The website I'm building will have content in various languages. I'm looking for a nice way to present the "langages" data, for those interested.
I really like this visualisation : http://www.climateinstitute.org.au/lcci
It is basically a series of sparklines, drawn at decreasing heights. I would use it, for instance, to display the overall number of posts in a language (→ height of the sparkline), and the evolution of this number (→ the sparkline itself).
Is there a chart drawing library that could do something like that ? I don't need it to be "clickable" / zoomable, a static image would be fine.
Check out the SparkLine charts provided in FusionWidgets XT - http://www.fusioncharts.com/demos/gallery/#spark-charts
Related
I know it is possible to create such double pie charts in excel like this:
http://chandoo.org/wp/2009/12/02/group-small-slices-in-pie-charts/
but can SPSS or R do this also?
In relation to R:
The answer to the title question is "yes" ... see ?pie
As for the second question, the one in the body - it would be possible but would involve some coding. You'd have to draw two pie charts side by side (which could be managed with two calls to pie) and use segments or arrows (and text if necessary) to do the additional components of the plot.
Here's a rough example:
That required the fig argument of par to get them side-by-side.
(That example required a little fiddling to get right, but it would be possible to write a function to automate the details.)
The main issue I can see would be 'why on earth would you do it?' -- pie charts are a poor way of conveying information of this form. There are alternatives that result in much better ability to distinguish values, and less bias (such as what you get when comparing nearly horizontal vs nearly vertical slices).
I know it is possible to create such double pie charts in excel like this:
http://chandoo.org/wp/2009/12/02/group-small-slices-in-pie-charts/
but can SPSS or R do this also?
In relation to R:
The answer to the title question is "yes" ... see ?pie
As for the second question, the one in the body - it would be possible but would involve some coding. You'd have to draw two pie charts side by side (which could be managed with two calls to pie) and use segments or arrows (and text if necessary) to do the additional components of the plot.
Here's a rough example:
That required the fig argument of par to get them side-by-side.
(That example required a little fiddling to get right, but it would be possible to write a function to automate the details.)
The main issue I can see would be 'why on earth would you do it?' -- pie charts are a poor way of conveying information of this form. There are alternatives that result in much better ability to distinguish values, and less bias (such as what you get when comparing nearly horizontal vs nearly vertical slices).
Link to sample image with tilting graph:
Link to NVD3 Streamgraph page:
The nvd3 streamgraph will descend or ascend sharply over time. I searched SO and the NVD3 documentation but didn't find a variable that controls where the zero of the y axis is at each point in time. Nor have I found discussions of this. In other words what makes the whole graph tilt in one direction or the other and how to control or turnoff this tilt.
I read a bit of the initial paper on streamgraphs by Byron but couldn't figure it out and thought I'd ask here.
Could someone please point me towards documentation on this or otherwise provide insight?
The NVD3 code for the stacked area chart accepts four possibilities for the chart style: stack, stream, stream-center, and expand. The default stream graph is the "stream" style, and this is the version that gets off-centre if you have any zero values in your data.
If you set the style explicitly to "stream-center", the chart behaves as expected. However, the radio buttons that switch between display styles switch back to the problematic algorithm, so they will need to be disabled.
chart.style('stream-center')
.showControls(false);
It's possible that the existence of this other display algorithm means that the NVD3 folks are working on it. The github issue page might be a good place to look for updates or responses from them:
https://github.com/novus/nvd3/issues/416
I'm getting familiar with Graphviz and wonder if it's doable to generate a diagram/graph like the one below (not sure what you call it). If not, does anyone know what's a good open source framework that does it? (pref, C++, Java or Python).
According to Many Eyes, this is a bubble chart. They say:
It is especially useful for data sets with dozens to hundreds of values, or with values that differ by several orders of magnitude.
...
To see the exact value of a circle on the chart, move your mouse over it. If you are charting more than one dimension, use the menu to choose which dimension to show. If your data set has multiple numeric columns, you can choose which column to base the circle sizes on by using the menu at the bottom of the chart.
Thus, any presentation with a lot of bubbles in it (especially with many small bubbles) would have to be dynamic to respond to the mouse.
My usual practice with bubble charts is to show three or four variables (x, y and another variable through the size of the bubble, and perhaps another variable with the color or shading of the bubble). With animation, you can show development over time too - see GapMinder. FlowingData provides a good example with a tutorial on how to make static bubble charts in R.
In the example shown in the question, though, the bubbles appear to be located somewhat to have similar companies close together. Even then, the exact design criteria are unclear to me. For example, I'd have expected Volkswagen to be closer to General Motors than Pfizer is (if some measure of company similarity is used to place the bubbles), but that isn't so in this diagram.
You could use Graphviz to produce a static version of a bubble chart, but there would be quite a lot of work involved to do so. You would have to preprocess the data to calculate a similarity matrix, obtain edge weights from that matrix, assign colours and sizes to each bubble and then have the preprocessing script write the Graphviz file with all edges hidden and run the Graphviz file through neato to draw it.
I am having trouble determining if you can create a heatmap with DS3 or R that can map onto a list of icons. Specifically wanted to use little people icons like these http://goo.gl/Yt8CG and then show concentrations of activity onto them. I am fairly new to data visualization with DS3.js and R so I might not be doing the right google-fu. Thanks ahead of time if anyone can show me an example or let me know if you CAN do shading on icons not just dynamically generated blocks like http://bl.ocks.org/mbostock/4063318
The basic approach is no different from drawing a normal heatmap (see for example here). The only difference would be that instead of appending rectangles, you append a container for the graphic that you want to use.
Whether you would be able to adjust the shading depends on the graphic itself -- if it's a bitmap you're out of luck. If it's an SVG for example you can simply select the path inside that SVG and set the fill color just like you would for a rectangle in a normal heatmap.