Tutorials

44 posts
How to Flatten the Curve, a Social Distancing Simulation and Tutorial

Using R, we look at how your decreased interaction with others can help slow the spread of infectious diseases. Read More

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✚ How to Visualize Hierarchical Graphs in R, with ggraph and tidygraph

Network graphs are a good way to find structure and relationships within hierarchical data. Here are several ways to do it. Read More

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✚ How to Make Line Charts in Python, with Pandas and Matplotlib

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. Read More

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✚ How to Make a Grid Map with Histograms in R, with ggplot

Layout multiple charts in a single view. Then adjust the scales appropriately for maximum comparability and a unified graphic. Read More

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✚ How to Make Interactive Frequency Trails with D3.js

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. Read More

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✚ How to Draw Maps with Hatching Lines in R

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. Read More

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✚ How to Make a Bump Chart in R, with ggplot

Visualize rankings over time instead of absolute values to focus on order instead of the magnitude of change. Read More

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✚ How to Make a Multi-Series Dot Plot in Excel

Easily compare multiple categories and spot differences between two or more series. Read More

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✚ How to Use IPUMS Extraction Tools to Download Survey Data

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. Read More

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✚ How to Make Animated Visualization GIFs with ImageMagick

Using the library command-line gets you more flexibility to highlight the important parts of the data. Read More

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