Return the max in each row for tableau - max

I have a table in Tableau, I want to create a calculated field to return the MAX for each row.
So in the example below, I would create an additional column returning the MAX. Los Angeles would return Mickey, New York would return Donald, Dallas would return Donald, and so forth.
What would be in the calculated field? Or would it be a filter of some sort?

Related

If a record doesn't not exist in table (filters applied), I want my && function to return 1 in DAX measure

I have added image which will describe data and matrix i want to create
I have to use simple DAX to show if vehicle has taken a trip and it has not refueled that day. So it should return 1 in my measure.
I am using IF Table 1[Miles]>1 && Table2 [fuel]<0 , it should return 1, filters (Date and Vehicle Number). it returns blank in my matrix
The day vehicle doesnt refill , no record is entered, so if i check data behind, apply date filter , i donot get any rows.
I want my DAX to return 1 if it doesnt find any record
According to the fuel not being negative, At most zero, and based on this condition:
Here is the relationship formed [Vehicle ID]:
Also you need to enter data for Car ID2 Fuel information:
Now You need to create your measure to use in matrix visual:
YourMeasure = CALCULATE(
SUMX('Data Table2',
IF(RELATED('Data Table1'[Miles])>1 && 'Data Table2'[Fuel]= 0, 1)))
And finally test it on the visual:

Power Bi: Min and Max Row Values for measures in a separate table

Got stuck with a quite, in my opinion, complicated task. There is a matrix of Measures (Rows) for Countries (Columns), which looks as following:
There is a number in each of the colored boxes, which is just conditionally formatted for the visualisation purpose. What is required: another table or matrix with the same measures (Rows) but instead of countries - Min and Max Columns (Min- minimum value for each measure in a row from the above table, Max - maximum value for each measure in a row from the above table).
Is this achievable? If yes, are there any suggestions from your side? thank you very much,
Sincerely,
Pavlo
You need a table with 2 values: Min and Max (let's call it MinMaxTable)
And you need 3 new measures, all with the same pattern:
Rank Sales EUR (min/max)=
VAR min_or_max = SELECTEDVALUE(MinMaxTable[Min or Max])
VAR tbl = SUMMARIZE(countries, countries[country], "rank", [Rank Sales EUR])
RETURN IF(min_or_max = "Min", MINX(tbl, [rank]), MAXX(tbl, [rank]))

How do I average a column of values filter by categories? In Power Bi

So I have a table that have a column with values and an other with the category "National" or "International".
I need to calculate the average percentage of the values in the national category! And only return the value in % so that i can see it on a card.
Example of the data i have
Need to see it in a visual like this
National =
CALCULATE(
COUNTA('SEGUIMIENTO'[Tipo]),
'SEGUIMIENTO'[Tipo] IN { "Nacional" }
)
%National =
DIVIDE(
[National],
COUNTA('SEGUIMIENTO'[Tipo])
)

Laravel Eloquest join with max adn min value

Im trying to build a query that pulls the information from one table and also pulls the max and min value of that product in another table but cannot seem to get this to work.
This is what I have:
$rentals = Rentals::select('rentals.main_image','rentals.rental_name','rentals.slug','rentals.summary',DB::raw('max(prices.price) as price_high'),DB::raw('min(prices.price) as price_low'))
->leftjoin('prices', 'rentals.id', '=', 'prices.rental_id')
->where('destination',$destination_id)->paginate(6);
This returns 1 row ( there should be 88 ) and it gets me the highest and lowest price in the table regardless of rental_id. There are other factors that will filter into this like dates but for now I just need the rental info plus the highest and lowest price for that rental.

How to get the difference between the values selected by slicer?

I am new to Power BI and currently I am working with table visulaizations and slicers.
My data is as follows
Student table:
Date table:
Exam table:
The relationships within the table are as follows:
I want an output like the image shown below, I would like to create 2 table visuals that can be filtered on Student Name, Classroom and also have slicer on 2 dates. I need to compute minimum score. The user must be able to select 2 dates at a time on the slicer, the first date selected on the slicer should be attached to my 'Min Score at date1' and second date selected on the slicer should be attached to my 'Min Score at date2', and the third column 'Difference in Score' must be able to calculate the difference between the Min Score at date1 and Min Score at date2.
Similarly I also want to calculate the average minimum score too
Please let me know how to proceed or what alternative formula or query or method should I apply to get the desired result.Thanks!
Before I start, let me mention that this example was done in SSAS so it may need some tweaking in PowerBi but the logic is identical nonetheless.
First create a clone date table and call it something else e.g. 'Compare Date'. Next, create an inactive, one to many relationship between the 'Compare Date' and your 'Fact' table, see the image below, in this case I am joining on [Year Month], you will need to adjust to fit your needs:
If you are unsure how to do this, just right click on the new table and select the create relationship option, ensure that the relationship is like the image below:
Once this has been done, right click on the 'relationship' and mark it as inactive.
Now that you have the new date table and the relationships set up, I want you to create a few DAX measures:
Min Date 1 = Min('Student Table'[Score])
Min Date 2 = CALCULATE(Min('Student Table'[Score]), ALL('Dates'), USERELATIONSHIP('Compare Date'[Date], 'Fact'[Date]))
Avg Date 1 = AVERAGE('Student Table'[Score])
Avg Date 2 = CALCULATE(AVERAGE('Student Table'[Score]), ALL('Dates'), USERELATIONSHIP('Compare Date'[Date], 'Fact'[Date]))
Delta Min = [Min Date 2] - [Min Date 1]
Delta Avg = [Avg Date 2] - [Avg Date 1]
These measures will calculate exactly what you need and can be filtered independently via two date slicers tied to each date table. The rest is just busy work.
I hope this helps.

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