It can be seen that most of the column have outliers"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Get Outlier overview"
]
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 18,
"metadata": {},
"outputs": [
{
@@ -604,15 +563,15 @@
" \n",
" | \n",
" bearer_id | \n",
+ " start | \n",
" start_ms | \n",
+ " end | \n",
" end_ms | \n",
" dur._(ms) | \n",
" imsi | \n",
" msisdn/number | \n",
" imei | \n",
- " avg_rtt_dl_(ms) | \n",
- " avg_rtt_ul_(ms) | \n",
- " avg_bearer_tp_dl_(kbps) | \n",
+ " last_location_name | \n",
" ... | \n",
" youtube_dl_(bytes) | \n",
" youtube_ul_(bytes) | \n",
@@ -628,278 +587,374 @@
" \n",
" \n",
" \n",
- " | count | \n",
- " 1.500010e+05 | \n",
- " 150001.000000 | \n",
- " 150001.000000 | \n",
- " 1.500010e+05 | \n",
- " 1.500010e+05 | \n",
- " 1.500010e+05 | \n",
- " 1.500010e+05 | \n",
- " 150001.000000 | \n",
- " 150001.000000 | \n",
- " 150001.00000 | \n",
+ " 38 | \n",
+ " 7.277826e+18 | \n",
+ " 2019-04-18 15:40:37 | \n",
+ " 982.0 | \n",
+ " 2019-04-25 15:40:38 | \n",
+ " 33.0 | \n",
+ " 604800.0 | \n",
+ " 2.082095e+14 | \n",
+ " 3.376394e+10 | \n",
+ " 8.616400e+13 | \n",
+ " T86868A | \n",
+ " ... | \n",
+ " 21679309.0 | \n",
+ " 16508079.0 | \n",
+ " 23243098.0 | \n",
+ " 6438422.0 | \n",
+ " 213008522.0 | \n",
+ " 11503163.0 | \n",
+ " 295325210.0 | \n",
+ " 12082520.0 | \n",
+ " 49727524.0 | \n",
+ " 267689014.0 | \n",
+ " \n",
+ " \n",
+ " | 535 | \n",
+ " 7.277826e+18 | \n",
+ " 2019-04-23 23:45:02 | \n",
+ " 419.0 | \n",
+ " 2019-04-24 23:45:02 | \n",
+ " 313.0 | \n",
+ " 86399.0 | \n",
+ " 2.082017e+14 | \n",
+ " 3.366726e+10 | \n",
+ " 8.637690e+13 | \n",
+ " D84798A | \n",
" ... | \n",
- " 1.500010e+05 | \n",
- " 1.500010e+05 | \n",
- " 1.500010e+05 | \n",
- " 1.500010e+05 | \n",
- " 1.500010e+05 | \n",
- " 1.500010e+05 | \n",
- " 1.500010e+05 | \n",
- " 1.500010e+05 | \n",
- " 1.500010e+05 | \n",
- " 1.500010e+05 | \n",
+ " 15444612.0 | \n",
+ " 6669529.0 | \n",
+ " 6791490.0 | \n",
+ " 13137110.0 | \n",
+ " 202645712.0 | \n",
+ " 4345867.0 | \n",
+ " 41485262.0 | \n",
+ " 9191686.0 | \n",
+ " 36072646.0 | \n",
+ " 236941106.0 | \n",
" \n",
" \n",
- " | mean | \n",
- " 1.012045e+19 | \n",
- " 499.188199 | \n",
- " 498.800888 | \n",
- " 1.046084e+05 | \n",
- " 2.082016e+14 | \n",
- " 4.182441e+10 | \n",
- " 4.842592e+13 | \n",
- " 97.774455 | \n",
- " 15.315031 | \n",
- " 13299.95768 | \n",
+ " 554 | \n",
+ " 1.304243e+19 | \n",
+ " 2019-04-23 23:56:25 | \n",
+ " 766.0 | \n",
+ " 2019-04-24 23:56:26 | \n",
+ " 385.0 | \n",
+ " 86400.0 | \n",
+ " 2.082017e+14 | \n",
+ " 3.366344e+10 | \n",
+ " 8.637690e+13 | \n",
+ " D83916A | \n",
" ... | \n",
- " 1.163407e+07 | \n",
- " 1.100941e+07 | \n",
- " 1.162685e+07 | \n",
- " 1.100175e+07 | \n",
- " 4.220447e+08 | \n",
- " 8.288398e+06 | \n",
- " 4.211005e+08 | \n",
- " 8.264799e+06 | \n",
- " 4.112121e+07 | \n",
- " 4.546434e+08 | \n",
+ " 16220887.0 | \n",
+ " 15928572.0 | \n",
+ " 10939175.0 | \n",
+ " 4525125.0 | \n",
+ " 603881110.0 | \n",
+ " 4134867.0 | \n",
+ " 228539389.0 | \n",
+ " 4085765.0 | \n",
+ " 29908196.0 | \n",
+ " 642815619.0 | \n",
" \n",
" \n",
- " | std | \n",
- " 2.892438e+18 | \n",
- " 288.610872 | \n",
- " 288.096693 | \n",
- " 8.103736e+04 | \n",
- " 2.144723e+10 | \n",
- " 2.438731e+12 | \n",
- " 2.238739e+13 | \n",
- " 559.909444 | \n",
- " 76.687998 | \n",
- " 23971.82300 | \n",
+ " 630 | \n",
+ " 1.304243e+19 | \n",
+ " 2019-04-24 00:09:20 | \n",
+ " 773.0 | \n",
+ " 2019-04-25 00:09:20 | \n",
+ " 678.0 | \n",
+ " 86399.0 | \n",
+ " 2.082015e+14 | \n",
+ " 3.366045e+10 | \n",
+ " 8.637690e+13 | \n",
+ " D92712B | \n",
" ... | \n",
- " 6.710569e+06 | \n",
- " 6.345423e+06 | \n",
- " 6.725218e+06 | \n",
- " 6.359490e+06 | \n",
- " 2.439675e+08 | \n",
- " 4.782700e+06 | \n",
- " 2.432050e+08 | \n",
- " 4.769004e+06 | \n",
- " 1.127635e+07 | \n",
- " 2.441421e+08 | \n",
+ " 20529706.0 | \n",
+ " 15820629.0 | \n",
+ " 7979963.0 | \n",
+ " 18816877.0 | \n",
+ " 690468982.0 | \n",
+ " 11557228.0 | \n",
+ " 41436710.0 | \n",
+ " 14920555.0 | \n",
+ " 64954877.0 | \n",
+ " 727897527.0 | \n",
" \n",
" \n",
- " | min | \n",
- " 6.917538e+18 | \n",
- " 0.000000 | \n",
- " 0.000000 | \n",
- " 7.142000e+03 | \n",
- " 2.040471e+14 | \n",
- " 3.360100e+10 | \n",
- " 4.400152e+11 | \n",
- " 0.000000 | \n",
- " 0.000000 | \n",
- " 0.00000 | \n",
+ " 651 | \n",
+ " 7.277826e+18 | \n",
+ " 2019-04-24 00:11:12 | \n",
+ " 540.0 | \n",
+ " 2019-04-25 00:11:12 | \n",
+ " 513.0 | \n",
+ " 86399.0 | \n",
+ " 2.082017e+14 | \n",
+ " 3.365830e+10 | \n",
+ " 3.520271e+13 | \n",
+ " K14666C | \n",
" ... | \n",
- " 5.300000e+01 | \n",
- " 1.050000e+02 | \n",
- " 4.200000e+01 | \n",
- " 3.500000e+01 | \n",
- " 2.516000e+03 | \n",
- " 5.900000e+01 | \n",
- " 3.290000e+03 | \n",
- " 1.480000e+02 | \n",
- " 2.866892e+06 | \n",
- " 7.114041e+06 | \n",
+ " 2504633.0 | \n",
+ " 3938252.0 | \n",
+ " 562323.0 | \n",
+ " 9262751.0 | \n",
+ " 614815032.0 | \n",
+ " 15277882.0 | \n",
+ " 235703378.0 | \n",
+ " 9787240.0 | \n",
+ " 42450423.0 | \n",
+ " 632356629.0 | \n",
" \n",
" \n",
- " | 25% | \n",
- " 7.349883e+18 | \n",
- " 250.000000 | \n",
- " 251.000000 | \n",
- " 5.744200e+04 | \n",
- " 2.082014e+14 | \n",
- " 3.365151e+10 | \n",
- " 3.546261e+13 | \n",
- " 35.000000 | \n",
- " 3.000000 | \n",
- " 43.00000 | \n",
+ " ... | \n",
" ... | \n",
- " 5.833501e+06 | \n",
- " 5.517965e+06 | \n",
- " 5.777156e+06 | \n",
- " 5.475981e+06 | \n",
- " 2.104733e+08 | \n",
- " 4.128476e+06 | \n",
- " 2.101869e+08 | \n",
- " 4.145943e+06 | \n",
- " 3.322203e+07 | \n",
- " 2.431072e+08 | \n",
- " \n",
- " \n",
- " | 50% | \n",
- " 7.349883e+18 | \n",
- " 499.000000 | \n",
- " 500.000000 | \n",
- " 8.639900e+04 | \n",
- " 2.082015e+14 | \n",
- " 3.366371e+10 | \n",
- " 3.572201e+13 | \n",
- " 45.000000 | \n",
- " 5.000000 | \n",
- " 63.00000 | \n",
" ... | \n",
- " 1.161602e+07 | \n",
- " 1.101345e+07 | \n",
- " 1.164222e+07 | \n",
- " 1.099638e+07 | \n",
- " 4.234081e+08 | \n",
- " 8.291208e+06 | \n",
- " 4.218030e+08 | \n",
- " 8.267071e+06 | \n",
- " 4.114331e+07 | \n",
- " 4.558411e+08 | \n",
- " \n",
- " \n",
- " | 75% | \n",
- " 1.304243e+19 | \n",
- " 749.000000 | \n",
- " 750.000000 | \n",
- " 1.324300e+05 | \n",
- " 2.082018e+14 | \n",
- " 3.368307e+10 | \n",
- " 8.611970e+13 | \n",
- " 62.000000 | \n",
- " 11.000000 | \n",
- " 19710.00000 | \n",
" ... | \n",
- " 1.744852e+07 | \n",
- " 1.651556e+07 | \n",
- " 1.747048e+07 | \n",
- " 1.650727e+07 | \n",
- " 6.331742e+08 | \n",
- " 1.243162e+07 | \n",
- " 6.316918e+08 | \n",
- " 1.238415e+07 | \n",
- " 4.903424e+07 | \n",
- " 6.657051e+08 | \n",
- " \n",
- " \n",
- " | max | \n",
- " 1.318654e+19 | \n",
- " 999.000000 | \n",
- " 999.000000 | \n",
- " 1.859336e+06 | \n",
- " 2.140743e+14 | \n",
- " 8.823971e+14 | \n",
- " 9.900120e+13 | \n",
- " 96923.000000 | \n",
- " 7120.000000 | \n",
- " 378160.00000 | \n",
" ... | \n",
- " 2.325910e+07 | \n",
- " 2.201196e+07 | \n",
- " 2.325919e+07 | \n",
- " 2.201196e+07 | \n",
- " 8.434419e+08 | \n",
- " 1.655879e+07 | \n",
- " 8.434425e+08 | \n",
- " 1.655882e+07 | \n",
- " 7.833131e+07 | \n",
- " 9.029696e+08 | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " ... | \n",
+ " \n",
+ " \n",
+ " | 148359 | \n",
+ " 1.304243e+19 | \n",
+ " 2019-04-29 07:08:38 | \n",
+ " 248.0 | \n",
+ " 2019-04-30 07:08:38 | \n",
+ " 208.0 | \n",
+ " 86399.0 | \n",
+ " 2.082014e+14 | \n",
+ " 3.366916e+10 | \n",
+ " 8.637690e+13 | \n",
+ " T85713B | \n",
+ " ... | \n",
+ " 4679867.0 | \n",
+ " 20549288.0 | \n",
+ " 7150333.0 | \n",
+ " 19695300.0 | \n",
+ " 397284051.0 | \n",
+ " 4579066.0 | \n",
+ " 329851993.0 | \n",
+ " 11505030.0 | \n",
+ " 59572655.0 | \n",
+ " 419875450.0 | \n",
+ " \n",
+ " \n",
+ " | 148408 | \n",
+ " 1.304243e+19 | \n",
+ " 2019-04-29 07:09:08 | \n",
+ " 731.0 | \n",
+ " 2019-04-30 07:09:08 | \n",
+ " 745.0 | \n",
+ " 86400.0 | \n",
+ " 2.082017e+14 | \n",
+ " 3.366057e+10 | \n",
+ " 8.637690e+13 | \n",
+ " T85784A | \n",
+ " ... | \n",
+ " 12264941.0 | \n",
+ " 1357151.0 | \n",
+ " 21986225.0 | \n",
+ " 21997101.0 | \n",
+ " 529842696.0 | \n",
+ " 4755600.0 | \n",
+ " 17710673.0 | \n",
+ " 16106399.0 | \n",
+ " 44841066.0 | \n",
+ " 579178272.0 | \n",
+ " \n",
+ " \n",
+ " | 148991 | \n",
+ " 1.304243e+19 | \n",
+ " 2019-04-29 07:16:56 | \n",
+ " 675.0 | \n",
+ " 2019-04-30 07:16:56 | \n",
+ " 689.0 | \n",
+ " 86400.0 | \n",
+ " 2.082018e+14 | \n",
+ " 3.366725e+10 | \n",
+ " 8.637690e+13 | \n",
+ " D85941B | \n",
+ " ... | \n",
+ " 16205072.0 | \n",
+ " 20135265.0 | \n",
+ " 4347335.0 | \n",
+ " 13449484.0 | \n",
+ " 67039315.0 | \n",
+ " 10111864.0 | \n",
+ " 772022712.0 | \n",
+ " 377322.0 | \n",
+ " 45124501.0 | \n",
+ " 90680481.0 | \n",
+ " \n",
+ " \n",
+ " | 148995 | \n",
+ " 7.277826e+18 | \n",
+ " 2019-04-29 07:16:57 | \n",
+ " 452.0 | \n",
+ " 2019-04-30 07:16:57 | \n",
+ " 469.0 | \n",
+ " 86400.0 | \n",
+ " 2.082017e+14 | \n",
+ " 3.376216e+10 | \n",
+ " 8.637690e+13 | \n",
+ " T78199C | \n",
+ " ... | \n",
+ " 16189977.0 | \n",
+ " 19719459.0 | \n",
+ " 18237162.0 | \n",
+ " 8180771.0 | \n",
+ " 460606860.0 | \n",
+ " 11194362.0 | \n",
+ " 330556976.0 | \n",
+ " 2329454.0 | \n",
+ " 46062056.0 | \n",
+ " 503379057.0 | \n",
+ " \n",
+ " \n",
+ " | 149011 | \n",
+ " 1.304243e+19 | \n",
+ " 2019-04-29 07:17:18 | \n",
+ " 752.0 | \n",
+ " 2019-04-30 07:17:18 | \n",
+ " 596.0 | \n",
+ " 86399.0 | \n",
+ " 2.082018e+14 | \n",
+ " 3.369922e+10 | \n",
+ " 8.637690e+13 | \n",
+ " D93141C | \n",
+ " ... | \n",
+ " 11016096.0 | \n",
+ " 2003353.0 | \n",
+ " 3634255.0 | \n",
+ " 13541351.0 | \n",
+ " 602952846.0 | \n",
+ " 14776509.0 | \n",
+ " 238239601.0 | \n",
+ " 5234383.0 | \n",
+ " 37457488.0 | \n",
+ " 626691030.0 | \n",
" \n",
" \n",
"\n",
- "8 rows × 40 columns \n",
+ "565 rows × 55 columns \n",
""
],
"text/plain": [
- " bearer_id start_ms end_ms dur._(ms) imsi \\\n",
- "count 1.500010e+05 150001.000000 150001.000000 1.500010e+05 1.500010e+05 \n",
- "mean 1.012045e+19 499.188199 498.800888 1.046084e+05 2.082016e+14 \n",
- "std 2.892438e+18 288.610872 288.096693 8.103736e+04 2.144723e+10 \n",
- "min 6.917538e+18 0.000000 0.000000 7.142000e+03 2.040471e+14 \n",
- "25% 7.349883e+18 250.000000 251.000000 5.744200e+04 2.082014e+14 \n",
- "50% 7.349883e+18 499.000000 500.000000 8.639900e+04 2.082015e+14 \n",
- "75% 1.304243e+19 749.000000 750.000000 1.324300e+05 2.082018e+14 \n",
- "max 1.318654e+19 999.000000 999.000000 1.859336e+06 2.140743e+14 \n",
+ " bearer_id start start_ms end \\\n",
+ "38 7.277826e+18 2019-04-18 15:40:37 982.0 2019-04-25 15:40:38 \n",
+ "535 7.277826e+18 2019-04-23 23:45:02 419.0 2019-04-24 23:45:02 \n",
+ "554 1.304243e+19 2019-04-23 23:56:25 766.0 2019-04-24 23:56:26 \n",
+ "630 1.304243e+19 2019-04-24 00:09:20 773.0 2019-04-25 00:09:20 \n",
+ "651 7.277826e+18 2019-04-24 00:11:12 540.0 2019-04-25 00:11:12 \n",
+ "... ... ... ... ... \n",
+ "148359 1.304243e+19 2019-04-29 07:08:38 248.0 2019-04-30 07:08:38 \n",
+ "148408 1.304243e+19 2019-04-29 07:09:08 731.0 2019-04-30 07:09:08 \n",
+ "148991 1.304243e+19 2019-04-29 07:16:56 675.0 2019-04-30 07:16:56 \n",
+ "148995 7.277826e+18 2019-04-29 07:16:57 452.0 2019-04-30 07:16:57 \n",
+ "149011 1.304243e+19 2019-04-29 07:17:18 752.0 2019-04-30 07:17:18 \n",
"\n",
- " msisdn/number imei avg_rtt_dl_(ms) avg_rtt_ul_(ms) \\\n",
- "count 1.500010e+05 1.500010e+05 150001.000000 150001.000000 \n",
- "mean 4.182441e+10 4.842592e+13 97.774455 15.315031 \n",
- "std 2.438731e+12 2.238739e+13 559.909444 76.687998 \n",
- "min 3.360100e+10 4.400152e+11 0.000000 0.000000 \n",
- "25% 3.365151e+10 3.546261e+13 35.000000 3.000000 \n",
- "50% 3.366371e+10 3.572201e+13 45.000000 5.000000 \n",
- "75% 3.368307e+10 8.611970e+13 62.000000 11.000000 \n",
- "max 8.823971e+14 9.900120e+13 96923.000000 7120.000000 \n",
+ " end_ms dur._(ms) imsi msisdn/number imei \\\n",
+ "38 33.0 604800.0 2.082095e+14 3.376394e+10 8.616400e+13 \n",
+ "535 313.0 86399.0 2.082017e+14 3.366726e+10 8.637690e+13 \n",
+ "554 385.0 86400.0 2.082017e+14 3.366344e+10 8.637690e+13 \n",
+ "630 678.0 86399.0 2.082015e+14 3.366045e+10 8.637690e+13 \n",
+ "651 513.0 86399.0 2.082017e+14 3.365830e+10 3.520271e+13 \n",
+ "... ... ... ... ... ... \n",
+ "148359 208.0 86399.0 2.082014e+14 3.366916e+10 8.637690e+13 \n",
+ "148408 745.0 86400.0 2.082017e+14 3.366057e+10 8.637690e+13 \n",
+ "148991 689.0 86400.0 2.082018e+14 3.366725e+10 8.637690e+13 \n",
+ "148995 469.0 86400.0 2.082017e+14 3.376216e+10 8.637690e+13 \n",
+ "149011 596.0 86399.0 2.082018e+14 3.369922e+10 8.637690e+13 \n",
"\n",
- " avg_bearer_tp_dl_(kbps) ... youtube_dl_(bytes) youtube_ul_(bytes) \\\n",
- "count 150001.00000 ... 1.500010e+05 1.500010e+05 \n",
- "mean 13299.95768 ... 1.163407e+07 1.100941e+07 \n",
- "std 23971.82300 ... 6.710569e+06 6.345423e+06 \n",
- "min 0.00000 ... 5.300000e+01 1.050000e+02 \n",
- "25% 43.00000 ... 5.833501e+06 5.517965e+06 \n",
- "50% 63.00000 ... 1.161602e+07 1.101345e+07 \n",
- "75% 19710.00000 ... 1.744852e+07 1.651556e+07 \n",
- "max 378160.00000 ... 2.325910e+07 2.201196e+07 \n",
+ " last_location_name ... youtube_dl_(bytes) youtube_ul_(bytes) \\\n",
+ "38 T86868A ... 21679309.0 16508079.0 \n",
+ "535 D84798A ... 15444612.0 6669529.0 \n",
+ "554 D83916A ... 16220887.0 15928572.0 \n",
+ "630 D92712B ... 20529706.0 15820629.0 \n",
+ "651 K14666C ... 2504633.0 3938252.0 \n",
+ "... ... ... ... ... \n",
+ "148359 T85713B ... 4679867.0 20549288.0 \n",
+ "148408 T85784A ... 12264941.0 1357151.0 \n",
+ "148991 D85941B ... 16205072.0 20135265.0 \n",
+ "148995 T78199C ... 16189977.0 19719459.0 \n",
+ "149011 D93141C ... 11016096.0 2003353.0 \n",
"\n",
- " netflix_dl_(bytes) netflix_ul_(bytes) gaming_dl_(bytes) \\\n",
- "count 1.500010e+05 1.500010e+05 1.500010e+05 \n",
- "mean 1.162685e+07 1.100175e+07 4.220447e+08 \n",
- "std 6.725218e+06 6.359490e+06 2.439675e+08 \n",
- "min 4.200000e+01 3.500000e+01 2.516000e+03 \n",
- "25% 5.777156e+06 5.475981e+06 2.104733e+08 \n",
- "50% 1.164222e+07 1.099638e+07 4.234081e+08 \n",
- "75% 1.747048e+07 1.650727e+07 6.331742e+08 \n",
- "max 2.325919e+07 2.201196e+07 8.434419e+08 \n",
+ " netflix_dl_(bytes) netflix_ul_(bytes) gaming_dl_(bytes) \\\n",
+ "38 23243098.0 6438422.0 213008522.0 \n",
+ "535 6791490.0 13137110.0 202645712.0 \n",
+ "554 10939175.0 4525125.0 603881110.0 \n",
+ "630 7979963.0 18816877.0 690468982.0 \n",
+ "651 562323.0 9262751.0 614815032.0 \n",
+ "... ... ... ... \n",
+ "148359 7150333.0 19695300.0 397284051.0 \n",
+ "148408 21986225.0 21997101.0 529842696.0 \n",
+ "148991 4347335.0 13449484.0 67039315.0 \n",
+ "148995 18237162.0 8180771.0 460606860.0 \n",
+ "149011 3634255.0 13541351.0 602952846.0 \n",
"\n",
- " gaming_ul_(bytes) other_dl_(bytes) other_ul_(bytes) \\\n",
- "count 1.500010e+05 1.500010e+05 1.500010e+05 \n",
- "mean 8.288398e+06 4.211005e+08 8.264799e+06 \n",
- "std 4.782700e+06 2.432050e+08 4.769004e+06 \n",
- "min 5.900000e+01 3.290000e+03 1.480000e+02 \n",
- "25% 4.128476e+06 2.101869e+08 4.145943e+06 \n",
- "50% 8.291208e+06 4.218030e+08 8.267071e+06 \n",
- "75% 1.243162e+07 6.316918e+08 1.238415e+07 \n",
- "max 1.655879e+07 8.434425e+08 1.655882e+07 \n",
+ " gaming_ul_(bytes) other_dl_(bytes) other_ul_(bytes) \\\n",
+ "38 11503163.0 295325210.0 12082520.0 \n",
+ "535 4345867.0 41485262.0 9191686.0 \n",
+ "554 4134867.0 228539389.0 4085765.0 \n",
+ "630 11557228.0 41436710.0 14920555.0 \n",
+ "651 15277882.0 235703378.0 9787240.0 \n",
+ "... ... ... ... \n",
+ "148359 4579066.0 329851993.0 11505030.0 \n",
+ "148408 4755600.0 17710673.0 16106399.0 \n",
+ "148991 10111864.0 772022712.0 377322.0 \n",
+ "148995 11194362.0 330556976.0 2329454.0 \n",
+ "149011 14776509.0 238239601.0 5234383.0 \n",
"\n",
- " total_ul_(bytes) total_dl_(bytes) \n",
- "count 1.500010e+05 1.500010e+05 \n",
- "mean 4.112121e+07 4.546434e+08 \n",
- "std 1.127635e+07 2.441421e+08 \n",
- "min 2.866892e+06 7.114041e+06 \n",
- "25% 3.322203e+07 2.431072e+08 \n",
- "50% 4.114331e+07 4.558411e+08 \n",
- "75% 4.903424e+07 6.657051e+08 \n",
- "max 7.833131e+07 9.029696e+08 \n",
+ " total_ul_(bytes) total_dl_(bytes) \n",
+ "38 49727524.0 267689014.0 \n",
+ "535 36072646.0 236941106.0 \n",
+ "554 29908196.0 642815619.0 \n",
+ "630 64954877.0 727897527.0 \n",
+ "651 42450423.0 632356629.0 \n",
+ "... ... ... \n",
+ "148359 59572655.0 419875450.0 \n",
+ "148408 44841066.0 579178272.0 \n",
+ "148991 45124501.0 90680481.0 \n",
+ "148995 46062056.0 503379057.0 \n",
+ "149011 37457488.0 626691030.0 \n",
"\n",
- "[8 rows x 40 columns]"
+ "[565 rows x 55 columns]"
]
},
- "execution_count": 10,
"metadata": {},
- "output_type": "execute_result"
+ "output_type": "display_data"
}
],
"source": [
- "df.describe()"
+ "display(outlier.outlier_overview(df, 'activity_duration_ul_(ms)'))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "565 rows with outliers"
]
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 19,
"metadata": {},
"outputs": [
{
@@ -948,2094 +1003,730 @@
" \n",
" \n",
" \n",
- " | 4419 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-24 08:00:27 | \n",
- " 693.0 | \n",
- " 2019-04-25 00:25:03 | \n",
- " 243.0 | \n",
- " 59075.0 | \n",
+ " 563 | \n",
+ " 1.304243e+19 | \n",
+ " 2019-04-24 00:00:11 | \n",
+ " 698.0 | \n",
+ " 2019-04-25 00:00:15 | \n",
+ " 236.0 | \n",
+ " 86403.0 | \n",
" 2.082015e+14 | \n",
- " 3.365009e+10 | \n",
- " 3.526021e+13 | \n",
- " D74540B | \n",
- " ... | \n",
- " 4557312.0 | \n",
- " 91712.0 | \n",
- " 12259837.0 | \n",
- " 404950.0 | \n",
- " 557803005.0 | \n",
- " 3950587.0 | \n",
- " 648311234.0 | \n",
- " 400751.0 | \n",
- " 6243519.0 | \n",
- " 584476427.0 | \n",
- " \n",
- " \n",
- " | 5966 | \n",
+ " 3.365829e+10 | \n",
+ " 3.592631e+13 | \n",
+ " L42997A | \n",
+ " ... | \n",
+ " 14167452.0 | \n",
+ " 16687696.0 | \n",
+ " 20674616.0 | \n",
+ " 15219817.0 | \n",
+ " 667514871.0 | \n",
+ " 13291774.0 | \n",
+ " 342138442.0 | \n",
+ " 13294433.0 | \n",
+ " 62025879.0 | \n",
+ " 712700408.0 | \n",
+ " \n",
+ " \n",
+ " | 783 | \n",
" 1.304243e+19 | \n",
- " 2019-04-24 11:06:41 | \n",
- " 11.0 | \n",
- " 2019-04-25 01:18:42 | \n",
- " 881.0 | \n",
- " 51121.0 | \n",
- " 2.082018e+14 | \n",
- " 3.363890e+10 | \n",
- " 3.591571e+13 | \n",
- " D88443C | \n",
- " ... | \n",
- " 15767234.0 | \n",
- " 1148916.0 | \n",
- " 3886610.0 | \n",
- " 3495866.0 | \n",
- " 298512002.0 | \n",
- " 313066.0 | \n",
- " 796845662.0 | \n",
- " 22444.0 | \n",
- " 7248354.0 | \n",
- " 326923653.0 | \n",
- " \n",
- " \n",
- " | 13505 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-24 18:19:48 | \n",
- " 503.0 | \n",
- " 2019-04-25 00:39:04 | \n",
- " 703.0 | \n",
- " 22756.0 | \n",
- " 2.082003e+14 | \n",
- " 3.362051e+10 | \n",
- " 3.569581e+13 | \n",
- " T12736C | \n",
- " ... | \n",
- " 12429341.0 | \n",
- " 660979.0 | \n",
- " 10982987.0 | \n",
- " 510541.0 | \n",
- " 597148476.0 | \n",
- " 124554.0 | \n",
- " 385902024.0 | \n",
- " 2101782.0 | \n",
- " 4469240.0 | \n",
- " 629949264.0 | \n",
- " \n",
- " \n",
- " | 15350 | \n",
+ " 2019-04-24 00:22:41 | \n",
+ " 489.0 | \n",
+ " 2019-04-25 00:22:41 | \n",
+ " 461.0 | \n",
+ " 86399.0 | \n",
+ " 2.082014e+14 | \n",
+ " 3.366027e+10 | \n",
+ " 8.654080e+13 | \n",
+ " T88349B | \n",
+ " ... | \n",
+ " 787496.0 | \n",
+ " 15618631.0 | \n",
+ " 12824807.0 | \n",
+ " 10070595.0 | \n",
+ " 832811516.0 | \n",
+ " 3650083.0 | \n",
+ " 405294647.0 | \n",
+ " 6010671.0 | \n",
+ " 37234541.0 | \n",
+ " 858057935.0 | \n",
+ " \n",
+ " \n",
+ " | 815 | \n",
" 1.304243e+19 | \n",
- " 2019-04-24 18:53:45 | \n",
- " 213.0 | \n",
- " 2019-04-25 00:37:57 | \n",
- " 769.0 | \n",
- " 20652.0 | \n",
- " 2.082015e+14 | \n",
- " 3.378231e+10 | \n",
- " 3.566301e+13 | \n",
- " D92969C | \n",
- " ... | \n",
- " 13285220.0 | \n",
- " 20988305.0 | \n",
- " 23231657.0 | \n",
- " 21650146.0 | \n",
- " 350061114.0 | \n",
- " 15792667.0 | \n",
- " 773955089.0 | \n",
- " 15880966.0 | \n",
- " 78331311.0 | \n",
- " 390390788.0 | \n",
- " \n",
- " \n",
- " | 15901 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-24 19:03:13 | \n",
- " 939.0 | \n",
- " 2019-04-25 02:59:12 | \n",
- " 441.0 | \n",
- " 28558.0 | \n",
+ " 2019-04-24 00:26:09 | \n",
+ " 254.0 | \n",
+ " 2019-04-25 00:26:09 | \n",
+ " 177.0 | \n",
+ " 86399.0 | \n",
+ " 2.082010e+14 | \n",
+ " 3.366228e+10 | \n",
+ " 8.654080e+13 | \n",
+ " L85966B | \n",
+ " ... | \n",
+ " 14040294.0 | \n",
+ " 2757831.0 | \n",
+ " 17429785.0 | \n",
+ " 15843551.0 | \n",
+ " 41103853.0 | \n",
+ " 2635642.0 | \n",
+ " 672644941.0 | \n",
+ " 609546.0 | \n",
+ " 26706635.0 | \n",
+ " 81434881.0 | \n",
+ " \n",
+ " \n",
+ " | 1236 | \n",
+ " 1.304243e+19 | \n",
+ " 2019-04-24 01:15:03 | \n",
+ " 318.0 | \n",
+ " 2019-04-25 01:15:55 | \n",
+ " 734.0 | \n",
+ " 86452.0 | \n",
" 2.082017e+14 | \n",
- " 3.366347e+10 | \n",
- " 3.585631e+13 | \n",
- " D92799A | \n",
- " ... | \n",
- " 22017697.0 | \n",
- " 20590565.0 | \n",
- " 13742934.0 | \n",
- " 21948653.0 | \n",
- " 800409956.0 | \n",
- " 15587551.0 | \n",
- " 706266755.0 | \n",
- " 15354227.0 | \n",
- " 76732208.0 | \n",
- " 844150389.0 | \n",
- " \n",
- " \n",
- " | 20725 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-24 20:12:55 | \n",
- " 565.0 | \n",
- " 2019-04-25 00:07:33 | \n",
- " 672.0 | \n",
- " 14078.0 | \n",
- " 2.082021e+14 | \n",
- " 3.369956e+10 | \n",
- " 3.577771e+13 | \n",
- " L11847A | \n",
- " ... | \n",
- " 1231799.0 | \n",
- " 21701832.0 | \n",
- " 16582494.0 | \n",
- " 19337726.0 | \n",
- " 160430857.0 | \n",
- " 14869663.0 | \n",
- " 388880674.0 | \n",
- " 15211788.0 | \n",
- " 75365046.0 | \n",
- " 186303124.0 | \n",
- " \n",
- " \n",
- " | 22436 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-24 20:34:46 | \n",
- " 297.0 | \n",
- " 2019-04-25 03:00:58 | \n",
- " 781.0 | \n",
- " 23172.0 | \n",
- " 2.082019e+14 | \n",
- " 3.361284e+10 | \n",
- " 3.553951e+13 | \n",
- " D50014C | \n",
- " ... | \n",
- " 3838943.0 | \n",
- " 266297.0 | \n",
- " 17217180.0 | \n",
- " 1124564.0 | \n",
- " 800071175.0 | \n",
- " 447425.0 | \n",
- " 625768055.0 | \n",
- " 2169741.0 | \n",
- " 4658336.0 | \n",
- " 838044368.0 | \n",
- " \n",
- " \n",
- " | 26313 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-23 08:48:32 | \n",
- " 528.0 | \n",
- " 2019-04-26 07:01:08 | \n",
- " 862.0 | \n",
- " 252756.0 | \n",
- " 2.082022e+14 | \n",
- " 3.361257e+10 | \n",
- " 3.568081e+13 | \n",
- " D62041C | \n",
+ " 3.376314e+10 | \n",
+ " 8.637690e+13 | \n",
+ " T88449B | \n",
" ... | \n",
- " 12814317.0 | \n",
- " 726861.0 | \n",
- " 16575342.0 | \n",
- " 422195.0 | \n",
- " 411769456.0 | \n",
- " 1778609.0 | \n",
- " 117400153.0 | \n",
- " 1401294.0 | \n",
- " 6843180.0 | \n",
- " 454620096.0 | \n",
+ " 4952237.0 | \n",
+ " 8113457.0 | \n",
+ " 22300544.0 | \n",
+ " 3575703.0 | \n",
+ " 231968638.0 | \n",
+ " 6783826.0 | \n",
+ " 672789523.0 | \n",
+ " 12621381.0 | \n",
+ " 35045982.0 | \n",
+ " 267636706.0 | \n",
" \n",
" \n",
- " | 26389 | \n",
+ " 1369 | \n",
" 7.277826e+18 | \n",
- " 2019-04-23 09:12:27 | \n",
- " 842.0 | \n",
- " 2019-04-26 08:48:31 | \n",
- " 311.0 | \n",
- " 257763.0 | \n",
+ " 2019-04-24 01:26:14 | \n",
+ " 132.0 | \n",
+ " 2019-04-25 01:26:14 | \n",
+ " 44.0 | \n",
+ " 86399.0 | \n",
" 2.082018e+14 | \n",
- " 3.366943e+10 | \n",
- " 3.517151e+13 | \n",
- " D79079B | \n",
- " ... | \n",
- " 21406612.0 | \n",
- " 1183644.0 | \n",
- " 7796645.0 | \n",
- " 696201.0 | \n",
- " 391946002.0 | \n",
- " 2436772.0 | \n",
- " 394264579.0 | \n",
- " 342643.0 | \n",
- " 5461287.0 | \n",
- " 427447047.0 | \n",
- " \n",
- " \n",
- " | 29219 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-24 09:48:26 | \n",
- " 966.0 | \n",
- " 2019-04-26 08:14:29 | \n",
- " 879.0 | \n",
- " 167162.0 | \n",
- " 2.082009e+14 | \n",
- " 3.365830e+10 | \n",
- " 3.518231e+13 | \n",
- " D42685C | \n",
+ " 3.366845e+10 | \n",
+ " 8.637690e+13 | \n",
+ " T21355A | \n",
" ... | \n",
- " 21762255.0 | \n",
- " 20619678.0 | \n",
- " 5230817.0 | \n",
- " 21299696.0 | \n",
- " 314600331.0 | \n",
- " 14142706.0 | \n",
- " 560887770.0 | \n",
- " 15625409.0 | \n",
- " 76106710.0 | \n",
- " 352087447.0 | \n",
+ " 17235232.0 | \n",
+ " 12879086.0 | \n",
+ " 17019426.0 | \n",
+ " 5646999.0 | \n",
+ " 267351464.0 | \n",
+ " 14525412.0 | \n",
+ " 740161901.0 | \n",
+ " 9615407.0 | \n",
+ " 43983168.0 | \n",
+ " 310983536.0 | \n",
" \n",
" \n",
- " | 29755 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-24 10:36:47 | \n",
- " 847.0 | \n",
- " 2019-04-26 08:54:10 | \n",
- " 958.0 | \n",
- " 166643.0 | \n",
- " 2.082019e+14 | \n",
- " 3.378319e+10 | \n",
- " 3.587931e+13 | \n",
- " T41312B | \n",
+ " ... | \n",
" ... | \n",
- " 20899209.0 | \n",
- " 20137609.0 | \n",
- " 866000.0 | \n",
- " 21474304.0 | \n",
- " 317152462.0 | \n",
- " 14155529.0 | \n",
- " 831365304.0 | \n",
- " 16309970.0 | \n",
- " 75648001.0 | \n",
- " 353354016.0 | \n",
- " \n",
- " \n",
- " | 30409 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-24 12:23:51 | \n",
- " 728.0 | \n",
- " 2019-04-26 11:01:18 | \n",
- " 625.0 | \n",
- " 167846.0 | \n",
- " 2.082018e+14 | \n",
- " 3.376359e+10 | \n",
- " 3.530271e+13 | \n",
- " D14160C | \n",
" ... | \n",
- " 4345527.0 | \n",
- " 17317614.0 | \n",
- " 20656042.0 | \n",
- " 21822819.0 | \n",
- " 273329633.0 | \n",
- " 15726407.0 | \n",
- " 623166944.0 | \n",
- " 16528379.0 | \n",
- " 76160855.0 | \n",
- " 307128081.0 | \n",
- " \n",
- " \n",
- " | 34321 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-24 23:34:01 | \n",
- " 646.0 | \n",
- " 2019-04-26 15:47:02 | \n",
- " 804.0 | \n",
- " 144781.0 | \n",
- " 2.082015e+14 | \n",
- " 3.363730e+10 | \n",
- " 3.540711e+13 | \n",
- " D50543C | \n",
" ... | \n",
- " 3705321.0 | \n",
- " 21082120.0 | \n",
- " 14106171.0 | \n",
- " 19860922.0 | \n",
- " 230277632.0 | \n",
- " 13182794.0 | \n",
- " 668778449.0 | \n",
- " 16361931.0 | \n",
- " 75238657.0 | \n",
- " 253678982.0 | \n",
- " \n",
- " \n",
- " | 36355 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-25 01:42:02 | \n",
- " 317.0 | \n",
- " 2019-04-26 01:42:02 | \n",
- " 234.0 | \n",
- " 86399.0 | \n",
- " 2.082010e+14 | \n",
- " 3.366294e+10 | \n",
- " 8.637690e+13 | \n",
- " T89914A | \n",
" ... | \n",
- " 1799359.0 | \n",
- " 21413889.0 | \n",
- " 4691230.0 | \n",
- " 21559564.0 | \n",
- " 610997024.0 | \n",
- " 14386807.0 | \n",
- " 481947214.0 | \n",
- " 16116881.0 | \n",
- " 76607067.0 | \n",
- " 622140753.0 | \n",
- " \n",
- " \n",
- " | 36768 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-25 01:57:45 | \n",
- " 910.0 | \n",
- " 2019-04-26 01:57:45 | \n",
- " 851.0 | \n",
- " 86399.0 | \n",
- " 2.082014e+14 | \n",
- " 3.365912e+10 | \n",
- " 8.637690e+13 | \n",
- " T87796B | \n",
" ... | \n",
- " 5447497.0 | \n",
- " 691211.0 | \n",
- " 10152821.0 | \n",
- " 1685539.0 | \n",
- " 620688922.0 | \n",
- " 1306797.0 | \n",
- " 507337188.0 | \n",
- " 534689.0 | \n",
- " 6111724.0 | \n",
- " 642173199.0 | \n",
- " \n",
- " \n",
- " | 37423 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-25 02:21:10 | \n",
- " 225.0 | \n",
- " 2019-04-26 02:21:10 | \n",
- " 250.0 | \n",
- " 86400.0 | \n",
- " 2.082017e+14 | \n",
- " 3.376385e+10 | \n",
- " 8.637690e+13 | \n",
- " T29829B | \n",
" ... | \n",
- " 1979389.0 | \n",
- " 1462150.0 | \n",
- " 11084682.0 | \n",
- " 10597.0 | \n",
- " 552850637.0 | \n",
- " 3217653.0 | \n",
- " 196545118.0 | \n",
- " 1004464.0 | \n",
- " 7167136.0 | \n",
- " 569089914.0 | \n",
- " \n",
- " \n",
- " | 39511 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-25 03:29:42 | \n",
- " 972.0 | \n",
- " 2019-04-26 03:29:42 | \n",
- " 978.0 | \n",
- " 86400.0 | \n",
- " 2.082010e+14 | \n",
- " 3.369986e+10 | \n",
- " 8.637690e+13 | \n",
- " D31798A | \n",
" ... | \n",
- " 1672623.0 | \n",
- " 431605.0 | \n",
- " 4343053.0 | \n",
- " 1266277.0 | \n",
- " 557988574.0 | \n",
- " 1090701.0 | \n",
- " 301183835.0 | \n",
- " 160138.0 | \n",
- " 4661082.0 | \n",
- " 571958472.0 | \n",
- " \n",
- " \n",
- " | 41905 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-25 04:53:05 | \n",
- " 870.0 | \n",
- " 2019-04-26 04:53:05 | \n",
- " 807.0 | \n",
- " 86399.0 | \n",
- " 2.082014e+14 | \n",
- " 3.366769e+10 | \n",
- " 8.637690e+13 | \n",
- " T29714A | \n",
" ... | \n",
- " 19602718.0 | \n",
- " 21793981.0 | \n",
- " 15083051.0 | \n",
- " 21099178.0 | \n",
- " 371427543.0 | \n",
- " 15634417.0 | \n",
- " 292324811.0 | \n",
- " 15961972.0 | \n",
- " 76178342.0 | \n",
- " 417622623.0 | \n",
- " \n",
- " \n",
- " | 45104 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-25 06:45:28 | \n",
- " 835.0 | \n",
- " 2019-04-26 09:12:05 | \n",
- " 581.0 | \n",
- " 95196.0 | \n",
- " 2.082010e+14 | \n",
- " 3.365068e+10 | \n",
- " 8.683890e+13 | \n",
- " T83862B | \n",
" ... | \n",
- " 13242140.0 | \n",
- " 922340.0 | \n",
- " 6808243.0 | \n",
- " 2095080.0 | \n",
- " 331975562.0 | \n",
- " 2658529.0 | \n",
- " 693581945.0 | \n",
- " 273782.0 | \n",
- " 7011653.0 | \n",
- " 364687088.0 | \n",
- " \n",
- " \n",
- " | 51921 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-24 22:34:52 | \n",
- " 465.0 | \n",
- " 2019-04-27 18:28:30 | \n",
- " 80.0 | \n",
- " 244417.0 | \n",
- " 2.082019e+14 | \n",
- " 3.366114e+10 | \n",
- " 3.554221e+13 | \n",
- " T21829A | \n",
" ... | \n",
- " 6070587.0 | \n",
- " 1877744.0 | \n",
- " 17194395.0 | \n",
- " 150335.0 | \n",
- " 836899305.0 | \n",
- " 863086.0 | \n",
- " 827850449.0 | \n",
- " 1662487.0 | \n",
- " 7198501.0 | \n",
- " 870348251.0 | \n",
- " \n",
- " \n",
- " | 52132 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-25 04:14:03 | \n",
- " 376.0 | \n",
- " 2019-04-27 17:30:23 | \n",
- " 974.0 | \n",
- " 220580.0 | \n",
- " 2.082014e+14 | \n",
- " 3.367492e+10 | \n",
- " 8.652440e+13 | \n",
- " T11002B | \n",
" ... | \n",
- " 11302577.0 | \n",
- " 21501662.0 | \n",
- " 12156548.0 | \n",
- " 19682682.0 | \n",
- " 840912532.0 | \n",
- " 15082146.0 | \n",
- " 696269355.0 | \n",
- " 14698593.0 | \n",
- " 75112879.0 | \n",
- " 880871897.0 | \n",
- " \n",
- " \n",
- " | 53066 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-25 08:20:32 | \n",
- " 48.0 | \n",
- " 2019-04-27 08:47:20 | \n",
- " 930.0 | \n",
- " 174408.0 | \n",
- " 2.082019e+14 | \n",
- " 3.366261e+10 | \n",
- " 3.589521e+13 | \n",
- " T87810B | \n",
" ... | \n",
- " 22728180.0 | \n",
- " 21162822.0 | \n",
- " 18343666.0 | \n",
- " 20877773.0 | \n",
- " 2117561.0 | \n",
- " 14841553.0 | \n",
- " 447915158.0 | \n",
- " 14650100.0 | \n",
- " 75808098.0 | \n",
- " 59042083.0 | \n",
- " \n",
- " \n",
- " | 55665 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-25 16:03:18 | \n",
- " 727.0 | \n",
- " 2019-04-27 07:36:25 | \n",
- " 500.0 | \n",
- " 142386.0 | \n",
- " 2.082018e+14 | \n",
- " 3.376350e+10 | \n",
- " 3.536861e+13 | \n",
- " D50127C | \n",
" ... | \n",
- " 18166203.0 | \n",
- " 1747708.0 | \n",
- " 523391.0 | \n",
- " 437343.0 | \n",
- " 508615866.0 | \n",
- " 1918893.0 | \n",
- " 405215967.0 | \n",
- " 1152874.0 | \n",
- " 6762964.0 | \n",
- " 533376978.0 | \n",
- " \n",
- " \n",
- " | 55924 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-25 16:43:26 | \n",
- " 619.0 | \n",
- " 2019-04-27 16:01:33 | \n",
- " 365.0 | \n",
- " 170286.0 | \n",
- " 2.082021e+14 | \n",
- " 3.365901e+10 | \n",
- " 3.533301e+13 | \n",
- " D93483C | \n",
" ... | \n",
- " 13239486.0 | \n",
- " 1013527.0 | \n",
- " 3027604.0 | \n",
- " 1286830.0 | \n",
- " 662680677.0 | \n",
- " 371258.0 | \n",
- " 36984784.0 | \n",
- " 2872923.0 | \n",
- " 7258965.0 | \n",
- " 685418623.0 | \n",
- " \n",
- " \n",
- " | 65994 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-26 07:32:50 | \n",
- " 44.0 | \n",
- " 2019-04-27 09:40:33 | \n",
- " 608.0 | \n",
- " 94063.0 | \n",
- " 2.082014e+14 | \n",
- " 3.362162e+10 | \n",
- " 3.591441e+13 | \n",
- " T72365C | \n",
" ... | \n",
- " 109517.0 | \n",
- " 20630988.0 | \n",
- " 132198.0 | \n",
- " 21648599.0 | \n",
- " 817348789.0 | \n",
- " 14295487.0 | \n",
- " 438428921.0 | \n",
- " 15145339.0 | \n",
- " 75675867.0 | \n",
- " 820146774.0 | \n",
- " \n",
- " \n",
- " | 67489 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-26 07:45:36 | \n",
- " 486.0 | \n",
- " 2019-04-27 07:45:36 | \n",
- " 483.0 | \n",
- " 86399.0 | \n",
- " 2.082018e+14 | \n",
- " 3.365958e+10 | \n",
- " 8.637690e+13 | \n",
- " D89189B | \n",
" ... | \n",
- " 9454675.0 | \n",
- " 2145889.0 | \n",
- " 2884474.0 | \n",
- " 1757001.0 | \n",
- " 755942042.0 | \n",
- " 792953.0 | \n",
- " 418986222.0 | \n",
- " 391925.0 | \n",
- " 6150268.0 | \n",
- " 780687157.0 | \n",
- " \n",
- " \n",
- " | 76325 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-27 00:21:15 | \n",
- " 125.0 | \n",
- " 2019-04-28 00:21:05 | \n",
- " 456.0 | \n",
- " 86390.0 | \n",
- " 2.082003e+14 | \n",
- " 3.364709e+10 | \n",
- " 3.572891e+13 | \n",
- " D27389A | \n",
" ... | \n",
- " 9677558.0 | \n",
- " 20940254.0 | \n",
- " 13808364.0 | \n",
- " 20761208.0 | \n",
- " 44744669.0 | \n",
- " 15735898.0 | \n",
- " 282353222.0 | \n",
- " 16377689.0 | \n",
- " 76012662.0 | \n",
- " 80074706.0 | \n",
- " \n",
- " \n",
- " | 76564 | \n",
- " 6.917538e+18 | \n",
- " 2019-04-27 00:55:20 | \n",
- " 849.0 | \n",
- " 2019-04-28 00:55:12 | \n",
- " 125.0 | \n",
- " 86391.0 | \n",
- " 2.082010e+14 | \n",
- " 3.366189e+10 | \n",
- " 3.569901e+13 | \n",
- " U89655C | \n",
" ... | \n",
- " 14519043.0 | \n",
- " 451651.0 | \n",
- " 9107194.0 | \n",
- " 265037.0 | \n",
- " 149790579.0 | \n",
- " 1985982.0 | \n",
- " 295434009.0 | \n",
- " 2108989.0 | \n",
- " 5921981.0 | \n",
- " 178843933.0 | \n",
- " \n",
- " \n",
- " | 76583 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-27 00:59:09 | \n",
- " 58.0 | \n",
- " 2019-04-28 00:59:09 | \n",
- " 52.0 | \n",
- " 86399.0 | \n",
- " 2.082014e+14 | \n",
- " 3.361997e+10 | \n",
- " 8.662190e+13 | \n",
- " D10426B | \n",
" ... | \n",
- " 22719401.0 | \n",
- " 1130335.0 | \n",
- " 20495004.0 | \n",
- " 996089.0 | \n",
- " 22588294.0 | \n",
- " 279649.0 | \n",
- " 58189161.0 | \n",
- " 72908.0 | \n",
- " 5568418.0 | \n",
- " 79770986.0 | \n",
- " \n",
- " \n",
- " | 80771 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-27 08:36:14 | \n",
- " 629.0 | \n",
- " 2019-04-28 01:04:57 | \n",
- " 627.0 | \n",
- " 59322.0 | \n",
- " 2.082015e+14 | \n",
- " 3.364897e+10 | \n",
- " 3.576541e+13 | \n",
- " L10990C | \n",
" ... | \n",
- " 6558667.0 | \n",
- " 21327215.0 | \n",
- " 1555698.0 | \n",
- " 19611751.0 | \n",
- " 450587963.0 | \n",
- " 15989751.0 | \n",
- " 221289667.0 | \n",
- " 15787570.0 | \n",
- " 76902276.0 | \n",
- " 465637863.0 | \n",
- " \n",
- " \n",
- " | 83211 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-27 10:21:24 | \n",
- " 848.0 | \n",
- " 2019-04-28 00:16:03 | \n",
- " 223.0 | \n",
- " 50078.0 | \n",
- " 2.082019e+14 | \n",
- " 3.367284e+10 | \n",
- " 3.576311e+13 | \n",
- " D17511B | \n",
" ... | \n",
- " 1063201.0 | \n",
- " 20789736.0 | \n",
- " 20934470.0 | \n",
- " 21600102.0 | \n",
- " 672209315.0 | \n",
- " 14684008.0 | \n",
- " 291939818.0 | \n",
- " 15605684.0 | \n",
- " 77157382.0 | \n",
- " 700942074.0 | \n",
" \n",
" \n",
- " | 85120 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-27 11:21:23 | \n",
- " 584.0 | \n",
- " 2019-04-28 01:00:21 | \n",
- " 867.0 | \n",
- " 49138.0 | \n",
+ " 143416 | \n",
+ " 7.277826e+18 | \n",
+ " 2019-04-29 04:55:19 | \n",
+ " 60.0 | \n",
+ " 2019-04-30 04:55:19 | \n",
+ " 674.0 | \n",
+ " 86400.0 | \n",
" 2.082019e+14 | \n",
- " 3.366059e+10 | \n",
- " 3.590391e+13 | \n",
- " D79707C | \n",
+ " 3.365802e+10 | \n",
+ " 8.672620e+13 | \n",
+ " L10326C | \n",
+ " ... | \n",
+ " 19658514.0 | \n",
+ " 9696167.0 | \n",
+ " 10445046.0 | \n",
+ " 10645489.0 | \n",
+ " 69768358.0 | \n",
+ " 9369007.0 | \n",
+ " 422158065.0 | \n",
+ " 5331060.0 | \n",
+ " 39155404.0 | \n",
+ " 109745693.0 | \n",
+ " \n",
+ " \n",
+ " | 143597 | \n",
+ " 1.304243e+19 | \n",
+ " 2019-04-29 04:59:50 | \n",
+ " 318.0 | \n",
+ " 2019-04-30 04:59:50 | \n",
+ " 193.0 | \n",
+ " 86399.0 | \n",
+ " 2.082017e+14 | \n",
+ " 3.365927e+10 | \n",
+ " 8.637690e+13 | \n",
+ " T88844C | \n",
" ... | \n",
- " 3320044.0 | \n",
- " 295586.0 | \n",
- " 313477.0 | \n",
- " 859986.0 | \n",
- " 232510591.0 | \n",
- " 1981724.0 | \n",
- " 650229250.0 | \n",
- " 2508439.0 | \n",
- " 6900733.0 | \n",
- " 247863073.0 | \n",
+ " 3404332.0 | \n",
+ " 9622909.0 | \n",
+ " 10899189.0 | \n",
+ " 4644588.0 | \n",
+ " 314857668.0 | \n",
+ " 1998381.0 | \n",
+ " 183518923.0 | \n",
+ " 13099413.0 | \n",
+ " 32361826.0 | \n",
+ " 344894438.0 | \n",
" \n",
" \n",
