From: | Robert DiFalco <robert(dot)difalco(at)gmail(dot)com> |
---|---|
To: | Paul Jungwirth <pj(at)illuminatedcomputing(dot)com> |
Cc: | "pgsql-general(at)postgresql(dot)org" <pgsql-general(at)postgresql(dot)org> |
Subject: | Re: Average New Users Per DOW |
Date: | 2015-07-06 18:04:27 |
Message-ID: | CAAXGW-wc2sDxrxYLjPd_Bsf=AbTYOTNO4g-44ufp6L1s-YN33g@mail.gmail.com |
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Lists: | pgsql-general |
Thanks Paul, I guess I'm not sure how a generate_series between 0 to 6
would solve this problem. Wouldn't I have to generate a series based on the
date range (by day) and then group by DOW _after_ that? Can you give me an
example of how I'd do it with a series based on 0 to 6?
On Mon, Jul 6, 2015 at 10:58 AM, Paul Jungwirth <pj(at)illuminatedcomputing(dot)com
> wrote:
> > I'm not sure how to create a result where I get the average number of
> > new users per day of the week. My issues are that days that did not
> > have any new users will not be factored into the average
>
> This is a pretty common problem with time-series queries when there is
> sparse data. My go-to solution is to use generate_series---in your case
> from 0 to 6---then do a left join from there to your actual data.
>
> Paul
>
>
>
>
>
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