Transcript#
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Have you ever heard of the Grammar of Graphics?, it's a powerful layer-based framework for building data visualizations. First introduced by Leland Wilkinson in 2001, the idea is that any statistical plot can be broken down into a distinct hierarchy of elements. It was famously popularized in R via ggplot2, allowing you to build highly customized, elegant graphs by stacking code layers, defaults layers, scale, coordinates, and facets. ggplot2 also has a huge ecosystem of packages that can help you create the graph of your dreams.
ggplot2 also has a huge ecosystem of packages that can help you create the graph of your dreams.
You can use the same framework across other languages, like PlotName for Python, ggsql for SQL, and gribouille for Types. What's your go-to plotting library? Let us know in the comments.
