Data-Analysis-of-Chicago-Streets

Using Julia, we analysed data from the streets of Chicago

The csv files we used were found in the following links respectively: https://data.cityofchicago.org/Service-Requests/311-Service-Requests-Vacant-and-Abandoned-Building/7nii-7srd https://data.cityofchicago.org/Service-Requests/311-Service-Requests-Street-Lights-All-Out-Histori/zuxi-7xem

We were inspired by the heavy crime rate in Chicago. Therefore, we tried using mathematical tools of graphical representation and probability to try and predict the probability of crime occurring in the streets of Chicago using some conditions currently limited to the data for lighting outage and abandoned buildings.

We built it using Julia and documented and plotted graphs and tables on Jupyter-notebook. We imported csv files for the data on the abandoned buildings and lighting outages.

We faced challenges regarding animating the graphs and plotting the map on jupyter-notebook as the .osm file for the Illinois map very large and was not able to load and execute on time for the hackathon.

Built With

• csv
• html
• julia
• jupyter-notebook