https://github.com/ropensci-training/user2016-tutorial

useR 2016 workshop materials for "Extracting data from the web APIs and beyond"
https://github.com/ropensci-training/user2016-tutorial

Last synced: 3 months ago
JSON representation

useR 2016 workshop materials for "Extracting data from the web APIs and beyond"

• Host: GitHub
• URL: https://github.com/ropensci-training/user2016-tutorial
• Owner: ropensci-training
• Created: 2016-04-13T02:31:58.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2016-12-22T23:16:03.000Z (almost 8 years ago)
• Last Synced: 2024-05-21T02:55:32.317Z (6 months ago)
• Language: R
• Homepage:
• Size: 48.9 MB
• Stars: 114
• Watchers: 16
• Forks: 39
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        

# Extracting data from the web APIs and beyond

__Instructors__: Karthik Ram, Garrett Grolemund and Scott Chamberlain  

No matter what your domain of interest or expertise, the internet is a treasure trove of useful data that comes in many shapes, forms, and sizes, from beautifully documented fast APIs to data that need to be scraped from deep inside of 1990s html pages. In this 3 hour tutorial you will learn how to programmatically read in various types of web data from experts in the field (Founders of the rOpenSci project and the training lead of RStudio). By the end of the tutorial you will have a basic idea of how to wrap an R package around a standard API, extract common non-standard data formats, and scrape data into tidy data frames from web pages.

__Background Knowledge__  

Familiarity with base R and ability to write functions.

__Requirements__  

R with latest versions of `httr`, `rvest`, and `curl`. It would also be helpful to have a recent release of R and RStudio

__Target Audience__  

Any R user with an interest in retrieving data from the web.

__Website for materials:__ All slides from the workshop are available as a [PDF](slides.pdf) in this repo.