{"repo":"themrinal/Data-Analysis-Project","free":true,"listed":false,"github":"https://github.com/themrinal/Data-Analysis-Project","clone":"git clone https://github.com/themrinal/Data-Analysis-Project.git","description":"Exploratory data analysis of NCRB Crime in India 2020 dataset using Python, Pandas, Seaborn, and Matplotlib. Covers data cleaning, visualization, and statistical insights.","language":"Jupyter Notebook","stars":11,"topics":["crime-data-analysis","crime-statistics","data-analysis","data-analysis-project","data-science-project","data-visualization","exploratory-data-analysis","jupyter-notebook","matplotlib","ncrb"],"license":"MIT","category":"analytics","readme_excerpt":"Data Analysis Project with Python Crime Data Analysis of India 2020 A Python-based data analysis project using Jupyter Notebook to explore the NCRB Crime in India 2020 dataset. This project covers data cleaning, exploratory data analysis (EDA), and data visualization using Pandas , Matplotlib , and Seaborn . --- 📌 Table of Contents - Project Overview - Dataset Description - Prerequisites - Installation - How to Run - Tools & Libraries Used --- 📈 Project Overview This project analyzes crime trends across India using official NCRB data from 2020. The goal is to: - Clean and preprocess real-world data - Explore state-wise and crime-wise statistics - Visualize key insights using bar charts, heatmaps, and more - Understand regional trends and anomalies The Jupyter Notebook walks through the entire pipeline of data analysis from import to insight. --- 🗂 Dataset Description The dataset used is published by the National Crime Records Bureau (NCRB), Ministry of Home Affairs, India , and contains detailed records of reported crimes across Indian states and union territories for the year 2020. Key features: - Crime statistics by age - State/UT-wise distribution - Gender based breakdowns Source: ncrb.gov.in --- ⚙️ Prerequisites Before running this project, ensure you have the following installed: - Python 3.7+ - Jupyter Notebook - pip (Python package manager) Required Python libraries: - pandas - numpy - matplotlib - seaborn - openpyxl (for reading .xlsx files) You can install them vi","default_branch":null,"files":null,"tree":[],"storefront":"/r/themrinal","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/themrinal/Data-Analysis-Project/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}