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2. Origin (data analysis software) - Wikipedia

   en.wikipedia.org/wiki/Origin_(data_analysis...

   Origin Workbook with sparklines above data columns; this allows a quick glance of the data without plotting them. Origin is primarily a GUI software with a spreadsheet front end. Unlike popular spreadsheets like Excel, Origin's worksheet is column oriented. Each column has associated attributes like name, units and other user definable labels.

3. Category:Summary statistics - Wikipedia

   en.wikipedia.org/wiki/Category:Summary_statistics

   Download as PDF; Printable version; ... Summary statistics for categorical data (1 C, 6 P) Pages in category "Summary statistics"

4. Summary statistics - Wikipedia

   en.wikipedia.org/wiki/Summary_statistics

   A common collection of order statistics used as summary statistics are the five-number summary, sometimes extended to a seven-number summary, and the associated box plot. Entries in an analysis of variance table can also be regarded as summary statistics. [1]: 378

5. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]

6. List of statistical software - Wikipedia

   en.wikipedia.org/wiki/List_of_statistical_software

   SuperCROSS – comprehensive statistics package with ad-hoc, cross tabulation analysis; Systat – general statistics package; The Unscrambler – free-to-try commercial multivariate analysis software for Windows; Unistat – general statistics package that can also work as Excel add-in; WarpPLS – statistics package used in structural ...

7. Five-number summary - Wikipedia

   en.wikipedia.org/wiki/Five-number_summary

   The five-number summary is a set of descriptive statistics that provides information about a dataset. It consists of the five most important sample percentiles : the sample minimum (smallest observation)