Awesome Strategies to Visualize Change with Time
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This article summarizes effective strategies to visualize temporal changes, illustrated with inspiring graphic examples (with link to source code).
You can find more interesting data visualizations at DataBrewer.co, an excellent platform that shares data analysis and data viz. skills in R and Python.
Use Line Segments to Contrast Two Time Points
The following graph compares 1800 and 2015 regarding human life expectancy, population size, and GDP per capita for each country. The points signify the specific time points of different countries, and the line segments provide a visual trajectory of the change in each country. Additionally, the use of light grey rectangles serves to underscore the distinction between the two time periods.
This graph was originally created by Lisa Charlotte Rost with Datawrapper. Check here to find my R ggplot2 reproduction of this work.