- " | 86556 | \n",
+ " 143662 | \n",
" 7.277826e+18 | \n",
- " 2019-04-27 12:16:22 | \n",
- " 447.0 | \n",
- " 2019-04-28 05:13:54 | \n",
- " 425.0 | \n",
- " 61051.0 | \n",
- " 2.082015e+14 | \n",
- " 3.366155e+10 | \n",
- " 8.662480e+13 | \n",
- " T77686B | \n",
+ " 2019-04-29 05:01:09 | \n",
+ " 107.0 | \n",
+ " 2019-04-30 05:01:07 | \n",
+ " 948.0 | \n",
+ " 86398.0 | \n",
+ " 2.082010e+14 | \n",
+ " 3.369938e+10 | \n",
+ " 8.637690e+13 | \n",
+ " D93656A | \n",
" ... | \n",
- " 1325265.0 | \n",
- " 19722578.0 | \n",
- " 18670947.0 | \n",
- " 20364218.0 | \n",
- " 517792849.0 | \n",
- " 16429849.0 | \n",
- " 207690814.0 | \n",
- " 15129525.0 | \n",
- " 76339088.0 | \n",
- " 545163569.0 | \n",
+ " 1824702.0 | \n",
+ " 20827969.0 | \n",
+ " 220153.0 | \n",
+ " 8444865.0 | \n",
+ " 824128190.0 | \n",
+ " 4161163.0 | \n",
+ " 221240777.0 | \n",
+ " 12139630.0 | \n",
+ " 47152790.0 | \n",
+ " 834468459.0 | \n",
" \n",
" \n",
- " | 90000 | \n",
+ " 145427 | \n",
" 1.304243e+19 | \n",
- " 2019-04-27 14:14:38 | \n",
- " 265.0 | \n",
- " 2019-04-28 00:33:09 | \n",
- " 566.0 | \n",
- " 37111.0 | \n",
- " 2.082003e+14 | \n",
- " 3.366737e+10 | \n",
- " 3.543611e+13 | \n",
- " T72248C | \n",
- " ... | \n",
- " 7386594.0 | \n",
- " 746678.0 | \n",
- " 19765194.0 | \n",
- " 1793681.0 | \n",
- " 652969002.0 | \n",
- " 307815.0 | \n",
- " 225034616.0 | \n",
- " 3083488.0 | \n",
- " 7119319.0 | \n",
- " 693869533.0 | \n",
- " \n",
- " \n",
- " | 90370 | \n",
- " 6.917538e+18 | \n",
- " 2019-04-27 14:22:31 | \n",
- " 727.0 | \n",
- " 2019-04-28 06:22:31 | \n",
- " 675.0 | \n",
- " 57599.0 | \n",
- " 2.082015e+14 | \n",
- " 3.376042e+10 | \n",
- " 3.569771e+13 | \n",
- " G74073B | \n",
- " ... | \n",
- " 7638855.0 | \n",
- " 2446517.0 | \n",
- " 4935051.0 | \n",
- " 938399.0 | \n",
- " 344832862.0 | \n",
- " 2259559.0 | \n",
- " 379705049.0 | \n",
- " 81830.0 | \n",
- " 6078096.0 | \n",
- " 363751473.0 | \n",
- " \n",
- " \n",
- " | 94398 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-27 16:02:18 | \n",
- " 631.0 | \n",
- " 2019-04-28 00:30:33 | \n",
- " 450.0 | \n",
- " 30494.0 | \n",
+ " 2019-04-29 06:09:30 | \n",
+ " 700.0 | \n",
+ " 2019-04-30 06:09:31 | \n",
+ " 140.0 | \n",
+ " 86400.0 | \n",
" 2.082017e+14 | \n",
- " 3.362931e+10 | \n",
- " 3.548291e+13 | \n",
- " T85894A | \n",
+ " 3.366833e+10 | \n",
+ " 8.637690e+13 | \n",
+ " D88357A | \n",
" ... | \n",
- " 18898084.0 | \n",
- " 21496079.0 | \n",
- " 12651041.0 | \n",
- " 20241581.0 | \n",
- " 438852834.0 | \n",
- " 16159797.0 | \n",
- " 126291218.0 | \n",
- " 15668536.0 | \n",
- " 77458132.0 | \n",
- " 477823073.0 | \n",
+ " 20392237.0 | \n",
+ " 9395084.0 | \n",
+ " 4335545.0 | \n",
+ " 15007554.0 | \n",
+ " 24591692.0 | \n",
+ " 14249920.0 | \n",
+ " 136229675.0 | \n",
+ " 7042829.0 | \n",
+ " 46273702.0 | \n",
+ " 59930864.0 | \n",
" \n",
" \n",
- " | 96242 | \n",
+ " 147304 | \n",
" 1.304243e+19 | \n",
- " 2019-04-27 16:35:07 | \n",
- " 802.0 | \n",
- " 2019-04-27 23:25:27 | \n",
- " 997.0 | \n",
- " 24620.0 | \n",
- " 2.082015e+14 | \n",
- " 3.368391e+10 | \n",
- " 3.552331e+13 | \n",
- " 9164566995485180 | \n",
- " ... | \n",
- " 15001438.0 | \n",
- " 1531847.0 | \n",
- " 4052737.0 | \n",
- " 3024031.0 | \n",
- " 341070930.0 | \n",
- " 1065895.0 | \n",
- " 135046568.0 | \n",
- " 964344.0 | \n",
- " 7139912.0 | \n",
- " 374251050.0 | \n",
- " \n",
- " \n",
- " | 102830 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-26 19:59:00 | \n",
- " 379.0 | \n",
- " 2019-04-29 13:16:30 | \n",
- " 292.0 | \n",
- " 235049.0 | \n",
- " 2.082009e+14 | \n",
- " 3.365905e+10 | \n",
- " 3.591441e+13 | \n",
- " T10381B | \n",
- " ... | \n",
- " 791825.0 | \n",
- " 422205.0 | \n",
- " 5283196.0 | \n",
- " 1025760.0 | \n",
- " 41717494.0 | \n",
- " 1375358.0 | \n",
- " 31377531.0 | \n",
- " 918699.0 | \n",
- " 5276726.0 | \n",
- " 55757301.0 | \n",
- " \n",
- " \n",
- " | 108412 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-27 15:20:49 | \n",
- " 248.0 | \n",
- " 2019-04-29 08:14:03 | \n",
- " 875.0 | \n",
- " 147194.0 | \n",
- " 2.082010e+14 | \n",
- " 3.366708e+10 | \n",
- " 3.561341e+13 | \n",
- " D14322C | \n",
- " ... | \n",
- " 18784661.0 | \n",
- " 294283.0 | \n",
- " 21219098.0 | \n",
- " 2819248.0 | \n",
- " 266971391.0 | \n",
- " 478796.0 | \n",
- " 407859428.0 | \n",
- " 1483131.0 | \n",
- " 5974147.0 | \n",
- " 321306245.0 | \n",
- " \n",
- " \n",
- " | 114664 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-28 00:27:15 | \n",
- " 859.0 | \n",
- " 2019-04-29 07:33:28 | \n",
- " 895.0 | \n",
- " 111973.0 | \n",
- " 2.082010e+14 | \n",
- " 3.360781e+10 | \n",
- " 3.564571e+13 | \n",
- " T88982A | \n",
- " ... | \n",
- " 7877462.0 | \n",
- " 19075571.0 | \n",
- " 5910454.0 | \n",
- " 19379045.0 | \n",
- " 720042501.0 | \n",
- " 15819340.0 | \n",
- " 305009201.0 | \n",
- " 16551142.0 | \n",
- " 75788572.0 | \n",
- " 748942430.0 | \n",
- " \n",
- " \n",
- " | 114831 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-28 00:33:02 | \n",
- " 29.0 | \n",
- " 2019-04-29 08:21:12 | \n",
- " 592.0 | \n",
- " 114490.0 | \n",
- " 2.082019e+14 | \n",
- " 3.369815e+10 | \n",
- " 3.575751e+13 | \n",
- " T89146C | \n",
- " ... | \n",
- " 16232050.0 | \n",
- " 636385.0 | \n",
- " 9870521.0 | \n",
- " 417285.0 | \n",
- " 652577247.0 | \n",
- " 25882.0 | \n",
- " 467173189.0 | \n",
- " 434054.0 | \n",
- " 2866892.0 | \n",
- " 683088939.0 | \n",
- " \n",
- " \n",
- " | 116370 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-28 01:27:23 | \n",
- " 188.0 | \n",
- " 2019-04-29 00:18:08 | \n",
- " 955.0 | \n",
- " 82245.0 | \n",
- " 2.082015e+14 | \n",
- " 3.366468e+10 | \n",
- " 3.592811e+13 | \n",
- " D52917A | \n",
- " ... | \n",
- " 10081653.0 | \n",
- " 1982781.0 | \n",
- " 16571558.0 | \n",
- " 682529.0 | \n",
- " 512920823.0 | \n",
- " 190075.0 | \n",
- " 655134655.0 | \n",
- " 710952.0 | \n",
- " 4338786.0 | \n",
- " 552837143.0 | \n",
- " \n",
- " \n",
- " | 117030 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-28 01:49:37 | \n",
- " 884.0 | \n",
- " 2019-04-29 01:49:37 | \n",
- " 773.0 | \n",
- " 86399.0 | \n",
- " 2.082014e+14 | \n",
- " 3.365904e+10 | \n",
- " 8.637690e+13 | \n",
- " L77140A | \n",
- " ... | \n",
- " 23225536.0 | \n",
- " 20187059.0 | \n",
- " 19040736.0 | \n",
- " 20564925.0 | \n",
- " 51755481.0 | \n",
- " 15696855.0 | \n",
- " 175840538.0 | \n",
- " 16235872.0 | \n",
- " 75060463.0 | \n",
- " 106584068.0 | \n",
- " \n",
- " \n",
- " | 121660 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-28 04:26:35 | \n",
- " 317.0 | \n",
- " 2019-04-29 09:50:29 | \n",
- " 835.0 | \n",
- " 105834.0 | \n",
- " 2.082017e+14 | \n",
- " 3.360681e+10 | \n",
- " 3.567631e+13 | \n",
- " D93078B | \n",
- " ... | \n",
- " 17300255.0 | \n",
- " 668926.0 | \n",
- " 3761746.0 | \n",
- " 1228328.0 | \n",
- " 264750897.0 | \n",
- " 3116590.0 | \n",
- " 232275774.0 | \n",
- " 933180.0 | \n",
- " 6987876.0 | \n",
- " 293119110.0 | \n",
- " \n",
- " \n",
- " | 127773 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-28 00:12:27 | \n",
- " 667.0 | \n",
- " 2019-04-30 06:40:42 | \n",
- " 64.0 | \n",
- " 196094.0 | \n",
- " 2.082017e+14 | \n",
- " 3.363110e+10 | \n",
- " 3.520881e+13 | \n",
- " L70873A | \n",
- " ... | \n",
- " 18174690.0 | \n",
- " 21633973.0 | \n",
- " 17320452.0 | \n",
- " 20196141.0 | \n",
- " 118166164.0 | \n",
- " 16399651.0 | \n",
- " 112656807.0 | \n",
- " 14814488.0 | \n",
- " 77390291.0 | \n",
- " 165432318.0 | \n",
- " \n",
- " \n",
- " | 128371 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-28 07:07:43 | \n",
- " 334.0 | \n",
- " 2019-04-30 08:18:27 | \n",
- " 545.0 | \n",
- " 177044.0 | \n",
- " 2.082010e+14 | \n",
- " 3.362751e+10 | \n",
- " 3.528011e+13 | \n",
- " L53526C | \n",
- " ... | \n",
- " 16259158.0 | \n",
- " 20824619.0 | \n",
- " 21930816.0 | \n",
- " 21070992.0 | \n",
- " 71265855.0 | \n",
- " 14663055.0 | \n",
- " 414313423.0 | \n",
- " 14800780.0 | \n",
- " 76066739.0 | \n",
- " 117616287.0 | \n",
- " \n",
- " \n",
- " | 135120 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-28 22:50:15 | \n",
- " 789.0 | \n",
- " 2019-04-30 08:16:20 | \n",
- " 237.0 | \n",
- " 120364.0 | \n",
- " 2.082017e+14 | \n",
- " 3.366134e+10 | \n",
- " 3.558771e+13 | \n",
- " L11845A | \n",
- " ... | \n",
- " 8345035.0 | \n",
- " 17178120.0 | \n",
- " 5293654.0 | \n",
- " 21316578.0 | \n",
- " 636531933.0 | \n",
- " 15525933.0 | \n",
- " 34761089.0 | \n",
- " 16170973.0 | \n",
- " 74984241.0 | \n",
- " 655338405.0 | \n",
- " \n",
- " \n",
- " | 138199 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-29 02:11:42 | \n",
- " 650.0 | \n",
- " 2019-04-30 02:11:42 | \n",
- " 728.0 | \n",
- " 86400.0 | \n",
- " 2.082018e+14 | \n",
- " 3.369938e+10 | \n",
- " 8.637690e+13 | \n",
- " D83857C | \n",
- " ... | \n",
- " 22914639.0 | \n",
- " 21585599.0 | \n",
- " 214885.0 | \n",
- " 19285858.0 | \n",
- " 604268236.0 | \n",
- " 14844763.0 | \n",
- " 750659200.0 | \n",
- " 15766681.0 | \n",
- " 75825266.0 | \n",
- " 640308498.0 | \n",
- " \n",
- " \n",
- " | 141413 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-29 04:03:20 | \n",
- " 269.0 | \n",
- " 2019-04-30 04:03:20 | \n",
- " 230.0 | \n",
- " 86399.0 | \n",
- " 2.082009e+14 | \n",
- " 3.365880e+10 | \n",
- " 3.533251e+13 | \n",
- " 9164567011319310 | \n",
- " ... | \n",
- " 15910310.0 | \n",
- " 21542572.0 | \n",
- " 13830009.0 | \n",
- " 21208833.0 | \n",
- " 577270131.0 | \n",
- " 15454924.0 | \n",
- " 473605493.0 | \n",
- " 13943265.0 | \n",
- " 76052422.0 | \n",
- " 616247021.0 | \n",
- " \n",
- " \n",
- " | 142425 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-29 04:30:32 | \n",
- " 414.0 | \n",
- " 2019-04-30 04:30:32 | \n",
- " 341.0 | \n",
- " 86399.0 | \n",
- " 2.082017e+14 | \n",
- " 3.376147e+10 | \n",
- " 3.529891e+13 | \n",
- " D10694A | \n",
- " ... | \n",
- " 13867704.0 | \n",
- " 915605.0 | \n",
- " 5056905.0 | \n",
- " 451320.0 | \n",
- " 699767945.0 | \n",
- " 1620291.0 | \n",
- " 677699897.0 | \n",
- " 2248238.0 | \n",
- " 6852277.0 | \n",
- " 733551675.0 | \n",
- " \n",
- " \n",
- " | 142471 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-29 04:31:46 | \n",
- " 201.0 | \n",
- " 2019-04-30 12:33:00 | \n",
- " 514.0 | \n",
- " 115274.0 | \n",
- " 2.082018e+14 | \n",
- " 3.364726e+10 | \n",
- " 3.573621e+13 | \n",
- " T89879C | \n",
- " ... | \n",
- " 2670910.0 | \n",
- " 20720550.0 | \n",
- " 14363392.0 | \n",
- " 21357789.0 | \n",
- " 647538146.0 | \n",
- " 15292310.0 | \n",
- " 613992062.0 | \n",
- " 15469124.0 | \n",
- " 75715253.0 | \n",
- " 671474309.0 | \n",
- " \n",
- " \n",
- " | 142514 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-29 04:32:36 | \n",
- " 461.0 | \n",
- " 2019-04-30 16:56:00 | \n",
- " 418.0 | \n",
- " 131003.0 | \n",
- " 2.082015e+14 | \n",
- " 3.369842e+10 | \n",
- " 8.690980e+13 | \n",
- " D50549B | \n",
- " ... | \n",
- " 12771344.0 | \n",
- " 20091617.0 | \n",
- " 10623504.0 | \n",
- " 21769536.0 | \n",
- " 760997630.0 | \n",
- " 15484064.0 | \n",
- " 731001647.0 | \n",
- " 13786362.0 | \n",
- " 75649033.0 | \n",
- " 790107607.0 | \n",
- " \n",
- " \n",
- " | 142544 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-29 04:33:18 | \n",
- " 52.0 | \n",
- " 2019-04-30 04:33:18 | \n",
- " 24.0 | \n",
- " 86399.0 | \n",
- " 2.082018e+14 | \n",
- " 3.369818e+10 | \n",
- " 8.637690e+13 | \n",
- " D21095B | \n",
- " ... | \n",
- " 6919557.0 | \n",
- " 20508375.0 | \n",
- " 21768377.0 | \n",
- " 21836642.0 | \n",
- " 780258014.0 | \n",
- " 14536116.0 | \n",
- " 716715935.0 | \n",
- " 16481850.0 | \n",
- " 76667292.0 | \n",
- " 818883063.0 | \n",
- " \n",
- " \n",
- " | 143077 | \n",
- " 6.917538e+18 | \n",
- " 2019-04-29 04:47:06 | \n",
- " 227.0 | \n",
- " 2019-04-30 04:45:31 | \n",
- " 647.0 | \n",
- " 86305.0 | \n",
- " 2.082017e+14 | \n",
- " 3.366008e+10 | \n",
- " 1.353300e+12 | \n",
- " G20917C | \n",
- " ... | \n",
- " 7183144.0 | \n",
- " 1736827.0 | \n",
- " 5005101.0 | \n",
- " 3002643.0 | \n",
- " 458295806.0 | \n",
- " 168849.0 | \n",
- " 141067541.0 | \n",
- " 142036.0 | \n",
- " 6130740.0 | \n",
- " 477762586.0 | \n",
- " \n",
- " \n",
- " | 149500 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-29 07:23:45 | \n",
- " 311.0 | \n",
- " 2019-04-30 18:23:39 | \n",
- " 454.0 | \n",
- " 125994.0 | \n",
- " 2.082021e+14 | \n",
- " 3.368630e+10 | \n",
- " 3.593101e+13 | \n",
- " D11837B | \n",
- " ... | \n",
- " 14197294.0 | \n",
- " 20478032.0 | \n",
- " 3361021.0 | \n",
- " 21185346.0 | \n",
- " 514665131.0 | \n",
- " 15843922.0 | \n",
- " 289552662.0 | \n",
- " 15612647.0 | \n",
- " 76916429.0 | \n",
- " 537126512.0 | \n",
+ " 2019-04-29 06:53:12 | \n",
+ " 834.0 | \n",
+ " 2019-04-30 06:53:12 | \n",
+ " 872.0 | \n",
+ " 86400.0 | \n",
+ " 2.082017e+14 | \n",
+ " 3.365857e+10 | \n",
+ " 8.637690e+13 | \n",
+ " D93909B | \n",
+ " ... | \n",
+ " 2056331.0 | \n",
+ " 20183370.0 | \n",
+ " 11364644.0 | \n",
+ " 19575271.0 | \n",
+ " 194644882.0 | \n",
+ " 6271005.0 | \n",
+ " 138016212.0 | \n",
+ " 10571212.0 | \n",
+ " 60417571.0 | \n",
+ " 213087467.0 | \n",
" \n",
" \n",
"\n",
- "55 rows × 45 columns \n",
+ "125 rows × 55 columns \n",
""
],
"text/plain": [
" bearer_id start start_ms end \\\n",
- "4419 1.311448e+19 2019-04-24 08:00:27 693.0 2019-04-25 00:25:03 \n",
- "5966 1.304243e+19 2019-04-24 11:06:41 11.0 2019-04-25 01:18:42 \n",
- "13505 7.349883e+18 2019-04-24 18:19:48 503.0 2019-04-25 00:39:04 \n",
- "15350 1.304243e+19 2019-04-24 18:53:45 213.0 2019-04-25 00:37:57 \n",
- "15901 7.349883e+18 2019-04-24 19:03:13 939.0 2019-04-25 02:59:12 \n",
- "20725 7.277826e+18 2019-04-24 20:12:55 565.0 2019-04-25 00:07:33 \n",
- "22436 7.349883e+18 2019-04-24 20:34:46 297.0 2019-04-25 03:00:58 \n",
- "26313 7.349883e+18 2019-04-23 08:48:32 528.0 2019-04-26 07:01:08 \n",
- "26389 7.277826e+18 2019-04-23 09:12:27 842.0 2019-04-26 08:48:31 \n",
- "29219 1.311448e+19 2019-04-24 09:48:26 966.0 2019-04-26 08:14:29 \n",
- "29755 1.311448e+19 2019-04-24 10:36:47 847.0 2019-04-26 08:54:10 \n",
- "30409 7.349883e+18 2019-04-24 12:23:51 728.0 2019-04-26 11:01:18 \n",
- "34321 7.277826e+18 2019-04-24 23:34:01 646.0 2019-04-26 15:47:02 \n",
- "36355 1.304243e+19 2019-04-25 01:42:02 317.0 2019-04-26 01:42:02 \n",
- "36768 7.277826e+18 2019-04-25 01:57:45 910.0 2019-04-26 01:57:45 \n",
- "37423 1.304243e+19 2019-04-25 02:21:10 225.0 2019-04-26 02:21:10 \n",
- "39511 1.304243e+19 2019-04-25 03:29:42 972.0 2019-04-26 03:29:42 \n",
- "41905 1.304243e+19 2019-04-25 04:53:05 870.0 2019-04-26 04:53:05 \n",
- "45104 1.311448e+19 2019-04-25 06:45:28 835.0 2019-04-26 09:12:05 \n",
- "51921 7.349883e+18 2019-04-24 22:34:52 465.0 2019-04-27 18:28:30 \n",
- "52132 1.311448e+19 2019-04-25 04:14:03 376.0 2019-04-27 17:30:23 \n",
- "53066 7.349883e+18 2019-04-25 08:20:32 48.0 2019-04-27 08:47:20 \n",
- "55665 1.304243e+19 2019-04-25 16:03:18 727.0 2019-04-27 07:36:25 \n",
- "55924 7.277826e+18 2019-04-25 16:43:26 619.0 2019-04-27 16:01:33 \n",
- "65994 1.311448e+19 2019-04-26 07:32:50 44.0 2019-04-27 09:40:33 \n",
- "67489 7.277826e+18 2019-04-26 07:45:36 486.0 2019-04-27 07:45:36 \n",
- "76325 7.277826e+18 2019-04-27 00:21:15 125.0 2019-04-28 00:21:05 \n",
- "76564 6.917538e+18 2019-04-27 00:55:20 849.0 2019-04-28 00:55:12 \n",
- "76583 7.277826e+18 2019-04-27 00:59:09 58.0 2019-04-28 00:59:09 \n",
- "80771 7.277826e+18 2019-04-27 08:36:14 629.0 2019-04-28 01:04:57 \n",
- "83211 7.349883e+18 2019-04-27 10:21:24 848.0 2019-04-28 00:16:03 \n",
- "85120 1.311448e+19 2019-04-27 11:21:23 584.0 2019-04-28 01:00:21 \n",
- "86556 7.277826e+18 2019-04-27 12:16:22 447.0 2019-04-28 05:13:54 \n",
- "90000 1.304243e+19 2019-04-27 14:14:38 265.0 2019-04-28 00:33:09 \n",
- "90370 6.917538e+18 2019-04-27 14:22:31 727.0 2019-04-28 06:22:31 \n",
- "94398 7.277826e+18 2019-04-27 16:02:18 631.0 2019-04-28 00:30:33 \n",
- "96242 1.304243e+19 2019-04-27 16:35:07 802.0 2019-04-27 23:25:27 \n",
- "102830 7.349883e+18 2019-04-26 19:59:00 379.0 2019-04-29 13:16:30 \n",
- "108412 7.349883e+18 2019-04-27 15:20:49 248.0 2019-04-29 08:14:03 \n",
- "114664 1.311448e+19 2019-04-28 00:27:15 859.0 2019-04-29 07:33:28 \n",
- "114831 7.349883e+18 2019-04-28 00:33:02 29.0 2019-04-29 08:21:12 \n",
- "116370 1.304243e+19 2019-04-28 01:27:23 188.0 2019-04-29 00:18:08 \n",
- "117030 7.277826e+18 2019-04-28 01:49:37 884.0 2019-04-29 01:49:37 \n",
- "121660 7.349883e+18 2019-04-28 04:26:35 317.0 2019-04-29 09:50:29 \n",
- "127773 1.311448e+19 2019-04-28 00:12:27 667.0 2019-04-30 06:40:42 \n",
- "128371 1.311448e+19 2019-04-28 07:07:43 334.0 2019-04-30 08:18:27 \n",
- "135120 7.349883e+18 2019-04-28 22:50:15 789.0 2019-04-30 08:16:20 \n",
- "138199 1.304243e+19 2019-04-29 02:11:42 650.0 2019-04-30 02:11:42 \n",
- "141413 1.304243e+19 2019-04-29 04:03:20 269.0 2019-04-30 04:03:20 \n",
- "142425 7.277826e+18 2019-04-29 04:30:32 414.0 2019-04-30 04:30:32 \n",
- "142471 1.311448e+19 2019-04-29 04:31:46 201.0 2019-04-30 12:33:00 \n",
- "142514 7.349883e+18 2019-04-29 04:32:36 461.0 2019-04-30 16:56:00 \n",
- "142544 1.304243e+19 2019-04-29 04:33:18 52.0 2019-04-30 04:33:18 \n",
- "143077 6.917538e+18 2019-04-29 04:47:06 227.0 2019-04-30 04:45:31 \n",
- "149500 7.349883e+18 2019-04-29 07:23:45 311.0 2019-04-30 18:23:39 \n",
+ "563 1.304243e+19 2019-04-24 00:00:11 698.0 2019-04-25 00:00:15 \n",
+ "783 1.304243e+19 2019-04-24 00:22:41 489.0 2019-04-25 00:22:41 \n",
+ "815 1.304243e+19 2019-04-24 00:26:09 254.0 2019-04-25 00:26:09 \n",
+ "1236 1.304243e+19 2019-04-24 01:15:03 318.0 2019-04-25 01:15:55 \n",
+ "1369 7.277826e+18 2019-04-24 01:26:14 132.0 2019-04-25 01:26:14 \n",
+ "... ... ... ... ... \n",
+ "143416 7.277826e+18 2019-04-29 04:55:19 60.0 2019-04-30 04:55:19 \n",
+ "143597 1.304243e+19 2019-04-29 04:59:50 318.0 2019-04-30 04:59:50 \n",
+ "143662 7.277826e+18 2019-04-29 05:01:09 107.0 2019-04-30 05:01:07 \n",
+ "145427 1.304243e+19 2019-04-29 06:09:30 700.0 2019-04-30 06:09:31 \n",
+ "147304 1.304243e+19 2019-04-29 06:53:12 834.0 2019-04-30 06:53:12 \n",
"\n",
" end_ms dur._(ms) imsi msisdn/number imei \\\n",
- "4419 243.0 59075.0 2.082015e+14 3.365009e+10 3.526021e+13 \n",
- "5966 881.0 51121.0 2.082018e+14 3.363890e+10 3.591571e+13 \n",
- "13505 703.0 22756.0 2.082003e+14 3.362051e+10 3.569581e+13 \n",
- "15350 769.0 20652.0 2.082015e+14 3.378231e+10 3.566301e+13 \n",
- "15901 441.0 28558.0 2.082017e+14 3.366347e+10 3.585631e+13 \n",
- "20725 672.0 14078.0 2.082021e+14 3.369956e+10 3.577771e+13 \n",
- "22436 781.0 23172.0 2.082019e+14 3.361284e+10 3.553951e+13 \n",
- "26313 862.0 252756.0 2.082022e+14 3.361257e+10 3.568081e+13 \n",
- "26389 311.0 257763.0 2.082018e+14 3.366943e+10 3.517151e+13 \n",
- "29219 879.0 167162.0 2.082009e+14 3.365830e+10 3.518231e+13 \n",
- "29755 958.0 166643.0 2.082019e+14 3.378319e+10 3.587931e+13 \n",
- "30409 625.0 167846.0 2.082018e+14 3.376359e+10 3.530271e+13 \n",
- "34321 804.0 144781.0 2.082015e+14 3.363730e+10 3.540711e+13 \n",
- "36355 234.0 86399.0 2.082010e+14 3.366294e+10 8.637690e+13 \n",
- "36768 851.0 86399.0 2.082014e+14 3.365912e+10 8.637690e+13 \n",
- "37423 250.0 86400.0 2.082017e+14 3.376385e+10 8.637690e+13 \n",
- "39511 978.0 86400.0 2.082010e+14 3.369986e+10 8.637690e+13 \n",
- "41905 807.0 86399.0 2.082014e+14 3.366769e+10 8.637690e+13 \n",
- "45104 581.0 95196.0 2.082010e+14 3.365068e+10 8.683890e+13 \n",
- "51921 80.0 244417.0 2.082019e+14 3.366114e+10 3.554221e+13 \n",
- "52132 974.0 220580.0 2.082014e+14 3.367492e+10 8.652440e+13 \n",
- "53066 930.0 174408.0 2.082019e+14 3.366261e+10 3.589521e+13 \n",
- "55665 500.0 142386.0 2.082018e+14 3.376350e+10 3.536861e+13 \n",
- "55924 365.0 170286.0 2.082021e+14 3.365901e+10 3.533301e+13 \n",
- "65994 608.0 94063.0 2.082014e+14 3.362162e+10 3.591441e+13 \n",
- "67489 483.0 86399.0 2.082018e+14 3.365958e+10 8.637690e+13 \n",
- "76325 456.0 86390.0 2.082003e+14 3.364709e+10 3.572891e+13 \n",
- "76564 125.0 86391.0 2.082010e+14 3.366189e+10 3.569901e+13 \n",
- "76583 52.0 86399.0 2.082014e+14 3.361997e+10 8.662190e+13 \n",
- "80771 627.0 59322.0 2.082015e+14 3.364897e+10 3.576541e+13 \n",
- "83211 223.0 50078.0 2.082019e+14 3.367284e+10 3.576311e+13 \n",
- "85120 867.0 49138.0 2.082019e+14 3.366059e+10 3.590391e+13 \n",
- "86556 425.0 61051.0 2.082015e+14 3.366155e+10 8.662480e+13 \n",
- "90000 566.0 37111.0 2.082003e+14 3.366737e+10 3.543611e+13 \n",
- "90370 675.0 57599.0 2.082015e+14 3.376042e+10 3.569771e+13 \n",
- "94398 450.0 30494.0 2.082017e+14 3.362931e+10 3.548291e+13 \n",
- "96242 997.0 24620.0 2.082015e+14 3.368391e+10 3.552331e+13 \n",
- "102830 292.0 235049.0 2.082009e+14 3.365905e+10 3.591441e+13 \n",
- "108412 875.0 147194.0 2.082010e+14 3.366708e+10 3.561341e+13 \n",
- "114664 895.0 111973.0 2.082010e+14 3.360781e+10 3.564571e+13 \n",
- "114831 592.0 114490.0 2.082019e+14 3.369815e+10 3.575751e+13 \n",
- "116370 955.0 82245.0 2.082015e+14 3.366468e+10 3.592811e+13 \n",
- "117030 773.0 86399.0 2.082014e+14 3.365904e+10 8.637690e+13 \n",
- "121660 835.0 105834.0 2.082017e+14 3.360681e+10 3.567631e+13 \n",
- "127773 64.0 196094.0 2.082017e+14 3.363110e+10 3.520881e+13 \n",
- "128371 545.0 177044.0 2.082010e+14 3.362751e+10 3.528011e+13 \n",
- "135120 237.0 120364.0 2.082017e+14 3.366134e+10 3.558771e+13 \n",
- "138199 728.0 86400.0 2.082018e+14 3.369938e+10 8.637690e+13 \n",
- "141413 230.0 86399.0 2.082009e+14 3.365880e+10 3.533251e+13 \n",
- "142425 341.0 86399.0 2.082017e+14 3.376147e+10 3.529891e+13 \n",
- "142471 514.0 115274.0 2.082018e+14 3.364726e+10 3.573621e+13 \n",
- "142514 418.0 131003.0 2.082015e+14 3.369842e+10 8.690980e+13 \n",
- "142544 24.0 86399.0 2.082018e+14 3.369818e+10 8.637690e+13 \n",
- "143077 647.0 86305.0 2.082017e+14 3.366008e+10 1.353300e+12 \n",
- "149500 454.0 125994.0 2.082021e+14 3.368630e+10 3.593101e+13 \n",
+ "563 236.0 86403.0 2.082015e+14 3.365829e+10 3.592631e+13 \n",
+ "783 461.0 86399.0 2.082014e+14 3.366027e+10 8.654080e+13 \n",
+ "815 177.0 86399.0 2.082010e+14 3.366228e+10 8.654080e+13 \n",
+ "1236 734.0 86452.0 2.082017e+14 3.376314e+10 8.637690e+13 \n",
+ "1369 44.0 86399.0 2.082018e+14 3.366845e+10 8.637690e+13 \n",
+ "... ... ... ... ... ... \n",
+ "143416 674.0 86400.0 2.082019e+14 3.365802e+10 8.672620e+13 \n",
+ "143597 193.0 86399.0 2.082017e+14 3.365927e+10 8.637690e+13 \n",
+ "143662 948.0 86398.0 2.082010e+14 3.369938e+10 8.637690e+13 \n",
+ "145427 140.0 86400.0 2.082017e+14 3.366833e+10 8.637690e+13 \n",
+ "147304 872.0 86400.0 2.082017e+14 3.365857e+10 8.637690e+13 \n",
"\n",
" last_location_name ... youtube_dl_(bytes) youtube_ul_(bytes) \\\n",
- "4419 D74540B ... 4557312.0 91712.0 \n",
- "5966 D88443C ... 15767234.0 1148916.0 \n",
- "13505 T12736C ... 12429341.0 660979.0 \n",
- "15350 D92969C ... 13285220.0 20988305.0 \n",
- "15901 D92799A ... 22017697.0 20590565.0 \n",
- "20725 L11847A ... 1231799.0 21701832.0 \n",
- "22436 D50014C ... 3838943.0 266297.0 \n",
- "26313 D62041C ... 12814317.0 726861.0 \n",
- "26389 D79079B ... 21406612.0 1183644.0 \n",
- "29219 D42685C ... 21762255.0 20619678.0 \n",
- "29755 T41312B ... 20899209.0 20137609.0 \n",
- "30409 D14160C ... 4345527.0 17317614.0 \n",
- "34321 D50543C ... 3705321.0 21082120.0 \n",
- "36355 T89914A ... 1799359.0 21413889.0 \n",
- "36768 T87796B ... 5447497.0 691211.0 \n",
- "37423 T29829B ... 1979389.0 1462150.0 \n",
- "39511 D31798A ... 1672623.0 431605.0 \n",
- "41905 T29714A ... 19602718.0 21793981.0 \n",
- "45104 T83862B ... 13242140.0 922340.0 \n",
- "51921 T21829A ... 6070587.0 1877744.0 \n",
- "52132 T11002B ... 11302577.0 21501662.0 \n",
- "53066 T87810B ... 22728180.0 21162822.0 \n",
- "55665 D50127C ... 18166203.0 1747708.0 \n",
- "55924 D93483C ... 13239486.0 1013527.0 \n",
- "65994 T72365C ... 109517.0 20630988.0 \n",
- "67489 D89189B ... 9454675.0 2145889.0 \n",
- "76325 D27389A ... 9677558.0 20940254.0 \n",
- "76564 U89655C ... 14519043.0 451651.0 \n",
- "76583 D10426B ... 22719401.0 1130335.0 \n",
- "80771 L10990C ... 6558667.0 21327215.0 \n",
- "83211 D17511B ... 1063201.0 20789736.0 \n",
- "85120 D79707C ... 3320044.0 295586.0 \n",
- "86556 T77686B ... 1325265.0 19722578.0 \n",
- "90000 T72248C ... 7386594.0 746678.0 \n",
- "90370 G74073B ... 7638855.0 2446517.0 \n",
- "94398 T85894A ... 18898084.0 21496079.0 \n",
- "96242 9164566995485180 ... 15001438.0 1531847.0 \n",
- "102830 T10381B ... 791825.0 422205.0 \n",
- "108412 D14322C ... 18784661.0 294283.0 \n",
- "114664 T88982A ... 7877462.0 19075571.0 \n",
- "114831 T89146C ... 16232050.0 636385.0 \n",
- "116370 D52917A ... 10081653.0 1982781.0 \n",
- "117030 L77140A ... 23225536.0 20187059.0 \n",
- "121660 D93078B ... 17300255.0 668926.0 \n",
- "127773 L70873A ... 18174690.0 21633973.0 \n",
- "128371 L53526C ... 16259158.0 20824619.0 \n",
- "135120 L11845A ... 8345035.0 17178120.0 \n",
- "138199 D83857C ... 22914639.0 21585599.0 \n",
- "141413 9164567011319310 ... 15910310.0 21542572.0 \n",
- "142425 D10694A ... 13867704.0 915605.0 \n",
- "142471 T89879C ... 2670910.0 20720550.0 \n",
- "142514 D50549B ... 12771344.0 20091617.0 \n",
- "142544 D21095B ... 6919557.0 20508375.0 \n",
- "143077 G20917C ... 7183144.0 1736827.0 \n",
- "149500 D11837B ... 14197294.0 20478032.0 \n",
+ "563 L42997A ... 14167452.0 16687696.0 \n",
+ "783 T88349B ... 787496.0 15618631.0 \n",
+ "815 L85966B ... 14040294.0 2757831.0 \n",
+ "1236 T88449B ... 4952237.0 8113457.0 \n",
+ "1369 T21355A ... 17235232.0 12879086.0 \n",
+ "... ... ... ... ... \n",
+ "143416 L10326C ... 19658514.0 9696167.0 \n",
+ "143597 T88844C ... 3404332.0 9622909.0 \n",
+ "143662 D93656A ... 1824702.0 20827969.0 \n",
+ "145427 D88357A ... 20392237.0 9395084.0 \n",
+ "147304 D93909B ... 2056331.0 20183370.0 \n",
"\n",
" netflix_dl_(bytes) netflix_ul_(bytes) gaming_dl_(bytes) \\\n",
- "4419 12259837.0 404950.0 557803005.0 \n",
- "5966 3886610.0 3495866.0 298512002.0 \n",
- "13505 10982987.0 510541.0 597148476.0 \n",
- "15350 23231657.0 21650146.0 350061114.0 \n",
- "15901 13742934.0 21948653.0 800409956.0 \n",
- "20725 16582494.0 19337726.0 160430857.0 \n",
- "22436 17217180.0 1124564.0 800071175.0 \n",
- "26313 16575342.0 422195.0 411769456.0 \n",
- "26389 7796645.0 696201.0 391946002.0 \n",
- "29219 5230817.0 21299696.0 314600331.0 \n",
- "29755 866000.0 21474304.0 317152462.0 \n",
- "30409 20656042.0 21822819.0 273329633.0 \n",
- "34321 14106171.0 19860922.0 230277632.0 \n",
- "36355 4691230.0 21559564.0 610997024.0 \n",
- "36768 10152821.0 1685539.0 620688922.0 \n",
- "37423 11084682.0 10597.0 552850637.0 \n",
- "39511 4343053.0 1266277.0 557988574.0 \n",
- "41905 15083051.0 21099178.0 371427543.0 \n",
- "45104 6808243.0 2095080.0 331975562.0 \n",
- "51921 17194395.0 150335.0 836899305.0 \n",
- "52132 12156548.0 19682682.0 840912532.0 \n",
- "53066 18343666.0 20877773.0 2117561.0 \n",
- "55665 523391.0 437343.0 508615866.0 \n",
- "55924 3027604.0 1286830.0 662680677.0 \n",
- "65994 132198.0 21648599.0 817348789.0 \n",
- "67489 2884474.0 1757001.0 755942042.0 \n",
- "76325 13808364.0 20761208.0 44744669.0 \n",
- "76564 9107194.0 265037.0 149790579.0 \n",
- "76583 20495004.0 996089.0 22588294.0 \n",
- "80771 1555698.0 19611751.0 450587963.0 \n",
- "83211 20934470.0 21600102.0 672209315.0 \n",
- "85120 313477.0 859986.0 232510591.0 \n",
- "86556 18670947.0 20364218.0 517792849.0 \n",
- "90000 19765194.0 1793681.0 652969002.0 \n",
- "90370 4935051.0 938399.0 344832862.0 \n",
- "94398 12651041.0 20241581.0 438852834.0 \n",
- "96242 4052737.0 3024031.0 341070930.0 \n",
- "102830 5283196.0 1025760.0 41717494.0 \n",
- "108412 21219098.0 2819248.0 266971391.0 \n",
- "114664 5910454.0 19379045.0 720042501.0 \n",
- "114831 9870521.0 417285.0 652577247.0 \n",
- "116370 16571558.0 682529.0 512920823.0 \n",
- "117030 19040736.0 20564925.0 51755481.0 \n",
- "121660 3761746.0 1228328.0 264750897.0 \n",
- "127773 17320452.0 20196141.0 118166164.0 \n",
- "128371 21930816.0 21070992.0 71265855.0 \n",
- "135120 5293654.0 21316578.0 636531933.0 \n",
- "138199 214885.0 19285858.0 604268236.0 \n",
- "141413 13830009.0 21208833.0 577270131.0 \n",
- "142425 5056905.0 451320.0 699767945.0 \n",
- "142471 14363392.0 21357789.0 647538146.0 \n",
- "142514 10623504.0 21769536.0 760997630.0 \n",
- "142544 21768377.0 21836642.0 780258014.0 \n",
- "143077 5005101.0 3002643.0 458295806.0 \n",
- "149500 3361021.0 21185346.0 514665131.0 \n",
+ "563 20674616.0 15219817.0 667514871.0 \n",
+ "783 12824807.0 10070595.0 832811516.0 \n",
+ "815 17429785.0 15843551.0 41103853.0 \n",
+ "1236 22300544.0 3575703.0 231968638.0 \n",
+ "1369 17019426.0 5646999.0 267351464.0 \n",
+ "... ... ... ... \n",
+ "143416 10445046.0 10645489.0 69768358.0 \n",
+ "143597 10899189.0 4644588.0 314857668.0 \n",
+ "143662 220153.0 8444865.0 824128190.0 \n",
+ "145427 4335545.0 15007554.0 24591692.0 \n",
+ "147304 11364644.0 19575271.0 194644882.0 \n",
"\n",
" gaming_ul_(bytes) other_dl_(bytes) other_ul_(bytes) \\\n",
- "4419 3950587.0 648311234.0 400751.0 \n",
- "5966 313066.0 796845662.0 22444.0 \n",
- "13505 124554.0 385902024.0 2101782.0 \n",
- "15350 15792667.0 773955089.0 15880966.0 \n",
- "15901 15587551.0 706266755.0 15354227.0 \n",
- "20725 14869663.0 388880674.0 15211788.0 \n",
- "22436 447425.0 625768055.0 2169741.0 \n",
- "26313 1778609.0 117400153.0 1401294.0 \n",
- "26389 2436772.0 394264579.0 342643.0 \n",
- "29219 14142706.0 560887770.0 15625409.0 \n",
- "29755 14155529.0 831365304.0 16309970.0 \n",
- "30409 15726407.0 623166944.0 16528379.0 \n",
- "34321 13182794.0 668778449.0 16361931.0 \n",
- "36355 14386807.0 481947214.0 16116881.0 \n",
- "36768 1306797.0 507337188.0 534689.0 \n",
- "37423 3217653.0 196545118.0 1004464.0 \n",
- "39511 1090701.0 301183835.0 160138.0 \n",
- "41905 15634417.0 292324811.0 15961972.0 \n",
- "45104 2658529.0 693581945.0 273782.0 \n",
- "51921 863086.0 827850449.0 1662487.0 \n",
- "52132 15082146.0 696269355.0 14698593.0 \n",
- "53066 14841553.0 447915158.0 14650100.0 \n",
- "55665 1918893.0 405215967.0 1152874.0 \n",
- "55924 371258.0 36984784.0 2872923.0 \n",
- "65994 14295487.0 438428921.0 15145339.0 \n",
- "67489 792953.0 418986222.0 391925.0 \n",
- "76325 15735898.0 282353222.0 16377689.0 \n",
- "76564 1985982.0 295434009.0 2108989.0 \n",
- "76583 279649.0 58189161.0 72908.0 \n",
- "80771 15989751.0 221289667.0 15787570.0 \n",
- "83211 14684008.0 291939818.0 15605684.0 \n",
- "85120 1981724.0 650229250.0 2508439.0 \n",
- "86556 16429849.0 207690814.0 15129525.0 \n",
- "90000 307815.0 225034616.0 3083488.0 \n",
- "90370 2259559.0 379705049.0 81830.0 \n",
- "94398 16159797.0 126291218.0 15668536.0 \n",
- "96242 1065895.0 135046568.0 964344.0 \n",
- "102830 1375358.0 31377531.0 918699.0 \n",
- "108412 478796.0 407859428.0 1483131.0 \n",
- "114664 15819340.0 305009201.0 16551142.0 \n",
- "114831 25882.0 467173189.0 434054.0 \n",
- "116370 190075.0 655134655.0 710952.0 \n",
- "117030 15696855.0 175840538.0 16235872.0 \n",
- "121660 3116590.0 232275774.0 933180.0 \n",
- "127773 16399651.0 112656807.0 14814488.0 \n",
- "128371 14663055.0 414313423.0 14800780.0 \n",
- "135120 15525933.0 34761089.0 16170973.0 \n",
- "138199 14844763.0 750659200.0 15766681.0 \n",
- "141413 15454924.0 473605493.0 13943265.0 \n",
- "142425 1620291.0 677699897.0 2248238.0 \n",
- "142471 15292310.0 613992062.0 15469124.0 \n",
- "142514 15484064.0 731001647.0 13786362.0 \n",
- "142544 14536116.0 716715935.0 16481850.0 \n",
- "143077 168849.0 141067541.0 142036.0 \n",
- "149500 15843922.0 289552662.0 15612647.0 \n",
+ "563 13291774.0 342138442.0 13294433.0 \n",
+ "783 3650083.0 405294647.0 6010671.0 \n",
+ "815 2635642.0 672644941.0 609546.0 \n",
+ "1236 6783826.0 672789523.0 12621381.0 \n",
+ "1369 14525412.0 740161901.0 9615407.0 \n",
+ "... ... ... ... \n",
+ "143416 9369007.0 422158065.0 5331060.0 \n",
+ "143597 1998381.0 183518923.0 13099413.0 \n",
+ "143662 4161163.0 221240777.0 12139630.0 \n",
+ "145427 14249920.0 136229675.0 7042829.0 \n",
+ "147304 6271005.0 138016212.0 10571212.0 \n",
"\n",
" total_ul_(bytes) total_dl_(bytes) \n",
- "4419 6243519.0 584476427.0 \n",
- "5966 7248354.0 326923653.0 \n",
- "13505 4469240.0 629949264.0 \n",
- "15350 78331311.0 390390788.0 \n",
- "15901 76732208.0 844150389.0 \n",
- "20725 75365046.0 186303124.0 \n",
- "22436 4658336.0 838044368.0 \n",
- "26313 6843180.0 454620096.0 \n",
- "26389 5461287.0 427447047.0 \n",
- "29219 76106710.0 352087447.0 \n",
- "29755 75648001.0 353354016.0 \n",
- "30409 76160855.0 307128081.0 \n",
- "34321 75238657.0 253678982.0 \n",
- "36355 76607067.0 622140753.0 \n",
- "36768 6111724.0 642173199.0 \n",
- "37423 7167136.0 569089914.0 \n",
- "39511 4661082.0 571958472.0 \n",
- "41905 76178342.0 417622623.0 \n",
- "45104 7011653.0 364687088.0 \n",
- "51921 7198501.0 870348251.0 \n",
- "52132 75112879.0 880871897.0 \n",
- "53066 75808098.0 59042083.0 \n",
- "55665 6762964.0 533376978.0 \n",
- "55924 7258965.0 685418623.0 \n",
- "65994 75675867.0 820146774.0 \n",
- "67489 6150268.0 780687157.0 \n",
- "76325 76012662.0 80074706.0 \n",
- "76564 5921981.0 178843933.0 \n",
- "76583 5568418.0 79770986.0 \n",
- "80771 76902276.0 465637863.0 \n",
- "83211 77157382.0 700942074.0 \n",
- "85120 6900733.0 247863073.0 \n",
- "86556 76339088.0 545163569.0 \n",
- "90000 7119319.0 693869533.0 \n",
- "90370 6078096.0 363751473.0 \n",
- "94398 77458132.0 477823073.0 \n",
- "96242 7139912.0 374251050.0 \n",
- "102830 5276726.0 55757301.0 \n",
- "108412 5974147.0 321306245.0 \n",
- "114664 75788572.0 748942430.0 \n",
- "114831 2866892.0 683088939.0 \n",
- "116370 4338786.0 552837143.0 \n",
- "117030 75060463.0 106584068.0 \n",
- "121660 6987876.0 293119110.0 \n",
- "127773 77390291.0 165432318.0 \n",
- "128371 76066739.0 117616287.0 \n",
- "135120 74984241.0 655338405.0 \n",
- "138199 75825266.0 640308498.0 \n",
- "141413 76052422.0 616247021.0 \n",
- "142425 6852277.0 733551675.0 \n",
- "142471 75715253.0 671474309.0 \n",
- "142514 75649033.0 790107607.0 \n",
- "142544 76667292.0 818883063.0 \n",
- "143077 6130740.0 477762586.0 \n",
- "149500 76916429.0 537126512.0 \n",
+ "563 62025879.0 712700408.0 \n",
+ "783 37234541.0 858057935.0 \n",
+ "815 26706635.0 81434881.0 \n",
+ "1236 35045982.0 267636706.0 \n",
+ "1369 43983168.0 310983536.0 \n",
+ "... ... ... \n",
+ "143416 39155404.0 109745693.0 \n",
+ "143597 32361826.0 344894438.0 \n",
+ "143662 47152790.0 834468459.0 \n",
+ "145427 46273702.0 59930864.0 \n",
+ "147304 60417571.0 213087467.0 \n",
"\n",
- "[55 rows x 45 columns]"
+ "[125 rows x 55 columns]"
]
},
"metadata": {},
"output_type": "display_data"
- },
+ }
+ ],
+ "source": [
+ "display(outlier.outlier_overview(df, 'tcp_ul_retrans._vol_(bytes)'))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "125 rows with outliers"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Calculate number of outliers for each numeric column"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Select the numeric columns"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%load_ext autoreload\n",
+ "%autoreload 2\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "metadata": {},
+ "outputs": [
{
"data": {
- "text/html": [
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " | \n",
- " bearer_id | \n",
- " start | \n",
- " start_ms | \n",
- " end | \n",
- " end_ms | \n",
- " dur._(ms) | \n",
- " imsi | \n",
- " msisdn/number | \n",
- " imei | \n",
- " last_location_name | \n",
- " ... | \n",
- " youtube_dl_(bytes) | \n",
- " youtube_ul_(bytes) | \n",
- " netflix_dl_(bytes) | \n",
- " netflix_ul_(bytes) | \n",
- " gaming_dl_(bytes) | \n",
- " gaming_ul_(bytes) | \n",
- " other_dl_(bytes) | \n",
- " other_ul_(bytes) | \n",
- " total_ul_(bytes) | \n",
- " total_dl_(bytes) | \n",
- " \n",
- " \n",
- " \n",
- " \n",
- " | 0 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-04 12:01:18 | \n",
- " 770.0 | \n",
- " 2019-04-25 14:35:31 | \n",
- " 662.0 | \n",
- " 1823652.0 | \n",
- " 2.082014e+14 | \n",
- " 3.366496e+10 | \n",
- " 3.552121e+13 | \n",
- " 9164566995485190 | \n",
- " ... | \n",
- " 1.585461e+07 | \n",
- " 2.501332e+06 | \n",
- " 8.198936e+06 | \n",
- " 9.656251e+06 | \n",
- " 2.780823e+08 | \n",
- " 1.434415e+07 | \n",
- " 1.717444e+08 | \n",
- " 8.814393e+06 | \n",
- " 36749741.0 | \n",
- " 308879636.0 | \n",
- " \n",
- " \n",
- " | 1 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-09 13:04:04 | \n",
- " 235.0 | \n",
- " 2019-04-25 08:15:48 | \n",
- " 606.0 | \n",
- " 1365104.0 | \n",
- " 2.082019e+14 | \n",
- " 3.368185e+10 | \n",
- " 3.579401e+13 | \n",
- " L77566A | \n",
- " ... | \n",
