Between the Spreadsheets: Classifying and Fixing Dirty Data

Author:   Susan Walsh
Publisher:   Facet Publishing
ISBN:  

9781783305032


Pages:   188
Publication Date:   23 September 2021
Replaced By:   9781783307845
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Between the Spreadsheets: Classifying and Fixing Dirty Data


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Author:   Susan Walsh
Publisher:   Facet Publishing
Imprint:   Facet Publishing
ISBN:  

9781783305032


ISBN 10:   1783305037
Pages:   188
Publication Date:   23 September 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Replaced By:   9781783307845
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Between the Spreadsheets: Classifying and Fixing Dirty Data

Reviews

'If you are teaching data science then all your students should be made aware of this book. When it comes to organisations. I can’t see any reason for not making sure that anyone managing an Excel data base has a copy to refer to.... Excellent value for the price' -Martin White, Informer 'I gained many practical tips for using a spreadsheet to clean data, and alternate ways of approaching classification while reading this book - there is hope for cleaner data!' - Mary Silvia Whittaker, SLA Taxonomy 'I have rarely found such a brilliant argument about the importance of COAT - the overall approach to the management of data. The author approaches all her topics with palpable humour and presents them in lively and attractive style. A relevant acquisition for business information departments or their equivalents in public libraries as much as putting it on the desks of the people dealing with all kinds of business data.' Elena Maceviciute, Swedish School of Library and Information Science


'If you are teaching data science then all your students should be made aware of this book. When it comes to organisations. I can't see any reason for not making sure that anyone managing an Excel data base has a copy to refer to.... Excellent value for the price' -Martin White, Informer 'I gained many practical tips for using a spreadsheet to clean data, and alternate ways of approaching classification while reading this book - there is hope for cleaner data!' - Mary Silvia Whittaker, SLA Taxonomy


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'If you are teaching data science then all your students should be made aware of this book. When it comes to organisations. I can't see any reason for not making sure that anyone managing an Excel data base has a copy to refer to.... Excellent value for the price' -Martin White, Informer 'I gained many practical tips for using a spreadsheet to clean data, and alternate ways of approaching classification while reading this book - there is hope for cleaner data!' - Mary Silvia Whittaker, SLA Taxonomy 'I have rarely found such a brilliant argument about the importance of COAT - the overall approach to the management of data. The author approaches all her topics with palpable humour and presents them in lively and attractive style. A relevant acquisition for business information departments or their equivalents in public libraries as much as putting it on the desks of the people dealing with all kinds of business data.' Elena Maceviciute, Swedish School of Library and Information Science


Author Information

Susan Walsh is Founder and Managing Director of The Classification Guru, a specialist data classification, taxonomy customisation and data cleansing consultancy. Susan’s work provides clarity and accuracy to data to help businesses work more effectively, find cost savings through spend and time management, support better and more informed business decisions and deliver strong ROI. Susan has classified data across a number of different sectors, countries and languages, as well as managing and training teams to do the same. She is author of numerous articles on data issues and is a 2021 TEDx speaker and British Data Awards finalist.

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