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  2. Comma-separated values - Wikipedia

    en.wikipedia.org/wiki/Comma-separated_values

    CSV is a delimited text file that uses a comma to separate values (many implementations of CSV import/export tools allow other separators to be used; for example, the use of a "Sep=^" row as the first row in the *.csv file will cause Excel to open the file expecting caret "^" to be the separator instead of comma ","). Simple CSV implementations ...

  3. pandas (software) - Wikipedia

    en.wikipedia.org/wiki/Pandas_(software)

    Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series .

  4. Help:Table - Wikipedia

    en.wikipedia.org/wiki/Help:Table

    Note that you may also specify the § height of individual rows, and if they add up to more than the table height you specified or if word wrapping increases row height, the table height you specified will be ignored and the table height increased as needed to accommodate all the rows (except on mobile where the bottom of the table will be cut ...

  5. Burrows–Wheeler transform - Wikipedia

    en.wikipedia.org/wiki/Burrows–Wheeler_transform

    Then, the last and first columns (of each row) together give you all pairs of successive characters in the document, where pairs are taken cyclically so that the last and first character form a pair. Sorting the list of pairs gives the first and second columns. Continuing in this manner, you can reconstruct the entire list. Then, the row with ...

  6. Creating shared value - Wikipedia

    en.wikipedia.org/wiki/Creating_shared_value

    The Economist referred to CSV as 'undercooked' without much empirical evidence, noting that CSV's efforts to get corporations to look beyond the bottom line are not new. Also pointed out is the "striking resemblance" of shared value to Jed Emerson's concept of blended value .

  7. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Altszyler and coauthors (2017) studied Word2vec performance in two semantic tests for different corpus size. [29] They found that Word2vec has a steep learning curve, outperforming another word-embedding technique, latent semantic analysis (LSA), when it is trained with medium to large corpus size (more than 10 million words). However, with a ...