- " 2.024740e+07 | \n",
- " 1.911173e+07 | \n",
- " 1.833841e+07 | \n",
- " 1.722713e+07 | \n",
- " 6.087501e+08 | \n",
- " 1.170709e+06 | \n",
- " 5.269042e+08 | \n",
- " 1.505514e+07 | \n",
- " 53800391.0 | \n",
- " 653384965.0 | \n",
- " \n",
- " \n",
- " | 2 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-09 17:42:11 | \n",
- " 1.0 | \n",
- " 2019-04-25 11:58:13 | \n",
- " 652.0 | \n",
- " 1361762.0 | \n",
- " 2.082003e+14 | \n",
- " 3.376063e+10 | \n",
- " 3.528151e+13 | \n",
- " D42335A | \n",
- " ... | \n",
- " 1.972566e+07 | \n",
- " 1.469958e+07 | \n",
- " 1.758779e+07 | \n",
- " 6.163408e+06 | \n",
- " 2.295846e+08 | \n",
- " 3.956300e+05 | \n",
- " 4.106926e+08 | \n",
- " 4.215763e+06 | \n",
- " 27883638.0 | \n",
- " 279807335.0 | \n",
- " \n",
- " \n",
- " | 3 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-10 00:31:25 | \n",
- " 486.0 | \n",
- " 2019-04-25 07:36:35 | \n",
- " 171.0 | \n",
- " 1321509.0 | \n",
- " 2.082014e+14 | \n",
- " 3.375034e+10 | \n",
- " 3.535661e+13 | \n",
- " T21824A | \n",
- " ... | \n",
- " 2.138812e+07 | \n",
- " 1.514664e+07 | \n",
- " 1.399465e+07 | \n",
- " 1.097942e+06 | \n",
- " 7.995382e+08 | \n",
- " 1.084972e+07 | \n",
- " 7.490399e+08 | \n",
- " 1.279728e+07 | \n",
- " 43324218.0 | \n",
- " 846028530.0 | \n",
- " \n",
- " \n",
- " | 4 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-12 20:10:23 | \n",
- " 565.0 | \n",
- " 2019-04-25 10:40:32 | \n",
- " 954.0 | \n",
- " 1089009.0 | \n",
- " 2.082014e+14 | \n",
- " 3.369980e+10 | \n",
- " 3.540701e+13 | \n",
- " D88865A | \n",
- " ... | \n",
- " 1.525938e+07 | \n",
- " 1.896287e+07 | \n",
- " 1.712458e+07 | \n",
- " 4.152180e+05 | \n",
- " 5.277072e+08 | \n",
- " 3.529801e+06 | \n",
- " 5.507095e+08 | \n",
- " 1.391032e+07 | \n",
- " 38542814.0 | \n",
- " 569138589.0 | \n",
- " \n",
- " \n",
- " | ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " \n",
- " \n",
- " | 149996 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-29 07:28:42 | \n",
- " 451.0 | \n",
- " 2019-04-30 06:02:33 | \n",
- " 214.0 | \n",
- " 81230.0 | \n",
- " 2.082022e+14 | \n",
- " 3.365069e+10 | \n",
- " 3.548311e+13 | \n",
- " D20434A | \n",
- " ... | \n",
- " 1.619167e+07 | \n",
- " 1.176343e+07 | \n",
- " 1.788370e+07 | \n",
- " 1.967816e+07 | \n",
- " 5.266097e+08 | \n",
- " 9.197207e+06 | \n",
- " 3.264510e+06 | \n",
- " 1.348742e+07 | \n",
- " 57628851.0 | \n",
- " 574175259.0 | \n",
- " \n",
- " \n",
- " | 149997 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-29 07:28:42 | \n",
- " 483.0 | \n",
- " 2019-04-30 10:41:33 | \n",
- " 187.0 | \n",
- " 97970.0 | \n",
- " 2.082019e+14 | \n",
- " 3.366345e+10 | \n",
- " 3.566051e+13 | \n",
- " D10223C | \n",
- " ... | \n",
- " 1.387723e+07 | \n",
- " 8.288284e+06 | \n",
- " 1.935015e+07 | \n",
- " 2.129315e+07 | \n",
- " 6.268931e+08 | \n",
- " 4.735033e+06 | \n",
- " 7.121804e+08 | \n",
- " 2.457758e+06 | \n",
- " 39135081.0 | \n",
- " 666648844.0 | \n",
- " \n",
- " \n",
- " | 149998 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-29 07:28:43 | \n",
- " 283.0 | \n",
- " 2019-04-30 10:46:12 | \n",
- " 810.0 | \n",
- " 98249.0 | \n",
- " 2.082017e+14 | \n",
- " 3.362189e+10 | \n",
- " 3.572121e+13 | \n",
- " T51102A | \n",
- " ... | \n",
- " 2.266051e+07 | \n",
- " 1.855903e+06 | \n",
- " 9.963942e+06 | \n",
- " 5.065760e+06 | \n",
- " 5.535395e+08 | \n",
- " 1.339432e+07 | \n",
- " 1.211009e+08 | \n",
- " 1.131473e+07 | \n",
- " 34912224.0 | \n",
- " 592786405.0 | \n",
- " \n",
- " \n",
- " | 149999 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-29 07:28:43 | \n",
- " 696.0 | \n",
- " 2019-04-30 10:40:34 | \n",
- " 327.0 | \n",
- " 97910.0 | \n",
- " 2.082021e+14 | \n",
- " 3.361962e+10 | \n",
- " 8.618620e+13 | \n",
- " L88342B | \n",
- " ... | \n",
- " 8.817106e+06 | \n",
- " 8.305402e+06 | \n",
- " 3.322253e+06 | \n",
- " 1.317259e+07 | \n",
- " 3.525370e+08 | \n",
- " 2.529475e+06 | \n",
- " 8.147131e+08 | \n",
- " 1.406930e+06 | \n",
- " 29626096.0 | \n",
- " 371895920.0 | \n",
- " \n",
- " \n",
- " | 150000 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-29 07:08:38 | \n",
- " 499.0 | \n",
- " 2019-04-25 00:01:32 | \n",
- " 500.0 | \n",
- " 86399.0 | \n",
- " 2.082015e+14 | \n",
- " 3.366371e+10 | \n",
- " 3.572201e+13 | \n",
- " D41377B | \n",
- " ... | \n",
- " 1.163407e+07 | \n",
- " 1.100941e+07 | \n",
- " 1.162685e+07 | \n",
- " 1.100175e+07 | \n",
- " 4.220447e+08 | \n",
- " 8.288398e+06 | \n",
- " 4.211005e+08 | \n",
- " 8.264799e+06 | \n",
- " 41143312.0 | \n",
- " 455841077.5 | \n",
- " \n",
- " \n",
- " \n",
- " 149946 rows × 45 columns \n",
- " imei | \n",
" last_location_name | \n",
" ... | \n",
+ " youtube_dl_(bytes) | \n",
" youtube_ul_(bytes) | \n",
" netflix_dl_(bytes) | \n",
" netflix_ul_(bytes) | \n",
@@ -3079,2176 +1771,442 @@
" other_ul_(bytes) | \n",
" total_ul_(bytes) | \n",
" total_dl_(bytes) | \n",
- " ZscoreMedInc | \n",
" \n",
" \n",
" \n",
" \n",
- " | 4419 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-24 08:00:27 | \n",
- " 693.0 | \n",
- " 2019-04-25 00:25:03 | \n",
- " 243.0 | \n",
- " 59075.0 | \n",
- " 2.082015e+14 | \n",
- " 3.365009e+10 | \n",
- " 3.526021e+13 | \n",
- " D74540B | \n",
- " ... | \n",
- " 91712.0 | \n",
- " 12259837.0 | \n",
- " 404950.0 | \n",
- " 557803005.0 | \n",
- " 3950587.0 | \n",
- " 648311234.0 | \n",
- " 400751.0 | \n",
- " 6243519.0 | \n",
- " 584476427.0 | \n",
- " -3.093005 | \n",
- " \n",
- " \n",
- " | 5966 | \n",
+ " 23788 | \n",
" 1.304243e+19 | \n",
- " 2019-04-24 11:06:41 | \n",
- " 11.0 | \n",
- " 2019-04-25 01:18:42 | \n",
- " 881.0 | \n",
- " 51121.0 | \n",
- " 2.082018e+14 | \n",
- " 3.363890e+10 | \n",
- " 3.591571e+13 | \n",
- " D88443C | \n",
- " ... | \n",
- " 1148916.0 | \n",
- " 3886610.0 | \n",
- " 3495866.0 | \n",
- " 298512002.0 | \n",
- " 313066.0 | \n",
- " 796845662.0 | \n",
- " 22444.0 | \n",
- " 7248354.0 | \n",
- " 326923653.0 | \n",
- " -3.003895 | \n",
- " \n",
- " \n",
- " | 13505 | \n",
+ " 2019-04-24 20:51:05 | \n",
+ " 227.0 | \n",
+ " 2019-04-25 01:12:19 | \n",
+ " 596.0 | \n",
+ " 9.659759 | \n",
+ " 2.082019e+14 | \n",
+ " 3.369881e+10 | \n",
+ " 3.547731e+13 | \n",
+ " T21027C | \n",
+ " ... | \n",
+ " 16.779668 | \n",
+ " 16.273675 | \n",
+ " 15.670774 | \n",
+ " 16.510543 | \n",
+ " 20.177624 | \n",
+ " 14.880406 | \n",
+ " 18.702271 | \n",
+ " 16.591666 | \n",
+ " 17.690164 | \n",
+ " 20.235792 | \n",
+ " \n",
+ " \n",
+ " | 114548 | \n",
+ " 1.304243e+19 | \n",
+ " 2019-04-28 00:23:07 | \n",
+ " 948.0 | \n",
+ " 2019-04-29 00:23:08 | \n",
+ " 50.0 | \n",
+ " 11.366743 | \n",
+ " 2.082019e+14 | \n",
+ " 3.365875e+10 | \n",
+ " 8.679050e+13 | \n",
+ " D77623B | \n",
+ " ... | \n",
+ " 16.155181 | \n",
+ " 15.638723 | \n",
+ " 16.445166 | \n",
+ " 13.377328 | \n",
+ " 20.064560 | \n",
+ " 16.285201 | \n",
+ " 20.141725 | \n",
+ " 16.186980 | \n",
+ " 17.226436 | \n",
+ " 20.121468 | \n",
+ " \n",
+ " \n",
+ " | 71291 | \n",
" 7.349883e+18 | \n",
- " 2019-04-24 18:19:48 | \n",
- " 503.0 | \n",
- " 2019-04-25 00:39:04 | \n",
- " 703.0 | \n",
- " 22756.0 | \n",
+ " 2019-04-26 08:27:11 | \n",
+ " 311.0 | \n",
+ " 2019-04-27 08:20:49 | \n",
+ " 13.0 | \n",
+ " 11.362300 | \n",
" 2.082003e+14 | \n",
- " 3.362051e+10 | \n",
- " 3.569581e+13 | \n",
- " T12736C | \n",
- " ... | \n",
- " 660979.0 | \n",
- " 10982987.0 | \n",
- " 510541.0 | \n",
- " 597148476.0 | \n",
- " 124554.0 | \n",
- " 385902024.0 | \n",
- " 2101782.0 | \n",
- " 4469240.0 | \n",
- " 629949264.0 | \n",
- " -3.250351 | \n",
- " \n",
- " \n",
- " | 15350 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-24 18:53:45 | \n",
- " 213.0 | \n",
- " 2019-04-25 00:37:57 | \n",
- " 769.0 | \n",
- " 20652.0 | \n",
- " 2.082015e+14 | \n",
- " 3.378231e+10 | \n",
- " 3.566301e+13 | \n",
- " D92969C | \n",
- " ... | \n",
- " 20988305.0 | \n",
- " 23231657.0 | \n",
- " 21650146.0 | \n",
- " 350061114.0 | \n",
- " 15792667.0 | \n",
- " 773955089.0 | \n",
- " 15880966.0 | \n",
- " 78331311.0 | \n",
- " 390390788.0 | \n",
- " 3.299847 | \n",
- " \n",
- " \n",
- " | 15901 | \n",
+ " 3.366923e+10 | \n",
+ " 3.556121e+13 | \n",
+ " D96139C | \n",
+ " ... | \n",
+ " 16.457758 | \n",
+ " 15.860395 | \n",
+ " 16.196684 | \n",
+ " 16.431135 | \n",
+ " 19.364600 | \n",
+ " 16.539221 | \n",
+ " 20.470131 | \n",
+ " 12.864253 | \n",
+ " 17.501625 | \n",
+ " 19.474494 | \n",
+ " \n",
+ " \n",
+ " | 30592 | \n",
" 7.349883e+18 | \n",
- " 2019-04-24 19:03:13 | \n",
- " 939.0 | \n",
- " 2019-04-25 02:59:12 | \n",
- " 441.0 | \n",
- " 28558.0 | \n",
- " 2.082017e+14 | \n",
- " 3.366347e+10 | \n",
- " 3.585631e+13 | \n",
- " D92799A | \n",
- " ... | \n",
- " 20590565.0 | \n",
- " 13742934.0 | \n",
- " 21948653.0 | \n",
- " 800409956.0 | \n",
- " 15587551.0 | \n",
- " 706266755.0 | \n",
- " 15354227.0 | \n",
- " 76732208.0 | \n",
- " 844150389.0 | \n",
- " 3.158036 | \n",
- " \n",
- " \n",
- " | 20725 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-24 20:12:55 | \n",
- " 565.0 | \n",
- " 2019-04-25 00:07:33 | \n",
- " 672.0 | \n",
- " 14078.0 | \n",
- " 2.082021e+14 | \n",
- " 3.369956e+10 | \n",
- " 3.577771e+13 | \n",
- " L11847A | \n",
- " ... | \n",
- " 21701832.0 | \n",
- " 16582494.0 | \n",
- " 19337726.0 | \n",
- " 160430857.0 | \n",
- " 14869663.0 | \n",
- " 388880674.0 | \n",
- " 15211788.0 | \n",
- " 75365046.0 | \n",
- " 186303124.0 | \n",
- " 3.036794 | \n",
- " \n",
- " \n",
- " | 22436 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-24 20:34:46 | \n",
- " 297.0 | \n",
- " 2019-04-25 03:00:58 | \n",
- " 781.0 | \n",
- " 23172.0 | \n",
- " 2.082019e+14 | \n",
- " 3.361284e+10 | \n",
- " 3.553951e+13 | \n",
- " D50014C | \n",
- " ... | \n",
- " 266297.0 | \n",
- " 17217180.0 | \n",
- " 1124564.0 | \n",
- " 800071175.0 | \n",
- " 447425.0 | \n",
- " 625768055.0 | \n",
- " 2169741.0 | \n",
- " 4658336.0 | \n",
- " 838044368.0 | \n",
- " -3.233581 | \n",
- " \n",
- " \n",
- " | 26313 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-23 08:48:32 | \n",
- " 528.0 | \n",
- " 2019-04-26 07:01:08 | \n",
- " 862.0 | \n",
- " 252756.0 | \n",
- " 2.082022e+14 | \n",
- " 3.361257e+10 | \n",
- " 3.568081e+13 | \n",
- " D62041C | \n",
- " ... | \n",
- " 726861.0 | \n",
- " 16575342.0 | \n",
- " 422195.0 | \n",
- " 411769456.0 | \n",
- " 1778609.0 | \n",
- " 117400153.0 | \n",
- " 1401294.0 | \n",
- " 6843180.0 | \n",
- " 454620096.0 | \n",
- " -3.039826 | \n",
- " \n",
- " \n",
- " | 26389 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-23 09:12:27 | \n",
- " 842.0 | \n",
- " 2019-04-26 08:48:31 | \n",
- " 311.0 | \n",
- " 257763.0 | \n",
- " 2.082018e+14 | \n",
- " 3.366943e+10 | \n",
- " 3.517151e+13 | \n",
- " D79079B | \n",
- " ... | \n",
- " 1183644.0 | \n",
- " 7796645.0 | \n",
- " 696201.0 | \n",
- " 391946002.0 | \n",
- " 2436772.0 | \n",
- " 394264579.0 | \n",
- " 342643.0 | \n",
- " 5461287.0 | \n",
- " 427447047.0 | \n",
- " -3.162375 | \n",
- " \n",
- " \n",
- " | 29219 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-24 09:48:26 | \n",
- " 966.0 | \n",
- " 2019-04-26 08:14:29 | \n",
- " 879.0 | \n",
- " 167162.0 | \n",
- " 2.082009e+14 | \n",
- " 3.365830e+10 | \n",
- " 3.518231e+13 | \n",
- " D42685C | \n",
- " ... | \n",
- " 20619678.0 | \n",
- " 5230817.0 | \n",
- " 21299696.0 | \n",
- " 314600331.0 | \n",
- " 14142706.0 | \n",
- " 560887770.0 | \n",
- " 15625409.0 | \n",
- " 76106710.0 | \n",
- " 352087447.0 | \n",
- " 3.102566 | \n",
- " \n",
- " \n",
- " | 29755 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-24 10:36:47 | \n",
- " 847.0 | \n",
- " 2019-04-26 08:54:10 | \n",
- " 958.0 | \n",
- " 166643.0 | \n",
- " 2.082019e+14 | \n",
- " 3.378319e+10 | \n",
- " 3.587931e+13 | \n",
- " T41312B | \n",
- " ... | \n",
- " 20137609.0 | \n",
- " 866000.0 | \n",
- " 21474304.0 | \n",
- " 317152462.0 | \n",
- " 14155529.0 | \n",
- " 831365304.0 | \n",
- " 16309970.0 | \n",
- " 75648001.0 | \n",
- " 353354016.0 | \n",
- " 3.061887 | \n",
- " \n",
- " \n",
- " | 30409 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-24 12:23:51 | \n",
- " 728.0 | \n",
- " 2019-04-26 11:01:18 | \n",
- " 625.0 | \n",
- " 167846.0 | \n",
- " 2.082018e+14 | \n",
- " 3.376359e+10 | \n",
- " 3.530271e+13 | \n",
- " D14160C | \n",
- " ... | \n",
- " 17317614.0 | \n",
- " 20656042.0 | \n",
- " 21822819.0 | \n",
- " 273329633.0 | \n",
- " 15726407.0 | \n",
- " 623166944.0 | \n",
- " 16528379.0 | \n",
- " 76160855.0 | \n",
- " 307128081.0 | \n",
- " 3.107368 | \n",
- " \n",
- " \n",
- " | 34321 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-24 23:34:01 | \n",
- " 646.0 | \n",
- " 2019-04-26 15:47:02 | \n",
- " 804.0 | \n",
- " 144781.0 | \n",
- " 2.082015e+14 | \n",
- " 3.363730e+10 | \n",
- " 3.540711e+13 | \n",
- " D50543C | \n",
- " ... | \n",
- " 21082120.0 | \n",
- " 14106171.0 | \n",
- " 19860922.0 | \n",
- " 230277632.0 | \n",
- " 13182794.0 | \n",
- " 668778449.0 | \n",
- " 16361931.0 | \n",
- " 75238657.0 | \n",
- " 253678982.0 | \n",
- " 3.025586 | \n",
- " \n",
- " \n",
- " | 36355 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-25 01:42:02 | \n",
- " 317.0 | \n",
- " 2019-04-26 01:42:02 | \n",
- " 234.0 | \n",
- " 86399.0 | \n",
- " 2.082010e+14 | \n",
- " 3.366294e+10 | \n",
- " 8.637690e+13 | \n",
- " T89914A | \n",
- " ... | \n",
- " 21413889.0 | \n",
- " 4691230.0 | \n",
- " 21559564.0 | \n",
- " 610997024.0 | \n",
- " 14386807.0 | \n",
- " 481947214.0 | \n",
- " 16116881.0 | \n",
- " 76607067.0 | \n",
- " 622140753.0 | \n",
- " 3.146939 | \n",
- " \n",
- " \n",
- " | 36768 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-25 01:57:45 | \n",
- " 910.0 | \n",
- " 2019-04-26 01:57:45 | \n",
- " 851.0 | \n",
- " 86399.0 | \n",
- " 2.082014e+14 | \n",
- " 3.365912e+10 | \n",
- " 8.637690e+13 | \n",
- " T87796B | \n",
- " ... | \n",
- " 691211.0 | \n",
- " 10152821.0 | \n",
- " 1685539.0 | \n",
- " 620688922.0 | \n",
- " 1306797.0 | \n",
- " 507337188.0 | \n",
- " 534689.0 | \n",
- " 6111724.0 | \n",
- " 642173199.0 | \n",
- " -3.104693 | \n",
- " \n",
- " \n",
- " | 37423 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-25 02:21:10 | \n",
- " 225.0 | \n",
- " 2019-04-26 02:21:10 | \n",
- " 250.0 | \n",
- " 86400.0 | \n",
- " 2.082017e+14 | \n",
- " 3.376385e+10 | \n",
- " 8.637690e+13 | \n",
- " T29829B | \n",
- " ... | \n",
- " 1462150.0 | \n",
- " 11084682.0 | \n",
- " 10597.0 | \n",
- " 552850637.0 | \n",
- " 3217653.0 | \n",
- " 196545118.0 | \n",
- " 1004464.0 | \n",
- " 7167136.0 | \n",
- " 569089914.0 | \n",
- " -3.011097 | \n",
- " \n",
- " \n",
- " | 39511 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-25 03:29:42 | \n",
- " 972.0 | \n",
- " 2019-04-26 03:29:42 | \n",
- " 978.0 | \n",
- " 86400.0 | \n",
- " 2.082010e+14 | \n",
- " 3.369986e+10 | \n",
- " 8.637690e+13 | \n",
- " D31798A | \n",
- " ... | \n",
- " 431605.0 | \n",
- " 4343053.0 | \n",
- " 1266277.0 | \n",
- " 557988574.0 | \n",
- " 1090701.0 | \n",
- " 301183835.0 | \n",
- " 160138.0 | \n",
- " 4661082.0 | \n",
- " 571958472.0 | \n",
- " -3.233338 | \n",
- " \n",
- " \n",
- " | 41905 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-25 04:53:05 | \n",
- " 870.0 | \n",
- " 2019-04-26 04:53:05 | \n",
- " 807.0 | \n",
- " 86399.0 | \n",
- " 2.082014e+14 | \n",
- " 3.366769e+10 | \n",
- " 8.637690e+13 | \n",
- " T29714A | \n",
- " ... | \n",
- " 21793981.0 | \n",
- " 15083051.0 | \n",
- " 21099178.0 | \n",
- " 371427543.0 | \n",
- " 15634417.0 | \n",
- " 292324811.0 | \n",
- " 15961972.0 | \n",
- " 76178342.0 | \n",
- " 417622623.0 | \n",
- " 3.108919 | \n",
- " \n",
- " \n",
- " | 45104 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-25 06:45:28 | \n",
- " 835.0 | \n",
- " 2019-04-26 09:12:05 | \n",
- " 581.0 | \n",
- " 95196.0 | \n",
- " 2.082010e+14 | \n",
- " 3.365068e+10 | \n",
- " 8.683890e+13 | \n",
- " T83862B | \n",
- " ... | \n",
- " 922340.0 | \n",
- " 6808243.0 | \n",
- " 2095080.0 | \n",
- " 331975562.0 | \n",
- " 2658529.0 | \n",
- " 693581945.0 | \n",
- " 273782.0 | \n",
- " 7011653.0 | \n",
- " 364687088.0 | \n",
- " -3.024886 | \n",
- " \n",
- " \n",
- " | 51921 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-24 22:34:52 | \n",
- " 465.0 | \n",
- " 2019-04-27 18:28:30 | \n",
- " 80.0 | \n",
- " 244417.0 | \n",
- " 2.082019e+14 | \n",
- " 3.366114e+10 | \n",
- " 3.554221e+13 | \n",
- " T21829A | \n",
- " ... | \n",
- " 1877744.0 | \n",
- " 17194395.0 | \n",
- " 150335.0 | \n",
- " 836899305.0 | \n",
- " 863086.0 | \n",
- " 827850449.0 | \n",
- " 1662487.0 | \n",
- " 7198501.0 | \n",
- " 870348251.0 | \n",
- " -3.008316 | \n",
- " \n",
- " \n",
- " | 52132 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-25 04:14:03 | \n",
- " 376.0 | \n",
- " 2019-04-27 17:30:23 | \n",
- " 974.0 | \n",
- " 220580.0 | \n",
- " 2.082014e+14 | \n",
- " 3.367492e+10 | \n",
- " 8.652440e+13 | \n",
- " T11002B | \n",
- " ... | \n",
- " 21501662.0 | \n",
- " 12156548.0 | \n",
- " 19682682.0 | \n",
- " 840912532.0 | \n",
- " 15082146.0 | \n",
- " 696269355.0 | \n",
- " 14698593.0 | \n",
- " 75112879.0 | \n",
- " 880871897.0 | \n",
- " 3.014432 | \n",
- " \n",
- " \n",
- " | 53066 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-25 08:20:32 | \n",
- " 48.0 | \n",
- " 2019-04-27 08:47:20 | \n",
- " 930.0 | \n",
- " 174408.0 | \n",
- " 2.082019e+14 | \n",
- " 3.366261e+10 | \n",
- " 3.589521e+13 | \n",
- " T87810B | \n",
- " ... | \n",
- " 21162822.0 | \n",
- " 18343666.0 | \n",
- " 20877773.0 | \n",
- " 2117561.0 | \n",
- " 14841553.0 | \n",
- " 447915158.0 | \n",
- " 14650100.0 | \n",
- " 75808098.0 | \n",
- " 59042083.0 | \n",
- " 3.076085 | \n",
- " \n",
- " \n",
- " | 55665 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-25 16:03:18 | \n",
- " 727.0 | \n",
- " 2019-04-27 07:36:25 | \n",
- " 500.0 | \n",
- " 142386.0 | \n",
- " 2.082018e+14 | \n",
- " 3.376350e+10 | \n",
- " 3.536861e+13 | \n",
- " D50127C | \n",
- " ... | \n",
- " 1747708.0 | \n",
- " 523391.0 | \n",
- " 437343.0 | \n",
- " 508615866.0 | \n",
- " 1918893.0 | \n",
- " 405215967.0 | \n",
- " 1152874.0 | \n",
- " 6762964.0 | \n",
- " 533376978.0 | \n",
- " -3.046940 | \n",
- " \n",
- " \n",
- " | 55924 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-25 16:43:26 | \n",
- " 619.0 | \n",
- " 2019-04-27 16:01:33 | \n",
- " 365.0 | \n",
- " 170286.0 | \n",
- " 2.082021e+14 | \n",
- " 3.365901e+10 | \n",
- " 3.533301e+13 | \n",
- " D93483C | \n",
- " ... | \n",
- " 1013527.0 | \n",
- " 3027604.0 | \n",
- " 1286830.0 | \n",
- " 662680677.0 | \n",
- " 371258.0 | \n",
- " 36984784.0 | \n",
- " 2872923.0 | \n",
- " 7258965.0 | \n",
- " 685418623.0 | \n",
- " -3.002954 | \n",
- " \n",
- " \n",
- " | 65994 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-26 07:32:50 | \n",
- " 44.0 | \n",
- " 2019-04-27 09:40:33 | \n",
- " 608.0 | \n",
- " 94063.0 | \n",
- " 2.082014e+14 | \n",
- " 3.362162e+10 | \n",
- " 3.591441e+13 | \n",
- " T72365C | \n",
- " ... | \n",
- " 20630988.0 | \n",
- " 132198.0 | \n",
- " 21648599.0 | \n",
- " 817348789.0 | \n",
- " 14295487.0 | \n",
- " 438428921.0 | \n",
- " 15145339.0 | \n",
- " 75675867.0 | \n",
- " 820146774.0 | \n",
- " 3.064359 | \n",
- " \n",
- " \n",
- " | 67489 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-26 07:45:36 | \n",
- " 486.0 | \n",
- " 2019-04-27 07:45:36 | \n",
- " 483.0 | \n",
- " 86399.0 | \n",
- " 2.082018e+14 | \n",
- " 3.365958e+10 | \n",
- " 8.637690e+13 | \n",
- " D89189B | \n",
- " ... | \n",
- " 2145889.0 | \n",
- " 2884474.0 | \n",
- " 1757001.0 | \n",
- " 755942042.0 | \n",
- " 792953.0 | \n",
- " 418986222.0 | \n",
- " 391925.0 | \n",
- " 6150268.0 | \n",
- " 780687157.0 | \n",
- " -3.101275 | \n",
- " \n",
- " \n",
- " | 76325 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-27 00:21:15 | \n",
- " 125.0 | \n",
- " 2019-04-28 00:21:05 | \n",
- " 456.0 | \n",
- " 86390.0 | \n",
- " 2.082003e+14 | \n",
- " 3.364709e+10 | \n",
- " 3.572891e+13 | \n",
- " D27389A | \n",
- " ... | \n",
- " 20940254.0 | \n",
- " 13808364.0 | \n",
- " 20761208.0 | \n",
- " 44744669.0 | \n",
- " 15735898.0 | \n",
- " 282353222.0 | \n",
- " 16377689.0 | \n",
- " 76012662.0 | \n",
- " 80074706.0 | \n",
- " 3.094226 | \n",
- " \n",
- " \n",
- " | 76564 | \n",
- " 6.917538e+18 | \n",
- " 2019-04-27 00:55:20 | \n",
- " 849.0 | \n",
- " 2019-04-28 00:55:12 | \n",
- " 125.0 | \n",
- " 86391.0 | \n",
- " 2.082010e+14 | \n",
- " 3.366189e+10 | \n",
- " 3.569901e+13 | \n",
- " U89655C | \n",
- " ... | \n",
- " 451651.0 | \n",
- " 9107194.0 | \n",
- " 265037.0 | \n",
- " 149790579.0 | \n",
- " 1985982.0 | \n",
- " 295434009.0 | \n",
- " 2108989.0 | \n",
- " 5921981.0 | \n",
- " 178843933.0 | \n",
- " -3.121519 | \n",
- " \n",
- " \n",
- " | 76583 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-27 00:59:09 | \n",
- " 58.0 | \n",
- " 2019-04-28 00:59:09 | \n",
- " 52.0 | \n",
- " 86399.0 | \n",
- " 2.082014e+14 | \n",
- " 3.361997e+10 | \n",
- " 8.662190e+13 | \n",
- " D10426B | \n",
- " ... | \n",
- " 1130335.0 | \n",
- " 20495004.0 | \n",
- " 996089.0 | \n",
- " 22588294.0 | \n",
- " 279649.0 | \n",
- " 58189161.0 | \n",
- " 72908.0 | \n",
- " 5568418.0 | \n",
- " 79770986.0 | \n",
- " -3.152874 | \n",
- " \n",
- " \n",
- " | 80771 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-27 08:36:14 | \n",
- " 629.0 | \n",
- " 2019-04-28 01:04:57 | \n",
- " 627.0 | \n",
- " 59322.0 | \n",
- " 2.082015e+14 | \n",
- " 3.364897e+10 | \n",
- " 3.576541e+13 | \n",
- " L10990C | \n",
- " ... | \n",
- " 21327215.0 | \n",
- " 1555698.0 | \n",
- " 19611751.0 | \n",
- " 450587963.0 | \n",
- " 15989751.0 | \n",
- " 221289667.0 | \n",
- " 15787570.0 | \n",
- " 76902276.0 | \n",
- " 465637863.0 | \n",
- " 3.173118 | \n",
- " \n",
- " \n",
- " | 83211 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-27 10:21:24 | \n",
- " 848.0 | \n",
- " 2019-04-28 00:16:03 | \n",
- " 223.0 | \n",
- " 50078.0 | \n",
- " 2.082019e+14 | \n",
- " 3.367284e+10 | \n",
- " 3.576311e+13 | \n",
- " D17511B | \n",
- " ... | \n",
- " 20789736.0 | \n",
- " 20934470.0 | \n",
- " 21600102.0 | \n",
- " 672209315.0 | \n",
- " 14684008.0 | \n",
- " 291939818.0 | \n",
- " 15605684.0 | \n",
- " 77157382.0 | \n",
- " 700942074.0 | \n",
- " 3.195741 | \n",
- " \n",
- " \n",
- " | 85120 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-27 11:21:23 | \n",
- " 584.0 | \n",
- " 2019-04-28 01:00:21 | \n",
- " 867.0 | \n",
- " 49138.0 | \n",
- " 2.082019e+14 | \n",
- " 3.366059e+10 | \n",
- " 3.590391e+13 | \n",
- " D79707C | \n",
- " ... | \n",
- " 295586.0 | \n",
- " 313477.0 | \n",
- " 859986.0 | \n",
- " 232510591.0 | \n",
- " 1981724.0 | \n",
- " 650229250.0 | \n",
- " 2508439.0 | \n",
- " 6900733.0 | \n",
- " 247863073.0 | \n",
- " -3.034722 | \n",
- " \n",
- " \n",
- " | 86556 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-27 12:16:22 | \n",
- " 447.0 | \n",
- " 2019-04-28 05:13:54 | \n",
- " 425.0 | \n",
- " 61051.0 | \n",
- " 2.082015e+14 | \n",
- " 3.366155e+10 | \n",
- " 8.662480e+13 | \n",
- " T77686B | \n",
- " ... | \n",
- " 19722578.0 | \n",
- " 18670947.0 | \n",
- " 20364218.0 | \n",
- " 517792849.0 | \n",
- " 16429849.0 | \n",
- " 207690814.0 | \n",
- " 15129525.0 | \n",
- " 76339088.0 | \n",
- " 545163569.0 | \n",
- " 3.123174 | \n",
- " \n",
- " \n",
- " | 90000 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-27 14:14:38 | \n",
- " 265.0 | \n",
- " 2019-04-28 00:33:09 | \n",
- " 566.0 | \n",
- " 37111.0 | \n",
- " 2.082003e+14 | \n",
- " 3.366737e+10 | \n",
- " 3.543611e+13 | \n",
- " T72248C | \n",
- " ... | \n",
- " 746678.0 | \n",
- " 19765194.0 | \n",
- " 1793681.0 | \n",
- " 652969002.0 | \n",
- " 307815.0 | \n",
- " 225034616.0 | \n",
- " 3083488.0 | \n",
- " 7119319.0 | \n",
- " 693869533.0 | \n",
- " -3.015338 | \n",
- " \n",
- " \n",
- " | 90370 | \n",
- " 6.917538e+18 | \n",
- " 2019-04-27 14:22:31 | \n",
- " 727.0 | \n",
- " 2019-04-28 06:22:31 | \n",
- " 675.0 | \n",
- " 57599.0 | \n",
- " 2.082015e+14 | \n",
- " 3.376042e+10 | \n",
- " 3.569771e+13 | \n",
- " G74073B | \n",
- " ... | \n",
- " 2446517.0 | \n",
- " 4935051.0 | \n",
- " 938399.0 | \n",
- " 344832862.0 | \n",
- " 2259559.0 | \n",
- " 379705049.0 | \n",
- " 81830.0 | \n",
- " 6078096.0 | \n",
- " 363751473.0 | \n",
- " -3.107675 | \n",
- " \n",
- " \n",
- " | 94398 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-27 16:02:18 | \n",
- " 631.0 | \n",
- " 2019-04-28 00:30:33 | \n",
- " 450.0 | \n",
- " 30494.0 | \n",
- " 2.082017e+14 | \n",
- " 3.362931e+10 | \n",
- " 3.548291e+13 | \n",
- " T85894A | \n",
- " ... | \n",
- " 21496079.0 | \n",
- " 12651041.0 | \n",
- " 20241581.0 | \n",
- " 438852834.0 | \n",
- " 16159797.0 | \n",
- " 126291218.0 | \n",
- " 15668536.0 | \n",
- " 77458132.0 | \n",
- " 477823073.0 | \n",
- " 3.222412 | \n",
- " \n",
- " \n",
- " | 96242 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-27 16:35:07 | \n",
- " 802.0 | \n",
- " 2019-04-27 23:25:27 | \n",
- " 997.0 | \n",
- " 24620.0 | \n",
- " 2.082015e+14 | \n",
- " 3.368391e+10 | \n",
- " 3.552331e+13 | \n",
- " 9164566995485180 | \n",
- " ... | \n",
- " 1531847.0 | \n",
- " 4052737.0 | \n",
- " 3024031.0 | \n",
- " 341070930.0 | \n",
- " 1065895.0 | \n",
- " 135046568.0 | \n",
- " 964344.0 | \n",
- " 7139912.0 | \n",
- " 374251050.0 | \n",
- " -3.013512 | \n",
- " \n",
- " \n",
- " | 102830 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-26 19:59:00 | \n",
- " 379.0 | \n",
- " 2019-04-29 13:16:30 | \n",
- " 292.0 | \n",
- " 235049.0 | \n",
- " 2.082009e+14 | \n",
- " 3.365905e+10 | \n",
- " 3.591441e+13 | \n",
- " T10381B | \n",
- " ... | \n",
- " 422205.0 | \n",
- " 5283196.0 | \n",
- " 1025760.0 | \n",
- " 41717494.0 | \n",
- " 1375358.0 | \n",
- " 31377531.0 | \n",
- " 918699.0 | \n",
- " 5276726.0 | \n",
- " 55757301.0 | \n",
- " -3.178742 | \n",
- " \n",
- " \n",
- " | 108412 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-27 15:20:49 | \n",
- " 248.0 | \n",
- " 2019-04-29 08:14:03 | \n",
- " 875.0 | \n",
- " 147194.0 | \n",
- " 2.082010e+14 | \n",
- " 3.366708e+10 | \n",
- " 3.561341e+13 | \n",
- " D14322C | \n",
- " ... | \n",
- " 294283.0 | \n",
- " 21219098.0 | \n",
- " 2819248.0 | \n",
- " 266971391.0 | \n",
- " 478796.0 | \n",
- " 407859428.0 | \n",
- " 1483131.0 | \n",
- " 5974147.0 | \n",
- " 321306245.0 | \n",
- " -3.116893 | \n",
- " \n",
- " \n",
- " | 114664 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-28 00:27:15 | \n",
- " 859.0 | \n",
- " 2019-04-29 07:33:28 | \n",
- " 895.0 | \n",
- " 111973.0 | \n",
- " 2.082010e+14 | \n",
- " 3.360781e+10 | \n",
- " 3.564571e+13 | \n",
- " T88982A | \n",
- " ... | \n",
- " 19075571.0 | \n",
- " 5910454.0 | \n",
- " 19379045.0 | \n",
- " 720042501.0 | \n",
- " 15819340.0 | \n",
- " 305009201.0 | \n",
- " 16551142.0 | \n",
- " 75788572.0 | \n",
- " 748942430.0 | \n",
- " 3.074353 | \n",
- " \n",
- " \n",
- " | 114831 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-28 00:33:02 | \n",
- " 29.0 | \n",
- " 2019-04-29 08:21:12 | \n",
- " 592.0 | \n",
- " 114490.0 | \n",
- " 2.082019e+14 | \n",
- " 3.369815e+10 | \n",
- " 3.575751e+13 | \n",
- " T89146C | \n",
- " ... | \n",
- " 636385.0 | \n",
- " 9870521.0 | \n",
- " 417285.0 | \n",
- " 652577247.0 | \n",
- " 25882.0 | \n",
- " 467173189.0 | \n",
- " 434054.0 | \n",
- " 2866892.0 | \n",
- " 683088939.0 | \n",
- " -3.392449 | \n",
- " \n",
- " \n",
- " | 116370 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-28 01:27:23 | \n",
- " 188.0 | \n",
- " 2019-04-29 00:18:08 | \n",
- " 955.0 | \n",
- " 82245.0 | \n",
- " 2.082015e+14 | \n",
- " 3.366468e+10 | \n",
- " 3.592811e+13 | \n",
- " D52917A | \n",
- " ... | \n",
- " 1982781.0 | \n",
- " 16571558.0 | \n",
- " 682529.0 | \n",
- " 512920823.0 | \n",
- " 190075.0 | \n",
- " 655134655.0 | \n",
- " 710952.0 | \n",
- " 4338786.0 | \n",
- " 552837143.0 | \n",
- " -3.261920 | \n",
- " \n",
- " \n",
- " | 117030 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-28 01:49:37 | \n",
- " 884.0 | \n",
- " 2019-04-29 01:49:37 | \n",
- " 773.0 | \n",
- " 86399.0 | \n",
- " 2.082014e+14 | \n",
- " 3.365904e+10 | \n",
- " 8.637690e+13 | \n",
- " L77140A | \n",
- " ... | \n",
- " 20187059.0 | \n",
- " 19040736.0 | \n",
- " 20564925.0 | \n",
- " 51755481.0 | \n",
- " 15696855.0 | \n",
- " 175840538.0 | \n",
- " 16235872.0 | \n",
- " 75060463.0 | \n",
- " 106584068.0 | \n",
- " 3.009784 | \n",
- " \n",
- " \n",
- " | 121660 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-28 04:26:35 | \n",
- " 317.0 | \n",
- " 2019-04-29 09:50:29 | \n",
- " 835.0 | \n",
- " 105834.0 | \n",
- " 2.082017e+14 | \n",
- " 3.360681e+10 | \n",
- " 3.567631e+13 | \n",
- " D93078B | \n",
- " ... | \n",
- " 668926.0 | \n",
- " 3761746.0 | \n",
- " 1228328.0 | \n",
- " 264750897.0 | \n",
- " 3116590.0 | \n",
- " 232275774.0 | \n",
- " 933180.0 | \n",
- " 6987876.0 | \n",
- " 293119110.0 | \n",
- " -3.026994 | \n",
- " \n",
- " \n",
- " | 127773 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-28 00:12:27 | \n",
- " 667.0 | \n",
- " 2019-04-30 06:40:42 | \n",
- " 64.0 | \n",
- " 196094.0 | \n",
- " 2.082017e+14 | \n",
- " 3.363110e+10 | \n",
- " 3.520881e+13 | \n",
- " L70873A | \n",
- " ... | \n",
- " 21633973.0 | \n",
- " 17320452.0 | \n",
- " 20196141.0 | \n",
- " 118166164.0 | \n",
- " 16399651.0 | \n",
- " 112656807.0 | \n",
- " 14814488.0 | \n",
- " 77390291.0 | \n",
- " 165432318.0 | \n",
- " 3.216396 | \n",
- " \n",
- " \n",
- " | 128371 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-28 07:07:43 | \n",
- " 334.0 | \n",
- " 2019-04-30 08:18:27 | \n",
- " 545.0 | \n",
- " 177044.0 | \n",
- " 2.082010e+14 | \n",
- " 3.362751e+10 | \n",
- " 3.528011e+13 | \n",
- " L53526C | \n",
- " ... | \n",
- " 20824619.0 | \n",
- " 21930816.0 | \n",
- " 21070992.0 | \n",
- " 71265855.0 | \n",
- " 14663055.0 | \n",
- " 414313423.0 | \n",
- " 14800780.0 | \n",
- " 76066739.0 | \n",
- " 117616287.0 | \n",
- " 3.099022 | \n",
- " \n",
- " \n",
- " | 135120 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-28 22:50:15 | \n",
- " 789.0 | \n",
- " 2019-04-30 08:16:20 | \n",
- " 237.0 | \n",
- " 120364.0 | \n",
- " 2.082017e+14 | \n",
- " 3.366134e+10 | \n",
- " 3.558771e+13 | \n",
- " L11845A | \n",
- " ... | \n",
- " 17178120.0 | \n",
- " 5293654.0 | \n",
- " 21316578.0 | \n",
- " 636531933.0 | \n",
- " 15525933.0 | \n",
- " 34761089.0 | \n",
- " 16170973.0 | \n",
- " 74984241.0 | \n",
- " 655338405.0 | \n",
- " 3.003024 | \n",
- " \n",
- " \n",
- " | 138199 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-29 02:11:42 | \n",
- " 650.0 | \n",
- " 2019-04-30 02:11:42 | \n",
- " 728.0 | \n",
- " 86400.0 | \n",
- " 2.082018e+14 | \n",
- " 3.369938e+10 | \n",
- " 8.637690e+13 | \n",
- " D83857C | \n",
- " ... | \n",
- " 21585599.0 | \n",
- " 214885.0 | \n",
- " 19285858.0 | \n",
- " 604268236.0 | \n",
- " 14844763.0 | \n",
- " 750659200.0 | \n",
- " 15766681.0 | \n",
- " 75825266.0 | \n",
- " 640308498.0 | \n",
- " 3.077607 | \n",
- " \n",
- " \n",
- " | 141413 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-29 04:03:20 | \n",
- " 269.0 | \n",
- " 2019-04-30 04:03:20 | \n",
- " 230.0 | \n",
- " 86399.0 | \n",
- " 2.082009e+14 | \n",
- " 3.365880e+10 | \n",
- " 3.533251e+13 | \n",
- " 9164567011319310 | \n",
- " ... | \n",
- " 21542572.0 | \n",
- " 13830009.0 | \n",
- " 21208833.0 | \n",
- " 577270131.0 | \n",
- " 15454924.0 | \n",
- " 473605493.0 | \n",
- " 13943265.0 | \n",
- " 76052422.0 | \n",
- " 616247021.0 | \n",
- " 3.097752 | \n",
- " \n",
- " \n",
- " | 142425 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-29 04:30:32 | \n",
- " 414.0 | \n",
- " 2019-04-30 04:30:32 | \n",
- " 341.0 | \n",
- " 86399.0 | \n",
- " 2.082017e+14 | \n",
- " 3.376147e+10 | \n",
- " 3.529891e+13 | \n",
- " D10694A | \n",
- " ... | \n",
- " 915605.0 | \n",
- " 5056905.0 | \n",
- " 451320.0 | \n",
- " 699767945.0 | \n",
- " 1620291.0 | \n",
- " 677699897.0 | \n",
- " 2248238.0 | \n",
- " 6852277.0 | \n",
- " 733551675.0 | \n",
- " -3.039019 | \n",
- " \n",
- " \n",
- " | 142471 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-29 04:31:46 | \n",
- " 201.0 | \n",
- " 2019-04-30 12:33:00 | \n",
- " 514.0 | \n",
- " 115274.0 | \n",
- " 2.082018e+14 | \n",
- " 3.364726e+10 | \n",
- " 3.573621e+13 | \n",
- " T89879C | \n",
- " ... | \n",
- " 20720550.0 | \n",
- " 14363392.0 | \n",
- " 21357789.0 | \n",
- " 647538146.0 | \n",
- " 15292310.0 | \n",
- " 613992062.0 | \n",
- " 15469124.0 | \n",
- " 75715253.0 | \n",
- " 671474309.0 | \n",
- " 3.067851 | \n",
- " \n",
- " \n",
- " | 142514 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-29 04:32:36 | \n",
- " 461.0 | \n",
- " 2019-04-30 16:56:00 | \n",
- " 418.0 | \n",
- " 131003.0 | \n",
- " 2.082015e+14 | \n",
- " 3.369842e+10 | \n",
- " 8.690980e+13 | \n",
- " D50549B | \n",
- " ... | \n",
- " 20091617.0 | \n",
- " 10623504.0 | \n",
- " 21769536.0 | \n",
- " 760997630.0 | \n",
- " 15484064.0 | \n",
- " 731001647.0 | \n",
- " 13786362.0 | \n",
- " 75649033.0 | \n",
- " 790107607.0 | \n",
- " 3.061979 | \n",
- " \n",
- " \n",
- " | 142544 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-29 04:33:18 | \n",
- " 52.0 | \n",
- " 2019-04-30 04:33:18 | \n",
- " 24.0 | \n",
- " 86399.0 | \n",
- " 2.082018e+14 | \n",
- " 3.369818e+10 | \n",
- " 8.637690e+13 | \n",
- " D21095B | \n",
- " ... | \n",
- " 20508375.0 | \n",
- " 21768377.0 | \n",
- " 21836642.0 | \n",
- " 780258014.0 | \n",
- " 14536116.0 | \n",
- " 716715935.0 | \n",
- " 16481850.0 | \n",
- " 76667292.0 | \n",
- " 818883063.0 | \n",
- " 3.152280 | \n",
- " \n",
- " \n",
- " | 143077 | \n",
- " 6.917538e+18 | \n",
- " 2019-04-29 04:47:06 | \n",
- " 227.0 | \n",
- " 2019-04-30 04:45:31 | \n",
- " 647.0 | \n",
- " 86305.0 | \n",
- " 2.082017e+14 | \n",
- " 3.366008e+10 | \n",
- " 1.353300e+12 | \n",
- " G20917C | \n",
- " ... | \n",
- " 1736827.0 | \n",
- " 5005101.0 | \n",
- " 3002643.0 | \n",
- " 458295806.0 | \n",
- " 168849.0 | \n",
- " 141067541.0 | \n",
- " 142036.0 | \n",
- " 6130740.0 | \n",
- " 477762586.0 | \n",
- " -3.103006 | \n",
- " \n",
- " \n",
- " | 149500 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-29 07:23:45 | \n",
- " 311.0 | \n",
- " 2019-04-30 18:23:39 | \n",
- " 454.0 | \n",
- " 125994.0 | \n",
- " 2.082021e+14 | \n",
- " 3.368630e+10 | \n",
- " 3.593101e+13 | \n",
- " D11837B | \n",
- " ... | \n",
- " 20478032.0 | \n",
- " 3361021.0 | \n",
- " 21185346.0 | \n",
- " 514665131.0 | \n",
- " 15843922.0 | \n",
- " 289552662.0 | \n",
- " 15612647.0 | \n",
- " 76916429.0 | \n",
- " 537126512.0 | \n",
- " 3.174373 | \n",
- " \n",
- " \n",
- "\n",
- "55 rows × 46 columns \n",
- ""
- ],
- "text/plain": [
- " bearer_id start start_ms end \\\n",
- "4419 1.311448e+19 2019-04-24 08:00:27 693.0 2019-04-25 00:25:03 \n",
- "5966 1.304243e+19 2019-04-24 11:06:41 11.0 2019-04-25 01:18:42 \n",
- "13505 7.349883e+18 2019-04-24 18:19:48 503.0 2019-04-25 00:39:04 \n",
- "15350 1.304243e+19 2019-04-24 18:53:45 213.0 2019-04-25 00:37:57 \n",
- "15901 7.349883e+18 2019-04-24 19:03:13 939.0 2019-04-25 02:59:12 \n",
- "20725 7.277826e+18 2019-04-24 20:12:55 565.0 2019-04-25 00:07:33 \n",
- "22436 7.349883e+18 2019-04-24 20:34:46 297.0 2019-04-25 03:00:58 \n",
- "26313 7.349883e+18 2019-04-23 08:48:32 528.0 2019-04-26 07:01:08 \n",
- "26389 7.277826e+18 2019-04-23 09:12:27 842.0 2019-04-26 08:48:31 \n",
- "29219 1.311448e+19 2019-04-24 09:48:26 966.0 2019-04-26 08:14:29 \n",
- "29755 1.311448e+19 2019-04-24 10:36:47 847.0 2019-04-26 08:54:10 \n",
- "30409 7.349883e+18 2019-04-24 12:23:51 728.0 2019-04-26 11:01:18 \n",
- "34321 7.277826e+18 2019-04-24 23:34:01 646.0 2019-04-26 15:47:02 \n",
- "36355 1.304243e+19 2019-04-25 01:42:02 317.0 2019-04-26 01:42:02 \n",
- "36768 7.277826e+18 2019-04-25 01:57:45 910.0 2019-04-26 01:57:45 \n",
- "37423 1.304243e+19 2019-04-25 02:21:10 225.0 2019-04-26 02:21:10 \n",
- "39511 1.304243e+19 2019-04-25 03:29:42 972.0 2019-04-26 03:29:42 \n",
- "41905 1.304243e+19 2019-04-25 04:53:05 870.0 2019-04-26 04:53:05 \n",
- "45104 1.311448e+19 2019-04-25 06:45:28 835.0 2019-04-26 09:12:05 \n",
- "51921 7.349883e+18 2019-04-24 22:34:52 465.0 2019-04-27 18:28:30 \n",
- "52132 1.311448e+19 2019-04-25 04:14:03 376.0 2019-04-27 17:30:23 \n",
- "53066 7.349883e+18 2019-04-25 08:20:32 48.0 2019-04-27 08:47:20 \n",
- "55665 1.304243e+19 2019-04-25 16:03:18 727.0 2019-04-27 07:36:25 \n",
- "55924 7.277826e+18 2019-04-25 16:43:26 619.0 2019-04-27 16:01:33 \n",
- "65994 1.311448e+19 2019-04-26 07:32:50 44.0 2019-04-27 09:40:33 \n",
- "67489 7.277826e+18 2019-04-26 07:45:36 486.0 2019-04-27 07:45:36 \n",
