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Название: Data Cleaning: The Ultimate Practical Guide - From Dirty Data to Clean Data
Автор: Lee Baker
Издательство: Leanpub
Год: 2022-11-08
Язык: английский
Формат: pdf, mobi, epub + Extras
Размер: 10.2 MB
Data Cleaning: The Ultimate Practical Guide is a guide to understanding what dirty data is, and how it gets into your dataset. Data cleaning is the process of transforming dirty data into clean data. That is, identifying inaccurate, incomplete and inconsistent data to improve the quality of your dataset until it is clean enough to be stored (in a database) or to be analysed (in a spreadsheet or a stats program). The term ‘clean data’ refers to the correctness and validity of the data themselves, but not to how useful the data are to your study. This book will help you prevent most types of dirty data getting into your dataset, and clean out quickly and efficiently the remaining errors, so you can have clean, fit-for-purpose and analysis-ready data.
Автор: Lee Baker
Издательство: Leanpub
Год: 2022-11-08
Язык: английский
Формат: pdf, mobi, epub + Extras
Размер: 10.2 MB
Data Cleaning: The Ultimate Practical Guide is a guide to understanding what dirty data is, and how it gets into your dataset. Data cleaning is the process of transforming dirty data into clean data. That is, identifying inaccurate, incomplete and inconsistent data to improve the quality of your dataset until it is clean enough to be stored (in a database) or to be analysed (in a spreadsheet or a stats program). The term ‘clean data’ refers to the correctness and validity of the data themselves, but not to how useful the data are to your study. This book will help you prevent most types of dirty data getting into your dataset, and clean out quickly and efficiently the remaining errors, so you can have clean, fit-for-purpose and analysis-ready data.