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  2. Missing data - Wikipedia

    en.wikipedia.org/wiki/Missing_data

    Generally speaking, there are three main approaches to handle missing data: (1) Imputation—where values are filled in the place of missing data, (2) omission—where samples with invalid data are discarded from further analysis and (3) analysis—by directly applying methods unaffected by the missing values. One systematic review addressing ...

  3. NaN - Wikipedia

    en.wikipedia.org/wiki/NaN

    In computing, NaN (/ n æ n /), standing for Not a Number, is a particular value of a numeric data type (often a floating-point number) which is undefined as a number, such as the result of 0/0. Systematic use of NaNs was introduced by the IEEE 754 floating-point standard in 1985, along with the representation of other non-finite quantities ...

  4. Null (SQL) - Wikipedia

    en.wikipedia.org/wiki/Null_(SQL)

    These mistakes are usually the result of confusion between Null and either 0 (zero) or an empty string (a string value with a length of zero, represented in SQL as ''). Null is defined by the SQL standard as different from both an empty string and the numerical value 0, however. While Null indicates the absence of any value, the empty string ...

  5. Wikipedia, the free encyclopedia

    en.wikipedia.org/wiki/Main_Page

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

  6. Commanders' success reportedly not sitting well with former ...

    www.aol.com/sports/commanders-success-reportedly...

    The Washington Commanders are a win away from reaching the Super Bowl and with rookie quarterback Jayden Daniels leading the way, the franchise is going through a rebirth.. New ownership, a ...

  7. Feature scaling - Wikipedia

    en.wikipedia.org/wiki/Feature_scaling

    Selecting the target range depends on the nature of the data. The general formula for a min-max of [0, 1] is given as: [3] ′ = () where is an original value, ′ is the normalized value. For example, suppose that we have the students' weight data, and the students' weights span [160 pounds, 200 pounds].

  8. Errors and residuals - Wikipedia

    en.wikipedia.org/wiki/Errors_and_residuals

    The residual is the difference between the observed value and the estimated value of the quantity of interest (for example, a sample mean). The distinction is most important in regression analysis , where the concepts are sometimes called the regression errors and regression residuals and where they lead to the concept of studentized residuals .

  9. Nanjing - Wikipedia

    en.wikipedia.org/wiki/Nanjing

    The added value of industrial enterprises above the designated size was 309.226 billion yuan, an increase of 7.0%. Among the industries above designated size, the added value of state-owned and state-holding enterprises fell by 0.2%, private enterprises increased by 20.3%, and foreign companies, Hong Kong, Macao, and Taiwan enterprises ...