Tableau In Mac

When pursuing a career in data science or business intelligence, working with computers is an essential part of the job. And if you have found your way here, chances are you are planning to add Tableau to your program suite. But if you plan to use Tableau regularly, should you purchase a new computer to accommodate the software on your existing one? Does Tableau work better on Mac or Windows?

Jul 19, 2013 Tableau's own consultants use Macs and run Tableau in Parallels (so do I). Mac and Parallels are so great that Tableau bechmarks faster in Parallels on a Mac than it does in Windows running natively on commodity PC hardware. Apr 23, 2021 What is Tableau Public for Mac Tableau Public is a free service that lets anyone publish interactive data visualizations to the web. Visualizations that have been published to Tableau Public ('vizzes') can be embeded into webpages and blogs, they can be shared via social media or email, and they can be made available for download to other users. Tableau Mobile gives you the freedom to stay on top of your data, no matter where you are or when you need it. With a fast, intuitive, and interactive experience, explore your dashboards and find just what you’re looking for, all from the convenience of your mobile device.

Tableau is not better or worse on Mac than it is on Windows. There are minor differences between the two versions, but not enough to switch systems. It is more important to invest in a laptop that serves your everyday life as a data analyst. A mid to high-quality computer that travels well is ideal.

Read on to learn more about how Tableau works on Mac and Windows computers. If you are interested in purchasing a new computer for your data analyst career, keep reading for some tips.

How Does Tableau Work?

Over the past few years, Tableau has become a stand-out program for data analysts to create high-quality visualizations in record time. With its simple, intuitive, interactive dashboards, Tableau makes business trends easy to communicate with other team members in your company.

What makes Tableau different from other data visualization tools? Here are a few benefits:

Learning Curve

Compared to other data analysis tools, Tableau takes much less time to learn. While having programming knowledge is useful for a designer, creating a visualization on Tableau requires no coding. If you are using Tableau to view visualizations, the learning curve is even more shallow. Its lack of difficulty makes Tableau a cross-occupational tool for those familiar and unfamiliar with data science.

Presentation

There are some data visualization tools, like Excel, that can develop graphs quickly but without much pizazz. Excel visualizations are relatively bare-bones. On the other hand, Tableau can create interactive visualizations that highlight different trends with a mouse’s click. This on-demand flexibility saves time you would be spending making multiple graphs and tables for one presentation.

Ease of Operation

It bears repeating: Tableau is easy peasy lemon squeezy! Even as a developer, creation is achieved through simple drag and drop functions. While it does not always offer the in-depth customization of other tools, like R Shiny, it makes up for it by being easy to use by viewers and developers alike. Furthermore, viewers can view visualizations without the desktop app, via Tableau Server or Tableau Online.

What makes Tableau so easy to use? The answer is VizQL, the programming language that runs Tableau’s software. VizQL, or Visual Query Language, is a relative of SQL, Structured Query Language. The program intakes formulae from various databases, including SQL, and outputs them as visual presentations like graphs and tables. Luckily, VizQL does not require SQL data to run. The program can interpret all sorts of programming languages.

Tableau on Mac vs. Windows: What Is the Difference?

The business analytics market experienced a massive surge in the past decade: from $37.7 billion in 2013 to $59.2 billion in 2018. However, Pat Hanrahan, Christian Chabot, and Chris Stolte created the software back in 2003 at Stanford University. The first Mac version of Tableau, version 8.2, was released recently in 2014.

Does the Mac edition of Tableau run better considering the strength of the Apple hardware?

Tableau In Mac

The short answer to this question is no, Tableau on Mac does not have any significant advantages over Windows. Tableau team member Dmitry Chirkov stated that, besides data connectors, both versions of the software are identical. Furthermore, he cited no significant differences in driver functionality and performance between either version.

Two minor differences may determine which version of the software is right for you, according to InterWork’s Katie Wagner. Here are some insights from her review of Tableau on Mac from 2014:

Search Functionality

macOS benefits from having a smooth and understandable user interface. Tableau on Mac takes advantage of this UI to provide an optimized search engine. On Windows, you may notice complications, especially when looking for parameters that you finished only moments ago.

