Ebook Tableau Data Visualization Cookbook, by Ashutosh Nandeshwar
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Tableau Data Visualization Cookbook, by Ashutosh Nandeshwar
Ebook Tableau Data Visualization Cookbook, by Ashutosh Nandeshwar
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Over 70 recipes for creating visual stories with your data using Tableau
Overview
- Quickly create impressive and effective graphics which would usually take hours in other tools
- Lots of illustrations to keep you on track
- Includes examples that apply to a general audience
In Detail
You know the feeling when you are asked to change or add a certain data point in your graph at the last minute. Usually, you have to scramble to complete the project and risk accuracy; this is not so with Tableau, however. Tableau is a revolutionary toolkit that lets you simply and effectively create high quality data visualizations.
"Tableau Data Visualization Cookbook" will show you the exact steps required to generate simple to complex graphics. Whether they are pie charts or box plots, you can create such graphics with ease and confidence; no more searching for scripts or laborious Excel hacks. This book will help you make the most of Tableau and show you how to finish your projects quicker using this toolkit.
In this book you’ll start with getting your data into Tableau, move onto generating progressively complex graphics, and end with the finishing touches and packaging your work for distribution.
This book is filled with practical recipes to help you create filled maps, use custom markers, add slider selectors, and create dashboards. You will learn how to manipulate data in various ways by applying various filters, logic, and calculating various aggregate measures. Then, we will create animated graphs and provide search box and drop-down selectors to users. This book will help you to create stunning graphics in very short amount of time.
If you want to effortlessly create beautiful visualizations of data then "Tableau Data Visualization Cookbook" is for you!
What you will learn from this book
- Forecast with trend lines
- Manipulate and transform data
- Import data from various sources
- Create filled maps and use any shape file
- Share your work easily
- Create dashboards and scorecards
- Format and finish the graphic
- Observe statistical distributions
Approach
This Cookbook contains step-by-step instructions for Tableau users to create effective graphics. The book is designed in such a way that you can refer to it chapter by chapter; you can look at the list of recipes and read them in no particular order.
Who this book is written for
You’ll gain the most from this book if you have basic understanding of various chart types and of their importance. Knowing when to employ a certain graphic will be equally useful. This book will get you up to speed if you just started using Tableau. You’ll find this book useful if you spend a lot of time conducting data analysis and creating reports.
- Sales Rank: #39335 in Books
- Published on: 2013-08-26
- Released on: 2013-08-26
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .39" w x 7.50" l, .0 pounds
- Binding: Paperback
- 172 pages
About the Author
Ashutosh Nandeshwar
Ashutosh R. Nandeshwar has extensive experience in data mining, machine learning, and information visualization. He is one of the few analytics professionals in the higher education industry who have developed analytical solutions for all stages of the student lifecycle (from recruitment to giving). He enjoys speaking to technical and non-technical audiences about the power of data as well as ranting about data professionals' chasing of "interesting" things. He received his PhD/MS from West Virginia University and BE from Nagpur University, all in Industrial Engineering. You can follow him on Twitter, @n_ashutosh, and on his website, http://www.nandeshwar.info.
Most helpful customer reviews
16 of 16 people found the following review helpful.
The Tableau manual is better
By Jonathan Drummey
Disclaimer: I received a free copy of the ebook in exchange for promising to review the book. I'm also writing a Tableau book myself, though it is targeted at more advanced users.
I cannot honestly recommend this book in its current form. I think most every reader is better off with the Tableau manual, which even though it has its own issues is still 1) free, 2) more complete, and 3) more accurate.
Here is a list of specific issues with the Tableau Data Visualization Cookbook in its initial release:
- The section on dimensions and measures is woefully incomplete. Other than mentioning that dimensions usually generate headers, it does not go into how dimension vs. measure changes how aggregation happens. Also, the book does not cover continuous vs. discrete at all, the only mention is deep into the book during the section on color palettes. Understanding the combinations of dimension vs. measure, continuous (green) vs. discrete (blue) is critical to being able to take advantage of Tableau's features.
- The section on scatterplots does not talk about using size, color, transparency to deal with marks that are drawn on top of one another, never mind more advanced techniques such as aggregation or jittering. I believe this is necessary to address for using Tableau as a tool for visual analysis.
- The section on Measure Names/Measure Values does not include the key shortcut of right-clicking to drag out a pill and then choosing the aggregation. This is much faster than what is described in the book.
- The date aggregation section has no discussion of choosing the date part and date value (aka datetrunc) aggregations and how they are different, and how they can be converted from continuous to discrete, and the effects on the visualization. This is a key early question users have when they do things like expand the YEAR(Date) pill into Quarter and Months and want to get rid of the line breaks that Tableau adds.
- The facets/panel charts/small multiples section does not mention that this kind of arrangement requires one to have discrete headers (created by dimensions or discrete aggregates) to make the layout possible. It also doesn't discuss the limitations of panel charts in Tableau.
