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📊 Exploratory Data Analysis (EDA) Projects Portfolio

Real-world Exploratory Data Analysis projects using Python, Statistics, and Data Visualization techniques to discover meaningful insights from real-world datasets.

Python Pandas NumPy Matplotlib Seaborn Plotly Jupyter

🚀 About This Repository

This repository contains multiple Exploratory Data Analysis (EDA) projects performed on datasets from different domains such as healthcare, education, aviation, insurance, employee analytics, tourism, and app analytics.

These projects focus on:

  • Data Cleaning & Preprocessing
  • Statistical Analysis
  • Exploratory Data Analysis (EDA)
  • Data Visualization
  • Trend & Pattern Discovery
  • Business Insight Generation

All datasets used in these projects are sourced from Kaggle.

📈 Portfolio Statistics

  • Total Projects: 9
  • Domains Covered: 8+
  • Visualizations Created: 200+
  • Datasets Analyzed: 9
  • Python Libraries Used: 8+

📂 Repository Structure

EDA-Projects/
│
├── GooglePlaystore_EDA/
├── HR_Analytics_EDA/
├── Heart_Disease_EDA/
├── Insurance_EDA/
├── Flight_Price_EDA/
├── Kidney_Disease_EDA/
├── Student_Performance_EDA/
├── Travel_EDA/
├── US_Visa_EDA/
│
└── README.md

📌 Business Problems Solved

These projects analyze real-world business and analytical problems such as:

  • Understanding customer behavior patterns
  • Employee attrition analysis
  • Healthcare risk analysis
  • Flight price trend analysis
  • Insurance charge analysis
  • Student performance insights
  • Travel behavior analysis
  • App rating and install analysis
  • Visa approval trend analysis

📂 Projects Included

Project Domain Key Analysis
📱 Google Playstore Data Analysis App Analytics Ratings, Reviews & Install Trends
💼 HR Analytics Data Analysis Employee Analytics Employee Attrition Analysis
❤️ Heart Disease Data Analysis Healthcare Health Risk Analysis
🏥 Insurance Data Analysis Insurance Insurance Charges Analysis
✈️ Flight Price Data Analysis Aviation Flight Price Trend Analysis
🎓 Student Performance Analysis Education Student Score Analysis
🌍 Travel Dataset Analysis Travel & Tourism Travel Pattern Analysis
🩺 Kidney Disease Analysis Healthcare Medical Data Exploration
🇺🇸 US Visa Data Analysis Immigration Visa Approval Trends

📊 Analysis & Techniques Applied

Across these projects, several analytical techniques were applied, including:

  • Data Cleaning & Preprocessing
  • Missing Value Handling
  • Exploratory Data Analysis (EDA)
  • Descriptive Statistical Analysis
  • Univariate Analysis
  • Bivariate Analysis
  • Multivariate Analysis
  • Correlation Analysis
  • Feature Relationship Analysis
  • Trend Analysis
  • Outlier Detection
  • Pattern Discovery
  • Data Visualization

🛠️ Libraries & Technologies Used

📌 Python Libraries

Pandas
NumPy
Matplotlib
Seaborn
Plotly
Bokeh
Scikit-learn
SciPy

📌 Development Environment

Python
Jupyter Notebook

🔄 Project Workflow

Dataset Collection
⬇
Data Cleaning & Preprocessing
⬇
Exploratory Data Analysis
⬇
Statistical Analysis
⬇
Data Visualization
⬇
Pattern Discovery
⬇
Business Insight Generation

📸 Project Visualization Gallery

📱 Google Playstore Analysis

image image image

💼 HR Analytics Dashboard

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✈️ Flight Price Analysis

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🏥 Insurance Data Analysis

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❤️ Heart Disease Analysis

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🩺 Kidney Disease Analysis

image image image image image image

🎓 Student Performance Analysis

image image image

🌍 Travel Dataset Analysis

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US Visa:

image image image image image

🚀 Key Skills Demonstrated

  • Exploratory Data Analysis
  • Statistical Data Analysis
  • Data Cleaning & Preprocessing
  • Data Visualization
  • Correlation Analysis
  • Feature Engineering
  • Business Insight Extraction
  • Real-World Dataset Handling

🌟 Repository Highlights

✅ Multiple Real-World Datasets
✅ Domain-Based EDA Projects
✅ Statistical & Visual Analysis
✅ Interactive Visualizations
✅ Business Insight Generation
✅ Professional Data Analysis Workflow

👨‍💻 Author

Ramesh Kumar

B.Tech – Artificial Intelligence & Data Science

Aspiring Data Scientist | Data Analyst | Power BI Enthusiast

⭐ Support

If you found these projects useful, consider giving this repository a ⭐.

Aspiring Data Scientist