📊 Stack Overflow Developer Survey — Data Analysis

🔍 Project Overview

Analyzed the Stack Overflow Developer Survey dataset (40,000+ respondents) to identify trends in developer compensation, experience, remote work, and technology usage.

The goal was to simulate a real-world data analysis scenario and extract actionable insights from survey data.

🔗 Interactive report (GitHub Pages)

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🛠 Tech Stack

• Python
• Pandas
• Jupyter Notebook

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📈 Analytical Focus

• Data cleaning and preprocessing
• Handling missing values
• Exploratory data analysis (EDA)
• Salary vs experience analysis
• Remote work trends
• Python adoption analysis
• Country-level aggregations

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📊 Key Insights

• Developers with more experience tend to have significantly higher compensation
• Remote work is widely adopted across multiple countries
• Python remains one of the most commonly used programming languages
• A large portion of developers rely on self-learning and online resources

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💡 Business Value

• Identified key factors influencing developer salaries
• Highlighted remote work trends across regions
• Provided insights into technology adoption (Python usage)
• Can support HR, hiring, and market analysis decisions

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📁 Project Structure

• Interactive report — live dashboard
• index.html — raw report file
• README.md — project documentation

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🚀 About

This project demonstrates practical skills in data cleaning, aggregation, and exploratory data analysis using Python (Pandas) on a real-world dataset.