Faceting and filtering
OverviewTeaching: 10 min
Exercises: 10 minQuestions
What is a facet in OpenRefine?
What is a filter in OpenRefine?
How can I use filters and facets to explore data OpenRefine?
How can I easily correct common data issues in my data with OpenRefine?Objectives
Explain what Facets and Filters are
Answer simple questions about the content of a data set using Facets
Use facets and filters to work with a subset of data
Correct simple data problems through a facet
Facets are one of the most useful features of OpenRefine and can help both get an overview of the data in a project as well as helping you bring more consistency to the data.
A ‘Facet’ groups all the values that appear in a column, and then allow you to filter the data by these values and edit values across many records at the same time.
The simplest type of Facet is called a ‘Text facet’. This simply groups all the text values in a column and lists each value with the number of records it appears in. The facet information always appears in the left hand panel in the OpenRefine interface.
To create a Text Facet for a column, click on the drop down menu at the top of the column and choose
Facet -> Text Facet. The facet will then appear in the left hand panel.
The facet consists of a list of values used in the data. You can filter the data displayed by clicking on one of these headings.
You can include multiple values from the facet in a filter at one time by using the ‘Include’ option which appears when you put your mouse over a value in the Facet.
You can also ‘invert’ the filter to show all records which do not match your selected values. This option appears at the top of the Facet panel when you select a value from the facet to apply as a filter.
Let’s create a text facet
- Click on the drop down menu at the top of the column and choose
Facet > Text Facet. The facet will then appear in the left hand panel
- Filter by facet by clicking or
- Select multiple values to
- You can ‘invert’ your selections to
- Include a value and then look at top to invert inclusion.
Which licences are used for articles in this file?
text facetfor the
licensecolumn and answer these questions:
- What is the most common Licence in the file?
- How many articles in the file don’t have a licence assigned?
- Create a facet for the ‘Licence’ column
- What is the most common Licence in the file? Answer:
- How many articles in the file don’t have a licence assigned? Answer: 6
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. 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’.
As with Facets, the Filter options appear in the left hand panel in OpenRefine. Simply type in the text you want to use in the Filter to display only rows which contain that text in the relevant column.
You can also use regular expressions in the filter.
Working with filtered data
It is very important to note that when you have filtered the data displayed in OpenRefine, any operations you carry out will apply only to the rows that match the filter - that is the data currently being displayed.
More on Facets
As well as ‘Text facets’ Refine also supports a range of other types of facet. These include:
- Numeric facets
- Timeline facets (for dates)
- Custom facets
- Scatterplot facets
Numeric and Timeline facets display graphs instead of lists of values. The graph includes ‘drag and drop’ controls you can use to set a start and end range to filter the data displayed.
Scatterplot facets are less commonly used - for further information on these see the tutorial at http://enipedia.tudelft.nl/wiki/OpenRefine_Tutorial#Exploring_the_data_with_scatter_plots
Custom facets are a range of different types of facets, and also allow you write your own custom facets. Some of the default custom facets are:
- Word facet - this breaks down text into words and counts the number of records each word appears in
- Duplicates facet - this results in a binary facet of ‘true’ or ‘false’. Rows appear in the ‘true’ facet if the value in the selected column is an exact match for a value in the same column in another row
- Text length facet - creates a numeric facet based on the length (number of characters) of the text in each row for the selected column. This can be useful for spotting incorrect or unusual data in a field where specific lengths are expected (e.g. if the values are expected to be years, any row with a text length more than 4 for that column is likely to be incorrect)
- Facet by blank - a binary facet of ‘true’ or ‘false’. Rows appear in the ‘true’ facet if they have no data present in that column. This is useful when looking for rows missing key data.
Facets are intended to group together common values and OpenRefine limits the number of values allowed in a single facet to ensure the software does not perform slowly or run out of memory. If you create a facet where there are many unique values (for example, a facet on a ‘book title’ column in a data set that has one row per book) the facet created will be very large and may either slow down the application, or OpenRefine will not create the facet.
Find all publications without a DOI
- Use the
Facet by blankfunction to find all publications in this data set without a DOI
- On the
DOIcolumn drop down and select
Customized facets > Facets by blank
Truemeans that it is blank, so you can:
includefor true to winnow down the publications
Amending data through facets
If you create a text facet you can edit the values in the facet to change the value for several records at the same time. To do this, simply mouse-over the value you want to edit and click the ‘edit’ option that appears.
This approach is useful in relatively small facets where you might have small variations through punctuation or typing errors etc. For example, a column that should contain only terms from a small restricted list such as days of the week or months of the year.
The list of values in the facet will update as you make edits.
Correct the Language values via a facet
Text faceton the
languagecolumn and correct the variation in the
- Create a Text facet on the Language column
- Notice that there is both
- Put the mouse over the
- See how the Language facet updates
You can use facets and filters to explore your data
You can use facets and filters work with a subset of data in OpenRefine
You can easily correct common data issues from a Facet