Project 1

In summary, data cleaning for the Automobile 1985 dataset involves handling missing values, converting categorical variables, removing duplicates, and addressing outliers. Descriptive analytics helps summarize the data using statistical measures, visualizations, and correlations, providing valuable insights into the dataset's characteristics.