✚ How I Made That: Network Diagrams of All the Household Types

With visualization, there’s a lot of filtering and aggregation so that it’s easier to see general patterns. But lately I’ve been more curious about what we can see from visualizing everything. So I made network diagrams for 4,708 household types in the United States.

Here’s how I made them using Python and R.

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✚ Making a Quick, Custom Prevalence Map – The Process 139

Welcome to issue #139 of The Process, the newsletter for FlowingData members where we look at how the charts get made. I’m Nathan Yau, and this week I’m describing my process behind a quick map. You can download the code at the end of this issue.

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✚ How I Made That: Animated Difference Charts in R

A combination of a bivariate area chart, animation, and a population pyramid, with a sprinkling of detail and annotation. Read More

[Members Only] How I Made That: National Dot Density Map

Mapping one dot per person, it's all about putting the pieces together. Read More

[For Members] How I Made That: Animated Square Pie Chart

Also known as waffle charts. Using animated transitions between values, you can allow for comparisons between categories. Read More

[For Members] How I Made That: Interactive Heatmap

Add interaction so that you can show different segments of the data and allow comparisons. Read More

[For Members] How I Made That: Interactive Beeswarm Chart to Compare Distributions

The histogram is my favorite chart type, but it's unintuitive for many. So I've been using the less accurate but less abstract beeswarm. Read More

[For Members] How I Made That: Searchable Time Series Chart

When there are too many options or categories, it can be helpful to make the data searchable. Read More