tutorial-tidyverse

Presentation on the tidyverse in R to clean and manipulate data

Table of Contents

• Prerequisites
• About Data
• Compile Presentation
• Packages within tidyverse
• Repository Structure
• License

Prerequisites

• R
• rmarkdown (to compile presentation)
• tidyverse

About Data

Data is a modified version found on @laderast's workshop on exploratory data analysis, ShinyEDA.

Compile Presentation

make

Packages within tidyverse

• broom (convert statistical objects to tidy data)
• dplyr (easily tidy data)
• forcats (work with categorical variables)
• ggplot2 (create elegant data visualizations)
• haven (import and export SPSS, Stata, and SAS)
• httr (work with URLs and HTTP)
• hms (pretty time of day)
• jsonlite (robust JSON parser)
• lubridate (deal with dates easier)
• magrittr (pipe character)
• modelr (modeling functions)
• purrr (functional programming)
• readr (read tabular data)
• readxl (read Excel data)
• stringr (manipulate strings)
• tibble (simple data frames)
• rvest (web scrapping tools)
• tidyr (easily tidy data)
• xml2 (parse XML files)

Repository Structure

.
├── data
│   └── all_data.xlsx
├── images
│   ├── cover.png
│   ├── data-science-communicate.png
│   ├── data-science-explore.png
│   ├── data-science.png
│   ├── data-science-wrangle.png
│   ├── datasetA.png
│   ├── datasetB.png
│   ├── rstudio-hex-purrr.png
│   ├── tidy-data.png
│   └── tidy-logos.png
├── Makefile
├── R
│   ├── broom.R
│   └── purrr.R
├── README.md
├── tidyverse.html
├── tidyverse.Rmd
└── tutorial-tidyverse.Rproj

3 directories, 18 files

License

This work is licensed under a Creative Commons Attribution 4.0 International License.