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R
data
images
.gitignore
Makefile
README.md
tidyverse.Rmd
tidyverse.html
tutorial-tidyverse.Rproj

README.md

tutorial-tidyverse

Presentation on the tidyverse in R to clean and manipulate data

Table of Contents

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

.
β”œβ”€β”€ data
β”‚Β Β  └── all_data.xlsx
β”œβ”€β”€ images
β”‚Β Β  β”œβ”€β”€ cover.png
β”‚Β Β  β”œβ”€β”€ data-science-communicate.png
β”‚Β Β  β”œβ”€β”€ data-science-explore.png
β”‚Β Β  β”œβ”€β”€ data-science.png
β”‚Β Β  β”œβ”€β”€ data-science-wrangle.png
β”‚Β Β  β”œβ”€β”€ datasetA.png
β”‚Β Β  β”œβ”€β”€ datasetB.png
β”‚Β Β  β”œβ”€β”€ rstudio-hex-purrr.png
β”‚Β Β  β”œβ”€β”€ tidy-data.png
β”‚Β Β  └── tidy-logos.png
β”œβ”€β”€ Makefile
β”œβ”€β”€ R
β”‚Β Β  β”œβ”€β”€ broom.R
β”‚Β Β  └── purrr.R
β”œβ”€β”€ README.md
β”œβ”€β”€ tidyverse.html
β”œβ”€β”€ tidyverse.Rmd
└── tutorial-tidyverse.Rproj

3 directories, 18 files

License

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