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  2. Tableau Software - Wikipedia

    en.wikipedia.org/wiki/Tableau_Software

    Tableau Software, LLC is an American interactive data visualization software company focused on business intelligence. [ 2 ] [ 3 ] It was founded in 2003 in Mountain View, California , and is currently headquartered in Seattle, Washington . [ 4 ]

  3. Dashboard (computing) - Wikipedia

    en.wikipedia.org/wiki/Dashboard_(computing)

    Tableau has the ability to make interactive dashboards by clicking into a specific point. For example, you can have data be displayed within a map. By clicking a specific state or city you can get a closer look at the data contained within that location.

  4. Simplex algorithm - Wikipedia

    en.wikipedia.org/wiki/Simplex_algorithm

    The tableau form used above to describe the algorithm lends itself to an immediate implementation in which the tableau is maintained as a rectangular (m + 1)-by-(m + n + 1) array. It is straightforward to avoid storing the m explicit columns of the identity matrix that will occur within the tableau by virtue of B being a subset of the columns ...

  5. 30 “Today I Learned” Facts Ranging From Weird To ... - AOL

    www.aol.com/lifestyle/55-must-read-facts-those...

    Learning for adults shouldn’t be just an optional activity. Gaining new knowledge is vital for individuals’ cognitive functions, independence, career, and confidence.

  6. Data blending - Wikipedia

    en.wikipedia.org/wiki/Data_blending

    In tableau software, data blending is a technique to combine data from multiple data sources in the data visualization. [17] A key differentiator is the granularity of the data join. When blending data into a single data set, this would use a SQL database join , which would usually join at the most granular level, using an ID field where ...

  7. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    To start thinking visually, users must consider two questions; 1) What you have and 2) what you're doing. The first step is identifying what data you want visualised. It is data-driven like profit over the past ten years or a conceptual idea like how a specific organisation is structured.

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