- "76325 7.277826e+18 2019-04-27 00:21:15 125.0 2019-04-28 00:21:05 \n",
- "76564 6.917538e+18 2019-04-27 00:55:20 849.0 2019-04-28 00:55:12 \n",
- "76583 7.277826e+18 2019-04-27 00:59:09 58.0 2019-04-28 00:59:09 \n",
- "80771 7.277826e+18 2019-04-27 08:36:14 629.0 2019-04-28 01:04:57 \n",
- "83211 7.349883e+18 2019-04-27 10:21:24 848.0 2019-04-28 00:16:03 \n",
- "85120 1.311448e+19 2019-04-27 11:21:23 584.0 2019-04-28 01:00:21 \n",
- "86556 7.277826e+18 2019-04-27 12:16:22 447.0 2019-04-28 05:13:54 \n",
- "90000 1.304243e+19 2019-04-27 14:14:38 265.0 2019-04-28 00:33:09 \n",
- "90370 6.917538e+18 2019-04-27 14:22:31 727.0 2019-04-28 06:22:31 \n",
- "94398 7.277826e+18 2019-04-27 16:02:18 631.0 2019-04-28 00:30:33 \n",
- "96242 1.304243e+19 2019-04-27 16:35:07 802.0 2019-04-27 23:25:27 \n",
- "102830 7.349883e+18 2019-04-26 19:59:00 379.0 2019-04-29 13:16:30 \n",
- "108412 7.349883e+18 2019-04-27 15:20:49 248.0 2019-04-29 08:14:03 \n",
- "114664 1.311448e+19 2019-04-28 00:27:15 859.0 2019-04-29 07:33:28 \n",
- "114831 7.349883e+18 2019-04-28 00:33:02 29.0 2019-04-29 08:21:12 \n",
- "116370 1.304243e+19 2019-04-28 01:27:23 188.0 2019-04-29 00:18:08 \n",
- "117030 7.277826e+18 2019-04-28 01:49:37 884.0 2019-04-29 01:49:37 \n",
- "121660 7.349883e+18 2019-04-28 04:26:35 317.0 2019-04-29 09:50:29 \n",
- "127773 1.311448e+19 2019-04-28 00:12:27 667.0 2019-04-30 06:40:42 \n",
- "128371 1.311448e+19 2019-04-28 07:07:43 334.0 2019-04-30 08:18:27 \n",
- "135120 7.349883e+18 2019-04-28 22:50:15 789.0 2019-04-30 08:16:20 \n",
- "138199 1.304243e+19 2019-04-29 02:11:42 650.0 2019-04-30 02:11:42 \n",
- "141413 1.304243e+19 2019-04-29 04:03:20 269.0 2019-04-30 04:03:20 \n",
- "142425 7.277826e+18 2019-04-29 04:30:32 414.0 2019-04-30 04:30:32 \n",
- "142471 1.311448e+19 2019-04-29 04:31:46 201.0 2019-04-30 12:33:00 \n",
- "142514 7.349883e+18 2019-04-29 04:32:36 461.0 2019-04-30 16:56:00 \n",
- "142544 1.304243e+19 2019-04-29 04:33:18 52.0 2019-04-30 04:33:18 \n",
- "143077 6.917538e+18 2019-04-29 04:47:06 227.0 2019-04-30 04:45:31 \n",
- "149500 7.349883e+18 2019-04-29 07:23:45 311.0 2019-04-30 18:23:39 \n",
- "\n",
- " end_ms dur._(ms) imsi msisdn/number imei \\\n",
- "4419 243.0 59075.0 2.082015e+14 3.365009e+10 3.526021e+13 \n",
- "5966 881.0 51121.0 2.082018e+14 3.363890e+10 3.591571e+13 \n",
- "13505 703.0 22756.0 2.082003e+14 3.362051e+10 3.569581e+13 \n",
- "15350 769.0 20652.0 2.082015e+14 3.378231e+10 3.566301e+13 \n",
- "15901 441.0 28558.0 2.082017e+14 3.366347e+10 3.585631e+13 \n",
- "20725 672.0 14078.0 2.082021e+14 3.369956e+10 3.577771e+13 \n",
- "22436 781.0 23172.0 2.082019e+14 3.361284e+10 3.553951e+13 \n",
- "26313 862.0 252756.0 2.082022e+14 3.361257e+10 3.568081e+13 \n",
- "26389 311.0 257763.0 2.082018e+14 3.366943e+10 3.517151e+13 \n",
- "29219 879.0 167162.0 2.082009e+14 3.365830e+10 3.518231e+13 \n",
- "29755 958.0 166643.0 2.082019e+14 3.378319e+10 3.587931e+13 \n",
- "30409 625.0 167846.0 2.082018e+14 3.376359e+10 3.530271e+13 \n",
- "34321 804.0 144781.0 2.082015e+14 3.363730e+10 3.540711e+13 \n",
- "36355 234.0 86399.0 2.082010e+14 3.366294e+10 8.637690e+13 \n",
- "36768 851.0 86399.0 2.082014e+14 3.365912e+10 8.637690e+13 \n",
- "37423 250.0 86400.0 2.082017e+14 3.376385e+10 8.637690e+13 \n",
- "39511 978.0 86400.0 2.082010e+14 3.369986e+10 8.637690e+13 \n",
- "41905 807.0 86399.0 2.082014e+14 3.366769e+10 8.637690e+13 \n",
- "45104 581.0 95196.0 2.082010e+14 3.365068e+10 8.683890e+13 \n",
- "51921 80.0 244417.0 2.082019e+14 3.366114e+10 3.554221e+13 \n",
- "52132 974.0 220580.0 2.082014e+14 3.367492e+10 8.652440e+13 \n",
- "53066 930.0 174408.0 2.082019e+14 3.366261e+10 3.589521e+13 \n",
- "55665 500.0 142386.0 2.082018e+14 3.376350e+10 3.536861e+13 \n",
- "55924 365.0 170286.0 2.082021e+14 3.365901e+10 3.533301e+13 \n",
- "65994 608.0 94063.0 2.082014e+14 3.362162e+10 3.591441e+13 \n",
- "67489 483.0 86399.0 2.082018e+14 3.365958e+10 8.637690e+13 \n",
- "76325 456.0 86390.0 2.082003e+14 3.364709e+10 3.572891e+13 \n",
- "76564 125.0 86391.0 2.082010e+14 3.366189e+10 3.569901e+13 \n",
- "76583 52.0 86399.0 2.082014e+14 3.361997e+10 8.662190e+13 \n",
- "80771 627.0 59322.0 2.082015e+14 3.364897e+10 3.576541e+13 \n",
- "83211 223.0 50078.0 2.082019e+14 3.367284e+10 3.576311e+13 \n",
- "85120 867.0 49138.0 2.082019e+14 3.366059e+10 3.590391e+13 \n",
- "86556 425.0 61051.0 2.082015e+14 3.366155e+10 8.662480e+13 \n",
- "90000 566.0 37111.0 2.082003e+14 3.366737e+10 3.543611e+13 \n",
- "90370 675.0 57599.0 2.082015e+14 3.376042e+10 3.569771e+13 \n",
- "94398 450.0 30494.0 2.082017e+14 3.362931e+10 3.548291e+13 \n",
- "96242 997.0 24620.0 2.082015e+14 3.368391e+10 3.552331e+13 \n",
- "102830 292.0 235049.0 2.082009e+14 3.365905e+10 3.591441e+13 \n",
- "108412 875.0 147194.0 2.082010e+14 3.366708e+10 3.561341e+13 \n",
- "114664 895.0 111973.0 2.082010e+14 3.360781e+10 3.564571e+13 \n",
- "114831 592.0 114490.0 2.082019e+14 3.369815e+10 3.575751e+13 \n",
- "116370 955.0 82245.0 2.082015e+14 3.366468e+10 3.592811e+13 \n",
- "117030 773.0 86399.0 2.082014e+14 3.365904e+10 8.637690e+13 \n",
- "121660 835.0 105834.0 2.082017e+14 3.360681e+10 3.567631e+13 \n",
- "127773 64.0 196094.0 2.082017e+14 3.363110e+10 3.520881e+13 \n",
- "128371 545.0 177044.0 2.082010e+14 3.362751e+10 3.528011e+13 \n",
- "135120 237.0 120364.0 2.082017e+14 3.366134e+10 3.558771e+13 \n",
- "138199 728.0 86400.0 2.082018e+14 3.369938e+10 8.637690e+13 \n",
- "141413 230.0 86399.0 2.082009e+14 3.365880e+10 3.533251e+13 \n",
- "142425 341.0 86399.0 2.082017e+14 3.376147e+10 3.529891e+13 \n",
- "142471 514.0 115274.0 2.082018e+14 3.364726e+10 3.573621e+13 \n",
- "142514 418.0 131003.0 2.082015e+14 3.369842e+10 8.690980e+13 \n",
- "142544 24.0 86399.0 2.082018e+14 3.369818e+10 8.637690e+13 \n",
- "143077 647.0 86305.0 2.082017e+14 3.366008e+10 1.353300e+12 \n",
- "149500 454.0 125994.0 2.082021e+14 3.368630e+10 3.593101e+13 \n",
- "\n",
- " last_location_name ... youtube_ul_(bytes) netflix_dl_(bytes) \\\n",
- "4419 D74540B ... 91712.0 12259837.0 \n",
- "5966 D88443C ... 1148916.0 3886610.0 \n",
- "13505 T12736C ... 660979.0 10982987.0 \n",
- "15350 D92969C ... 20988305.0 23231657.0 \n",
- "15901 D92799A ... 20590565.0 13742934.0 \n",
- "20725 L11847A ... 21701832.0 16582494.0 \n",
- "22436 D50014C ... 266297.0 17217180.0 \n",
- "26313 D62041C ... 726861.0 16575342.0 \n",
- "26389 D79079B ... 1183644.0 7796645.0 \n",
- "29219 D42685C ... 20619678.0 5230817.0 \n",
- "29755 T41312B ... 20137609.0 866000.0 \n",
- "30409 D14160C ... 17317614.0 20656042.0 \n",
- "34321 D50543C ... 21082120.0 14106171.0 \n",
- "36355 T89914A ... 21413889.0 4691230.0 \n",
- "36768 T87796B ... 691211.0 10152821.0 \n",
- "37423 T29829B ... 1462150.0 11084682.0 \n",
- "39511 D31798A ... 431605.0 4343053.0 \n",
- "41905 T29714A ... 21793981.0 15083051.0 \n",
- "45104 T83862B ... 922340.0 6808243.0 \n",
- "51921 T21829A ... 1877744.0 17194395.0 \n",
- "52132 T11002B ... 21501662.0 12156548.0 \n",
- "53066 T87810B ... 21162822.0 18343666.0 \n",
- "55665 D50127C ... 1747708.0 523391.0 \n",
- "55924 D93483C ... 1013527.0 3027604.0 \n",
- "65994 T72365C ... 20630988.0 132198.0 \n",
- "67489 D89189B ... 2145889.0 2884474.0 \n",
- "76325 D27389A ... 20940254.0 13808364.0 \n",
- "76564 U89655C ... 451651.0 9107194.0 \n",
- "76583 D10426B ... 1130335.0 20495004.0 \n",
- "80771 L10990C ... 21327215.0 1555698.0 \n",
- "83211 D17511B ... 20789736.0 20934470.0 \n",
- "85120 D79707C ... 295586.0 313477.0 \n",
- "86556 T77686B ... 19722578.0 18670947.0 \n",
- "90000 T72248C ... 746678.0 19765194.0 \n",
- "90370 G74073B ... 2446517.0 4935051.0 \n",
- "94398 T85894A ... 21496079.0 12651041.0 \n",
- "96242 9164566995485180 ... 1531847.0 4052737.0 \n",
- "102830 T10381B ... 422205.0 5283196.0 \n",
- "108412 D14322C ... 294283.0 21219098.0 \n",
- "114664 T88982A ... 19075571.0 5910454.0 \n",
- "114831 T89146C ... 636385.0 9870521.0 \n",
- "116370 D52917A ... 1982781.0 16571558.0 \n",
- "117030 L77140A ... 20187059.0 19040736.0 \n",
- "121660 D93078B ... 668926.0 3761746.0 \n",
- "127773 L70873A ... 21633973.0 17320452.0 \n",
- "128371 L53526C ... 20824619.0 21930816.0 \n",
- "135120 L11845A ... 17178120.0 5293654.0 \n",
- "138199 D83857C ... 21585599.0 214885.0 \n",
- "141413 9164567011319310 ... 21542572.0 13830009.0 \n",
- "142425 D10694A ... 915605.0 5056905.0 \n",
- "142471 T89879C ... 20720550.0 14363392.0 \n",
- "142514 D50549B ... 20091617.0 10623504.0 \n",
- "142544 D21095B ... 20508375.0 21768377.0 \n",
- "143077 G20917C ... 1736827.0 5005101.0 \n",
- "149500 D11837B ... 20478032.0 3361021.0 \n",
- "\n",
- " netflix_ul_(bytes) gaming_dl_(bytes) gaming_ul_(bytes) \\\n",
- "4419 404950.0 557803005.0 3950587.0 \n",
- "5966 3495866.0 298512002.0 313066.0 \n",
- "13505 510541.0 597148476.0 124554.0 \n",
- "15350 21650146.0 350061114.0 15792667.0 \n",
- "15901 21948653.0 800409956.0 15587551.0 \n",
- "20725 19337726.0 160430857.0 14869663.0 \n",
- "22436 1124564.0 800071175.0 447425.0 \n",
- "26313 422195.0 411769456.0 1778609.0 \n",
- "26389 696201.0 391946002.0 2436772.0 \n",
- "29219 21299696.0 314600331.0 14142706.0 \n",
- "29755 21474304.0 317152462.0 14155529.0 \n",
- "30409 21822819.0 273329633.0 15726407.0 \n",
- "34321 19860922.0 230277632.0 13182794.0 \n",
- "36355 21559564.0 610997024.0 14386807.0 \n",
- "36768 1685539.0 620688922.0 1306797.0 \n",
- "37423 10597.0 552850637.0 3217653.0 \n",
- "39511 1266277.0 557988574.0 1090701.0 \n",
- "41905 21099178.0 371427543.0 15634417.0 \n",
- "45104 2095080.0 331975562.0 2658529.0 \n",
- "51921 150335.0 836899305.0 863086.0 \n",
- "52132 19682682.0 840912532.0 15082146.0 \n",
- "53066 20877773.0 2117561.0 14841553.0 \n",
- "55665 437343.0 508615866.0 1918893.0 \n",
- "55924 1286830.0 662680677.0 371258.0 \n",
- "65994 21648599.0 817348789.0 14295487.0 \n",
- "67489 1757001.0 755942042.0 792953.0 \n",
- "76325 20761208.0 44744669.0 15735898.0 \n",
- "76564 265037.0 149790579.0 1985982.0 \n",
- "76583 996089.0 22588294.0 279649.0 \n",
- "80771 19611751.0 450587963.0 15989751.0 \n",
- "83211 21600102.0 672209315.0 14684008.0 \n",
- "85120 859986.0 232510591.0 1981724.0 \n",
- "86556 20364218.0 517792849.0 16429849.0 \n",
- "90000 1793681.0 652969002.0 307815.0 \n",
- "90370 938399.0 344832862.0 2259559.0 \n",
- "94398 20241581.0 438852834.0 16159797.0 \n",
- "96242 3024031.0 341070930.0 1065895.0 \n",
- "102830 1025760.0 41717494.0 1375358.0 \n",
- "108412 2819248.0 266971391.0 478796.0 \n",
- "114664 19379045.0 720042501.0 15819340.0 \n",
- "114831 417285.0 652577247.0 25882.0 \n",
- "116370 682529.0 512920823.0 190075.0 \n",
- "117030 20564925.0 51755481.0 15696855.0 \n",
- "121660 1228328.0 264750897.0 3116590.0 \n",
- "127773 20196141.0 118166164.0 16399651.0 \n",
- "128371 21070992.0 71265855.0 14663055.0 \n",
- "135120 21316578.0 636531933.0 15525933.0 \n",
- "138199 19285858.0 604268236.0 14844763.0 \n",
- "141413 21208833.0 577270131.0 15454924.0 \n",
- "142425 451320.0 699767945.0 1620291.0 \n",
- "142471 21357789.0 647538146.0 15292310.0 \n",
- "142514 21769536.0 760997630.0 15484064.0 \n",
- "142544 21836642.0 780258014.0 14536116.0 \n",
- "143077 3002643.0 458295806.0 168849.0 \n",
- "149500 21185346.0 514665131.0 15843922.0 \n",
- "\n",
- " other_dl_(bytes) other_ul_(bytes) total_ul_(bytes) \\\n",
- "4419 648311234.0 400751.0 6243519.0 \n",
- "5966 796845662.0 22444.0 7248354.0 \n",
- "13505 385902024.0 2101782.0 4469240.0 \n",
- "15350 773955089.0 15880966.0 78331311.0 \n",
- "15901 706266755.0 15354227.0 76732208.0 \n",
- "20725 388880674.0 15211788.0 75365046.0 \n",
- "22436 625768055.0 2169741.0 4658336.0 \n",
- "26313 117400153.0 1401294.0 6843180.0 \n",
- "26389 394264579.0 342643.0 5461287.0 \n",
- "29219 560887770.0 15625409.0 76106710.0 \n",
- "29755 831365304.0 16309970.0 75648001.0 \n",
- "30409 623166944.0 16528379.0 76160855.0 \n",
- "34321 668778449.0 16361931.0 75238657.0 \n",
- "36355 481947214.0 16116881.0 76607067.0 \n",
- "36768 507337188.0 534689.0 6111724.0 \n",
- "37423 196545118.0 1004464.0 7167136.0 \n",
- "39511 301183835.0 160138.0 4661082.0 \n",
- "41905 292324811.0 15961972.0 76178342.0 \n",
- "45104 693581945.0 273782.0 7011653.0 \n",
- "51921 827850449.0 1662487.0 7198501.0 \n",
- "52132 696269355.0 14698593.0 75112879.0 \n",
- "53066 447915158.0 14650100.0 75808098.0 \n",
- "55665 405215967.0 1152874.0 6762964.0 \n",
- "55924 36984784.0 2872923.0 7258965.0 \n",
- "65994 438428921.0 15145339.0 75675867.0 \n",
- "67489 418986222.0 391925.0 6150268.0 \n",
- "76325 282353222.0 16377689.0 76012662.0 \n",
- "76564 295434009.0 2108989.0 5921981.0 \n",
- "76583 58189161.0 72908.0 5568418.0 \n",
- "80771 221289667.0 15787570.0 76902276.0 \n",
- "83211 291939818.0 15605684.0 77157382.0 \n",
- "85120 650229250.0 2508439.0 6900733.0 \n",
- "86556 207690814.0 15129525.0 76339088.0 \n",
- "90000 225034616.0 3083488.0 7119319.0 \n",
- "90370 379705049.0 81830.0 6078096.0 \n",
- "94398 126291218.0 15668536.0 77458132.0 \n",
- "96242 135046568.0 964344.0 7139912.0 \n",
- "102830 31377531.0 918699.0 5276726.0 \n",
- "108412 407859428.0 1483131.0 5974147.0 \n",
- "114664 305009201.0 16551142.0 75788572.0 \n",
- "114831 467173189.0 434054.0 2866892.0 \n",
- "116370 655134655.0 710952.0 4338786.0 \n",
- "117030 175840538.0 16235872.0 75060463.0 \n",
- "121660 232275774.0 933180.0 6987876.0 \n",
- "127773 112656807.0 14814488.0 77390291.0 \n",
- "128371 414313423.0 14800780.0 76066739.0 \n",
- "135120 34761089.0 16170973.0 74984241.0 \n",
- "138199 750659200.0 15766681.0 75825266.0 \n",
- "141413 473605493.0 13943265.0 76052422.0 \n",
- "142425 677699897.0 2248238.0 6852277.0 \n",
- "142471 613992062.0 15469124.0 75715253.0 \n",
- "142514 731001647.0 13786362.0 75649033.0 \n",
- "142544 716715935.0 16481850.0 76667292.0 \n",
- "143077 141067541.0 142036.0 6130740.0 \n",
- "149500 289552662.0 15612647.0 76916429.0 \n",
- "\n",
- " total_dl_(bytes) ZscoreMedInc \n",
- "4419 584476427.0 -3.093005 \n",
- "5966 326923653.0 -3.003895 \n",
- "13505 629949264.0 -3.250351 \n",
- "15350 390390788.0 3.299847 \n",
- "15901 844150389.0 3.158036 \n",
- "20725 186303124.0 3.036794 \n",
- "22436 838044368.0 -3.233581 \n",
- "26313 454620096.0 -3.039826 \n",
- "26389 427447047.0 -3.162375 \n",
- "29219 352087447.0 3.102566 \n",
- "29755 353354016.0 3.061887 \n",
- "30409 307128081.0 3.107368 \n",
- "34321 253678982.0 3.025586 \n",
- "36355 622140753.0 3.146939 \n",
- "36768 642173199.0 -3.104693 \n",
- "37423 569089914.0 -3.011097 \n",
- "39511 571958472.0 -3.233338 \n",
- "41905 417622623.0 3.108919 \n",
- "45104 364687088.0 -3.024886 \n",
- "51921 870348251.0 -3.008316 \n",
- "52132 880871897.0 3.014432 \n",
- "53066 59042083.0 3.076085 \n",
- "55665 533376978.0 -3.046940 \n",
- "55924 685418623.0 -3.002954 \n",
- "65994 820146774.0 3.064359 \n",
- "67489 780687157.0 -3.101275 \n",
- "76325 80074706.0 3.094226 \n",
- "76564 178843933.0 -3.121519 \n",
- "76583 79770986.0 -3.152874 \n",
- "80771 465637863.0 3.173118 \n",
- "83211 700942074.0 3.195741 \n",
- "85120 247863073.0 -3.034722 \n",
- "86556 545163569.0 3.123174 \n",
- "90000 693869533.0 -3.015338 \n",
- "90370 363751473.0 -3.107675 \n",
- "94398 477823073.0 3.222412 \n",
- "96242 374251050.0 -3.013512 \n",
- "102830 55757301.0 -3.178742 \n",
- "108412 321306245.0 -3.116893 \n",
- "114664 748942430.0 3.074353 \n",
- "114831 683088939.0 -3.392449 \n",
- "116370 552837143.0 -3.261920 \n",
- "117030 106584068.0 3.009784 \n",
- "121660 293119110.0 -3.026994 \n",
- "127773 165432318.0 3.216396 \n",
- "128371 117616287.0 3.099022 \n",
- "135120 655338405.0 3.003024 \n",
- "138199 640308498.0 3.077607 \n",
- "141413 616247021.0 3.097752 \n",
- "142425 733551675.0 -3.039019 \n",
- "142471 671474309.0 3.067851 \n",
- "142514 790107607.0 3.061979 \n",
- "142544 818883063.0 3.152280 \n",
- "143077 477762586.0 -3.103006 \n",
- "149500 537126512.0 3.174373 \n",
- "\n",
- "[55 rows x 46 columns]"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " | \n",
- " bearer_id | \n",
- " start | \n",
- " start_ms | \n",
- " end | \n",
- " end_ms | \n",
- " dur._(ms) | \n",
- " imsi | \n",
- " msisdn/number | \n",
- " imei | \n",
- " last_location_name | \n",
- " ... | \n",
- " youtube_ul_(bytes) | \n",
- " netflix_dl_(bytes) | \n",
- " netflix_ul_(bytes) | \n",
- " gaming_dl_(bytes) | \n",
- " gaming_ul_(bytes) | \n",
- " other_dl_(bytes) | \n",
- " other_ul_(bytes) | \n",
- " total_ul_(bytes) | \n",
- " total_dl_(bytes) | \n",
- " ZscoreMedInc | \n",
- " \n",
- " \n",
- " \n",
- " \n",
- " | 0 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-04 12:01:18 | \n",
- " 770.0 | \n",
- " 2019-04-25 14:35:31 | \n",
- " 662.0 | \n",
- " 1823652.0 | \n",
- " 2.082014e+14 | \n",
- " 3.366496e+10 | \n",
- " 3.552121e+13 | \n",
- " 9164566995485190 | \n",
- " ... | \n",
- " 2.501332e+06 | \n",
- " 8.198936e+06 | \n",
- " 9.656251e+06 | \n",
- " 2.780823e+08 | \n",
- " 1.434415e+07 | \n",
- " 1.717444e+08 | \n",
- " 8.814393e+06 | \n",
- " 36749741.0 | \n",
- " 308879636.0 | \n",
- " -0.387668 | \n",
- " \n",
- " \n",
- " | 1 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-09 13:04:04 | \n",
- " 235.0 | \n",
- " 2019-04-25 08:15:48 | \n",
- " 606.0 | \n",
- " 1365104.0 | \n",
- " 2.082019e+14 | \n",
- " 3.368185e+10 | \n",
- " 3.579401e+13 | \n",
- " L77566A | \n",
- " ... | \n",
- " 1.911173e+07 | \n",
- " 1.833841e+07 | \n",
- " 1.722713e+07 | \n",
- " 6.087501e+08 | \n",
- " 1.170709e+06 | \n",
- " 5.269042e+08 | \n",
- " 1.505514e+07 | \n",
- " 53800391.0 | \n",
- " 653384965.0 | \n",
- " 1.124409 | \n",
- " \n",
- " \n",
- " | 2 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-09 17:42:11 | \n",
- " 1.0 | \n",
- " 2019-04-25 11:58:13 | \n",
- " 652.0 | \n",
- " 1361762.0 | \n",
- " 2.082003e+14 | \n",
- " 3.376063e+10 | \n",
- " 3.528151e+13 | \n",
- " D42335A | \n",
- " ... | \n",
- " 1.469958e+07 | \n",
- " 1.758779e+07 | \n",
- " 6.163408e+06 | \n",
- " 2.295846e+08 | \n",
- " 3.956300e+05 | \n",
- " 4.106926e+08 | \n",
- " 4.215763e+06 | \n",
- " 27883638.0 | \n",
- " 279807335.0 | \n",
- " -1.173927 | \n",
- " \n",
- " \n",
- " | 3 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-10 00:31:25 | \n",
- " 486.0 | \n",
- " 2019-04-25 07:36:35 | \n",
- " 171.0 | \n",
- " 1321509.0 | \n",
- " 2.082014e+14 | \n",
- " 3.375034e+10 | \n",
- " 3.535661e+13 | \n",
- " T21824A | \n",
- " ... | \n",
- " 1.514664e+07 | \n",
- " 1.399465e+07 | \n",
- " 1.097942e+06 | \n",
- " 7.995382e+08 | \n",
- " 1.084972e+07 | \n",
- " 7.490399e+08 | \n",
- " 1.279728e+07 | \n",
- " 43324218.0 | \n",
- " 846028530.0 | \n",
- " 0.195366 | \n",
- " \n",
- " \n",
- " | 4 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-12 20:10:23 | \n",
- " 565.0 | \n",
- " 2019-04-25 10:40:32 | \n",
- " 954.0 | \n",
- " 1089009.0 | \n",
- " 2.082014e+14 | \n",
- " 3.369980e+10 | \n",
- " 3.540701e+13 | \n",
- " D88865A | \n",
- " ... | \n",
- " 1.896287e+07 | \n",
- " 1.712458e+07 | \n",
- " 4.152180e+05 | \n",
- " 5.277072e+08 | \n",
- " 3.529801e+06 | \n",
- " 5.507095e+08 | \n",
- " 1.391032e+07 | \n",
- " 38542814.0 | \n",
- " 569138589.0 | \n",
- " -0.228656 | \n",
- " \n",
- " \n",
- " | ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " \n",
- " \n",
- " | 149996 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-29 07:28:42 | \n",
- " 451.0 | \n",
- " 2019-04-30 06:02:33 | \n",
- " 214.0 | \n",
- " 81230.0 | \n",
- " 2.082022e+14 | \n",
- " 3.365069e+10 | \n",
- " 3.548311e+13 | \n",
- " D20434A | \n",
- " ... | \n",
- " 1.176343e+07 | \n",
- " 1.788370e+07 | \n",
- " 1.967816e+07 | \n",
- " 5.266097e+08 | \n",
- " 9.197207e+06 | \n",
- " 3.264510e+06 | \n",
- " 1.348742e+07 | \n",
- " 57628851.0 | \n",
- " 574175259.0 | \n",
- " 1.463922 | \n",
- " \n",
- " \n",
- " | 149997 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-29 07:28:42 | \n",
- " 483.0 | \n",
- " 2019-04-30 10:41:33 | \n",
- " 187.0 | \n",
- " 97970.0 | \n",
- " 2.082019e+14 | \n",
- " 3.366345e+10 | \n",
- " 3.566051e+13 | \n",
- " D10223C | \n",
- " ... | \n",
- " 8.288284e+06 | \n",
- " 1.935015e+07 | \n",
- " 2.129315e+07 | \n",
- " 6.268931e+08 | \n",
- " 4.735033e+06 | \n",
- " 7.121804e+08 | \n",
- " 2.457758e+06 | \n",
- " 39135081.0 | \n",
- " 666648844.0 | \n",
- " -0.176133 | \n",
- " \n",
- " \n",
- " | 149998 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-29 07:28:43 | \n",
- " 283.0 | \n",
- " 2019-04-30 10:46:12 | \n",
- " 810.0 | \n",
- " 98249.0 | \n",
- " 2.082017e+14 | \n",
- " 3.362189e+10 | \n",
- " 3.572121e+13 | \n",
- " T51102A | \n",
- " ... | \n",
- " 1.855903e+06 | \n",
- " 9.963942e+06 | \n",
- " 5.065760e+06 | \n",
- " 5.535395e+08 | \n",
- " 1.339432e+07 | \n",
- " 1.211009e+08 | \n",
- " 1.131473e+07 | \n",
- " 34912224.0 | \n",
- " 592786405.0 | \n",
- " -0.550622 | \n",
- " \n",
- " \n",
- " | 149999 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-29 07:28:43 | \n",
- " 696.0 | \n",
- " 2019-04-30 10:40:34 | \n",
- " 327.0 | \n",
- " 97910.0 | \n",
- " 2.082021e+14 | \n",
- " 3.361962e+10 | \n",
- " 8.618620e+13 | \n",
- " L88342B | \n",
- " ... | \n",
- " 8.305402e+06 | \n",
- " 3.322253e+06 | \n",
- " 1.317259e+07 | \n",
- " 3.525370e+08 | \n",
- " 2.529475e+06 | \n",
- " 8.147131e+08 | \n",
- " 1.406930e+06 | \n",
- " 29626096.0 | \n",
- " 371895920.0 | \n",
- " -1.019403 | \n",
- " \n",
- " \n",
- " | 150000 | \n",
- " 7.349883e+18 | \n",
- " 2019-04-29 07:08:38 | \n",
- " 499.0 | \n",
- " 2019-04-25 00:01:32 | \n",
- " 500.0 | \n",
- " 86399.0 | \n",
- " 2.082015e+14 | \n",
- " 3.366371e+10 | \n",
- " 3.572201e+13 | \n",
- " D41377B | \n",
- " ... | \n",
- " 1.100941e+07 | \n",
- " 1.162685e+07 | \n",
- " 1.100175e+07 | \n",
- " 4.220447e+08 | \n",
- " 8.288398e+06 | \n",
- " 4.211005e+08 | \n",
- " 8.264799e+06 | \n",
- " 41143312.0 | \n",
- " 455841077.5 | \n",
- " 0.001960 | \n",
+ " 2019-04-24 13:18:14 | \n",
+ " 572.0 | \n",
+ " 2019-04-26 10:04:11 | \n",
+ " 353.0 | \n",
+ " 11.990128 | \n",
+ " 2.082014e+14 | \n",
+ " 3.366819e+10 | \n",
+ " 3.554261e+13 | \n",
+ " L10245C | \n",
+ " ... | \n",
+ " 15.561512 | \n",
+ " 16.878157 | \n",
+ " 16.193567 | \n",
+ " 14.194150 | \n",
+ " 19.892186 | \n",
+ " 16.389378 | \n",
+ " 20.364356 | \n",
+ " 14.235121 | \n",
+ " 17.491255 | \n",
+ " 19.941701 | \n",
+ " \n",
+ " \n",
+ " | 106894 | \n",
+ " 1.311448e+19 | \n",
+ " 2019-04-27 12:32:45 | \n",
+ " 456.0 | \n",
+ " 2019-04-29 08:53:24 | \n",
+ " 374.0 | \n",
+ " 11.980664 | \n",
+ " 2.082019e+14 | \n",
+ " 3.366176e+10 | \n",
+ " 3.586511e+13 | \n",
+ " T88979B | \n",
+ " ... | \n",
+ " 15.032359 | \n",
+ " 15.544011 | \n",
+ " 16.325990 | \n",
+ " 13.531698 | \n",
+ " 19.572920 | \n",
+ " 16.081830 | \n",
+ " 18.404168 | \n",
+ " 15.619466 | \n",
+ " 17.004136 | \n",
+ " 19.662753 | \n",
" \n",
" \n",
" \n",
- " 149946 rows × 46 columns \n",
+ " 5 rows × 55 columns \n",
" "
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
"output_type": "display_data"
}
],
"source": [
- "from scipy.stats import zscore\n",
- "#create a column with all the zscore values of the MedInc column\n",
- "df['ZscoreMedInc'] = zscore(df['total_ul_(bytes)'])\n",
- "\n",
- "#select outliers\n",
- "display(df[~((df['ZscoreMedInc'] < 3) & (df['ZscoreMedInc'] > -3))])\n",
- "\n",
- "#outliers removed\n",
- "display(df[(df['ZscoreMedInc'] < 3) & (df['ZscoreMedInc'] > -3)])"
+ "df_cop[num_cols].boxplot()"
]
},
{
- "cell_type": "code",
- "execution_count": 13,
+ "cell_type": "markdown",
"metadata": {},
- "outputs": [],
"source": [
- "from sklearn.preprocessing import MinMaxScaler\n",
- "\n",
- "minmax_scaler = MinMaxScaler()\n"
+ "Most of the outliers have been handled"
]
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": 53,
"metadata": {},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n",
- "RangeIndex: 150001 entries, 0 to 150000\n",
- "Data columns (total 41 columns):\n",
- " # Column Non-Null Count Dtype \n",
- "--- ------ -------------- ----- \n",
- " 0 bearer_id 150001 non-null float64\n",
- " 1 start_ms 150001 non-null float64\n",
- " 2 end_ms 150001 non-null float64\n",
- " 3 dur._(ms) 150001 non-null float64\n",
- " 4 imsi 150001 non-null float64\n",
- " 5 msisdn/number 150001 non-null float64\n",
- " 6 imei 150001 non-null float64\n",
- " 7 avg_rtt_dl_(ms) 150001 non-null float64\n",
- " 8 avg_rtt_ul_(ms) 150001 non-null float64\n",
- " 9 avg_bearer_tp_dl_(kbps) 150001 non-null float64\n",
- " 10 avg_bearer_tp_ul_(kbps) 150001 non-null float64\n",
- " 11 dl_tp_<_50_kbps_(%) 150001 non-null float64\n",
- " 12 50_kbps_<_dl_tp_<_250_kbps_(%) 150001 non-null float64\n",
- " 13 250_kbps_<_dl_tp_<_1_mbps_(%) 150001 non-null float64\n",
- " 14 dl_tp_>_1_mbps_(%) 150001 non-null float64\n",
- " 15 ul_tp_<_10_kbps_(%) 150001 non-null float64\n",
- " 16 10_kbps_<_ul_tp_<_50_kbps_(%) 150001 non-null float64\n",
- " 17 50_kbps_<_ul_tp_<_300_kbps_(%) 150001 non-null float64\n",
- " 18 ul_tp_>_300_kbps_(%) 150001 non-null float64\n",
- " 19 activity_duration_dl_(ms) 150001 non-null float64\n",
- " 20 activity_duration_ul_(ms) 150001 non-null float64\n",
- " 21 dur._(ms).1 150001 non-null float64\n",
- " 22 nb_of_sec_with_vol_dl_<_6250b 150001 non-null float64\n",
- " 23 nb_of_sec_with_vol_ul_<_1250b 150001 non-null float64\n",
- " 24 social_media_dl_(bytes) 150001 non-null float64\n",
- " 25 social_media_ul_(bytes) 150001 non-null float64\n",
- " 26 google_dl_(bytes) 150001 non-null float64\n",
- " 27 google_ul_(bytes) 150001 non-null float64\n",
- " 28 email_dl_(bytes) 150001 non-null float64\n",
- " 29 email_ul_(bytes) 150001 non-null float64\n",
- " 30 youtube_dl_(bytes) 150001 non-null float64\n",
- " 31 youtube_ul_(bytes) 150001 non-null float64\n",
- " 32 netflix_dl_(bytes) 150001 non-null float64\n",
- " 33 netflix_ul_(bytes) 150001 non-null float64\n",
- " 34 gaming_dl_(bytes) 150001 non-null float64\n",
- " 35 gaming_ul_(bytes) 150001 non-null float64\n",
- " 36 other_dl_(bytes) 150001 non-null float64\n",
- " 37 other_ul_(bytes) 150001 non-null float64\n",
- " 38 total_ul_(bytes) 150001 non-null float64\n",
- " 39 total_dl_(bytes) 150001 non-null float64\n",
- " 40 ZscoreMedInc 150001 non-null float64\n",
- "dtypes: float64(41)\n",
- "memory usage: 46.9 MB\n"
- ]
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
}
],
"source": [
- "df[num_cols].info()"
+ "pl.plot_box(df_cop, 'dur._(ms)', 'Total Duration of the xDR (in ms) after outlier handling')"
]
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 55,
"metadata": {},
"outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/jedi/anaconda3/lib/python3.9/site-packages/numpy/lib/function_base.py:3961: RuntimeWarning: invalid value encountered in subtract\n",
+ " diff_b_a = subtract(b, a)\n"
+ ]
+ },
{
"data": {
"text/html": [
@@ -5281,6 +2239,7 @@
" | avg_rtt_ul_(ms) | \n",
" avg_bearer_tp_dl_(kbps) | \n",
" ... | \n",
+ " youtube_dl_(bytes) | \n",
" youtube_ul_(bytes) | \n",
" netflix_dl_(bytes) | \n",
" netflix_ul_(bytes) | \n",
@@ -5290,509 +2249,294 @@
" other_ul_(bytes) | \n",
" total_ul_(bytes) | \n",
" total_dl_(bytes) | \n",
- " ZscoreMedInc | \n",
" \n",
" \n",
" \n",
" \n",
- " | 0 | \n",
- " 0.988506 | \n",
- " 0.770771 | \n",
- " 0.662663 | \n",
- " 0.980734 | \n",
- " 0.414307 | \n",
- " 7.248772e-08 | \n",
- " 0.355933 | \n",
- " 0.000433 | \n",
- " 0.000702 | \n",
- " 0.000061 | \n",
- " ... | \n",
- " 0.113631 | \n",
- " 0.352502 | \n",
- " 0.438681 | \n",
- " 0.329697 | \n",
- " 0.866255 | \n",
- " 0.203620 | \n",
- " 0.532304 | \n",
- " 0.448991 | \n",
- " 0.336846 | \n",
- " 0.448991 | \n",
- " \n",
- " \n",
- " | 1 | \n",
- " 0.988506 | \n",
- " 0.235235 | \n",
- " 0.606607 | \n",
- " 0.733164 | \n",
- " 0.414353 | \n",
- " 9.163195e-08 | \n",
- " 0.358701 | \n",
- " 0.000671 | \n",
- " 0.000702 | \n",
- " 0.000042 | \n",
- " ... | \n",
- " 0.868242 | \n",
- " 0.788437 | \n",
- " 0.782626 | \n",
- " 0.721744 | \n",
- " 0.070697 | \n",
- " 0.624705 | \n",
- " 0.909191 | \n",
- " 0.674934 | \n",
- " 0.721401 | \n",
- " 0.674934 | \n",
- " \n",
- " \n",
- " | 2 | \n",
- " 0.988506 | \n",
- " 0.001001 | \n",
- " 0.652653 | \n",
- " 0.731360 | \n",
- " 0.414194 | \n",
- " 1.809066e-07 | \n",
- " 0.353501 | \n",
- " 0.000464 | \n",
- " 0.000702 | \n",
- " 0.000016 | \n",
- " ... | \n",
- " 0.667798 | \n",
- " 0.756165 | \n",
- " 0.280002 | \n",
- " 0.272198 | \n",
- " 0.023889 | \n",
- " 0.486922 | \n",
- " 0.254587 | \n",
- " 0.331504 | \n",
- " 0.304394 | \n",
- " 0.331504 | \n",
- " \n",
- " \n",
- " | 3 | \n",
- " 0.988506 | \n",
- " 0.486486 | \n",
- " 0.171171 | \n",
- " 0.709627 | \n",
- " 0.414303 | \n",
- " 1.692516e-07 | \n",
- " 0.354263 | \n",
- " 0.000464 | \n",
- " 0.000702 | \n",
- " 0.000116 | \n",
+ " count | \n",
+ " 1.500010e+05 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 1.500010e+05 | \n",
+ " 1.500010e+05 | \n",
+ " 1.500010e+05 | \n",
+ " 1.500010e+05 | \n",
+ " 1.500010e+05 | \n",
+ " 1.500010e+05 | \n",
" ... | \n",
- " 0.688108 | \n",
- " 0.601682 | \n",
- " 0.049878 | \n",
- " 0.947947 | \n",
- " 0.655223 | \n",
- " 0.888074 | \n",
- " 0.772836 | \n",
- " 0.536111 | \n",
- " 0.936439 | \n",
- " 0.536111 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
" \n",
" \n",
- " | 4 | \n",
- " 0.988506 | \n",
- " 0.565566 | \n",
- " 0.954955 | \n",
- " 0.584100 | \n",
- " 0.414303 | \n",
- " 1.119654e-07 | \n",
- " 0.354774 | \n",
- " 0.000464 | \n",
- " 0.000702 | \n",
- " 0.000016 | \n",
- " ... | \n",
- " 0.861480 | \n",
- " 0.736250 | \n",
- " 0.018862 | \n",
- " 0.625658 | \n",
- " 0.213165 | \n",
- " 0.652929 | \n",
- " 0.840054 | \n",
- " 0.472752 | \n",
- " 0.627361 | \n",
- " 0.472752 | \n",
+ " mean | \n",
+ " 1.012045e+19 | \n",
+ " 499.188199 | \n",
+ " 498.800888 | \n",
+ " 0.439023 | \n",
+ " 2.082016e+14 | \n",
+ " 4.182441e+10 | \n",
+ " 4.842592e+13 | \n",
+ " -inf | \n",
+ " -inf | \n",
+ " -inf | \n",
+ " ... | \n",
+ " 0.923116 | \n",
+ " 0.918437 | \n",
+ " 0.924240 | \n",
+ " 0.925019 | \n",
+ " 0.921345 | \n",
+ " 0.920386 | \n",
+ " 0.919480 | \n",
+ " 0.913696 | \n",
+ " 0.792328 | \n",
+ " 0.813121 | \n",
" \n",
" \n",
- " | ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
+ " std | \n",
+ " 2.892438e+18 | \n",
+ " 288.610872 | \n",
+ " 288.096693 | \n",
+ " 0.131061 | \n",
+ " 2.144723e+10 | \n",
+ " 2.438731e+12 | \n",
+ " 2.238739e+13 | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " ... | \n",
+ " 0.076958 | \n",
+ " 0.081745 | \n",
+ " 0.075821 | \n",
+ " 0.074999 | \n",
+ " 0.078754 | \n",
+ " 0.079740 | \n",
+ " 0.080658 | \n",
+ " 0.086596 | \n",
+ " 0.092031 | \n",
+ " 0.156937 | \n",
" \n",
" \n",
- " | 149996 | \n",
- " 0.057471 | \n",
- " 0.451451 | \n",
- " 0.214214 | \n",
- " 0.040000 | \n",
- " 0.414382 | \n",
- " 5.631123e-08 | \n",
- " 0.355547 | \n",
- " 0.000330 | \n",
+ " min | \n",
+ " 6.917538e+18 | \n",
+ " 0.000000 | \n",
" 0.000000 | \n",
- " 0.000138 | \n",
+ " 0.000000 | \n",
+ " 2.040471e+14 | \n",
+ " 3.360100e+10 | \n",
+ " 4.400152e+11 | \n",
+ " -inf | \n",
+ " -inf | \n",
+ " -inf | \n",
" ... | \n",
- " 0.534408 | \n",
- " 0.768887 | \n",
- " 0.893976 | \n",
- " 0.624357 | \n",
- " 0.555426 | \n",
- " 0.003867 | \n",
- " 0.814514 | \n",
- " 0.725666 | \n",
- " 0.632983 | \n",
- " 0.725666 | \n",
+ " 0.000000 | \n",
+ " 0.000000 | \n",
+ " 0.000000 | \n",
+ " 0.000000 | \n",
+ " 0.000000 | \n",
+ " 0.000000 | \n",
+ " 0.000000 | \n",
+ " 0.000000 | \n",
+ " 0.000000 | \n",
+ " 0.000000 | \n",
" \n",
" \n",
- " | 149997 | \n",
- " 0.068966 | \n",
- " 0.483483 | \n",
- " 0.187187 | \n",
- " 0.049038 | \n",
- " 0.414353 | \n",
- " 7.077383e-08 | \n",
- " 0.357346 | \n",
- " 0.000279 | \n",
- " 0.000281 | \n",
- " 0.000061 | \n",
- " ... | \n",
- " 0.376532 | \n",
- " 0.831935 | \n",
- " 0.967345 | \n",
- " 0.743255 | \n",
- " 0.285950 | \n",
- " 0.844373 | \n",
- " 0.148418 | \n",
- " 0.480600 | \n",
- " 0.736207 | \n",
- " 0.480600 | \n",
+ " 25% | \n",
+ " 7.349883e+18 | \n",
+ " 250.000000 | \n",
+ " 251.000000 | \n",
+ " 0.374827 | \n",
+ " 2.082014e+14 | \n",
+ " 3.365151e+10 | \n",
+ " 3.546261e+13 | \n",
+ " 3.555348e+00 | \n",
+ " 1.098612e+00 | \n",
+ " 3.761200e+00 | \n",
+ " ... | \n",
+ " 0.893543 | \n",
+ " 0.887084 | \n",
+ " 0.894682 | \n",
+ " 0.895803 | \n",
+ " 0.890892 | \n",
+ " 0.889277 | \n",
+ " 0.888433 | \n",
+ " 0.880881 | \n",
+ " 0.740687 | \n",
+ " 0.729090 | \n",
" \n",
" \n",
- " | 149998 | \n",
- " 0.988506 | \n",
- " 0.283283 | \n",
- " 0.810811 | \n",
- " 0.049189 | \n",
- " 0.414333 | \n",
- " 2.367321e-08 | \n",
- " 0.357962 | \n",
- " 0.000444 | \n",
- " 0.000843 | \n",
- " 0.000114 | \n",
- " ... | \n",
- " 0.084309 | \n",
- " 0.428386 | \n",
- " 0.230136 | \n",
- " 0.656285 | \n",
- " 0.808894 | \n",
- " 0.143576 | \n",
- " 0.683303 | \n",
- " 0.424642 | \n",
- " 0.653758 | \n",
- " 0.424642 | \n",
+ " 50% | \n",
+ " 7.349883e+18 | \n",
+ " 499.000000 | \n",
+ " 500.000000 | \n",
+ " 0.448219 | \n",
+ " 2.082015e+14 | \n",
+ " 3.366371e+10 | \n",
+ " 3.572201e+13 | \n",
+ " 3.806662e+00 | \n",
+ " 1.609438e+00 | \n",
+ " 4.143135e+00 | \n",
+ " ... | \n",
+ " 0.946558 | \n",
+ " 0.943486 | \n",
+ " 0.947668 | \n",
+ " 0.948020 | \n",
+ " 0.945832 | \n",
+ " 0.944860 | \n",
+ " 0.944361 | \n",
+ " 0.940247 | \n",
+ " 0.805338 | \n",
+ " 0.858877 | \n",
" \n",
" \n",
- " | 149999 | \n",
- " 0.988506 | \n",
- " 0.696697 | \n",
- " 0.327327 | \n",
- " 0.049006 | \n",
- " 0.414372 | \n",
- " 2.110279e-08 | \n",
- " 0.869979 | \n",
- " 0.000382 | \n",
- " 0.000702 | \n",
- " 0.000090 | \n",
- " ... | \n",
- " 0.377310 | \n",
- " 0.142835 | \n",
- " 0.598428 | \n",
- " 0.417972 | \n",
- " 0.152754 | \n",
- " 0.965938 | \n",
- " 0.084957 | \n",
- " 0.354594 | \n",
- " 0.407188 | \n",
- " 0.354594 | \n",
+ " 75% | \n",
+ " 1.304243e+19 | \n",
+ " 749.000000 | \n",
+ " 750.000000 | \n",
+ " 0.525004 | \n",
+ " 2.082018e+14 | \n",
+ " 3.368307e+10 | \n",
+ " 8.611970e+13 | \n",
+ " 4.127134e+00 | \n",
+ " 2.397895e+00 | \n",
+ " 9.888881e+00 | \n",
+ " ... | \n",
+ " 0.977875 | \n",
+ " 0.976554 | \n",
+ " 0.978359 | \n",
+ " 0.978446 | \n",
+ " 0.977462 | \n",
+ " 0.977148 | \n",
+ " 0.976788 | \n",
+ " 0.975011 | \n",
+ " 0.858383 | \n",
+ " 0.937063 | \n",
" \n",
" \n",
- " | 150000 | \n",
- " 0.068966 | \n",
- " 0.499499 | \n",
- " 0.500501 | \n",
- " 0.042791 | \n",
- " 0.414317 | \n",
- " 7.106490e-08 | \n",
- " 0.357970 | \n",
- " 0.000464 | \n",
- " 0.000702 | \n",
- " 0.000167 | \n",
- " ... | \n",
- " 0.500153 | \n",
- " 0.499881 | \n",
- " 0.499807 | \n",
- " 0.500382 | \n",
- " 0.500542 | \n",
- " 0.499262 | \n",
- " 0.499113 | \n",
- " 0.507211 | \n",
- " 0.500892 | \n",
- " 0.507211 | \n",
+ " max | \n",
+ " 1.318654e+19 | \n",
+ " 999.000000 | \n",
+ " 999.000000 | \n",
+ " 1.000000 | \n",
+ " 2.140743e+14 | \n",
+ " 8.823971e+14 | \n",
+ " 9.900120e+13 | \n",
+ " 1.148167e+01 | \n",
+ " 8.870663e+00 | \n",
+ " 1.284307e+01 | \n",
+ " ... | \n",
+ " 1.000000 | \n",
+ " 1.000000 | \n",
+ " 1.000000 | \n",
+ " 1.000000 | \n",
+ " 1.000000 | \n",
+ " 1.000000 | \n",
+ " 1.000000 | \n",
+ " 1.000000 | \n",
+ " 1.000000 | \n",
+ " 1.000000 | \n",
" \n",
" \n",
"\n",
- "150001 rows × 41 columns \n",
+ "8 rows × 50 columns \n",
""
],
"text/plain": [
- " bearer_id start_ms end_ms dur._(ms) imsi msisdn/number \\\n",
- "0 0.988506 0.770771 0.662663 0.980734 0.414307 7.248772e-08 \n",
- "1 0.988506 0.235235 0.606607 0.733164 0.414353 9.163195e-08 \n",
- "2 0.988506 0.001001 0.652653 0.731360 0.414194 1.809066e-07 \n",
- "3 0.988506 0.486486 0.171171 0.709627 0.414303 1.692516e-07 \n",
- "4 0.988506 0.565566 0.954955 0.584100 0.414303 1.119654e-07 \n",
- "... ... ... ... ... ... ... \n",
- "149996 0.057471 0.451451 0.214214 0.040000 0.414382 5.631123e-08 \n",
- "149997 0.068966 0.483483 0.187187 0.049038 0.414353 7.077383e-08 \n",
- "149998 0.988506 0.283283 0.810811 0.049189 0.414333 2.367321e-08 \n",
- "149999 0.988506 0.696697 0.327327 0.049006 0.414372 2.110279e-08 \n",
- "150000 0.068966 0.499499 0.500501 0.042791 0.414317 7.106490e-08 \n",
+ " bearer_id start_ms end_ms dur._(ms) \\\n",
+ "count 1.500010e+05 150001.000000 150001.000000 150001.000000 \n",
+ "mean 1.012045e+19 499.188199 498.800888 0.439023 \n",
+ "std 2.892438e+18 288.610872 288.096693 0.131061 \n",
+ "min 6.917538e+18 0.000000 0.000000 0.000000 \n",
+ "25% 7.349883e+18 250.000000 251.000000 0.374827 \n",
+ "50% 7.349883e+18 499.000000 500.000000 0.448219 \n",
+ "75% 1.304243e+19 749.000000 750.000000 0.525004 \n",
