:books: Biggest Collection of Free R Programming Books and Other Resources
In this repository, you can find a number of great books from top most creators and data scientists and other useful R resources (courses, tutorials, workshops, etc.) available online for **FREE** :books: :file_folder:
If you have any comments or suggestions for additions or improvements for this repository, submit an issue or a pull request. If you can’t contribute on GitHub, [send me an email](https://github.com/javedali99/r-resources-for-data-science/blob/master/mailto:javedali28@gmail.com).
If you find these resources useful, please give this repository a star and you can also buy me some coffee .
***
:mailbox: Connect with me :mailbox:
***
### Content
* [R Programming](https://github.com/javedali99/r-resources-for-data-science/blob/master/#r-programming)
* [{ggplot2}](https://github.com/javedali99/r-resources-for-data-science/blob/master/#ggplot2)
+ [Useful Packages](https://github.com/javedali99/r-resources-for-data-science/blob/master/#useful-packages)
+ [Themes](https://github.com/javedali99/r-resources-for-data-science/blob/master/#themes)
+ [Domain-specific plots](https://github.com/javedali99/r-resources-for-data-science/blob/master/#domain-specific-plots)
* [Statistics with R](https://github.com/javedali99/r-resources-for-data-science/blob/master/#statistics-with-r)
* [Machine Learning with R](https://github.com/javedali99/r-resources-for-data-science/blob/master/#machine-learning-with-r)
* [R Spatial](https://github.com/javedali99/r-resources-for-data-science/blob/master/#r-spatial)
+ [Spatial Visualization](https://github.com/javedali99/r-resources-for-data-science/blob/master/#spatial-visualization)
* [Data Visualization](https://github.com/javedali99/r-resources-for-data-science/blob/master/#data-visualization)
+ [Colors](https://github.com/javedali99/r-resources-for-data-science/blob/master/#colors)
+ [Chart Types](https://github.com/javedali99/r-resources-for-data-science/blob/master/#chart-types)
+ [Fonts](https://github.com/javedali99/r-resources-for-data-science/blob/master/#fonts)
+ [Interactive plots](https://github.com/javedali99/r-resources-for-data-science/blob/master/#Interactive-plots)
+ [Network Visualization](https://github.com/javedali99/r-resources-for-data-science/blob/master/#network-visualization)
+ [Tables](https://github.com/javedali99/r-resources-for-data-science/blob/master/#tables)
+ [Tutorials](https://github.com/javedali99/r-resources-for-data-science/blob/master/#tutorials)
+ [Plots](https://github.com/javedali99/r-resources-for-data-science/blob/master/#plots)
+ [Drawing](https://github.com/javedali99/r-resources-for-data-science/blob/master/#drawing)
+ [Other helpful resources](https://github.com/javedali99/r-resources-for-data-science/blob/master/#other-helpful-data-visualization-resources)
* [R Markdown](https://github.com/javedali99/r-resources-for-data-science/blob/master/#r-markdown)
* [R Shiny Apps](https://github.com/javedali99/r-resources-for-data-science/blob/master/#r-shiny-apps)
* [R Package Development](https://github.com/javedali99/r-resources-for-data-science/blob/master/#r-package-development)
* [R Packages Tutorials](https://github.com/javedali99/r-resources-for-data-science/blob/master/#r-packages-tutorials)
+ [Tidymodels](https://github.com/javedali99/r-resources-for-data-science/blob/master/#tidymodels)
* [Interesting Personal Blogs](https://github.com/javedali99/r-resources-for-data-science/blob/master/#interesting-personal-blogs)
* [Get Help](https://github.com/javedali99/r-resources-for-data-science/blob/master/#get-help)
---
## R Programming
* ["Big Book of R"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://www.bigbookofr.com/index.html) — an online book :closed_book: by Oscar Baruffa consisting a list of R-related programming books
* ["Cookbook for R"](https://github.com/javedali99/r-resources-for-data-science/blob/master/http://www.cookbook-r.com/) — free online book :closed_book: by Winston Chang
* ["Technical Foundations of Informatics"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://info201.github.io/) — free online book :closed_book: by Michael Freeman & Joel Ross
* ["Efficient R Programming"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://bookdown.org/csgillespie/efficientR/) — free online book :closed_book: by Colin Gillespie & Robin Lovelace
