{"version":"1.0","provider_url":"https:\/\/warpwire.duke.edu","provider_name":"Warpwire","is_public":true,"duration":4391.73,"has_caption":false,"views":562,"upload_date":"2017-01-24T20:25:17+00:00","description":"Video of a workshop delivered on January 24, 2017.  Supporting Lab workbook available for free at http:\/\/libjohn.github.io\/openrefine.  OpenRefine is a data wrangling tool used to explore raw or messy data, clean it, transform it, and extend it.  In this workshop you will explore data without becoming a programmer, easily find patterns and facets, detect and clean inconsistencies, and exert the power of a data engineer without learning C++ or Python.  OpenRefine supports both entry-level and advanced data structure problems.  It is an intuitive and powerful tool for normalizing data.  Beginners are welcome! No previous experience working with data is required for this workshop.","author_name":"John Little","html":"\u003Ciframe width=\"640\" height=\"360\" src=\"https:\/\/warpwire.duke.edu\/w\/-4YBAA\/\" frameborder=\"0\" allow=\"autoplay; encrypted-media; camera; microphone; picture-in-picture\" allowfullscreen\u003E\u003C\/iframe\u003E","height":360,"width":640,"thumbnail_height":360,"thumbnail_width":640,"url":"https:\/\/warpwire.duke.edu\/w\/-4YBAA\/","type":"video","title":"OpenRefine: Data Cleaning, Faceting, and Transformations -- 2017","thumbnail_url":"https:\/\/warpwire.duke.edu\/img\/9E0597BE-9643-49EE-8DB7-5BE446C62ABE\/69BC1840-4D3A-4E36-8A34-4EE2C4F4C4EC\/large\/"}