R for Reproducible Scientific Analysis
-
Updated
Jun 4, 2024 - R
R for Reproducible Scientific Analysis
Data Analysis and Visualization in R for Ecologists - the version at https://github.com/datacarpentry/R-ecology-lesson-alternative will be merged on 8th July 2024
Programming with R
R for Social Scientists
Introduction to Geospatial Raster and Vector Data with R
Intro to R and RStudio for Genomics
Pacote que trata e organiza os dados do Cadastro Nacional da Pessoa Jurídica (CNPJ)
Introduction to R for Geospatial Data
D-Lab's 12 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.
R para Análisis Científicos Reproducibles
Data transformation and utility functions for R
D-Lab's 6 hour introduction to data wrangling with R. Learn how to manipulate dataframes using the tidyverse in R.
Clean datasets for 10 seasons of the English Premier League, including league tables, match stats, and head-to-head performances
Data wrangling & visualization quizzes for R users
Automatic transformation of untidy spreadsheet-like data into tidy form
Data Migration Code and Scripts for Wildlife Insights Data Providers
An alternative version of the Data Analysis and Visualization in R for Ecologists lesson - to be adopted into official curriculum on 8th July 2024
This is a Beta Repo for the Under construction Summer School
R package for working with semi-structured qualitative GIS data
Add a description, image, and links to the data-wrangling topic page so that developers can more easily learn about it.
To associate your repository with the data-wrangling topic, visit your repo's landing page and select "manage topics."