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2. Microsoft Excel - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Excel

   Microsoft Excel is a spreadsheet editor developed by Microsoft for Windows, macOS, Android, iOS and iPadOS. It features calculation or computation capabilities, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications (VBA). Excel forms part of the Microsoft 365 suite of software.

3. List of mass spectrometry software - Wikipedia

   en.wikipedia.org/wiki/List_of_mass_spectrometry...

   Proprietary. AnalyzerPro is a vendor-independent software application from SpectralWorks for processing mass spectrometry data. It can process both GC-MS and LC-MS data using qualitative and quantitative data processing and is used in metabolomics with MatrixAnalyzer for the comparison of multiple data sets.

4. SPSS - Wikipedia

   en.wikipedia.org/wiki/SPSS

   SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced by SPSS Inc., it was acquired by IBM in 2009. Versions of the software released since 2015 have the brand name IBM SPSS Statistics .

5. SAS (software) - Wikipedia

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

   SAS (previously "Statistical Analysis System") [1] is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, [2] and predictive analytics. SAS' analytical software is built upon artificial intelligence and utilizes machine learning ...

6. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [ 1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...

7. Exploratory data analysis - Wikipedia

   en.wikipedia.org/wiki/Exploratory_data_analysis

   e. In statistics, exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling and thereby contrasts ...