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 [VerfasserIn]
Contributor(s): De Wilde, Max [VerfasserIn]
Material type: TextTextLanguage: English Series: Community experience distilledPublisher: Birmingham Mumbai Packt Publishing September 2013Description: 95 Seiten Illustrationen 24 cmContent type: Text Media type: ohne Hilfsmittel zu benutzen Carrier type: BandISBN: 9781783289080; 1783289082Subject(s): OpenRefine -- Handbooks, manuals, etc | Datenanalyse | Debugging | Daten | World Wide Web | Data Mining | Data mining -- Handbooks, manuals, etc | Electronic data processing -- Handbooks, manuals, etc | Datenanalyse | Debugging | Daten | World Wide Web | Data Mining | Genre/Form: Einführung LOC classification: QA76.9.D343Other classification: 54.81 | 54.62 | 06.54 Summary: Diving into OpenRefine -- Analyzing and fixing data -- Advanced data operations -- Linking datasetsSummary: "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."--Page 4 de la couverture
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"Open source

Includes index

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."--Page 4 de la couverture

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