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2. Orange (software) - Wikipedia

   en.wikipedia.org/wiki/Orange_(software)

   Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.

3. 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 ]

4. Data and information visualization - Wikipedia

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

   Data and information visualization (data viz/vis or info viz/vis) [2] is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount [3] of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.

5. Category:Data visualization software - Wikipedia

   en.wikipedia.org/wiki/Category:Data...

   Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file

6. Microsoft Power BI - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Power_BI

   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.

7. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data visualization uses information displays (graphics such as, tables and charts) to help communicate key messages contained in the data. [46] Tables are a valuable tool by enabling the ability of a user to query and focus on specific numbers; while charts (e.g., bar charts or line charts), may help explain the quantitative messages contained ...