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Cleaning Data for Effective Data Science

- Doing the other 80% of the work with Python, R, and command-line tools

af David Mertz
Cleaning Data for Effective Data Science af David Mertz
Bag om Cleaning Data for Effective Data Science

Data in its raw state is rarely ready for productive analysis. This book not only teaches you data preparation, but also what questions you should ask of your data. It focuses on the thought processes necessary for successful data cleaning as much as on concise and precise code examples that express these thoughts.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781801071291
  • Indbinding:
  • Paperback
  • Sideantal:
  • 498
  • Udgivet:
  • 31. marts 2021
  • Størrelse:
  • 234x193x33 mm.
  • Vægt:
  • 938 g.
  • 2-3 uger.
  • 6. december 2024

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- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding

Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.

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Data in its raw state is rarely ready for productive analysis. This book not only teaches you data preparation, but also what questions you should ask of your data. It focuses on the thought processes necessary for successful data cleaning as much as on concise and precise code examples that express these thoughts.

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