However, Mac users can search through their data by clicking on the Help tab at the top of the screen. From there, all they need to do is type what they are looking for into the search bar.

Available Databases

However, Tableau on Mac’s one drawback is its lack of available databases. The program’s driver is still powerful. Unfortunately, it cannot intake all of the sources that its Windows counterpart can. Here is a quick review of the programs’ differences in databases:

This lack of data sources may seem disappointing at first glance. However, if Tableau on Mac can intake all of the data you usually use, you will not notice the difference. In sum, this detail is the most important to check when considering which system you will install Tableau.

Finding the Best Computer for Data Analysis

Tableau

If Tableau runs the same on Mac and Windows, give or take some data inputs, does that mean the computer you analyze data with does not matter. In some ways, yes. Most data analysis runs through a remote server. Therefore, the remote server’s computing capacity will determine your data analysis’s efficiency, not the computer you run.

You define the task first and send it to the server, then the server processes the task and sends the results back to you.

Here is an infographic for reference:

However, just because most data analysis gets done over a server does not mean your choice in a computer is entirely irrelevant. If you keep these considerations in mind, you will have an easier time performing data analysis tasks daily:

Operating System

There are some programs you will use on your computer rather than over a server. Tableau, for example, is one of them. Both Mac and Windows can handle all of these programs. Newer, more experimental operating systems, like Chromebook, are not recommended due to lack of software support.

However, there is one caveat: if you do not use Mac, use Windows 10 with Ubuntu installed. Windows has no dedicated terminal application, which makes Ubuntu vital. However, Linux alone will prove fruitless when running specific essential software. You need these two systems working in tandem for the best results.

Ease of Carrying

One of your tasks as a data analyst is presenting your findings with other people. Whether it is to a group via PowerPoint presentation or a query among peers, you should be able to pull your work up quickly. Furthermore, your work should be on-hand wherever you go. That is why it is best to invest in a laptop that is lightweight and easy to carry.

CPU Power (for Local Use)

Times will come when connecting to the internet is unnecessary or unavailable. Perhaps you are on an airplane, or booting the server is impractical for the task at hand. In these cases, your computer should be powerful enough to handle local work.

Accessibility

Lastly, you need a computer that is easy to use. What features will be useful to you? Will a touch screen help your cause or hinder your work? Is the keyboard layout clear, or are you continually touching unwanted keys? These are some questions you should ask when considering the critical aspects of your laptop.

Conclusion

Tableau In Mac

In short, Tableau does not run better on Mac or Windows. The software contains small differences between each computer, but nothing deal-braking. What is more important is choosing a computer that will suit your needs as a data analyst. Besides considering what data resources you will be working with, you should consider how the computer contributes to your daily analysis tasks. Choose a laptop that is powerful, accessible, and easy to carry.

Tableau
  1. History of tableau. (n.d.). www.javatpoint.com. https://www.javatpoint.com/history-of-tableau
  2. Tableau community forums. (n.d.). Tableau Community Forums. https://community.tableau.com/s/question/0D54T00000C61MUSAZ/choosing-mac-or-windows
  3. VizQL: A language for query, analysis and visualization. (n.d.). ResearchGate. https://www.researchgate.net/publication/221213647_VizQL_a_language_for_query_analysis_and_visualization
  4. What is VizQL? (n.d.). Tableau. https://www.tableau.com/drive/what-is-vizql
  5. What’s new in tableau 8.2 – Tableau for Mac InterWorks. (2021, February 12). InterWorks. https://interworks.com/blog/kwagner/2014/06/20/whats-new-tableau-82-tableau-mac/
  6. What’s the best computer/laptop for a data scientist? (2020, July 22). Data36. https://data36.com/best-computer-laptop-for-a-data-scientist/

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Support for more dashboard extensions

Parameter Actions, Date Updater, Data-Driven Parameters, and Semiotic Hierarchy dashboard extensions are now supported on Tableau Public. See all of the extensions supported on Tableau Public in the Extension Gallery.

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Web authoring on Tableau Public (beta)

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Create new visualizations on Tableau Public right from a browser. With web authoring in beta on Tableau Public, you can connect to data in Excel and text-based files including CSV, JSON, PDF, Spatial files, Statistical files, Tableau Data Extracts, and Hyper Extracts.