Best Practices in Data Cleaning

Best Practices in Data Cleaning
Author :
Publisher : SAGE
Total Pages : 297
Release :
ISBN-10 : 9781412988018
ISBN-13 : 1412988012
Rating : 4/5 (012 Downloads)

Book Synopsis Best Practices in Data Cleaning by : Jason W. Osborne

Download or read book Best Practices in Data Cleaning written by Jason W. Osborne and published by SAGE. This book was released on 2013 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many researchers jump straight from data collection to data analysis without realizing how analyses and hypothesis tests can go profoundly wrong without clean data. This book provides a clear, step-by-step process of examining and cleaning data in order to decrease error rates and increase both the power and replicability of results. Jason W. Osborne, author of Best Practices in Quantitative Methods (SAGE, 2008) provides easily-implemented suggestions that are research-based and will motivate change in practice by empirically demonstrating, for each topic, the benefits of following best practices and the potential consequences of not following these guidelines. If your goal is to do the best research you can do, draw conclusions that are most likely to be accurate representations of the population(s) you wish to speak about, and report results that are most likely to be replicated by other researchers, then this basic guidebook will be indispensible.


Best Practices in Data Cleaning Related Books

Best Practices in Data Cleaning
Language: en
Pages: 297
Authors: Jason W. Osborne
Categories: Mathematics
Type: BOOK - Published: 2013 - Publisher: SAGE

DOWNLOAD EBOOK

Many researchers jump straight from data collection to data analysis without realizing how analyses and hypothesis tests can go profoundly wrong without clean d
Cleaning Data for Effective Data Science
Language: en
Pages: 499
Authors: David Mertz
Categories: Mathematics
Type: BOOK - Published: 2021-03-31 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Think about your data intelligently and ask the right questions Key FeaturesMaster data cleaning techniques necessary to perform real-world data science and mac
Statistical Data Cleaning with Applications in R
Language: en
Pages: 316
Authors: Mark van der Loo
Categories: Computers
Type: BOOK - Published: 2018-04-23 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

A comprehensive guide to automated statistical data cleaning The production of clean data is a complex and time-consuming process that requires both technical k
Data Cleaning
Language: en
Pages: 284
Authors: Ihab F. Ilyas
Categories: Computers
Type: BOOK - Published: 2019-06-18 - Publisher: Morgan & Claypool

DOWNLOAD EBOOK

This is an overview of the end-to-end data cleaning process. Data quality is one of the most important problems in data management, since dirty data often leads
Exploratory Data Mining and Data Cleaning
Language: en
Pages: 226
Authors: Tamraparni Dasu
Categories: Mathematics
Type: BOOK - Published: 2003-08-01 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Written for practitioners of data mining, data cleaning and database management. Presents a technical treatment of data quality including process, metrics, tool