I'm having difficulty replicating the following Excel calculation in power BI
=IFERROR(AVERAGEIFS(Data!$I:$I,Data!$A:$A,Tables!$C$2,Data!$B:$B,Tables!$E$2,Data!$E:$E,Tables!$B5), "N/A")
I am trying to calculate an average on 3 values, area, period and metric. In power bi using the quick measure it returns either the count of the metric title or the average of the metric, with an additional row for the values that are marked as n/a.
Count of Raw_Score average per metric_ref =
AVERAGEX(
KEEPFILTERS(VALUES('Data'[metric_ref])),
CALCULATE(COUNTA('Data'[Raw_Score]))
)
files / images here
maybe I understood the question wrong, so feel free to correct me, but you are simply trying to calculate an average for different groups, is that so?
First, when working with PowerBI do yourself a favor and forget how Excel works, your life ll be much easier.
Now for the solution.
The trouble is, that your score metric is not a correct data type for average calculation. In Edit Queries, change data type to number (prior step of replacing "N/A" to "" might be required)
(optional step) I would recommend fixing data type of all relevant columns.
With data in correct format, you simply create visualization and slice it with grouping label. Something like this:
Notice the small arrow near the Value-theme_ref field (in your case you should probably substitute it with Raw_Score columns). You simply change the calculation from Sum to Average, which should do the trick.
Once again, I apologize if I misunderstood the question. Feel free to specify.
The Problem:
I need to calculate only the slope's standard error.
I have a large data set and I need to calculate more than 1200 different Slope's SE values (and use them for further calculations).
I couldn't find a way only to calculate the slope's standard error.
What I can do but prefer to avoid:
I know that the function LINEST can calculate it using the Array formulas (CSE) that LINEST has. However I do not want to do and re-do over 1200 times it in order to extract just the one value (the Slope's SE) that I need.
Data-set example:
I need to calculate the slope standard error of yx1 (B1:F1,B2:F2), yx2 (B1:F1,B3:F3), yx3 (B1:F1,B4:F4), etc.
Some ideas for solutions:
If anyone can help or recommend a way to get only the slope's standard error value (of 2 variables series) it would be great and save me tons of time.
It can be a formula, a combinations of formulas or a way to use LINEST and extract only the Slope's standard error value.
Thanks!
You can use INDEX with LINEST to pull one number. Use Absolute and Relative References:
=INDEX(LINEST($B$1:$F$1,B2:F2,TRUE,TRUE),2,1)
Put that in G2 and copy down. It will change the known x reference as it does so while keeping the known ys.
And the INDEX returns only the SE of the slope Row(2)Column(1) Number
I have a homework assignment where I need to run 1000 simulations in excel using an exponential distribution. I'm not sure how to get excel to give me the data I need. This is the question (the first part, at least):
I've figured out how to use the exponential distribution formula in excel, but I can't get it to return any values greater than 1. I think it's just the nature of that function, but I can't figure out how to get Excel to display the simulated lifetimes of the components. Any help at all would be much appreciated.
with λ in cell N4, the formula =-1/$N$4*LN(1-RAND()) yields a random number from the exponential distribution with parameter λ
from http://www.tushar-mehta.com/publish_train/xl_vba_cases/0806%20generate%20random%20numbers.shtml
What I have attempted:
AVERAGEIF(B11:V11,">+MEDIAN(B11:V11)")
What I am trying to do:
I would like to take the average of the upper half of given data. Elaborating more. I would like to find a formula that will allow me to remove a given lower fence of outliers and dissect the data then given to me. I would greatly prefer to maintain this formula within one cell "not grabbing different results from formulas within multiple cells".
Update:
Following through I found the solution.. I think.
One thing I should have explained further:
The data coming in replicating a typical sqrt function.
What I wanted to achieve is to capture the mean of the "plateau" of the data.
The equation I used was:
=AVERAGEIF(B3:B62,(">"&+TRIMMEAN(B3:B62,0.8)),B3:B62)
This was something I just copied and pasted. of course "B3" and "B62" are significant only for my application.
My rough explanation of the equation:
TRIMMEAN will limit the AVERAGE to the top 20%(">")(0.8) of the data selected. So for my application, this SHOULD give me a rough mean of the "plateau" of the data i would like to find the mean for.
This formula calculates the Median() of the range, then AverageIf() uses the median and only grabs values that are greater than or equal to >= the median ~ giving you the average of the 'top-half' of your values.
AVERAGEIF(A1:A10,">="&MEDIAN(A1:A10))
Hope this help!
I'm sure this is the kind of problem other have solved many times before.
A group of people are going to do measurements (Home energy usage to be exact).
All of them will do that at different times and in different intervals.
So what I'll get from each person is a set of {date, value} pairs where there are dates missing in the set.
What I need is a complete set of {date, value} pairs where for each date withing the range a value is known (either measured or calculated).
