Using OpenRefine

Ruben Verborgh, Max De Wilde

ISBN 10: 1783289082 / ISBN 13: 9781783289080

Published by Packt Publishing Limited, GB, 2023

About this Item

With this book on OpenRefine, managing and cleaning your large datasets suddenly got a lot easier! With a cookbook approach and free datasheets included, you'll quickly and painlessly improve your data managing capabilities.Key FeaturesCreate links between your dataset and others in an instantEffectively transform data with regular expressions and the General Refine Expression LanguageSpot issues in your dataset and take effective action with just a few clicksBook DescriptionData today is like gold - but how can you manage your most valuable assets? Managing large datasets used to be a task for specialists, but the game has changed - data analysis is an open playing field. Messy data is now in your hands! With OpenRefine the task is a little easier, as it provides you with the necessary tools for cleaning and presenting even the most complex data. Once it's clean, that's when you can start finding value.Using OpenRefine takes you on a practical and actionable through this popular data transformation tool. Packed with cookbook style recipes that will help you properly get to grips with data, this book is an accessible tutorial for anyone that wants to maximize the value of their data.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.What you will learnImport data in various formatsExplore datasets in a matter of secondsApply basic and advanced cell transformationsDeal with cells that contain multiple valuesCreate instantaneous links between datasetsFilter and partition your data easily with regular expressionsUse named-entity extraction on full-text fields to automatically identify topicsPerform advanced data operations with the General Refine Expression LanguageWho this book is forThis book is targeted at anyone who works on or handles a large amount of data. No prior knowledge is required, as we start from the very beginning and gradually reveal more advanced features. You don't even need your own dataset, as we provide example data to try out the book's recipes.

Seller Inventory # LU-9781783289080

Bibliographic Details

• Title: Using OpenRefine
• Publisher: Packt Publishing Limited, GB
• Publication Date: 2023
• Language: English
• ISBN 10: 1783289082
• ISBN 13: 9781783289080
• Binding: Digital
• Edition: Revised ed.
• Condition: New
• Dimensions: 19.05W x 0.66H x 23.5D centimeters 19.05 centimeters width by 0.66 centimeters height by 23.5 centimeters depth

About this title

Synopsis

The book is styled on a Cookbook, containing recipes - combined with free datasets - which will turn readers into proficient OpenRefine users in the fastest possible way. This book is targeted at anyone who works on or handles a large amount of data. No prior knowledge of OpenRefine is required, as we start from the very beginning and gradually reveal more advanced features. You don't even need your own dataset, as we provide example data to try out the book's recipes.

About the Authors

Ruben Verborgh is a PhD researcher in Semantic Hypermedia. He is fascinated by the Web's immense possibilities and tries to contribute ideas that will maybe someday slightly influence the way the Web changes all of us. His degree in Computer Science Engineering convinced him more than ever that communication is the most crucial thing for IT-based solutions. This is why he really enjoys explaining things to those eager to learn. In 2011, he launched the Free Your Metadata project together with Seth van Hooland and Max De Wilde, which aims to evangelize the importance of bringing your data on the Web. This book is one of the assets in this continuing quest. He currently works at Multimedia Lab, a research group of iMinds, Ghent University, Belgium, in the domains of Semantic Web, Web APIs, and Adaptive Hypermedia. Together with Seth van Hooland, he's writing Linked Data for Libraries, Archives, and Museums, Facet Publishing, a practical guide for metadata practitioners.

Max De Wilde is a PhD researcher in Natural Language Processing and a teaching assistant at the Universit libre de Bruxelles (ULB), department of Information and Communication Sciences. He holds a Master's degree in Linguistics from the ULB and an Advanced Master's in Computational Linguistics from the University of Antwerp. Currently, he is preparing a doctoral thesis on the impact of language-independent information extraction on document retrieval. At the same time, he works as a full-time assistant and supervises practical classes for Master's level students in a number of topics, including database quality, document management, and architecture of information systems.