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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. pandas (software) - Wikipedia

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

    [4]: 114 A DataFrame is a 2-dimensional data structure of rows and columns, similar to a spreadsheet, and analogous to a Python dictionary mapping column names (keys) to Series (values), with each Series sharing an index. [4]: 115 DataFrames can be concatenated together or "merged" on columns or indices in a manner similar to joins in SQL.

  4. Delimiter-separated values - Wikipedia

    en.wikipedia.org/wiki/Delimiter-separated_values

    [2]: 113 Column headers are sometimes included as the first line, and each subsequent line is a row of data. The lines are separated by newlines . For example, the following fields in each record are delimited by commas, and each record by newlines:

  5. Delimiter - Wikipedia

    en.wikipedia.org/wiki/Delimiter

    A stylistic depiction of values inside of a so-named comma-separated values (CSV) text file. The commas (shown in red) are used as field delimiters. A delimiter is a sequence of one or more characters for specifying the boundary between separate, independent regions in plain text, mathematical expressions or other data streams.

  6. 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.

  7. OpenRefine - Wikipedia

    en.wikipedia.org/wiki/OpenRefine

    OpenRefine is an open-source desktop application for data cleanup and transformation to other formats, an activity commonly known as data wrangling. [3] It is similar to spreadsheet applications, and can handle spreadsheet file formats such as CSV, but it behaves more like a database.

  8. Calligra Sheets - Wikipedia

    en.wikipedia.org/wiki/Calligra_Sheets

    Sheets also has the ability to import several spreadsheet formats, including XLS (Microsoft Excel), Applix Spreadsheet, Quattro Pro, CSV, dBase, Gnumeric, SXC (OpenOffice.org XML), Kexi and TXT. It supports export of OpenDocument Spreadsheet, SXC, Tables document, CSV, HTML, Gnumeric, TeX and TXT. Sheets does not support export of XLS. [1]

  9. Shazam (econometrics software) - Wikipedia

    en.wikipedia.org/wiki/Shazam_(econometrics_software)

    SHAZAM Professional Edition contains comprehensive data import capabilities through its Data Connector and SQL editor allowing the import of machine data source such as tab, space or comma separated text formats, other file-based proprietary binary formats (including various Microsoft Excel formats) as well as Microsoft Access or any other LAN ...