What is the best way to display a distribution of some values like below:

3.239255,3.501542,4.051384,4.051477,0.000000,4.339824,4.564202,Tue 4 Apr 2017 01:20:32 UTC
0.229922,0.457110,0.989821,0.989896,0.000000,1.233979,1.683616,Tue 4 Apr 2017 01:21:04 UTC
0.232324,0.456637,0.990802,0.990862,0.000000,1.233964,1.682308,Tue 4 Apr 2017 01:21:36 UTC

I was thinking something like histogram or a scatter plot to show frequency of each. Unfortunately Wave doesn't seem to support time data type so I cannot create grouping by it. Are the some alternatives?


You can use the Date format to load datetime values. While your specific datetime examples aren't supported by the platform, if you can convert them to something like 04/04/2017 01:20:32 AM which is supported.

I don't have any details for your data pipeline, so here's a generic example of datetime pre-processing in Python:

import datetime
oldDate = "Tue 4 Apr 2017 01:20:32 UTC"
datetime.datetime.strptime(oldDate, '%a %d %b %Y %I:%M:%S UTC').strftime('%m/%d/%Y %I:%M:%S %p')
'04/04/2017 01:20:32 AM'

Hope that helps!

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