Dataset Title: Tracking Louisville Crime

Data Journalist: Marresa Burke (423)443-5434, marresa.burke@gmail.com

Overview:

This project analyzes the Louisville Metro Police Department's records for kids aged 13 to 17 who have been arrested for serious crimes such as murder, rape, burgulary, possession of a gun, etc. The findings from this analysis can used as a tool for non-profits and group violence intervention programs to target their efforts for specifc age groups, monthly trends, and find additional preventative measures.

File Naming Convention: Agency_SummarizationOfDataSet_YearRange.csv This name system identifies where the data came from, general information the set contains and the time period.

Some information in the data is privileged/or connected to the department's internal filing system. This project merges two data sets that contain different details about the teens arrests. The cleaning process included searching for blanks, filtering by date, removing unwanted columns, finding totals by month and sorting.

Visualization

The data sets show the trends and relationship between gun arrests vs. total of serious crimes like murder, possession of a gun, assault, rape, bugulary, etc. https://public.tableau.com/views/TrackingTeenCrimeData/Dashboard1?:language=en-US&:sid=&:redirect=auth&:display_count=n&:origin=viz_share_link

Instructions:

Clone the repo to your machine.
Create a virtual environment and install the packages in the requirements.txt(instructions below).
Run the python file. python3 youthcrimes.py or python youthcrimes.py

Virtual Environment:

After you've cloned the repository to your computer, navigate to your folder in your Terminal.
Create a virtual environment in the project folder. python3 -m venv venv or python -m venv venv
Activate the virtual environment. source venv/bin/activate or source venv/Scripts/activate
Install the required packages. pip install -r requirements.txt
When you are done, deactivate the virtual environment.

Notes Through Exploration