The Facets and Filters terminology is confusing in OpenRefine. My view is that filtering is something you do to the data, and you can do that in two ways:
Selecting values in a facet
Applying a text filter
Both of the these actions are filtering the data set.
In Library Carpentry we say:
A ‘Facet’ groups all the values that appear in a column, and then allows you to filter the data by these values and edit values across many records at the same time.
and
As well as using Facets to filter the data displayed in OpenRefine you can also apply ‘Text Filters’ which looks for a particular piece of text appearing in a column based on a unique text string, like a ‘find’ feature. Text filters are applied by clicking the drop down menu at the top of the column you want to apply the filter to and choosing ‘Text filter’.
I don't know if this is helpful, but in my own teaching I definitely find it useful to differentiate the action (filtering the data set) from the method used to do the filtering (selecting values in facets, using a text filter)
I think we can use the suggested text to explain the terms facet and (to) filter and address @leannethelibrarian's issue #95 about the confusion these terms generate.
The Facets and Filters terminology is confusing in OpenRefine. My view is that filtering is something you do to the data, and you can do that in two ways:
Both of the these actions are filtering the data set.
In Library Carpentry we say:
and
I don't know if this is helpful, but in my own teaching I definitely find it useful to differentiate the action (filtering the data set) from the method used to do the filtering (selecting values in facets, using a text filter)
Originally posted by @ostephens in https://github.com/datacarpentry/openrefine-socialsci/issues/95#issuecomment-1265800134