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  2. Column family - Wikipedia

    en.wikipedia.org/wiki/Column_family

    A column family is a database object that contains columns of related data. It is a tuple (pair) that consists of a key–value pair , where the key is mapped to a value that is a set of columns. In analogy with relational databases, a column family is as a "table", each key-value pair being a "row".

  3. Help:Table - Wikipedia

    en.wikipedia.org/wiki/Help:Table

    tabulate, Python module for converting data structures to wiki table markup; wikitables, Python module for reading wiki table markup; H63: Using the scope attribute to associate header cells and data cells in data tables | Techniques for WCAG 2.0. Tables | Usability & Web Accessibility. Yale University. Tables with Multi-Level Headers.

  4. Stack Overflow - Wikipedia

    en.wikipedia.org/wiki/Stack_Overflow

    Negotiations between Stack Exchange and moderators resulted in new policies allowing moderators to remove AI content when there is a strong indicator of GPT usage, and a commitment from the site to continue to provide data and API access. At the conclusion of negotiations, the strike ended on August 2, 2023. [29]

  5. tz database - Wikipedia

    en.wikipedia.org/wiki/Tz_database

    the Pandas (Python) module pandasPython Data Analysis Library; the .NET Framework libraries NodaTime, TZ4Net and zoneinfo Archived 24 December 2017 at the Wayback Machine; the Haskell libraries timezone-series and timezone-olson; the Erlang module ezic; The Go standard library time package; The Rust crate chrono-tz; The Squeak Smalltalk ...

  6. Data cleansing - Wikipedia

    en.wikipedia.org/wiki/Data_cleansing

    Data cleansing may also involve harmonization (or normalization) of data, which is the process of bringing together data of "varying file formats, naming conventions, and columns", [2] and transforming it into one cohesive data set; a simple example is the expansion of abbreviations ("st, rd, etc." to "street, road, etcetera").

  7. Data wrangling - Wikipedia

    en.wikipedia.org/wiki/Data_wrangling

    Depending on the amount and format of the incoming data, data wrangling has traditionally been performed manually (e.g. via spreadsheets such as Excel), tools like KNIME or via scripts in languages such as Python or SQL. R, a language often used in data mining and statistical data analysis, is now also sometimes used for data wrangling. [6]

  8. List of numerical-analysis software - Wikipedia

    en.wikipedia.org/wiki/List_of_numerical-analysis...

    Shogun, an open-source large-scale machine-learning toolbox that provides several SVM implementations (like libSVM, SVMlight) under a common framework and interfaces to Octave, MATLAB, Python, R Waffles is a free-software collection of command-line tools designed for scripting machine-learning operations in automated experiments and processes.

  9. JMP (statistical software) - Wikipedia

    en.wikipedia.org/wiki/JMP_(statistical_software)

    JMP can be used in conjunction with the R and Python open source programming languages to access features not available in JMP itself. [42] JMP software is partly focused on exploratory data analysis and visualization. It is designed for users to investigate data to learn something unexpected, as opposed to confirming a hypothesis.