When you add a dataset, the application automatically suggests one of the supported semantic type for each column.
The semantic type corresponds to the category (names, emails, phone numbers, etc) of the data. If the semantic type that has been applied on a column is not the desired one, you have the possibility to manually change it to one of the predefined types, based on your own experience.
Let's take the example of a dataset containing client data, including the
job title of your customers. You can see in the header of the job column that the data type has only been recognized as
String. You are going to change the semantic type of the
column so that it more accurately reflects the data.
- Click the menu icon in the header of the job column.
From the menu that opens, you can either:
- Start typing the name of the type that you think would
be appropriate in the Find another semantic
As you type, an auto-completion feature will suggest a list of available types for your data.
- Select one of the suggestions, based on the matching percentage with your column.
- Start typing the name of the type that you think would be appropriate in the Find another semantic type field.
Click the Job Title type
from the suggestions in this case.
According the statistics, this semantic type corresponds the most to the values contained in the column.
Job Title, as you can see in the header of the job column.
Every time that the semantic type of a column is modified, the dataset quality is calculated again.