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Data Analytics & Visualization: Tableau

What is Tableau and what makes it unique?

Tableau logo

Tableau is a Business Intelligence tool for visually analyzing the data:

  • Its drag-and-drop interface makes it easy to sort, compare, and analyze data from multiple sources, including Excel, SQL Server, and cloud-based data repositories.
  • As it does not require high level of programming expertise, any user with access to data can start using it to derive value from the data.
  • Users can create and distribute an interactive and shareable dashboard, which depict the trends, variations, and density of the data in the form of graphs and charts

Interactive Dashboard in Tableau: Example

Where to find Tableau?

What is the difference between Tableau Public and Tableau Desktop?

Tableau Public is a free platform to explore, create and publicly share data visualizations online. It allows you to use the majority of the software functions. You can create visualizations and connect to Text and Excel documents. However, the largest difference is that Tableau Public does not allow you to save your workbooks locally. You have to save them on the publicly which means that everyone can see your data since it’s saved on the cloud.

Tableau desktop offers all the full features of software. Your workbooks can be shared locally. This version allows you the connect to different file types, create extracts of the data sources and save your Tableau workbooks locally and publicly.

Tableau Public vs. Tableau Desktop

Tableau Public Tableau Desktop
Free Requires license; Tableau offers a free one-year license for teachers and students
Only Text and Excel files can be connected All listed data files can be connected
Does not allow you to save your workbooks locally; all your reports are public once they are published Allows to save your Tableau workbooks locally and publicly; nobody can see your reports unless provided with an access
1 Million Rows of data can be stored, processed and shared Unlimited Rows of data can be stored, processed and shared
Target audience: beginners in the field of data analysis and BI enthusiasts Target audience: data scientists, BI developers, BI professionals


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