This follows up on the four dimensions in two dimensions post. I updated the graph adding some functionality, increasing the readability and improving the aesthetics. Moreover, the plot can now transition from a visualization with two categorical variables to one with four. The principle guiding the creation of the graph remains the same: to display as much information as possible into a two-dimensional graph without sacrificing interpretability and maintaining (hopefully) pleasing aesthetics. Because of the addition of the transition effect, I thought it was like adding a new dimension to the four which already existed. Below I describe the implementation of these additions. The graph is made in d3.js and the final plot can be admired here.
Streamgraphs are very pretty!
Streamgraphs are a very catchy way to represent stacked area graphs. Streamgraphs are most commonly used to represent time series data. I encountered streamgraphs for the first time during a coursera data visualization class and I immediately wanted to try to reproduce them. Continue reading “Streamgraph visualization of global warming”