Webscraping and Data Visualization using R

Webscraping is a technique to extract certain information from websites to a structured format for analysis. This workshop gives a basic guide to get started on webscraping. We will use the acquired data to demonstrate visualization analysis in R.

Prerequisites: basic to intermediate level of R

Pre-Installed Software/Apps Required: 

• Rbase/R Studio
• Google Chrome
• Selector Gadget chrome extension  (How to install)

Pre-Installed R Packages:

1. rvest
2. dplyr
3. tidyverse
4. tidyr
5. stringr
6. purrr
7. ggplot2
8. cowplot
9. janitor

Audience: open to anyone interested to scrape data from the web