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Top 23 R Data Science Projects
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One of the best free resources is the R4DS book by Hadley Wickham. You should make sure you start with the in progress second edition. https://r4ds.hadley.nz/
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SonarLint
Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.
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What’s the original? Tidyverse, as it exists now, had it’s initial release in 2016. Pandas initial release was in 2009. AFAIK, ggplot2 and reshape are the only individual Tidyverse packages older than that.
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drake
An R-focused pipeline toolkit for reproducibility and high-performance computing (by ropensci)
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Project mention: Working with columns names that are numbers (in this case, years) | /r/RStudio | 2022-10-15
I would just clean the names and work with those. Then there is no need to use backticks. Read about the function clean_names in the janitor vignette: https://github.com/sfirke/janitor
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mlr3 would be a competing modern framework to tidymodels that is also used. I know little about it except that it exists.
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Check out the ModelTime package: https://business-science.github.io/modeltime/
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Project mention: I need help for a project, Trans-voice database or library (vocal training/voice recognition) | /r/transvoice | 2022-10-17
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fastverse
An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
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bruceR
📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
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Project mention: Feedback needed: building Git for data that commits only diffs (for storage efficiency on large repositories), even without full checkouts of the datasets | /r/datascience | 2023-05-27
This is was attempted in an R package called gittargets
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aorsf: Accelerated Oblique Random Survival Forests, by Byron Jaeger, Nicholas Pajewski, and Sawyer Welden, reviewed by Lukas Burk, Marvin N. Wright, edited by Toby Dylan Hocking
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causalglm
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
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R-Fundamentals
D-Lab's 4 part, 8 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.
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InfluxDB
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
The latest post mention was on 2023-07-11.
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- There’s a lot of data science books out there, any recommendations for must-reads?
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A note from our sponsor - Mergify
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Index
What are some of the best open-source Data Science projects in R? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | awesome-R | 5,580 |
| 2 | r4ds | 4,119 |
| 3 | DataScienceR | 1,931 |
| 4 | tidyverse | 1,492 |
| 5 | drake | 1,329 |
| 6 | janitor | 1,293 |
| 7 | mlr3 | 814 |
| 8 | targets | 799 |
| 9 | engsoccerdata | 729 |
| 10 | disk.frame | 590 |
| 11 | modeltime | 471 |
| 12 | voice-gender | 315 |
| 13 | fastverse | 199 |
| 14 | bruceR | 131 |
| 15 | targets-tutorial | 89 |
| 16 | tweetbotornot2 | 87 |
| 17 | gittargets | 67 |
| 18 | targets-minimal | 57 |
| 19 | priceR | 50 |
| 20 | aorsf | 22 |
| 21 | causalglm | 13 |
| 22 | R-Fundamentals | 6 |
| 23 | R-Guide | 4 |
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