DAX formula for calculating grouped average from related table - excel

I'm trying to calculate the average age for different Groups. See Attached Picture. I have two related tables, and the result of the lower right pivot should match the pivot to its left. I'm fairly New to Power pivot and DAX-formula and I just can't seem to find a solution. Anyone?
Example

I think what you might be missing is the RELATED function. Try something like this:
test = AVERAGEX(Table2, RELATED(Table1[Age]))

Related

A frequency line chart from pivot table on excel

I have a data I want to sort into pivot-based graphs and I need help with it.
Below is an example of the data im sorting
Basically, I want the pivot to have a week number and category filter. Then for it to sort the data like a frequency based line-chart based on how many people have unit output in certain ranges. End product should look like this.
I am having trboule because every category has very different min and max points so it can't be done manually.
I tried to use a traditional pivot table but I cant get the frequency part down.
Thank you

Is there a way to sum data in Excel by group/category?

I'm completely new to Excel and am actually using it for the first time for a math paper, so I'm pretty lost to start with.
I have a large spreadsheet of data. It's organized in a table with the headers: country code, country name, date, and total. The dates range from April, 2020 to March, 2021 for 203 countries.
What I'm trying to do is to take the total amounts from each country each day.
I've included some screenshots from my excel spreadsheet:
Adding this data isn't so bad, right now I'm using the function =SUMIF(range, criteria (I'm just using ">0")). But when I have so much data to add, this feels really inefficient.
I was wondering if there was a function or if I could somehow create a function, that would let me input a country code and it would sum every row that has that country code? Or something similar that would speed up the process?
I'm sorry if this isn't the best-formatted question, it's my first time asking anything on Stack Overflow and I still new to the expectations from the community. Please let me know any extra information I can provide, ways I can clarify, or anything else.
Thank you to everyone in advance!
Depending on what you want to look at you can either use SUMIF / SUMIFS or a PIVOT table.
For your example above, I would recommend a PIVOT table. You can find further information on PIVOT tables here. Simply drag and drop the values you want to have in each row / column into the respective fields.
In case you then want the result to look nice, you can find information on formatting PIVOT tables here

PowerBI DAX: logic to use aggregated table as parameter in functions or another workaround to calculate dataset KPI filtered by any field?

In PowerBI, I need to create a Performance Indicator (KPI) measure which evaluates dataset values in a scale from 0 to 1, with target (1) being the MAX value in a 20 years history. It's a national airport trip records open database. The formula is basically [value]/[max value].
My dataset has a lot of fields and I wish I could filter it by any of these fields, with a line chart showing the 0-1 indicator for each month based on the filters.
This is my workaround test solution:
Table 1 - Original dataset: if I filter something here, below tables also update (there are more fields to the left, including YEAR and MONTH
Table 2 - Reference to original dataset, aggregating YEAR-MONTH by the sum of "take-offs" (decolagens)
Table 3 - Reference to above (sum) table, aggregating MONTH by the max of "take-offs" (decolagens)
Table 4 - 'Sum table' merged to 'Max table' by MONTH as new table: then do [Value]/[Max] and we've got the indicator
So if i filter the original dataset by any fields, all other tables update accordingly and the indicators always stays between 0-1, works like a charm.
TL;DR
The problem is: I need to create a dashboard of this on Power Bi. So I need this calculation to be in a measure or another workaround.
My possible solution: by pure DAX code in the measure field, to produce Tables 2 and 3 so I'll divide the month sum values by their month max value (which will both be produced according to PowerBi dashboard slicers) and get the indicator dinamically produced.
I'm stuck at: I don't understand how can I reference a sum/max aggregate table in dax code. Something like = SUM (dataset[take-offs]) / MAX (SUM (dataset[take-offs])). Of course these functions do not work like that, but I hope I made my point clear: how can I produce this four table effect with a single measure?
Other solutions are welcome.
Link to the original dataset: https://www.anac.gov.br/assuntos/dados-e-estatisticas/dados-estatisticos/arquivos/DadosEstatsticos.csv
It's an open dataset, so I guess there's no problem sharing it. Please help! :)
EDIT: please download the dataset and try to solve this. Personally I think it's a quality statistics doubt that will eventually help others. The calculation works, it only needs a Power Bi Measure port.
Add the ALL formula:
Measure = SUMX(ALL('Table'),[Valor])/SUM('Table'[Max])
Example

Replicating Excel averageifs in PowerBI

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.

Excel - Add function to those defined in Pivot Table

Good afternoon!
I've made a Pivot table from the data in the PowerPivot.
I would like to have in my pivot table the AverageIFS function instead of the Average one, because I want to calculate the average not including the registers that have 0. In the picture, the column that I use to calculate the average is Duree_Deplacem (in the picture).
I have found some information about what I need in https://support.office.com/en-us/article/change-the-summary-function-or-custom-calculation-for-a-field-in-a-pivottable-report-ea8945fb-9969-4bac-a16c-4f67b0f7b239, but it only uses the defined functions and doesn't give the option to use other functions. That makes me think it may be impossible. (?).
If you are using PowerPivot to make pivot table reports, it's a big mistake trying to use calculated fields in a pivot table. It's like using a horse to pull a Ferrary.
PowerPivot has its own language called DAX, with which you can write dynamic formulas that are much more powerful and flexible than the calculated fields. But you will need to invest some time to educate yourself - you must understand what you are doing.
Here is an example of a starter tutorial
Once you understand what a Measure is, your problem can be solved as follows:
Average Without Zeros = CALCULATE( AVERAGE(Table[Field]), Table[Field] > 0)
where Table is the name of your table, and Field is the name of the field you are averaging.
If you drop this measure into a pivot table, it will calculate averages correctly, in any pivot table layout.
Once you see how it works, your life will never be the same :)
If you decide to learn DAX and PowerPivot more seriously, I recommend this book to start with:
Power Pivot and Power BI: The Excel User's Guide to DAX

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