Project Goals

• Visualize Crime Data: Present Toronto’s auto theft data in a way that makes it easy for users to understand trends and patterns in different regions.
• Enable Detailed Analysis: Provide interactive filters and views for users to explore data by time period (year/month), location type, and police division.
• Raise Public Awareness: Help the public and authorities gain better insight into the rising trends of auto theft in Toronto through accessible data visualizations.

Data Acquisition and Processing

This dashboard is powered by open data from the Toronto Police Service. The data is available for download from the Toronto Police Service’s Auto Theft Open Data portal (Link to Data).

Data cleaning and structuring were conducted to ensure consistency across various premises and location types before loading it into Tableau for visualization.

• Yearly and Monthly Trends: The dashboard allows users to view auto theft statistics by year and month, making it easy to spot increases or decreases in theft incidents over time.
• Location Types: Incidents are categorized by location type (e.g., house, commercial, street) to provide insights into where thefts are most likely to occur.
• Premises Type: It also breaks down the data by premises type (e.g., single-family homes, parking lots, commercial buildings), offering a deeper understanding of the environments that are most affected.
• Police Division Analysis: Users can explore the data by police division, seeing which areas have the highest number of reported auto thefts.

The dashboard allows users to drill down into details, filtering by date, location, and premises type for a clearer understanding of patterns.