• Home
  • About
  • Blogdown
  • RSS
  • Yihui's Homepage
  • Github

  • 2022/01/09 WOW. Easy and pretty, on #data labelling with the #rstats geomtextpath pkg! 📦 ggplot() + geom_textline() geom_textdensity() geom_textsmooth() https://t.co/mUkGgpSzbs https://t.co/p1vkdHtp2h
  • 2022/01/02 I spent new years eve creating a data viz of the books I read in 2021. #DataViz #RStats #GGPlot2 #Reading https://t.co/5hzcZ5T8RP
  • 2021/12/26 35 derslik R’da İlk Adımlar serisini paylaştım. Başladık artık 😊 Faydalı olmasını dilerim. Oynatma listesi: https://t.co/f2Y6v6BKpr #rstats #rstatstr https://t.co/vIkW36EPg9
  • 2021/12/19 📚 Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R 👤 Paul Roback and Julie Legler 🔗 https://t.co/gbk0yfCAe9 #rstats #datascience https://t.co/ycNIaTbxx4
  • 2021/12/12 ✨✨New Package✨✨ Happy to announce that I am soft launching my R color palette package {MetBrewer} today! Currently has over 30 palettes inspired by works at the @metmuseum and expanding! Download Instruction and Palettes here: https://t.co/Imk2UzfJiz #r4ds #dataviz #rstats https://t.co/oWlSFOpEKh
  • 2021/12/05 Today is launch day!🚀🚀 I am super excited to introduce Tidy Data Tutor a web application for visualizing your #rstats #tidyverse data analysis pipelines: https://t.co/7DuRg1ilMm (Developed with Philip Guo) https://t.co/kHzi1GGoYM
  • 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
  • 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
  • 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
  • 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
  • 2021/10/31 📚 R for Data Science 👤 Hadley Wickham @hadleywickham, Garrett Grolemund @StatGarrett 🔗 https://t.co/o8y97kSYR5 #rstats #datascience https://t.co/DEjUpcnQiT
  • 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
  • 2021/10/17 📚📊 Data Visualization with R 👤 Robert Kabacoff @kabacoff 🔗 https://t.co/XjomFm3k4g #rstats #datascience
  • 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
  • 2021/10/03 The most beautiful Table 1 I’ve ever made 😍 Thanks to modelsummary by @VincentAB #dataviz #rstats https://t.co/6uJsVEmHiI
  • 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
  • 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
  • 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
  • 2021/09/05 Type I error vs Type II error as simple as you never imagine 😅😅 #statistics #datascience #rstats #python https://t.co/wCudIvsHoY
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 2021/06/27 Completely written and knitted in Rmarkdown 💪 #rstats https://t.co/vXV8V1YpVe
  • 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
  • 2021/06/13 Too good to just stay on reddit #MachineLearning #RStats https://t.co/lZzUB8bzQy
  • ««
  • «
  • 2
  • 3
  • 4
  • 5
  • 6
  • »
  • »»