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

Exercise solutions to "R for Data Science"

Entries for tidytuesday

#TidyTuesday Contributions.

In this repository, you can find the plots that I've developed for the TidyTuesday project.

Repository for my Tidytuestay data visualizations.

Project for learning R

My themes for YSmenu firmware for cartridges R4.

Exercise solutions to R for Data Science - second edition as part of the NHS-R Community book club

DS exercises with penguins in a Box

#TidyTuesday

This is the repository for the Virtual Meetings related to the #TidyTuesday challenge.

📊 Ronan's #TidyTuesday blog. Reproducible examples of data wrangling, visualisation, and analysis in R. Written using distill for R Markdown.

A data science blog. Run by Michael McCarthy.

My personal note and solution to the exercises in R for Data Science by Hadley Wickham

My contributions to TidyTuesday, which is a weekly data project created by Thomas Mock aimed at the R ecosystem with an emphasis on understanding how to summarize and arrange data to make meaningful charts with {ggplot2}, {tidyr}, {dplyr}, and other tools in the tidyverse ecosystem.

My contributions to #TidyTuesday.

Dashboard to explore adoption and effects of climate smart agriculture practices and services. Data collected by the CIAT though the geofarmer app.

🧐 Learning how to use R with #TidyTuesday project

Exercise solutions to "R for Data Science"