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 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, we’ll see how we can solve them to obtain a clean dataset. Messy and inconsistent data is recovered through advanced techniques such as automated clustering. We’ll then show extract links from keyword and full-text fields using reconciliation and named-entity extraction. Using OpenRefine is more than a manual: it’s a guide stuffed with tips and tricks to get the best out of your data.
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Published in 2013.
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- R. Verborgh and M. De Wilde, Using OpenRefine. Packt Publishing, 2013.
- Ruben Verborgh and Max De Wilde. 2013. Using OpenRefine, Packt Publishing.
- Verborgh, R., De Wilde, M.: Using OpenRefine. Packt Publishing (2013).
- Verborgh, R., & De Wilde, M. (2013). Using OpenRefine. Packt Publishing.
- Verborgh, Ruben, and Max De Wilde. Using OpenRefine. Packt Publishing, 2013. Print.