Use the drop-down menu to change a field's data type. For example, you can't apply an arithmetic function to a Text field, or use a Number field as the date range dimension in a report. Data type determines how the data appears in your reports, which operations are allowed for it, and which are not. Data typeĪ field's data type tells Data Studio what kind of data to expect when processing the field. To change the name, click the field and type a new one.
#Valentina studio field icon full#
If the name is too long to display completely, hover over it until the full name appears. This is the name that appears in any chart that uses this field. Field propertiesĪll fields have the following properties, derived from the underlying data set: Name Metrics (aggregated data) appear as blue fields. Dimensions (unaggregated columns that you can group by) appear as green fields.
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When you connect to your data in Data Studio, you'll see the list of fields along with their default properties, as shown below. You can use parameters to customize or personalize your reports and data sources based on user input or variables defined in the underlying data set, such as a BigQuery custom query parameter.ĭimensions and metrics in your data source A calculated field appears as metric or dimension depending on the output of the formula. Calculated fields are fields you create by applying functions, operators, and/or branching logic to your data.That aggregation could come from the underlying data set, or be the result of implicitly or explicitly applying an aggregation function, such as COUNT(), SUM(), or AVG().
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Note that any type of data can be a dimension, including a column of unaggregated numbers.Ī metric is the result of applying an aggregation to a set of values. Campaign name, Product ID, and Country are all examples of dimensions you might use to group the information in a chart. Dimensions describe or categorize your data.Īdding dimensions to a chart groups the data by those dimensions.Override default type and aggregation in chartsĭata sources can contain the following kinds of fields:.Calculated fields, type, and aggregation.Dimensions and metrics in your data source.