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Visual Analytics offers you the ability to "fill in" missing data in your data set. There are two main types of Data Densification in Visual Analytics:
- Domain Padding shows missing records in a range and completes the range in chronological order.
Right click on the date field or numeric bin in the Columns Deck and select Show Missing Values. - Domain Completion completes data by showing all available records.
Right click on the field in the Columns/Rows Deck and select Show Empty Columns/Rows.
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Show Missing Values (Domain Padding) is available on right-click of the date dimension and bins.
When you apply domain padding to a date dimension, all hierarchies of the same date dimension inherit domain padding. On expanding a hierarchy, Visual Analytics automatically displays the missing values in that hierarchy.
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Domain Completion completes data by showing all available records for the specified dimension based on the unique values in your data set. Let’s consider a scenario where you want to compare the weekly attendance for each student of your class. Now, if a student does not attend a particular lecture for an entire week, the corresponding record might not be present in your data set. On applying domain completion on Period, Visual Analytics completes the record by displaying missing lectures for the students.
| Before applying Domain Completion, the missing lectures for John and Riya are not displayed | After applying Domain Completion; Visual Analytics displays the missing lectures for John and Riya |
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Show Empty Rows (Domain Completion) is available on right-click of a dimension.
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