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Abstract

OpenRefine is described as a tool for working with 'messy' data - but what does this mean? It is probably easiest to describe the kinds of data OpenRefine is good at working with and the sorts of problems it can help you solve. OpenRefine is most useful where you have data in a simple tabular format but with internal inconsistencies either in data formats, or where data appears, or in terminology used. It can help you: Get an overview of a data set Resolve inconsistencies in a data set Help you split data up into more granular parts Match local data up to other data sets Enhance a data set with data from other sources Some common scenarios might be: 1. Where you want to know how many times a particular value appears in a column in your data. 2. Where you want to know how values are distributed across your whole data set. 3. Where you have a list of dates which are formatted in different ways, and want to change all the dates in the list to a single common date format.