rstudio / r2d3
R Interface to D3 Visualizations
☆517Updated 8 months ago
Related projects: ⓘ
- Tidy data structures, summaries, and visualisations for missing data☆651Updated 6 months ago
- Glue strings to data in R. Small, fast, dependency free interpreted string literals.☆715Updated 2 weeks ago
- 🐈🐈🐈🐈: tools for working with categorical variables (factors)☆553Updated last month
- Preliminary Exploratory Visualisation of Data☆450Updated 2 months ago
- Render bits of R code for sharing, e.g., on GitHub or StackOverflow.☆738Updated last week
- Data table backend for dplyr☆663Updated 2 weeks ago
- Shiny support for powerful Fomantic UI library.☆498Updated 4 months ago
- make 'ggplot' graphics interactive☆773Updated 4 months ago
- Fast reading of delimited files☆622Updated 3 weeks ago
- Helper functions for modelling☆401Updated 10 months ago
- An R package for tidyverse-friendly statistical inference☆723Updated this week
- 📊 Add marginal histograms to ggplot2, and more ggplot2 enhancements☆380Updated 3 months ago
- Make waffle (square pie) charts in R☆776Updated 8 months ago
- R Weekly☆705Updated this week
- Generate R package documentation from inline R comments☆591Updated last month
- A frictionless, pipeable approach to dealing with summary statistics☆1,108Updated 10 months ago
- On top of spaghetti, all covered in cheese....☆893Updated 2 years ago
- A tidy API for graph manipulation☆546Updated 2 months ago
- "What They Forgot to Teach You About R" website / eBook☆422Updated this week
- R package that extends ggplot2☆584Updated 4 months ago
- Extra Coordinate Systems, Geoms, Statistical Transformations & Scales for 'ggplot2'☆659Updated 5 months ago
- Explore correlations in R☆588Updated 8 months ago
- RStudio Addins to Simplify Markdown Writing☆453Updated last year
- Formattable Data Structures☆693Updated this week
- Pipeable steps for feature engineering and data preprocessing to prepare for modeling☆564Updated this week
- A tidy unified interface to models☆586Updated this week
- Generate static html documentation for an R package☆713Updated this week
- 🐟 A Swiss-Army Knife for Data I/O☆598Updated last week
- Apply Mapping Functions in Parallel using Futures☆695Updated last year
- A dplyr backend that partitions a data frame over multiple processes☆639Updated last month