📊 Bank Marketing Dataset — Data Science Midterm Project

An exploratory data analysis (EDA) and data preprocessing project on the UCI Bank Marketing dataset, conducted using R and RStudio.

📁 Dataset

• Source: Bank Marketing Dataset (bank-full.csv)
• Records: 45,000+ client records
• Goal: Predict whether a client will subscribe to a term deposit

🔍 What This Project Does

• Data loading and structure exploration
• Missing value and unknown value detection
• Outlier detection and capping using IQR method
• Feature engineering — age groups, normalization, encoding
• Duplicate removal and data validation
• Class balancing (equal yes/no samples)
• Train/test split (70/30)
• Descriptive statistics and group comparisons
• T-test: call duration vs housing loan status

🛠️ Built With

• R (Base R)
• RStudio
• CSV data processing

🚀 How to Run

1. Open midterm_project.R in RStudio
2. Make sure bank-full.csv is in the same folder
3. Run the script line by line or all at once

👥 Group

IDS Midterm Project — Group 11, Spring 25-26