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2. These Are the Best Expert-Reviewed Laptops You Can Buy Today

   www.aol.com/best-laptops-buy-2023-182600291.html

   Best Gaming Laptop: ASUS ROG Strix G16. Best Work Laptop: Samsung Galaxy Book3 Pro. The Expert: I spend nearly all of my working days typing on laptops while working as a technology journalist. So ...

3. 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 ...

4. Computer-assisted qualitative data analysis software - Wikipedia

   en.wikipedia.org/wiki/Computer-assisted...

   Computer-assisted (or aided) qualitative data analysis software (CAQDAS) offers tools that assist with qualitative research such as transcription analysis, coding and text interpretation, recursive abstraction, content analysis, discourse analysis, [1] grounded theory methodology, etc.

5. Comparison of numerical-analysis software - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_numerical...

   Integrated data analysis graphing software for science and engineering. Flexible multi-layer graphing framework. 2D, 3D and statistical graph types. Built-in digitizing tool. Analysis with auto recalculation and report generation. Built-in scripting and programming languages. Perl Data Language: Karl Glazebrook 1996 c. 1997 2.080 28 May 2022: Free

6. SAS (software) - Wikipedia

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

   SAS is a software suite that can mine, alter, manage and retrieve data from a variety of sources and perform statistical analysis on it. [3] SAS provides a graphical point-and-click user interface for non-technical users and more through the SAS language.

7. 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]