+ "max 1.318654e+19 999.000000 999.000000 1.000000 \n",
"\n",
- " imei avg_rtt_dl_(ms) avg_rtt_ul_(ms) avg_bearer_tp_dl_(kbps) \\\n",
- "0 0.355933 0.000433 0.000702 0.000061 \n",
- "1 0.358701 0.000671 0.000702 0.000042 \n",
- "2 0.353501 0.000464 0.000702 0.000016 \n",
- "3 0.354263 0.000464 0.000702 0.000116 \n",
- "4 0.354774 0.000464 0.000702 0.000016 \n",
- "... ... ... ... ... \n",
- "149996 0.355547 0.000330 0.000000 0.000138 \n",
- "149997 0.357346 0.000279 0.000281 0.000061 \n",
- "149998 0.357962 0.000444 0.000843 0.000114 \n",
- "149999 0.869979 0.000382 0.000702 0.000090 \n",
- "150000 0.357970 0.000464 0.000702 0.000167 \n",
+ " imsi msisdn/number imei avg_rtt_dl_(ms) \\\n",
+ "count 1.500010e+05 1.500010e+05 1.500010e+05 1.500010e+05 \n",
+ "mean 2.082016e+14 4.182441e+10 4.842592e+13 -inf \n",
+ "std 2.144723e+10 2.438731e+12 2.238739e+13 NaN \n",
+ "min 2.040471e+14 3.360100e+10 4.400152e+11 -inf \n",
+ "25% 2.082014e+14 3.365151e+10 3.546261e+13 3.555348e+00 \n",
+ "50% 2.082015e+14 3.366371e+10 3.572201e+13 3.806662e+00 \n",
+ "75% 2.082018e+14 3.368307e+10 8.611970e+13 4.127134e+00 \n",
+ "max 2.140743e+14 8.823971e+14 9.900120e+13 1.148167e+01 \n",
"\n",
- " ... youtube_ul_(bytes) netflix_dl_(bytes) netflix_ul_(bytes) \\\n",
- "0 ... 0.113631 0.352502 0.438681 \n",
- "1 ... 0.868242 0.788437 0.782626 \n",
- "2 ... 0.667798 0.756165 0.280002 \n",
- "3 ... 0.688108 0.601682 0.049878 \n",
- "4 ... 0.861480 0.736250 0.018862 \n",
- "... ... ... ... ... \n",
- "149996 ... 0.534408 0.768887 0.893976 \n",
- "149997 ... 0.376532 0.831935 0.967345 \n",
- "149998 ... 0.084309 0.428386 0.230136 \n",
- "149999 ... 0.377310 0.142835 0.598428 \n",
- "150000 ... 0.500153 0.499881 0.499807 \n",
+ " avg_rtt_ul_(ms) avg_bearer_tp_dl_(kbps) ... youtube_dl_(bytes) \\\n",
+ "count 1.500010e+05 1.500010e+05 ... 150001.000000 \n",
+ "mean -inf -inf ... 0.923116 \n",
+ "std NaN NaN ... 0.076958 \n",
+ "min -inf -inf ... 0.000000 \n",
+ "25% 1.098612e+00 3.761200e+00 ... 0.893543 \n",
+ "50% 1.609438e+00 4.143135e+00 ... 0.946558 \n",
+ "75% 2.397895e+00 9.888881e+00 ... 0.977875 \n",
+ "max 8.870663e+00 1.284307e+01 ... 1.000000 \n",
"\n",
- " gaming_dl_(bytes) gaming_ul_(bytes) other_dl_(bytes) \\\n",
- "0 0.329697 0.866255 0.203620 \n",
- "1 0.721744 0.070697 0.624705 \n",
- "2 0.272198 0.023889 0.486922 \n",
- "3 0.947947 0.655223 0.888074 \n",
- "4 0.625658 0.213165 0.652929 \n",
- "... ... ... ... \n",
- "149996 0.624357 0.555426 0.003867 \n",
- "149997 0.743255 0.285950 0.844373 \n",
- "149998 0.656285 0.808894 0.143576 \n",
- "149999 0.417972 0.152754 0.965938 \n",
- "150000 0.500382 0.500542 0.499262 \n",
+ " youtube_ul_(bytes) netflix_dl_(bytes) netflix_ul_(bytes) \\\n",
+ "count 150001.000000 150001.000000 150001.000000 \n",
+ "mean 0.918437 0.924240 0.925019 \n",
+ "std 0.081745 0.075821 0.074999 \n",
+ "min 0.000000 0.000000 0.000000 \n",
+ "25% 0.887084 0.894682 0.895803 \n",
+ "50% 0.943486 0.947668 0.948020 \n",
+ "75% 0.976554 0.978359 0.978446 \n",
+ "max 1.000000 1.000000 1.000000 \n",
"\n",
- " other_ul_(bytes) total_ul_(bytes) total_dl_(bytes) ZscoreMedInc \n",
- "0 0.532304 0.448991 0.336846 0.448991 \n",
- "1 0.909191 0.674934 0.721401 0.674934 \n",
- "2 0.254587 0.331504 0.304394 0.331504 \n",
- "3 0.772836 0.536111 0.936439 0.536111 \n",
- "4 0.840054 0.472752 0.627361 0.472752 \n",
- "... ... ... ... ... \n",
- "149996 0.814514 0.725666 0.632983 0.725666 \n",
- "149997 0.148418 0.480600 0.736207 0.480600 \n",
- "149998 0.683303 0.424642 0.653758 0.424642 \n",
- "149999 0.084957 0.354594 0.407188 0.354594 \n",
- "150000 0.499113 0.507211 0.500892 0.507211 \n",
+ " gaming_dl_(bytes) gaming_ul_(bytes) other_dl_(bytes) \\\n",
+ "count 150001.000000 150001.000000 150001.000000 \n",
+ "mean 0.921345 0.920386 0.919480 \n",
+ "std 0.078754 0.079740 0.080658 \n",
+ "min 0.000000 0.000000 0.000000 \n",
+ "25% 0.890892 0.889277 0.888433 \n",
+ "50% 0.945832 0.944860 0.944361 \n",
+ "75% 0.977462 0.977148 0.976788 \n",
+ "max 1.000000 1.000000 1.000000 \n",
"\n",
- "[150001 rows x 41 columns]"
- ]
- },
- "execution_count": 17,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 15,
- "metadata": {},
- "outputs": [
- {
- "ename": "MemoryError",
- "evalue": "Unable to allocate 554. TiB for an array with shape (76125951669885,) and data type float64",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mMemoryError\u001b[0m Traceback (most recent call last)",
- "\u001b[1;32m/home/jedi/Documents/Tenacademy/Week1/Telecom-Analysis/notebooks/outliers.ipynb Cell 11'\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 10\u001b[0m ax[\u001b[39m1\u001b[39m]\u001b[39m.\u001b[39mset_title(\u001b[39m\"\u001b[39m\u001b[39mScaled data\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m 13\u001b[0m num_cols \u001b[39m=\u001b[39m df\u001b[39m.\u001b[39mselect_dtypes(include\u001b[39m=\u001b[39mnp\u001b[39m.\u001b[39mnumber)\u001b[39m.\u001b[39mcolumns\n\u001b[0;32m---> 14\u001b[0m scaler(df[num_cols])\n",
- "\u001b[1;32m/home/jedi/Documents/Tenacademy/Week1/Telecom-Analysis/notebooks/outliers.ipynb Cell 11'\u001b[0m in \u001b[0;36mscaler\u001b[0;34m(df)\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[39m# plot both together to compare\u001b[39;00m\n\u001b[1;32m 6\u001b[0m fig, ax \u001b[39m=\u001b[39m plt\u001b[39m.\u001b[39msubplots(\u001b[39m1\u001b[39m,\u001b[39m2\u001b[39m, figsize\u001b[39m=\u001b[39m(\u001b[39m10\u001b[39m, \u001b[39m6\u001b[39m))\n\u001b[0;32m----> 7\u001b[0m sns\u001b[39m.\u001b[39;49mhistplot(df, ax\u001b[39m=\u001b[39;49max[\u001b[39m0\u001b[39;49m])\n\u001b[1;32m 8\u001b[0m ax[\u001b[39m0\u001b[39m]\u001b[39m.\u001b[39mset_title(\u001b[39m\"\u001b[39m\u001b[39mOriginal Data\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m 9\u001b[0m sns\u001b[39m.\u001b[39mhistplot(scaled_data, ax\u001b[39m=\u001b[39max[\u001b[39m1\u001b[39m])\n",
- "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/seaborn/distributions.py:1462\u001b[0m, in \u001b[0;36mhistplot\u001b[0;34m(data, x, y, hue, weights, stat, bins, binwidth, binrange, discrete, cumulative, common_bins, common_norm, multiple, element, fill, shrink, kde, kde_kws, line_kws, thresh, pthresh, pmax, cbar, cbar_ax, cbar_kws, palette, hue_order, hue_norm, color, log_scale, legend, ax, **kwargs)\u001b[0m\n\u001b[1;32m 1451\u001b[0m estimate_kws \u001b[39m=\u001b[39m \u001b[39mdict\u001b[39m(\n\u001b[1;32m 1452\u001b[0m stat\u001b[39m=\u001b[39mstat,\n\u001b[1;32m 1453\u001b[0m bins\u001b[39m=\u001b[39mbins,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1457\u001b[0m cumulative\u001b[39m=\u001b[39mcumulative,\n\u001b[1;32m 1458\u001b[0m )\n\u001b[1;32m 1460\u001b[0m \u001b[39mif\u001b[39;00m p\u001b[39m.\u001b[39munivariate:\n\u001b[0;32m-> 1462\u001b[0m p\u001b[39m.\u001b[39;49mplot_univariate_histogram(\n\u001b[1;32m 1463\u001b[0m multiple\u001b[39m=\u001b[39;49mmultiple,\n\u001b[1;32m 1464\u001b[0m element\u001b[39m=\u001b[39;49melement,\n\u001b[1;32m 1465\u001b[0m fill\u001b[39m=\u001b[39;49mfill,\n\u001b[1;32m 1466\u001b[0m shrink\u001b[39m=\u001b[39;49mshrink,\n\u001b[1;32m 1467\u001b[0m common_norm\u001b[39m=\u001b[39;49mcommon_norm,\n\u001b[1;32m 1468\u001b[0m common_bins\u001b[39m=\u001b[39;49mcommon_bins,\n\u001b[1;32m 1469\u001b[0m kde\u001b[39m=\u001b[39;49mkde,\n\u001b[1;32m 1470\u001b[0m kde_kws\u001b[39m=\u001b[39;49mkde_kws,\n\u001b[1;32m 1471\u001b[0m color\u001b[39m=\u001b[39;49mcolor,\n\u001b[1;32m 1472\u001b[0m legend\u001b[39m=\u001b[39;49mlegend,\n\u001b[1;32m 1473\u001b[0m estimate_kws\u001b[39m=\u001b[39;49mestimate_kws,\n\u001b[1;32m 1474\u001b[0m line_kws\u001b[39m=\u001b[39;49mline_kws,\n\u001b[1;32m 1475\u001b[0m \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs,\n\u001b[1;32m 1476\u001b[0m )\n\u001b[1;32m 1478\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 1480\u001b[0m p\u001b[39m.\u001b[39mplot_bivariate_histogram(\n\u001b[1;32m 1481\u001b[0m common_bins\u001b[39m=\u001b[39mcommon_bins,\n\u001b[1;32m 1482\u001b[0m common_norm\u001b[39m=\u001b[39mcommon_norm,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1492\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[1;32m 1493\u001b[0m )\n",
- "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/seaborn/distributions.py:404\u001b[0m, in \u001b[0;36m_DistributionPlotter.plot_univariate_histogram\u001b[0;34m(self, multiple, element, fill, common_norm, common_bins, shrink, kde, kde_kws, color, legend, line_kws, estimate_kws, **plot_kws)\u001b[0m\n\u001b[1;32m 402\u001b[0m \u001b[39mif\u001b[39;00m common_bins:\n\u001b[1;32m 403\u001b[0m all_observations \u001b[39m=\u001b[39m all_data[\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdata_variable]\n\u001b[0;32m--> 404\u001b[0m estimator\u001b[39m.\u001b[39;49mdefine_bin_params(\n\u001b[1;32m 405\u001b[0m all_observations,\n\u001b[1;32m 406\u001b[0m weights\u001b[39m=\u001b[39;49mall_data\u001b[39m.\u001b[39;49mget(\u001b[39m\"\u001b[39;49m\u001b[39mweights\u001b[39;49m\u001b[39m\"\u001b[39;49m, \u001b[39mNone\u001b[39;49;00m),\n\u001b[1;32m 407\u001b[0m )\n\u001b[1;32m 409\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 410\u001b[0m common_norm \u001b[39m=\u001b[39m \u001b[39mFalse\u001b[39;00m\n",
- "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/seaborn/_statistics.py:269\u001b[0m, in \u001b[0;36mHistogram.define_bin_params\u001b[0;34m(self, x1, x2, weights, cache)\u001b[0m\n\u001b[1;32m 266\u001b[0m \u001b[39m\"\"\"Given data, return numpy.histogram parameters to define bins.\"\"\"\u001b[39;00m\n\u001b[1;32m 267\u001b[0m \u001b[39mif\u001b[39;00m x2 \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m--> 269\u001b[0m bin_edges \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_define_bin_edges(\n\u001b[1;32m 270\u001b[0m x1, weights, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mbins, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mbinwidth, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mbinrange, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mdiscrete,\n\u001b[1;32m 271\u001b[0m )\n\u001b[1;32m 273\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mbins, (\u001b[39mstr\u001b[39m, Number)):\n\u001b[1;32m 274\u001b[0m n_bins \u001b[39m=\u001b[39m \u001b[39mlen\u001b[39m(bin_edges) \u001b[39m-\u001b[39m \u001b[39m1\u001b[39m\n",
- "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/seaborn/_statistics.py:260\u001b[0m, in \u001b[0;36mHistogram._define_bin_edges\u001b[0;34m(self, x, weights, bins, binwidth, binrange, discrete)\u001b[0m\n\u001b[1;32m 258\u001b[0m bin_edges \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39marange(start, stop \u001b[39m+\u001b[39m step, step)\n\u001b[1;32m 259\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m--> 260\u001b[0m bin_edges \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39;49mhistogram_bin_edges(\n\u001b[1;32m 261\u001b[0m x, bins, binrange, weights,\n\u001b[1;32m 262\u001b[0m )\n\u001b[1;32m 263\u001b[0m \u001b[39mreturn\u001b[39;00m bin_edges\n",
- "File \u001b[0;32m<__array_function__ internals>:5\u001b[0m, in \u001b[0;36mhistogram_bin_edges\u001b[0;34m(*args, **kwargs)\u001b[0m\n",
- "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/numpy/lib/histograms.py:668\u001b[0m, in \u001b[0;36mhistogram_bin_edges\u001b[0;34m(a, bins, range, weights)\u001b[0m\n\u001b[1;32m 472\u001b[0m \u001b[39mr\u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 473\u001b[0m \u001b[39mFunction to calculate only the edges of the bins used by the `histogram`\u001b[39;00m\n\u001b[1;32m 474\u001b[0m \u001b[39mfunction.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 665\u001b[0m \n\u001b[1;32m 666\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 667\u001b[0m a, weights \u001b[39m=\u001b[39m _ravel_and_check_weights(a, weights)\n\u001b[0;32m--> 668\u001b[0m bin_edges, _ \u001b[39m=\u001b[39m _get_bin_edges(a, bins, \u001b[39mrange\u001b[39;49m, weights)\n\u001b[1;32m 669\u001b[0m \u001b[39mreturn\u001b[39;00m bin_edges\n",
- "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/numpy/lib/histograms.py:446\u001b[0m, in \u001b[0;36m_get_bin_edges\u001b[0;34m(a, bins, range, weights)\u001b[0m\n\u001b[1;32m 443\u001b[0m bin_type \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mresult_type(bin_type, \u001b[39mfloat\u001b[39m)\n\u001b[1;32m 445\u001b[0m \u001b[39m# bin edges must be computed\u001b[39;00m\n\u001b[0;32m--> 446\u001b[0m bin_edges \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39;49mlinspace(\n\u001b[1;32m 447\u001b[0m first_edge, last_edge, n_equal_bins \u001b[39m+\u001b[39;49m \u001b[39m1\u001b[39;49m,\n\u001b[1;32m 448\u001b[0m endpoint\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m, dtype\u001b[39m=\u001b[39;49mbin_type)\n\u001b[1;32m 449\u001b[0m \u001b[39mreturn\u001b[39;00m bin_edges, (first_edge, last_edge, n_equal_bins)\n\u001b[1;32m 450\u001b[0m \u001b[39melse\u001b[39;00m:\n",
- "File \u001b[0;32m<__array_function__ internals>:5\u001b[0m, in \u001b[0;36mlinspace\u001b[0;34m(*args, **kwargs)\u001b[0m\n",
- "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/numpy/core/function_base.py:135\u001b[0m, in \u001b[0;36mlinspace\u001b[0;34m(start, stop, num, endpoint, retstep, dtype, axis)\u001b[0m\n\u001b[1;32m 132\u001b[0m dtype \u001b[39m=\u001b[39m dt\n\u001b[1;32m 134\u001b[0m delta \u001b[39m=\u001b[39m stop \u001b[39m-\u001b[39m start\n\u001b[0;32m--> 135\u001b[0m y \u001b[39m=\u001b[39m _nx\u001b[39m.\u001b[39;49marange(\u001b[39m0\u001b[39;49m, num, dtype\u001b[39m=\u001b[39;49mdt)\u001b[39m.\u001b[39mreshape((\u001b[39m-\u001b[39m\u001b[39m1\u001b[39m,) \u001b[39m+\u001b[39m (\u001b[39m1\u001b[39m,) \u001b[39m*\u001b[39m ndim(delta))\n\u001b[1;32m 136\u001b[0m \u001b[39m# In-place multiplication y *= delta/div is faster, but prevents the multiplicant\u001b[39;00m\n\u001b[1;32m 137\u001b[0m \u001b[39m# from overriding what class is produced, and thus prevents, e.g. use of Quantities,\u001b[39;00m\n\u001b[1;32m 138\u001b[0m \u001b[39m# see gh-7142. Hence, we multiply in place only for standard scalar types.\u001b[39;00m\n\u001b[1;32m 139\u001b[0m _mult_inplace \u001b[39m=\u001b[39m _nx\u001b[39m.\u001b[39misscalar(delta)\n",
- "\u001b[0;31mMemoryError\u001b[0m: Unable to allocate 554. TiB for an array with shape (76125951669885,) and data type float64"
- ]
- },
- {
- "data": {
- "image/png": "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",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# mix-max scale the data between 0 and 1\n",
- "def scaler(df):\n",
- " scaled_data = minmax_scaler.fit_transform(df)\n",
- "\n",
- " # plot both together to compare\n",
- " fig, ax = plt.subplots(1,2, figsize=(10, 6))\n",
- " sns.histplot(df, ax=ax[0])\n",
- " ax[0].set_title(\"Original Data\")\n",
- " sns.histplot(scaled_data, ax=ax[1])\n",
- " ax[1].set_title(\"Scaled data\")\n",
- " \n",
- " \n",
- "num_cols = df.select_dtypes(include=np.number).columns\n",
- "scaler(df[num_cols])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 21,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- ""
+ " other_ul_(bytes) total_ul_(bytes) total_dl_(bytes) \n",
+ "count 150001.000000 150001.000000 150001.000000 \n",
+ "mean 0.913696 0.792328 0.813121 \n",
+ "std 0.086596 0.092031 0.156937 \n",
+ "min 0.000000 0.000000 0.000000 \n",
+ "25% 0.880881 0.740687 0.729090 \n",
+ "50% 0.940247 0.805338 0.858877 \n",
+ "75% 0.975011 0.858383 0.937063 \n",
+ "max 1.000000 1.000000 1.000000 \n",
+ "\n",
+ "[8 rows x 50 columns]"
]
},
- "execution_count": 21,
+ "execution_count": 55,
"metadata": {},
"output_type": "execute_result"
- },
- {
- "data": {
- "image/png": "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",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
}
],
"source": [
- "df[num_cols].boxplot()"
+ "df_cop.describe()"
]
},
{
- "cell_type": "code",
- "execution_count": 22,
+ "cell_type": "markdown",
"metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": "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",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
"source": [
- "from sklearn.preprocessing import Normalizer\n",
- "\n",
- "def normalizer(df):\n",
- " norm = Normalizer()\n",
- " # normalize the exponential data with boxcox\n",
- " normalized_data = norm.fit_transform(df)\n",
- "\n",
- " # plot both together to compare\n",
- " fig, ax=plt.subplots(1,2, figsize=(10, 6))\n",
- " sns.histplot(df, ax=ax[0])\n",
- " ax[0].set_title(\"Original Data\")\n",
- " sns.histplot(normalized_data[0], ax=ax[1])\n",
- " ax[1].set_title(\"Normalized data\")\n",
- "\n",
- "normalizer(df[num_cols])"
+ "Save the data\n",
+ "\n"
]
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": 56,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- ""
- ]
- },
- "execution_count": 23,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": "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",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
- "df[num_cols].boxplot()"
+ "df_cop.to_csv('../data/cleaned_data_outliers.csv', index=False)"
]
}
],
diff --git a/notebooks/preprocess.ipynb b/notebooks/preprocess.ipynb
index da67e32..93f07c9 100644
--- a/notebooks/preprocess.ipynb
+++ b/notebooks/preprocess.ipynb
@@ -12,7 +12,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
@@ -26,7 +26,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -36,7 +36,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -57,7 +57,7 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
@@ -66,7 +66,7 @@
},
{
"cell_type": "code",
- "execution_count": 29,
+ "execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
@@ -75,7 +75,7 @@
},
{
"cell_type": "code",
- "execution_count": 30,
+ "execution_count": 6,
"metadata": {},
"outputs": [
{
@@ -287,7 +287,7 @@
"[5 rows x 55 columns]"
]
},
- "execution_count": 30,
+ "execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
@@ -885,6 +885,89 @@
"duplicated_entries.shape"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([[,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ],\n",
+ " [,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ],\n",
+ " [,\n",
+ " ,\n",
+ " 1 Mbps (%)'}>,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " 300 Kbps (%)'}>],\n",
+ " [,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ],\n",
+ " [,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ],\n",
+ " [,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ],\n",
+ " [,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ,\n",
+ " ],\n",
+ " [,\n",
+ " , , , ,\n",
+ " , ]], dtype=object)"
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "df.hist(bins=80, figsize=(30,25))"
+ ]
+ },
{
"cell_type": "code",
"execution_count": 37,
diff --git a/notebooks/userOverview.ipynb b/notebooks/userOverview.ipynb
index 35a8651..89097fd 100644
--- a/notebooks/userOverview.ipynb
+++ b/notebooks/userOverview.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
@@ -12,7 +12,7 @@
},
{
"cell_type": "code",
- "execution_count": 128,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -28,7 +28,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -49,7 +49,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
@@ -66,13 +66,23 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"sys.path.append(os.path.abspath(os.path.join('../scripts')))\n",
"from preprocessing import PreProcess\n",
- "from overview import Overview"
+ "from overview import Overview\n",
+ "from plot import Plot"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pl = Plot()"
]
},
{
@@ -84,11 +94,30 @@
},
{
"cell_type": "code",
- "execution_count": 143,
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# df = pd.read_excel('../data/Week1_challenge_data_source.xlsx')\n",
+ "df_org = pd.read_csv('../data/cleaned_data_outliers.csv')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df = df_org.copy()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
- "df = pd.read_excel('../data/Week1_challenge_data_source.xlsx')"
+ "overview = Overview(df)"
]
},
{
@@ -100,7 +129,7 @@
},
{
"cell_type": "code",
- "execution_count": 144,
+ "execution_count": 10,
"metadata": {},
"outputs": [
{
@@ -124,27 +153,27 @@
" \n",
" \n",
" | \n",
- " Bearer Id | \n",
- " Start | \n",
- " Start ms | \n",
- " End | \n",
- " End ms | \n",
- " Dur. (ms) | \n",
- " IMSI | \n",
- " MSISDN/Number | \n",
- " IMEI | \n",
- " Last Location Name | \n",
+ " bearer_id | \n",
+ " start | \n",
+ " start_ms | \n",
+ " end | \n",
+ " end_ms | \n",
+ " dur._(ms) | \n",
+ " imsi | \n",
+ " msisdn/number | \n",
+ " imei | \n",
+ " last_location_name | \n",
" ... | \n",
- " Youtube DL (Bytes) | \n",
- " Youtube UL (Bytes) | \n",
- " Netflix DL (Bytes) | \n",
- " Netflix UL (Bytes) | \n",
- " Gaming DL (Bytes) | \n",
- " Gaming UL (Bytes) | \n",
- " Other DL (Bytes) | \n",
- " Other UL (Bytes) | \n",
- " Total UL (Bytes) | \n",
- " Total DL (Bytes) | \n",
+ " youtube_dl_(bytes) | \n",
+ " youtube_ul_(bytes) | \n",
+ " netflix_dl_(bytes) | \n",
+ " netflix_ul_(bytes) | \n",
+ " gaming_dl_(bytes) | \n",
+ " gaming_ul_(bytes) | \n",
+ " other_dl_(bytes) | \n",
+ " other_ul_(bytes) | \n",
+ " total_ul_(bytes) | \n",
+ " total_dl_(bytes) | \n",
" \n",
" \n",
" \n",
@@ -155,22 +184,22 @@
" 770.0 | \n",
" 2019-04-25 14:35:31 | \n",
" 662.0 | \n",
- " 1823652.0 | \n",
+ " 0.996516 | \n",
" 2.082014e+14 | \n",
" 3.366496e+10 | \n",
" 3.552121e+13 | \n",
" 9164566995485190 | \n",
" ... | \n",
- " 15854611.0 | \n",
- " 2501332.0 | \n",
- " 8198936.0 | \n",
- " 9656251.0 | \n",
- " 278082303.0 | \n",
- " 14344150.0 | \n",
- " 171744450.0 | \n",
- " 8814393.0 | \n",
- " 36749741.0 | \n",
- " 308879636.0 | \n",
+ " 0.970502 | \n",
+ " 0.822514 | \n",
+ " 0.921154 | \n",
+ " 0.938287 | \n",
+ " 0.912787 | \n",
+ " 0.988555 | \n",
+ " 0.872215 | \n",
+ " 0.945762 | \n",
+ " 0.771197 | \n",
+ " 0.778526 | \n",
" \n",
" \n",
" | 1 | \n",
@@ -179,22 +208,22 @@
" 235.0 | \n",
" 2019-04-25 08:15:48 | \n",
" 606.0 | \n",
- " 1365104.0 | \n",
+ " 0.944446 | \n",
" 2.082019e+14 | \n",
" 3.368185e+10 | \n",
" 3.579401e+13 | \n",
" L77566A | \n",
" ... | \n",
- " 20247395.0 | \n",
- " 19111729.0 | \n",
- " 18338413.0 | \n",
- " 17227132.0 | \n",
- " 608750074.0 | \n",
- " 1170709.0 | \n",
- " 526904238.0 | \n",
- " 15055145.0 | \n",
- " 53800391.0 | \n",
- " 653384965.0 | \n",
+ " 0.989326 | \n",
+ " 0.988470 | \n",
+ " 0.982026 | \n",
+ " 0.981643 | \n",
+ " 0.974370 | \n",
+ " 0.788814 | \n",
+ " 0.962224 | \n",
+ " 0.991811 | \n",
+ " 0.886427 | \n",
+ " 0.933206 | \n",
" \n",
" \n",
" | 2 | \n",
@@ -203,22 +232,22 @@
" 1.0 | \n",
" 2019-04-25 11:58:13 | \n",
" 652.0 | \n",
- " 1361762.0 | \n",
+ " 0.944006 | \n",
" 2.082003e+14 | \n",
" 3.376063e+10 | \n",
" 3.528151e+13 | \n",
" D42335A | \n",
" ... | \n",
- " 19725661.0 | \n",
- " 14699576.0 | \n",
- " 17587794.0 | \n",
- " 6163408.0 | \n",
- " 229584621.0 | \n",
- " 395630.0 | \n",
- " 410692588.0 | \n",
- " 4215763.0 | \n",
- " 27883638.0 | \n",
- " 279807335.0 | \n",
+ " 0.987317 | \n",
+ " 0.967048 | \n",
+ " 0.978865 | \n",
+ " 0.904660 | \n",
+ " 0.897724 | \n",
+ " 0.702334 | \n",
+ " 0.942217 | \n",
+ " 0.882317 | \n",
+ " 0.687728 | \n",
+ " 0.758117 | \n",
" \n",
" \n",
"\n",
@@ -226,35 +255,35 @@
""
],
"text/plain": [
- " Bearer Id Start Start ms End End ms \\\n",
- "0 1.311448e+19 2019-04-04 12:01:18 770.0 2019-04-25 14:35:31 662.0 \n",
- "1 1.311448e+19 2019-04-09 13:04:04 235.0 2019-04-25 08:15:48 606.0 \n",
- "2 1.311448e+19 2019-04-09 17:42:11 1.0 2019-04-25 11:58:13 652.0 \n",
+ " bearer_id start start_ms end end_ms \\\n",
+ "0 1.311448e+19 2019-04-04 12:01:18 770.0 2019-04-25 14:35:31 662.0 \n",
+ "1 1.311448e+19 2019-04-09 13:04:04 235.0 2019-04-25 08:15:48 606.0 \n",
+ "2 1.311448e+19 2019-04-09 17:42:11 1.0 2019-04-25 11:58:13 652.0 \n",
"\n",
- " Dur. (ms) IMSI MSISDN/Number IMEI Last Location Name \\\n",
- "0 1823652.0 2.082014e+14 3.366496e+10 3.552121e+13 9164566995485190 \n",
- "1 1365104.0 2.082019e+14 3.368185e+10 3.579401e+13 L77566A \n",
- "2 1361762.0 2.082003e+14 3.376063e+10 3.528151e+13 D42335A \n",
+ " dur._(ms) imsi msisdn/number imei last_location_name \\\n",
+ "0 0.996516 2.082014e+14 3.366496e+10 3.552121e+13 9164566995485190 \n",
+ "1 0.944446 2.082019e+14 3.368185e+10 3.579401e+13 L77566A \n",
+ "2 0.944006 2.082003e+14 3.376063e+10 3.528151e+13 D42335A \n",
"\n",
- " ... Youtube DL (Bytes) Youtube UL (Bytes) Netflix DL (Bytes) \\\n",
- "0 ... 15854611.0 2501332.0 8198936.0 \n",
- "1 ... 20247395.0 19111729.0 18338413.0 \n",
- "2 ... 19725661.0 14699576.0 17587794.0 \n",
+ " ... youtube_dl_(bytes) youtube_ul_(bytes) netflix_dl_(bytes) \\\n",
+ "0 ... 0.970502 0.822514 0.921154 \n",
+ "1 ... 0.989326 0.988470 0.982026 \n",
+ "2 ... 0.987317 0.967048 0.978865 \n",
"\n",
- " Netflix UL (Bytes) Gaming DL (Bytes) Gaming UL (Bytes) Other DL (Bytes) \\\n",
- "0 9656251.0 278082303.0 14344150.0 171744450.0 \n",
- "1 17227132.0 608750074.0 1170709.0 526904238.0 \n",
- "2 6163408.0 229584621.0 395630.0 410692588.0 \n",
+ " netflix_ul_(bytes) gaming_dl_(bytes) gaming_ul_(bytes) other_dl_(bytes) \\\n",
+ "0 0.938287 0.912787 0.988555 0.872215 \n",
+ "1 0.981643 0.974370 0.788814 0.962224 \n",
+ "2 0.904660 0.897724 0.702334 0.942217 \n",
"\n",
- " Other UL (Bytes) Total UL (Bytes) Total DL (Bytes) \n",
- "0 8814393.0 36749741.0 308879636.0 \n",
- "1 15055145.0 53800391.0 653384965.0 \n",
- "2 4215763.0 27883638.0 279807335.0 \n",
+ " other_ul_(bytes) total_ul_(bytes) total_dl_(bytes) \n",
+ "0 0.945762 0.771197 0.778526 \n",
+ "1 0.991811 0.886427 0.933206 \n",
+ "2 0.882317 0.687728 0.758117 \n",
"\n",
"[3 rows x 55 columns]"
]
},
- "execution_count": 144,
+ "execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
@@ -273,7 +302,7 @@
},
{
"cell_type": "code",
- "execution_count": 145,
+ "execution_count": 11,
"metadata": {},
"outputs": [
{
@@ -292,7 +321,7 @@
},
{
"cell_type": "code",
- "execution_count": 146,
+ "execution_count": 12,
"metadata": {},
"outputs": [
{
@@ -316,221 +345,221 @@
" \n",
" \n",
" | \n",
- " Bearer Id | \n",
- " Start ms | \n",
- " End ms | \n",
- " Dur. (ms) | \n",
- " IMSI | \n",
- " MSISDN/Number | \n",
- " IMEI | \n",
- " Avg RTT DL (ms) | \n",
- " Avg RTT UL (ms) | \n",
- " Avg Bearer TP DL (kbps) | \n",
+ " bearer_id | \n",
+ " start_ms | \n",
+ " end_ms | \n",
+ " dur._(ms) | \n",
+ " imsi | \n",
+ " msisdn/number | \n",
+ " imei | \n",
+ " avg_rtt_dl_(ms) | \n",
+ " avg_rtt_ul_(ms) | \n",
+ " avg_bearer_tp_dl_(kbps) | \n",
" ... | \n",
- " Youtube DL (Bytes) | \n",
- " Youtube UL (Bytes) | \n",
- " Netflix DL (Bytes) | \n",
- " Netflix UL (Bytes) | \n",
- " Gaming DL (Bytes) | \n",
- " Gaming UL (Bytes) | \n",
- " Other DL (Bytes) | \n",
- " Other UL (Bytes) | \n",
- " Total UL (Bytes) | \n",
- " Total DL (Bytes) | \n",
+ " youtube_dl_(bytes) | \n",
+ " youtube_ul_(bytes) | \n",
+ " netflix_dl_(bytes) | \n",
+ " netflix_ul_(bytes) | \n",
+ " gaming_dl_(bytes) | \n",
+ " gaming_ul_(bytes) | \n",
+ " other_dl_(bytes) | \n",
+ " other_ul_(bytes) | \n",
+ " total_ul_(bytes) | \n",
+ " total_dl_(bytes) | \n",
" \n",
" \n",
" \n",
" \n",
" | count | \n",
- " 1.490100e+05 | \n",
- " 150000.000000 | \n",
- " 150000.000000 | \n",
- " 1.500000e+05 | \n",
- " 1.494310e+05 | \n",
- " 1.489350e+05 | \n",
- " 1.494290e+05 | \n",
- " 122172.000000 | \n",
- " 122189.000000 | \n",
- " 150000.000000 | \n",
- " ... | \n",
- " 1.500010e+05 | \n",
" 1.500010e+05 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
" 1.500010e+05 | \n",
" 1.500010e+05 | \n",
" 1.500010e+05 | \n",
" 1.500010e+05 | \n",
" 1.500010e+05 | \n",
" 1.500010e+05 | \n",
- " 1.500000e+05 | \n",
- " 1.500000e+05 | \n",
+ " ... | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
+ " 150001.000000 | \n",
" \n",
" \n",
" | mean | \n",
- " 1.013887e+19 | \n",
- " 499.188200 | \n",
- " 498.800880 | \n",
- " 1.046086e+05 | \n",
+ " 1.012045e+19 | \n",
+ " 499.188199 | \n",
+ " 498.800888 | \n",
+ " 0.439023 | \n",
" 2.082016e+14 | \n",
- " 4.188282e+10 | \n",
- " 4.847455e+13 | \n",
- " 109.795706 | \n",
- " 17.662883 | \n",
- " 13300.045927 | \n",
+ " 4.182441e+10 | \n",
+ " 4.842592e+13 | \n",
+ " -inf | \n",
+ " -inf | \n",
+ " -inf | \n",
" ... | \n",
- " 1.163407e+07 | \n",
- " 1.100941e+07 | \n",
- " 1.162685e+07 | \n",
- " 1.100175e+07 | \n",
- " 4.220447e+08 | \n",
- " 8.288398e+06 | \n",
- " 4.211005e+08 | \n",
- " 8.264799e+06 | \n",
- " 4.112121e+07 | \n",
- " 4.546434e+08 | \n",
+ " 0.923116 | \n",
+ " 0.918437 | \n",
+ " 0.924240 | \n",
+ " 0.925019 | \n",
+ " 0.921345 | \n",
+ " 0.920386 | \n",
+ " 0.919480 | \n",
+ " 0.913696 | \n",
+ " 0.792328 | \n",
+ " 0.813121 | \n",
" \n",
" \n",
" | std | \n",
- " 2.893173e+18 | \n",
- " 288.611834 | \n",
- " 288.097653 | \n",
- " 8.103762e+04 | \n",
- " 2.148809e+10 | \n",
- " 2.447443e+12 | \n",
- " 2.241637e+13 | \n",
- " 619.782739 | \n",
- " 84.793524 | \n",
- " 23971.878541 | \n",
+ " 2.892438e+18 | \n",
+ " 288.610872 | \n",
+ " 288.096693 | \n",
+ " 0.131061 | \n",
+ " 2.144723e+10 | \n",
+ " 2.438731e+12 | \n",
+ " 2.238739e+13 | \n",
+ " NaN | \n",
+ " NaN | \n",
+ " NaN | \n",
" ... | \n",
- " 6.710569e+06 | \n",
- " 6.345423e+06 | \n",
- " 6.725218e+06 | \n",
- " 6.359490e+06 | \n",
- " 2.439675e+08 | \n",
- " 4.782700e+06 | \n",
- " 2.432050e+08 | \n",
- " 4.769004e+06 | \n",
- " 1.127639e+07 | \n",
- " 2.441429e+08 | \n",
+ " 0.076958 | \n",
+ " 0.081745 | \n",
+ " 0.075821 | \n",
+ " 0.074999 | \n",
+ " 0.078754 | \n",
+ " 0.079740 | \n",
+ " 0.080658 | \n",
+ " 0.086596 | \n",
+ " 0.092031 | \n",
+ " 0.156937 | \n",
" \n",
" \n",
" | min | \n",
" 6.917538e+18 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
- " 7.142000e+03 | \n",
+ " 0.000000 | \n",
" 2.040471e+14 | \n",
" 3.360100e+10 | \n",
" 4.400152e+11 | \n",
+ " -inf | \n",
+ " -inf | \n",
+ " -inf | \n",
+ " ... | \n",
+ " 0.000000 | \n",
+ " 0.000000 | \n",
+ " 0.000000 | \n",
+ " 0.000000 | \n",
+ " 0.000000 | \n",
+ " 0.000000 | \n",
+ " 0.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
" 0.000000 | \n",
- " ... | \n",
- " 5.300000e+01 | \n",
- " 1.050000e+02 | \n",
- " 4.200000e+01 | \n",
- " 3.500000e+01 | \n",
- " 2.516000e+03 | \n",
- " 5.900000e+01 | \n",
- " 3.290000e+03 | \n",
- " 1.480000e+02 | \n",
- " 2.866892e+06 | \n",
- " 7.114041e+06 | \n",
" \n",
" \n",
" | 25% | \n",
" 7.349883e+18 | \n",
" 250.000000 | \n",
" 251.000000 | \n",
- " 5.744050e+04 | \n",
+ " 0.374827 | \n",
" 2.082014e+14 | \n",
- " 3.365130e+10 | \n",
- " 3.546071e+13 | \n",
- " 32.000000 | \n",
- " 2.000000 | \n",
- " 43.000000 | \n",
+ " 3.365151e+10 | \n",
+ " 3.546261e+13 | \n",
+ " 3.555348e+00 | \n",
+ " 1.098612e+00 | \n",
+ " 3.761200e+00 | \n",
" ... | \n",
- " 5.833501e+06 | \n",
- " 5.517965e+06 | \n",
- " 5.777156e+06 | \n",
- " 5.475981e+06 | \n",
- " 2.104733e+08 | \n",
- " 4.128476e+06 | \n",
- " 2.101869e+08 | \n",
- " 4.145943e+06 | \n",
- " 3.322201e+07 | \n",
- " 2.431068e+08 | \n",
+ " 0.893543 | \n",
+ " 0.887084 | \n",
+ " 0.894682 | \n",
+ " 0.895803 | \n",
+ " 0.890892 | \n",
+ " 0.889277 | \n",
+ " 0.888433 | \n",
+ " 0.880881 | \n",
+ " 0.740687 | \n",
+ " 0.729090 | \n",
" \n",
" \n",
" | 50% | \n",
" 7.349883e+18 | \n",
" 499.000000 | \n",
" 500.000000 | \n",
- " 8.639900e+04 | \n",
+ " 0.448219 | \n",
" 2.082015e+14 | \n",
" 3.366371e+10 | \n",
" 3.572201e+13 | \n",
- " 45.000000 | \n",
- " 5.000000 | \n",
- " 63.000000 | \n",
+ " 3.806662e+00 | \n",
+ " 1.609438e+00 | \n",
+ " 4.143135e+00 | \n",
" ... | \n",
- " 1.161602e+07 | \n",
- " 1.101345e+07 | \n",
- " 1.164222e+07 | \n",
- " 1.099638e+07 | \n",
- " 4.234081e+08 | \n",
- " 8.291208e+06 | \n",
- " 4.218030e+08 | \n",
- " 8.267071e+06 | \n",
- " 4.114331e+07 | \n",
- " 4.558411e+08 | \n",
+ " 0.946558 | \n",
+ " 0.943486 | \n",
+ " 0.947668 | \n",
+ " 0.948020 | \n",
+ " 0.945832 | \n",
+ " 0.944860 | \n",
+ " 0.944361 | \n",
+ " 0.940247 | \n",
+ " 0.805338 | \n",
+ " 0.858877 | \n",
" \n",
" \n",
" | 75% | \n",
" 1.304243e+19 | \n",
" 749.000000 | \n",
" 750.000000 | \n",
- " 1.324302e+05 | \n",
+ " 0.525004 | \n",
" 2.082018e+14 | \n",
- " 3.368349e+10 | \n",
+ " 3.368307e+10 | \n",
" 8.611970e+13 | \n",
- " 70.000000 | \n",
- " 15.000000 | \n",
- " 19710.750000 | \n",
+ " 4.127134e+00 | \n",
+ " 2.397895e+00 | \n",
+ " 9.888881e+00 | \n",
" ... | \n",
- " 1.744852e+07 | \n",
- " 1.651556e+07 | \n",
- " 1.747048e+07 | \n",
- " 1.650727e+07 | \n",
- " 6.331742e+08 | \n",
- " 1.243162e+07 | \n",
- " 6.316918e+08 | \n",
- " 1.238415e+07 | \n",
- " 4.903424e+07 | \n",
- " 6.657055e+08 | \n",
+ " 0.977875 | \n",
+ " 0.976554 | \n",
+ " 0.978359 | \n",
+ " 0.978446 | \n",
+ " 0.977462 | \n",
+ " 0.977148 | \n",
+ " 0.976788 | \n",
+ " 0.975011 | \n",
+ " 0.858383 | \n",
+ " 0.937063 | \n",
" \n",
" \n",
" | max | \n",
" 1.318654e+19 | \n",
" 999.000000 | \n",
" 999.000000 | \n",
- " 1.859336e+06 | \n",
+ " 1.000000 | \n",
" 2.140743e+14 | \n",
" 8.823971e+14 | \n",
" 9.900120e+13 | \n",
- " 96923.000000 | \n",
- " 7120.000000 | \n",
- " 378160.000000 | \n",
+ " 1.148167e+01 | \n",
+ " 8.870663e+00 | \n",
+ " 1.284307e+01 | \n",
" ... | \n",
- " 2.325910e+07 | \n",
- " 2.201196e+07 | \n",
- " 2.325919e+07 | \n",
- " 2.201196e+07 | \n",
- " 8.434419e+08 | \n",
- " 1.655879e+07 | \n",
- " 8.434425e+08 | \n",
- " 1.655882e+07 | \n",
- " 7.833131e+07 | \n",
- " 9.029696e+08 | \n",
+ " 1.000000 | \n",
+ " 1.000000 | \n",
+ " 1.000000 | \n",
+ " 1.000000 | \n",
+ " 1.000000 | \n",
+ " 1.000000 | \n",
+ " 1.000000 | \n",
+ " 1.000000 | \n",
+ " 1.000000 | \n",
+ " 1.000000 | \n",
" \n",
" \n",
"\n",
@@ -538,70 +567,70 @@
""
],
"text/plain": [
- " Bearer Id Start ms End ms Dur. (ms) IMSI \\\n",
- "count 1.490100e+05 150000.000000 150000.000000 1.500000e+05 1.494310e+05 \n",
- "mean 1.013887e+19 499.188200 498.800880 1.046086e+05 2.082016e+14 \n",
- "std 2.893173e+18 288.611834 288.097653 8.103762e+04 2.148809e+10 \n",
- "min 6.917538e+18 0.000000 0.000000 7.142000e+03 2.040471e+14 \n",
- "25% 7.349883e+18 250.000000 251.000000 5.744050e+04 2.082014e+14 \n",
- "50% 7.349883e+18 499.000000 500.000000 8.639900e+04 2.082015e+14 \n",
- "75% 1.304243e+19 749.000000 750.000000 1.324302e+05 2.082018e+14 \n",
- "max 1.318654e+19 999.000000 999.000000 1.859336e+06 2.140743e+14 \n",
+ " bearer_id start_ms end_ms dur._(ms) \\\n",
+ "count 1.500010e+05 150001.000000 150001.000000 150001.000000 \n",
+ "mean 1.012045e+19 499.188199 498.800888 0.439023 \n",
+ "std 2.892438e+18 288.610872 288.096693 0.131061 \n",
+ "min 6.917538e+18 0.000000 0.000000 0.000000 \n",
+ "25% 7.349883e+18 250.000000 251.000000 0.374827 \n",
+ "50% 7.349883e+18 499.000000 500.000000 0.448219 \n",
+ "75% 1.304243e+19 749.000000 750.000000 0.525004 \n",
+ "max 1.318654e+19 999.000000 999.000000 1.000000 \n",
"\n",
- " MSISDN/Number IMEI Avg RTT DL (ms) Avg RTT UL (ms) \\\n",
- "count 1.489350e+05 1.494290e+05 122172.000000 122189.000000 \n",
- "mean 4.188282e+10 4.847455e+13 109.795706 17.662883 \n",
- "std 2.447443e+12 2.241637e+13 619.782739 84.793524 \n",
- "min 3.360100e+10 4.400152e+11 0.000000 0.000000 \n",
- "25% 3.365130e+10 3.546071e+13 32.000000 2.000000 \n",
- "50% 3.366371e+10 3.572201e+13 45.000000 5.000000 \n",
- "75% 3.368349e+10 8.611970e+13 70.000000 15.000000 \n",
- "max 8.823971e+14 9.900120e+13 96923.000000 7120.000000 \n",
+ " imsi msisdn/number imei avg_rtt_dl_(ms) \\\n",
+ "count 1.500010e+05 1.500010e+05 1.500010e+05 1.500010e+05 \n",
+ "mean 2.082016e+14 4.182441e+10 4.842592e+13 -inf \n",
+ "std 2.144723e+10 2.438731e+12 2.238739e+13 NaN \n",
+ "min 2.040471e+14 3.360100e+10 4.400152e+11 -inf \n",
+ "25% 2.082014e+14 3.365151e+10 3.546261e+13 3.555348e+00 \n",
+ "50% 2.082015e+14 3.366371e+10 3.572201e+13 3.806662e+00 \n",
+ "75% 2.082018e+14 3.368307e+10 8.611970e+13 4.127134e+00 \n",
+ "max 2.140743e+14 8.823971e+14 9.900120e+13 1.148167e+01 \n",
"\n",
- " Avg Bearer TP DL (kbps) ... Youtube DL (Bytes) Youtube UL (Bytes) \\\n",
- "count 150000.000000 ... 1.500010e+05 1.500010e+05 \n",
- "mean 13300.045927 ... 1.163407e+07 1.100941e+07 \n",
- "std 23971.878541 ... 6.710569e+06 6.345423e+06 \n",
- "min 0.000000 ... 5.300000e+01 1.050000e+02 \n",
- "25% 43.000000 ... 5.833501e+06 5.517965e+06 \n",
- "50% 63.000000 ... 1.161602e+07 1.101345e+07 \n",
- "75% 19710.750000 ... 1.744852e+07 1.651556e+07 \n",
- "max 378160.000000 ... 2.325910e+07 2.201196e+07 \n",
+ " avg_rtt_ul_(ms) avg_bearer_tp_dl_(kbps) ... youtube_dl_(bytes) \\\n",
+ "count 1.500010e+05 1.500010e+05 ... 150001.000000 \n",
+ "mean -inf -inf ... 0.923116 \n",
