R CODER | Jose Carlos Soage ๐
@RCoderWeb
Learn R! #rstats Personal account: @josecarlossoage Tambiรฉn en espaรฑol ๐ ๐ http://r-charts.com ๐ http://python-charts.com ๐ http://r-packages.io
๋ด๊ฐ ์ข์ํ ๋งํ ์ฝํ ์ธ
๐๐ Introducing R-PACKAGES.IO ๐๐ Discover & Explore R Packages, Functions, and Datasets like never before! ๐ โจ 20k+ Packages โจ 400k+ Functions โจ 40k+ Datasets The ultimate resource for R developers! ๐๐ ๐ r-packages.io #RStats
[Tip of the day] Write your R scripts like others will read them, because future you is someone else Comment generously, name clearly #rstats #CodeStyle
Just found this amazing {ggplot2} reference card โ a lifesaver for customizing plots #rstats #dataviz
๐ก Try {ggspatial} to easily add scale bars, north arrows, and basemap layers to your ggplot2 maps ๐ r-packages.io/packages/ggspaโฆ
๐ก Struggling to get help with your R code online? Try {reprex} package to create a reproducible example that shows exactly what your code does Just write your code, run reprex(), and paste the result. Easy, clean, helpful. ๐ r-packages.io/packages/reprex
๐ Try rainbow parentheses! They color each level of nesting so you can spot mismatches instantly. A simple trick, a huge difference for debugging ๐ #rstats #rstatsTips #DataScience #Productivity
๐งต How to clean data like a pro with dplyr and tidyr in R If you're still struggling with messy datasets or spending hours on manual cleanupโฆ This thread is your shortcut to clean, tidy, analysis-ready data ๐ #rstats #DataCleaning #DataScience
๐ข Si eres de Espaรฑa o LATAM y te interesa el mundo de la ciencia de datosโฆ En mi LinkedIn personal (en espaรฑol) comparto ideas, herramientas y reflexiones sobre IA, data science y emprendimiento ๐ค ยฟConectamos? ๐ linkedin.com/in/jose-carlosโฆ
๐ Want to write faster and more efficient R code? Check out Efficient R Programming โ a practical guide packed with tips on writing clean, optimized, and production-ready R code. ๐ csgillespie.github.io/efficientR/ #rstats #DataScience #Rprogramming #Productivity
๐ฏ Ever wondered what really sets apart a Data Analyst, Data Scientist, Data Engineer, and ML Engineer? They might sound similar, but each role has a different focus, skill set, and mission Letโs break it down ๐งต๐ #DataScience #rstats #Statistics
Found a great cheatsheet with different ways to visualize percentages and parts of a whole ๐ (Pie charts are just the beginningโฆ) And if you work in R, Iโve gathered real code examples here: ๐ r-charts.com/part-whole/ #rstats #DataViz #ggplot2 #DataScience
๐ If you enjoy the R content I share here, you might also like what I post on my (new) personal account: data science, AI, and entrepreneurship Follow me at ๐ [@josecarlossoage ] Or on LinkedIn (in Spanish) ๐ linkedin.com/in/jose-carlosโฆ #rstats #datascience
๐ Drowning in forgotten TODOs in your R scripts? The {todor} package scans your code for #TODO, #FIXME, #NOTE, and more โ so you can track your tasks like a pro โ ๐ Great for big projects ๐ง Never miss a fix ๐ป Lightweight and easy to use ๐ install.packages("todor")
๐ฆธโโ๏ธ Meet the newest superhero in town โ Captain R! Fighting messy data, one line of code at a time ๐ช๐ Powered by tidyverse. Shielded by ggplot2 #rstats #DataScience #SuperCoder
[FREE R BOOK] ๐ "Tidy Modeling with R" by Max Kuhn & Julia Silge is a must-read! ๐ Learn how to streamline your ML workflow using the tidymodels framework ๐ tmwr.org #RStats #MachineLearning
๐ This #ggplot2 tutorial by @CedScherer never gets old! ๐ One of the best resources to master beautiful plotting in R ๐ cedricscherer.netlify.app/2019/08/05/a-gโฆ
[FREE ONLINE BOOK] ๐ R Markdown: The Definitive Guide Learn how to create dynamic reports, presentations, and interactive documents with R Markdown! ๐ bookdown.org/yihui/rmarkdowโฆ #rstats #DataScience
I've been trying out different ways of creating dumbbell charts with {ggplot2}. For this one I used a 'wide' summary table for the source data (which feels more intuitive to me). The method owes a lot to this tutorial from @RCoderWeb: r-charts.com/distribution/dโฆ #rstats #ggplot2
[FREE BOOK] Statistical Inference via Data Science: A ModernDive into R and the Tidyverse Written by Chester Ismay and Albert Y. Kim ๐ moderndive.com
> R-PACKAGES.IO The easiest way to discover and search the documentation of all CRAN packages
๐๐ Geocomputation with R is a free online book that covers everything from spatial data handling to advanced GIS analysis using R! ๐๐ Check it out here: r.geocompx.org #RStats #GIS #Geocomputation
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