* ["YaRrr! The Pirate's Guide to R"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://bookdown.org/ndphillips/YaRrr/) — free online book :closed_book: by Nathaniel Phillips
* ["Hands-On Programming with R"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://rstudio-education.github.io/hopr/) — free online book :closed_book: by Garrett Grolemund
* ["R for Data Science"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://r4ds.had.co.nz/) — free online book :closed_book: by Hadley Wickham & Garrett Grolemund
* ["Advanced R"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://adv-r.hadley.nz/) — free online book :closed_book: by Hadley Wickham
* ["Data wrangling, exploration, and analysis with R"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://stat545.com/) — free online book :closed_book: by Jenny Bryan
* ["Getting Used to R, RStudio, and R Markdown"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://rbasics.netlify.app/) — free online book :closed_book: by Chester Ismay & Patrick C. Kennedy
* ["Tidy evaluation"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://tidyeval.tidyverse.org/) — free online book :closed_book: by Lionel Henry & Hadley Wickham
* ["Happy Git and GitHub for the useR"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://happygitwithr.com/) — free online book :closed_book: by Jenny Bryan
* ["R Cookbook, 2nd Edition"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://rc2e.com/) — free online book :closed_book: by James Long & Paul Teetor
* ["A ModernDive into R and the tidyverse"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://moderndive.com/index.html) — free online book :closed_book: by Chester Ismay & Albert Y. Kim
* ["Modern R with the tidyverse"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://b-rodrigues.github.io/modern_R/) — free online book :closed_book: by Bruno Rodrigues
* ["Introduction to Data Exploration and Analysis with R"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://bookdown.org/mikemahoney218/IDEAR/) — free online book :closed_book: by Michael Mahoney
* ["Text Mining with R: A Tidy Approach"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://www.tidytextmining.com/) — free online book :closed_book: by Julia Silge & David Robinson
* ["The tidyverse style guide"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://style.tidyverse.org/) — free online book :closed_book: by Hadley Wickham
* ["Advanced R Course"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://privefl.github.io/advr38book/) — free online book :closed_book: by Florian Privé
* ["What They Forgot to Teach You About R"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://rstats.wtf/) — free online book :closed_book: by Jennifer Bryan & Jim Hester
* ["R in Nutshell"](https://github.com/javedali99/r-resources-for-data-science/blob/master/http://guianaplants.stir.ac.uk/seminar/resources/R_in_a_Nutshell_Second_Edition.pdf) — free online book :closed_book: by Joseph Adler
* ["R for Social Scientists"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://bookdown.org/paulcbauer/r_for_social_scientists/) — free online book :closed_book: by Paul C. Bauer & Rudolf Farys
* ["R for Journalists"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://learn.r-journalism.com/en/) — free online book :closed_book: by Andrew Ba Tran
* ["R for Excel"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://rstudio-conf-2020.github.io/r-for-excel/) — free online book :closed_book: by Julie Lowndes & Allison Horst
* ["Twitter for R programmers"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://www.t4rstats.com/) — free online book :closed_book: by Oscar Baruffa & Veerle van Son
* ["Mastering Spark with R"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://therinspark.com/) — free online book :closed_book: by Javier Luraschi, Kevin Kuo, Edgar Ruiz
* [R Graph Gallery](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://www.r-graph-gallery.com/) :bar_chart: :chart_with_upwards_trend: :art:
* [Five Simple Tipps to Improve Your R Code](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://drsimonj.svbtle.com/five-simple-tricks-to-improve-your-r-code)
* [R-Bootcamp](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://r-bootcamp.netlify.app/) — free online course by Ted Laderas and Jessica Minnier about manipulating and visualizing data in R using the `tidyverse` suite of packages
