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2. Tanagra (machine learning) - Wikipedia

   en.wikipedia.org/wiki/Tanagra_(machine_learning)

   Tanagra is a free suite of machine learning software for research and academic purposes developed by Ricco Rakotomalala at the Lumière University Lyon 2, France. [1] [2] Tanagra supports several standard data mining tasks such as: Visualization, Descriptive statistics, Instance selection, feature selection, feature construction, regression, factor analysis, clustering, classification and ...

3. Category:Free data analysis software - Wikipedia

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

   Free data visualization software (21 P) Pages in category "Free data analysis software" The following 18 pages are in this category, out of 18 total.

4. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   The data is necessary as inputs to the analysis, which is specified based upon the requirements of those directing the analytics (or customers, who will use the finished product of the analysis). [ 14 ] [ 15 ] The general type of entity upon which the data will be collected is referred to as an experimental unit (e.g., a person or population of ...

5. List of statistical software - Wikipedia

   en.wikipedia.org/wiki/List_of_statistical_software

   Revolution Analytics – production-grade software for the enterprise big data analytics; RStudio – GUI interface and development environment for R; ROOT – an open-source C++ system for data storage, processing and analysis, developed by CERN and used to find the Higgs boson; Salstat – menu-driven statistics software

6. Exploratory data analysis - Wikipedia

   en.wikipedia.org/wiki/Exploratory_data_analysis

   Exploratory data analysis is an analysis technique to analyze and investigate the data set and summarize the main characteristics of the dataset. Main advantage of EDA is providing the data visualization of data after conducting the analysis.

7. Business analytics - Wikipedia

   en.wikipedia.org/wiki/Business_analytics

   The difficulty in ensuring data quality is integrating and reconciling data across different systems, and then deciding what subsets of data to make available. [3] Previously, analytics was considered a type of after-the-fact method of forecasting consumer behavior by examining the number of units sold in the last quarter or the last year. This ...