diff --git a/plotly/plotlyfig_aux/core/updateData.m b/plotly/plotlyfig_aux/core/updateData.m
index 93cf1200..5b11064e 100644
--- a/plotly/plotlyfig_aux/core/updateData.m
+++ b/plotly/plotlyfig_aux/core/updateData.m
@@ -36,6 +36,8 @@
         switch lower(obj.State.Plot(dataIndex).Class)
 
             %--CORE PLOT OBJECTS--%
+        case 'wordcloud'
+                updateWordcloud(obj, dataIndex);
             case 'heatmap'
                 updateHeatmap(obj, dataIndex);
             case 'image'
diff --git a/plotly/plotlyfig_aux/handlegraphics/updateWordcloud.m b/plotly/plotlyfig_aux/handlegraphics/updateWordcloud.m
new file mode 100644
index 00000000..b4c01be0
--- /dev/null
+++ b/plotly/plotlyfig_aux/handlegraphics/updateWordcloud.m
@@ -0,0 +1,167 @@
+function updateWordcloud(obj,scatterIndex)
+
+%-AXIS INDEX-%
+axIndex = obj.getAxisIndex(obj.State.Plot(scatterIndex).AssociatedAxis);
+
+%-SCATTER DATA STRUCTURE- %
+scatter_data = get(obj.State.Plot(scatterIndex).Handle);
+
+
+%-CHECK FOR MULTIPLE AXES-%
+[xsource, ysource] = findSourceAxis(obj,axIndex);
+
+%-------------------------------------------------------------------------%
+
+%-scatter type-%
+obj.data{scatterIndex}.type = 'scatter';
+
+%-------------------------------------------------------------------------%
+
+%-format the mesh domain-%
+maxx = scatter_data.MaxDisplayWords;
+npoints = round(sqrt(maxx));
+
+if mod(npoints, 2) == 0
+    npoints = npoints+1;
+end
+
+xdomain = linspace(1, maxx, npoints);
+ydomain = linspace(1, maxx*.7, npoints);
+
+[xdata, ydata] = meshgrid(xdomain, ydomain);
+xrand = diff(xdomain(1:2)) * (rand(size(xdata)) - 0.5);
+yrand = diff(ydomain(1:2)) * (rand(size(ydata)) - 0.5);
+xdata = xdata + xrand;
+ydata = ydata + yrand;
+
+%-------------------------------------------------------------------------%
+
+%-make oval effect-%
+inds = (xdata-0.5*xdomain(end)).^2 + (ydata-0.5*ydomain(end)).^2 < (0.5*maxx)^2;
+xdata(~inds) = NaN;
+ydata(~inds) = NaN;
+
+%-------------------------------------------------------------------------%
+
+%-get frequency-%
+[B, inds] = sort(scatter_data.SizeData, 'descend');
+
+%-------------------------------------------------------------------------%
+
+%-take more freq words-%
+nwords = numel(xdata);
+inds = inds(1:nwords);
+
+%-------------------------------------------------------------------------%
+
+%-get indices for distribution-%
+middle = round(nwords*0.5);
+inds = inds(mod([1:nwords] + middle, nwords)+1);
+inds_aux = inds;
+inds1 = round(linspace(1,middle-1, round(middle/2)));
+inds2 = round(linspace(nwords,middle+1, round(middle/2)));
+inds(inds1) = inds_aux(inds2);
+inds(inds2) = inds_aux(inds1);
+
+%-------------------------------------------------------------------------%
+
+%-exchange columns-%
+inds = reshape(inds, size(xdata));
+inds_aux = inds;
+mc = round(0.5*size(inds_aux, 2));
+
+inds(:,mc-2) = inds_aux(:,mc-1);
+inds(:,mc-1) = inds_aux(:,mc-2);
+inds(:,mc+1) = inds_aux(:,mc+2);
+inds(:,mc+2) = inds_aux(:,mc+1);
+inds = inds(:);
+
+%-------------------------------------------------------------------------%
+
+%-get data to wordcloud-%
+
+% sizedata
+sizedata = scatter_data.SizeData(inds);
+
+% worddata
+worddata = cell(nwords,1);
+for w = 1:nwords
+    worddata{w} = char(scatter_data.WordData(inds(w)));
+end
+
+%-------------------------------------------------------------------------%
+
+%-sent data to plotly-%
+obj.data{scatterIndex}.mode = 'text';
+obj.data{scatterIndex}.x = xdata(:);
+obj.data{scatterIndex}.y = ydata(:);
+obj.data{scatterIndex}.text = worddata;
+obj.data{scatterIndex}.textfont.size = sizedata;
+
+%-------------------------------------------------------------------------%
+
+%-coloring-%
+is_colormap = size(scatter_data.Color, 1) > 1;
+col = cell(nwords, 1);
+
+if ~is_colormap
+    for w=1:nwords
+        if B(4) > sizedata(w)
+            col{w} = sprintf('rgb(%f,%f,%f)', scatter_data.Color*255);
+        else
+            col{w} = sprintf('rgb(%f,%f,%f)', scatter_data.HighlightColor*255);
+        end
+    end
+else
+    for w=1:nwords
+        col{w} = sprintf('rgb(%f,%f,%f)', scatter_data.Color(inds(w), :)*255);
+    end
+end
+
+obj.data{scatterIndex}.textfont.color = col;
+
+%-------------------------------------------------------------------------%
+
+%-det font family-%
+obj.data{scatterIndex}.textfont.family = matlab2plotlyfont(scatter_data.FontName);;
+
+%-------------------------------------------------------------------------%
+
+%-scatter visible-%
+obj.data{scatterIndex}.visible = strcmp(scatter_data.Visible,'on');
+
+%-------------------------------------------------------------------------%
+
+%-set layout-%
+xaxis.showgrid = false;
+xaxis.showticklabels = false;
+xaxis.zeroline = false;
+
+yaxis.showgrid = false;
+yaxis.showticklabels = false;
+yaxis.zeroline = false;
+
+xo = scatter_data.Position(1);
+yo = scatter_data.Position(2);
+w = scatter_data.Position(3);
+h = scatter_data.Position(4);
+
+xaxis.domain = min([xo xo + w],1);
+yaxis.domain = min([yo yo + h],1);
+
+obj.layout = setfield(obj.layout, sprintf('xaxis%d',xsource), xaxis);
+obj.layout = setfield(obj.layout, sprintf('yaxis%d',ysource), yaxis);
+
+%-------------------------------------------------------------------------%
+
+obj.layout.annotations{1}.xref = 'paper';
+obj.layout.annotations{1}.yref = 'paper';
+obj.layout.annotations{1}.showarrow = false;
+obj.layout.annotations{1}.text = sprintf('<b>%s</b>', scatter_data.Title);
+obj.layout.annotations{1}.x = mean(xaxis.domain);
+obj.layout.annotations{1}.y = (yaxis.domain(2) + obj.PlotlyDefaults.TitleHeight);
+obj.layout.annotations{1}.font.color = 'rgb(0,0,0)';
+obj.layout.annotations{1}.font.size = 15;
+    
+end
+