Joe,
What is the definition of tfrom? It's not defined in the gist that you
shared.
Thanks,
Vijay.


On Sun, Mar 30, 2014 at 5:12 PM, Joe Bogner <[email protected]> wrote:

> Thanks for the feedback. Confirming your replies below:
>
> On Sun, Mar 30, 2014 at 4:59 PM, Raul Miller <[email protected]>
> wrote:
>
> >
> > Sure you didn't mean for one of those to be distance driven?
> >
> >
> Yes, sorry, the columns are:
>
> Period, Car, Hours, Miles, Total Cost
>
> In this example, the car is logging trip start & end time (Hours). It's
> logging the # of miles driven. Let's assume the car is getting fueled up
> after each trip, so we know the cost.
>
>
>
> > Not to mention a 25% reduction in cars...
> >
> > Yes, I don't think the reduction in cars matters here though
>
>
> > I'd be tempted to set up a variety of simple models for cost, assume a
> > linear correlation and then use %. to see what kinds of numbers I get
> from
> > those.
> >
> Models might be:
> >
> > constant cost
> > linear cost based on speed
> > cost based on square of speed
> > cost based distance driven
> > cost based on mpg
> >
>
> This is somewhat similar to the path I was starting to go down. I'm not
> exactly sure how to make your suggestions actionable yet in terms of a
> model. If it's relatively simple to explain, I would be very interested
> (and others may be too).
>
> I was either going to:
> 1. Calculate the would-be cost by hold each variable constant. Example:
> calculate the cost if the the miles were the same and the speed were the
> same and then changing one at a time.
>
> 2. Calculate the impact by the ratio of each change -- assuming each are
> linear and on the same scale. 10% reduction in miles should be a 10%
> reduction in cost assuming MPH is held constant... Something like that
>
>
> I'll keep thinking and welcome all other ideas
>
> I have some crude code started here too that's using inverted tables:
> https://gist.github.com/joebo/fd61043076beafeace30 , just to make it more
> concrete
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