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    Data Visualization Tools Tableau: Presented by Submitted To

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    amulyaavadhani
    Tableau is a business intelligence software that produces interactive data visualizations. It was created in 1997 at Stanford University to explore and analyze relational databases. Tableau's main tools include Tableau Desktop for creating visualizations, Tableau Server for sharing them, and Tableau Public for free public sharing. Tableau allows users to easily create dashboards and reports from various data sources and supports mobile viewing. However, it is costly compared to some competitors and lacks predictive analytics capabilities or version control.

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    Data Visualization Tools Tableau: Presented by Submitted To

    Uploaded by

    amulyaavadhani
    151 views15 pages
    Tableau is a business intelligence software that produces interactive data visualizations. It was created in 1997 at Stanford University to explore and analyze relational databases. Tableau's main tools include Tableau Desktop for creating visualizations, Tableau Server for sharing them, and Tableau Public for free public sharing. Tableau allows users to easily create dashboards and reports from various data sources and supports mobile viewing. However, it is costly compared to some competitors and lacks predictive analytics capabilities or version control.

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    Tableau

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    Tableau is a business intelligence software that produces interactive data visualizations. It was created in 1997 at Stanford University to explore and analyze relational databases. Tableau's main tools include Tableau Desktop for creating visualizations, Tableau Server for sharing them, and Tableau Public for free public sharing. Tableau allows users to easily create dashboards and reports from various data sources and supports mobile viewing. However, it is costly compared to some competitors and lacks predictive analytics capabilities or version control.

    Copyright:

    © All Rights Reserved
    Download as PPTX, PDF, TXT or read online from Scribd
    Download as pptx, pdf, or txt
    151 views15 pages

    Data Visualization Tools Tableau: Presented by Submitted To

    Uploaded by

    amulyaavadhani
    Tableau is a business intelligence software that produces interactive data visualizations. It was created in 1997 at Stanford University to explore and analyze relational databases. Tableau's main tools include Tableau Desktop for creating visualizations, Tableau Server for sharing them, and Tableau Public for free public sharing. Tableau allows users to easily create dashboards and reports from various data sources and supports mobile viewing. However, it is costly compared to some competitors and lacks predictive analytics capabilities or version control.

    Copyright:

    © All Rights Reserved
    Download as PPTX, PDF, TXT or read online from Scribd
    Download as pptx, pdf, or txt
    of 15
    At a glance
    Powered by AI
    The key takeaways are that Tableau is a data visualization tool used for business intelligence. It was created at Stanford University and allows users to create interactive visualizations and dashboards from various data sources.

    The different types of Tableau tools are developer tools like Tableau Desktop and Tableau Public, and sharing tools like Tableau Server, Tableau Online, and Tableau Reader.

    Data analytics in Tableau is classified into two parts - developer tools which are used for creation and sharing tools which are used for sharing visualizations and reports created using the developer tools.

