Practical how-tos on how to make any chart and apply methods to your own data.
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.
Almost all of my visualization projects that use data from the Census Bureau comes via IPUMS. In this guide, I provide five steps to getting the data you need using their tools.
Using the library command-line gets you more flexibility to highlight the important parts of the data.
With cyclical data, a circular format might be useful. Combine that with a smooth density to reduce noise, and you got yourself a plot.