CSV files show up in almost every business workflow. You may export orders from an ecommerce platform, download leads from a CRM, receive finance data from another team, or pull product usage data from an internal dashboard. The challenge is that a raw CSV file rarely answers a question directly. It may contain duplicate rows, missing values, inconsistent column names, and dates stored in a format that makes time analysis difficult. In this tutorial, you will work through a realistic sales analysis project. Imagine you received an ecommerce order export and need to answer one practical question: What can this CSV tell us about revenue by product, category, country, and month? You will start with a raw CSV file and finish with cleaned data, useful summaries, visualizations, and exported result files.…