Every row of data in a data set now automatically has its own virtual data point ID number, which allows for more ways to visualize data sets that do not already contain number fields. For example, if a data set has 5 rows of data, each row of data will have the data point ID number 1, 2, 3, 4, and 5, respectively. Additionally, while visualizing multiple data sets, you can group by combined data sets to combine rows of data with the same virtual data point ID number.
Looking ahead, iSENSE users should get excited about the following new features soon to come.
- Users will soon be able to view which data sets were contributed using contribution keys and sort data sets by contribution keys.
- A new call to append to data sets will soon be added to the API. More details on this call will be added to the API documentation in the next few weeks.
- A new and improved text editor will soon replace ckeditor.