Sorry if this has already been brought up...did a few searches and couldn't 
find anything.

I have a project that collects a wide range of datasets that are updated 
either daily, weekly, monthly, quarterly or yearly.  There's some backend 
datacrunching that compares trends from these different datasets over a 
given time period.

The problem I'm having is displaying all these different datasets on the 
same chart when some of them are, say, monthly, some are weekly, etc.  The 
most basic workaround is to fill in daily values for all of the datasets 
based on whatever time period they take place.  So if August 2012 is 43 for 
a given measure, then I make 1 Aug = 43 = 2 Aug = 3 Aug....  However, this 
makes 'steps' in the data and is a bit misleading.

Another option is to make the data 'daily' again, but this time interpolate 
values.  This gets rid of the steps, and makes the graph look basically how 
I want it.  But if you do this, you have popups on every interpolated 
value, giving a false impression that a given value is date-specific, vice 
an interpolation.

Has anyone run into the same issue?  Any ideas for a better workaround?

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