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
Rrmarkdown(to compile presentation)tidyverse
Data is a modified version found on @laderast's workshop on exploratory data analysis, ShinyEDA.
makebroom(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)
.
├── 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
This work is licensed under a Creative Commons Attribution 4.0 International License.
