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Local Chapter project

Analyzing Crime Rates in Kansas, USA Using Machine Learning

Data VisualizationMachine LearningEDAData Analysis
Start date
June 22, 2023
Finish date
October 9, 2023
Project status
completed
Analyzing Crime Rates in Kansas, USA Using Machine Learning

Challenge background

The project aims to analyze crime rates in the state of Kansas, with the goal of identifying the most common crime areas in the state. The analysis will help people to avoid living in those areas, and the state can reinforce laws to tackle the problems. Kansas has a population of approximately 2.9 million people and is known for its agriculture, aviation, and energy production. However, like any other state, Kansas has its share of crime problems, which include property crimes such as theft, burglary, and motor vehicle theft, and domestic crimes too.

The problem

The project will use publicly available data from various sources such as the Kansas Bureau of Investigation, the Federal Bureau of Investigation, and other sources to analyze crime trends in the state. The analysis will include factors such as location, time, and type of crime to identify hotspots and patterns of criminal activity. The project will also examine the effectiveness of existing laws and enforcement strategies in tackling crime in the state. The insights gained from this analysis will be used to develop recommendations to improve crime prevention and law enforcement efforts in Kansas. Ultimately, the goal of the project is to help reduce crime rates in the state and improve the safety and well-being of its residents.

Goal of the project

  • Data collection on crime rate for the state of Kansas(may require web scraping).
  • Data pre-processing.
  • Exploratory data analysis.
  • Streamlit- web app development to present the insights.

Project timeline

  1. 1

    Week 1

    Research work and data collection

  2. 2

    Week 2

    Data pre-processing

  3. 3

    Week 3

    Data analysis

  4. 4

    Week 4

    Development of Streamlit web app to present insights

  5. 5

    Week 5

    Combine every collaborators findings and develop a final streamlit web app

What you'll learn

Data analysis, teamwork, data pre-processing, Streamlit, Python

Get involved

What to expect from a Local Chapter project

First project

  • Welcomes beginners and experienced practitioners.
  • Focuses on education and collaborative delivery.
  • Produces open-source project work.

Benefits

  • Address a significant real-world problem with your skills.
  • Build your project portfolio.
  • Demonstrate your work to organizations and project partners.

Requirements

  • Working English communication.
  • A learning mindset.
  • Commitment to collaborative project work.

This challenge is hosted by