* [Advanced R for Bioinformatics Summer School](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://nbisweden.github.io/workshop-RaukR-1806/programme/)
* [SatRdays Neuchatel 2020 Workshop](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/satRdays/neuchatel2020/blob/master/README.md)
* [R Studio 2019 Workshops](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/rstudio/rstudio-conf/blob/master/2019/workshops.md)
* [R Studio 2020 Workshops](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/rstudio/rstudio-conf/tree/master/2020)
* [Going Deeper with R](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://rfortherestofus.com/live/) — free live course :tv: by R by David Keyes
* [Coding Club Tutorials](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://ourcodingclub.github.io/tutorials.html)
* [Top 100 R Tutorials: Basic to Advance](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://www.listendata.com/p/r-programming-tutorials.html)
* [RYouWithMe](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://rladiessydney.org/courses/ryouwithme/) — course by R-Ladies Sydney
* [R Programming: Learn the Basics of Statistical Computing](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://www.youtube.com/embed/_V8eKsto3Ug) — YouTube :tv: Videos
* [Introduction to Text Analytics with R](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://www.youtube.com/embed/videoseries?list=PLTJTBoU5HOCR5Vkah2Z-AU76ZYsZjGFK6) — YouTube :tv: Videos
* [R Programming Tutorials](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://www.youtube.com/embed/videoseries?list=PLEPXSWoXSDDl6eGLdvhojyzCziCqteMs4) — YouTube :tv: Videos
* ["Exploratory Data Analysis & Visualization"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://edav.info/) — free online book :closed_book: by Zach Bogart & Joyce Robbins
* [RStudio Webinars](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://rstudio.com/resources/webinars/) :tv: :computer:
* [R Consortium](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://www.youtube.com/channel/UC_R5smHVXRYGhZYDJsnXTwg/videos) — YouTube videos :tv:
* [rOpenSci Community Vimeo Channel](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://vimeo.com/ropensci) — [rOpenSci Community](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://ropensci.org/) videos :tv:
* [Rstats education](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/rstudio-education/rstats-ed) — a repository for discovering courses and learning materials for learning and teaching R.
* [Ready for R](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://ready4r.netlify.app/) — a free online course by Dr. Ted Laderas, an Assistant Professor at Oregon Health and Science University and an RStudio certified trainer.
* [Data science with R: A robust toolkit for psychological research](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://robust-tools.djnavarro.net/) — a free course by Danielle Navarro
* [Statistics 431: Advanced Statistical Computing with R](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://cal-poly-advanced-r.github.io/STAT-431/) — 9-week online course at Cal Poly taught by Dr. Kelly Bodwin and Dr. Hunter Glanz
## `{ggplot2}`
* ["ggplot2: Elegant Graphics for Data Analysis"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://ggplot2-book.org/) — free online book :closed_book: by Hadley Wickham
* [Source code of the book :closed_book: "Fundamentals of Data Visualization"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/clauswilke/dataviz)
* [Top 50 ggplot visualizations](https://github.com/javedali99/r-resources-for-data-science/blob/master/http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html)
* [Gallery of ggplot2 extensions](https://github.com/javedali99/r-resources-for-data-science/blob/master/http://www.ggplot2-exts.org/gallery/)
* [Extending ggplot2](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://cran.r-project.org/web/packages/ggplot2/vignettes/extending-ggplot2.html)
* [#TidyTuesday Collection](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://nsgrantham.shinyapps.io/tidytuesdayrocks/)
* [A ggplot2 Tutorial for Beautiful Plotting in R](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://cedricscherer.netlify.app/2019/08/05/a-ggplot2-tutorial-for-beautiful-plotting-in-r/) — a blogpost by Cédric Scherer
* [R Graphics: Introduction to ggplot2](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://stats.idre.ucla.edu/stat/data/intro_ggplot2_int/ggplot2_intro_interactive.html#(1)) — slides :bar_chart:
