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  2. Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Excel

    This format is very useful for shrinking large Excel files as is often the case when doing data analysis. Excel Macro-enabled Template .xltm: A template document that forms a basis for actual workbooks, with macro support. The replacement for the old .xlt format. Excel Add-in .xlam: Excel add-in to add extra functionality and tools.

  3. StatPlus - Wikipedia

    en.wikipedia.org/wiki/StatPlus

    StatPlus is a software product developed by AnalystSoft for basic univariate and multivariate statistical analysis (MANOVA, GLM, Latin squares), as well as time series analysis, nonparametric statistics, survival analysis and statistical charts including control charts. It was originally developed for use in biomedical sciences and known as ...

  4. Data Analysis Expressions - Wikipedia

    en.wikipedia.org/wiki/Data_Analysis_eXpressions

    Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Power BI Desktop and SQL Server Analysis Services (SSAS) Tabular models. DAX includes some of the functions that are used in Excel formulas with additional functions that are designed to work with relational data and perform dynamic aggregation.

  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. 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. Data Analytics Library - Wikipedia

    en.wikipedia.org/wiki/Data_Analytics_Library

    Data transformation through matrix decomposition: DAAL provides Cholesky, QR, and SVD decomposition algorithms. Outlier detection: Identifying observations that are abnormally distant from typical distribution of other observations.

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