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  2. Comma-separated values - Wikipedia

    en.wikipedia.org/wiki/Comma-separated_values

    Comma-separated values (CSV) is a text file format that uses commas to separate values, and newlines to separate records. A CSV file stores tabular data (numbers and text) in plain text, where each line of the file typically represents one data record. Each record consists of the same number of fields, and these are separated by commas in the ...

  3. Data conversion - Wikipedia

    en.wikipedia.org/wiki/Data_conversion

    Data conversion is the conversion of computer data from one format to another. Throughout a computer environment, data is encoded in a variety of ways. For example, computer hardware is built on the basis of certain standards, which requires that data contains, for example, parity bit checks.

  4. Data transformation (computing) - Wikipedia

    en.wikipedia.org/wiki/Data_transformation...

    In computing, data transformation is the process of converting data from one format or structure into another format or structure. It is a fundamental aspect of most data integration [1] and data management tasks such as data wrangling, data warehousing, data integration and application integration.

  5. Dataframe - Wikipedia

    en.wikipedia.org/wiki/Dataframe

    Dataframe may refer to: A tabular data structure common to many data processing libraries: pandas (software) § DataFrames; The Dataframe API in Apache Spark;

  6. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    A common use case for ETL tools include converting CSV files to formats readable by relational databases. A typical translation of millions of records is facilitated by ETL tools that enable users to input csv-like data feeds/files and import them into a database with as little code as possible.

  7. Data Format Description Language - Wikipedia

    en.wikipedia.org/wiki/Data_Format_Description...

    A subset of XML Schema is used, enough to enable the modeling of non-XML data. The motivations for this approach are to avoid inventing a completely new schema language, and to make it easy to convert general text and binary data, via a DFDL information set, into a corresponding XML document.

  8. Timothy C. Collins - Pay Pals - The Huffington Post

    data.huffingtonpost.com/paypals/timothy-c-collins

    From April 2012 to December 2012, if you bought shares in companies when Timothy C. Collins joined the board, and sold them when he left, you would have a 12.8 percent return on your investment, compared to a 2.5 percent return from the S&P 500.

  9. Wide and narrow data - Wikipedia

    en.wikipedia.org/wiki/Wide_and_narrow_data

    Many statistical and data processing systems have functions to convert between these two presentations, for instance the R programming language has several packages such as the tidyr package. The pandas package in Python implements this operation as "melt" function which converts a wide table to a narrow one. The process of converting a narrow ...