    DATA VISUALIZATION TOOLS

    TABLEAU
    Presented by
    Amulya.A Submitted to
    4BD18MBA05 Prof.Vijay.K.S
    TABLEAU HISTORY
    • Tableau software is of software company headquartered in Seattle,
    Washington, United States that produces interactive data
    visualization products focused on business intelligence.
    • The company was established at Stanford University’s Department
    of Computer Science between 1997 and 2002.
    • Professor Pat Hanrahan and Ph.D. student Chris Stolte who
    specialized in visualization techniques created the software in the
    department of computer science with the aim to explore and analyze
    relational database and data cubes
    • It is derived from French word Tableaux which means a group of
    models or motionless figures representing a scene from a story or
    from history.
    A list of Tableau tools:
    • Tableau Desktop
    • Tableau Public
    • Tableau Online
    • Tableau Server
    • Tableau Reader
    Data analytics in Tableau is classified into two parts:-
    • Developer Tools:- The Tableau tools which are used for development
    such as the creation of charts, dashboards, report generation and
    visualization are known as developer's tools. Tableau Desktop and the
    Tableau Public, are the example of this type.
    • Sharing Tools:- The role of these tools are sharing the reports,
    visualizations, and dashboards that were created using the developer
    tools. The Tableau tools that fall into this category are Tableau Server,
    Tableau Online, and Tableau Reader.
    Tableau Desktop
    • Tableau Desktop has a rich feature set and allows us to code and customize
    reports. Right from creating the reports, charts to blending them all to form a
    dashboard, all the necessary work is created in Tableau Desktop.
    • Based on the connectivity to the publishing option and data sources, Tableau
    Desktop is also classified into two parts-
    • Tableau Desktop Personal:- The personal version of the Tableau desktop keeps
    the workbook private, and the access is limited. The workbooks can't be published
    online. So, it should be distributed either offline or in Tableau public.
    • Tableau Desktop Professional:- It is similar to Tableau desktop. The main
    difference is that the workbooks created in the Tableau desktop can be published
    online or in Tableau server. In the professional version, there is full access to all
    sorts datatypes. It is best for those who want to publish their workbook in Tableau
    server.
    Tableau Public
    • This Tableau version is specially built for cost-effective users. The word 'Public'
    means that the created workbooks cannot be saved locally. They should be kept
    on the Tableau's public cloud, which can be accessed and viewed by anyone.
    Tableau Server
    • The software is correctly used to share the workbooks, visualizations, which is
    created in the Tableau Desktop application over the organization. To share
    dashboards in the Tableau Server, you should first publish your workbook in the
    Tableau Desktop. Once the workbook has been uploaded to the server, it will be
    accessible only to the authorized users.
    Tableau Reader
    • Tableau Reader is a free tool which allows us to view the visualizations and
    workbooks, which is created using Tableau Desktop or Tableau Public. The data
    can be filtered, but modifications and editing are restricted. There is no security
    in Tableau Reader as anyone can view workbook using Tableau Reader.
    Download and Installation of Tableau
    • Tableau is available in two ways:-
    • Tableau Public (Free)
    • Tableau Desktop (Commercial)
    Tableau Public
    • Tableau Public is a free and open-source.
    • Tableau public data source can connect to Excel and Text files.
    • Tableau public can be installed on Window and Mac operating system.
    • Data and Visualizations are not secured in the Tableau public because it is
    available in public.
    • In Tableau public, data cannot be obtained from different data sources as it is
    limited to connect only Excel and Text files.
    • Tableau public uses the details at Personal level.
    Tableau Desktop
    • Tableau Desktop is a paid source, personal edition- $35 per month and
    professional edition- $70 per month.
    • Tableau desktop data source can connect to any data source file,
    including databases, web applications, and more.
    • Tableau desktop can also install on Window and Mac operating system.
    • Data and Visualization are secured in Tableau desktop.
    • In Tableau desktop, data can extract from various data sources and
    stored as Tableau extract file.
    • Tableau desktop uses the details at Professional and Enterprise level.
    ADVANTAGES:
    • Data Visualization:- Tableau is a data visualization tool, and provides complex
    computation, data blending, and dashboarding for creating beautiful data
    visualizations.
    • Quickly Create Interactive Visualization:- Users can create a very interactive
    visual by using drag n drop functionalities of Tableau.
    • Comfortable in Implementation:- Many types of visualization options are
    available in Tableau, which enhances the user experience. Tableau is very easy to
    learn in comparison to Python. Who don't have any idea about coding, they also
    can quickly learn Tableau.
    • Tableau can Handle Large Amounts of Data:- Tableau can easily handle
    millions of rows of data. A large amount of data can create different types of
    visualization without disturbing the performance of the dashboards. As well as,
    there is an option in Tableau where the user can make 'live' to connect different
    data sources like SQL, etc.
    • Mobile Support and Responsive Dashboard:- Tableau Dashboard has an
    excellent reporting feature that allows you to customize dashboard
    specifically for devices like a mobile or laptops. Tableau automatically
    understands which device is viewing the report by the user and make
    adjustments to ensure that accurate report is delivered to the right device.
    DISADVANTAGES
    High Cost
    • Tableau is not the most expensive visualization software, especially compared to
    such business intelligence giants as Oracle’s and IBM’s solutions. All the same,
    the license is quite costly for most small to medium companies, which makes it
    one of the considerable Tableau’s disadvantages.
    No predictive analytical capabilities
    • Tableau Software allows users only to analyze what has happened. It does not
    support any predictive or statistical capabilities. For example, Tableau does not
    support SAS, S+, R, etc.
    No version control
    • There is no option to revert back to previous levels of data in Tableau. The
    moment the dashboards and reports are published on the server, it is not possible
    to go back and recover old data.

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