Cleaning Data for Effective Data Science
David Mertz
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 cleansing as much as on concise and precise code examples that express these thoughts.
Catégories:
Année:
2021
Editeur::
Packt
Langue:
english
Pages:
682
Fichier:
PDF, 9.67 MB
IPFS:
,
english, 2021