D3: `bubble.nodes` not applying correct graphical data to dataset
javascript,json,d3.js,bubble-chart
You are missing a value accessor function for your data: var bubble = d3.layout.pack() .sort(null) .value(function(d){ return d.frequency; //<-- frequency is your accessor }) .size([diameter, diameter]); Of course, you also need to append some visual element (like circles) instead of just empty groups. Here's an example....
R Create a Spatial Bubble Plot That Overlays A basemap of the US and other spatial layers as needed
r,plot,ggplot2,ggmap,bubble-chart
This may be helpful. I approached your question using my own way. This may be a simpler operation to achieve what you are probably trying to do. For maps, GADM is great. But, some packages already got maps. Here, you can easily get the States map in the following way....
unable to change symbol in nvd3 bubble chart
d3.js,symbol,nvd3.js,scatter-plot,bubble-chart
Just add the below code before you call d3.select('#chart svg') //We want to show shapes other than circles. chart.scatter.onlyCircles(false); Hope it helps....
Colors in dc.js charts not linked with each other
You should be able to set the same color scale for all the charts, as long as the keys (country names) are the same across charts. EDIT: because of the limitations below, probably the best approach is to use a custom reduce function that produces an object or tuple. Something...
How can I get proportional bubble sizes from R bubbleGoogleMaps?
The author of the plotGoogleMaps package solved my problem. He confirmed that bubbleGoogleMaps works with bins indeed. For augmenting the number of bins to 20 we need to set key.entries to key.entries= quantile([email protected][, 'zinc'], (1:20)/20) or for unique values key.entries= unique(sort(meuse$zinc)) This is what I originally wanted. However, the legend...
Add colour based distinction to R bubble charts
I would plot it like this. Note that size now has no color associated with it, since this "domain" has been taken over by fill = popIndex. crime$popIndex <- crime$population/max(crime$population) ggplot(crime, aes(x=murder, y=burglary, label=state))+ geom_point(aes(size=population, fill = popIndex), shape=21)+ scale_size_area(max_size = 22)+ scale_x_continuous(name="Murders per 1,000 population", limits=c(0,12))+ scale_y_continuous(name="Burglaries per 1,000...
Create bubble chart with biggest bubble at the center
This should do, the main idea being that you sort by the value of the radius, so the first is the biggest, then shift the values around it (odd on one side, even on the other) so that the values are decreasing both ways. Further explanations in the code. library(plotrix)...
d3 bubble chart with fisheye
Changing the attributes doesn't update the graphics automatically. You need to redraw the svg using the new fisheyed attributes. Here is your updated fiddle. svg.on("mousemove", function () { fisheye.focus(d3.mouse(this)); node.each(function (d) { d.fisheye = fisheye(d); }); node.selectAll("circle") .attr("cx", function(d) { return d.fisheye.x - d.x; }) .attr("cy", function(d) { return d.fisheye.y...
Creating a legend for a bubble chart using D3
To create a legend, you can filter your data according to whether they have d.children or not. var legend_data = nodes.filter(function(d,i){ d.original_index = i; return d.children; }); Notice that I kept the index in the original data set d.original_index for color attribute later. Second, as shown in the [example] you...
How to make a bubble chart from CSV file?
javascript,php,csv,google-visualization,bubble-chart
The following example demonstrates how to parse csv file content: function prepareChartData(data) { var items = []; var lines = data.split(/\r\n|\n/); lines.forEach(function(line,i){ if(line.length > 0){ var item = line.split(','); if(i > 0){ item[1] = parseFloat(item[1]); item[2] = parseFloat(item[2]); item[3] = parseInt(item[3]); } items.push(item); } }); return items; } Result [...
How to arrange matplotlib scatterplot surface data?
python,matplotlib,scatter-plot,bubble-chart
Your plot command was wrong; you need to specify x and y for each point you want to plot , so 4 values for both x and y. See the docs for more info (specifically about the shape of x and y) import matplotlib.pyplot as plt x = [1, 2,1,2]...
is it possible to tweak the d3 bubble chart to obtain the bubbles at scattered positions instead of a circle pack?
Sure, just don't use the layout and set each circles cx and cy yourself: svg.selectAll('circle') .data(data) .enter() .append('circle') .attr('r', function(d){ return d.r; }) .attr('cx', function(d){ return d.x; }) .attr('cy', function(d){ return d.y; }); Example here. EDITS You can arrange the bubbles anyway you want, you are just positioning them in...
How to make a bubble chart with GGally::ggpairs?
You get the last error because qsec is not present in the subset c("mpg", "wt", "disp"). ggpairs(mtcars[ ,c("mpg", "wt", "disp", "qsec")], columns = 1:3, size = "qsec") ...