I expect that a simple linear interpolation would suffice for this project.
If I assume that it must be done in Excel.
What is the best way to interpolate in such a dataset (so I have a value for every day) ?
Thanks.
NOTE: When these datasets are complete I'll determine the slope (i.e. usage per day) and from that we can start doing home-to-home comparisons.
ADDITIONAL INFO After first few suggestions:
I do not want to manually figure out where the holes are in my measurement set (too many incomplete measurement sets!!).
I'm looking for something (existing) automatic to do that for me.
So if my input is
{2009-06-01, 10}
{2009-06-03, 20}
{2009-06-06, 110}
Then I expect to automatically get
{2009-06-01, 10}
{2009-06-02, 15}
{2009-06-03, 20}
{2009-06-04, 50}
{2009-06-05, 80}
{2009-06-06, 110}
Yes, I can write software that does this. I am just hoping that someone already has a "ready to run" software (Excel) feature for this (rather generic) problem.
I came across this and was reluctant to use an add-in because it makes it tough to share the sheet with people who don't have the add-in installed.
My officemate designed a clean formula that is relatively compact (at the expensive of using a bit of magic).
Things to note:
The formula works by:
using the MATCH function to find the row in the inputs range just before the value being searched for (e.g. 3 is the value just before 3.5)
using OFFSETs to select the square of that line and the next (in light purple)
using FORECAST to build a linear interpolation using just those two points, and getting the result
This formula cannot do extrapolations; make sure that your search value is between the endpoints (I do this in the example below by having extreme values).
Not sure if this is too complicated for folks; but it had the benefit of being very portable (and simpler than many alternate solutions).
If you want to copy-paste the formula, it is:
=FORECAST(F3,OFFSET(inputs,MATCH(F3,inputs)-1,1,2,1),OFFSET(inputs,MATCH(F3,inputs)-1,0,2,1
(inputs being a named range)
There are two functions, LINEST and TREND, that you can try to see which gives you the better results. They both take sets of known Xs and Ys along with a new X value, and calculate a new Y value. The difference is that LINEST does a simple linear regression, while TREND will first try to find a curve that fits your data before doing the regression.
The easiest way to do it probably is as follows:
Download Excel add-on here: XlXtrFun™ Extra Functions for Microsoft Excel
Use function intepolate().
=Interpolate($A$1:$A$3,$B$1:$B$3,D1,FALSE,FALSE)
Columns A and B should contain your input, and column G should contain all your date values. Formula goes into the column E.
A nice graphical way to see how well your interpolated results fit:
Take your date,value pairs and graph them using the XY chart in Excel (not the Line chart). Right-click on the resulting line on the graph and click 'Add trendline'. There are lots of different options to choose which type of curve fitting is used. Then you can go to the properties of the newly created trendline and display the equation and the R-squared value.
Make sure that when you format the trendline Equation label, you set the numerical format to have a high degree of precision, so that all of the significant digits of the equation constants are displayed.
The answer above by YGA doesn't handle end of range cases where the desired X value is the same as the reference range's X value. Using the example given by YGA, the excel formula would return #DIV/0! error if an interpolated value at 9999 was asked for. This is obviously part of the reason why YGA added the extreme endpoints of 9999 and -9999 to the input data range, and then assumes that all forecasted values are between these two numbers. If such padding is undesired or not possible, another way to avoid a #DIV/0! error is to check for an exact input value match using the following formula:
=IF(ISNA(MATCH(F3,inputs,0)),FORECAST(F3,OFFSET(inputs,MATCH(F3,inputs)-1,1,2,1),OFFSET(inputs,MATCH(F3,inputs)-1,0,2,1)),OFFSET(inputs,MATCH(F3,inputs)-1,1,1,1))
where F3 is the value where interpolated results are wanted.
Note: I would have just added this as a comment to the original YGA post, but I don't have enough reputation points yet.
alternatively.
=INDEX(yVals,MATCH(J7,xVals,1))+(J7-MATCH(J7,xVals,1))*(INDEX(yVals,MATCH(J7,xVals,1)+1)-INDEX(yVals,MATCH(J7,xVals,1)))/(INDEX(xVals,MATCH(J7,xVals,1)+1)-MATCH(J7,xVals,1))
where j7 is the x value.
xvals is range of x values
yvals is range of y values
easier to put this into code.
You can find out which formula fits best your data, using Excel's "trend line" feature. Using that formula, you can calculate y for any x
Create linear scatter (XY) for it (Insert => Scatter);
Create Polynominal or Moving Average trend line, check "Display Equation on
chart" (right-click on series => Add Trend Line);
Copy the equation into cell and replace x's with your desired x value
On screenshot below A12:A16 holds x's, B12:B16 holds y's, and C12 contains formula that calculates y for any x.
I first posted an answer here, but later found this question