by: Erin Dong, Jesse Kim, Tu Nguyen, Patty Panom

The problem that we are trying to solve is to predict the likelihood of a crime occurring in a given location and time in Seattle, using data on past crimes in the city. The data for this project will come from the Seattle Police Department website, and will include information on the location, time, and type of crimes that have occurred in the city. The data may also include other relevant information, such as the demographics of the area where the crime took place. The stakeholders in this problem include the Seattle Police Department, city officials, and residents of Seattle. Accurate predictions of crime likelihood can help the police department allocate its resources more effectively, and can help city officials and residents make informed decisions about their safety.

Link: https://data.seattle.gov/Public-Safety/SPD-Crime-Data-2008-Present/tazs-3rd5

The dataset for this problem comes from the Seattle Police Department's website and is titled SPD Crime Data: 2008-Present. Since all violations from 2008 to the present are documented on our website, we won't require any additional information to address our inquiries.

Interactive website showcasing bar graph and pie chart models with crime type data based on the time and area of Seattle Washington