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  2. Data Analytics Library - Wikipedia

    en.wikipedia.org/wiki/Data_Analytics_Library

    Principal Component Analysis (PCA): the most popular algorithm for dimensionality reduction. Association rules mining: Detecting co-occurrence patterns. Commonly known as “shopping basket mining.” Data transformation through matrix decomposition: DAAL provides Cholesky, QR, and SVD decomposition algorithms.

  3. Apache Superset - Wikipedia

    en.wikipedia.org/wiki/Apache_Superset

    Apache Superset is an open-source software application for data exploration and data visualization able to handle data at petabyte scale ().The application started as a hack-a-thon project by Maxime Beauchemin (creator of Apache Airflow) while working at Airbnb and entered the Apache Incubator program in 2017. [1]

  4. Analyst's Notebook - Wikipedia

    en.wikipedia.org/wiki/Analyst's_Notebook

    i2 Analyst's Notebook is a software product from i2 Group for data analysis. Based on ELP (entity-link-property) methodology, it reveals relationships between data entities to discover patterns and provide insight into data. It is commonly used by digital analysts at law enforcement, military and other government intelligence agencies, and by ...

  5. 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.

  6. 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]

  7. Origin (data analysis software) - Wikipedia

    en.wikipedia.org/wiki/Origin_(data_analysis...

    The files can also be read by QtiPlot but only with a paid "Pro" version. Finally the liborigin [1] library can also read .OPJ files such as by using the opj2dat script, which exports the data tables contained in the file. There is also a free component (Orglab) maintained by Originlab that can be used to create (or read) OPJ files.