+ "std NaN NaN ... 0.076958 \n",
+ "min -inf -inf ... 0.000000 \n",
+ "25% 1.098612e+00 3.761200e+00 ... 0.893543 \n",
+ "50% 1.609438e+00 4.143135e+00 ... 0.946558 \n",
+ "75% 2.397895e+00 9.888881e+00 ... 0.977875 \n",
+ "max 8.870663e+00 1.284307e+01 ... 1.000000 \n",
"\n",
- " Netflix DL (Bytes) Netflix UL (Bytes) Gaming DL (Bytes) \\\n",
- "count 1.500010e+05 1.500010e+05 1.500010e+05 \n",
- "mean 1.162685e+07 1.100175e+07 4.220447e+08 \n",
- "std 6.725218e+06 6.359490e+06 2.439675e+08 \n",
- "min 4.200000e+01 3.500000e+01 2.516000e+03 \n",
- "25% 5.777156e+06 5.475981e+06 2.104733e+08 \n",
- "50% 1.164222e+07 1.099638e+07 4.234081e+08 \n",
- "75% 1.747048e+07 1.650727e+07 6.331742e+08 \n",
- "max 2.325919e+07 2.201196e+07 8.434419e+08 \n",
+ " youtube_ul_(bytes) netflix_dl_(bytes) netflix_ul_(bytes) \\\n",
+ "count 150001.000000 150001.000000 150001.000000 \n",
+ "mean 0.918437 0.924240 0.925019 \n",
+ "std 0.081745 0.075821 0.074999 \n",
+ "min 0.000000 0.000000 0.000000 \n",
+ "25% 0.887084 0.894682 0.895803 \n",
+ "50% 0.943486 0.947668 0.948020 \n",
+ "75% 0.976554 0.978359 0.978446 \n",
+ "max 1.000000 1.000000 1.000000 \n",
"\n",
- " Gaming UL (Bytes) Other DL (Bytes) Other UL (Bytes) \\\n",
- "count 1.500010e+05 1.500010e+05 1.500010e+05 \n",
- "mean 8.288398e+06 4.211005e+08 8.264799e+06 \n",
- "std 4.782700e+06 2.432050e+08 4.769004e+06 \n",
- "min 5.900000e+01 3.290000e+03 1.480000e+02 \n",
- "25% 4.128476e+06 2.101869e+08 4.145943e+06 \n",
- "50% 8.291208e+06 4.218030e+08 8.267071e+06 \n",
- "75% 1.243162e+07 6.316918e+08 1.238415e+07 \n",
- "max 1.655879e+07 8.434425e+08 1.655882e+07 \n",
+ " gaming_dl_(bytes) gaming_ul_(bytes) other_dl_(bytes) \\\n",
+ "count 150001.000000 150001.000000 150001.000000 \n",
+ "mean 0.921345 0.920386 0.919480 \n",
+ "std 0.078754 0.079740 0.080658 \n",
+ "min 0.000000 0.000000 0.000000 \n",
+ "25% 0.890892 0.889277 0.888433 \n",
+ "50% 0.945832 0.944860 0.944361 \n",
+ "75% 0.977462 0.977148 0.976788 \n",
+ "max 1.000000 1.000000 1.000000 \n",
"\n",
- " Total UL (Bytes) Total DL (Bytes) \n",
- "count 1.500000e+05 1.500000e+05 \n",
- "mean 4.112121e+07 4.546434e+08 \n",
- "std 1.127639e+07 2.441429e+08 \n",
- "min 2.866892e+06 7.114041e+06 \n",
- "25% 3.322201e+07 2.431068e+08 \n",
- "50% 4.114331e+07 4.558411e+08 \n",
- "75% 4.903424e+07 6.657055e+08 \n",
- "max 7.833131e+07 9.029696e+08 \n",
+ " other_ul_(bytes) total_ul_(bytes) total_dl_(bytes) \n",
+ "count 150001.000000 150001.000000 150001.000000 \n",
+ "mean 0.913696 0.792328 0.813121 \n",
+ "std 0.086596 0.092031 0.156937 \n",
+ "min 0.000000 0.000000 0.000000 \n",
+ "25% 0.880881 0.740687 0.729090 \n",
+ "50% 0.940247 0.805338 0.858877 \n",
+ "75% 0.975011 0.858383 0.937063 \n",
+ "max 1.000000 1.000000 1.000000 \n",
"\n",
"[8 rows x 50 columns]"
]
},
- "execution_count": 146,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@@ -737,70 +766,77 @@
},
{
"cell_type": "code",
- "execution_count": 147,
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "['Bearer Id',\n",
- " 'Start',\n",
- " 'Start ms',\n",
- " 'End',\n",
- " 'End ms',\n",
- " 'Dur. (ms)',\n",
- " 'IMSI',\n",
- " 'MSISDN/Number',\n",
- " 'IMEI',\n",
- " 'Last Location Name',\n",
- " 'Avg RTT DL (ms)',\n",
- " 'Avg RTT UL (ms)',\n",
- " 'Avg Bearer TP DL (kbps)',\n",
- " 'Avg Bearer TP UL (kbps)',\n",
- " 'TCP DL Retrans. Vol (Bytes)',\n",
- " 'TCP UL Retrans. Vol (Bytes)',\n",
- " 'DL TP < 50 Kbps (%)',\n",
- " '50 Kbps < DL TP < 250 Kbps (%)',\n",
- " '250 Kbps < DL TP < 1 Mbps (%)',\n",
- " 'DL TP > 1 Mbps (%)',\n",
- " 'UL TP < 10 Kbps (%)',\n",
- " '10 Kbps < UL TP < 50 Kbps (%)',\n",
- " '50 Kbps < UL TP < 300 Kbps (%)',\n",
- " 'UL TP > 300 Kbps (%)',\n",
- " 'HTTP DL (Bytes)',\n",
- " 'HTTP UL (Bytes)',\n",
- " 'Activity Duration DL (ms)',\n",
- " 'Activity Duration UL (ms)',\n",
- " 'Dur. (ms).1',\n",
- " 'Handset Manufacturer',\n",
- " 'Handset Type',\n",
- " 'Nb of sec with 125000B < Vol DL',\n",
- " 'Nb of sec with 1250B < Vol UL < 6250B',\n",
- " 'Nb of sec with 31250B < Vol DL < 125000B',\n",
- " 'Nb of sec with 37500B < Vol UL',\n",
- " 'Nb of sec with 6250B < Vol DL < 31250B',\n",
- " 'Nb of sec with 6250B < Vol UL < 37500B',\n",
- " 'Nb of sec with Vol DL < 6250B',\n",
- " 'Nb of sec with Vol UL < 1250B',\n",
- " 'Social Media DL (Bytes)',\n",
- " 'Social Media UL (Bytes)',\n",
- " 'Google DL (Bytes)',\n",
- " 'Google UL (Bytes)',\n",
- " 'Email DL (Bytes)',\n",
- " 'Email UL (Bytes)',\n",
- " 'Youtube DL (Bytes)',\n",
- " 'Youtube UL (Bytes)',\n",
- " 'Netflix DL (Bytes)',\n",
- " 'Netflix UL (Bytes)',\n",
- " 'Gaming DL (Bytes)',\n",
- " 'Gaming UL (Bytes)',\n",
- " 'Other DL (Bytes)',\n",
- " 'Other UL (Bytes)',\n",
- " 'Total UL (Bytes)',\n",
- " 'Total DL (Bytes)']"
+ "['bearer_id',\n",
+ " 'start',\n",
+ " 'start_ms',\n",
+ " 'end',\n",
+ " 'end_ms',\n",
+ " 'dur._(ms)',\n",
+ " 'imsi',\n",
+ " 'msisdn/number',\n",
+ " 'imei',\n",
+ " 'last_location_name',\n",
+ " 'avg_rtt_dl_(ms)',\n",
+ " 'avg_rtt_ul_(ms)',\n",
+ " 'avg_bearer_tp_dl_(kbps)',\n",
+ " 'avg_bearer_tp_ul_(kbps)',\n",
+ " 'tcp_dl_retrans._vol_(bytes)',\n",
+ " 'tcp_ul_retrans._vol_(bytes)',\n",
+ " 'dl_tp_<_50_kbps_(%)',\n",
+ " '50_kbps_<_dl_tp_<_250_kbps_(%)',\n",
+ " '250_kbps_<_dl_tp_<_1_mbps_(%)',\n",
+ " 'dl_tp_>_1_mbps_(%)',\n",
+ " 'ul_tp_<_10_kbps_(%)',\n",
+ " '10_kbps_<_ul_tp_<_50_kbps_(%)',\n",
+ " '50_kbps_<_ul_tp_<_300_kbps_(%)',\n",
+ " 'ul_tp_>_300_kbps_(%)',\n",
+ " 'http_dl_(bytes)',\n",
+ " 'http_ul_(bytes)',\n",
+ " 'activity_duration_dl_(ms)',\n",
+ " 'activity_duration_ul_(ms)',\n",
+ " 'dur._(ms).1',\n",
+ " 'handset_manufacturer',\n",
+ " 'handset_type',\n",
+ " 'nb_of_sec_with_125000b_<_vol_dl',\n",
+ " 'nb_of_sec_with_1250b_<_vol_ul_<_6250b',\n",
+ " 'nb_of_sec_with_31250b_<_vol_dl_<_125000b',\n",
+ " 'nb_of_sec_with_37500b_<_vol_ul',\n",
+ " 'nb_of_sec_with_6250b_<_vol_dl_<_31250b',\n",
+ " 'nb_of_sec_with_6250b_<_vol_ul_<_37500b',\n",
+ " 'nb_of_sec_with_vol_dl_<_6250b',\n",
+ " 'nb_of_sec_with_vol_ul_<_1250b',\n",
+ " 'social_media_dl_(bytes)',\n",
+ " 'social_media_ul_(bytes)',\n",
+ " 'google_dl_(bytes)',\n",
+ " 'google_ul_(bytes)',\n",
+ " 'email_dl_(bytes)',\n",
+ " 'email_ul_(bytes)',\n",
+ " 'youtube_dl_(bytes)',\n",
+ " 'youtube_ul_(bytes)',\n",
+ " 'netflix_dl_(bytes)',\n",
+ " 'netflix_ul_(bytes)',\n",
+ " 'gaming_dl_(bytes)',\n",
+ " 'gaming_ul_(bytes)',\n",
+ " 'other_dl_(bytes)',\n",
+ " 'other_ul_(bytes)',\n",
+ " 'total_ul_(bytes)',\n",
+ " 'total_dl_(bytes)']"
]
},
- "execution_count": 147,
+ "execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
@@ -812,83 +848,26 @@
},
{
"cell_type": "code",
- "execution_count": 148,
+ "execution_count": 14,
"metadata": {},
"outputs": [
{
- "data": {
- "text/plain": [
- "Bearer Id 991\n",
- "Start 1\n",
- "Start ms 1\n",
- "End 1\n",
- "End ms 1\n",
- "Dur. (ms) 1\n",
- "IMSI 570\n",
- "MSISDN/Number 1066\n",
- "IMEI 572\n",
- "Last Location Name 1153\n",
- "Avg RTT DL (ms) 27829\n",
- "Avg RTT UL (ms) 27812\n",
- "Avg Bearer TP DL (kbps) 1\n",
- "Avg Bearer TP UL (kbps) 1\n",
- "TCP DL Retrans. Vol (Bytes) 88146\n",
- "TCP UL Retrans. Vol (Bytes) 96649\n",
- "DL TP < 50 Kbps (%) 754\n",
- "50 Kbps < DL TP < 250 Kbps (%) 754\n",
- "250 Kbps < DL TP < 1 Mbps (%) 754\n",
- "DL TP > 1 Mbps (%) 754\n",
- "UL TP < 10 Kbps (%) 792\n",
- "10 Kbps < UL TP < 50 Kbps (%) 792\n",
- "50 Kbps < UL TP < 300 Kbps (%) 792\n",
- "UL TP > 300 Kbps (%) 792\n",
- "HTTP DL (Bytes) 81474\n",
- "HTTP UL (Bytes) 81810\n",
- "Activity Duration DL (ms) 1\n",
- "Activity Duration UL (ms) 1\n",
- "Dur. (ms).1 1\n",
- "Handset Manufacturer 572\n",
- "Handset Type 572\n",
- "Nb of sec with 125000B < Vol DL 97538\n",
- "Nb of sec with 1250B < Vol UL < 6250B 92894\n",
- "Nb of sec with 31250B < Vol DL < 125000B 93586\n",
- "Nb of sec with 37500B < Vol UL 130254\n",
- "Nb of sec with 6250B < Vol DL < 31250B 88317\n",
- "Nb of sec with 6250B < Vol UL < 37500B 111843\n",
- "Nb of sec with Vol DL < 6250B 755\n",
- "Nb of sec with Vol UL < 1250B 793\n",
- "Social Media DL (Bytes) 0\n",
- "Social Media UL (Bytes) 0\n",
- "Google DL (Bytes) 0\n",
- "Google UL (Bytes) 0\n",
- "Email DL (Bytes) 0\n",
- "Email UL (Bytes) 0\n",
- "Youtube DL (Bytes) 0\n",
- "Youtube UL (Bytes) 0\n",
- "Netflix DL (Bytes) 0\n",
- "Netflix UL (Bytes) 0\n",
- "Gaming DL (Bytes) 0\n",
- "Gaming UL (Bytes) 0\n",
- "Other DL (Bytes) 0\n",
- "Other UL (Bytes) 0\n",
- "Total UL (Bytes) 1\n",
- "Total DL (Bytes) 1\n",
- "dtype: int64"
- ]
- },
- "execution_count": 148,
- "metadata": {},
- "output_type": "execute_result"
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The telecom dataset contains 0.0 % missing values.\n"
+ ]
}
],
"source": [
"# Count missing values\n",
- "df.isna().sum()"
+ "# df.isna().sum()\n",
+ "overview.percent_missing(df)"
]
},
{
"cell_type": "code",
- "execution_count": 149,
+ "execution_count": 15,
"metadata": {},
"outputs": [
{
@@ -898,64 +877,64 @@
"\n",
"RangeIndex: 150001 entries, 0 to 150000\n",
"Data columns (total 55 columns):\n",
- " # Column Non-Null Count Dtype \n",
- "--- ------ -------------- ----- \n",
- " 0 Bearer Id 149010 non-null float64 \n",
- " 1 Start 150000 non-null datetime64[ns]\n",
- " 2 Start ms 150000 non-null float64 \n",
- " 3 End 150000 non-null datetime64[ns]\n",
- " 4 End ms 150000 non-null float64 \n",
- " 5 Dur. (ms) 150000 non-null float64 \n",
- " 6 IMSI 149431 non-null float64 \n",
- " 7 MSISDN/Number 148935 non-null float64 \n",
- " 8 IMEI 149429 non-null float64 \n",
- " 9 Last Location Name 148848 non-null object \n",
- " 10 Avg RTT DL (ms) 122172 non-null float64 \n",
- " 11 Avg RTT UL (ms) 122189 non-null float64 \n",
- " 12 Avg Bearer TP DL (kbps) 150000 non-null float64 \n",
- " 13 Avg Bearer TP UL (kbps) 150000 non-null float64 \n",
- " 14 TCP DL Retrans. Vol (Bytes) 61855 non-null float64 \n",
- " 15 TCP UL Retrans. Vol (Bytes) 53352 non-null float64 \n",
- " 16 DL TP < 50 Kbps (%) 149247 non-null float64 \n",
- " 17 50 Kbps < DL TP < 250 Kbps (%) 149247 non-null float64 \n",
- " 18 250 Kbps < DL TP < 1 Mbps (%) 149247 non-null float64 \n",
- " 19 DL TP > 1 Mbps (%) 149247 non-null float64 \n",
- " 20 UL TP < 10 Kbps (%) 149209 non-null float64 \n",
- " 21 10 Kbps < UL TP < 50 Kbps (%) 149209 non-null float64 \n",
- " 22 50 Kbps < UL TP < 300 Kbps (%) 149209 non-null float64 \n",
- " 23 UL TP > 300 Kbps (%) 149209 non-null float64 \n",
- " 24 HTTP DL (Bytes) 68527 non-null float64 \n",
- " 25 HTTP UL (Bytes) 68191 non-null float64 \n",
- " 26 Activity Duration DL (ms) 150000 non-null float64 \n",
- " 27 Activity Duration UL (ms) 150000 non-null float64 \n",
- " 28 Dur. (ms).1 150000 non-null float64 \n",
- " 29 Handset Manufacturer 149429 non-null object \n",
- " 30 Handset Type 149429 non-null object \n",
- " 31 Nb of sec with 125000B < Vol DL 52463 non-null float64 \n",
- " 32 Nb of sec with 1250B < Vol UL < 6250B 57107 non-null float64 \n",
- " 33 Nb of sec with 31250B < Vol DL < 125000B 56415 non-null float64 \n",
- " 34 Nb of sec with 37500B < Vol UL 19747 non-null float64 \n",
- " 35 Nb of sec with 6250B < Vol DL < 31250B 61684 non-null float64 \n",
- " 36 Nb of sec with 6250B < Vol UL < 37500B 38158 non-null float64 \n",
- " 37 Nb of sec with Vol DL < 6250B 149246 non-null float64 \n",
- " 38 Nb of sec with Vol UL < 1250B 149208 non-null float64 \n",
- " 39 Social Media DL (Bytes) 150001 non-null float64 \n",
- " 40 Social Media UL (Bytes) 150001 non-null float64 \n",
- " 41 Google DL (Bytes) 150001 non-null float64 \n",
- " 42 Google UL (Bytes) 150001 non-null float64 \n",
- " 43 Email DL (Bytes) 150001 non-null float64 \n",
- " 44 Email UL (Bytes) 150001 non-null float64 \n",
- " 45 Youtube DL (Bytes) 150001 non-null float64 \n",
- " 46 Youtube UL (Bytes) 150001 non-null float64 \n",
- " 47 Netflix DL (Bytes) 150001 non-null float64 \n",
- " 48 Netflix UL (Bytes) 150001 non-null float64 \n",
- " 49 Gaming DL (Bytes) 150001 non-null float64 \n",
- " 50 Gaming UL (Bytes) 150001 non-null float64 \n",
- " 51 Other DL (Bytes) 150001 non-null float64 \n",
- " 52 Other UL (Bytes) 150001 non-null float64 \n",
- " 53 Total UL (Bytes) 150000 non-null float64 \n",
- " 54 Total DL (Bytes) 150000 non-null float64 \n",
- "dtypes: datetime64[ns](2), float64(50), object(3)\n",
+ " # Column Non-Null Count Dtype \n",
+ "--- ------ -------------- ----- \n",
+ " 0 bearer_id 150001 non-null float64\n",
+ " 1 start 150001 non-null object \n",
+ " 2 start_ms 150001 non-null float64\n",
+ " 3 end 150001 non-null object \n",
+ " 4 end_ms 150001 non-null float64\n",
+ " 5 dur._(ms) 150001 non-null float64\n",
+ " 6 imsi 150001 non-null float64\n",
+ " 7 msisdn/number 150001 non-null float64\n",
+ " 8 imei 150001 non-null float64\n",
+ " 9 last_location_name 150001 non-null object \n",
+ " 10 avg_rtt_dl_(ms) 150001 non-null float64\n",
+ " 11 avg_rtt_ul_(ms) 150001 non-null float64\n",
+ " 12 avg_bearer_tp_dl_(kbps) 150001 non-null float64\n",
+ " 13 avg_bearer_tp_ul_(kbps) 150001 non-null float64\n",
+ " 14 tcp_dl_retrans._vol_(bytes) 150001 non-null float64\n",
+ " 15 tcp_ul_retrans._vol_(bytes) 150001 non-null float64\n",
+ " 16 dl_tp_<_50_kbps_(%) 150001 non-null float64\n",
+ " 17 50_kbps_<_dl_tp_<_250_kbps_(%) 150001 non-null float64\n",
+ " 18 250_kbps_<_dl_tp_<_1_mbps_(%) 150001 non-null float64\n",
+ " 19 dl_tp_>_1_mbps_(%) 150001 non-null float64\n",
+ " 20 ul_tp_<_10_kbps_(%) 150001 non-null float64\n",
+ " 21 10_kbps_<_ul_tp_<_50_kbps_(%) 150001 non-null float64\n",
+ " 22 50_kbps_<_ul_tp_<_300_kbps_(%) 150001 non-null float64\n",
+ " 23 ul_tp_>_300_kbps_(%) 150001 non-null float64\n",
+ " 24 http_dl_(bytes) 150001 non-null float64\n",
+ " 25 http_ul_(bytes) 150001 non-null float64\n",
+ " 26 activity_duration_dl_(ms) 150001 non-null float64\n",
+ " 27 activity_duration_ul_(ms) 150001 non-null float64\n",
+ " 28 dur._(ms).1 150001 non-null float64\n",
+ " 29 handset_manufacturer 150001 non-null object \n",
+ " 30 handset_type 150001 non-null object \n",
+ " 31 nb_of_sec_with_125000b_<_vol_dl 150001 non-null float64\n",
+ " 32 nb_of_sec_with_1250b_<_vol_ul_<_6250b 150001 non-null float64\n",
+ " 33 nb_of_sec_with_31250b_<_vol_dl_<_125000b 150001 non-null float64\n",
+ " 34 nb_of_sec_with_37500b_<_vol_ul 150001 non-null float64\n",
+ " 35 nb_of_sec_with_6250b_<_vol_dl_<_31250b 150001 non-null float64\n",
+ " 36 nb_of_sec_with_6250b_<_vol_ul_<_37500b 150001 non-null float64\n",
+ " 37 nb_of_sec_with_vol_dl_<_6250b 150001 non-null float64\n",
+ " 38 nb_of_sec_with_vol_ul_<_1250b 150001 non-null float64\n",
+ " 39 social_media_dl_(bytes) 150001 non-null float64\n",
+ " 40 social_media_ul_(bytes) 150001 non-null float64\n",
+ " 41 google_dl_(bytes) 150001 non-null float64\n",
+ " 42 google_ul_(bytes) 150001 non-null float64\n",
+ " 43 email_dl_(bytes) 150001 non-null float64\n",
+ " 44 email_ul_(bytes) 150001 non-null float64\n",
+ " 45 youtube_dl_(bytes) 150001 non-null float64\n",
+ " 46 youtube_ul_(bytes) 150001 non-null float64\n",
+ " 47 netflix_dl_(bytes) 150001 non-null float64\n",
+ " 48 netflix_ul_(bytes) 150001 non-null float64\n",
+ " 49 gaming_dl_(bytes) 150001 non-null float64\n",
+ " 50 gaming_ul_(bytes) 150001 non-null float64\n",
+ " 51 other_dl_(bytes) 150001 non-null float64\n",
+ " 52 other_ul_(bytes) 150001 non-null float64\n",
+ " 53 total_ul_(bytes) 150001 non-null float64\n",
+ " 54 total_dl_(bytes) 150001 non-null float64\n",
+ "dtypes: float64(50), object(5)\n",
"memory usage: 62.9+ MB\n"
]
}
@@ -973,144 +952,91 @@
},
{
"cell_type": "code",
- "execution_count": 150,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "(0, 55)"
- ]
- },
- "execution_count": 150,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "c"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 17,
+ "execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "The telecom dataset contains 12.5 % missing values.\n"
+ "(0, 55)\n"
]
}
],
"source": [
- "# how many missing values exist or better still what is the % of missing values in the dataset?\n",
- "def percent_missing(df):\n",
- "\n",
- " # Calculate total number of cells in dataframe\n",
- " totalCells = np.product(df.shape)\n",
- "\n",
- " # Count number of missing values per column\n",
- " missingCount = df.isnull().sum()\n",
- "\n",
- " # Calculate total number of missing values\n",
- " totalMissing = missingCount.sum()\n",
- "\n",
- " # Calculate percentage of missing values\n",
- " print(\"The telecom dataset contains\", round(((totalMissing/totalCells) * 100), 2), \"%\", \"missing values.\")\n",
- "\n",
- "percent_missing(df)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 151,
- "metadata": {},
- "outputs": [],
- "source": [
- "overview = Overview(df)"
+ "# Checl for \n",
+ "overview.number_of_duplicates(df)"
]
},
{
- "cell_type": "code",
- "execution_count": 152,
+ "cell_type": "markdown",
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The telecom dataset contains 12.5 % missing values.\n"
- ]
- }
- ],
"source": [
- "percent_missing = overview.percent_missing(df)"
+ "There are no duplicates"
]
},
{
"cell_type": "code",
- "execution_count": 155,
+ "execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "Bearer Id 0.026666\n",
- "Start ms 0.000968\n",
- "End ms -0.001163\n",
- "Dur. (ms) 3.952609\n",
- "IMSI 41.045956\n",
- "MSISDN/Number 332.155856\n",
- "IMEI 1.071470\n",
- "Avg RTT DL (ms) 62.907828\n",
- "Avg RTT UL (ms) 28.457415\n",
- "Avg Bearer TP DL (kbps) 2.589437\n",
- "Avg Bearer TP UL (kbps) 4.503413\n",
- "TCP DL Retrans. Vol (Bytes) 15.951809\n",
- "TCP UL Retrans. Vol (Bytes) 84.113393\n",
- "DL TP < 50 Kbps (%) -2.297803\n",
- "50 Kbps < DL TP < 250 Kbps (%) 3.271453\n",
- "250 Kbps < DL TP < 1 Mbps (%) 4.566158\n",
- "DL TP > 1 Mbps (%) 5.370351\n",
- "UL TP < 10 Kbps (%) -8.985016\n",
- "10 Kbps < UL TP < 50 Kbps (%) 10.943888\n",
- "50 Kbps < UL TP < 300 Kbps (%) 21.878495\n",
- "UL TP > 300 Kbps (%) 36.174053\n",
- "HTTP DL (Bytes) 38.944710\n",
- "HTTP UL (Bytes) 32.474970\n",
- "Activity Duration DL (ms) 5.872256\n",
- "Activity Duration UL (ms) 7.382557\n",
- "Dur. (ms).1 3.952609\n",
- "Nb of sec with 125000B < Vol DL 6.592502\n",
- "Nb of sec with 1250B < Vol UL < 6250B 22.035745\n",
- "Nb of sec with 31250B < Vol DL < 125000B 6.610541\n",
- "Nb of sec with 37500B < Vol UL 21.560028\n",
- "Nb of sec with 6250B < Vol DL < 31250B 6.896050\n",
- "Nb of sec with 6250B < Vol UL < 37500B 19.642752\n",
- "Nb of sec with Vol DL < 6250B 9.042166\n",
- "Nb of sec with Vol UL < 1250B 7.495176\n",
- "Social Media DL (Bytes) -0.002136\n",
- "Social Media UL (Bytes) -0.000359\n",
- "Google DL (Bytes) -0.008092\n",
- "Google UL (Bytes) 0.002216\n",
- "Email DL (Bytes) -0.002463\n",
- "Email UL (Bytes) 0.007358\n",
- "Youtube DL (Bytes) 0.000231\n",
- "Youtube UL (Bytes) -0.001142\n",
- "Netflix DL (Bytes) -0.002442\n",
- "Netflix UL (Bytes) -0.000113\n",
- "Gaming DL (Bytes) -0.003460\n",
- "Gaming UL (Bytes) -0.001840\n",
- "Other DL (Bytes) 0.001400\n",
- "Other UL (Bytes) 0.001392\n",
- "Total UL (Bytes) -0.002456\n",
- "Total DL (Bytes) -0.003153\n",
+ "bearer_id 0.039699\n",
+ "start_ms 0.000968\n",
+ "end_ms -0.001163\n",
+ "dur._(ms) -0.481554\n",
+ "imsi 41.124210\n",
+ "msisdn/number 333.342445\n",
+ "imei 1.077346\n",
+ "avg_rtt_dl_(ms) NaN\n",
+ "avg_rtt_ul_(ms) NaN\n",
+ "avg_bearer_tp_dl_(kbps) NaN\n",
+ "avg_bearer_tp_ul_(kbps) NaN\n",
+ "tcp_dl_retrans._vol_(bytes) -0.998495\n",
+ "tcp_ul_retrans._vol_(bytes) -0.033622\n",
+ "dl_tp_<_50_kbps_(%) NaN\n",
+ "50_kbps_<_dl_tp_<_250_kbps_(%) NaN\n",
+ "250_kbps_<_dl_tp_<_1_mbps_(%) NaN\n",
+ "dl_tp_>_1_mbps_(%) NaN\n",
+ "ul_tp_<_10_kbps_(%) NaN\n",
+ "10_kbps_<_ul_tp_<_50_kbps_(%) NaN\n",
+ "50_kbps_<_ul_tp_<_300_kbps_(%) NaN\n",
+ "ul_tp_>_300_kbps_(%) NaN\n",
+ "http_dl_(bytes) -0.578348\n",
+ "http_ul_(bytes) -0.517635\n",
+ "activity_duration_dl_(ms) NaN\n",
+ "activity_duration_ul_(ms) NaN\n",
+ "dur._(ms).1 -0.481535\n",
+ "nb_of_sec_with_125000b_<_vol_dl -0.318791\n",
+ "nb_of_sec_with_1250b_<_vol_ul_<_6250b -0.136021\n",
+ "nb_of_sec_with_31250b_<_vol_dl_<_125000b -0.873736\n",
+ "nb_of_sec_with_37500b_<_vol_ul 3.172038\n",
+ "nb_of_sec_with_6250b_<_vol_dl_<_31250b -1.386626\n",
+ "nb_of_sec_with_6250b_<_vol_ul_<_37500b 2.368568\n",
+ "nb_of_sec_with_vol_dl_<_6250b 0.269009\n",
+ "nb_of_sec_with_vol_ul_<_1250b 0.396511\n",
+ "social_media_dl_(bytes) -2.001281\n",
+ "social_media_ul_(bytes) NaN\n",
+ "google_dl_(bytes) -1.998016\n",
+ "google_ul_(bytes) -2.008590\n",
+ "email_dl_(bytes) -1.971207\n",
+ "email_ul_(bytes) -2.024226\n",
+ "youtube_dl_(bytes) -2.026916\n",
+ "youtube_ul_(bytes) -2.024498\n",
+ "netflix_dl_(bytes) -1.992114\n",
+ "netflix_ul_(bytes) -2.004392\n",
+ "gaming_dl_(bytes) -1.977979\n",
+ "gaming_ul_(bytes) -2.008660\n",
+ "other_dl_(bytes) -2.011233\n",
+ "other_ul_(bytes) -2.033815\n",
+ "total_ul_(bytes) -0.911313\n",
+ "total_dl_(bytes) -1.125350\n",
"dtype: float64"
]
},
- "execution_count": 155,
+ "execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
@@ -1121,7 +1047,7 @@
},
{
"cell_type": "code",
- "execution_count": 156,
+ "execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
@@ -1130,149 +1056,7 @@
},
{
"cell_type": "code",
- "execution_count": 157,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "This distribution has skew 332.1558558193963\n",
- "This distribution has kurtosis 115844.50542866594\n"
- ]
- },
- {
- "data": {
- "image/png": "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",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "df['MSISDN/Number'].plot(kind='density')\n",
- "print('This distribution has skew', df['MSISDN/Number'].skew())\n",
- "print('This distribution has kurtosis', df['MSISDN/Number'].kurt())"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 32,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "array([[,\n",
- " ,\n",
- " ,\n",
- " ,\n",
- " ,\n",
- " ,\n",
- " ],\n",
- " [,\n",
- " ,\n",
- " ,\n",
- " ,\n",
- " ,\n",
- " ,\n",
- " ],\n",
- " [,\n",
- " ,\n",
- " ,\n",
- " ,\n",
- " 1 Mbps (%)'}>,\n",
- " ,\n",
- " ],\n",
- " [,\n",
- " 300 Kbps (%)'}>,\n",
- " ,\n",
- " ,\n",
- " ,\n",
- " ,\n",
- " ],\n",
- " [,\n",
- " ,\n",
- " ,\n",
- " ,\n",
- " ,\n",
- " ,\n",
- " ],\n",
- " [,\n",
- " ,\n",
- " ,\n",
- " ,\n",
- " ,\n",
- " ,\n",
- " ],\n",
- " [,\n",
- " ,\n",
- " ,\n",
- " ,\n",
- " ,\n",
- " ,\n",
- " ],\n",
- " [,\n",
- " ,\n",
- " ,\n",
- " , , , ]],\n",
- " dtype=object)"
- ]
- },
- "execution_count": 32,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": "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",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "df.hist(bins=80, figsize=(30,25))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 158,
- "metadata": {},
- "outputs": [],
- "source": [
- "preprocess = PreProcess(df_c)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Remove Spaces from column names"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 159,
- "metadata": {},
- "outputs": [],
- "source": [
- "df_c = preprocess.clean_feature_name(df_c)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 160,
+ "execution_count": 19,
"metadata": {},
"outputs": [
{
@@ -1304,110 +1088,50 @@
" dtype='object')"
]
},
- "execution_count": 160,
+ "execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "df_c.columns"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Change start, end to datetime"
+ "df.columns"
]
},
{
"cell_type": "code",
- "execution_count": 161,
+ "execution_count": 20,
"metadata": {},
"outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "This distribution has skew 333.3424445374074\n",
+ "This distribution has kurtosis 116673.6675862075\n"
+ ]
+ },
{
"data": {
+ "image/png": "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",
"text/plain": [
- "bearer_id float64\n",
- "start datetime64[ns]\n",
- "start_ms float64\n",
- "end datetime64[ns]\n",
- "end_ms float64\n",
- "dur._(ms) float64\n",
- "imsi float64\n",
- "msisdn/number float64\n",
- "imei float64\n",
- "last_location_name object\n",
- "avg_rtt_dl_(ms) float64\n",
- "avg_rtt_ul_(ms) float64\n",
- "avg_bearer_tp_dl_(kbps) float64\n",
- "avg_bearer_tp_ul_(kbps) float64\n",
- "tcp_dl_retrans._vol_(bytes) float64\n",
- "tcp_ul_retrans._vol_(bytes) float64\n",
- "dl_tp_<_50_kbps_(%) float64\n",
- "50_kbps_<_dl_tp_<_250_kbps_(%) float64\n",
- "250_kbps_<_dl_tp_<_1_mbps_(%) float64\n",
- "dl_tp_>_1_mbps_(%) float64\n",
- "ul_tp_<_10_kbps_(%) float64\n",
- "10_kbps_<_ul_tp_<_50_kbps_(%) float64\n",
- "50_kbps_<_ul_tp_<_300_kbps_(%) float64\n",
- "ul_tp_>_300_kbps_(%) float64\n",
- "http_dl_(bytes) float64\n",
- "http_ul_(bytes) float64\n",
- "activity_duration_dl_(ms) float64\n",
- "activity_duration_ul_(ms) float64\n",
- "dur._(ms).1 float64\n",
- "handset_manufacturer object\n",
- "handset_type object\n",
- "nb_of_sec_with_125000b_<_vol_dl float64\n",
- "nb_of_sec_with_1250b_<_vol_ul_<_6250b float64\n",
- "nb_of_sec_with_31250b_<_vol_dl_<_125000b float64\n",
- "nb_of_sec_with_37500b_<_vol_ul float64\n",
- "nb_of_sec_with_6250b_<_vol_dl_<_31250b float64\n",
- "nb_of_sec_with_6250b_<_vol_ul_<_37500b float64\n",
- "nb_of_sec_with_vol_dl_<_6250b float64\n",
- "nb_of_sec_with_vol_ul_<_1250b float64\n",
- "social_media_dl_(bytes) float64\n",
- "social_media_ul_(bytes) float64\n",
- "google_dl_(bytes) float64\n",
- "google_ul_(bytes) float64\n",
- "email_dl_(bytes) float64\n",
- "email_ul_(bytes) float64\n",
- "youtube_dl_(bytes) float64\n",
- "youtube_ul_(bytes) float64\n",
- "netflix_dl_(bytes) float64\n",
- "netflix_ul_(bytes) float64\n",
- "gaming_dl_(bytes) float64\n",
- "gaming_ul_(bytes) float64\n",
- "other_dl_(bytes) float64\n",
- "other_ul_(bytes) float64\n",
- "total_ul_(bytes) float64\n",
- "total_dl_(bytes) float64\n",
- "dtype: object"
+ ""
]
},
- "execution_count": 161,
- "metadata": {},
- "output_type": "execute_result"
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
}
],
"source": [
- "df_c.dtypes"
+ "df['msisdn/number'].plot(kind='density')\n",
+ "print('This distribution has skew', df['msisdn/number'].skew())\n",
+ "print('This distribution has kurtosis', df['msisdn/number'].kurt())"
]
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# df_c['start'] = preprocess.convert_to_datetime(df_c, 'start')\n",
- "# # df['end'] = preprocess.convert_to_datetime(df, df['end'])\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 154,
+ "execution_count": 21,
"metadata": {},
"outputs": [
{
@@ -1424,330 +1148,196 @@
"%autoreload 2\n"
]
},
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Eliminate automatically variables with more than 30% of missingness"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 162,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Index(['bearer_id', 'start', 'start_ms', 'end', 'end_ms', 'dur._(ms)', 'imsi',\n",
- " 'msisdn/number', 'imei', 'last_location_name', 'avg_rtt_dl_(ms)',\n",
- " 'avg_rtt_ul_(ms)', 'avg_bearer_tp_dl_(kbps)', 'avg_bearer_tp_ul_(kbps)',\n",
- " 'dl_tp_<_50_kbps_(%)', '50_kbps_<_dl_tp_<_250_kbps_(%)',\n",
- " '250_kbps_<_dl_tp_<_1_mbps_(%)', 'dl_tp_>_1_mbps_(%)',\n",
- " 'ul_tp_<_10_kbps_(%)', '10_kbps_<_ul_tp_<_50_kbps_(%)',\n",
- " '50_kbps_<_ul_tp_<_300_kbps_(%)', 'ul_tp_>_300_kbps_(%)',\n",
- " 'activity_duration_dl_(ms)', 'activity_duration_ul_(ms)', 'dur._(ms).1',\n",
- " 'handset_manufacturer', 'handset_type', 'nb_of_sec_with_vol_dl_<_6250b',\n",
- " 'nb_of_sec_with_vol_ul_<_1250b', 'total_ul_(bytes)',\n",
- " 'total_dl_(bytes)'],\n",
- " dtype='object')\n"
- ]
- }
- ],
- "source": [
- "df_c, df_before_filling, missing_cols = preprocess.drop_variables(df_c)\n",
- "# missing_cols"
- ]
- },
{
"cell_type": "code",
- "execution_count": 138,
+ "execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
- "# # Eliminate automatically variables with more than 20% of missingness\n",
- "# df_before_filling= df_c\n",
- "# df_c = df_c[df_c.columns[df_c.isnull().mean() < 0.3]]"
+ "top10 = df['handset_type'].value_counts().nlargest(10)"
]
},
{
"cell_type": "code",
- "execution_count": 163,
+ "execution_count": 23,
"metadata": {},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Index(['bearer_id', 'start', 'start_ms', 'end', 'end_ms', 'dur._(ms)', 'imsi',\n",
- " 'msisdn/number', 'imei', 'last_location_name', 'avg_rtt_dl_(ms)',\n",
- " 'avg_rtt_ul_(ms)', 'avg_bearer_tp_dl_(kbps)', 'avg_bearer_tp_ul_(kbps)',\n",
- " 'dl_tp_<_50_kbps_(%)', '50_kbps_<_dl_tp_<_250_kbps_(%)',\n",
- " '250_kbps_<_dl_tp_<_1_mbps_(%)', 'dl_tp_>_1_mbps_(%)',\n",
- " 'ul_tp_<_10_kbps_(%)', '10_kbps_<_ul_tp_<_50_kbps_(%)',\n",
- " '50_kbps_<_ul_tp_<_300_kbps_(%)', 'ul_tp_>_300_kbps_(%)',\n",
- " 'activity_duration_dl_(ms)', 'activity_duration_ul_(ms)', 'dur._(ms).1',\n",
- " 'handset_manufacturer', 'handset_type', 'nb_of_sec_with_vol_dl_<_6250b',\n",
- " 'nb_of_sec_with_vol_ul_<_1250b', 'total_ul_(bytes)',\n",
- " 'total_dl_(bytes)'],\n",
- " dtype='object')\n"
- ]
+ "data": {
+ "text/plain": [
+ "Huawei B528S-23A 20324\n",
+ "Apple iPhone 6S (A1688) 9419\n",
+ "Apple iPhone 6 (A1586) 9023\n",
+ "undefined 8987\n",
+ "Apple iPhone 7 (A1778) 6326\n",
+ "Apple iPhone Se (A1723) 5187\n",
+ "Apple iPhone 8 (A1905) 4993\n",
+ "Apple iPhone Xr (A2105) 4568\n",
+ "Samsung Galaxy S8 (Sm-G950F) 4520\n",
+ "Apple iPhone X (A1901) 3813\n",
+ "Name: handset_type, dtype: int64"
+ ]
+ },
+ "execution_count": 23,
+ "metadata": {},
+ "output_type": "execute_result"
}
],
"source": [
- "# missing_cols=df_c.columns[df_c.isnull().mean() > 0]\n",
- "print(missing_cols)"
+ "top10.head(10)"
]
},
{
"cell_type": "code",
- "execution_count": 164,
+ "execution_count": 24,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Index(['bearer_id', 'start_ms', 'end_ms', 'dur._(ms)', 'imsi', 'msisdn/number',\n",
- " 'imei', 'avg_rtt_dl_(ms)', 'avg_rtt_ul_(ms)', 'avg_bearer_tp_dl_(kbps)',\n",
- " 'avg_bearer_tp_ul_(kbps)', 'dl_tp_<_50_kbps_(%)',\n",
- " '50_kbps_<_dl_tp_<_250_kbps_(%)', '250_kbps_<_dl_tp_<_1_mbps_(%)',\n",
- " 'dl_tp_>_1_mbps_(%)', 'ul_tp_<_10_kbps_(%)',\n",
- " '10_kbps_<_ul_tp_<_50_kbps_(%)', '50_kbps_<_ul_tp_<_300_kbps_(%)',\n",
- " 'ul_tp_>_300_kbps_(%)', 'activity_duration_dl_(ms)',\n",
- " 'activity_duration_ul_(ms)', 'dur._(ms).1',\n",
- " 'nb_of_sec_with_vol_dl_<_6250b', 'nb_of_sec_with_vol_ul_<_1250b',\n",
- " 'social_media_dl_(bytes)', 'social_media_ul_(bytes)',\n",
- " 'google_dl_(bytes)', 'google_ul_(bytes)', 'email_dl_(bytes)',\n",
- " 'email_ul_(bytes)', 'youtube_dl_(bytes)', 'youtube_ul_(bytes)',\n",
- " 'netflix_dl_(bytes)', 'netflix_ul_(bytes)', 'gaming_dl_(bytes)',\n",
- " 'gaming_ul_(bytes)', 'other_dl_(bytes)', 'other_ul_(bytes)',\n",
- " 'total_ul_(bytes)', 'total_dl_(bytes)'],\n",
- " dtype='object')\n",
- "bearer_id 7.349883e+18\n",
- "start_ms 4.990000e+02\n",
- "end_ms 5.000000e+02\n",
- "dur._(ms) 8.639900e+04\n",
- "imsi 2.082015e+14\n",
- "msisdn/number 3.366371e+10\n",
- "imei 3.572201e+13\n",
- "avg_rtt_dl_(ms) 4.500000e+01\n",
- "avg_rtt_ul_(ms) 5.000000e+00\n",
- "avg_bearer_tp_dl_(kbps) 6.300000e+01\n",
- "avg_bearer_tp_ul_(kbps) 6.300000e+01\n",
- "dl_tp_<_50_kbps_(%) 1.000000e+02\n",
- "50_kbps_<_dl_tp_<_250_kbps_(%) 0.000000e+00\n",
- "250_kbps_<_dl_tp_<_1_mbps_(%) 0.000000e+00\n",
- "dl_tp_>_1_mbps_(%) 0.000000e+00\n",
- "ul_tp_<_10_kbps_(%) 1.000000e+02\n",
- "10_kbps_<_ul_tp_<_50_kbps_(%) 0.000000e+00\n",
- "50_kbps_<_ul_tp_<_300_kbps_(%) 0.000000e+00\n",
- "ul_tp_>_300_kbps_(%) 0.000000e+00\n",
- "activity_duration_dl_(ms) 3.930450e+04\n",
- "activity_duration_ul_(ms) 4.679350e+04\n",
- "dur._(ms).1 8.639998e+07\n",
- "nb_of_sec_with_vol_dl_<_6250b 2.030000e+02\n",
- "nb_of_sec_with_vol_ul_<_1250b 2.170000e+02\n",
- "social_media_dl_(bytes) 1.794369e+06\n",
- "social_media_ul_(bytes) 3.292000e+04\n",
- "google_dl_(bytes) 5.765829e+06\n",
- "google_ul_(bytes) 2.054573e+06\n",
- "email_dl_(bytes) 1.793505e+06\n",
- "email_ul_(bytes) 4.662500e+05\n",
- "youtube_dl_(bytes) 1.161602e+07\n",
- "youtube_ul_(bytes) 1.101345e+07\n",
- "netflix_dl_(bytes) 1.164222e+07\n",
- "netflix_ul_(bytes) 1.099638e+07\n",
- "gaming_dl_(bytes) 4.234081e+08\n",
- "gaming_ul_(bytes) 8.291208e+06\n",
- "other_dl_(bytes) 4.218030e+08\n",
- "other_ul_(bytes) 8.267071e+06\n",
- "total_ul_(bytes) 4.114331e+07\n",
- "total_dl_(bytes) 4.558411e+08\n",
- "dtype: float64\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
- "cols, df_single, num_cols = preprocess.fill_numerical_variables(df_c)"
+ "new_df = pd.DataFrame()"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 25,
"metadata": {},
"outputs": [],
- "source": []
+ "source": [
+ "new_df['handset_type'] = top10.index\n",
+ "new_df['count'] = top10.values"
+ ]
},
{
"cell_type": "code",
- "execution_count": 104,
+ "execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
+ "text/html": [
+ "\n",
+ "\n",
+ " \n",
+ " \n",
+ " \n",
+ " | \n",
+ " handset_type | \n",
+ " count | \n",
+ " \n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " Huawei B528S-23A | \n",
+ " 20324 | \n",
+ " \n",
+ " \n",
+ " | 1 | \n",
+ " Apple iPhone 6S (A1688) | \n",
+ " 9419 | \n",
+ " \n",
+ " \n",
+ " | 2 | \n",
+ " Apple iPhone 6 (A1586) | \n",
+ " 9023 | \n",
+ " \n",
+ " \n",
+ " | 3 | \n",
+ " undefined | \n",
+ " 8987 | \n",
+ " \n",
+ " \n",
+ " | 4 | \n",
+ " Apple iPhone 7 (A1778) | \n",
+ " 6326 | \n",
+ " \n",
+ " \n",
+ " \n",
+ " "
+ ""
]
},
"metadata": {
@@ -1757,131 +1347,93 @@
}
],
"source": [
- "df_c[num_cols].boxplot()"
+ "# plot graph for top10\n",
+ "pl.plot_bar(new_df, \"handset_type\", \"count\", 'Top 10 handsets used by the customers', 'handset_type', 'count')"
]
},
{
"cell_type": "code",
- "execution_count": 41,
+ "execution_count": 30,
"metadata": {},
"outputs": [
{
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "['Last Location Name', 'End', 'Handset Manufacturer', 'Start', 'Handset Type']\n",
- "Last Location Name D41377B\n",
- "End 2019-04-25 00:01:32\n",
- "Handset Manufacturer Apple\n",
- "Start 2019-04-29 07:08:38\n",
- "Handset Type Huawei B528S-23A\n",
- "Name: 0, dtype: object\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "/home/jedi/anaconda3/lib/python3.9/site-packages/pandas/core/indexing.py:1884: SettingWithCopyWarning: \n",
- "A value is trying to be set on a copy of a slice from a DataFrame.\n",
- "Try using .loc[row_indexer,col_indexer] = value instead\n",
- "\n",
- "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
- " self._setitem_single_column(loc, val, pi)\n"
- ]
+ "data": {
+ "text/plain": [
+ "Huawei B528S-23A 20324\n",
+ "Apple iPhone 6S (A1688) 9419\n",
+ "Apple iPhone 6 (A1586) 9023\n",
+ "undefined 8987\n",
+ "Apple iPhone 7 (A1778) 6326\n",
+ "Apple iPhone Se (A1723) 5187\n",
+ "Apple iPhone 8 (A1905) 4993\n",
+ "Apple iPhone Xr (A2105) 4568\n",
+ "Samsung Galaxy S8 (Sm-G950F) 4520\n",
+ "Apple iPhone X (A1901) 3813\n",
+ "Name: handset_type, dtype: int64"
+ ]
+ },
+ "execution_count": 30,
+ "metadata": {},
+ "output_type": "execute_result"
}
],
"source": [
- "# cat_cols= list(set(cols) - set(num_cols))\n",
- "# df_single.loc[:,cat_cols] = df_single.loc[:,cat_cols].fillna(df.loc[:,cat_cols].mode().iloc[0])\n",
- "# df_cols = df_single.columns\n",
- "# print(cat_cols)\n",
- "# print(df_single.loc[:,cat_cols].mode().iloc[0])"
+ "top10"
]
},
{
"cell_type": "code",
- "execution_count": 168,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "['end', 'start', 'handset_type', 'handset_manufacturer', 'last_location_name']\n",
- "end 2019-04-25 00:01:32\n",
- "start 2019-04-29 07:08:38\n",
- "handset_type Huawei B528S-23A\n",
- "handset_manufacturer Apple\n",
- "last_location_name D41377B\n",
- "Name: 0, dtype: object\n"
- ]
- }
- ],
- "source": [
- "df_cols, df_single, cat_cols = preprocess.fill_categorical_variables(df_c, cols, num_cols, df_single)"
- ]
- },
- {
- "cell_type": "markdown",
+ "execution_count": 31,
"metadata": {},
+ "outputs": [],
"source": [
- "Check if missingness is now 0 for all variables remaining"
+ "top_3_manuf = df['handset_manufacturer'].value_counts().nlargest(3)"
]
},
{
"cell_type": "code",
- "execution_count": 169,
+ "execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "Index([], dtype='object')"
+ "Apple 60137\n",
+ "Samsung 40839\n",
+ "Huawei 34423\n",
+ "Name: handset_manufacturer, dtype: int64"
]
},
- "execution_count": 169,
+ "execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "df_single.columns[df_single.isnull().mean() > 0] # select those variables with missing values\n",
- "# empty column list indicates no variable has missing values anymore!"
