Texas Public Schools Effectiveness Study

An exploratory data analysis of financial (PEIMS) and performance data (STAAR).

Project Description

Research Question: Can we predict the effectiveness of a public school district based solely on the research data?

H0 - The effectiveness of a public school district cannot be predicted.
H1 - The effectiveness of a public school district can be predicted with an RMSE score of no more than 0.5.

Other questions:

• What are the top performing districts?
• What financial profile is associated with top performing districts?
• What are the most effective districts?
• What financial profile is associated with the most effective districts?

Data Sources

Financial Data

• Download page

Academic Performance Data

• Download page

Ethnicity

• Download page

Usage

Written in Python 3.9.9. Packages used:

• notebook
• pandas
• matplotlib
• seaborn
• scipy
• scikit-learn
• dtale
• sweetviz
• xgboost
• shap

Meta

Ednalyn C. De Dios – @ecdedios

Distributed under the MIT license. See LICENSE for more information.

• LinkedIn: in/ecdedios/
• Resumé: http://ednalyn.com
• Data Science Projects https://datasciencenerd.us

Contributing

1. Fork it (https://github.com/ecdedios/texas-public-schools-effectiveness/fork)
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -am 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request

2023