Detroit Project

Project Leads: Benjamin Collins, Renee Li

Team Members:



A Note On Names...

When we first embarked on this project, we called it "Improve Detroit Issues" after the dataset we were using. We quickly realized the name was problematic, both in its broad use of the word issues and the implication that Detroit can be so easily improved. Especially with the city's complicated history, we wanted to be careful with our project name. After some brainstorming and initial investigations into our dataset, we settled on the name of the Detroit Project.


The city of Detroit bought access to the 311 ticketing system in an attempt to streamline its citizen's ability to report city issues. This app allows each person to profile each issue they encounter by the issue type, location, and a written comment among other details. Detroit has continuously compiled these reports since 2016 and released them to the public in an effort to get crowd-sourced feedback on how they can improve their city maintenance.

What We Did

The big idea was to first of all be responsible with out investigations and secondly to see what we could learn about the city of Detroit by applying various models and methods to the dataset.


This dataset pertains to real people and should be treated as such. In practice, if this dataset was used to draw conclusions upon irresponsible practices, our findings could have a desperate impact on the city's people. We should do our best to avoid making assumptions about the data, the people, or the city to ensure this. Additionally, for further review and crosschecking, we should be as transparent as possible.


Looking into our data during EDA, our goal is to discover as many insightful trends as possible to guide our further inquiries. This allows us to contextualize findings in the end to make sure they have a more tangible conclusion.


In the end, we intend to apply a variety of models to our dataset to answer interesting/important questions about the city. These should be developed such that they are useful and applicable to those that would use them such as the citizens of Detroit or city officials, for example.

What we Found

EDA Findings


Why it matters