Big Mart Data Analysis

Data Analysis on Big Mart Dataset involved:

1. Combining test and train datasets to handle missing values and outliers
2. Performing data cleaning
3. Standardizing and Normalizing numerical columns
4. Obtaining visualizations to conduct univariate, bivariate and trivariate analysis
5. Conducting hypothesis testing with 95% confidence interval

The project can be found here