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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 ]
In 2005, Hyperion began to offer a visualization tool called Hyperion Visual Explorer (HVE) which was an OEM from Tableau Software. Tableau Software originated at Stanford University as a government-sponsored research project to investigate new ways for users to interact with relational and OLAP databases.
Power BI is a collection of software services, apps, and connectors that work together to turn various sources of data into static and interactive data visualizations. Data may be input by reading directly from a database, webpage, PDF, or structured files such as spreadsheets, CSV, XML, JSON, [8] XLSX, and SharePoint. [9]
[10] [3] Such effective visualization can be used not only for conveying specialized, complex, big data-driven ideas to a wider group of non-technical audience in a visually appealing, engaging and accessible manner, but also to domain experts and executives for making decisions, monitoring performance, generating new ideas and stimulating ...
Visual analytics is "the science of analytical reasoning facilitated by interactive visual interfaces." [2] It can attack certain problems whose size, complexity, and need for closely coupled human and machine analysis may make them otherwise intractable. [3]
Microsoft Learn is a library of technical documentation and training for end users, developers, and IT professionals who work with Microsoft products. Microsoft Learn was introduced in September 2018. [1] In 2022, Microsoft Docs, the technical documentation library that had replaced MSDN and TechNet in 2016, was moved to Microsoft Learn. [2] [3]
LANPAR, available in 1969, [10] was the first electronic spreadsheet on mainframe and time sharing computers. LANPAR was an acronym: LANguage for Programming Arrays at Random. [ 10 ] VisiCalc (1979) was the first electronic spreadsheet on a microcomputer, [ 11 ] and it helped turn the Apple II into a popular and widely used personal computer.
Data science is an interdisciplinary academic field [1] that uses statistics, scientific computing, scientific methods, processing, scientific visualization, algorithms and systems to extract or extrapolate knowledge from potentially noisy, structured, or unstructured data.