Qualitative Data and Analytic Tools
Week 2
Overview
- Introduction to Qualitative Data
- Analytic Strategies
- Cross-Disciplinary Research Collaborations
- Types of qualitative data
- Intro to Amy’s project/data
- Basic syntax of R - focus on categorical data
- Create objects
- Differentiate data types
- Understand logical comparisons
- Use the pipe to chain commands together
- Access variables in a data frame
Prepare
- Read/watch 📗Math 130 (1.2-1.5)
- Get your code along files.
- Log into JupyterHub (will go through SSO)
- Launch Server
- Open RStudio
- In the “Files” pane (lower right corner) Navigate into the “shared/Donatello Wicked” folder
- Click the box next to
01-intro_r_codealong.qmd, then “More” and “Copy To”- Click the word “Home” to go back up to your home (root) folder
- Replace the word
codealongin the file name with your username (first part of your email). - e.g.
01-intro_r_rdonatello.qmd - repeat for
02-wwd_codealong.qmd
- Return to your home directory to access your copy of the file.
Materials
Assignments
- Complete both code alongs, render to PDF and submit to Google Drive by EOW.
This is the last time the instructions to get your files will be this detailed
Part 1: Introduction to Qualitative Data
See Amy’s notes
Part 2: Basic syntax of R - focus on categorical data
We’ll start by working together through these lessons together in class. These lessons generally follow specified sections in Math 130. I have cut out selected content that we will cover in a different way later on. There are walk through videos on the Math 130 website so if you need to go back because you missed something you can do so.
Getting Started with R
- Math 130 Chapter 3.1-3.5
- Code along 01-intro_r
Working with Data
- Math 130 Chapter 3.6, 4.1.1, 6.1, 6.2
- Code along 02-wwd
We won’t finish both today, so it is your responsibility to finish the rest this week, render and submit completed notes as PDF to the Class activity submissions folder in Google Drive by Friday.