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📚📊 Data Visualization with R 👤 Robert Kabacoff @kabacoff 🔗 https://t.co/XjomFm3k4g #rstats #datascience
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Sometimes you may wish to sample only a portion of the data. The {slice} function family from {dplyr} 📦 provides helpers to do so ✂️ https://t.co/4tt17FnvnM #rstats #DataScience https://t.co/9e8pS7KjFn
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The most beautiful Table 1 I've ever made 😍 Thanks to modelsummary by @VincentAB #dataviz #rstats https://t.co/6uJsVEmHiI
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I mapped forest cover in Europe on the municipality level using Copernicus satellite data 🌳🌲. Enjoy the greenery and freshness from afar! #forests #nature #dataviz #DataScience #BigData #rstats #maps https://t.co/m73ivLL8Ub
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A great resource, a book I’d recommend anyone focusing on data visualization to use. #DataAnalytics #DataScience #RStats https://t.co/IUMZgh5i8v
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How should you start a lit review? Use #litsearchr an #rstats package for automatically searching literature using text-mining and keyword co-occurrence networks. The code allows for reproducible science too! Work by @ElizaGrames https://t.co/BGD1lwSvXv https://t.co/7UD94TV56j
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Type I error vs Type II error as simple as you never imagine 😅😅 #statistics #datascience #rstats #python https://t.co/wCudIvsHoY
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A correlation matrix is a nifty visualization for displaying relationships between multiple variables. The {ggcorrmat} function from {ggstatsplot} 📦 creates such matrices with significance testing and other descriptive details ↔️ https://t.co/rbwEs6qVON #rstats #DataScience https://t.co/EDPanyNE0x
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I recently came across a really neat way of explaining R² and shared variation in regression models using Euler/Venn diagrams, so I wrote up a bunch of examples of how to make these plots using #rstats https://t.co/NYlgsgUllZ https://t.co/fTXZ6LxG6b
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So many books in so many (spoken and programming) languages, and all completely OPEN and FREE! 📚 {bookdown} 📦 is a godsend. 🙏 Check out the full list of available books here 👇 https://t.co/W513gTh6qo #rstats #DataScience #AcademicTwitter https://t.co/HQH9eQijxG