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2021/11/28
The first important step of a data analysis workflow is to make sure that everything about your data “makes sense”. The {diagnose} function from {dlookr} 📦 provides a detailed data diagnosis report that makes this step easy! 🔍 https://t.co/UoUEdrfUTU #rstats #DataScience https://t.co/eVxrpd0rjc
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2021/11/21
Pie charts provide an informative but imperfect way to visualize categorical data, but squared pie (or waffle) charts overcome some of these imperfections. The {waffle} function from the eponymous 📦 easily produces them 🧇 https://t.co/OxtCuCMhHF #rstats #DataScience https://t.co/1ui2OqHJ8k
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2021/11/14
#rstats tip of the day: The tayloRswift package from @adastephenson now offers a ggplot2 palette for Red (Taylor’s Version) https://t.co/WhDH5dcfvA https://t.co/NPRehrUlxg
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2021/11/07
My new map shows the % of female researchers in Europe, according to UNESCO data. Link to the data source is in the map just below the legend. 👩🔬 #women #science #womenintech #rstats #maps #dataviz #DataScience https://t.co/HB9ThI0SoV
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2021/10/31
📚 R for Data Science 👤 Hadley Wickham @hadleywickham, Garrett Grolemund @StatGarrett 🔗 https://t.co/o8y97kSYR5 #rstats #datascience https://t.co/DEjUpcnQiT
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2021/10/24
A population density map of long, slinky Chile. Took a bit of time to find an angle I like. #rayshader adventures, an #rstats tale https://t.co/ulU36V34tw
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2021/10/17
📚📊 Data Visualization with R 👤 Robert Kabacoff @kabacoff 🔗 https://t.co/XjomFm3k4g #rstats #datascience
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2021/10/10
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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2021/10/03
The most beautiful Table 1 I’ve ever made 😍 Thanks to modelsummary by @VincentAB #dataviz #rstats https://t.co/6uJsVEmHiI
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2021/09/26
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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2021/09/19
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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2021/09/12
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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2021/09/05
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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2021/08/29
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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2021/08/22
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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2021/08/15
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
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2021/08/08
The tidyverse team is taking next week (Aug 9-13) off. Time away is so important for sustainable open source maintenance; we all need a break to recharge. You won’t hear from us on GitHub next week, but we look forward to working with y’all again when we get back! #rstats
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2021/08/01
ROC curves provide a convenient way to compare responses and predictions of a binomial model. The {performance_roc} function from {performance} 📦 computes AUC metric and visualizes ROC curves for a collection of models 🥇🥈🥉 https://t.co/ZKty2kA5Br #rstats #DataScience https://t.co/LYJgfvZHIF
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2021/07/18
A reproducible example showing how to create a figure of map layers in R https://t.co/bInB7eHpzd 🗺️ #rstats #rspatial Thanks to @geospacedman & @obrl_soil who have helped with this before and to @StefanJuenger for creating and elegant function to tilt sf objects https://t.co/4uQ5PF7GZJ
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2021/07/11
Sometimes we may wish to check all relevant assumptions for a regression model in one go. 🔍 The {check_model} function from {performance} 📦 does exactly this and also provides elegant visualizations with helpful pointers ✅📊 https://t.co/4SIIL0u9Jn #rstats #DataScience https://t.co/EMmye4qAZk
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2021/07/04
Correctly specifying a distribution family for regression model can improve estimate accuracy. But what if we’re unsure? The {check_distribution} function from {performance} 📦 uses Random Forest to help you reconsider the choice ⚠️ https://t.co/qD7cQvNLLz #rstats #DataScience https://t.co/MLhkCT2cwh
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2021/06/27
Completely written and knitted in Rmarkdown 💪 #rstats https://t.co/vXV8V1YpVe
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2021/06/20
Free eBooks: 100+ Free Data Science Books. #NeuralNetworks #MachineLearning #TensorFlow #100DaysOfCode #BigData #Analytics #DevCommunity #Programming #IoT #javascript #Linux #Cloud #Serverless #womenwhocode #Python #RStats #DeepLearning #AI #DataScience https://t.co/oKbTu2WlIi https://t.co/6RzDLjJemi
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2021/06/13
Too good to just stay on reddit #MachineLearning #RStats https://t.co/lZzUB8bzQy
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2021/06/06
{codehover} is a new R package I just created!! It’s educational: in a HTML page you pass the mouse on the code that you made and it should show the intermediary results. It should go hand in hand with pipes (the old and/or the new). (#RStats ) https://t.co/HEJ1cYC8YY
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2021/05/30
are you streaming data science-related content on Twitch? drop your channel + a brief description so we can start sharing your work and join up our communities ♥️ all languages//tools welcome! #rstats #python #julia #javascript
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2021/05/23
Hi all, I’m pleased to announce {tayloRswift}, a new #rstats package that lets you style ggplots based on #TaylorSwift album color palettes, available at https://t.co/gdTa12aoau Give it a try with the dev version: remotes::install_github(“asteves/tayloRswift”) https://t.co/Xm1Y7YmfEU
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2021/05/09
Finished the summer 2021 version of my dataviz class! 70 videos (≈23 hours!) + a literal ton of annotated ggplot code and examples + in-browser learnr modules that let you make plots without opening R, all open access and CC-licensed! https://t.co/g34LtyKW0P #rstats #dataviz
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2021/05/02
Rを使ったさまざまな書籍が無料で読めます（英語）。 オーソドックスなとこだと、ggplotのトナカイ本、tidyverseのオウム本 他にも、Introduction to Data Science、Beyond Multiple Linear Regression、Forecasting: Principles and Practiceとか気になる本もある。 https://t.co/KXXUBfkFUP https://t.co/gxVWaOPvf5
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2021/04/25
Super neat RStudio trick I just stumbled across! RStudio has code section comments (Code > Insert Section…) that let you fold code (if you have at least four -s after), but DID YOU ALSO KNOW that you can make subsections and that these all show up in the TOC areas?! #rstats https://t.co/22glKKe6x6