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  2. ATLAS.ti - Wikipedia

    en.wikipedia.org/wiki/ATLAS.ti

    ATLAS.ti is a tool that supports locating, coding/tagging, and annotating features within bodies of unstructured data; it also offers visualization functions.The software is used by researchers in a wide variety of fields, and it supports data in text, graphical, audio, video, and geospatial format. [3]

  3. Statistica - Wikipedia

    en.wikipedia.org/wiki/STATISTICA

    Statistica is a suite of analytics software originally developed by StatSoft and acquired by Dell in March 2014. The software includes an array of data analysis, data management, data visualization, and data mining procedures; as well as a variety of predictive modeling, clustering, classification, and exploratory techniques. [2]

  4. Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Excel

    In addition, it can display data as line graphs, histograms and charts, and with a very limited three-dimensional graphical display. It allows sectioning of data to view its dependencies on various factors for different perspectives (using pivot tables and the scenario manager). [8] A PivotTable is a tool for data analysis. It does this by ...

  5. 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, ...

  6. Data Analytics Library - Wikipedia

    en.wikipedia.org/wiki/Data_Analytics_Library

    oneAPI Data Analytics Library (oneDAL; formerly Intel Data Analytics Acceleration Library or Intel DAAL), is a library of optimized algorithmic building blocks for data analysis stages most commonly associated with solving Big Data problems.

  7. Weka (software) - Wikipedia

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

    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".

  8. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.

  9. 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.

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