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  2. 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 ...

  3. 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 ...

  4. Linux - Wikipedia

    en.wikipedia.org/wiki/Linux

    Linux (/ ˈ l ɪ n ʊ k s /, LIN-uuks) [11] is a generic name for a family of open-source Unix-like operating systems based on the Linux kernel, [12] an operating system kernel first released on September 17, 1991, by Linus Torvalds.

  5. Home prices begin to come down in pandemic boomtowns like ...

    www.aol.com/finance/home-prices-begin-come-down...

    Florida and Texas saw the highest number of housing approved to build in April, according to permit data from the US Census Bureau. Year to date, Florida and Texas have 62,000 and 77,000 approved ...

  6. Merck raises outlook for electronics and healthcare, sees ...

    www.aol.com/news/merck-reports-earlier-expected...

    Merck KGaA is seeing a faster-than-expected improvement in its semiconductor materials business and is aiming to accelerate its drug development pipeline, the German pharma and technology company ...

  7. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is an interdisciplinary field [ 10] focused on extracting knowledge from typically large data sets and applying the knowledge and insights from that data to solve problems in a wide range of application domains. The field encompasses preparing data for analysis, formulating data science problems, analyzing data, developing data ...

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