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  2. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    For example, an image may have areas of color that do not change over several pixels; instead of coding "red pixel, red pixel, ..." the data may be encoded as "279 red pixels". This is a basic example of run-length encoding; there are many schemes to reduce file size by eliminating redundancy.

  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. Lossless compression - Wikipedia

    en.wikipedia.org/wiki/Lossless_compression

    In fact, if we consider files of length N, if all files were equally probable, then for any lossless compression that reduces the size of some file, the expected length of a compressed file (averaged over all possible files of length N) must necessarily be greater than N. [citation needed] So if we know nothing about the properties of the data ...

  5. 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").

  6. reStructuredText - Wikipedia

    en.wikipedia.org/wiki/ReStructuredText

    reStructuredText (RST, ReST, or reST) is a file format for textual data used primarily in the Python programming language community for technical documentation.. It is part of the Docutils project of the Python Doc-SIG (Documentation Special Interest Group), aimed at creating a set of tools for Python similar to Javadoc for Java or Plain Old Documentation (POD) for Perl.

  7. Data wrangling - Wikipedia

    en.wikipedia.org/wiki/Data_wrangling

    The result of using the data wrangling process on this small data set shows a significantly easier data set to read. All names are now formatted the same way, {first name last name}, phone numbers are also formatted the same way {area code-XXX-XXXX}, dates are formatted numerically {YYYY-mm-dd}, and states are no longer abbreviated.

  8. Data file - Wikipedia

    en.wikipedia.org/wiki/Data_file

    Also no translations occur in binary files. As a result, binary files are faster and easier for a program to read and write than the text files. As long as the file doesn't need to be read or ported to a different type of system, binary files are the best way to store program information. [1] Examples of binary files. A JPEG image (.jpg or .jpeg)

  9. Large-file support - Wikipedia

    en.wikipedia.org/wiki/Large-file_support

    As mass storage devices moved to the Advanced Format of 4 kilobyte per block the actual limit of that file system format is at 8 or 16 terabyte. [21] Handling larger disk partitions requires the usage of a different file system like XFS which was designed with 64-bit inodes from the start allowing for exabyte files and partitions.