We will be analyzing data from the Boston Police Department FIO (Field Interrogation and Observation) Study, a large collection of data containing information about each individual occurence in which any person was interrogated by the Boston Police Department. This counts the times individuals are interrogated by police and arrests do not necessarily have to be made.
Many categories of information about the people that were interrogated is provided, such as their location and what clothing they wore are given. However, we are focusing on sex, race, age, and the year in which the arrest occured in this project, to analyze if there are differences between different demographics of people and how often they are interrogated.
The data is recent as it was collected from December 2012 to May of 2015, as for the kind of analysis we are conducting, the information used must be relevant to today.
Link to Boston Police Department FIO Study Data
Presented as a Shiny app to display interactive visual representations of our dataset as well as an overall analysis of what we found
Michael Lew:
- Data Wrangling: Manipulating the data in ways that represent what we are trying to show
- Calculation of Summary Statistics so that they may be analyzed, Writing helper functions
Jacob Burke:
- Data Analysis: Analyzing the summary statistics to draw conclusions and present them in a relevant way
- RMD Page content for the overall summary to be integrated into the Shiny App
Kush Gupta:
- Shiny application development: Serverside and Clientside content: Layout and Rendering of Plots
- Integration of Data Analysis summary into Shiny App, Overall code revision
Jon Jewik:
- Shiny application development: Serverside and Clientside content: Interactive functionality
- Data Analysis: Use of external media to provide further evidence for data analysis we have conducted
Link to Shiny app: https://bluek7.shinyapps.io/Crimes-in-the-City-of-Boston/