Название: Data Cleaning: The Ultimate Practical Guide - From Dirty Data to Clean DataАвтор: 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.
Now With 2 Free Bonuses! You can now get the following FREE bonuses with this book:
1) Data Cleaning – The Big Picture
An Ultra-High-Definition flowchart (pdf) that will help you take the next steps in your Data Ninja journey!
2) Cheatsheet - Excel Data Cleaning Formulae
22 essential data cleaning formulae!
Data visualisation is sexy. So are Bayesian Belief Nets and Artificial Neural Networks.
You can’t get to do any of these things, though, if your data are dirty. Your analysis package will just stare back at you, saying ‘computer says no’.
But just how do you get the clean data that these packages need?
More than that, it is a guide to helping you prevent most types of dirty data getting into your dataset in the first place, and cleaning out quickly and efficiently the remaining errors, so you can have clean, fit-for-purpose and analysis-ready data. So that your data are ready to change the world!
Data Cleaning: The Ultimate Practical Guide is a snappy little non-threatening book about everything you ever wanted to know (but were afraid to ask) about the craft of cleaning and preparing your data for the sexier parts of your analysis.
First, I’ll explain about the 4 phases of data cleaning.
Then I’ll show you the 6 different types of dirty data that tend to find a way into your dataset.
You’ll learn about the 5 data collection methods typically used in research, and you’ll get a 5 step method of cleaning data.
Finally, you’ll learn about the 4 data pre-processing steps using summary statistics that will help you get your data fit-for-purpose and analysis-ready.
Best of all, there is no technical jargon – it is written in plain English and is perfect for beginners! By the time you’ve read this short book, you’ll know more about data collection and cleaning than most people around you! Discover how to clean your data quickly and effectively. Get this book, TODAY!
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