


- Description
-
To Serve and Protect.
“We are dedicated to delivering police services, in partnership with our communities, to keep Toronto the best and safest place to be.”
Core Values:
- Service at our Core
- Do the right thing
- Connect with Compassion
- Reflect and Grow - Year established
- 1834
- Company website
- http://www.torontopolice.on.ca/
- Industries
- Defense & security Government
Socials
Recent projects
Data visualization improvement
The Toronto Police Service (TPS) is undergoing continuous improvement efforts to enhance confidence and strengthen ties with our society by providing access to open data for public safety in Toronto. The Service would like students to recommend potential improvements of data visualization available on the Toronto Police Service’s Public Safety Data Portal (PSDP). Students can choose at least one visualization (map or dashboard) to : 1) Derive insights for the development of new visualizations for PSDP such as analytic dashboards, interactive visual exploration, heat maps that would enhance the “analytics journey” of users 2) Development of mock-up solutions that would expand the usage of data visualization by the public 3) Thorough ability to conduct and recommend ways to visualize analytics and tell a story would be a plus 4) Delivery of a final report and/or presentation of recommendations All maps can be found here: http://data.torontopolice.on.ca/pages/maps All data analytics visualizations can be found here: http://data.torontopolice.on.ca/pages/data-analytics
Data visualization improvement
The Toronto Police Service (TPS) is undergoing continuous improvement efforts to enhance confidence and strengthen ties with our society by providing access to open data for public safety in Toronto. The Service would like students to recommend potential improvements of data visualization available on the Toronto Police Service’s Public Safety Data Portal (PSDP). Students can choose at least one visualization (map or dashboard) to : 1) Derive insights for the development of new visualizations for PSDP such as analytic dashboards, interactive visual exploration, heat maps that would enhance the “analytics journey” of users 2) Development of mock-up solutions that would expand the usage of data visualization by the public 3) Thorough ability to conduct and recommend ways to visualize analytics and tell a story would be a plus 4) Delivery of a final report and/or presentation of recommendations All maps can be found here: http://data.torontopolice.on.ca/pages/maps All data analytics visualizations can be found here: http://data.torontopolice.on.ca/pages/data-analytics
Insights and recommendations to decrease an MCI
The Toronto Police Service (TPS) is undergoing continuous improvement efforts to enhance confidence and strengthen ties with our society by providing access to open data for public safety in Toronto. The Service would like students to examine Major Crime Indicators (MCI) data* available on the Toronto Police Service’s Public Safety Data Portal (PSDP), in order to conduct: 1) Exploratory Analysis of one particular crime type from the MCI dataset (Homicide, Robbery, Assault, Theft Over, Auto Theft, Break & Enter) 2) Insights of main crime tendencies and correlations with demographics, other MCIs, temporal data (time of day, day of week), and other factors 3) Final report and/or presentation of recommendations to decrease the crime rate and enhance crime prevention of the selected MCI *Consideration to be given on the use of text mining of street names and free form notes MCI Data can be found at http://data.torontopolice.on.ca/datasets/mci-2014-to-2019
Correlation between Major Crime Indicators and Twitter trends
The Toronto Police Service (TPS) is undergoing continuous improvement efforts to enhance confidence and strengthen ties with our society by providing access to open data for public safety in Toronto. The Service would like students to research and develop correlation models for the one of the MCI data sets (Homicide, Robbery, Assault, Theft Over, Auto Theft, Break & Enter) available on the Toronto Police Service’s Public Safety Data Portal (PSDP) and Twitter Streaming API, in order to : 1) Investigate potential relationships between that MCI and historical tweets and trending hashtags 2) Derive insights and patterns 3) Build predictive analytics models 4) Deliver a final presentation and/or report of findings and recommendations MCI Data: http://data.torontopolice.on.ca/pages/major-crime-indicators Homicide Data: http://data.torontopolice.on.ca/datasets/homicide-1
Latest feedback
Project feedback


Project feedback



Project feedback

