Team members:
Name | |
---|---|
Niccolo Nobili | NIN49@pitt.edu |
Maximus Hayes | MCH103@pitt.edu |
Emmett Hulser-Morris | EMH163@pitt.edu |
Final Project Group 96
- Pittsburgh Police Arrests | Maximus Hayes
This dataset contains data about police arrests in Pittsburgh
- Playgrounds | Niccolo Nobili
This dataset contains data about Pittsburgh's playgrounds
- Average Rent | Emmett Hulser-Morris
This dataset contains data about monthly rent in Pittsburgh neighborhoods
For more information, view respective notebook descriptions
For the final project you will work as part of a team to answer the question:
Using data from the WPRDC, you will create a data driven argument to support your claim about the โbestโ neighborhood in Pittsburgh.With your group members, you will be creating a Jupyter notebook to demonstrate your argument and the data analysis you did to support it. You will present your arguments to the class in the last two weeks of lab sections.
Maximus analyzed police arrest data and criminal activity in 96 Pittsburgh neighborhoods. He was able to obtain the amount of total and unique offenses in each neighborhood and created helpful visualizations for the rest of the team.
Niccolo analyzed data concerning 68 neighborhoods in Pittsburgh. He was able to indentify which neighbothoods had the most playgrounds and which had the least, correlating each quantity with the happiness metric the team used.
Emmett analyzed data concerning the rent in 91 Pittsburgh neighbohoods. He was able to calculate the average rent in each neighborhood and sort these into most and least expensive. He also created helpful visualizations to see the cost of rent in Pittsburgh.
bigideasfinal
+-- .gitgnore // gitgnore file for csv's (deprecated)
|
+-- safety.ipynb // Maximus' analysis of arrest dataset
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+-- playgrounds.ipynb // Niccolo's analysis of playground data
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+-- cost.ipynb // Emmett's analysis of cost of rent in Pittsburgh