After opening the settings dialog for a derived dataset (see https://support.lityxiq.com/241959-EditingDefining-a-Dataset-View), follow these steps to define an aggregation step. It is not required that a derived dataset have an aggregation defined. If an aggregation is defined, the resulting dataset will have fewer (usually many fewer) records than the original datasets. The number of records will be the total number of different combinations of the selected aggregation variables (see below). There is an option to instead (or also) aggregate individual variable levels. See below for more explanation.
1) If the Aggregate panel is not already opened, click on that panel header to open it. Then click the Edit button. Note that if this view had previously been defined, you may see information on the currently defined aggregation displayed in this panel, and you can click the Edit button to proceed with changing the aggregation. The Delete button removes the defined aggregation.
2) The Define Aggregation dialog will appear. The two areas of this dialog are explained below.
Aggregation Variables Tab
Choose Aggregation Variables - In this box, select the variables that will be used for aggregation of the dataset. Specifically, all combinations of the values of the selected variables that are in the dataset will lead to a row in the result set.
Aggregation Type - This dropdown box has two choices:
- Summarize Over all Level Combinations - this is the standard aggregation option. For example, if you select State and Gender (50 values in a dataset; 2 values in the dataset), the result of the aggregation will be 100 rows (or fewer if all state/gender combinations do not exist in the data). This count would change if Individual Level variables are selected.
- Summarize Separately for Individual Variable Levels - this option allows you to additionally have the results aggregated separately for each unique level of the variables selected in the Choose Individual Variables box. A full explanation of aggregating over Individual Variable Levels is provided here: https://support.lityxiq.com/788290-Comparison-of-Aggregation-Types
Choose Individual Variables - this box is available if you select Summarize Separately for Individual Variable Levels as the Aggregation Type.
In the Summaries tab, you will define which data summaries will be computed for each combination of the values of the aggregation variables and/or individual level variables. Below is an overview of using this tab to define summaries.
Aggregation Summaries - this area lists the summary calculations you have already defined. You can drag and drop them to re-order them, or use the buttons to delete or edit the existing definitions.
Save These Changes button - click this button when you are finished defining an aggregation summary. This will add the definition to the Aggregation Summaries area.
Reset button - this will clear out any selections you have made to start with a fresh aggregation summary definition.
Select Variables on Which to Compute Summaries - this dropdown list will show all variables currently in the dataset entering this aggregation step. Select one or more variables on which you want to compute summaries. If you select multiple variables, the selected summary statistics will be applied to all selected variables. Note that if you select variables that do not match up well with the selected summary statistics, they will simply be ignored. For example, if you select a variable Address (a string variable) and also the Average summary statistic, that operation will be ignored and not throw an error. This makes it easier to defined a large set of operations in one definition without having to worry about matching up variable types with operations.
Select Summary Statistics to Compute - this dropdown list will show all of the available summary statistics or operations that are available for computation. The options available are:
- Average - the mean or average of the variable.
- Weighted Average - the weighted average of the variable. This requires also selecting a weighting variable.
- Correlation Coefficient - the correlation of the variable with any variables also selected in the weighting/correlation variables box.
- Sum - the sum of the variable.
- Count - the count of all rows (regardless of null or non-null values).
- Count Non-NULL - the count of all non-null values of the variable.
- Count NULLs - the count of null values of the variable.
- Minimum - the minimum value of the variable.
- Maximum - the maximum value of the variable.
- Zero Count - the number of values that are exactly zero.
- Variance - the sample variance of the variable.
- Standard Deviation - the sample deviation of the variable.
- Concatenate - this is a special aggregation function that concatenates the unique values of the value together into a single string, using comma as the separator. This option can create very long values. Note that the maximum string length allowed is 10,000 characters. If you define a concatenation that results in a string longer than this limit, an error will occur.
Weight/Correlation Variables - if either the Weighted Average or Correlation Coefficient summary statistics were selected, this box will become available. Only numeric variables (integer or decimal) are shown. You can select one or multiple variables in this box. All combinations of these variables with the selected variables in the Compute Summaries list will be used to compute weighted averages and/or correlation coefficients.
New Variable Name Template - Enter the name for the new variable(s) that will be created from this aggregation. Since many new variables may result from a single aggregation definition (for example, if you have multiple variables and/or statistics selected), you would often enter a template for how those variable names would be created. If you have selected multiple variables to aggregate, the template [@var] must be used somewhere in this name in order to differentiate between them. If you have selected multiple summary statistics, the template [@stat] must be used somewhere in this name. If you have selected multiple weight/correlation variables, the template [@wtvar] must be used somewhere in this name.
A sample result is below.
3) When finished, click Save. This will return you to the main ‘Edit View’ dialog. Selecting ‘Delete’ will cancel any changes made.