leovan/data-science-introduction-with-r
R 语言数据科学导论 | Data Science Introduction with R
This is a beginner-friendly guide to understanding and applying data science principles using the R programming language. It takes you from raw datasets to insightful analyses and visualizations, helping you uncover patterns and make data-driven decisions. This resource is perfect for students, researchers, or business analysts who want to learn how to manipulate, explore, and model data.
137 stars.
Use this if you are new to data science and want to learn how to perform data analysis, visualization, and basic machine learning using R.
Not ideal if you are an experienced data scientist looking for advanced topics or a deep dive into specific machine learning algorithms.
Stars
137
Forks
25
Language
TeX
License
—
Category
Last pushed
Jan 01, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/leovan/data-science-introduction-with-r"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related frameworks
lucasmaystre/choix
Inference algorithms for models based on Luce's choice axiom
laresbernardo/lares
Analytics & Machine Learning R Sidekick
TheAlgorithms/R
Collection of various algorithms implemented in R.
easystats/performance
:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
mlr-org/mlr
Machine Learning in R