* [An Introduction to {ggplot2}](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://cedricscherer.netlify.com/slides/2019-08-28-intro-ggplot-statsizw#1) — slides :bar_chart: by Cédric Scherer
* [Data Science and Visualizations with R](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://bookdown.org/datavizsolutions/02-dplyr/) — free course by Jonathan Wong on the use of tidyverse packages
### Useful Packages
* `{cowplot}` — plot arrangements, themes & annotations → [wilkelab.org/cowplot](https://github.com/javedali99/r-resources-for-data-science/blob/master/wilkelab.org/cowplot)
* `{ggalt}` — alternative coords, geoms, stats & scales → [github.com/hrbrmstr/ggalt](https://github.com/javedali99/r-resources-for-data-science/blob/master/github.com/hrbrmstr/ggalt)
* `{gganimate}` — create animations → [gganimate.com](https://github.com/javedali99/r-resources-for-data-science/blob/master/gganimate.com)
* `{ggforce}` — several interesting add-on features → [ggforce.data-imaginist.com](https://github.com/javedali99/r-resources-for-data-science/blob/master/ggforce.data-imaginist.com)
* `{ggmaps}` — access to Google & Stamen maps → [github.com/dkahle/ggmap](https://github.com/javedali99/r-resources-for-data-science/blob/master/github.com/dkahle/ggmap)
* `{ggplotly}` — create interactive plots → [plot.ly/ggplot2](https://github.com/javedali99/r-resources-for-data-science/blob/master/plot.ly/ggplot2)
* `{ggpubr}` — publication-ready plot in one line → [github.com/kassambara/ggpubr](https://github.com/javedali99/r-resources-for-data-science/blob/master/github.com/kassambara/ggpubr)
* `{ggraph}` — networks, graphs & trees → [github.com/thomasp85/ggraph](https://github.com/javedali99/r-resources-for-data-science/blob/master/github.com/thomasp85/ggraph)
* `{ggrepel}` — prevent overlapping text labels → [github.com/slowkow/ggrepel](https://github.com/javedali99/r-resources-for-data-science/blob/master/github.com/slowkow/ggrepel)
* `{ggridges}` — geoms for joy plots → [github.com/clauswilke/ggridges](https://github.com/javedali99/r-resources-for-data-science/blob/master/github.com/clauswilke/ggridges)
* `{ggtext}` — rich-text rendering → [github.com/clauswilke/ggtext](https://github.com/javedali99/r-resources-for-data-science/blob/master/github.com/clauswilke/ggtext)
* `{ggthemes}` — additional themes, sclaes & geoms → [github.com/jrnold/ggthemes](https://github.com/javedali99/r-resources-for-data-science/blob/master/github.com/jrnold/ggthemes)
* `{hrbrthemes}` — typography-centric themes → [github.com/hrbrmstr/hrbrthemes](https://github.com/javedali99/r-resources-for-data-science/blob/master/github.com/hrbrmstr/hrbrthemes)
* `{lemon}` — axis & legend add-ons → [github.com/stefanedwards/lemon](https://github.com/javedali99/r-resources-for-data-science/blob/master/github.com/stefanedwards/lemon)
* `{patchwork}` — combine ggplots → [github.com/thomasp85/patchwork](https://github.com/javedali99/r-resources-for-data-science/blob/master/github.com/thomasp85/patchwork)
* `{rayshader}` — hillshaded maps in 2D & 3D → [github.com/tylermorganwall/rayshader](https://github.com/javedali99/r-resources-for-data-science/blob/master/github.com/tylermorganwall/rayshader)
* `{showtext}` — use custom fonts → [github.com/yixuan/showtext](https://github.com/javedali99/r-resources-for-data-science/blob/master/github.com/yixuan/showtext)
### Themes
* [ggthemr](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/cttobin/ggthemr) - Themes for ggplot2.
* [ggthemes](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/jrnold/ggthemes) - Additional themes, scales, and geoms for ggplot2.
* [ggpomological](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/gadenbuie/ggpomological) - Pomological plot theme for ggplot2 .
* [ggtech](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/ricardo-bion/ggtech) - ggplot2 tech themes, scales, and geoms .
* [hrbrthemes](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/hrbrmstr/hrbrthemes) - Opinionated, typographic-centric ggplot2 themes and theme components.
* [vapoRwave](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/moldach/vapoRwave) - Vaporwave themes and color palettes for ggplot2.
* [tvthemes](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/Ryo-N7/tvthemes) - ggplot2 themes and palettes based on your favorite TV shows.