- The dual axis chart recipe doesn't talk about how to hide the secondary axis once it's customized, and the screenshot (at least on the Kindle edition) doesn't even show secondary axis. Also, a not-uncommon question is "Why can't I synchronize the axes?" - which happens when one axis has an integer and the other a float, I believe the book should have addressed that as well.
- The Gantt bars recipe directs the user to put YEAR(Date) and MONTH(Date) on the Filters shelf, there are at least 3 other options that would let the user use a single date filter and be more efficient. For example, using the MY(Date), using the range selector for the date value version of MONTH(Date), or using date value/datetrunc version of MONTH(Date) as a discrete. This recipe has 13 steps, with no explanation of why those steps are needed. I mention this because Gantt Bars use the Size Shelf to set the length of the bar, unlike most Bar marks, which can be confusing to users.
- The map section isn't too bad, however there is no mention of dual axis maps.
- The book barely touches on the difference between row level and aggregate calcs, and has no mention of the most common error new users of calculated fields see - the "Cannot mix aggregate and non-aggregate calculations" message, nor how to fix (and avoid) that problem.
- The Grand Totals section does not describe how the aggregations of grand totals are a separate computation. So instead of an average of the displayed values, Tableau is averaging the underlying data. This is a very common question for users.
- The table calculation section does not describe the other options for relative compute using (such as Pane), and has no mention at all of fixed compute using.
- The color section does not have screen shots of continuous/discrete color choices. Writing about colors is like dancing about architecture. In addition, it uses the term "Color box" instead of the Tableau term, which is "Color Shelf."
- The formatting section states that the Tableau default format is widely usable. This is not true at all when the output is for print or for putting up on a projector. The default font size in Tableau is 8pt, which is too small for most print situations and definitely true for projected visualizations.
- There are three pages on setting up dashboards, with no mention of layout containers, sizing dashboards or worksheets, and using floating vs. fixed layouts.
Having made a list of specific issues, here are more general impressions:
- The recipes are about using Tableau to build specific charts. In most cases, there is no discussion of why the given steps are necessary, and there is often no mention of potential complications or workarounds that users may run into.
- The book has nearly nothing on the cycle of visual analysis, which is one of the key features of Tableau. A user who reads this book will think of Tableau as a chart builder and not have more of a sense of how it can answer questions in new ways.
- For a book about a visualization tool, there are far too few screenshots for the number of instructions.
- Since Tableau has a focus on bringing "data democracy," I believe an introductory level book needs to talk more about what a usable data source is for analysis and what isn't, and how to get to an analytics-ready data source.
My hope is that there will be a 2nd edition at some point that would correct these deficiencies, until then I will steer users away from this book. If a 2nd edition comes out, I'd be glad to update my review.
Jonathan
1 of 1 people found the following review helpful.
Too basic, no depth at all
By Koen Verbeeck
The book is way too basic and this because of the overly simplistic recipes. There are 74 recipes in about 150 pages, so almost 1 recipe per 2 pages. Clearly an example of quantity over quality. Get this book only if you are an absolute beginner in Tableau and have never read anything about this tool or if you are an absolute novice in data visualizations tools.
1 of 1 people found the following review helpful.
Good for new/beginning users
By J. Chang
DISCLAIMER - I received a free copy of this book for review purposes. I was not asked to write a positive review in return, just that I write a fair review. Review begins below:
I consider myself a middling Tableau user. I am comfortable with its basics but have not yet mastered the heights of the product (complex table calcs, windowing functions, complex parameters and the like). I have taken the Tableau advanced course and have attended one user conference. I am certified in the Desktop product. Thus, I am reviewing this book from the perspective of someone trying to take that next step to advanced Tableau knowledge.
This book is set up as a step-by-step walkthrough of common Tableau activities. Thus, it starts with the basics of how to connect to a variety of data sources to building your first one-dimensional vizes to multidimensional vizes. Just about every type of standard viz is covered in these step-by-step approaches. One of the great things I liked about the book was that each section had a "How It Works" section describing at a high level what the steps actually do and a "There's More" section which provides a quick note containing additional information about the technique described. These quick notes could be pointers to Tableau's help file or to external blogs/web sites where the reader could learn more. These references are fairly up to date and comprise a top list of great Tableau references.
If you are relatively new to Tableau, this book is a nice reference to help you remember how to do something you might have gone through in class or watched on Tableau's web site. I found a few chapters that served as a nice refresher for some things I hadn't done in quite some time. It also does a nice job of walking through how to create your own custom calculated fields.
If you are an advanced user, there is nothing in this book that you will not have already known and there is not much in terms of things that will stretch your knowledge. Unfortunately, that is pretty much the state of Tableau printed references - it's nice to see that Tableau is getting popular enough to warrant reference books, but there just isn't anyone addressing the higher levels of functionality. I'd love to see one or more of the Tableau Zen Masters collaborating on an advanced functionality book because I think those guys have a ton of knowledge that lots of Tableau users would benefit from. But a book like that might be another year or so off in the horizon.
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