Dec
27
Charting Project Flow via Multiple Data Densifications
Note first that here I loosely define data densification as what includes both interpolation and extrapolation of data marks as well as their associated values.
Below is a charting example in Tableau with a particular interest in using multiple data densification techniques.The use case
I was given a minimum data set such as a series of task-date pairs.
In its Tableau visualization, we used 4 densification techniques:
1.Densification of dates
The dates of tasks in the data table are discrete. Many dates in between are missing. By turning on Show Missing Dates, we are able to view all the dates. This way we densified the dates to be contiguous. We added a lot of extra data marks to the original 4 marks.
Below is a charting example in Tableau with a particular interest in using multiple data densification techniques.The use case
I was given a minimum data set such as a series of task-date pairs.
In its Tableau visualization, we used 4 densification techniques:
1.Densification of dates
The dates of tasks in the data table are discrete. Many dates in between are missing. By turning on Show Missing Dates, we are able to view all the dates. This way we densified the dates to be contiguous. We added a lot of extra data marks to the original 4 marks.
