JA Data Science Cookbook
1
Introduction
2
Setting up a Project
2.1
Git & GitHub
2.2
File Structures
2.2.1
Shiny Apps
2.2.2
Analysis/Report Projects
2.3
Commenting Standards
2.3.1
Shiny Apps
2.3.2
Analysis/Report Projects
2.4
Config/Passwords
3
Data Cleaning
3.1
Data Import
3.2
Data Cleaning
4
Mapping & Spatial Analysis
4.1
Setup
4.2
Reading shapefiles
4.3
Cleaning shapefiles
4.4
Mapping your data
4.5
Point-in-polygon analysis
4.6
Polygon-in-polygon analysis
5
Data Pipelines
6
Shiny Dashboards
7
Data Analysis & Modeling
8
Web Scraping
9
Data Visualization
9.1
ggplot()
9.2
highcharter()
9.3
ggplot()
vs
highcharter()
9.4
Custom Themes
9.5
jastyle()
9.5.1
jastyle::theme_ja()
for
ggplot()
10
Reporting
11
Project Index
Published with bookdown
JA Data Science Cookbook
Chapter 5
Data Pipelines
David
AWS, googlesheets, github, heroku