« Data wrangling » : différence entre les versions


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[http://www.datascienceglossary.org  Source : Datascience glossary]
[http://www.datascienceglossary.org  Source : Datascience glossary]
[https://theappsolutions.com/blog/development/data-wrangling-guide-to-data-preparation  Theappsolution.com]

Version du 20 novembre 2019 à 15:19

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data wrangling

Data munging


Also, data munging. The conversion of data, often through the use of scripting languages, to make it easier to work with. If you have 900,000 birthYear values of the format yyyy-mm-dd and 100,000 of the format mm/dd/yyyy and you write a Perl script to convert the latter to look like the former so that you can use them all together, you're doing data wrangling. Discussions of data science often bemoan the high percentage of time that practitioners must spend doing data wrangling; the discussions then recommend the hiring of data engineers to address this. See also Perl, Python, shell, data engineer

Data Wrangling (also known as Data Munging) is the process of transforming data from its original “raw” form into a more digestible format and organizing sets from various sources into a singular coherent whole for further processing.


Source : Datascience glossary Theappsolution.com

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