Tableau is a data visualization and analysis tool which is popular among the data science community.
For better understanding, differences between Tableau and other similar tools are provided below.
Tableau | Excel |
Mainly for visualizations & creating dashboards | Spreadsheet tool mainly for calculations |
Can handle Big data | Small data |
Can connect to Python & R | - |
Tableau | Python |
Data visualization tool | Programming language for Data Analytics and visualization |
For basic use, programming is not needed | Simple programming language |
Tableau | Microsoft Power BI |
Can handle Big data | Small data |
Slightly difficult | Easy |
Features of Tableau
It helps to develop visualizations
It allow user to work with large volume of data
It is widely used in business where making data driven decisions are more common
It helps to create dashboards
It can extract data from various sources including cloud
Some of the Tableau products
Tableau Desktop | Largely used for business intelligence |
Tableau Prep | Tool designed to prepare data - for data cleaning before performing analysis
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Tableau Server | Used to publish works prepared using Tableau desktop |
Tableau online | Analytics platform fully hosted on cloud |
File types in Tableau
Tableau workbook(.twb) | |
Tableau data source(.tds) | |
Tableau bookmark(.tbm) | |
Tableau extract(.tde) | |
Tableau packaged workbook(.twbx) | Keeps both extracted data and visualisations Hence, this file type is used when it is necessary to share both data and visualisations Visualizations can be viewed in Tableau reader/Tableau online
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