+ "top_3_manuf"
]
},
{
"cell_type": "code",
- "execution_count": 171,
+ "execution_count": 33,
"metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": "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",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
- "df_single['avg_rtt_dl_(ms)'].plot.hist(figsize=(16,8));"
+ "new_df = pd.DataFrame()\n",
+ "new_df['handset_manufacturer'] = top_3_manuf.index\n",
+ "new_df['count'] = top_3_manuf.values"
]
},
{
"cell_type": "code",
- "execution_count": 172,
+ "execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": "iVBORw0KGgoAAAANSUhEUgAAA8oAAAHSCAYAAAA0dTLrAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAAgdklEQVR4nO3df7Bm9V0f8Pcnu0ogEQJhk+IuuqTZSSSMTsKKaDpWsxrWqiFtQ7sZY3YslZqiRuuMQuoUR4dOMrWiTA0VAwYwDSCmhlpjRFAznYmQzY8pAULZCRFWMKyCBH8EXPz0j+fs+N2bu3dvgHufy+X1mnnmOefzfL/n+Z7hO7u895zzfaq7AwAAAMw8b94DAAAAgLVEUAYAAICBoAwAAAADQRkAAAAGgjIAAAAMBGUAAAAYbJz3ANaKE088sbdu3TrvYQAAALACPv7xj/95d29aTltBebJ169bs2bNn3sMAAABgBVTVnyy3rVuvAQAAYCAoAwAAwEBQBgAAgIGgDAAAAANBGQAAAAaCMgAAAAwEZQAAABgIygAAADAQlAEAAGAgKAMAAMBAUAYAAICBoAwAAAADQRkAAAAGgjIAAAAMBGUAAAAYCMoAAAAwEJQBAABgICgDAADAQFAGAACAwcZ5D4Dl23rB/573EJ71PvfO7573EAAAgDXOFWUAAAAYCMoAAAAwWLGgXFVXVtVDVfXpofZfquozVfV/q+p/VtWLhs8urKq9VXV3VZ011E+vqtunzy6tqprqR1XVdVP91qraOvTZXVX3TK/dK3WOAAAArD8reUX5vUl2LqjdlOS07v76JP8vyYVJUlWnJtmV5FVTn3dX1Yapz2VJzkuybXodPOa5SR7p7pcnuSTJu6ZjnZDkoiTflOSMJBdV1fErcH4AAACsQysWlLv7I0keXlD7ve4+MO3+cZIt0/bZSa7t7se7+94ke5OcUVUnJTm2uz/a3Z3k6iRvHPpcNW3fkGTHdLX5rCQ3dffD3f1IZuF8YWAHAACARc3zGeV/k+RD0/bmJPcPn+2bapun7YX1Q/pM4fvRJC9e4lgAAABwRHMJylX1H5McSPK+g6VFmvUS9afaZ+E4zquqPVW1Z//+/UsPGgAAgOeEVQ/K0+Ja35Pk+6bbqZPZVd+Th2Zbkjww1bcsUj+kT1VtTHJcZrd6H+5YX6K7L+/u7d29fdOmTU/ntAAAAFgnVjUoV9XOJD+V5A3d/TfDRzcm2TWtZH1KZot23dbdDyZ5rKrOnJ4/fmuSDw59Dq5o/aYkt0zB+8NJXl9Vx0+LeL1+qgEAAMARbVypA1fV+5N8W5ITq2pfZitRX5jkqCQ3Tb/y9Mfd/UPdfUdVXZ/kzsxuyT6/u5+cDvW2zFbQPjqzZ5oPPtd8RZJrqmpvZleSdyVJdz9cVT+X5GNTu5/t7kMWFQMAAIDDWbGg3N1vXqR8xRLtL05y8SL1PUlOW6T+xSTnHOZYVya5ctmDBQAAgMk8V70GAACANUdQBgAAgIGgDAAAAANBGQAAAAaCMgAAAAwEZQAAABgIygAAADAQlAEAAGAgKAMAAMBAUAYAAICBoAwAAAADQRkAAAAGgjIAAAAMBGUAAAAYCMoAAAAwEJQBAABgICgDAADAQFAGAACAgaAMAAAAA0EZAAAABoIyAAAADARlAAAAGAjKAAAAMBCUAQAAYCAoAwAAwEBQBgAAgIGgDAAAAANBGQAAAAaCMgAAAAwEZQAAABgIygAAADAQlAEAAGAgKAMAAMBAUAYAAICBoAwAAAADQRkAAAAGgjIAAAAMBGUAAAAYCMoAAAAwEJQBAABgICgDAADAQFAGAACAgaAMAAAAA0EZAAAABoIyAAAADARlAAAAGAjKAAAAMBCUAQAAYCAoAwAAwEBQBgAAgIGgDAAAAANBGQAAAAaCMgAAAAwEZQAAABgIygAAADAQlAEAAGAgKAMAAMBAUAYAAICBoAwAAACDFQvKVXVlVT1UVZ8eaidU1U1Vdc/0fvzw2YVVtbeq7q6qs4b66VV1+/TZpVVVU/2oqrpuqt9aVVuHPrun77inqnav1DkCAACw/qzkFeX3Jtm5oHZBkpu7e1uSm6f9VNWpSXYledXU591VtWHqc1mS85Jsm14Hj3lukke6++VJLknyrulYJyS5KMk3JTkjyUVjIAcAAIClrFhQ7u6PJHl4QfnsJFdN21cleeNQv7a7H+/ue5PsTXJGVZ2U5Nju/mh3d5KrF/Q5eKwbkuyYrjafleSm7n64ux9JclO+NLADAADAolb7GeWXdveDSTK9v2Sqb05y/9Bu31TbPG0vrB/Sp7sPJHk0yYuXOBYAAAAc0VpZzKsWqfUS9afa59AvrTqvqvZU1Z79+/cva6AAAACsb6sdlD8/3U6d6f2hqb4vyclDuy1JHpjqWxapH9KnqjYmOS6zW70Pd6wv0d2Xd/f27t6+adOmp3FaAAAArBerHZRvTHJwFerdST441HdNK1mfktmiXbdNt2c/VlVnTs8fv3VBn4PHelOSW6bnmD+c5PVVdfy0iNfrpxoAAAAc0caVOnBVvT/JtyU5sar2ZbYS9TuTXF9V5ya5L8k5SdLdd1TV9UnuTHIgyfnd/eR0qLdltoL20Uk+NL2S5Iok11TV3syuJO+ajvVwVf1cko9N7X62uxcuKgYAAACLWrGg3N1vPsxHOw7T/uIkFy9S35PktEXqX8wUtBf57MokVy57sAAAADBZK4t5AQAAwJogKAMAAMBAUAYAAICBoAwAAAADQRkAAAAGgjIAAAAMBGUAAAAYCMoAAAAwEJQBAABgICgDAADAQFAGAACAgaAMAAAAA0EZAAAABoIyAAAADARlAAAAGAjKAAAAMBCUAQAAYCAoAwAAwEBQBgAAgIGgDAAAAANBGQAAAAaCMgAAAAwEZQAAABgIygAAADAQlAEAAGAgKAMAAMBAUAYAAICBoAwAAAADQRkAAAAGgjIAAAAMBGUAAAAYCMoAAAAwEJQBAABgICgDAADAQFAGAACAgaAMAAAAA0EZAAAABoIyAAAADARlAAAAGAjKAAAAMBCUAQAAYCAoAwAAwEBQBgAAgIGgDAAAAANBGQAAAAaCMgAAAAwEZQAAABgIygAAADAQlAEAAGAgKAMAAMBAUAYAAICBoAwAAAADQRkAAAAGgjIAAAAMBGUAAAAYCMoAAAAwEJQBAABgICgDAADAQFAGAACAwVyCclX9eFXdUVWfrqr3V9Xzq+qEqrqpqu6Z3o8f2l9YVXur6u6qOmuon15Vt0+fXVpVNdWPqqrrpvqtVbV1DqcJAADAs9CqB+Wq2pzkR5Ns7+7TkmxIsivJBUlu7u5tSW6e9lNVp06fvyrJziTvrqoN0+EuS3Jekm3Ta+dUPzfJI9398iSXJHnXKpwaAAAA68C8br3emOToqtqY5JgkDyQ5O8lV0+dXJXnjtH12kmu7+/HuvjfJ3iRnVNVJSY7t7o92dye5ekGfg8e6IcmOg1ebAQAAYCmrHpS7+0+T/HyS+5I8mOTR7v69JC/t7genNg8mecnUZXOS+4dD7Jtqm6fthfVD+nT3gSSPJnnxwrFU1XlVtaeq9uzfv/+ZOUEAAACe1eZx6/XxmV3xPSXJVyd5QVW9Zakui9R6ifpSfQ4tdF/e3du7e/umTZuWHjgAAADPCfO49fo7ktzb3fu7+++SfCDJtyT5/HQ7dab3h6b2+5KcPPTfktmt2vum7YX1Q/pMt3cfl+ThFTkbAAAA1pV5BOX7kpxZVcdMzw3vSHJXkhuT7J7a7E7ywWn7xiS7ppWsT8ls0a7bptuzH6uqM6fjvHVBn4PHelOSW6bnmAEAAGBJG1f7C7v71qq6IcknkhxI8skklyd5YZLrq+rczML0OVP7O6rq+iR3Tu3P7+4np8O9Lcl7kxyd5EPTK0muSHJNVe3N7EryrlU4NQAAANaBVQ/KSdLdFyW5aEH58cyuLi/W/uIkFy9S35PktEXqX8wUtAEAAODLMa+fhwIAAIA1SVAGAACAgaAMAAAAA0EZAAAABoIyAAAADARlAAAAGAjKAAAAMBCUAQAAYCAoAwAAwEBQBgAAgIGgDAAAAANBGQAAAAaCMgAAAAwEZQAAABgIygAAADAQlAEAAGAgKAMAAMBAUAYAAICBoAwAAAADQRkAAAAGgjIAAAAMBGUAAAAYCMoAAAAwEJQBAABgsKygXFWnrfRAAAAAYC1Y7hXl/15Vt1XVv6+qF63kgAAAAGCelhWUu/ufJPm+JCcn2VNV/6OqvnNFRwYAAABzsOxnlLv7niQ/neSnkvzTJJdW1Weq6l+s1OAAAABgtS33GeWvr6pLktyV5HVJvre7v27avmQFxwcAAACrauMy2/23JL+a5B3d/bcHi939QFX99IqMDAAAAOZguUH5nyX52+5+Mkmq6nlJnt/df9Pd16zY6AAAAGCVLfcZ5d9PcvSwf8xUAwAAgHVluUH5+d39Vwd3pu1jVmZIAAAAMD/LDcp/XVWvObhTVacn+dsl2gMAAMCz0nKfUf6xJL9RVQ9M+ycl+dcrMiIAAACYo2UF5e7+WFW9MskrklSSz3T3363oyAAAAGAOlntFOUm+McnWqc+rqyrdffWKjAoAAADmZFlBuaquSfKPk3wqyZNTuZMIygAAAKwry72ivD3Jqd3dKzkYAAAAmLflrnr96ST/aCUHAgAAAGvBcq8on5jkzqq6LcnjB4vd/YYVGRUAAADMyXKD8s+s5CAAAABgrVjuz0P9UVV9bZJt3f37VXVMkg0rOzQAAABYfct6RrmqfjDJDUl+ZSptTvJbKzQmAAAAmJvlLuZ1fpLXJvlCknT3PUleslKDAgAAgHlZblB+vLufOLhTVRsz+x1lAAAAWFeWG5T/qKrekeToqvrOJL+R5H+t3LAAAABgPpYblC9Isj/J7Un+XZLfSfLTKzUoAAAAmJflrnr990l+dXoBAADAurWsoFxV92aRZ5K7+2XP+IgAAABgjpYVlJNsH7afn+ScJCc888MBAACA+VrWM8rd/RfD60+7+xeTvG5lhwYAAACrb7m3Xr9m2H1eZleYv2pFRgQAAABztNxbr//rsH0gyeeS/KtnfDQAAAAwZ8td9frbV3ogAAAAsBYs99br/7DU5939C8/McAAAAGC+vpxVr78xyY3T/vcm+UiS+1diUAAAADAvyw3KJyZ5TXc/liRV9TNJfqO7/+1KDQwAAADmYVk/D5Xka5I8Mew/kWTrMz4aAAAAmLPlBuVrktxWVT9TVRcluTXJ1U/1S6vqRVV1Q1V9pqruqqpvrqoTquqmqrpnej9+aH9hVe2tqrur6qyhfnpV3T59dmlV1VQ/qqqum+q3VtXWpzpWAAAAnluWFZS7++IkP5DkkSR/meQHuvs/P43v/aUkv9vdr0zyDUnuSnJBkpu7e1uSm6f9VNWpSXYleVWSnUneXVUbpuNcluS8JNum186pfm6SR7r75UkuSfKupzFWAAAAnkOWe0U5SY5J8oXu/qUk+6rqlKfyhVV1bJJvTXJFknT3E939l0nOTnLV1OyqJG+cts9Ocm13P97d9ybZm+SMqjopybHd/dHu7syucI99Dh7rhiQ7Dl5tBgAAgKUsKyhPt1v/VJILp9JXJPn1p/idL0uyP8mvVdUnq+o9VfWCJC/t7geTZHp/ydR+cw5dXXvfVNs8bS+sH9Knuw8keTTJixc5r/Oqak9V7dm/f/9TPB0AAADWk+VeUf7nSd6Q5K+TpLsfSPJVT/E7NyZ5TZLLuvvV0zEvWKL9YleCe4n6Un0OLXRf3t3bu3v7pk2blh41AAAAzwnLDcpPTLc3d5JMV4Cfqn1J9nX3rdP+DZkF589Pt1Nnen9oaH/y0H9Lkgem+pZF6of0qaqNSY5L8vDTGDMAAADPEcsNytdX1a8keVFV/WCS30/yq0/lC7v7z5LcX1WvmEo7ktyZ5MYku6fa7iQfnLZvTLJrWsn6lMwW7bptuj37sao6c3r++K0L+hw81puS3DIFfQAAAFjSxiM1mELodUlemeQLSV6R5D91901P43t/JMn7quork3w2sxW1n5dZID83yX1JzkmS7r6jqq7PLEwfSHJ+dz85HedtSd6b5OgkH5peyWyhsGuqam9mV5J3PY2xAgAA8BxyxKDc3V1Vv9Xdpyd5OuF4POankmxf5KMdh2l/cZKLF6nvSXLaIvUvZgraAAAA8OVY7q3Xf1xV37iiIwEAAIA14IhXlCffnuSHqupzma1SXZldbP76lRoYAAAAzMOSQbmqvqa770vyXas0HgAAAJirI11R/q0kr+nuP6mq3+zuf7kKYwIAAIC5OdIzyjVsv2wlBwIAAABrwZGCch9mGwAAANalI916/Q1V9YXMriwfPW0n/7CY17ErOjoAAABYZUsG5e7esFoDAQAAgLVgub+jDAAAAM8JgjIAAAAMBGUAAAAYCMoAAAAwEJQBAABgICgDAADAQFAGAACAgaAMAAAAA0EZAAAABoIyAAAADARlAAAAGAjKAAAAMBCUAQAAYCAoAwAAwEBQBgAAgIGgDAAAAANBGQAAAAaCMgAAAAwEZQAAABgIygAAADAQlAEAAGAgKAMAAMBAUAYAAICBoAwAAAADQRkAAAAGgjIAAAAMBGUAAAAYCMoAAAAwEJQBAABgICgDAADAQFAGAACAgaAMAAAAA0EZAAAABoIyAAAADARlAAAAGAjKAAAAMBCUAQAAYCAoAwAAwEBQBgAAgIGgDAAAAANBGQAAAAaCMgAAAAwEZQAAABgIygAAADAQlAEAAGAgKAMAAMBAUAYAAICBoAwAAAADQRkAAAAGgjIAAAAM5haUq2pDVX2yqn572j+hqm6qqnum9+OHthdW1d6quruqzhrqp1fV7dNnl1ZVTfWjquq6qX5rVW1d9RMEAADgWWmeV5TfnuSuYf+CJDd397YkN0/7qapTk+xK8qokO5O8u6o2TH0uS3Jekm3Ta+dUPzfJI9398iSXJHnXyp4KAAAA68VcgnJVbUny3UneM5TPTnLVtH1VkjcO9Wu7+/HuvjfJ3iRnVNVJSY7t7o92dye5ekGfg8e6IcmOg1ebAQAAYCnzuqL8i0l+MsnfD7WXdveDSTK9v2Sqb05y/9Bu31TbPG0vrB/Sp7sPJHk0yYuf0TMAAABgXVr1oFxV35Pkoe7++HK7LFLrJepL9Vk4lvOqak9V7dm/f/8yhwMAAMB6No8ryq9N8oaq+lySa5O8rqp+Pcnnp9upM70/NLXfl+Tkof+WJA9M9S2L1A/pU1UbkxyX5OGFA+nuy7t7e3dv37Rp0zNzdgAAADyrrXpQ7u4Lu3tLd2/NbJGuW7r7LUluTLJ7arY7yQen7RuT7JpWsj4ls0W7bptuz36sqs6cnj9+64I+B4/1puk7vuSKMgAAACy0cd4DGLwzyfVVdW6S+5KckyTdfUdVXZ/kziQHkpzf3U9Ofd6W5L1Jjk7yoemVJFckuaaq9mZ2JXnXap0EAAAAz25zDcrd/YdJ/nDa/oskOw7T7uIkFy9S35PktEXqX8wUtAEAAODLMc/fUQYAAIA1R1AGAACAgaAMAAAAA0EZAAAABoIyAAAADARlAAAAGAjKAAAAMBCUAQAAYCAoAwAAwEBQBgAAgIGgDAAAAANBGQAAAAaCMgAAAAwEZQAAABgIygAAADAQlAEAAGAgKAMAAMBAUAYAAICBoAwAAAADQRkAAAAGgjIAAAAMBGUAAAAYCMoAAAAwEJQBAABgICgDAADAQFAGAACAgaAMAAAAA0EZAAAABoIyAAAADARlAAAAGAjKAAAAMBCUAQAAYCAoAwAAwEBQBgAAgIGgDAAAAANBGQAAAAaCMgAAAAwEZQAAABgIygAAADAQlAEAAGAgKAMAAMBAUAYAAICBoAwAAAADQRkAAAAGgjIAAAAMBGUAAAAYCMoAAAAwEJQBAABgICgDAADAQFAGAACAgaAMAAAAA0EZAAAABoIyAAAADARlAAAAGAjKAAAAMBCUAQAAYCAoAwAAwEBQBgAAgIGgDAAAAINVD8pVdXJV/UFV3VVVd1TV26f6CVV1U1XdM70fP/S5sKr2VtXdVXXWUD+9qm6fPru0qmqqH1VV1031W6tq62qfJwAAAM9O87iifCDJT3T31yU5M8n5VXVqkguS3Nzd25LcPO1n+mxXklcl2Znk3VW1YTrWZUnOS7Jteu2c6ucmeaS7X57kkiTvWo0TAwAA4Nlv1YNydz/Y3Z+Yth9LcleSzUnOTnLV1OyqJG+cts9Ocm13P97d9ybZm+SMqjopybHd/dHu7iRXL+hz8Fg3JNlx8GozAAAALGWuzyhPt0S/OsmtSV7a3Q8mszCd5CVTs81J7h+67Ztqm6fthfVD+nT3gSSPJnnxipwEAAAA68rcgnJVvTDJbyb5se7+wlJNF6n1EvWl+iwcw3lVtaeq9uzfv/9IQwYAAOA5YC5Buaq+IrOQ/L7u/sBU/vx0O3Wm94em+r4kJw/dtyR5YKpvWaR+SJ+q2pjkuCQPLxxHd1/e3du7e/umTZueiVMDAADgWW4eq15XkiuS3NXdvzB8dGOS3dP27iQfHOq7ppWsT8ls0a7bptuzH6uqM6djvnVBn4PHelOSW6bnmAEAAGBJG+fwna9N8v1Jbq+qT021dyR5Z5Lrq+rcJPclOSdJuvuOqro+yZ2ZrZh9fnc/OfV7W5L3Jjk6yYemVzIL4tdU1d7MriTvWuFzAgAAYJ1Y9aDc3f8niz9DnCQ7DtPn4iQXL1Lfk+S0RepfzBS0AQAA4Msx11WvAQAAYK0RlAEAAGAgKAMAAMBAUAYAAICBoAwAAAADQRkAAAAGgjIAAAAMBGUAAAAYCMoAAAAwEJQBAABgICgDAADAQFAGAACAgaAMAAAAA0EZAAAABoIyAAAADARlAAAAGAjKAAAAMBCUAQAAYCAoAwAAwEBQBgAAgIGgDAAAAANBGQAAAAaCMgAAAAwEZQAAABgIygAAADAQlAEAAGAgKAMAAMBAUAYAAICBoAwAAAADQRkAAAAGgjIAAAAMBGUAAAAYCMoAAAAwEJQBAABgICgDAADAQFAGAACAgaAMAAAAA0EZAAAABoIyAAAADARlAAAAGAjKAAAAMBCUAQAAYCAoAwAAwEBQBgAAgIGgDAAAAANBGQAAAAaCMgAAAAwEZQAAABgIygAAADAQlAEAAGAgKAMAAMBAUAYAAICBoAwAAAADQRkAAAAGgjIAAAAMBGUAAAAYCMoAAAAwEJQBAABgICgDAADAYF0H5araWVV3V9Xeqrpg3uMBAABg7Vu3QbmqNiT55STfleTUJG+uqlPnOyoAAADWunUblJOckWRvd3+2u59Icm2Ss+c8JgAAANa49RyUNye5f9jfN9UAAADgsDbOewArqBap9SENqs5Lct60+1dVdfeKj+rpOTHJn897EM9m9a55j2BdMz9Zq8xN1ipzk7XM/GStejpz82uX23A9B+V9SU4e9rckeWBs0N2XJ7l8NQf1dFTVnu7ePu9xwGLMT9Yqc5O1ytxkLTM/WatWa26u51uvP5ZkW1WdUlVfmWRXkhvnPCYAAADWuHV7Rbm7D1TVDyf5cJINSa7s7jvmPCwAAADWuHUblJOku38nye/MexzPoGfNbeI8J5mfrFXmJmuVuclaZn6yVq3K3KzuPnIrAAAAeI5Yz88oAwAAwJdNUH4WqKqdVXV3Ve2tqgvmPR7Wp6o6uar+oKruqqo7qurtU/2Eqrqpqu6Z3o8f+lw4zcu7q+qsoX56Vd0+fXZpVdVUP6qqrpvqt1bV1lU/UZ61qmpDVX2yqn572jc3WROq6kVVdUNVfWb6M/SbzU/Wiqr68env9U9X1fur6vnmJ/NQVVdW1UNV9emhtipzsap2T99xT1XtXs54BeU1rqo2JPnlJN+V5NQkb66qU+c7KtapA0l+oru/LsmZSc6f5toFSW7u7m1Jbp72M322K8mrkuxM8u5pvibJZZn9Rvm26bVzqp+b5JHufnmSS5L4ZWu+HG9Pctewb26yVvxSkt/t7lcm+YbM5qn5ydxV1eYkP5pke3efltkCt7tifjIf780/zJuDVnwuVtUJSS5K8k1Jzkhy0RjID0dQXvvOSLK3uz/b3U8kuTbJ2XMeE+tQdz/Y3Z+Yth/L7H/0Nmc2366aml2V5I3T9tlJru3ux7v73iR7k5xRVSclOba7P9qzRRCuXtDn4LFuSLLj4L8CwlKqakuS707ynqFsbjJ3VXVskm9NckWSdPcT3f2XMT9ZOzYmObqqNiY5JskDMT+Zg+7+SJKHF5RXYy6eleSm7n64ux9JclO+NLB/CUF57duc5P5hf99UgxUz3ary6iS3Jnlpdz+YzMJ0kpdMzQ43NzdP2wvrh/Tp7gNJHk3y4hU5CdabX0zyk0n+fqiZm6wFL0uyP8mv1ezRgPdU1QtifrIGdPefJvn5JPcleTDJo939ezE/WTtWYy4+pTwlKK99i/2LnKXKWTFV9cIkv5nkx7r7C0s1XaTWS9SX6gOHVVXfk+Sh7v74crssUjM3WSkbk7wmyWXd/eokf53p1sHDMD9ZNdPtpWcnOSXJVyd5QVW9Zakui9TMT+bhmZyLT2mOCspr374kJw/7WzK7ZQaecVX1FZmF5Pd19wem8uen21wyvT801Q83N/dN2wvrh/SZbgE7Ll96Cw4s9Nokb6iqz2X2+MnrqurXY26yNuxLsq+7b532b8gsOJufrAXfkeTe7t7f3X+X5ANJviXmJ2vHaszFp5SnBOW172NJtlXVKVX1lZk91H7jnMfEOjQ9w3FFkru6+xeGj25McnB1wN1JPjjUd00rDJ6S2WIKt023zTxWVWdOx3zrgj4Hj/WmJLe0H3PnCLr7wu7e0t1bM/sz8JbufkvMTdaA7v6zJPdX1Sum0o4kd8b8ZG24L8mZVXXMNK92ZLYGifnJWrEac/HDSV5fVcdPd1m8fqotaePTPzdWUncfqKofzuw/5oYkV3b3HXMeFuvTa5N8f5Lbq+pTU+0dSd6Z5PqqOjezv3DPSZLuvqOqrs/sfwgPJDm/u5+c+r0ts5UNj07yoemVzIL4NVW1N7N/4du1wufE+mZuslb8SJL3Tf+g/dkkP5DZxQjzk7nq7lur6oYkn8hsvn0yyeVJXhjzk1VWVe9P8m1JTqyqfZmtRL3if5d398NV9XOZXYBMkp/t7iPe9VD+wQcAAAD+gVuvAQAAYCAoAwAAwEBQBgAAgIGgDAAAAANBGQAAAAaCMgAAAAwEZQAAABgIygAAADD4/zuExmHh5A0fAAAAAElFTkSuQmCC",
+ "image/png": "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",
"text/plain": [
- ""
+ ""
]
},
"metadata": {
@@ -1891,140 +1443,32 @@
}
],
"source": [
- "df_before_filling['avg_rtt_dl_(ms)'].plot.hist(figsize=(16,8));"
+ "# plot graph for top10\n",
+ "pl.plot_bar(new_df, 'handset_manufacturer', 'count', 'Top 3 handset manufacturers', 'Manufacturers', 'count')\n",
+ "\n",
+ "# plt.figure(figsize=(10,5))\n",
+ "# plt.bar(top_3_manuf.index, top_3_manuf.values)\n",
+ "# plt.xticks(rotation=0)"
]
},
{
"cell_type": "code",
- "execution_count": 173,
+ "execution_count": 35,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n",
- "RangeIndex: 150001 entries, 0 to 150000\n",
- "Data columns (total 45 columns):\n",
- " # Column Non-Null Count Dtype \n",
- "--- ------ -------------- ----- \n",
- " 0 bearer_id 150001 non-null float64 \n",
- " 1 start 150001 non-null datetime64[ns]\n",
- " 2 start_ms 150001 non-null float64 \n",
- " 3 end 150001 non-null datetime64[ns]\n",
- " 4 end_ms 150001 non-null float64 \n",
- " 5 dur._(ms) 150001 non-null float64 \n",
- " 6 imsi 150001 non-null float64 \n",
- " 7 msisdn/number 150001 non-null float64 \n",
- " 8 imei 150001 non-null float64 \n",
- " 9 last_location_name 150001 non-null object \n",
- " 10 avg_rtt_dl_(ms) 150001 non-null float64 \n",
- " 11 avg_rtt_ul_(ms) 150001 non-null float64 \n",
- " 12 avg_bearer_tp_dl_(kbps) 150001 non-null float64 \n",
- " 13 avg_bearer_tp_ul_(kbps) 150001 non-null float64 \n",
- " 14 dl_tp_<_50_kbps_(%) 150001 non-null float64 \n",
- " 15 50_kbps_<_dl_tp_<_250_kbps_(%) 150001 non-null float64 \n",
- " 16 250_kbps_<_dl_tp_<_1_mbps_(%) 150001 non-null float64 \n",
- " 17 dl_tp_>_1_mbps_(%) 150001 non-null float64 \n",
- " 18 ul_tp_<_10_kbps_(%) 150001 non-null float64 \n",
- " 19 10_kbps_<_ul_tp_<_50_kbps_(%) 150001 non-null float64 \n",
- " 20 50_kbps_<_ul_tp_<_300_kbps_(%) 150001 non-null float64 \n",
- " 21 ul_tp_>_300_kbps_(%) 150001 non-null float64 \n",
- " 22 activity_duration_dl_(ms) 150001 non-null float64 \n",
- " 23 activity_duration_ul_(ms) 150001 non-null float64 \n",
- " 24 dur._(ms).1 150001 non-null float64 \n",
- " 25 handset_manufacturer 150001 non-null object \n",
- " 26 handset_type 150001 non-null object \n",
- " 27 nb_of_sec_with_vol_dl_<_6250b 150001 non-null float64 \n",
- " 28 nb_of_sec_with_vol_ul_<_1250b 150001 non-null float64 \n",
- " 29 social_media_dl_(bytes) 150001 non-null float64 \n",
- " 30 social_media_ul_(bytes) 150001 non-null float64 \n",
- " 31 google_dl_(bytes) 150001 non-null float64 \n",
- " 32 google_ul_(bytes) 150001 non-null float64 \n",
- " 33 email_dl_(bytes) 150001 non-null float64 \n",
- " 34 email_ul_(bytes) 150001 non-null float64 \n",
- " 35 youtube_dl_(bytes) 150001 non-null float64 \n",
- " 36 youtube_ul_(bytes) 150001 non-null float64 \n",
- " 37 netflix_dl_(bytes) 150001 non-null float64 \n",
- " 38 netflix_ul_(bytes) 150001 non-null float64 \n",
- " 39 gaming_dl_(bytes) 150001 non-null float64 \n",
- " 40 gaming_ul_(bytes) 150001 non-null float64 \n",
- " 41 other_dl_(bytes) 150001 non-null float64 \n",
- " 42 other_ul_(bytes) 150001 non-null float64 \n",
- " 43 total_ul_(bytes) 150001 non-null float64 \n",
- " 44 total_dl_(bytes) 150001 non-null float64 \n",
- "dtypes: datetime64[ns](2), float64(40), object(3)\n",
- "memory usage: 51.5+ MB\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
- "df_single.info()"
+ "appCount = df.groupby('handset_manufacturer')['handset_type'].value_counts()['Apple'].nlargest(5)"
]
},
{
"cell_type": "code",
- "execution_count": 174,
+ "execution_count": 36,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "bearer_id 0\n",
- "start 0\n",
- "start_ms 0\n",
- "end 0\n",
- "end_ms 0\n",
- "dur._(ms) 0\n",
- "imsi 0\n",
- "msisdn/number 0\n",
- "imei 0\n",
- "last_location_name 0\n",
- "avg_rtt_dl_(ms) 0\n",
- "avg_rtt_ul_(ms) 0\n",
- "avg_bearer_tp_dl_(kbps) 0\n",
- "avg_bearer_tp_ul_(kbps) 0\n",
- "dl_tp_<_50_kbps_(%) 0\n",
- "50_kbps_<_dl_tp_<_250_kbps_(%) 0\n",
- "250_kbps_<_dl_tp_<_1_mbps_(%) 0\n",
- "dl_tp_>_1_mbps_(%) 0\n",
- "ul_tp_<_10_kbps_(%) 0\n",
- "10_kbps_<_ul_tp_<_50_kbps_(%) 0\n",
- "50_kbps_<_ul_tp_<_300_kbps_(%) 0\n",
- "ul_tp_>_300_kbps_(%) 0\n",
- "activity_duration_dl_(ms) 0\n",
- "activity_duration_ul_(ms) 0\n",
- "dur._(ms).1 0\n",
- "handset_manufacturer 0\n",
- "handset_type 0\n",
- "nb_of_sec_with_vol_dl_<_6250b 0\n",
- "nb_of_sec_with_vol_ul_<_1250b 0\n",
- "social_media_dl_(bytes) 0\n",
- "social_media_ul_(bytes) 0\n",
- "google_dl_(bytes) 0\n",
- "google_ul_(bytes) 0\n",
- "email_dl_(bytes) 0\n",
- "email_ul_(bytes) 0\n",
- "youtube_dl_(bytes) 0\n",
- "youtube_ul_(bytes) 0\n",
- "netflix_dl_(bytes) 0\n",
- "netflix_ul_(bytes) 0\n",
- "gaming_dl_(bytes) 0\n",
- "gaming_ul_(bytes) 0\n",
- "other_dl_(bytes) 0\n",
- "other_ul_(bytes) 0\n",
- "total_ul_(bytes) 0\n",
- "total_dl_(bytes) 0\n",
- "dtype: int64"
- ]
- },
- "execution_count": 174,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
- "df_single.isna().sum()"
+ "new_df = pd.DataFrame()\n",
+ "new_df['Handset'] = appCount.index\n",
+ "new_df['count'] = appCount.values"
]
},
{
@@ -2034,869 +1478,14 @@
},
{
"cell_type": "code",
- "execution_count": 179,
+ "execution_count": 37,
"metadata": {},
"outputs": [
{
"data": {
- "text/html": [
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " | \n",
- " bearer_id | \n",
- " start | \n",
- " start_ms | \n",
- " end | \n",
- " end_ms | \n",
- " dur._(ms) | \n",
- " imsi | \n",
- " msisdn/number | \n",
- " imei | \n",
- " last_location_name | \n",
- " ... | \n",
- " youtube_dl_(bytes) | \n",
- " youtube_ul_(bytes) | \n",
- " netflix_dl_(bytes) | \n",
- " netflix_ul_(bytes) | \n",
- " gaming_dl_(bytes) | \n",
- " gaming_ul_(bytes) | \n",
- " other_dl_(bytes) | \n",
- " other_ul_(bytes) | \n",
- " total_ul_(bytes) | \n",
- " total_dl_(bytes) | \n",
- " \n",
- " \n",
- " \n",
- " \n",
- " | 0 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-04 12:01:18 | \n",
- " 770.0 | \n",
- " 2019-04-25 14:35:31 | \n",
- " 662.0 | \n",
- " 1823652.0 | \n",
- " 2.082014e+14 | \n",
- " 3.366496e+10 | \n",
- " 3.552121e+13 | \n",
- " 9164566995485190 | \n",
- " ... | \n",
- " 15854611.0 | \n",
- " 2501332.0 | \n",
- " 8198936.0 | \n",
- " 9656251.0 | \n",
- " 278082303.0 | \n",
- " 14344150.0 | \n",
- " 171744450.0 | \n",
- " 8814393.0 | \n",
- " 36749741.0 | \n",
- " 308879636.0 | \n",
- " \n",
- " \n",
- " | 1 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-09 13:04:04 | \n",
- " 235.0 | \n",
- " 2019-04-25 08:15:48 | \n",
- " 606.0 | \n",
- " 1365104.0 | \n",
- " 2.082019e+14 | \n",
- " 3.368185e+10 | \n",
- " 3.579401e+13 | \n",
- " L77566A | \n",
- " ... | \n",
- " 20247395.0 | \n",
- " 19111729.0 | \n",
- " 18338413.0 | \n",
- " 17227132.0 | \n",
- " 608750074.0 | \n",
- " 1170709.0 | \n",
- " 526904238.0 | \n",
- " 15055145.0 | \n",
- " 53800391.0 | \n",
- " 653384965.0 | \n",
- " \n",
- " \n",
- " | 2 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-09 17:42:11 | \n",
- " 1.0 | \n",
- " 2019-04-25 11:58:13 | \n",
- " 652.0 | \n",
- " 1361762.0 | \n",
- " 2.082003e+14 | \n",
- " 3.376063e+10 | \n",
- " 3.528151e+13 | \n",
- " D42335A | \n",
- " ... | \n",
- " 19725661.0 | \n",
- " 14699576.0 | \n",
- " 17587794.0 | \n",
- " 6163408.0 | \n",
- " 229584621.0 | \n",
- " 395630.0 | \n",
- " 410692588.0 | \n",
- " 4215763.0 | \n",
- " 27883638.0 | \n",
- " 279807335.0 | \n",
- " \n",
- " \n",
- " | 3 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-10 00:31:25 | \n",
- " 486.0 | \n",
- " 2019-04-25 07:36:35 | \n",
- " 171.0 | \n",
- " 1321509.0 | \n",
- " 2.082014e+14 | \n",
- " 3.375034e+10 | \n",
- " 3.535661e+13 | \n",
- " T21824A | \n",
- " ... | \n",
- " 21388122.0 | \n",
- " 15146643.0 | \n",
- " 13994646.0 | \n",
- " 1097942.0 | \n",
- " 799538153.0 | \n",
- " 10849722.0 | \n",
- " 749039933.0 | \n",
- " 12797283.0 | \n",
- " 43324218.0 | \n",
- " 846028530.0 | \n",
- " \n",
- " \n",
- " | 4 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-12 20:10:23 | \n",
- " 565.0 | \n",
- " 2019-04-25 10:40:32 | \n",
- " 954.0 | \n",
- " 1089009.0 | \n",
- " 2.082014e+14 | \n",
- " 3.369980e+10 | \n",
- " 3.540701e+13 | \n",
- " D88865A | \n",
- " ... | \n",
- " 15259380.0 | \n",
- " 18962873.0 | \n",
- " 17124581.0 | \n",
- " 415218.0 | \n",
- " 527707248.0 | \n",
- " 3529801.0 | \n",
- " 550709500.0 | \n",
- " 13910322.0 | \n",
- " 38542814.0 | \n",
- " 569138589.0 | \n",
- " \n",
- " \n",
- " \n",
- " 5 rows × 45 columns \n",
- " \n",
- "\n",
- " \n",
- " \n",
- " \n",
- " | \n",
- " bearer_id | \n",
- " start | \n",
- " start_ms | \n",
- " end | \n",
- " end_ms | \n",
- " dur._(ms) | \n",
- " imsi | \n",
- " msisdn/number | \n",
- " imei | \n",
- " last_location_name | \n",
- " ... | \n",
- " youtube_dl_(bytes) | \n",
- " youtube_ul_(bytes) | \n",
- " netflix_dl_(bytes) | \n",
- " netflix_ul_(bytes) | \n",
- " gaming_dl_(bytes) | \n",
- " gaming_ul_(bytes) | \n",
- " other_dl_(bytes) | \n",
- " other_ul_(bytes) | \n",
- " total_ul_(bytes) | \n",
- " total_dl_(bytes) | \n",
- " \n",
- " \n",
- " \n",
- " \n",
- " | 0 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-04 12:01:18 | \n",
- " 770.0 | \n",
- " 2019-04-25 14:35:31 | \n",
- " 662.0 | \n",
- " 1823652.0 | \n",
- " 2.082014e+14 | \n",
- " 3.366496e+10 | \n",
- " 3.552121e+13 | \n",
- " 9164566995485190 | \n",
- " ... | \n",
- " 15854611.0 | \n",
- " 2501332.0 | \n",
- " 8198936.0 | \n",
- " 9656251.0 | \n",
- " 278082303.0 | \n",
- " 14344150.0 | \n",
- " 171744450.0 | \n",
- " 8814393.0 | \n",
- " 36749741.0 | \n",
- " 308879636.0 | \n",
- " \n",
- " \n",
- " | 1 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-09 13:04:04 | \n",
- " 235.0 | \n",
- " 2019-04-25 08:15:48 | \n",
- " 606.0 | \n",
- " 1365104.0 | \n",
- " 2.082019e+14 | \n",
- " 3.368185e+10 | \n",
- " 3.579401e+13 | \n",
- " L77566A | \n",
- " ... | \n",
- " 20247395.0 | \n",
- " 19111729.0 | \n",
- " 18338413.0 | \n",
- " 17227132.0 | \n",
- " 608750074.0 | \n",
- " 1170709.0 | \n",
- " 526904238.0 | \n",
- " 15055145.0 | \n",
- " 53800391.0 | \n",
- " 653384965.0 | \n",
- " \n",
- " \n",
- " | 2 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-09 17:42:11 | \n",
- " 1.0 | \n",
- " 2019-04-25 11:58:13 | \n",
- " 652.0 | \n",
- " 1361762.0 | \n",
- " 2.082003e+14 | \n",
- " 3.376063e+10 | \n",
- " 3.528151e+13 | \n",
- " D42335A | \n",
- " ... | \n",
- " 19725661.0 | \n",
- " 14699576.0 | \n",
- " 17587794.0 | \n",
- " 6163408.0 | \n",
- " 229584621.0 | \n",
- " 395630.0 | \n",
- " 410692588.0 | \n",
- " 4215763.0 | \n",
- " 27883638.0 | \n",
- " 279807335.0 | \n",
- " \n",
- " \n",
- " | 3 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-10 00:31:25 | \n",
- " 486.0 | \n",
- " 2019-04-25 07:36:35 | \n",
- " 171.0 | \n",
- " 1321509.0 | \n",
- " 2.082014e+14 | \n",
- " 3.375034e+10 | \n",
- " 3.535661e+13 | \n",
- " T21824A | \n",
- " ... | \n",
- " 21388122.0 | \n",
- " 15146643.0 | \n",
- " 13994646.0 | \n",
- " 1097942.0 | \n",
- " 799538153.0 | \n",
- " 10849722.0 | \n",
- " 749039933.0 | \n",
- " 12797283.0 | \n",
- " 43324218.0 | \n",
- " 846028530.0 | \n",
- " \n",
- " \n",
- " | 4 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-12 20:10:23 | \n",
- " 565.0 | \n",
- " 2019-04-25 10:40:32 | \n",
- " 954.0 | \n",
- " 1089009.0 | \n",
- " 2.082014e+14 | \n",
- " 3.369980e+10 | \n",
- " 3.540701e+13 | \n",
- " D88865A | \n",
- " ... | \n",
- " 15259380.0 | \n",
- " 18962873.0 | \n",
- " 17124581.0 | \n",
- " 415218.0 | \n",
- " 527707248.0 | \n",
- " 3529801.0 | \n",
- " 550709500.0 | \n",
- " 13910322.0 | \n",
- " 38542814.0 | \n",
- " 569138589.0 | \n",
- " \n",
- " \n",
- " \n",
- " 5 rows × 45 columns \n",
- " "
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# plot graph for top10\n",
- "plt.figure(figsize=(15,15))\n",
- "plt.bar(top10.index, top10.values)\n",
- "plt.xticks(rotation=45)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Huawei B528S-23A 20324\n",
- "Apple iPhone 6S (A1688) 9419\n",
- "Apple iPhone 6 (A1586) 9023\n",
- "undefined 8987\n",
- "Apple iPhone 7 (A1778) 6326\n",
- "Apple iPhone Se (A1723) 5187\n",
- "Apple iPhone 8 (A1905) 4993\n",
- "Apple iPhone Xr (A2105) 4568\n",
- "Samsung Galaxy S8 (Sm-G950F) 4520\n",
- "Apple iPhone X (A1901) 3813\n",
- "Name: handset_type, dtype: int64"
- ]
- },
- "execution_count": 13,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "top10"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 14,
- "metadata": {},
- "outputs": [],
- "source": [
- "top_3_manuf = df['handset_manufacturer'].value_counts().nlargest(3)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 16,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Apple 60137\n",
- "Samsung 40839\n",
- "Huawei 34423\n",
- "Name: handset_manufacturer, dtype: int64"
- ]
- },
- "execution_count": 16,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "top_3_manuf"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 18,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "([0, 1, 2], [Text(0, 0, ''), Text(0, 0, ''), Text(0, 0, '')])"
- ]
- },
- "execution_count": 18,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": "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",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# plot graph for top10\n",
- "plt.figure(figsize=(10,5))\n",
- "plt.bar(top_3_manuf.index, top_3_manuf.values)\n",
- "plt.xticks(rotation=0)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 20,
- "metadata": {},
- "outputs": [],
- "source": [
- "appCount = df.groupby('handset_manufacturer')['handset_type'].value_counts()['Apple'].nlargest(5)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 22,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "([0, 1, 2, 3, 4],\n",
- " [Text(0, 0, ''),\n",
- " Text(0, 0, ''),\n",
- " Text(0, 0, ''),\n",
- " Text(0, 0, ''),\n",
- " Text(0, 0, '')])"
- ]
- },
- "execution_count": 22,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": "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",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# plot graph for top10\n",
- "plt.figure(figsize=(15,10))\n",
- "plt.bar(appCount.index, appCount.values)\n",
- "plt.xticks(rotation=0)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 27,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "handset_type\n",
- "Apple iPhone 6S (A1688) 9419\n",
- "Apple iPhone 6 (A1586) 9023\n",
- "Apple iPhone 7 (A1778) 6326\n",
- "Apple iPhone Se (A1723) 5187\n",
- "Apple iPhone 8 (A1905) 4993\n",
- "Name: handset_type, dtype: int64"
- ]
- },
- "execution_count": 27,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "appCount"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 23,
- "metadata": {},
- "outputs": [],
- "source": [
- "sam = df.groupby('handset_manufacturer')['handset_type'].value_counts()['Samsung'].nlargest(5)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 25,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "([0, 1, 2, 3, 4],\n",
- " [Text(0, 0, ''),\n",
- " Text(0, 0, ''),\n",
- " Text(0, 0, ''),\n",
- " Text(0, 0, ''),\n",
- " Text(0, 0, '')])"
- ]
- },
- "execution_count": 25,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": "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",
- "text/plain": [
- ""
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# plot graph for top10\n",
- "plt.figure(figsize=(20,10))\n",
- "plt.bar(sam.index, sam.values)\n",
- "plt.xticks(rotation=0)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 26,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "handset_type\n",
- "Samsung Galaxy S8 (Sm-G950F) 4520\n",
- "Samsung Galaxy A5 Sm-A520F 3724\n",
- "Samsung Galaxy J5 (Sm-J530) 3696\n",
- "Samsung Galaxy J3 (Sm-J330) 3484\n",
- "Samsung Galaxy S7 (Sm-G930X) 3199\n",
- "Name: handset_type, dtype: int64"
- ]
- },
- "execution_count": 26,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "sam"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 28,
- "metadata": {},
- "outputs": [],
- "source": [
- "huawCount = df.groupby('handset_manufacturer')['handset_type'].value_counts()['Huawei'].nlargest(5)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 29,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "([0, 1, 2, 3, 4],\n",
- " [Text(0, 0, ''),\n",
- " Text(0, 0, ''),\n",
- " Text(0, 0, ''),\n",
- " Text(0, 0, ''),\n",
- " Text(0, 0, '')])"
- ]
- },
- "execution_count": 29,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": "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",
+ "image/png": "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",
"text/plain": [
- ""
+ ""
]
},
"metadata": {
@@ -2906,455 +1495,188 @@
}
],
"source": [
- "# plot graph for top10\n",
- "plt.figure(figsize=(15,10))\n",
- "plt.bar(huawCount.index, huawCount.values)\n",
- "plt.xticks(rotation=0)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 31,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "handset_type\n",
- "Huawei B528S-23A 19752\n",
- "Huawei E5180 2079\n",
- "Huawei P20 Lite Huawei Nova 3E 2021\n",
- "Huawei P20 1480\n",
- "Huawei Y6 2018 997\n",
- "Name: handset_type, dtype: int64"
- ]
- },
- "execution_count": 31,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "huawCount"
+ "# plot graph for top 5\n",
+ "pl.plot_bar(new_df, 'Handset', 'count', 'Top 5 handset type of Apple', 'Handset type', 'count')\n",
+ "\n",
+ "# plt.figure(figsize=(15,10))\n",
+ "# plt.bar(appCount.index, appCount.values)\n",
+ "# plt.xticks(rotation=0)"
]
},
{
"cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 20,
+ "execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
- "text/html": [
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " | \n",
- " bearer_id | \n",
- " start | \n",
- " start_ms | \n",
- " end | \n",
- " end_ms | \n",
- " dur._(ms) | \n",
- " imsi | \n",
- " msisdn/number | \n",
- " imei | \n",
- " last_location_name | \n",
- " ... | \n",
- " youtube_dl_(bytes) | \n",
- " youtube_ul_(bytes) | \n",
- " netflix_dl_(bytes) | \n",
- " netflix_ul_(bytes) | \n",
- " gaming_dl_(bytes) | \n",
- " gaming_ul_(bytes) | \n",
- " other_dl_(bytes) | \n",
- " other_ul_(bytes) | \n",
- " total_ul_(bytes) | \n",
- " total_dl_(bytes) | \n",
- " \n",
- " \n",
- " \n",
- " \n",
- " | 0 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-04 12:01:18 | \n",
- " 770.0 | \n",
- " 2019-04-25 14:35:31 | \n",
- " 662.0 | \n",
- " 1823652.0 | \n",
- " 2.082014e+14 | \n",
- " 3.366496e+10 | \n",
- " 3.552121e+13 | \n",
- " 9164566995485190 | \n",
- " ... | \n",
- " 15854611.0 | \n",
- " 2501332.0 | \n",
- " 8198936.0 | \n",
- " 9656251.0 | \n",
- " 278082303.0 | \n",
- " 14344150.0 | \n",
- " 171744450.0 | \n",
- " 8814393.0 | \n",
- " 36749741.0 | \n",
- " 308879636.0 | \n",
- " \n",
- " \n",
- " | 1 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-09 13:04:04 | \n",
- " 235.0 | \n",
- " 2019-04-25 08:15:48 | \n",
- " 606.0 | \n",
- " 1365104.0 | \n",
- " 2.082019e+14 | \n",
- " 3.368185e+10 | \n",
- " 3.579401e+13 | \n",
- " L77566A | \n",
- " ... | \n",
- " 20247395.0 | \n",
- " 19111729.0 | \n",
- " 18338413.0 | \n",
- " 17227132.0 | \n",
- " 608750074.0 | \n",
- " 1170709.0 | \n",
- " 526904238.0 | \n",
- " 15055145.0 | \n",
- " 53800391.0 | \n",
- " 653384965.0 | \n",
- " \n",
- " \n",
- " | 2 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-09 17:42:11 | \n",
- " 1.0 | \n",
- " 2019-04-25 11:58:13 | \n",
- " 652.0 | \n",
- " 1361762.0 | \n",
- " 2.082003e+14 | \n",
- " 3.376063e+10 | \n",
- " 3.528151e+13 | \n",
- " D42335A | \n",
- " ... | \n",
- " 19725661.0 | \n",
- " 14699576.0 | \n",
- " 17587794.0 | \n",
- " 6163408.0 | \n",
- " 229584621.0 | \n",
- " 395630.0 | \n",
- " 410692588.0 | \n",
- " 4215763.0 | \n",
- " 27883638.0 | \n",
- " 279807335.0 | \n",
- " \n",
- " \n",
- " | 3 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-10 00:31:25 | \n",
- " 486.0 | \n",
- " 2019-04-25 07:36:35 | \n",
- " 171.0 | \n",
- " 1321509.0 | \n",
- " 2.082014e+14 | \n",
- " 3.375034e+10 | \n",
- " 3.535661e+13 | \n",
- " T21824A | \n",
- " ... | \n",
- " 21388122.0 | \n",
- " 15146643.0 | \n",
- " 13994646.0 | \n",
- " 1097942.0 | \n",
- " 799538153.0 | \n",
- " 10849722.0 | \n",
- " 749039933.0 | \n",
- " 12797283.0 | \n",
- " 43324218.0 | \n",
- " 846028530.0 | \n",
- " \n",
- " \n",
- " | 4 | \n",
- " 1.311448e+19 | \n",
- " 2019-04-12 20:10:23 | \n",
- " 565.0 | \n",
- " 2019-04-25 10:40:32 | \n",
- " 954.0 | \n",
- " 1089009.0 | \n",
- " 2.082014e+14 | \n",
- " 3.369980e+10 | \n",
- " 3.540701e+13 | \n",
- " D88865A | \n",
- " ... | \n",
- " 15259380.0 | \n",
- " 18962873.0 | \n",
- " 17124581.0 | \n",
- " 415218.0 | \n",
- " 527707248.0 | \n",
- " 3529801.0 | \n",
- " 550709500.0 | \n",
- " 13910322.0 | \n",
- " 38542814.0 | \n",
- " 569138589.0 | \n",
- " \n",
- " \n",
- " | ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " ... | \n",
- " \n",
- " \n",
- " | 146502 | \n",
- " 6.917538e+18 | \n",
- " 2019-04-29 06:37:48 | \n",
- " 190.0 | \n",
- " 2019-04-30 06:35:25 | \n",
- " 113.0 | \n",
- " 86256.0 | \n",
- " 2.082017e+14 | \n",
- " 3.362780e+10 | \n",
- " 3.580641e+13 | \n",
- " 1.53279754942007e+17 | \n",
- " ... | \n",
- " 18769404.0 | \n",
- " 16631317.0 | \n",
- " 4053973.0 | \n",
- " 9798790.0 | \n",
- " 472572987.0 | \n",
- " 10232347.0 | \n",
- " 584285400.0 | \n",
- " 9587988.0 | \n",
- " 50786686.0 | \n",
- " 505948004.0 | \n",
- " \n",
- " \n",
- " | 146563 | \n",
- " 6.917538e+18 | \n",
- " 2019-04-29 06:38:57 | \n",
- " 833.0 | \n",
- " 2019-04-30 06:31:17 | \n",
- " 180.0 | \n",
- " 85939.0 | \n",
- " 2.082017e+14 | \n",
- " 3.365878e+10 | \n",
- " 8.605790e+13 | \n",
- " W29699C | \n",
- " ... | \n",
- " 22881373.0 | \n",
- " 1965970.0 | \n",
- " 11007290.0 | \n",
- " 3677646.0 | \n",
- " 831007951.0 | \n",
- " 14172973.0 | \n",
- " 569001470.0 | \n",
- " 9698928.0 | \n",
- " 30809376.0 | \n",
- " 869235464.0 | \n",
- " \n",
- " \n",
- " | 146569 | \n",
- " 7.277826e+18 | \n",
- " 2019-04-29 06:39:08 | \n",
- " 20.0 | \n",
- " 2019-04-30 05:27:12 | \n",
- " 242.0 | \n",
- " 82084.0 | \n",
- " 2.082014e+14 | \n",
- " 3.366269e+10 | \n",
- " 3.519721e+13 | \n",
- " 9164566984613630 | \n",
- " ... | \n",
- " 2386640.0 | \n",
- " 9001604.0 | \n",
- " 333228.0 | \n",
- " 21806608.0 | \n",
- " 155718762.0 | \n",
- " 15713190.0 | \n",
- " 253246802.0 | \n",
- " 6950780.0 | \n",
- " 56885973.0 | \n",
- " 168264095.0 | \n",
- " \n",
- " \n",
- " | 147799 | \n",
- " 1.304243e+19 | \n",
- " 2019-04-29 07:01:16 | \n",
- " 447.0 | \n",
- " 2019-04-30 00:25:52 | \n",
- " 650.0 | \n",
- " 62676.0 | \n",
- " 2.082018e+14 | \n",
- " 3.366310e+10 | \n",
- " 3.597061e+13 | \n",
- " D40458A | \n",
- " ... | \n",
- " 11528691.0 | \n",
- " 15459181.0 | \n",
- " 20577501.0 | \n",
- " 9340340.0 | \n",
- " 249539081.0 | \n",
- " 4790588.0 | \n",
- " 562472315.0 | \n",
- " 13245936.0 | \n",
- " 45445880.0 | \n",
- " 287318206.0 | \n",
- " \n",
- " \n",
- " | 149860 | \n",
- " 6.917538e+18 | \n",
- " 2019-04-29 07:27:24 | \n",
- " 328.0 | \n",
- " 2019-04-30 07:29:16 | \n",
- " 168.0 | \n",
- " 86511.0 | \n",
- " 2.082015e+14 | \n",
- " 3.364183e+10 | \n",
- " 3.573591e+13 | \n",
- " U76788A | \n",
- " ... | \n",
- " 21248657.0 | \n",
- " 9602863.0 | \n",
- " 22685472.0 | \n",
- " 6962075.0 | \n",
- " 736414952.0 | \n",
- " 12746292.0 | \n",
- " 433857078.0 | \n",
- " 14695146.0 | \n",
- " 44860103.0 | \n",
- " 789293959.0 | \n",
- " \n",
- " \n",
- " \n",
- " 559 rows × 45 columns \n",
- " \n",
" | 3.366371e+10 | \n",
- " 4.875453e+11 | \n",
- " 4.441826e+10 | \n",
+ " 871.532016 | \n",
+ " 850.924563 | \n",
" \n",
" \n",
- " | 3.361489e+10 | \n",
- " 8.156743e+09 | \n",
- " 6.894830e+08 | \n",
+ " 3.362632e+10 | \n",
+ " 14.549725 | \n",
+ " 13.786199 | \n",
" \n",
" \n",
- " | 3.376054e+10 | \n",
- " 7.811295e+09 | \n",
- " 7.034786e+08 | \n",
+ " 3.361489e+10 | \n",
+ " 14.119849 | \n",
+ " 13.358777 | \n",
" \n",
" \n",
" | 3.362578e+10 | \n",
- " 7.770043e+09 | \n",
- " 7.295774e+08 | \n",
+ " 14.080649 | \n",
+ " 13.758728 | \n",
" \n",
" \n",
- " | 3.367588e+10 | \n",
- " 7.309542e+09 | \n",
- " 5.815688e+08 | \n",
+ " 3.365973e+10 | \n",
+ " 12.667924 | \n",
+ " 12.471681 | \n",
" \n",
" \n",
- " | 3.362632e+10 | \n",
- " 7.301517e+09 | \n",
- " 6.696507e+08 | \n",
+ " 3.367588e+10 | \n",
+ " 12.624149 | \n",
+ " 11.596695 | \n",
" \n",
" \n",
- " | 3.365973e+10 | \n",
- " 7.081602e+09 | \n",
- " 6.242603e+08 | \n",
+ " 3.376054e+10 | \n",
+ " 12.563986 | \n",
+ " 12.598300 | \n",
" \n",
" \n",
- " | 3.366646e+10 | \n",
- " 6.903440e+09 | \n",
- " 4.050610e+08 | \n",
+ " 3.376041e+10 | \n",
+ " 10.340968 | \n",
+ " 9.788511 | \n",
" \n",
" \n",
- " | 3.376041e+10 | \n",
- " 6.610852e+09 | \n",
- " 5.215189e+08 | \n",
+ " 3.366716e+10 | \n",
+ " 10.153094 | \n",
+ " 10.513863 | \n",
" \n",
" \n",
- " | 3.366471e+10 | \n",
- " 6.400774e+09 | \n",
- " 4.712445e+08 | \n",
+ " 3.366646e+10 | \n",
+ " 9.976448 | \n",
+ " 8.420426 | \n",
" \n",
" \n",
"\n",
@@ -3520,19 +1842,19 @@
"text/plain": [
" total_dl_(bytes) total_ul_(bytes)\n",
"msisdn/number \n",
- "3.366371e+10 4.875453e+11 4.441826e+10\n",
- "3.361489e+10 8.156743e+09 6.894830e+08\n",
- "3.376054e+10 7.811295e+09 7.034786e+08\n",
- "3.362578e+10 7.770043e+09 7.295774e+08\n",
- "3.367588e+10 7.309542e+09 5.815688e+08\n",
- "3.362632e+10 7.301517e+09 6.696507e+08\n",
- "3.365973e+10 7.081602e+09 6.242603e+08\n",
- "3.366646e+10 6.903440e+09 4.050610e+08\n",
- "3.376041e+10 6.610852e+09 5.215189e+08\n",
- "3.366471e+10 6.400774e+09 4.712445e+08"
+ "3.366371e+10 871.532016 850.924563\n",
+ "3.362632e+10 14.549725 13.786199\n",
+ "3.361489e+10 14.119849 13.358777\n",
+ "3.362578e+10 14.080649 13.758728\n",
+ "3.365973e+10 12.667924 12.471681\n",
+ "3.367588e+10 12.624149 11.596695\n",
+ "3.376054e+10 12.563986 12.598300\n",
+ "3.376041e+10 10.340968 9.788511\n",
+ "3.366716e+10 10.153094 10.513863\n",
+ "3.366646e+10 9.976448 8.420426"
]
},
- "execution_count": 50,
+ "execution_count": 49,
"metadata": {},
"output_type": "execute_result"
}
@@ -3544,7 +1866,7 @@
},
{
"cell_type": "code",
- "execution_count": 52,
+ "execution_count": 50,
"metadata": {},
"outputs": [
{
@@ -3580,53 +1902,53 @@
" \n",
" \n",
" | 3.366371e+10 | \n",
- " 4.875453e+11 | \n",
- " 4.441826e+10 | \n",
+ " 871.532016 | \n",
+ " 850.924563 | \n",
" \n",
" \n",
- " | 3.362578e+10 | \n",
- " 7.770043e+09 | \n",
- " 7.295774e+08 | \n",
+ " 3.362632e+10 | \n",
+ " 14.549725 | \n",
+ " 13.786199 | \n",
" \n",
" \n",
- " | 3.376054e+10 | \n",
- " 7.811295e+09 | \n",
- " 7.034786e+08 | \n",
+ " 3.362578e+10 | \n",
+ " 14.080649 | \n",
+ " 13.758728 | \n",
" \n",
" \n",
" | 3.361489e+10 | \n",
- " 8.156743e+09 | \n",
- " 6.894830e+08 | \n",
+ " 14.119849 | \n",
+ " 13.358777 | \n",
" \n",
" \n",
- " | 3.362632e+10 | \n",
- " 7.301517e+09 | \n",
- " 6.696507e+08 | \n",
+ " 3.376054e+10 | \n",
+ " 12.563986 | \n",
+ " 12.598300 | \n",
" \n",
" \n",
" | 3.365973e+10 | \n",
- " 7.081602e+09 | \n",
- " 6.242603e+08 | \n",
+ " 12.667924 | \n",
+ " 12.471681 | \n",
" \n",
" \n",
" | 3.367588e+10 | \n",
- " 7.309542e+09 | \n",
- " 5.815688e+08 | \n",
+ " 12.624149 | \n",
+ " 11.596695 | \n",
" \n",
" \n",
" | 3.366716e+10 | \n",
- " 5.052068e+09 | \n",
- " 5.663264e+08 | \n",
+ " 10.153094 | \n",
+ " 10.513863 | \n",
" \n",
" \n",
- " | 3.369879e+10 | \n",
- " 6.010556e+09 | \n",
- " 5.303431e+08 | \n",
+ " 3.376041e+10 | \n",
+ " 10.340968 | \n",
+ " 9.788511 | \n",
" \n",
" \n",
- " | 3.376041e+10 | \n",
- " 6.610852e+09 | \n",
- " 5.215189e+08 | \n",
+ " 3.378632e+10 | \n",
+ " 9.644376 | \n",
+ " 9.375862 | \n",
" \n",
" \n",
"\n",
@@ -3635,19 +1957,19 @@
"text/plain": [
" total_dl_(bytes) total_ul_(bytes)\n",
"msisdn/number \n",
- "3.366371e+10 4.875453e+11 4.441826e+10\n",
- "3.362578e+10 7.770043e+09 7.295774e+08\n",
- "3.376054e+10 7.811295e+09 7.034786e+08\n",
- "3.361489e+10 8.156743e+09 6.894830e+08\n",
- "3.362632e+10 7.301517e+09 6.696507e+08\n",
- "3.365973e+10 7.081602e+09 6.242603e+08\n",
- "3.367588e+10 7.309542e+09 5.815688e+08\n",
- "3.366716e+10 5.052068e+09 5.663264e+08\n",
- "3.369879e+10 6.010556e+09 5.303431e+08\n",
- "3.376041e+10 6.610852e+09 5.215189e+08"
+ "3.366371e+10 871.532016 850.924563\n",
+ "3.362632e+10 14.549725 13.786199\n",
+ "3.362578e+10 14.080649 13.758728\n",
+ "3.361489e+10 14.119849 13.358777\n",
+ "3.376054e+10 12.563986 12.598300\n",
+ "3.365973e+10 12.667924 12.471681\n",
+ "3.367588e+10 12.624149 11.596695\n",
+ "3.366716e+10 10.153094 10.513863\n",
+ "3.376041e+10 10.340968 9.788511\n",
+ "3.378632e+10 9.644376 9.375862"
]
},
- "execution_count": 52,
+ "execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
@@ -3659,7 +1981,7 @@
},
{
"cell_type": "code",
- "execution_count": 46,
+ "execution_count": 51,
"metadata": {},
"outputs": [],
"source": [
@@ -3675,7 +1997,7 @@
},
{
"cell_type": "code",
- "execution_count": 53,
+ "execution_count": 52,
"metadata": {},
"outputs": [
{
@@ -3721,257 +2043,257 @@
" \n",
" \n",
" | 3.366371e+10 | \n",
- " 1.974199e+09 | \n",
- " 8.250702e+09 | \n",
- " 2.403622e+09 | \n",
- " 2.435073e+10 | \n",
- " 4.616346e+11 | \n",
- " 4.516521e+11 | \n",
- " 5.319636e+11 | \n",
- " \n",
- " \n",
- " | 3.361489e+10 | \n",
- " 2.829454e+07 | \n",
- " 1.279738e+08 | \n",
- " 4.078863e+07 | \n",
- " 3.943702e+08 | \n",
- " 7.749432e+09 | \n",
- " 7.639264e+09 | \n",
- " 8.846226e+09 | \n",
+ " 11799.485900 | \n",
+ " 1961.566656 | \n",
+ " 1965.681459 | \n",
+ " 1970.431043 | \n",
+ " 1964.374391 | \n",
+ " 1958.803099 | \n",
+ " 1722.456579 | \n",
" \n",
" \n",
- " | 3.376054e+10 | \n",
- " 3.978319e+07 | \n",
- " 1.232231e+08 | \n",
- " 3.369377e+07 | \n",
- " 3.962892e+08 | \n",
- " 7.461045e+09 | \n",
- " 4.716134e+09 | \n",
- " 8.514774e+09 | \n",
+ " 3.362632e+10 | \n",
+ " 198.215265 | \n",
+ " 33.081689 | \n",
+ " 33.271028 | \n",
+ " 32.871771 | \n",
+ " 33.163459 | \n",
+ " 33.146157 | \n",
+ " 28.335924 | \n",
" \n",
" \n",
" | 3.362578e+10 | \n",
- " 2.713550e+07 | \n",
- " 1.423079e+08 | \n",
- " 4.063397e+07 | \n",
- " 4.529588e+08 | \n",
- " 7.326673e+09 | \n",
- " 6.354583e+09 | \n",
- " 8.499621e+09 | \n",
+ " 186.260784 | \n",
+ " 31.240450 | \n",
+ " 31.543640 | \n",
+ " 32.180911 | \n",
+ " 31.648295 | \n",
+ " 31.455805 | \n",
