Learn to visualize your data like an expert with these practical how-tos for presentation, analysis, and understanding.
Using R, we look at how your decreased interaction with others can help slow the spread of infectious diseases.
Create better population pyramids that allow for improved comparisons between sexes and populations.
Network graphs are a good way to find structure and relationships within hierarchical data. Here are several ways to do it.
The chart type can be used to show patterns over time and relationships between variables. This is a comprehensive introduction to making them using two common libraries.
Layout multiple charts in a single view. Then adjust the scales appropriately for maximum comparability and a unified graphic.
Layering time series data or distributions with this method can change the feel and aesthetic versus a multi-line chart or small multiples. In some cases, frequency trails let you show more in less space.
Fill areas with varying line density to give more or less visual attention. With geographic maps, the technique is especially useful to adjust for population density.
Visualize rankings over time instead of absolute values to focus on order instead of the magnitude of change.
Easily compare multiple categories and spot differences between two or more series.