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.
Streamgraph visualization of global warming
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”