README.md

python-stockton-pd-responses

Stockton PD Responses

This project is an overview of how safe the areas in Stockton CA are. The dataset that I obtained is from the Stockton County Website. The original dataset spanned from 2019 - June 2024. The file size was massive and I thought it would make sense to focus on 2023 - June 2024.

Technologies Used

Excel, Python, SQL, and Amazon QuickSight.

EDA and Data Cleaning

You can checkout the python notebooks to see how I cleaned and explored the data. It is detailed with the steps I took.

SQL

All the data

SELECT COUNT(*) FROM data_final;

// *********************************************************************************** //

Amount of responses from 2023: 449038

SELECT 
  COUNT(*)
FROM data_final
WHERE call_entry_date <= '2023-12-31';

// *********************************************************************************** //

Amount of responses from 2024: 205850

SELECT 
	COUNT(*)
FROM data_final
WHERE call_entry_date >= '2024-01-01';

// *********************************************************************************** //

DISTRICT_COUNT	DISTRICT_NAME
181484	CIVIC
108081	LAKEVIEW
96621	SEAPORT
93007	VALLEY OAK
88484	PARK

SELECT 
	COUNT(*) AS DISTRICT_COUNT, district_name
FROM data_final
GROUP BY district_name
LIMIT 5;

// *********************************************************************************** //

Visualizating the Data

You can go through the following pdf walkthrough that I put together.

amazon-quicksight-project-analytics.pdf

The Finished Dashboard

The conclusions that we can draw from what is presented is the following:

• 654,888 from 2023 - June 2024 and counting
• Bear Creek and SJC are the two districts with the least amount of police presence
• Top Three reasons for police calls are 911 hangups, ambulance requests, and disturbing the peace
• Year over Year SJC and Bear Creek have kept a low police call count