Basics of R, SQL & Web Scraping
2021-05-29 23:42:28
1 Topics Included in This Book :
- Introduction and Intermediate R
- Introduction to the Tidyverse, Data Visualization with ggplot2
- Categorical & Quantitative Data
- Cleaning, Joining and Data Manipulation(Basic Feature Engieering)
- Introduction to SQL
- Joining Data in SQL
- Web Scraping in R
- Simple Linear Regression , Multiple Linear Regression
- Dummy Variable, Fixed Effects, Difference-in-Differences
Note To Self:
Make sure to open _bookdown.yml and update the 3 URLs to replace “YOUR REPO NAME” with the name of your repo.
The first file in bookdown is always index.rmd (and the resulting output file, index.html, is the first file GitHub pages will display). Thus, this must be the first file of your book. You can use this first chapter however you want. I suggest adding additional notes that don’t fit specifically in other parts of your book.
Note that you can cross-reference headings (and sub-headings, and 3rd level headings, etc). For example, here’s a cross-reference to the Intermediate R chapter: Intermediate R. You can also cross-reference with a custom name, such as this is a link to the Intermediate R chapter.1