Data Challenge Lab
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1
Setup
Coding basics
Code style
Tidy data
Data basics
Visualization basics
Manipulation basics
R Markdown basics
2
Discrete-continuous relationships
Basic pivoting
Other single-table verbs
Data structure basics
Exploratory data analysis (1D)
General strategy
ggplot2 calls
Getting help
3
Essentials of relational data
Scales
tidycensus
Function basics
String basics
Parsing basics
Factor basics
4
purrr basics
Exploratory data analysis (2D)
Column-wise operations
Scripts
Advanced pivoting
Distributions
Tidy evaluation
Project workflow
5
Date/time basics
Vector functions
Row-wise operations
Spatial basics
Continuous-continuous relationships
6
List-columns
Regular expressions
Time series
Census Bureau APIs
Model basics
7
purrr map with multiple inputs
Time spans
rvest
Model EDA
Spatial visualization
8
Parsing details
Model fitting
String details
9
Predicate functions
Other purrr functions
R Markdown presentations
Model evaluation
10
R Markdown workflow
ggplot2 extensions
Google Sheets
dplyr and databases
Learning more