Greeting once again, data science community. I’m now sharing my seventh guided project for the DQ Data Scientist in Python Path.
This project became much larger and took much more effort than I originally planned to. I drew inspiration from other guided projects I saw shared by the community. Since this is notebook is rather voluminous, I was not able to review the code and the writing thoroughly. I would appreciate any feedback so I can: (1) improve my future projects, and (2) correct the errors in this project.
In relation to this project, I would like to note that there is a mistake in the instructions/prompts provided in the DQ screen for this guided project. Link to the screen below:
If you read the prompt, it states that we use class attendance data. However, the data sets in the project actually do not use said class attendance data. Rather, it uses the high school directory data. DQ may want to correct this as to avoid unintended confusion for learners.
Link to the last screen of the guided project below:
gp07_analyzing_NYC_high_schools_and_SAT_scores.ipynb (1.6 MB)
Click here to view the jupyter notebook file in a new tab