wd810 / toronto-crime-analysis

An analysis of Toronto crime data and correlations with various census metrics.

Project Title: Toronto Police Crime Data Analysis

Team Members: Dalia, Dian, Tigran, Sue

Description: This project aims to analyze crime data of Toronto city using Toronto police datasets and Canada stat data sets. The project will be required to answer the following questions:

1. What are the most common crimes in Toronto?
2. Which neighborhoods experience the highest crime rates in Toronto?
3. What is the education and income level of the people living in neighbourhoods where most crime is reported? Is there a correlation?
4. What time of the year the frequency of crime is highest? Does it has anything to do with time of the day?....
5. In which premise types do more crimes occur?
6. Which area/highway is most prone to accidents/collisions in Toronto ?

Data sets:

1. Toronto Police - Major Crime Indicators API: http://data.torontopolice.on.ca/datasets/mci-2014-to-2017

2. Toronto Police – Serious/Fatal Traffic Incidents API: http://data.torontopolice.on.ca/datasets/ksi

3. Stats Canada Census Profiles API: https://www12.statcan.gc.ca/wds-sdw/cpr2016-eng.cfm

4. Toronto neighborhood profiles: https://www.toronto.ca/city-government/data-research-maps/open-data/open-data- catalogue/development-and-infrastructure/#7d273426-6067-33f4-8e8b-c8c8dda76412 (edited)

Tecnologies Used:Python, Pandas, Numpy, Matplotlib, Plotly.