Transforming Strings, Numbers, Dates and Booleans
OverviewTeaching: 5 min
Exercises: 15 minQuestions
How do I use transformations to programmatically edit my data?
How do I transform the various data types?Objectives
Introduce data formats
Introduce Boolean values and how to run transformations based on them
Understanding data types and regular expressions will help you write more complex transformations using GREL.
Data types in OpenRefine
Every piece of data in OpenRefine has a ‘type’. The most common ‘type’ is a ‘string’ - that is a piece of text. However there are other data types available and transformations let you convert data from one type to another where appropriate. The data types supported are:
- Array (covered in the next lesson)
Dates and Numbers
So far we’ve been looking only at ‘String’ type data. Much of the time it is possible to treat numbers and dates as strings. For example in the Date column we have the date of publication represented as a String. However, some operations and transformations only work on ‘number’ or ‘date’ type operations. The simplest example is sorting values in numeric or date order. To carry out these functions we need to convert the values to a date or number first.
Reformat the Date
- Make sure you remove all Facets and Filters
- On the Date column use the dropdown menu to select
Edit cells->Common transforms->To date
- Note how the values are now displayed in green and follow a standard convention for their display format (ISO 8601) - this indicates they are now stored as date data types in OpenRefine. We can now carry out functions that are specific to Dates
- On the Date column dropdown select
Edit column->Add column based on this column. Using this function you can create a new column, while preserving the old column
- In the ‘New column name’ type “Formatted Date”
- In the ‘Expression’ box type the GREL expression
value.toString("dd MMMM yyyy")
A ‘Boolean’ is a binary value that can either be ‘true’ or ‘false’. Boolean values can be used directly in OpenRefine cell, but is more often used in transformations as part of a GREL expression. For example the GREL expression
generates a boolean value of either ‘true’ or ‘false’ depending on whether the current value in the cell contains the text ‘test’ anywhere.
Such tests can be combined with other GREL expressions to create more complex transformations. For example, to carry out a further transformation only if a test is successful. The GREL transformation
if(value.contains("test"),"Test data",value) replaces a cell value with the words “Test data” only if the value in the cell contains the string “test” anywhere.
Find Reversed Author Names
In this exercise we are going to use the Boolean data type. If you look at the Authors column, you can see that most of the author names are written in the natural order. However, a few have been reversed to put the family name first.
We can do a crude test for reversed author names by looking for those that contain a comma:
- Make sure you have already split the author names into individual cells using
Edit cells->Split multi-valued cells(you should have done this in exercise 5)
- On the Authors column, use the dropdown menu and select
Facet->Custom text facet...
- The Custom text facet function allows you to write GREL functions to create a facet
- In the Expression box type
- Since the ‘contains’ function outputs a Boolean value, you should see a facet that contains ‘false’ and ‘true’. These represent the outcome of the expression, i.e. true = values containing a comma; false = values not containing a comma
- In order to change the names to natural order, see the Arrays lesson.
You can alter data in OpenRefine based on specific instructions
You can expand the data editing functions that are built-in into OpenRefine by building your own