从 R 脚本到 Power Bi - 如何使用 setdiff

Question

I've got two data frames: zerowy_nazwa5 , zatwierdzony_nazwa5 ,

and working 2 lines:

setdiff(zatwierdzony_nazwa5, zerowy_nazwa5)
setdiff(zerowy_nazwa5, zatwierdzony_nazwa5)

how I implement this in PowerBi?

Thanks for help

Answer 1

Your question is rather unclear, so I'm going to have to make some assumptions. I will interpret your question as how to natively perform a set difference in Power BI.

---

Suppose we have tables A and B as follows

Table A:   Table B:      
Column     Column
------     ------
 1          2
 2          4
 3
 4
 5

and we want to get the set difference A - B

 Column
 ------
  1
  3
  5

You can do it in DAX or in the Power Query M language:

---

M language

You can do this using a left anti join . The M code looks like this:

 = Table.NestedJoin(A,{"Column"},B,{"Column"},"B",JoinKind.LeftAnti)

Delete the new "B" column and you're good to go.

Another way is to use the Table.SelectRows function:

= Table.SelectRows(A, each not List.Contains(B[Column], _[Column]))

---

DAX language

You just need to filter table A to exclude values in table B :

FILTER(A, NOT( A[Column] IN VALUES( B[Column] ) ) )

Or using the older CONTAINS syntax instead of IN :

FILTER(A, NOT( CONTAINS( VALUES( B[Column] ), B[Column], A[Column] ) ) )

---

Note: It certainly is possible to use R scripts within the Power Query environment, as vestland points out. It is not currently possible to use R scripts within a DAX expression, as Juan points out.

Answer 2

Reading your question, I'm assuming this:

1. Your main goal is to do this internally in PowerBI
2. You're not specifically asking how to do it using DAX

The Power of R in Power BI is not limited to R Visuals. You can load both single and multiple tables and use them as input to R scripts and any R functionality using Edit Queries > Transform > Run R Script .

Here's an example using two synthetic dataframes and setdiff():

Snippet 1 (from the dplyr::setdiff examples in R)

library(dplyr)
a <- data.frame(column = c(1:10, 10))
b <- data.frame(column = c(1:5, 5))
c <- dplyr::setdiff(a, b)

# Output
# column
# 1      6
# 2      7
# 3      8
# 4      9
# 5     10

Since you didn't describe your expected output, I'm assuming this is what you were after. But beware that if you're not using the dplyr library, base::setdiff() will give a different output:

Snippet 2

c <- base::setdiff(a, b)

# output

# column
# 1       1
# 2       2
# 3       3
# 4       4
# 5       5
# 6       6
# 7       7
# 8       8
# 9       9
# 10     10

And if you carefully follow the steps in this post you will be a able to end up with this in Power BI. But here's the essence of it: To reproduce the example, go to Edit Queries (Power Query Editor) > Enter Data and click OK . Then insert an R script using Transform > Run R script and insert the snippet above.

If anything is unclear, or if you're not able to reproduce the result, let me know.