This project focuses on profiling and segmenting users based on various demographic and behavioral data. It provides insights into user characteristics and interactions, which can help in tailoring marketing strategies, improving user experience, and enhancing product targeting.
- Data Quality Checks: Includes functions to check for null values, column information, and generate descriptive statistics of the dataset.
- Demographic Analysis: Visualizes the distribution of key demographic variables such as age, gender, education level, and income level.
- Behavioral Analysis: Examines device usage patterns and online behaviors of users, including average time spent online and interactions with advertisements.
- User Engagement Metrics: Analyzes user engagement levels and ad interaction metrics to help identify highly engaged users.