CRIME INSIGHTS: Visualization and Analysis with Python

Laxmit Kaur Chana

Title:
CRIME INSIGHTS: Visualization and Analysis with Python

Authors:
Laxmit Kaur Chana

Cite This Article :

Laxmit Kaur Chana "CRIME INSIGHTS: Visualization and Analysis with Python" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025, pp.1356-1361, URL: https://www.ijtsrd.com/papers/ijtsrd79917.pdf

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Abstract :
The rise in crime rates across various regions has made it increasingly important to analyze and understand crime trends for effective law enforcement and policymaking. This project, "Crime Data Visualization and Analysis Using Python," aims to develop a system that enables the exploration, analysis, and visualization of crime-related data to identify patterns, trends, and anomalies. The system leverages Python libraries such as Pandas, Matplotlib, Seaborn, and Plotly to clean, process, and visualize crime datasets. It allows users to filter data by parameters like crime type, location, and time frame, enabling a deeper understanding of how crimes evolve over time and space. Advanced features like heatmaps, time-series graphs, and geographical mapping are included to provide a more intuitive and interactive user experience. The insights derived from this project can be used by law enforcement agencies, researchers, and policymakers to identify high-crime zones, predict future crime hotspots, and allocate resources more efficiently. Overall, this project demonstrates how data science and visualization can play a crucial role in enhancing public safety and strategic decision-making.

Keywords :
Python (NumPy, Jupyter Notebook), HTML/CSS, JavaScript, React.js

Publication Details:

Unique Identification Number : IJTSRD79917

Published In : Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025

Page Number(s) : 1356-1361

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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