Using OpenRefine : the essential OpenRefine guide that takes you from data analysis and error fixing to linking your dataset to the web / Ruben Verborgh, Max De Wilde.
By: Verborgh, Ruben [author.]
.Contributor(s): De Wilde, Max [author.].Series: Community experience distilled: Publisher: Birmingham : Packt Publishing, 2013Description: ii, 95 pages : illustrations.Content type: text | still image Media type: unmediated Carrier type: volumeISBN: 9781783289080.Other title: Essential OpenRefine guide that takes you from data analysis and error fixing to linking your dataset to the web | Using Open Refine.Subject(s): OpenRefine -- Handbooks, manuals, etc | Data mining -- Handbooks, manuals, etc | Electronic data processing -- Handbooks, manuals, etc| Item type | Current library | Class number | Copy number | Status | Date due | Barcode | |
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| Book | House of Lords Library - Palace Library Intake, Ground Floor | CATSTAFF (Browse shelf(Opens below)) | 1 | Available | 012248 |
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| CATSTAFF Essential classification / | CATSTAFF ISBD : International Standard Bibliographic Description / | CATSTAFF Metadata for information management and retrieval / | CATSTAFF Using OpenRefine : | CATSTAFF RDA essentials / | QTO 328.41 PAR (XXXVII) French polishing the Palace of Westminster : restoration of furniture, fixtures and fittings / | QUICK REFERENCE How parliament works / |
"Open source."
Diving into OpenRefine -- Analyzing and fixing data -- Advanced data operations -- Linking datasets.
Data is supposed to be the new gold, but how can you unlock the value in your data? Managing large datasets used to be a task for specialists, but you don't have to worry about inconsistencies or errors anymore. OpenRefine lets you clean, link, and publish your dataset in a breeze. Using OpenRefine takes you on a practical tour of all the handy features of this well-known data transformation tool. It is a hands-on recipe book that teaches you data techniques by example. Starting from the basics, it gradually transforms you into an OpenRefine expert. This book will teach you all the necessary skills you need to handle any large dataset and to turn it into high-quality data for the Web. After you learn how to analyze data and spot issues, you'll see how you can solve them to obtain a clean dataset. Messy and inconsistent data is recovered through advanced techniques such as automated clustering. You will then learn how to extract links from keyword and full-text fields using reconciliation and named-entity extraction. -- from back cover.