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@@ -443,13 +443,14 @@ Curated resource materials from around the internet for data science, with appli
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-[Effectively Using Matplotlib][effectivemat]
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-[Fundamentals of Data Visualization](https://clauswilke.com/dataviz/) by Claus O. Wilke
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-[Practical Typography][practicaltypo] by Matthew Butterick
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-[ditaa][ditaa] - Small command-line utility to convert diagrams using ASCII
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-[ditaa](https://github.com/stathissideris/ditaa) - Small command-line utility to convert diagrams using ASCII
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art
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-[Asciiflow][asciiflow] - GUI to easily create ASCII plain text diagrams
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-[Asciiflow](http://asciiflow.com/) - GUI to easily create ASCII plain text diagrams
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-[Hand drawn feel to diagrams](https://sankhs.com/shakydraw/)
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-[10+ Guidelines for Better Tables in R (2020)](https://themockup.blog/posts/2020-09-04-10-table-rules-in-r/) - Notes on making better tables with accompanying R code
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-[The Design Philosophy of Great Tables (2024)](https://posit-dev.github.io/great-tables/blog/design-philosophy/) - Design philosophy behind the the [great-tables](https://github.com/posit-dev/great-tables) Python package to generate effect tables of data
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-[FriendsDontLetFriends](https://github.com/cxli233/FriendsDontLetFriends) - Opinionated essay about good and bad practices in data visualization with examples.
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-[Visual Analysis Best Practices: A Guidebook - Tableau](https://www.tableau.com/learn/whitepapers/tableau-visual-guidebook?signin=c6cf87638b3864d1c393ffafb79ae10c) - List of techniques to turn data visualizations from good to great
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