To the file, Tableau creates a field in the appropriate area of Values that are all of the same data type (Booleans, dates, numbers, or text). Mixed data types in data from filesĬolumns in a Microsoft Excel, Microsoft Access, or CSV (comma-separated value) file contain Warning appears in the right corner of the status bar. When you add these values to the view, a precision Note: Sometimes the data in your database is more precise then To change a field's data type in a view, right-click (control-click on a Mac) the field in the Data pane, choose Change Data Type, and then select the appropriate data type from the drop-down list. To change the data type of a field in the Data pane, click the icon to the left of the field name, and then choose a new data type from the drop-down list.Ĭhange the data type for a field in the view

Change the data type for a field in the Data pane For example, if a floating-point field in the original data source is interpreted as an integer by Tableau, and you create your extract before you change the field's data type, the resulting floating-point field in Tableau will have some of its precision truncated.įor information on changing data types on the Data Source page, see Data Source Page. Otherwise, your data may not be accurate. Tip: Be sure to change data types before you create an extract. You can change the data type for a field that was part of the original data source (as opposed to a calculated field created in Tableau) on the Data Source page.Ĭlick the data type icon for the field (as shown in the table above).Ĭhoose a new data type from the drop-down list: For example, Tableau might interpret a field that contains dates as an integer data type, rather than a date data type. Sometimes Tableau incorrectly interprets the data type of a field. Change the data type for a field in the Data Source page You can change the data type for a field either on the Data Source page or in the Data pane. The data type of a field is identified in the Data pane by one of the icons shown below.Ĭluster Group (used with Find Clusters in Data (Link opens in a new window)) The data type reflects the kind of information stored in that field, for example integers (410), dates () and strings (“Wisconsin”). All fields in a data source have a data type.

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