In recognition of Juneteenth, there will be no class on Monday June 20th 2022. There is an assignment due before class to install software and we recommend completing HW 1 (uploading a screenshot showing that you finished the Dataquest module indicated below) before class, but all other assignments will be due July 1st. You are welcome to turn assignments in earlier if you wish.
Day Overview
| 8:30am - 9:30am |
Session 1 |
| 9:30am - 9:40am |
Break |
| 9:40am - 10:40am |
Session 2 |
| 10:40am - 10:50am |
Break |
| 10:50am - 11:50am |
Session 3 |
Detailed Schedule + Materials
| Day 0 |
Homework 1 |
|
Dataquest |
|
|
| Day 1 |
Intro |
HTML, PDF |
Rmd |
|
Day 1 Cheatsheet |
|
RStudio |
HTML, PDF |
Rmd |
Lab, Key, Key HTML |
|
|
Reproducibility |
HTML, PDF |
Rmd |
|
Good scientific coding practices |
| Day 2 |
Basic R |
HTML, PDF |
Rmd |
Lab, Key, Key HTML |
Day 2 Cheatsheet |
|
Data IO |
HTML, PDF |
Rmd |
Lab, Key, Key HTML |
Debugging tips guide |
| Day 3 |
Subsetting Data in R |
HTML, PDF |
Rmd |
Lab, Key, Key HTML |
Day 3 Cheatsheet |
|
Homework 2 |
|
Rmd, HTML, Key, Key HTML |
|
|
| Day 4 |
Data Summarization |
HTML, PDF |
Rmd |
Lab, Key, Key HTML |
Day 4 Cheatsheet |
|
Data Classes |
HTML, PDF |
Rmd |
Lab, Key, Key HTML |
|
| Day 5 |
Data Cleaning |
HTML,PDF |
Rmd |
Lab, Key, Key HTML |
Day 5 Cheatsheet |
|
Homework 3 |
|
Rmd, HTML, Key, Key HTML |
|
|
| Day 6 |
Manipulating Data in R |
HTML, PDF |
Rmd |
Lab, Key, Key HTML |
Day 6 Cheatsheet |
|
Intro to Data Visualization |
HTML, PDF |
Rmd |
Lab, Key, Key HTML |
|
| Day 7 |
Data Visualization |
HTML, PDF |
Rmd |
Lab, Key, Key HTML |
Day 7 Cheatsheet |
|
Factors |
HTML, PDF |
Rmd |
Lab, Key, Key HTML |
|
| Day 8 |
Statistics |
HTML, PDF |
Rmd |
Lab, Key, Key HTML |
Day 8 Cheatsheet |
|
Project Guidelines |
HTML, Rmd |
Example RMD, Example HTML |
Instructions |
|
| Day 9 |
Functions |
HTML, PDF |
Rmd |
Lab, Key, Key HTML |
Day 9 Cheatsheet |
|
Project Guidelines |
HTML, Rmd |
Example RMD, Example HTML |
Instructions |
|
Module Details
Day 0 (before the first session) - Homework 1
Day 1
- Introduction
- RStudio
- Reproducible Research
Day 2
- Basic R: Variables/Objects in R
- Data Input/Output
Day 3
- Subsetting Data
- Discuss Homework 2 - work on Homework 2 in class if there is time
Day 4
- Summarization
- Data Classes
Day 5
- Data Cleaning
- Discuss Homework 3 - work on Homework 3 in class if there is time
Day 6
- Data Manipulation
- Data Visualization with Esquisse
Day 7
- Data Visualization Continued
- Factors
Day 8
- Statistics
- Discuss and work on Final Project
Day 9
- Functions
- Work on Final Project