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2. Power Pivot - Wikipedia

   en.wikipedia.org/wiki/Power_Pivot

   Power Pivot allows for importing data from multiple sources, such as databases (SQL Server, Microsoft Access, etc.), OData data feeds, Excel files, and other sources, facilitating comprehensive data analysis within a single environment. [10] The VertiPaq compression engine is used to hold the data model in memory on the client computer ...

3. Power Query - Wikipedia

   en.wikipedia.org/wiki/Power_Query

   Power Query was first announced in 2011 under the codename "Data Explorer" as part of Azure SQL Labs. In 2013, in order to expand on the self-service business intelligence capabilities of Microsoft Excel, the project was redesigned to be packaged as an add-in Excel and was renamed "Data Explorer Preview for Excel", [4] and was made available for Excel 2010 and Excel 2013. [5]

4. Pivot table - Wikipedia

   en.wikipedia.org/wiki/Pivot_table

   Python data analysis toolkit pandas has the function pivot_table [16] and the xs method useful to obtain sections of pivot tables. [citation needed] R has the Tidyverse metapackage, which contains a collection of tools providing pivot table functionality, [17] [18] as well as the pivottabler package. [19]

5. List of statistical software - Wikipedia

   en.wikipedia.org/wiki/List_of_statistical_software

   Mondrian – data analysis tool using interactive statistical graphics with a link to R; Neurophysiological Biomarker Toolbox – Matlab toolbox for data-mining of neurophysiological biomarkers; OpenBUGS; OpenEpi – A web-based, open-source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and ...

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. Free statistical software - Wikipedia

   en.wikipedia.org/wiki/Free_statistical_software

   For example, if the data is in CSV form (text with commas between values), the program recognizes the format and creates a data set from the CSV file. Finally, the program can be used to do some analysis. In this analysis menu, the variables of interest can be selected, along with other options. Then the analysis is run and results are obtained.