Book Image

Tableau Certified Data Analyst Certification Guide

By : Mr. Harry Cooney, Mr. Daisy Jones
Book Image

Tableau Certified Data Analyst Certification Guide

By: Mr. Harry Cooney, Mr. Daisy Jones

Overview of this book

The Tableau Certified Data Analyst certification validates the essential skills needed to explore, analyze, and present data, propelling your career in data analytics. Whether you're a seasoned Tableau user or just starting out, this comprehensive resource is your roadmap to mastering Tableau and achieving certification success. The book begins by exploring the fundamentals of data analysis, from connecting to various data sources to transforming and cleaning data for meaningful insights. With practical exercises and realistic mock exams, you'll gain hands-on experience that reinforces your understanding of Tableau concepts and prepares you for the challenges of the certification exam. As you progress, expert guidance and clear explanations make it easy to navigate complex topics as each chapter builds upon the last, providing a seamless learning experience—from creating impactful visualizations to managing content on Tableau Cloud. Written by a team of experts, this Tableau book not only helps you pass the certification exam but also equips you with the skills and confidence needed to excel in your career. It is an indispensable resource for unlocking the full potential of Tableau.
Table of Contents (11 chapters)

Tableau Desktop Unions

Data sources can be combined in Tableau Desktop by placing one data source on top of the other structurally, aligning common columns, and adding null values in columns that are not common between data sources. This method of combining data is called unioning the data sources.

Table headers should be the same across the data sources being unioned if the data from one column should be placed on top of the same from the other data source. Data types must also be common across common columns. An example of a union might be a sales file from 2022 and a sales file from 2023. Both files have the same structure in terms of columns, each with the same name and data type. Therefore, when the union is created, the 2022 data can be placed neatly on top of the 2023 data structurally. By default, unions match columns based on the header names so the order of the fields does not matter. However, the union can be configured to generate field names automatically, in which...