Eli Saracino ([email protected]) and Kylie Moses ([email protected])
This directory contains each of the IPython notebooks used to collection, manipulate, and visualize our data analysis for the project. The 'datasets' subdirectory contains each of the datasets used by our notebooks, including any modifications made through our work (i.e. webscraping, joining, etc.). Below are brief descriptions of each of these files.
Linear-Analysis-FIOs.ipynb: Contains the data manipulation and visualization used to compute the linear regression results explained in the Final Report
FIO_Clustering.ipynb: Contains the data manipulation, visualization, and several types of clustering to compute the clusters described in the Final Report
Crime-Incident-Reports.ipynb: Contains our preliminary analysis of the Crime Incident dataset, but also includes some comparisons with the FIO dataset through 2012-2015 as well.
Census_Data.ipynb: Contains the Pie charts used to convey racial compositions within Boston neighborhoods.
FIO-Data-Analysis: Contains the data manipulation and visualization for our preliminary analysis of the FIO dataset, as well as some brief comparisons with the Crime-Incident Dataset, and statistics regarding each.
FIO_Location_Scraper.ipynb: Contains the script used to scrape the web for latitude and longitude information relevant to the FIO datasets.
Maps.ipynb: Contains the code that computed the Graphs of crimes in the Boston Area.
datasets/bpd-field-interrogation-and-observations-reports.csv: Contains the main FIO dataset used, containing FIOs reported by the BPD between 2012 and June 2015. Webscraping provied the lat/long attributes seen.
datasets/crime_incident-reports-2012-2015.csv: Contains the main Crime dataset used, containing crimes reports by the BPD between 2012 and 2015.
datasets/stop_and_frisk.csv: Contains a supplementary dataset provided by the ACLU of comprehensive FIO reports throughout 2015. The two csvs provided have been joined on the FC_NUM field.
datasets/FIO_data.csv: A version of the 'bpd-field...' dataset in which we have web scraped for latitude and longitude information.