This project focuses on performing univariate and multivariate analysis on a dataset, using various visualization techniques to understand data distributions and relationships.
We used a Sleep Health & Lifestyle dataset from Kaggle and performed:
- Data Cleaning: Handling missing values, duplicates, and inconsistencies.
- Exploratory Data Analysis (EDA): Understanding data distribution and relationships.
- Visualization: Using Seaborn, Matplotlib, NumPy, and Pandas for insights.