![]() ![]() In essence, you are creating a map that Tableau can use to translate the string into a date field. The DATEPARSE function lets you clearly define which parts of your field are which parts of a date. When Tableau cannot interpret a date field, it might be because the particular format cannot be translated. ![]() Some date fields have years before months, others separate the parts of the date with periods, and still others use a combination of formats. If you see many Null values, return the data type to String and proceed to Create a calculation using the DATEPARSE function to correct the issue.ĭates are stored in a nearly infinite array of formats. Inspect the data in the view or Data Source pane. In the Data Source or Data pane, click the data type icon and change the data type to Date or Date & Time The first step in resolving a date field interpretation issue is to make sure the data type is set to Date or Date & Time. If your dates aren't interpreted correctly, take the following steps in order:Ĭreate a calculation using the DATEPARSE functionĬreate a calculation using the DATE function When dates are interpreted as strings, you will lose all of the features and conveniences of working with date fields, such as drilling down, using date calculations, and switching between Continuous and Discrete measures. ![]() If this happens, there are a few steps we can take to resolve the issue. Tableau does its best in interpreting the date fields, but sometimes a field will be imported to Tableau as a text string or numerical field. Each database stores Date fields in slightly different ways. ![]()
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