SCT_DA_2

Task 2: Data Cleaning and Preparation

Objective

Perform data cleaning and preparation on the Superstore dataset using Python and Pandas.

Tasks Performed

• Loaded dataset into Python environment
• Checked data structure and data types
• Identified missing values
• Handled missing Income values
• Converted date columns into proper datetime format
• Removed duplicate records
• Exported cleaned dataset

Tools Used

• Python
• Pandas
• NumPy
• Google Colab

Outcome

Created a clean and analysis-ready dataset suitable for further data analysis and visualization.