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  2. Group by (SQL) - Wikipedia

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

    This implies constraints on the columns that can appear in the associated SELECT clause. As a general rule, the SELECT clause may only contain columns with a unique value per group. This includes columns that appear in the GROUP BY clause as well as aggregates resulting in one value per group.

  3. Fisher's exact test - Wikipedia

    en.wikipedia.org/wiki/Fisher's_exact_test

    Before we proceed with the Fisher test, we first introduce some notations. We represent the cells by the letters a, b, c and d, call the totals across rows and columns marginal totals, and represent the grand total by n. So the table now looks like this:

  4. Help:Table - Wikipedia

    en.wikipedia.org/wiki/Help:Table

    Note that although cell C is in column 2, C is the 1st cell declared in row 3, because column 1 is occupied by cell A, which was declared in row 2. Cell G is the only cell declared in row 5, because cell F occupies the other columns but was declared in row 4.

  5. Template:Na neutral - Wikipedia

    en.wikipedia.org/wiki/Template:Na_neutral

    The text in the cell is taken from the first parameter; {{yes | Sure}} would output "Sure" otherwise it defaults to "Yes". Most templates allow authors to override the default text in this way, some require text put after the template call and some also need a vertical bar in between: {{table cell template}} text or {{table cell template ...

  6. NaN - Wikipedia

    en.wikipedia.org/wiki/NaN

    For the decimal formats, the usual encoding of unsigned integers is used. If an operation has a single NaN input and propagates it to the output, the result NaN's payload should be that of the input NaN (this is not always possible for binary formats when the signaling/quiet state is encoded by an is_signaling flag, as explained above). If ...

  7. Logistic regression - Wikipedia

    en.wikipedia.org/wiki/Logistic_regression

    The above formula shows that once the are fixed, we can easily compute either the log-odds that = for a given observation, or the probability that = for a given observation. The main use-case of a logistic model is to be given an observation x {\displaystyle {\boldsymbol {x}}} , and estimate the probability p ( x ) {\displaystyle p({\boldsymbol ...

  8. SQL - Wikipedia

    en.wikipedia.org/wiki/SQL

    SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...

  9. Isolation forest - Wikipedia

    en.wikipedia.org/wiki/Isolation_forest

    Isolation Forest is an algorithm for data anomaly detection using binary trees.It was developed by Fei Tony Liu in 2008. [1] It has a linear time complexity and a low memory use, which works well for high-volume data.