data-visualization

Are there any frameworks for building squarified treemaps in C# 2.0 WinForms? Something similar to this: (from http://www.codeproject.com/KB/recipes/treemaps.aspx ) Microsoft Research put one together. Don't know how easy it is use. http://research.microsoft.com/en-us/downloads/dda33e92-f0e8-4961-baaa-98160a006c27/default.aspx I know you asked about WinForms, but I'm sure someone will hit this page when searching for WPF tree maps. This currently seems to be the best WPF freebie out there, though I found a few minor issues with it, it's still pretty good: http://treemaps.codeplex.com/ Check

I have a figure that consists of an image displayed by imshow() , a contour and a vector field set by quiver() . I have colored the vector field based on another scalar quantity. On the right of my figure, I have made a colorbar() . This colorbar() represents the values displayed by imshow() (which can be positive and negative in my case). I'd like to know how I could setup another colorbar which would be based on the values of the scalar quantity upon which the color of the vectors is based. Does anyone know how to do that? Here is an example of the image I've been able to make. Notice that

I tried to use "plotly" function but It is not working in my case at all. "ggplot" is working is in a case of 2D but it is giving an error when adding one more axis. How to solve this issue? ggplot(data,aes(x=D1,y=D2,z=D3,color=Sample))+geom_point() How to add one more axis and get the 3D plot in this? Thank You. Since you tagged your question with plotly and said that you've tried to use it with plotly, I think it would be helpful to give you a working code solution in plotly : Creating some data to plot with: set.seed(417) library(plotly) temp <- rnorm(100, mean=30, sd=5) pressure <- rnorm

I want to draw a Sankey diagram using Javascript. Can anyone provide some direction regarding the algorithms or libraries that are available for this? This is a basic Sankey diagram using raphaeljs function Sankey(x0, y0, height, losses) { var initialcolor = Raphael.getColor(); var start = x0 + 200; var level = y0 + height; var heightunit = height / 100; var remaining = 100 * heightunit; function drawloss(start, level, loss) { var thecolor = Raphael.getColor(); paper.path("M" + (start - 100) + "," + (level - loss) + "L" + start + "," + (level - loss)).attr({stroke: thecolor}); paper.path("M" +

Default matplotlib graphs look really unattractive and even unprofessional. I tried out couple of packages include seaborn as well as prettyplotlib but both of these just barely improves the styles. So far I've gotten to following using seaborn package: Below is the appearance I'm looking for which is far cry from above: Notice the following niceness in the 2nd example: Area under the graph is filled with much more eye pleasing color. The graph line is thinker and nicely stands out. Axis lines are thinker and again nicely stands out. Area under the curve is transparent. X-Axis tick marks are

Tufte Sparklines (as illustrated in his Beautiful Evidence ) have been replicated in base graphics as part of YaleToolkit and further perfected as a result of this question . Sparklines have also been done in lattice as a part of my small side project Tufte in R (self-promotion not intended). My goal now is to replicate Tufte sparklines in ggplot2 . There are some scripts floating around on Gist and also as a reply to this question on SO , but none of those give a solid base for making replicable sets of sparklines. Now, I would like those multiple sparklines to look like this (it was done in