Easily install and load packages from the tidyverse

simple tools for data cleaning in R

Text mining using tidy tools ✨📄✨

Bringing financial analysis to the tidyverse

My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2.

Time series analysis in the `tidyverse`

Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.

🐈🐈🐈🐈: tools for working with categorical variables (factors)

A tidy API for graph manipulation

Tidy Geospatial Networks in R

Draw heatmap simply using a tidy data frame

Exercise solutions to "R for Data Science"

Geocoding Made Easy

Dark mode for ggplot2 themes

An extensible API for breaking captchas

🎓 Tidy tools for academics

Query R data frames with SQL

Brings bulk and pseudobulk transcriptomics to the tidyverse

Seurat meets tidyverse. The best of both worlds.

Extending broom for time series forecasting