The Data Wrangler's Handbook
Language: English
Published by Association of College and Research Libraries, US, 2019
- Softcover
- New
Seller: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
AbeBooks seller since June 10, 2025
Condition: New
£ 76.46
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Add to basketItem description from seller
Data manipulation and analysis are far easier than you might imagine-in fact, using tools that come standard with your desktop computer, you can learn how to extract, manipulate, and analyze data (and metadata) of any size and complexity. In this handbook, data wizard Banerjee will familiarize you with easily digestible but powerful concepts that will enable you to feel confident working with data. With his expert guidance, you'll learn how touse a single-word command to sort files of any size by any criteria, identify duplicates, and perform numerous other common library tasks;understand data formats, delimited text and CSV files, XML, JSON, scripting, and other key components of data;undertake more sophisticated tasks such as comparing files, converting data from one format to another, reformatting values, combining data from multiple files, and communicating with APIs (Application Programming Interfaces);save time and stress through simple techniques for transforming text, recognizing symbols that perform important tasks, a Regular Expression cheat sheet, a glossary, and other tools.Library technologists and those involved in maintaining and analyzing data and metadata will find Banerjee's resource essential. …
Seller Inventory # LU-9780838919095
- Title
- The Data Wrangler's Handbook
- Author
- Kyle Banerjee
- Publisher
- Association of College and Research Libraries, US
- Publication year
- 2019
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 083891909X
- ISBN 13
- 9780838919095
- Item weight
- 257 grams
- use a single-word command to sort files of any size by any criteria, identify duplicates, and perform numerous other common library tasks;
- understand data formats, delimited text and CSV files, XML, JSON, scripting, and other key components of data;
- undertake more sophisticated tasks such as comparing files, converting data from one format to another, reformatting values, combining data from multiple files, and communicating with APIs (Application Programming Interfaces);
- save time and stress through simple techniques for transforming text, recognizing symbols that perform important tasks, a Regular Expression cheat sheet, a glossary, and other tools.
Library technologists and those involved in maintaining and analyzing data and metadata will find Banerjee’s resource essential.
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About the Author
"About the title" may belong to another edition of this title.
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