🔍 EDA Python Project

Comprehensive Exploratory Data Analysis of Boston Housing Dataset

View on GitHub View Full Report

🚀 Project Features

Professional data analysis with automated report generation

📊
Comprehensive Analysis

Statistical analysis, correlation studies, and outlier detection

📄
HTML Reports

Professional interactive reports with embedded visualizations

🎨
Beautiful Visualizations

Distribution plots, correlation heatmaps, and statistical charts

🏠 Boston Housing Dataset Analysis

Deep dive into factors affecting housing prices including crime rates, accessibility, and socioeconomic patterns.

506

Properties Analyzed

14

Key Features

📈 Key Technologies
Python Pandas Matplotlib Seaborn Scikit-learn Bootstrap

🚀 Get Started

git clone https://github.com/Jaytech9/EDA-Python.git
cd EDA-Python
pip install -r requirements.txt
python main.py
View Source Code
PDF Document
Boston Housing Analysis Report
View Document Download
PDF Document
Insightful Analysis Report
View Document Download

📄 Full EDA Report

Boston Housing Dataset - EDA Report

Generated on 2025-09-18 01:09:48

📊 Dataset Overview

506

Total Records

14

Features

$36.96k

Average Price

🔍 Key Insights

📈 Top Positive Correlations

  • RM+0.519
  • INDUS+0.108

📉 Top Negative Correlations

  • CRIM-0.556
  • LSTAT-0.513
  • RAD-0.084

Correlation Heatmap

Correlation Heatmap

📊 Feature Distributions

Feature Distributions

🎨 Feature Relationships

Feature Relationships

Tareget Analysis

target_analysis

📦 Outlier Analysis

Outlier Boxplots