5

Handling NULL Values

In this chapter, we will delve into the crucial aspects of dealing with missing data and NULL values during the data analysis process. We will explore the profound impact that these gaps in data can have on the accuracy and validity of our analyses if not appropriately addressed. By emphasizing the significance of data validation and cleaning prior to analysis, we will highlight the importance of ensuring accurate, complete, and relevant data in drawing meaningful conclusions and facilitating informed decision-making.

We will begin by unraveling the distinction between NULL values and 0, shedding light on their different meanings within the context of data analysis. Recognizing this distinction serves as the foundation ...

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