* [Rokemon](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/schochastics/Rokemon) - Pokemon themed R package.
* [visibly](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/m-clark/visibly) - Functions related to R visualizations.
* [xkcd](https://github.com/javedali99/r-resources-for-data-science/blob/master/http://xkcd.r-forge.r-project.org/) - Graphs using the XKCD style (a webcomic of romance, sarcasm, math, and language). [[Tutorial]](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/cran/xkcd/blob/master/inst/doc/xkcd-intro.pdf)
* [ggrough](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/xvrdm/ggrough) - Convert ggplot2 chart to roughjs.
* [ggCorpIdent](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/INWTlab/ggCorpIdent) - A package for ggplot2 graphics in corporate design with custom fonts, colors and logo. [[Tutorial]](https://github.com/javedali99/r-resources-for-data-science/blob/master/
### Domain-specific plots
* [ggparliament](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/RobWHickman/ggparliament) - Simple parliament plots using ggplot2.
* [ggsoccer](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/Torvaney/ggsoccer) - Plot soccer event data in R/ggplot2.
* [soccermatics](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/JoGall/soccermatics) - Tools for visualisation and analysis of soccer tracking and event data.
* [gganatogram](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/jespermaag/gganatogram) - Create anatograms using ggplot2.
* [rchess](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/jbkunst/rchess) - Chess package for R.
* [brickr](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/ryantimpe/brickr) - 3D LEGO models and mosaics from images using R and tidyverse.
* [desplot](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/kwstat/desplot) - Functions for plotting experimental designs of field trials in agriculture.
* [kinship2](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/sinnweja/kinship2) - Pedigree creation, plotting, and analytics. [[Vignette]](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://cran.r-project.org/web/packages/kinship2/vignettes/pedigree.html)
* [GeomMLBStadiums](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/bdilday/GeomMLBStadiums) - Geoms to draw MLB stadiums in ggplot2.
* [ggpacman](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/mcanouil/ggpacman) - A `ggplot2` and `gganimate` Version of Pac-Man.
* [gglcd](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/cj-holmes/gglcd) - About
Programmatic production of Liquid Crystal alignment diagrams.
* [econocharts](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/R-CoderDotCom/econocharts) - Microeconomic graphs in ggplot2.
## Statistics with R
* ["Statistical Thinking for the 21st Century"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://statsthinking21.github.io/statsthinking21-core-site/) — free online book :closed_book: by Russell A. Poldrack
* ["Statistics for Social Sciences II: Multivariate Techniques"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://bookdown.org/egarpor/SSS2-UC3M/) — notes by Eduardo García Portugués
* ["Doing Bayesian Data Analysis in brms and the tidyverse"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://bookdown.org/content/3686/) — free online book :closed_book: by A Solomon Kurz
* ["Foundations of Statistics with R"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://bookdown.org/speegled/foundations-of-statistics/) — free online book :closed_book: by Darrin Speegle
* [Statistics and R](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://bookdown.org/animestina/phd_july_19/) — PhD Training Workshop by Anastasia Ushakova & Emma Waterston
* [Teacups giraffes and statistics](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://tinystats.github.io/teacups-giraffes-and-statistics/index.html)
## Machine Learning with R
* [Your First Machine Learning Project in R Step-By-Step](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://machinelearningmastery.com/machine-learning-in-r-step-by-step/) — blogpost by Jason Brownlee
* [Introduction to Machine Learning with the Tidyverse](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://conf20-intro-ml.netlify.app/) — two-day workshop offered at rstudio::conf 2020 by Alison Hill & Garrett Grolemund
* [Hands-On Machine Learning with R](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://bradleyboehmke.github.io/HOML/) — free online book :closed_book: by Bradley Boehmke & Brandon Greenwell
* [Supervised Machine Learning: Case Studies in R](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://supervised-ml-course.netlify.app/) — A Free, Interactive Course Using Tidy Tools
* [Diploma in Machine Learning with R studio](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://alison.com/course/diploma-in-machine-learning-with-r-studio) — free online machine learning course by R Studio
