Week 3

This session will be recorded

Today’s Agenda

• “Pull” the latest material by logging into JupyterHub (Class gitpuller link)
• Welcome to week 3!
  • Concerns? Questions? Gripes?
  • Office hours: schedule an appointment to chat with me
• Code review
• Hands on lab: Census data exploration in python using pandas

Assignments

Group Assignment #2: Census Data Exploration

For this group assignment, each group member will create and submit a separate Jupyter Notebook. Each notebook should choose census indicators that are relevant to your research project. For example:

• one group member may choose to do a race profile for Los Angeles, and the other member may choose to do the same race profile for New York
• one member may choose to do a transportation profile for Los Angeles, and the other member may choose an education profile also for Los Angeles
• each member may choose a different time period to do a temporal analysis.

Do not copy and paste the class lab. Make sure to start a brand new notebook.

If you are working on a project outside of the United States, consult with me to find an alternative dataset to explore.

1. The first cell of the notebook should be a markdown cell that includes a title, description, and author of the assignment.
2. Download census variables relevant to your research question (if you are working outside of the United States, consult with me to find an alternative dataset)
3. Create a Jupyter Notebook and use pandas/geopandas to explore and visualize the data
4. Produce several charts, including one or more maps
5. Make sure to document each procedure with markdown cells with relevant headers
6. Run the cells in the notebook, and make sure the notebook “reads” from top to bottom, telling a story
7. Upload each Jupyter Notebook along with the associated census data file to your group repo

Individual Assignment

Watch the following video clip of Rachel Levine:

• Rachel Levine on using Open Street Maps for humanitarian causes

Write a short reaction paragraph as a markdown readme file in your GitHub repo titled Week3_reading_assignment.md. You are free to write on whatever aspect of the presentation spoke to you. Some example reaction topics may be:

• Your thoughts on using open data for humanitarian causes
• Your thoughts on how open data can be used for different causes
• What do you think you (and your cohort) can do with open data to make this world a better place?

About Rachel

Rachel Levine is the Missing Maps Program Coordinator for the American Red Cross, where she has worked for the last 5 years. Before earning her MA in Activism and Social Change at the University of Leeds, she worked for the US Census Bureau. When she isn’t mapping she can be found hiking or hanging out in parks.