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Lesson 3: Input and Output
In this sales data analysis project, understanding how data moves from input to output helps beginners clearly see how raw data is converted into meaningful insights. The project begins with a structured dataset and ends with clear visual and analytical results.
- Input
- A sales dataset in CSV format containing historical sales transaction records.
- The dataset includes details related to orders, products, sales values, dates, and customers.
- The file is uploaded into Google Colab and loaded into a Pandas DataFrame for processing.
- Output
- A cleaned and structured dataset with missing values handled and correct data types applied.
- Revenue trend visualizations that show sales performance over time.
- Product, quarterly, and customer-based insights presented using clear charts and graphs.
- Actionable insights that support understanding sales patterns and business performance.
Sales Data Analysis Project for Beginners Using Data Science
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