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Employee Attrition Analysis
Exploratory Data Analysis on Employee Attrition Dataset
Overview
This project performs an in-depth exploratory data analysis (EDA) on a longitudinal employee attrition dataset containing yearly employment records. The analysis focuses on understanding workforce structure, attrition patterns, demographic distributions, departmental trends, and resignation behavior over time. Multiple statistical summaries and visualizations were used to extract insights related to employee age, gender, department, job roles, business units, and termination reasons.
Project Goal
To analyze employee attrition trends and workforce characteristics using exploratory data analysis techniques, identify key factors contributing to employee resignations and layoffs, and provide data-driven insights that could support HR decision-making and workforce planning.
Technical Challenges
Handling longitudinal employee records where each employee had multiple yearly entries.
Correctly identifying the latest employee status without losing historical context.
Managing high-cardinality categorical variables such as job titles and departments.
Designing clear visualizations for skewed distributions and large employee counts.
Ensuring accurate interpretation of attrition trends across multiple dimensions.
Key Learnings
Developed strong hands-on experience in exploratory data analysis using R.
Learned how to transform and analyze longitudinal HR datasets effectively.
Improved understanding of workforce analytics and attrition drivers.
Gained practical experience with data visualization best practices.
Applied statistical reasoning to test hypotheses related to employee behavior.
Personal Reflection
"I really should reflect on this project... One day, when I'm not too busy shipping code, I'll write something profound here. For now, just know that it was a journey, and I learned things. Many things. Definitely."
Want to Learn More About This Project?
I'm happy to discuss the technical architecture, challenges overcome, and lessons learned from this project.