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Idea networking is a qualitative method of doing a cluster analysis of any collection of statements, developed by Mike Metcalfe at the University of South Australia. [1] Networking lists of statements acts to reduce them into a handful of clusters or categories.
Generally, however, it is used to refer to any data extraction and analysis software. This would include programs such as data analysis and extraction tools, spreadsheets (e.g. Excel ), databases (e.g. Access ), statistical analysis (e.g. SAS ), generalized audit software (e.g. ACL , Arbutus, EAS), business intelligence (e.g. Crystal Reports ...
Free and open-source software portal; This is a category of articles relating to data visualization software which can be freely used, copied, studied, modified, and redistributed by everyone that obtains a copy: "free software" or "open source software".
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Ploticus – software for generating a variety of graphs from raw data; PSPP – A free software alternative to IBM SPSS Statistics; R – free implementation of the S (programming language) Programming with Big Data in R (pbdR) – a series of R packages enhanced by SPMD parallelism for big data analysis; R Commander – GUI interface for R
Monarch can also import data from OLE DB/ODBC data sources, spreadsheets and desktop databases. Users define models that describe the layout of data in the report file, and the software parses the data into a tabular format. The parsed data can be further enhanced with links to external data sources, filters, sorts, calculated fields and summaries.
A visual programming data-flow software suite with widgets for statistical data analysis, interactive data visualization, data mining, and machine learning. Origin: GUI, COM, C/ C++ and scripting: proprietary: No 1992: June 22, 2017 / 2017 SR2: Windows: Multi-layer 2D, 3D and statistical graphs for science and engineering. Built-in digitizing tool.
Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License. It was developed at the University of Waikato , New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".
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