---
product_id: 451571586
title: "The Tableau Workshop: A practical guide to the art of data visualization with Tableau"
brand: "sumit guptasylvester pintoshweta sankhe-savale"
price: "39036 Ft"
currency: HUF
in_stock: true
reviews_count: 5
url: https://www.desertcart.hu/products/451571586-the-tableau-workshop-a-practical-guide-to-the-art-data
store_origin: HU
region: Hungary
---

# The Tableau Workshop: A practical guide to the art of data visualization with Tableau

**Brand:** sumit guptasylvester pintoshweta sankhe-savale
**Price:** 39036 Ft
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** The Tableau Workshop: A practical guide to the art of data visualization with Tableau by sumit guptasylvester pintoshweta sankhe-savale
- **How much does it cost?** 39036 Ft with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.hu](https://www.desertcart.hu/products/451571586-the-tableau-workshop-a-practical-guide-to-the-art-data)

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- sumit guptasylvester pintoshweta sankhe-savale enthusiasts

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## Description

The Tableau Workshop: A practical guide to the art of data visualization with Tableau

## Images

![The Tableau Workshop: A practical guide to the art of data visualization with Tableau - Image 1](https://m.media-amazon.com/images/I/61M-3+lO-6L.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ 5.0 out of 5 stars







  
  
    Good product I just hate school
  

*by S***Y on Reviewed in the United States on October 10, 2022*

How hard the contents are? But that’s a personal issue

### ⭐⭐⭐⭐⭐ 5.0 out of 5 stars







  
  
    Well organized "How-To" instructional book on Tableau
  

*by A***I on Reviewed in the United States on May 5, 2022*

From the start, the book provides a highly organized structure. Each chapter has an overview that acts like an appetizer for the reader. This overview includes learning objectives. These elements combined offer a pedagogical approach to the book. The chapters are easy to read, there is good flow of content, and each topic is fairly comprehensive. The examples are relevant and I particularly enjoy the exercise approach that gives the reader the opportunity to dive into the tool with guidance. I also appreciate the notes that let the reader know which combination keys to use for an Apple vs a PC.I was selective in my reading and went through the first five and then seven, eight, and nine. The first chapter, in particular, does a good job at setting the groundwork and provides a solid overview of the Tableau, the different iterations such Public vs Online vs Desktop, and how and when each should be used.I really appreciate the inclusive approach in incorporating Tableau Prep, which may be particularly helpful to those who need to prepare and clean their data prior to loading to Desktop. Chapter 3 provides a lot of information and plenty of hands-on exercises as well as activities that readers are encouraged to engage with to get the full benefit. Chapter 4 covers data exploration in moderate depth, acting as solid foundation to Chapter 5 that illustrates distributions and relationships. What I like particularly about Chapter 4 is the effective use of examples and the detailed activities that guide the reader through the key components. The chapter goes through three major chart types: stacked bar charts, pie charts, and treemaps, which are the basic foundational charts. The authors do a good job about setting expectations here and they put forth questions like “Why is this step being done, and can I improve the method?” These are questions that any data analyst must consider. I also appreciate the variation in charts used here and the real-world scenarios as well as the “words of caution” for certain charts. Chapter 5 is focused on dual axis, histograms, box and whisker plots, and scatter plots, as well as reference lines that help the reader understand when to use each type for distributions or illustrating relationships.Overall, the authors do a good job at illustrating the various parts of the main tool of reference, Tableau Desktop. There is some room for improvement with regard to defining a few items that were referenced. The user may benefit from this. For example, the author explains what “Dimensions” are and refers to categorical, descriptive, and qualitative properties. I would have like to have seen a little more explanation on these properties.  I recommend the reader approach this book more as a “How-To” or even a Cookbook. I believe it properly covers the topic of how to use the software itself rather than aspects of data visualization in general. It is a practical guide that any novice may learn a lot from.

### ⭐⭐⭐ 3.0 out of 5 stars







  
  
    Don't buy on Kindle
  

*by A***R on Reviewed in the United States on July 9, 2023*

Great book but the view is very small in Kindle Reader.  The book won't widen to fit the screen and the pictures are tiny.

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*Product available on Desertcart Hungary*
*Store origin: HU*
*Last updated: 2026-03-15*