I have a parameter 'type' in a table and it can have multiple values as follows -
human
chimpanzee
orangutan
I have 3 columns related to each type in the table -
human_avg_height, human_avg_weight, human_avg_lifespan
chimpanzee_avg_height, chimpanzee_avg_weight, chimpanzee_avg_lifespan
orangutan_avg_height, orangutan_avg_weight, orangutan_avg_lifespan
So if i select the type as human, the quicksight dashboard should only display the three columns -
human_avg_height, human_avg_weight, human_avg_lifespan
and should not display the following columns -
chimpanzee_avg_height, chimpanzee_avg_weight, chimpanzee_avg_lifespan
orangutan_avg_height, orangutan_avg_weight, orangutan_avg_lifespan
I created the parameter type and in the add calculated fields I am trying to use ifelse to select the columns based on the parameter selected as follows -
ifelse(${type}='human',{human_avg_height}, {human_avg_weight}, {human_avg_lifespan},{function})
I also tried -
ifelse(${type}='human',{{human_avg_height}, {human_avg_weight}, {human_avg_lifespan},{function}})
And -
ifelse(${type}='human',{human_avg_height, human_avg_weight, human_avg_lifespan},{function}})
But none of it is working. What am i doing wrong ?
One way to do this would be to use three different calculated fields, one for all the heights, one for weights and one for lifespan. The heights one would look like this:
ifelse(
${type}='human',{human_avg_height}, ifelse(
${type}='chimpanzee', { chimpanzee_avg_height}, ifelse(
${type}='orangutan',{ orangutan_avg_height},
NULL
)))
Make another calculated field for weights and lifespan and then add these calculated fields to your table, and filter by type.
To make it clear to the viewer what data is present, edit the Title of the visual to include the type:
${type} Data
You have to create one calculated field for each measure using the ifelse with the type to choose the correct vale, but is not necessary to create inner ifelse as skabo did, the if else syntax is ifelse(if, then [, if, then ...], else) so you can define the calculated fields as follows:
avg_height = ifelse(${type}='human', {human_avg_height}, ${type}='chimpanzee', {chimpanzee_avg_height},${type}='orangutan', {orangutan_avg_height}, NULL)
avg_weight = ifelse(${type}='human', {human_avg_weight}, ${type}='chimpanzee', {chimpanzee_avg_weight},${type}='orangutan', {orangutan_avg_weight}, NULL)
avg_lifespan = ifelse(${type}='human', {human_avg_lifespan}, ${type}='chimpanzee', {chimpanzee_avg_lifespan},${type}='orangutan', {orangutan_avg_lifespan}, NULL)
Then use those calculated fields in your visuals.
Within PQ, I have a table of data (below) to which I am trying to determine whether all the columns titled Plan Status-# are the same, excluding blanks, and if all the same, display that value and if not display "Varies across plans"
The PQ code is below where I use List.Distinct to create a list of all "unique values".
I then use List.Count to count this number in the list and if 1, set the column equal to the Distinct value.
If List.Count({List.Distinct({[#"Plan Status-H"],[#"Plan Status-D"],[#"Plan Status-S"],[#"Plan Status-M"],[#"Plan Status-C"],[#"Plan Status-U"]})})=1 then List.Distinct({[#"Plan Status-H"],[#"Plan Status-D"],[#"Plan Status-S"],[#"Plan Status-M"],[#"Plan Status-C"],[#"Plan Status-U"]}) else "Varies across plans"
As per the table above, the List.Count does not seem to working correctly as some of the records show a merged value of items in the list which means the List.Count for a list with multiple values is calcing as 1.
You have extra brackets in your code. Try this:
if List.Count(List.Distinct({[#"Plan Status-H"],[#"Plan Status-D"],[#"Plan Status-S"],[#"Plan Status-M"],[#"Plan Status-C"],[#"Plan Status-U"]}))=1
then List.Distinct({[#"Plan Status-H"],[#"Plan Status-D"],[#"Plan Status-S"],[#"Plan Status-M"],[#"Plan Status-C"],[#"Plan Status-U"]})
else "Varies across plans"
I want to create a calculated column that increments by 1 every time it meets a true in bool column. any ideas ?
in the image at left is the data table and at right the desired result
Something like the formula below should work
case when [bool]=True then sum(If([bool]=True,1,0)) over (AllPrevious([id])) else 0 end
I'm trying to make a Calculated Value Control expression on the below columns:
Row Count | Date | Value
What I want to get is the Value for the 'newest' date, which will also be the highest row count. How can I write an expression to get this, it seems like it ought to be simple. I'm having trouble writing it in only expression language, without SQL.
Using the expression below you can limit the records in your table to those with the highest (aka most recent) date which should have your Value of interest.
[Date] = Max([Date])
You can do the same with row count since you mentioned the record of interest being the highest row count:
[Row Count] = Max([Row Count])
If you're looking to create a calculated column you can use a case statement to spit out the value:
case when [Date] = Max([Date]) then [Value] end
Lastly, should you want to display this value in a Text Area to show off your value you can utilize the calculated column above:
1) Create a new Text Area
2) Type some text about what it is: "Value for newest Date: " (optional)
3) Click "Insert Dynamic Item" -> "Calculated Value"
4) Under "Data" ensure the appropriate data table is selected. Note: You can uncheck the "Use Current Filtering..." box here if you do not want your value to update as you filter.
5) Under Values, utilize our calculated column with "Max" wrapped around it to avoid Summing duplicate values:
Max(CALCULATED_COLUMN)
Here is a screenshot of my work with random filler dates and values: http://i.imgur.com/hFapS8c.png
The larger text is to show the calculated value dynamic items. I used Max([Date]) for the date value.
Ok, say I have a subreport that populates a chart I have from data in a table. I have a summary sum field that adds up the total of each row displayed. I am about to add two new rows that need to be displayed but not totaled up in the sum. There is a field in the table that has a number from 1-7 in it. If I added these new fields into the database, I would assign a negative number to this like -1 and -2 to differentiate it between the other records. How can I set up a formula so that it will sum up all of the amount fields except for the records that have an 'order' number we will call it of either -1 or -2? Thanks!
Use a Running Total Field and set the evaluate formula to something like {new_field} >= 0. So it will only sum the value when it passes that test.
The way to accomplish this without a running total is with a formula like this:
if {OrderNum} >= 0 Then {Amount}