Group members: Karina Alvarez, Douglas Packard, Karan Shah
Reintroduce our project.
- Question 1
- Question 2
- Question 3
- Question 4
- Question 5
- Question 6
Discuss how we got from the initial idea of the project and questions to what we ended up with. How we explored the data from Chicago Health Atlas to address the questions we settled on.
Describe how we analyzed the data in order to create visualizations and answer questions. Final visualizations go here.
Present answers to our questions based on visualizations and statistical analysis.
Wrap things up.
We decided to do our first data analysis project on mental health as a broad topic. We chose to study mental health due to its importance in society overall, and for people as individuals. As residents of the Chicago area, we were particularly interested in seeing what the data says about the socio-economic environment which has shaped our lives.
- What can the data tell us mental health in Chicago?
- What does the data tell us about school and community safety in Chicago?
- Is there correlation between suicide/mortality rates and Hardship Index (composite score of unemployment, age dependency, education, per capita income, crowded housing, and poverty)?
- How are physical health factors (lead poisoning, pollution, diet & exercise) related to mental health factors (Behavioral health treatment, drug/alcohol rates)?
- https://chicagohealthatlas.org/indicators
- https://chicagohealthatlas.org/indicators/HDX?topic=hardship-index
- https://chicagohealthatlas.org/indicators/YRSAFP?topic=school-safety-rate
- Karina: matplotlib, data visualizations, presentations
- Douglas: github, pandas
- Karan: API, project management
- All: Statistical analysis