I have my data in the format
I need to transform the data into
[source, destination and count] format
so that I can create a sankey chart out of it. Can I do any transform like this in Kusto itself or is this possible only via a programming language? If it can be done in kusto itself, can you point the way please.
Transforming a dynamic array is possible using mv-apply operator, then you could use prev() function to get the previous row's value in order to generate the From column:
datatable (IdCol:long, Ordered_States_List:dynamic )
[1,dynamic(["State01","State02","State05"]),
2,dynamic(["State02","State03","State05"]),
3,dynamic(["State01","State04"]),
4,dynamic(["State01","State02","State03"])]
| mv-apply Ordered_States_List to typeof(string) on
(
project From = prev(Ordered_States_List), To=Ordered_States_List
)
| where isnotempty(From)
| summarize value=count() by From, To
Related
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.
I want to count the occurrences of values in a column. In my case the value I want to count is TRUE().
Lets say my table is called Table and has two columns:
boolean value
TRUE() A
FALSE() B
TRUE() A
TRUE() B
All solutions I found so far are like this:
count_true = COUNTROWS(FILTER(Table, Table[boolean] = TRUE()))
The problem is that I still want the visual (card), that displays the measure, to consider the filters (coming from the slicers) to reduce the table. So if I have a slicer that is set to value = A, the card with the count_true measure should show 2 and not 3.
As far as I understand the FILTER function always overwrites the visuals filter context.
To further explain my intent: At an earlier point the TRUE/FALSE column had the values 1/0 and I could achieve my goal by just using the SUM function that does not specify a filter context and just acts within the visuals filter context.
I think the DAX you gave should work as long as it's a measure, not a calculated column. (Calculated columns cannot read filter context from the report.)
When evaluating the measure,
count_true = COUNTROWS ( FILTER ( Table, Table[boolean] = TRUE() ) )
the first argument inside FILTER is not necessarily the full table but that table already filtered by the local filter context (including report/page/visual filters along with slicer selections and local context from e.g. rows/column a matrix visual).
So if you select Value = "A" via slicer, then the table in FILTER is already filtered to only include "A" values.
I do not know for sure if this will fix your problem but it is more efficient dax in my opinion:
count_true = CALCULATE(COUNTROWS(Table), Table[boolean])
If you still have the issue after changing your measure to use this format, you may have an underlying issue with the model. There is also the function KEEPFILTERS that may apply here but I think using KEEPFILTERS is overcomplicating your case.
I'm trying to set up a custom filter using DAX in Power BI.
The idea is to use a parameter/value extracted from a Slicer.
So far, I was able to get the selected value from the Slicer, but I was not able to use it in a filter.
The filter expression works perfectly when I manually type the parameter "value", I mean:
FILTER(BI_PRD_MAPA_TRD, BI_PRD_MAPA_TRD[ORIG_GRUPO]="5DSL" || BI_PRD_MAPA_TRD[DEST_GRUPO]="5DSL")
Works just fine, but:
FILTER(BI_PRD_MAPA_TRD, BI_PRD_MAPA_TRD[ORIG_GRUPO]=[Measure] || BI_PRD_MAPA_TRD[DEST_GRUPO]=[Measure])
doesn't work.
The measure is working fine, as I created a "dummy" card to test it.
The measure itself is calculated by a DAX SELECTEDVALUE function:
Measure = SELECTEDVALUE(Tabela[GRUPO], "TODOS")
Can someone help me at this topic?
Get the measure value in a VAR in this DAX and use inside to it, as below.
VAR _SelectedValue = [Measure]
RETURN
FILTER(BI_PRD_MAPA_TRD, BI_PRD_MAPA_TRD[ORIG_GRUPO]=_SelectedValue || BI_PRD_MAPA_TRD[DEST_GRUPO]=_SelectedValue )
I believe the selection is single select not multiple.
Use first two digits of Column to give a name to a new column.
I have a list of companies and their NAICS ID. I would like to filter these into a pie chart but I don't want the 90000 different names (just the general ex. Agriculture or Mining). I want to utilize the first two digits in for the column to identify its general name. I am trying to use the DAX expression Switch to get this started. Is there a filter to do this within PowerBI?
I haven't started yet since I am not sure if this is possible.
You could simply create a calculated column based off of the original NAICS code using the following:
FirstTwoDigitsOfNAICS :=
SWITCH (
TRUE (),
LEFT ( 'Table'[NAICSCode] ) = x, "Something",
LEFT ( 'Table'[NAICSCode] ) = y, "Something Else"
)
This DAX will simply pull the first two characters from the entire code.
My datasource has a column that contains a comma-separated list of numbers.
I want to create a dataset that takes those numbers and turns them into groupings to use in a bar chart.
requirements
numbers will be between 0-17 inclusive
groupings: 0-2,3-5,6-10,11-17
x-axis labels have to be the groupings
y-axis is the percent of rows that contain that grouping
note that because each row can contribute to multiple columns the percentages can add up to > 100%
any help you can offer would be awesome... i'm very new to BIRT and have been stuck on this for a couple days now
Not sure that I understand the requirements exactly, but your basic question "split dataset column into multiple rows" can be solved either using a scripted dataset or with pure SQL (depending on your DB).
Either way, you will need a second dataset (e.g. your data model is master-detail, and in your layout you will need something like
Table/List "Master bound to master DS
Table/List "Detail" bound to detail DS
The detail DS need the comma-separated result column from the master DS as an input parameter of type "String".
Doing this with a scripted dataset is quite easy IFF you understand Javascript AND you understand how scripted datasets work: Create a report variable "myValues" of type object with a default value of null and a second report variable "myValuesIndex" of type integer with a default value of 0.
(Note: this is all untested!)
Create the dataset "detail" as a scripted DS, with one input parameter "csv" of type String and one output parameter "value" of type String.
In the open event of the scripted DS, code:
vars["myValues"] = this.getInputParameterValue("csv").split(",");
vars["myValuesIndex"] = 0;
In the fetch event, code:
var i = vars["myValuesIndex"];
var len = vars["myValues"].length;
if (i < len) {
row["value"] = vars["myValues"][i];
vars["myValuesIndex"] = i+1;
return true;
} else {
return false;
}
For example, for the master DS result row with csv = "1,2,3-4,foo", the detail DS will result in 4 rows with
value = "1"
value = "2"
value = "3-4"
value = "foo"
Using an Oracle DB, this can be done without Javascript. The detail DS (with the same input parameter as above) would then look like:
select t.value as value from table(split(?)) t
For the definition of the split function, see RedFilter's answer on
Is there a function to split a string in PL/SQL?
If you get ORA-22813, you should change the original definition
create or replace type split_tbl as table of varchar2(32767);
to
create or replace type split_tbl as table of varchar2(4000);
as mentioned on https://community.oracle.com/thread/2288603?tstart=0
It's also possible with pure SQL in 11g using regexp_substr (see the same page).
create parameters in the scripted data set. we have to pass or link actual dataset values to scripted dataset parameters through DataSet parameter Binding after assigning the scripted data set to Table.