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  2. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data." [3] Exploratory data ...

  3. 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]

  4. John Tukey - Wikipedia

    en.wikipedia.org/wiki/John_Tukey

    Tukey emphasized the importance of having a more flexible attitude towards data analysis and of exploring data carefully to see what structures and information might be contained therein. He called this "exploratory data analysis" (EDA). In many ways, EDA was a precursor to data science. Tukey also realized the importance of computer science to ...

  5. Category:Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Category:Exploratory_data...

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more

  6. Principal component analysis - Wikipedia

    en.wikipedia.org/wiki/Principal_component_analysis

    Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing.. The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified.

  7. Data exploration - Wikipedia

    en.wikipedia.org/wiki/Data_exploration

    Data exploration is an approach similar to initial data analysis, whereby a data analyst uses visual exploration to understand what is in a dataset and the characteristics of the data, rather than through traditional data management systems. [1]

  8. Guided analytics - Wikipedia

    en.wikipedia.org/wiki/Guided_analytics

    In 2016, vendors like Qlik and Tableau proposed guided analytics for exploratory data analysis tasks. [ 6 ] Around 2018, guided analytics was mentioned by business intelligence vendors when describing applications for advanced analytics use cases, rather than only for interactive dashboards.

  9. List of EDA companies - Wikipedia

    en.wikipedia.org/wiki/List_of_EDA_companies

    Silicon Insight - Interactive program that works with 3rd party testers for controlling and logging of data on the device for at-speed testing; Yield Insight - Yield analysis program which looks at foundry and performance data to diagnose possible problems; HDL Designer Series; Through Solido Design Automation Acquisition