There are 2 repositories under r4ds topic.
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"
Resources for the R4DS Online Learning Community, including answer keys to the text
#TidyTuesday Contributions.
Repo dedicated to #tidyweek & Mentorship pilot
In this repository, you can find the plots that I've developed for the TidyTuesday project.
Public repository for the R4DS community website.
Repository for my Tidytuestay data visualizations.
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
📊 Ronan's #TidyTuesday blog. Reproducible examples of data wrangling, visualisation, and analysis in R. Written using distill for R Markdown.
This is the repository for the Virtual Meetings related to the #TidyTuesday challenge.
My personal note and solution to the exercises in R for Data Science by Hadley Wickham
Dashboard to explore adoption and effects of climate smart agriculture practices and services. Data collected by the CIAT though the geofarmer app.
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.
A data science blog. Run by Michael McCarthy.
🧐 Learning how to use R with #TidyTuesday project
Workshop: Intro to Data Wrangling & Visualization w/ R | Oct 21, 2019 @RLadiesELansing
Solutions for "R for Data Science" built with {workflowr}
Citizen-based mapping of paleosol/hydropedologic sequences using machine learning. The outputs contributed to the creation and management of a conservation area in Cerro Seco, southern Bogotá.
Code and plots for #tidytuesday challenge
Here is my reading notes of R FOR DATA SCIENCE, as well as my solutions to exercises in the book.
My contributions to the Tidy Tuesday Challenge