* [Interpretable Machine Learning: A Guide for Making Black Box Models Explainable](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://christophm.github.io/interpretable-ml-book/) — free online book :closed_book: by Christoph Molnar
## R Spatial
* ["Geocomputation with R"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://geocompr.robinlovelace.net/index.html) — free online book :closed_book: by Robin Lovelace, Jakub Nowosad & Jannes Muenchow
* [Spatial Data Science with R](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://www.rspatial.org/)
* ["Spatial Microsimulation with R"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://spatial-microsim-book.robinlovelace.net/index.html) — free online book :closed_book: by Robin Lovelace & Morgane Dumont
* ["Spatial Data Science"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://keen-swartz-3146c4.netlify.app/) — free online book :closed_book: by Edzer Pebesma, Roger Bivand
* ["30 Day Map Challenge"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://rud.is/books/30-day-map-challenge/) — free online book :closed_book: by Bob Rudis
* ["Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://becarioprecario.bitbucket.io/spde-gitbook/index.html) — free online book :closed_book: by Elias T. Krainski, Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi, Daniela Castro-Camilo, Daniel Simpson, Finn Lindgren & Hvard Rue
* ["Introduction to Spatial Data Programming with R"](https://github.com/javedali99/r-resources-for-data-science/blob/master/http://geobgu.xyz/r/) — free online book :closed_book: by Michael Dorman
* ["Introduction to Web Mapping"](https://github.com/javedali99/r-resources-for-data-science/blob/master/http://geobgu.xyz/web-mapping/) — free online book :closed_book: by Michael Dorman
* [Introduction to GIS with R](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://www.jessesadler.com/post/gis-with-r-intro/) — a blogpost by Jesse Sadler
### Spatial Visualization
* [Connections on the map](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://flowingdata.com/2011/05/11/how-to-map-connections-with-great-circles/) [[remarks]](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://paulbutler.org/2010/visualizing-facebook-friends/)
* [3D Lego Map and visualize Columbus Voyage - Rayshade rWalkthrough [GIF]](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://arthurwelle.github.io/RayshaderWalkthrough/index.html)
* [Subplots in maps with ggplot2](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://ikashnitsky.github.io/2017/subplots-in-maps/)
* [Bivariate maps with ggplot2 and sf](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://timogrossenbacher.ch/2019/04/bivariate-maps-with-ggplot2-and-sf/)
* [Spatial.ly Blog](https://github.com/javedali99/r-resources-for-data-science/blob/master/http://spatial.ly/) by James Cheshire
* [Bivariate Chloropleth Maps](https://github.com/javedali99/r-resources-for-data-science/blob/master/http://www.joshuastevens.net/cartography/make-a-bivariate-choropleth-map/)
* [Value-by-Alpha Maps](https://github.com/javedali99/r-resources-for-data-science/blob/master/http://andywoodruff.com/blog/value-by-alpha-maps/)
* [ggmap](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/dkahle/ggmap) - A package for plotting maps in R with ggplot2.
* [tmap](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/mtennekes/tmap) - R package for thematic maps.
* [leaflet](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/rstudio/leaflet) - R Interface to Leaflet Maps.
* [globe4r](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/JohnCoene/globe4r) - Interactive globe visualisations.
* [urbnmapr](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/UrbanInstitute/urbnmapr) - State and county maps with Alaska and Hawaii.
* [cartography](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/riatelab/cartography) - Thematic Cartography. [[Vignette]](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://cran.r-project.org/web/packages/cartography/vignettes/cartography.html)
* [mapextrud](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://github.com/neocarto/mapextrud) - Build Extruded Maps in R.
* [geofacet](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://hafen.github.io/geofacet/) - R package for geographical faceting with ggplot2.
## Data Visualization
* ["Data Visualization"](https://github.com/javedali99/r-resources-for-data-science/blob/master/http://socviz.co/) — free online book :closed_book: by Kieran Healy
* ["Interactive web-based data visualization with R, plotly, and shiny"](https://github.com/javedali99/r-resources-for-data-science/blob/master/https://plotly-r.com/) — free online book :closed_book: by Carson Sievert
* ["Fundamentals o ... ...