Bad data handbook

Rubriek: Textual/Printed/Reference Materials - Boek

Prijs: € 19.9

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Welcome to data science's dirty secret: real-world data is messy. Data scientists must spend a good deal of time playing software developer, writing code to clean up data before they can actually do anything constructive with it. This is a necessary evil, but we can still make the most of it.



Welcome to data science's dirty secret: real-world data is messy. Data scientists must spend a good deal of time playing software developer, writing code to clean up data before they can actually do anything constructive with it. It's a necessary evil, but you can still make the most of it. This practical book walks you through several real-world examples to demonstrate the theory and practice behind working with and cleaning up dirty data. No one tool solves all of the problems well. Wise data scientists learn many tools and learn where each one shines. To that end, this book takes a polyglot approach: most examples will involve R and Python, but expect the occasional smattering of Groovy and sed/awk fun.

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Taal: en

Bindwijze: Paperback

Oorspronkelijke releasedatum: 18 december 2012

Aantal pagina's: 264

Illustraties: Nee

Hoofdauteur: Q. Ethan Mccallum

Hoofduitgeverij: O'Reilly Media

Editie: 1

Extra groot lettertype: Nee

Product breedte: 179 mm

Product hoogte: 15 mm

Product lengte: 230 mm

Studieboek: Ja

Verpakking breedte: 180 mm

Verpakking hoogte: 233 mm

Verpakking lengte: 22 mm

Verpakkingsgewicht: 430 g

EAN: 9781449321888

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