Csaba, have the same wish for extracting the simple linear fit equation
from trendline (top chart), and recast trendline overlay on histogram
(bottom chart).
Q: any update or alternate pathway to accomplish that using Google Chart?
On Saturday, September 30, 2017 at 10:41:11 PM UTC-5 Csaba
Have you made any progress on this yet? You asked the question over two
years ago. We gave you some feedback. Your indecision would make Hamlet
proud.
Just sayin...
Nick
On Tuesday, October 28, 2014 at 6:33:35 PM UTC, Sergey wrote:
>
> Dearest Google Charts users,
>
>
> We have been working
I would suggest the 3rd option, return an array of coefficients. You can
quickly determine the order and access the coefficients efficiently.
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Hi Sergey,
funny I was just searching for a method to do this. It would be great to
return the plane Formula, but maybe one of the simplest additional
functions would be a method where i hand over an X or Y-Value and the
function returns the trendline-value. It looks like this post has been
>
> Sergey,
>
I am interested in being able to apply a trendline by equation rather than
by data-points. I am looking at ways to visualize big data predictive
analysis and have the charting provide a representative scatter chart plus
my predicted trendline where I provide the equation plus
Dear Sir,
My Chart output should be http://onnetsourcing.com/vivera/chart.html . Here
I have manually added the data in the code. Actually this process should be
automatic. I have taken data from mysql table but I could not enter the
data in the matrix format. Please help me to get the data
Hi Nick,
Thanks for your message.
We currently don't have any way of exporting trendline data. The entire
purpose of this thread was to figure out what data people actually wanted.
However, it seemed to me that the thread didn't reach consensus, and some
of the posts were just flatout off-topic.
Hi Sergey,
Thanks for getting back to me.
It would be great if something could be done on the trendline export. Even
if it is just a hack (as I said, you do have the info already in the
tooltip).
For what it's worth here is my two cents. It was a nice gesture to ask
everyone 15 months ago what
Hi Sergey,
I wanted to resuscitate this thread because I had a couple of questions.
Firstly, what is the current official method for exporting trendline data?
I know that your API stores the information because it appears in the
trendline tooltip. Suppose I want to get that information in an
Hi,
I was wondering
Why not go at it like this: let us select out ot of a list of a set of
matching algorithms and provide a dataset, you guys run the dataset through
all of these determining ftting scores and generate the graph using the
best fitting one, and return some numeric data
Hi!
I really like the trendline functionality. I need to the trendline
functions to calculate forecast values. Some sort of function where you
could add a x-value and the function returns the y value would be great
for me. Is this sort of functionality coming to the api or should I look
else
Sergey,
I also like the idea of an array of coefficients. Not only would it be
easier to do calculations on, but it lends itself to adding additional fit
information later on, such as the confidence intervals, or the
goodness-of-fit measures.
Joshua
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I would like an array of coefficients. Its much easier to understand to me
than the other two options. Currently I calculate the trendline myself
(3rd - 6th order polynomial) and store the resulting coefficients in an
array. I then have to create a dataset using the equation to graph over
pd
Le mardi 28 octobre 2014 19:33:35 UTC+1, Sergey a écrit :
Dearest Google Charts users,
We have been working hard on improving charts, and now need your input. We
are considering adding a few methods to our corecharts to help you get data
about your trendlines, such as the r^2 value.
Sergey
I rather like your curve fitting charts - in fact I think the whole Charts
product is really well done - so thanks for a lot of great work.
One use I have been making of your trendlines is to simply fit curves to
data points with the intention of then using the results inside a new
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