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Handling Missing Values | Data Preparation
Introduction to Power BI
course content

Зміст курсу

Introduction to Power BI

Introduction to Power BI

1. First Steps into Power BI
2. Data Preparation
3. Building Robust Data Models and Calculations
4. Visualizing Data
5. Enhancing Reports for Impactful Storytelling

bookHandling Missing Values

Let's now explore how to handle missing data in the dataset using Power Query. Missing values can lead to incomplete and inaccurate analysis, so it's essential to address them properly. We'll learn to identify these gaps in our dataset and replace them with appropriate values using techniques like filling in with the mean, median, or mode. Additionally, we'll look at forward-fill and backward-fill methods.

Below are the datasets we will use:

What is the primary reason for handling missing data in Power BI?

What is the primary reason for handling missing data in Power BI?

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