+ " 27.839376 | \n",
" \n",
" \n",
- " | 3.362632e+10 | \n",
- " 4.337478e+07 | \n",
- " 1.521919e+08 | \n",
- " 4.241878e+07 | \n",
- " 3.744830e+08 | \n",
- " 6.887572e+09 | \n",
- " 8.167878e+09 | \n",
- " 7.971167e+09 | \n",
+ " 3.361489e+10 | \n",
+ " 189.513730 | \n",
+ " 30.837854 | \n",
+ " 31.682405 | \n",
+ " 31.637364 | \n",
+ " 31.279496 | \n",
+ " 30.960579 | \n",
+ " 27.478626 | \n",
" \n",
" \n",
- " | 3.367588e+10 | \n",
- " 1.922292e+07 | \n",
- " 1.098605e+08 | \n",
- " 3.151442e+07 | \n",
- " 3.174106e+08 | \n",
- " 6.970568e+09 | \n",
- " 6.798515e+09 | \n",
- " 7.891111e+09 | \n",
+ " 3.376054e+10 | \n",
+ " 161.515524 | \n",
+ " 27.801567 | \n",
+ " 27.813994 | \n",
+ " 27.867910 | \n",
+ " 28.124151 | \n",
+ " 26.633111 | \n",
+ " 25.162286 | \n",
" \n",
" \n",
" | 3.365973e+10 | \n",
- " 3.541236e+07 | \n",
- " 1.165163e+08 | \n",
- " 3.599979e+07 | \n",
- " 2.579911e+08 | \n",
- " 6.725559e+09 | \n",
- " 6.317415e+09 | \n",
- " 7.705863e+09 | \n",
+ " 178.744675 | \n",
+ " 28.798592 | \n",
+ " 28.747095 | \n",
+ " 28.855927 | \n",
+ " 29.162047 | \n",
+ " 29.082457 | \n",
+ " 25.139605 | \n",
" \n",
" \n",
- " | 3.366646e+10 | \n",
- " 1.862999e+07 | \n",
- " 8.932074e+07 | \n",
- " 2.555714e+07 | \n",
- " 2.273360e+08 | \n",
- " 6.646303e+09 | \n",
- " 4.349141e+09 | \n",
- " 7.308501e+09 | \n",
+ " 3.367588e+10 | \n",
+ " 165.181127 | \n",
+ " 26.848767 | \n",
+ " 27.188154 | \n",
+ " 27.429203 | \n",
+ " 27.405374 | \n",
+ " 28.058608 | \n",
+ " 24.220844 | \n",
" \n",
" \n",
- " | 3.376041e+10 | \n",
- " 2.077720e+07 | \n",
- " 8.273872e+07 | \n",
- " 2.557696e+07 | \n",
- " 3.031691e+08 | \n",
- " 6.268620e+09 | \n",
- " 4.101645e+09 | \n",
- " 7.132371e+09 | \n",
+ " 3.366716e+10 | \n",
+ " 146.123721 | \n",
+ " 24.079428 | \n",
+ " 24.038916 | \n",
+ " 24.003094 | \n",
+ " 23.473835 | \n",
+ " 23.517789 | \n",
+ " 20.666957 | \n",
" \n",
" \n",
- " | 3.366471e+10 | \n",
- " 1.939060e+07 | \n",
- " 9.038937e+07 | \n",
- " 2.142601e+07 | \n",
- " 2.768340e+08 | \n",
- " 6.103856e+09 | \n",
- " 3.976960e+09 | \n",
- " 6.872018e+09 | \n",
+ " 3.376041e+10 | \n",
+ " 124.652370 | \n",
+ " 21.957881 | \n",
+ " 21.680592 | \n",
+ " 22.234531 | \n",
+ " 22.591910 | \n",
+ " 21.869924 | \n",
+ " 20.129479 | \n",
" \n",
" \n",
" | 3.369879e+10 | \n",
- " 1.572816e+07 | \n",
- " 7.973612e+07 | \n",
- " 2.905904e+07 | \n",
- " 3.026620e+08 | \n",
- " 5.753743e+09 | \n",
- " 4.689876e+09 | \n",
- " 6.540899e+09 | \n",
+ " 122.263241 | \n",
+ " 19.739463 | \n",
+ " 20.637242 | \n",
+ " 20.843719 | \n",
+ " 21.060021 | \n",
+ " 19.621051 | \n",
+ " 19.062580 | \n",
" \n",
" \n",
- " | 3.365836e+10 | \n",
- " 1.728576e+07 | \n",
- " 7.650714e+07 | \n",
- " 1.968205e+07 | \n",
- " 2.609898e+08 | \n",
- " 5.705920e+09 | \n",
- " 5.013651e+09 | \n",
- " 6.452398e+09 | \n",
- " \n",
- " \n",
- " | 3.369876e+10 | \n",
- " 1.549625e+07 | \n",
- " 9.193515e+07 | \n",
- " 2.843971e+07 | \n",
- " 2.514221e+08 | \n",
- " 5.118380e+09 | \n",
- " 4.532624e+09 | \n",
- " 5.872263e+09 | \n",
+ " 3.378632e+10 | \n",
+ " 134.847592 | \n",
+ " 22.581235 | \n",
+ " 22.576271 | \n",
+ " 21.411174 | \n",
+ " 22.308441 | \n",
+ " 21.452735 | \n",
+ " 19.020238 | \n",
" \n",
" \n",
" | 3.362708e+10 | \n",
- " 1.780891e+07 | \n",
- " 8.712592e+07 | \n",
- " 2.356722e+07 | \n",
- " 3.087908e+08 | \n",
- " 4.972353e+09 | \n",
- " 5.117791e+09 | \n",
- " 5.754731e+09 | \n",
+ " 132.387067 | \n",
+ " 22.177653 | \n",
+ " 21.853097 | \n",
+ " 22.352433 | \n",
+ " 21.836435 | \n",
+ " 21.963441 | \n",
+ " 18.821780 | \n",
" \n",
" \n",
- " | 3.366469e+10 | \n",
- " 1.718504e+07 | \n",
- " 7.358311e+07 | \n",
- " 1.757962e+07 | \n",
- " 2.053678e+08 | \n",
- " 5.008820e+09 | \n",
- " 4.960858e+09 | \n",
- " 5.682007e+09 | \n",
+ " 3.360313e+10 | \n",
+ " 129.477816 | \n",
+ " 21.496331 | \n",
+ " 22.387782 | \n",
+ " 22.398022 | \n",
+ " 21.782982 | \n",
+ " 22.300060 | \n",
+ " 18.511593 | \n",
" \n",
" \n",
- " | 3.365826e+10 | \n",
- " 2.169574e+07 | \n",
- " 8.737319e+07 | \n",
- " 2.665522e+07 | \n",
- " 2.648381e+08 | \n",
- " 5.002890e+09 | \n",
- " 4.105688e+09 | \n",
- " 5.675207e+09 | \n",
+ " 3.366471e+10 | \n",
+ " 121.811940 | \n",
+ " 20.286491 | \n",
+ " 19.729082 | \n",
+ " 20.291307 | \n",
+ " 20.656319 | \n",
+ " 20.090916 | \n",
+ " 18.445904 | \n",
" \n",
" \n",
- " | 3.366514e+10 | \n",
- " 1.584970e+07 | \n",
- " 6.449794e+07 | \n",
- " 1.824266e+07 | \n",
- " 2.013458e+08 | \n",
- " 5.087873e+09 | \n",
- " 2.891011e+09 | \n",
- " 5.632981e+09 | \n",
+ " 3.366646e+10 | \n",
+ " 124.109625 | \n",
+ " 19.968517 | \n",
+ " 20.673575 | \n",
+ " 19.907942 | \n",
+ " 20.699651 | \n",
+ " 19.943327 | \n",
+ " 18.396874 | \n",
" \n",
" \n",
- " | 3.378632e+10 | \n",
- " 2.397492e+07 | \n",
- " 1.102545e+08 | \n",
- " 3.631012e+07 | \n",
- " 2.147639e+08 | \n",
- " 4.851096e+09 | \n",
- " 4.252487e+09 | \n",
- " 5.622232e+09 | \n",
+ " 3.360452e+10 | \n",
+ " 129.672632 | \n",
+ " 21.850220 | \n",
+ " 21.740112 | \n",
+ " 20.703529 | \n",
+ " 21.610788 | \n",
+ " 21.476537 | \n",
+ " 18.009005 | \n",
" \n",
" \n",
- " | 3.366716e+10 | \n",
- " 2.424785e+07 | \n",
- " 1.050327e+08 | \n",
- " 3.033580e+07 | \n",
- " 3.152313e+08 | \n",
- " 4.725622e+09 | \n",
- " 4.941519e+09 | \n",
- " 5.618394e+09 | \n",
+ " 3.365836e+10 | \n",
+ " 115.129844 | \n",
+ " 18.155190 | \n",
+ " 16.680870 | \n",
+ " 18.887723 | \n",
+ " 18.993392 | \n",
+ " 18.899797 | \n",
+ " 17.530278 | \n",
" \n",
" \n",
- " | 3.361923e+10 | \n",
- " 1.210315e+07 | \n",
- " 5.611926e+07 | \n",
- " 1.705700e+07 | \n",
- " 1.657636e+08 | \n",
- " 4.997332e+09 | \n",
- " 3.525314e+09 | \n",
- " 5.512406e+09 | \n",
+ " 3.369876e+10 | \n",
+ " 112.836722 | \n",
+ " 18.887856 | \n",
+ " 18.969621 | \n",
+ " 18.763390 | \n",
+ " 18.767995 | \n",
+ " 18.162702 | \n",
+ " 17.020063 | \n",
+ " \n",
+ " \n",
+ " | 3.376127e+10 | \n",
+ " 109.600234 | \n",
+ " 18.933378 | \n",
+ " 18.097387 | \n",
+ " 18.905057 | \n",
+ " 18.861501 | \n",
+ " 18.637528 | \n",
+ " 16.780164 | \n",
+ " \n",
+ " \n",
+ " | 3.366907e+10 | \n",
+ " 119.638723 | \n",
+ " 19.717907 | \n",
+ " 20.272835 | \n",
+ " 20.243877 | \n",
+ " 20.165549 | \n",
+ " 19.628279 | \n",
+ " 16.720828 | \n",
" \n",
" \n",
"\n",
""
],
"text/plain": [
- " social_media google email youtube \\\n",
- "msisdn/number \n",
- "3.366371e+10 1.974199e+09 8.250702e+09 2.403622e+09 2.435073e+10 \n",
- "3.361489e+10 2.829454e+07 1.279738e+08 4.078863e+07 3.943702e+08 \n",
- "3.376054e+10 3.978319e+07 1.232231e+08 3.369377e+07 3.962892e+08 \n",
- "3.362578e+10 2.713550e+07 1.423079e+08 4.063397e+07 4.529588e+08 \n",
- "3.362632e+10 4.337478e+07 1.521919e+08 4.241878e+07 3.744830e+08 \n",
- "3.367588e+10 1.922292e+07 1.098605e+08 3.151442e+07 3.174106e+08 \n",
- "3.365973e+10 3.541236e+07 1.165163e+08 3.599979e+07 2.579911e+08 \n",
- "3.366646e+10 1.862999e+07 8.932074e+07 2.555714e+07 2.273360e+08 \n",
- "3.376041e+10 2.077720e+07 8.273872e+07 2.557696e+07 3.031691e+08 \n",
- "3.366471e+10 1.939060e+07 9.038937e+07 2.142601e+07 2.768340e+08 \n",
- "3.369879e+10 1.572816e+07 7.973612e+07 2.905904e+07 3.026620e+08 \n",
- "3.365836e+10 1.728576e+07 7.650714e+07 1.968205e+07 2.609898e+08 \n",
- "3.369876e+10 1.549625e+07 9.193515e+07 2.843971e+07 2.514221e+08 \n",
- "3.362708e+10 1.780891e+07 8.712592e+07 2.356722e+07 3.087908e+08 \n",
- "3.366469e+10 1.718504e+07 7.358311e+07 1.757962e+07 2.053678e+08 \n",
- "3.365826e+10 2.169574e+07 8.737319e+07 2.665522e+07 2.648381e+08 \n",
- "3.366514e+10 1.584970e+07 6.449794e+07 1.824266e+07 2.013458e+08 \n",
- "3.378632e+10 2.397492e+07 1.102545e+08 3.631012e+07 2.147639e+08 \n",
- "3.366716e+10 2.424785e+07 1.050327e+08 3.033580e+07 3.152313e+08 \n",
- "3.361923e+10 1.210315e+07 5.611926e+07 1.705700e+07 1.657636e+08 \n",
+ " social_media google email youtube \\\n",
+ "msisdn/number \n",
+ "3.366371e+10 11799.485900 1961.566656 1965.681459 1970.431043 \n",
+ "3.362632e+10 198.215265 33.081689 33.271028 32.871771 \n",
+ "3.362578e+10 186.260784 31.240450 31.543640 32.180911 \n",
+ "3.361489e+10 189.513730 30.837854 31.682405 31.637364 \n",
+ "3.376054e+10 161.515524 27.801567 27.813994 27.867910 \n",
+ "3.365973e+10 178.744675 28.798592 28.747095 28.855927 \n",
+ "3.367588e+10 165.181127 26.848767 27.188154 27.429203 \n",
+ "3.366716e+10 146.123721 24.079428 24.038916 24.003094 \n",
+ "3.376041e+10 124.652370 21.957881 21.680592 22.234531 \n",
+ "3.369879e+10 122.263241 19.739463 20.637242 20.843719 \n",
+ "3.378632e+10 134.847592 22.581235 22.576271 21.411174 \n",
+ "3.362708e+10 132.387067 22.177653 21.853097 22.352433 \n",
+ "3.360313e+10 129.477816 21.496331 22.387782 22.398022 \n",
+ "3.366471e+10 121.811940 20.286491 19.729082 20.291307 \n",
+ "3.366646e+10 124.109625 19.968517 20.673575 19.907942 \n",
+ "3.360452e+10 129.672632 21.850220 21.740112 20.703529 \n",
+ "3.365836e+10 115.129844 18.155190 16.680870 18.887723 \n",
+ "3.369876e+10 112.836722 18.887856 18.969621 18.763390 \n",
+ "3.376127e+10 109.600234 18.933378 18.097387 18.905057 \n",
+ "3.366907e+10 119.638723 19.717907 20.272835 20.243877 \n",
"\n",
- " gaming other total_data \n",
- "msisdn/number \n",
- "3.366371e+10 4.616346e+11 4.516521e+11 5.319636e+11 \n",
- "3.361489e+10 7.749432e+09 7.639264e+09 8.846226e+09 \n",
- "3.376054e+10 7.461045e+09 4.716134e+09 8.514774e+09 \n",
- "3.362578e+10 7.326673e+09 6.354583e+09 8.499621e+09 \n",
- "3.362632e+10 6.887572e+09 8.167878e+09 7.971167e+09 \n",
- "3.367588e+10 6.970568e+09 6.798515e+09 7.891111e+09 \n",
- "3.365973e+10 6.725559e+09 6.317415e+09 7.705863e+09 \n",
- "3.366646e+10 6.646303e+09 4.349141e+09 7.308501e+09 \n",
- "3.376041e+10 6.268620e+09 4.101645e+09 7.132371e+09 \n",
- "3.366471e+10 6.103856e+09 3.976960e+09 6.872018e+09 \n",
- "3.369879e+10 5.753743e+09 4.689876e+09 6.540899e+09 \n",
- "3.365836e+10 5.705920e+09 5.013651e+09 6.452398e+09 \n",
- "3.369876e+10 5.118380e+09 4.532624e+09 5.872263e+09 \n",
- "3.362708e+10 4.972353e+09 5.117791e+09 5.754731e+09 \n",
- "3.366469e+10 5.008820e+09 4.960858e+09 5.682007e+09 \n",
- "3.365826e+10 5.002890e+09 4.105688e+09 5.675207e+09 \n",
- "3.366514e+10 5.087873e+09 2.891011e+09 5.632981e+09 \n",
- "3.378632e+10 4.851096e+09 4.252487e+09 5.622232e+09 \n",
- "3.366716e+10 4.725622e+09 4.941519e+09 5.618394e+09 \n",
- "3.361923e+10 4.997332e+09 3.525314e+09 5.512406e+09 "
+ " gaming other total_data \n",
+ "msisdn/number \n",
+ "3.366371e+10 1964.374391 1958.803099 1722.456579 \n",
+ "3.362632e+10 33.163459 33.146157 28.335924 \n",
+ "3.362578e+10 31.648295 31.455805 27.839376 \n",
+ "3.361489e+10 31.279496 30.960579 27.478626 \n",
+ "3.376054e+10 28.124151 26.633111 25.162286 \n",
+ "3.365973e+10 29.162047 29.082457 25.139605 \n",
+ "3.367588e+10 27.405374 28.058608 24.220844 \n",
+ "3.366716e+10 23.473835 23.517789 20.666957 \n",
+ "3.376041e+10 22.591910 21.869924 20.129479 \n",
+ "3.369879e+10 21.060021 19.621051 19.062580 \n",
+ "3.378632e+10 22.308441 21.452735 19.020238 \n",
+ "3.362708e+10 21.836435 21.963441 18.821780 \n",
+ "3.360313e+10 21.782982 22.300060 18.511593 \n",
+ "3.366471e+10 20.656319 20.090916 18.445904 \n",
+ "3.366646e+10 20.699651 19.943327 18.396874 \n",
+ "3.360452e+10 21.610788 21.476537 18.009005 \n",
+ "3.365836e+10 18.993392 18.899797 17.530278 \n",
+ "3.369876e+10 18.767995 18.162702 17.020063 \n",
+ "3.376127e+10 18.861501 18.637528 16.780164 \n",
+ "3.366907e+10 20.165549 19.628279 16.720828 "
]
},
- "execution_count": 53,
+ "execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
@@ -3980,6 +2302,25 @@
"df.groupby('msisdn/number')[['social_media', 'google', 'email', 'youtube', 'gaming', 'other', 'total_data']].sum().nlargest(20, 'total_data')"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": 54,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The autoreload extension is already loaded. To reload it, use:\n",
+ " %reload_ext autoreload\n"
+ ]
+ }
+ ],
+ "source": [
+ "%load_ext autoreload\n",
+ "%autoreload 2\n"
+ ]
+ },
{
"cell_type": "code",
"execution_count": null,
@@ -3987,6 +2328,15 @@
"outputs": [],
"source": []
},
+ {
+ "cell_type": "code",
+ "execution_count": 56,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pl.plot_heatmap(df, 'Corrlation between variables')"
+ ]
+ },
{
"cell_type": "code",
"execution_count": null,
@@ -4003,47 +2353,58 @@
},
{
"cell_type": "code",
- "execution_count": 29,
+ "execution_count": 110,
"metadata": {},
"outputs": [
+ {
+ "ename": "KeyboardInterrupt",
+ "evalue": "",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
+ "\u001b[1;32m/home/jedi/Documents/Tenacademy/Week1/Telecom-Analysis/notebooks/userOverview.ipynb Cell 71'\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[39m# TODO\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m sns\u001b[39m.\u001b[39;49mpairplot(df)\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/seaborn/_decorators.py:46\u001b[0m, in \u001b[0;36m_deprecate_positional_args..inner_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 36\u001b[0m warnings\u001b[39m.\u001b[39mwarn(\n\u001b[1;32m 37\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mPass the following variable\u001b[39m\u001b[39m{}\u001b[39;00m\u001b[39m as \u001b[39m\u001b[39m{}\u001b[39;00m\u001b[39mkeyword arg\u001b[39m\u001b[39m{}\u001b[39;00m\u001b[39m: \u001b[39m\u001b[39m{}\u001b[39;00m\u001b[39m. \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 38\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mFrom version 0.12, the only valid positional argument \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 43\u001b[0m \u001b[39mFutureWarning\u001b[39;00m\n\u001b[1;32m 44\u001b[0m )\n\u001b[1;32m 45\u001b[0m kwargs\u001b[39m.\u001b[39mupdate({k: arg \u001b[39mfor\u001b[39;00m k, arg \u001b[39min\u001b[39;00m \u001b[39mzip\u001b[39m(sig\u001b[39m.\u001b[39mparameters, args)})\n\u001b[0;32m---> 46\u001b[0m \u001b[39mreturn\u001b[39;00m f(\u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/seaborn/axisgrid.py:2096\u001b[0m, in \u001b[0;36mpairplot\u001b[0;34m(data, hue, hue_order, palette, vars, x_vars, y_vars, kind, diag_kind, markers, height, aspect, corner, dropna, plot_kws, diag_kws, grid_kws, size)\u001b[0m\n\u001b[1;32m 2094\u001b[0m \u001b[39m# Set up the PairGrid\u001b[39;00m\n\u001b[1;32m 2095\u001b[0m grid_kws\u001b[39m.\u001b[39msetdefault(\u001b[39m\"\u001b[39m\u001b[39mdiag_sharey\u001b[39m\u001b[39m\"\u001b[39m, diag_kind \u001b[39m==\u001b[39m \u001b[39m\"\u001b[39m\u001b[39mhist\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m-> 2096\u001b[0m grid \u001b[39m=\u001b[39m PairGrid(data, \u001b[39mvars\u001b[39;49m\u001b[39m=\u001b[39;49m\u001b[39mvars\u001b[39;49m, x_vars\u001b[39m=\u001b[39;49mx_vars, y_vars\u001b[39m=\u001b[39;49my_vars, hue\u001b[39m=\u001b[39;49mhue,\n\u001b[1;32m 2097\u001b[0m hue_order\u001b[39m=\u001b[39;49mhue_order, palette\u001b[39m=\u001b[39;49mpalette, corner\u001b[39m=\u001b[39;49mcorner,\n\u001b[1;32m 2098\u001b[0m height\u001b[39m=\u001b[39;49mheight, aspect\u001b[39m=\u001b[39;49maspect, dropna\u001b[39m=\u001b[39;49mdropna, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mgrid_kws)\n\u001b[1;32m 2100\u001b[0m \u001b[39m# Add the markers here as PairGrid has figured out how many levels of the\u001b[39;00m\n\u001b[1;32m 2101\u001b[0m \u001b[39m# hue variable are needed and we don't want to duplicate that process\u001b[39;00m\n\u001b[1;32m 2102\u001b[0m \u001b[39mif\u001b[39;00m markers \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/seaborn/_decorators.py:46\u001b[0m, in \u001b[0;36m_deprecate_positional_args..inner_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 36\u001b[0m warnings\u001b[39m.\u001b[39mwarn(\n\u001b[1;32m 37\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mPass the following variable\u001b[39m\u001b[39m{}\u001b[39;00m\u001b[39m as \u001b[39m\u001b[39m{}\u001b[39;00m\u001b[39mkeyword arg\u001b[39m\u001b[39m{}\u001b[39;00m\u001b[39m: \u001b[39m\u001b[39m{}\u001b[39;00m\u001b[39m. \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 38\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mFrom version 0.12, the only valid positional argument \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 43\u001b[0m \u001b[39mFutureWarning\u001b[39;00m\n\u001b[1;32m 44\u001b[0m )\n\u001b[1;32m 45\u001b[0m kwargs\u001b[39m.\u001b[39mupdate({k: arg \u001b[39mfor\u001b[39;00m k, arg \u001b[39min\u001b[39;00m \u001b[39mzip\u001b[39m(sig\u001b[39m.\u001b[39mparameters, args)})\n\u001b[0;32m---> 46\u001b[0m \u001b[39mreturn\u001b[39;00m f(\u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/seaborn/axisgrid.py:1244\u001b[0m, in \u001b[0;36mPairGrid.__init__\u001b[0;34m(self, data, hue, hue_order, palette, hue_kws, vars, x_vars, y_vars, corner, diag_sharey, height, aspect, layout_pad, despine, dropna, size)\u001b[0m\n\u001b[1;32m 1241\u001b[0m \u001b[39mwith\u001b[39;00m mpl\u001b[39m.\u001b[39mrc_context({\u001b[39m\"\u001b[39m\u001b[39mfigure.autolayout\u001b[39m\u001b[39m\"\u001b[39m: \u001b[39mFalse\u001b[39;00m}):\n\u001b[1;32m 1242\u001b[0m fig \u001b[39m=\u001b[39m plt\u001b[39m.\u001b[39mfigure(figsize\u001b[39m=\u001b[39mfigsize)\n\u001b[0;32m-> 1244\u001b[0m axes \u001b[39m=\u001b[39m fig\u001b[39m.\u001b[39;49msubplots(\u001b[39mlen\u001b[39;49m(y_vars), \u001b[39mlen\u001b[39;49m(x_vars),\n\u001b[1;32m 1245\u001b[0m sharex\u001b[39m=\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39mcol\u001b[39;49m\u001b[39m\"\u001b[39;49m, sharey\u001b[39m=\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39mrow\u001b[39;49m\u001b[39m\"\u001b[39;49m,\n\u001b[1;32m 1246\u001b[0m squeeze\u001b[39m=\u001b[39;49m\u001b[39mFalse\u001b[39;49;00m)\n\u001b[1;32m 1248\u001b[0m \u001b[39m# Possibly remove upper axes to make a corner grid\u001b[39;00m\n\u001b[1;32m 1249\u001b[0m \u001b[39m# Note: setting up the axes is usually the most time-intensive part\u001b[39;00m\n\u001b[1;32m 1250\u001b[0m \u001b[39m# of using the PairGrid. We are foregoing the speed improvement that\u001b[39;00m\n\u001b[1;32m 1251\u001b[0m \u001b[39m# we would get by just not setting up the hidden axes so that we can\u001b[39;00m\n\u001b[1;32m 1252\u001b[0m \u001b[39m# avoid implementing fig.subplots ourselves. But worth thinking about.\u001b[39;00m\n\u001b[1;32m 1253\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_corner \u001b[39m=\u001b[39m corner\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/matplotlib/_api/deprecation.py:471\u001b[0m, in \u001b[0;36mmake_keyword_only..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 465\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(args) \u001b[39m>\u001b[39m idx:\n\u001b[1;32m 466\u001b[0m warn_deprecated(\n\u001b[1;32m 467\u001b[0m since, message\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mPassing the \u001b[39m\u001b[39m%(name)s\u001b[39;00m\u001b[39m \u001b[39m\u001b[39m%(obj_type)s\u001b[39;00m\u001b[39m \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 468\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mpositionally is deprecated since Matplotlib \u001b[39m\u001b[39m%(since)s\u001b[39;00m\u001b[39m; the \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 469\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mparameter will become keyword-only \u001b[39m\u001b[39m%(removal)s\u001b[39;00m\u001b[39m.\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m 470\u001b[0m name\u001b[39m=\u001b[39mname, obj_type\u001b[39m=\u001b[39m\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mparameter of \u001b[39m\u001b[39m{\u001b[39;00mfunc\u001b[39m.\u001b[39m\u001b[39m__name__\u001b[39m\u001b[39m}\u001b[39;00m\u001b[39m()\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m--> 471\u001b[0m \u001b[39mreturn\u001b[39;00m func(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/matplotlib/figure.py:911\u001b[0m, in \u001b[0;36mFigureBase.subplots\u001b[0;34m(self, nrows, ncols, sharex, sharey, squeeze, subplot_kw, gridspec_kw)\u001b[0m\n\u001b[1;32m 909\u001b[0m gridspec_kw \u001b[39m=\u001b[39m {}\n\u001b[1;32m 910\u001b[0m gs \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39madd_gridspec(nrows, ncols, figure\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mgridspec_kw)\n\u001b[0;32m--> 911\u001b[0m axs \u001b[39m=\u001b[39m gs\u001b[39m.\u001b[39;49msubplots(sharex\u001b[39m=\u001b[39;49msharex, sharey\u001b[39m=\u001b[39;49msharey, squeeze\u001b[39m=\u001b[39;49msqueeze,\n\u001b[1;32m 912\u001b[0m subplot_kw\u001b[39m=\u001b[39;49msubplot_kw)\n\u001b[1;32m 913\u001b[0m \u001b[39mreturn\u001b[39;00m axs\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/matplotlib/gridspec.py:307\u001b[0m, in \u001b[0;36mGridSpecBase.subplots\u001b[0;34m(self, sharex, sharey, squeeze, subplot_kw)\u001b[0m\n\u001b[1;32m 305\u001b[0m subplot_kw[\u001b[39m\"\u001b[39m\u001b[39msharex\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m shared_with[sharex]\n\u001b[1;32m 306\u001b[0m subplot_kw[\u001b[39m\"\u001b[39m\u001b[39msharey\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m=\u001b[39m shared_with[sharey]\n\u001b[0;32m--> 307\u001b[0m axarr[row, col] \u001b[39m=\u001b[39m figure\u001b[39m.\u001b[39;49madd_subplot(\n\u001b[1;32m 308\u001b[0m \u001b[39mself\u001b[39;49m[row, col], \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49msubplot_kw)\n\u001b[1;32m 310\u001b[0m \u001b[39m# turn off redundant tick labeling\u001b[39;00m\n\u001b[1;32m 311\u001b[0m \u001b[39mif\u001b[39;00m sharex \u001b[39min\u001b[39;00m [\u001b[39m\"\u001b[39m\u001b[39mcol\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mall\u001b[39m\u001b[39m\"\u001b[39m]:\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/matplotlib/figure.py:784\u001b[0m, in \u001b[0;36mFigureBase.add_subplot\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 781\u001b[0m args \u001b[39m=\u001b[39m \u001b[39mtuple\u001b[39m(\u001b[39mmap\u001b[39m(\u001b[39mint\u001b[39m, \u001b[39mstr\u001b[39m(args[\u001b[39m0\u001b[39m])))\n\u001b[1;32m 782\u001b[0m projection_class, pkw \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_process_projection_requirements(\n\u001b[1;32m 783\u001b[0m \u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n\u001b[0;32m--> 784\u001b[0m ax \u001b[39m=\u001b[39m subplot_class_factory(projection_class)(\u001b[39mself\u001b[39;49m, \u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mpkw)\n\u001b[1;32m 785\u001b[0m key \u001b[39m=\u001b[39m (projection_class, pkw)\n\u001b[1;32m 786\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_add_axes_internal(ax, key)\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/matplotlib/axes/_subplots.py:36\u001b[0m, in \u001b[0;36mSubplotBase.__init__\u001b[0;34m(self, fig, *args, **kwargs)\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 18\u001b[0m \u001b[39mParameters\u001b[39;00m\n\u001b[1;32m 19\u001b[0m \u001b[39m----------\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 33\u001b[0m \u001b[39m Keyword arguments are passed to the Axes (sub)class constructor.\u001b[39;00m\n\u001b[1;32m 34\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 35\u001b[0m \u001b[39m# _axes_class is set in the subplot_class_factory\u001b[39;00m\n\u001b[0;32m---> 36\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_axes_class\u001b[39m.\u001b[39;49m\u001b[39m__init__\u001b[39;49m(\u001b[39mself\u001b[39;49m, fig, [\u001b[39m0\u001b[39;49m, \u001b[39m0\u001b[39;49m, \u001b[39m1\u001b[39;49m, \u001b[39m1\u001b[39;49m], \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n\u001b[1;32m 37\u001b[0m \u001b[39m# This will also update the axes position.\u001b[39;00m\n\u001b[1;32m 38\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mset_subplotspec(SubplotSpec\u001b[39m.\u001b[39m_from_subplot_args(fig, args))\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/matplotlib/_api/deprecation.py:471\u001b[0m, in \u001b[0;36mmake_keyword_only..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 465\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mlen\u001b[39m(args) \u001b[39m>\u001b[39m idx:\n\u001b[1;32m 466\u001b[0m warn_deprecated(\n\u001b[1;32m 467\u001b[0m since, message\u001b[39m=\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mPassing the \u001b[39m\u001b[39m%(name)s\u001b[39;00m\u001b[39m \u001b[39m\u001b[39m%(obj_type)s\u001b[39;00m\u001b[39m \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 468\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mpositionally is deprecated since Matplotlib \u001b[39m\u001b[39m%(since)s\u001b[39;00m\u001b[39m; the \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 469\u001b[0m \u001b[39m\"\u001b[39m\u001b[39mparameter will become keyword-only \u001b[39m\u001b[39m%(removal)s\u001b[39;00m\u001b[39m.\u001b[39m\u001b[39m\"\u001b[39m,\n\u001b[1;32m 470\u001b[0m name\u001b[39m=\u001b[39mname, obj_type\u001b[39m=\u001b[39m\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mparameter of \u001b[39m\u001b[39m{\u001b[39;00mfunc\u001b[39m.\u001b[39m\u001b[39m__name__\u001b[39m\u001b[39m}\u001b[39;00m\u001b[39m()\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[0;32m--> 471\u001b[0m \u001b[39mreturn\u001b[39;00m func(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/matplotlib/axes/_base.py:634\u001b[0m, in \u001b[0;36m_AxesBase.__init__\u001b[0;34m(self, fig, rect, facecolor, frameon, sharex, sharey, label, xscale, yscale, box_aspect, **kwargs)\u001b[0m\n\u001b[1;32m 631\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mset_axisbelow(mpl\u001b[39m.\u001b[39mrcParams[\u001b[39m'\u001b[39m\u001b[39maxes.axisbelow\u001b[39m\u001b[39m'\u001b[39m])\n\u001b[1;32m 633\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_rasterization_zorder \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m--> 634\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcla()\n\u001b[1;32m 636\u001b[0m \u001b[39m# funcs used to format x and y - fall back on major formatters\u001b[39;00m\n\u001b[1;32m 637\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mfmt_xdata \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/matplotlib/axes/_base.py:1297\u001b[0m, in \u001b[0;36m_AxesBase.cla\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1294\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mset_axis_on()\n\u001b[1;32m 1296\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mxaxis\u001b[39m.\u001b[39mset_clip_path(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mpatch)\n\u001b[0;32m-> 1297\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49myaxis\u001b[39m.\u001b[39;49mset_clip_path(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mpatch)\n\u001b[1;32m 1299\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_shared_x_axes\u001b[39m.\u001b[39mclean()\n\u001b[1;32m 1300\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_shared_y_axes\u001b[39m.\u001b[39mclean()\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/matplotlib/axis.py:919\u001b[0m, in \u001b[0;36mAxis.set_clip_path\u001b[0;34m(self, clippath, transform)\u001b[0m\n\u001b[1;32m 917\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mset_clip_path\u001b[39m(\u001b[39mself\u001b[39m, clippath, transform\u001b[39m=\u001b[39m\u001b[39mNone\u001b[39;00m):\n\u001b[1;32m 918\u001b[0m \u001b[39msuper\u001b[39m()\u001b[39m.\u001b[39mset_clip_path(clippath, transform)\n\u001b[0;32m--> 919\u001b[0m \u001b[39mfor\u001b[39;00m child \u001b[39min\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmajorTicks \u001b[39m+\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mminorTicks:\n\u001b[1;32m 920\u001b[0m child\u001b[39m.\u001b[39mset_clip_path(clippath, transform)\n\u001b[1;32m 921\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mstale \u001b[39m=\u001b[39m \u001b[39mTrue\u001b[39;00m\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/matplotlib/axis.py:612\u001b[0m, in \u001b[0;36m_LazyTickList.__get__\u001b[0;34m(self, instance, cls)\u001b[0m\n\u001b[1;32m 610\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 611\u001b[0m instance\u001b[39m.\u001b[39mminorTicks \u001b[39m=\u001b[39m []\n\u001b[0;32m--> 612\u001b[0m tick \u001b[39m=\u001b[39m instance\u001b[39m.\u001b[39;49m_get_tick(major\u001b[39m=\u001b[39;49m\u001b[39mFalse\u001b[39;49;00m)\n\u001b[1;32m 613\u001b[0m instance\u001b[39m.\u001b[39mminorTicks\u001b[39m.\u001b[39mappend(tick)\n\u001b[1;32m 614\u001b[0m \u001b[39mreturn\u001b[39;00m instance\u001b[39m.\u001b[39mminorTicks\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/matplotlib/axis.py:2332\u001b[0m, in \u001b[0;36mYAxis._get_tick\u001b[0;34m(self, major)\u001b[0m\n\u001b[1;32m 2330\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m 2331\u001b[0m tick_kw \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_minor_tick_kw\n\u001b[0;32m-> 2332\u001b[0m \u001b[39mreturn\u001b[39;00m YTick(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49maxes, \u001b[39m0\u001b[39;49m, major\u001b[39m=\u001b[39;49mmajor, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mtick_kw)\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/matplotlib/axis.py:510\u001b[0m, in \u001b[0;36mYTick.__init__\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 505\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mlabel1\u001b[39m.\u001b[39mset(\n\u001b[1;32m 506\u001b[0m x\u001b[39m=\u001b[39m\u001b[39m0\u001b[39m, y\u001b[39m=\u001b[39m\u001b[39m0\u001b[39m,\n\u001b[1;32m 507\u001b[0m verticalalignment\u001b[39m=\u001b[39mva, horizontalalignment\u001b[39m=\u001b[39mha, transform\u001b[39m=\u001b[39mtrans,\n\u001b[1;32m 508\u001b[0m )\n\u001b[1;32m 509\u001b[0m trans, va, ha \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_get_text2_transform()\n\u001b[0;32m--> 510\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mlabel2\u001b[39m.\u001b[39;49mset(\n\u001b[1;32m 511\u001b[0m x\u001b[39m=\u001b[39;49m\u001b[39m1\u001b[39;49m, y\u001b[39m=\u001b[39;49m\u001b[39m0\u001b[39;49m,\n\u001b[1;32m 512\u001b[0m verticalalignment\u001b[39m=\u001b[39;49mva, horizontalalignment\u001b[39m=\u001b[39;49mha, transform\u001b[39m=\u001b[39;49mtrans,\n\u001b[1;32m 513\u001b[0m )\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/matplotlib/artist.py:1179\u001b[0m, in \u001b[0;36mArtist.set\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m 1177\u001b[0m \u001b[39mif\u001b[39;00m move_color_to_start:\n\u001b[1;32m 1178\u001b[0m kwargs \u001b[39m=\u001b[39m {\u001b[39m\"\u001b[39m\u001b[39mcolor\u001b[39m\u001b[39m\"\u001b[39m: kwargs\u001b[39m.\u001b[39mpop(\u001b[39m\"\u001b[39m\u001b[39mcolor\u001b[39m\u001b[39m\"\u001b[39m), \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs}\n\u001b[0;32m-> 1179\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mupdate(kwargs)\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/matplotlib/text.py:184\u001b[0m, in \u001b[0;36mText.update\u001b[0;34m(self, kwargs)\u001b[0m\n\u001b[1;32m 182\u001b[0m \u001b[39m# Update bbox last, as it depends on font properties.\u001b[39;00m\n\u001b[1;32m 183\u001b[0m bbox \u001b[39m=\u001b[39m kwargs\u001b[39m.\u001b[39mpop(\u001b[39m\"\u001b[39m\u001b[39mbbox\u001b[39m\u001b[39m\"\u001b[39m, sentinel)\n\u001b[0;32m--> 184\u001b[0m \u001b[39msuper\u001b[39;49m()\u001b[39m.\u001b[39;49mupdate(kwargs)\n\u001b[1;32m 185\u001b[0m \u001b[39mif\u001b[39;00m bbox \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m sentinel:\n\u001b[1;32m 186\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mset_bbox(bbox)\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/matplotlib/artist.py:1064\u001b[0m, in \u001b[0;36mArtist.update\u001b[0;34m(self, props)\u001b[0m\n\u001b[1;32m 1061\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m callable(func):\n\u001b[1;32m 1062\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mAttributeError\u001b[39;00m(\u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m{\u001b[39;00m\u001b[39mtype\u001b[39m(\u001b[39mself\u001b[39m)\u001b[39m.\u001b[39m\u001b[39m__name__\u001b[39m\u001b[39m!r}\u001b[39;00m\u001b[39m object \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 1063\u001b[0m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mhas no property \u001b[39m\u001b[39m{\u001b[39;00mk\u001b[39m!r}\u001b[39;00m\u001b[39m\"\u001b[39m)\n\u001b[0;32m-> 1064\u001b[0m ret\u001b[39m.\u001b[39mappend(func(v))\n\u001b[1;32m 1065\u001b[0m \u001b[39mif\u001b[39;00m ret:\n\u001b[1;32m 1066\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mpchanged()\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/matplotlib/artist.py:387\u001b[0m, in \u001b[0;36mArtist.set_transform\u001b[0;34m(self, t)\u001b[0m\n\u001b[1;32m 385\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_transform \u001b[39m=\u001b[39m t\n\u001b[1;32m 386\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_transformSet \u001b[39m=\u001b[39m \u001b[39mTrue\u001b[39;00m\n\u001b[0;32m--> 387\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mpchanged()\n\u001b[1;32m 388\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mstale \u001b[39m=\u001b[39m \u001b[39mTrue\u001b[39;00m\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/matplotlib/artist.py:367\u001b[0m, in \u001b[0;36mArtist.pchanged\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 356\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mpchanged\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[1;32m 357\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 358\u001b[0m \u001b[39m Call all of the registered callbacks.\u001b[39;00m\n\u001b[1;32m 359\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 365\u001b[0m \u001b[39m remove_callback\u001b[39;00m\n\u001b[1;32m 366\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 367\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_callbacks\u001b[39m.\u001b[39;49mprocess(\u001b[39m\"\u001b[39;49m\u001b[39mpchanged\u001b[39;49m\u001b[39m\"\u001b[39;49m)\n",
+ "File \u001b[0;32m~/anaconda3/lib/python3.9/site-packages/matplotlib/cbook/__init__.py:259\u001b[0m, in \u001b[0;36mCallbackRegistry.process\u001b[0;34m(self, s, *args, **kwargs)\u001b[0m\n\u001b[1;32m 256\u001b[0m \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mcallbacks[signal]\n\u001b[1;32m 257\u001b[0m \u001b[39mdel\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_func_cid_map[signal]\n\u001b[0;32m--> 259\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mprocess\u001b[39m(\u001b[39mself\u001b[39m, s, \u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs):\n\u001b[1;32m 260\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m 261\u001b[0m \u001b[39m Process signal *s*.\u001b[39;00m\n\u001b[1;32m 262\u001b[0m \n\u001b[1;32m 263\u001b[0m \u001b[39m All of the functions registered to receive callbacks on *s* will be\u001b[39;00m\n\u001b[1;32m 264\u001b[0m \u001b[39m called with ``*args`` and ``**kwargs``.\u001b[39;00m\n\u001b[1;32m 265\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[1;32m 266\u001b[0m \u001b[39mfor\u001b[39;00m cid, ref \u001b[39min\u001b[39;00m \u001b[39mlist\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mcallbacks\u001b[39m.\u001b[39mget(s, {})\u001b[39m.\u001b[39mitems()):\n",
+ "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+ ]
+ },
{
"data": {
+ "image/png": "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",
"text/plain": [
- "Index(['bearer_id', 'start', 'start_ms', 'end', 'end_ms', 'dur._(ms)', 'imsi',\n",
- " 'msisdn/number', 'imei', 'last_location_name', 'avg_rtt_dl_(ms)',\n",
- " 'avg_rtt_ul_(ms)', 'avg_bearer_tp_dl_(kbps)', 'avg_bearer_tp_ul_(kbps)',\n",
- " 'dl_tp_<_50_kbps_(%)', '50_kbps_<_dl_tp_<_250_kbps_(%)',\n",
- " '250_kbps_<_dl_tp_<_1_mbps_(%)', 'dl_tp_>_1_mbps_(%)',\n",
- " 'ul_tp_<_10_kbps_(%)', '10_kbps_<_ul_tp_<_50_kbps_(%)',\n",
- " '50_kbps_<_ul_tp_<_300_kbps_(%)', 'ul_tp_>_300_kbps_(%)',\n",
- " 'activity_duration_dl_(ms)', 'activity_duration_ul_(ms)', 'dur._(ms).1',\n",
- " 'handset_manufacturer', 'handset_type', 'nb_of_sec_with_vol_dl_<_6250b',\n",
- " 'nb_of_sec_with_vol_ul_<_1250b', 'social_media_dl_(bytes)',\n",
- " 'social_media_ul_(bytes)', 'google_dl_(bytes)', 'google_ul_(bytes)',\n",
- " 'email_dl_(bytes)', 'email_ul_(bytes)', 'youtube_dl_(bytes)',\n",
- " 'youtube_ul_(bytes)', 'netflix_dl_(bytes)', 'netflix_ul_(bytes)',\n",
- " 'gaming_dl_(bytes)', 'gaming_ul_(bytes)', 'other_dl_(bytes)',\n",
- " 'other_ul_(bytes)', 'total_ul_(bytes)', 'total_dl_(bytes)'],\n",
- " dtype='object')"
+ ""
]
},
- "execution_count": 29,
- "metadata": {},
- "output_type": "execute_result"
+ "metadata": {
+ "needs_background": "light"
+ },
+ "output_type": "display_data"
}
],
- "source": [
- "df.columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {},
- "outputs": [],
"source": [
"# TODO\n",
- "sns.pairplot(df)"
+ "# sns.pairplot(df)"
]
}
],
diff --git a/scripts/outlier.py b/scripts/outlier.py
index 3dda038..25f10d1 100644
--- a/scripts/outlier.py
+++ b/scripts/outlier.py
@@ -30,33 +30,32 @@ def handle_outliers(self, df: pd.DataFrame, cols):
# Computing 10th, 90th percentiles and replacing the outliers
df[col] = [np.log(x) for x in df[col]]
- def calculate_num_outliers_zscore(self, df, cols):
+ return df
+
+ def calculate_num_outliers_zscore(self, col):
"""Return the number of outliers for each numerical col.
Args:
- df (pd.DataFrame): a dataframe to be analyzed
+ col (pd.DataFrame): a dataframe to be analyzed
"""
# calculate skewness
-
- outliersTot = {}
- for col in cols:
- outliers = []
- # def detect_outliers_zscore(data):
- thres = 3
- mean = np.mean(df[col])
- std = np.std(df[col])
- # print(mean, std)
- for i in df[col]:
- z_score = (i-mean)/std
- if (np.abs(z_score) > thres):
- outliers.append(i)
- outliers[col] = len(outliers)
- return outliersTot # Driver code
+ outliers = []
+
+ thres = 3
+ mean = np.mean(col)
+ std = np.std(col)
+ # print(mean, std)
+ for i in col:
+ z_score = (i-mean)/std
+ if (np.abs(z_score) > thres):
+ outliers.append(i)
+ return outliers # Driver code
# sample_outliers = detect_outliers_zscore(
# df['nb_of_sec_with_vol_ul_<_1250b'])
# print("Outliers from Z-scores method: ", len(sample_outliers))
+
def calculate_num_outliers_iqr(self, df, cols):
"""Return the number of outliers for each col.
diff --git a/scripts/overview.py b/scripts/overview.py
index 57d99ae..588adf2 100644
--- a/scripts/overview.py
+++ b/scripts/overview.py
@@ -35,7 +35,16 @@ def percent_missing(self, df: pd.DataFrame):
print("The telecom dataset contains", round(
((totalMissing/totalCells) * 100), 2), "%", "missing values.")
- return df
+ # return df
+
+ def number_of_duplicates(self, df):
+ """Return the number of duplicates in the dataset.
+
+ Args:
+ df (pd.DataFrame): Dataset to be analyzed
+ """
+ duplicated_entries = df[df.duplicated()]
+ print(duplicated_entries.shape)
def get_skewness(self, df):
"""Return the skewness of the dataset.
diff --git a/scripts/plot.py b/scripts/plot.py
new file mode 100644
index 0000000..e2e50b7
--- /dev/null
+++ b/scripts/plot.py
@@ -0,0 +1,105 @@
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+
+class Plot:
+ def plot_hist(self, df: pd.DataFrame, column: str, color: str) -> None:
+ """Plot the hist of the column.
+
+ Args:
+ df (pd.DataFrame): Dataframe to be plotted.
+ column (str): column to be plotted.
+ color (str): color of the histogram.
+ """
+ # plt.figure(figsize=(15, 10))
+ # fig, ax = plt.subplots(1, figsize=(12, 7))
+ sns.displot(data=df, x=column, color=color,
+ kde=True, height=7, aspect=2)
+ plt.title(f'Distribution of {column}', size=20, fontweight='bold')
+ plt.show()
+
+ def plot_count(self, df: pd.DataFrame, column: str) -> None:
+ """Plot the count of the column.
+
+ Args:
+ df (pd.DataFrame): Dataframe to be plotted.
+ column (str): column to be plotted.
+ """
+ plt.figure(figsize=(12, 7))
+ sns.countplot(data=df, x=column)
+ plt.title(f'Distribution of {column}', size=20, fontweight='bold')
+ plt.show()
+
+ def plot_bar(self, df: pd.DataFrame, x_col: str, y_col: str, title: str, xlabel: str, ylabel: str) -> None:
+ """Plot bar of the column.
+
+ Args:
+ df (pd.DataFrame): Dataframe to be plotted.
+ x_col (str): column to be plotted.
+ """
+ plt.figure(figsize=(12, 7))
+ sns.barplot(data=df, x=x_col, y=y_col)
+ plt.title(title, size=20)
+ plt.xticks(rotation=75, fontsize=14)
+ plt.yticks(fontsize=14)
+ plt.xlabel(xlabel, fontsize=16)
+ plt.ylabel(ylabel, fontsize=16)
+ plt.show()
+
+ def plot_heatmap(self, df: pd.DataFrame, title: str, cbar=False) -> None:
+ """Plot Heat map of the dataset.
+
+ Args:
+ df (pd.DataFrame): Dataframe to be plotted.
+ title (str): title of chart.
+ """
+ num_cols = df.select_dtypes(include=np.number).columns
+ plt.figure(figsize=(12, 7))
+ sns.heatmap(df[num_cols], annot=True, cmap='viridis', vmin=0,
+ vmax=1, fmt='.2f', linewidths=.7, cbar=cbar)
+ plt.title(title, size=18, fontweight='bold')
+ plt.show()
+
+ def plot_box(self, df: pd.DataFrame, x_col: str, title: str) -> None:
+ """Plot box chart of the column.
+
+ Args:
+ df (pd.DataFrame): Dataframe to be plotted.
+ x_col (str): column to be plotted.
+ title (str): title of chart.
+ """
+ plt.figure(figsize=(12, 7))
+ sns.boxplot(data=df, x=x_col)
+ plt.title(title, size=20)
+ plt.xticks(rotation=75, fontsize=14)
+ plt.show()
+
+ def plot_box_multi(self, df: pd.DataFrame, x_col: str, y_col: str, title: str) -> None:
+ """Plot the box chart for multiple column.
+
+ Args:
+ df (pd.DataFrame): Dataframe to be plotted.
+ column (str): column to be plotted.
+ """
+ plt.figure(figsize=(12, 7))
+ sns.boxplot(data=df, x=x_col, y=y_col)
+ plt.title(title, size=20)
+ plt.xticks(rotation=75, fontsize=14)
+ plt.yticks(fontsize=14)
+ plt.show()
+
+ def plot_scatter(self, df: pd.DataFrame, x_col: str, y_col: str, title: str, hue: str, style: str) -> None:
+ """Plot Scatter chart of the data.
+
+ Args:
+ df (pd.DataFrame): Dataframe to be plotted.
+ column (str): column to be plotted.
+ """
+ plt.figure(figsize=(12, 7))
+ sns.scatterplot(data=df, x=x_col, y=y_col, hue=hue, style=style)
+ plt.title(title, size=20)
+ plt.xticks(fontsize=14)
+ plt.yticks(fontsize=14)
+ plt.show()
| | |