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Describe the feature:
Currently, data tables repeat information across multiple columns as rows are split out by different values. This can make it difficult to read across rows at time, particularly if all but the last column contain the same values. It would be very useful to be able to toggle a setting to group like rows in the table, only showing the common values once with the unique values split out where needed:
Example:
Name
Category
Value
John
ABC
1
John
ABC
2
John
ABC
3
Jane
DEF
4
Ideally presented as:
Name
Category
Value
John
ABC
1
2
3
Jane
DEF
4
Describe a specific use case for the feature:
Provides support for analytics where data tables are being used to provide a breakdown of information for analysis. A customer has requested this feature to enhance analysts experience in the tool is for quickly viewing transactions between two parties which are split out by timestamp. Using this feature, the analysts can clearly see a delineation between where the transactions from one party stop, and where the next begin. This makes it much easier for them to read and analyse the findings.
The text was updated successfully, but these errors were encountered:
Describe the feature:
Currently, data tables repeat information across multiple columns as rows are split out by different values. This can make it difficult to read across rows at time, particularly if all but the last column contain the same values. It would be very useful to be able to toggle a setting to group like rows in the table, only showing the common values once with the unique values split out where needed:
Example:
Ideally presented as:
Describe a specific use case for the feature:
Provides support for analytics where data tables are being used to provide a breakdown of information for analysis. A customer has requested this feature to enhance analysts experience in the tool is for quickly viewing transactions between two parties which are split out by timestamp. Using this feature, the analysts can clearly see a delineation between where the transactions from one party stop, and where the next begin. This makes it much easier for them to read and analyse the findings.
The text was updated successfully, but these errors were encountered: