πŸ“‰ R4DEV πŸ“ˆ

More fiction is written in Excel than in Word

Author
Affiliation

Nelson Amaya D.

OECD | IOM

Welcome!

πŸ“‰ R4DEV πŸ“ˆ is designed to teach you how to do reproducible data analysis and visualisation using R and RStudio1. You will learn to handle and import online data, to make all sorts of plots, maps and animations, and even create apps and websites using free open-source tools. Check out all the things you can expect to learn.

The workshop is committed to work with the tidyverse2.

All progress is piecemeal, so the workshop is in permanent state of improvement. Make sure you check the website regularly for updates, new material and corrections.

Cheat sheets for

Download the RStudio cheat sheets and keep them close!

Sessions πŸ“Š

Blogging with Quarto πŸ““
5 min
Learn to work with Quarto, to write prose and analise data at the same time. Create and update a blog using Quarto and then publish it online using Netlify
Jul 30, 2022

Everything in its right place 🎼
29 min
Learn how get information from APIs, and create interactive visualisations of historical GDP and Spotify songs using ggplot2, plotly and ggiraph.
Jul 31, 2022

Data from words πŸ“š
37 min
Import, clean, tokenise and stem text, plus do sentiment analysis, topic modelling and learn how functions in R make your work so much easier.
Jul 31, 2022

Making data move 🚢
18 min
Transform static plots into animations using gganimate. Examples include millenia of chery tree blossoms, COVID-19 aftermath and why causation does not imply correlation.
Jul 31, 2022

Mapping despair in the USA πŸ—ΊοΈ
28 min
Learn how to find, download and visualise spatial data. We’ll create static and interactive maps using ggplot2 and leaflet, using data on the opioid epidemic in the United…
Jul 31, 2022

Just take it 🌏
12 min
Sometimes you need to bring data straight from a website. Scrape IMDb movie rankings, U2 lyrics and untranslatable words.
Jul 31, 2022

Make it shine 🌟
38 min
These are the best sessions, bringing together all the tools from previous sessions to create interactive apps. You’ll learn how to build and publish Shiny dashboards and…
Jul 31, 2022

Smart reports 🧠
8 min
Create parametrised reports and learn to work with references using Zotero.
Jul 31, 2022
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Tools πŸ› οΈ

Footnotes

  1. Thanks to ZΓ©lie, Rebecca, Rossana, Romane, Emma, Shivona and others who tested, often with their patience, earlier versions of this workshop.β†©οΈŽ

  2. The tidyverse is a collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures. Install the complete tidyverse with: install.packages("tidyverse"). If you prefer base R code, suit yourself but I do not recommend it.β†©οΈŽ