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  2. Delimiter-separated values - Wikipedia

    en.wikipedia.org/wiki/Delimiter-separated_values

    Most database and spreadsheet programs are able to read or save data in a delimited format. Due to their wide support, DSV files can be used in data exchange among many applications. A delimited text file is a text file used to store data, in which each line represents a single book, company, or other thing, and each line has fields separated ...

  3. Comparison of data-serialization formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    base-10 real values are represented as character strings in ISO 6093 format; binary real values are represented in a binary format that includes the mantissa, the base (2, 8, or 16), and the exponent; the special values NaN, -INF, +INF, and negative zero are also supported

  4. Stata - Wikipedia

    en.wikipedia.org/wiki/Stata

    Thus, the current Stata release can always open datasets that were created with older versions, but older versions cannot read newer format datasets. Stata can read and write SAS XPORT format datasets natively, using the fdause and fdasave commands. Some other econometric applications, including gretl, can directly import Stata file formats.

  5. Tab-separated values - Wikipedia

    en.wikipedia.org/wiki/Tab-separated_values

    Tab-separated values (TSV) is a simple, text-based file format for storing tabular data. [3] Records are separated by newlines, and values within a record are separated by tab characters. The TSV format is thus a delimiter-separated values format, similar to comma-separated values.

  6. Bear rampaging through market lured out with honey, then killed

    www.aol.com/bear-rampaging-market-lured-honey...

    A bear that rampaged through a Japanese supermarket for two days was lured out with food coated in honey, local officials said. The animal was trapped and later killed on Monday, police said.

  7. Multiple correspondence analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple_correspondence...

    It does this by representing data as points in a low-dimensional Euclidean space. The procedure thus appears to be the counterpart of principal component analysis for categorical data. [citation needed] MCA can be viewed as an extension of simple correspondence analysis (CA) in that it is applicable to a large set of categorical variables.

  8. November retail sales top Wall Street's expectations

    www.aol.com/finance/november-retail-sales-top...

    Meanwhile, retail sales in October were revised up to a 0.5% increase from a prior reading that showed a 0.4% increase in the month, according to Census Bureau data. A 2.4% month-over-month ...

  9. Gap buffer - Wikipedia

    en.wikipedia.org/wiki/Gap_buffer

    Below are some examples of operations with buffer gaps. The gap is represented by the empty space between the square brackets. This representation is a bit misleading: in a typical implementation, the endpoints of the gap are tracked using pointers or array indices, and the contents of the gap are ignored; this allows, for example, deletions to be done by adjusting a pointer without changing ...