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GoldenViz @goldenviz.bsky.social · 05/08/2026

✨GoldenVizR v0.1.0 is now available on CRAN. review your ggplot2 visualizations against 25 rules covering completeness, readability, and integrity, and generate structured feedback and HTML reports. 🔽 install.packages("GoldenVizR") cran.r-project.org/package=Gold... #rstats #Dataviz #Tidytuesday

cran.r-project.org

GoldenVizR: Rule-Based Quality Checks for 'ggplot2' Visualizations Based on the 25 Golden Rules of Data Visualization

Quality-checking tools for reviewing R data visualizations built with the 'ggplot2' library against the 25 GoldenViz rules described at <<a href="https://goldenviz.org/" target="_top">https://golde...

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GoldenViz @goldenviz.bsky.social · 24/07/2026

🔹 A chart should give readers everything they need to interpret it 🔹 The Completeness principle covers: -clear titles, - labelled axes, - missing data, - legends, - sources, - context, - and useful annotations. 🟣 Six rules from the 25 Golden Rules of Data Visualization goldenviz.org

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GoldenViz @goldenviz.bsky.social · 22/07/2026

📣 GoldenVizR v0.1.0 is now available on GitHub. An R package providing rule-based quality checks for ggplot2 visualizations, based on the 25 Golden Rules of Data Visualization. to try : 🔽 github.com/WajdiBenSaad... #RStats #DataViz #ggplot2 #TidyTuesday

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GoldenViz @goldenviz.bsky.social · 06/07/2026

Let’s start the week with a focus on knowledge sharing and practical #DataViz principles. Before diving into the 25 Golden Rules of Data Visualization, here are the 3 core principles behind the #GoldenViz book and library: - Completeness - Readability - Integrity 🔽 🔽 🔽 🔽 🔽

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GoldenViz @goldenviz.bsky.social · 01/07/2026

Before publishing a chart, ask 3 questions: 1. Is it complete? 2. Is it easy to read? 3. Can the reader trust it? That’s the idea behind this GoldenViz cheat sheet: 25 practical rules to make charts clearer, cleaner, and more honest. #DataViz #Python #TidyTuesday #DataScience

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GoldenViz @goldenviz.bsky.social · 23/06/2026

Today, let’s talk about the 25 Golden Rules of Data Visualization. They are organized around 3 core principles: - Completeness - Readability - Integrity Each rule helps answer a simple question: is the chart understandable, readable, and honest? www.goldenviz.org ⬇️

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GoldenViz @goldenviz.bsky.social · 22/06/2026

Here they are, the first 5 rules of the @goldenviz.bsky.social Library. if you want to go further, follow us, and visit: goldenviz.org/en/ #30DayChartChallenge #DataViz #DataScience

goldenviz.org

The 25 Golden Rules of Data Visualization

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GoldenViz @goldenviz.bsky.social · 22/06/2026

Let's go a bit deeper into the 25 Golden Rules of Data Viz. Today we will share the first five rules, with some examples ( very simplified) to allow you to understand the rule's main impact 👇

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GoldenViz @goldenviz.bsky.social · 21/06/2026

📣 GoldenViz 1st stable release is out: v0.1.1 A Python library to check & improve charts using the 25 Golden Rules of Data Visualization. Features: chart diagnostics, rule-based feedback, teaching examples. Useful for students, analysts and educators 👇 goldenviz.readthedocs.io

goldenviz.readthedocs.io

GoldenViz documentation — GoldenViz 0.1.1 documentation

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