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Mastering Tableau 2026

Mastering Tableau 2026 - Fifth Edition

By : Marleen Meier
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Mastering Tableau 2026

Mastering Tableau 2026

By: Marleen Meier

Overview of this book

Master the full capabilities of Tableau to design, build, and scale modern data visualization and business intelligence solutions. This book takes you beyond the basics to help you create advanced Tableau dashboards, perform efficient data preparation with Tableau Prep Builder, and deliver impactful analytics across your organization. Through practical examples, you’ll learn how to turn raw data into meaningful insights using proven Tableau data visualization techniques. As you progress, you’ll work with calculated fields and LOD expressions to build more flexible and powerful analyses. You’ll also explore performance optimization, deployment, and collaboration using Tableau Server, along with best practices for data governance and security in enterprise environments. In addition, the book covers AI-powered Tableau features that enhance analysis and accelerate insight discovery. You’ll apply advanced techniques such as time series analysis, geospatial analytics, and data modeling, and extend Tableau’s capabilities through Python and R integration for more sophisticated analytics workflows. By the end of this book, you’ll be equipped to build scalable, high-performance Tableau analytics solutions, enabling you to solve complex business problems with confidence.
Table of Contents (19 chapters)
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15
Chapter 15: The Intelligent Era of Tableau AI, Pulse, and Next
18
Index

Scripting

The script functionality that we will discuss next is one of the features more recently added to Tableau. We will discuss it next because a programming language like Python or R gives you endless flexibility. If you ever reach the boundaries of Prep's offerings, you can fall back on scripting and write your own code to do exactly what you want.

In order to make use of it, you have to connect to Python (or R), outside of Tableau first. The following steps are based on the instructions from https://help.tableau.com/current/prep/en-us/prep_scripts_TabPy.htm for Python or https://help.tableau.com/current/prep/en-us/prep_scripts._R.htm for R.

For this exercise, we will be using the Boston Airbnb dataset, more specifically the calendar table. Download this dataset from https://www.kaggle.com/airbnb/boston and connect to the calendar table in Prep.

Now, let's take a step back and connect Python to Prep:

  1. Download and install Python from python.org...
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Mastering Tableau 2026
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