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Book Overview & Buying
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Table Of Contents
Mastering Tableau 2026 - Fifth Edition
By :

https://packt.link/EarlyAccessCommunity
Have you ever wondered whether your data is reliable enough to analyze? Almost everyone who works with data faces this question. That's why this chapter focuses on data preparation; the essential process of getting your data ready for meaningful analysis, often called data cleaning.
By the end of this chapter, you'll understand what good data quality looks like, how to identify issues in your datasets, and how to apply practical cleaning techniques using Tableau 2026. The overall goal is to help you build confidence in working with data that truly supports sound conclusions.
This information matters because even the most advanced analyses depend on accurate, well-prepared data. Learning how to evaluate and clean your data will save time, reduce errors, and improve the credibility of your insights.
In this chapter, we will discuss the following topics: