Optimizing Crime Prevention in Montreal, Canada

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  Optimizing Crime Prevention in Montreal, Canada

Inspiration

We are all intrigued in crime analysis and possibly making a solution to mitigate crime in Montreal.

What it does

It shows where to allocate our resources of police officers in order to optimize crime prevention in Montreal, Canada.

How we built it

We utilized the Python libraries of Plotly and Pandas to visualize our data.

Challenges we ran into

We had problems creating a readable legend for the graphs since they were initially too small. We also had to find a way to gain context into the analysis of our dataset. Furthermore, we were new to Python's external libraries and we had to learn along the way of the project.

Accomplishments that we're proud of

We are proud of how we were able to visualize data using the Python libraries despite it was our first time utilizing the libraries. Furthermore, we are very proud of how conducive and hard working our team is.

What we learned

We learned how to interpret data that was given to us and also visualize it to produce an insightful hypothesis and also provide a solution to the problem that was provided to us. Furthermore, we also learned how to utilize Python external libraries.

What's next for our project

We're unsure about the next steps of our project

Built With

• python