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Python 3
Data Type Conversion

Data Type Conversion

Lesson 3: Data Type Conversion

Lesson 3: Data Type Conversion

Data type conversion ensures each column is stored in the correct format for analysis. Sales values must be numeric, and dates must be recognized as date-time objects.

In this project, numeric conversions are required for sales, quantities, prices, and MSRP so calculations work correctly. Order dates are converted to date-time format to support monthly and quarterly trend analysis.

Accurate Calculations: Enables correct revenue and quantity computations.
Time-Based Analysis: Allows grouping by month, quarter, and year.
Error Prevention: Avoids plotting and aggregation issues caused by incorrect types.

Correct data types are essential for reliable analysis.

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Data Type Conversion

Contents

Lesson 3: Data Type Conversion

Sales Data Analysis Project for Beginners Using Data Science

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