Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
I am getting the following error when I paste the following code in the R script connector box. It is simple script that runs on RStudio.
df1 <- data_frame(school = c("A", "B", "C", "D", "E", "F", "G", "H"),
perc_25 = c(950, 1140, 1140, 820, 920, 950, 850, 850),
perc_75 = c(1190, 1410, 1380, 1030, 1130, 1150, 1060, 1050),
diff = as.numeric(perc_75 - perc_25))
Details: "ADO.NET: R script error.
Error: could not find function "data_frame"
Execution halted
Does nayone have any ideas why this not running. I have done some visual in powerBI using R previously but I am not sure what has changed. Thanks
"
Solved! Go to Solution.
Hi @arashaga,
Which library does data_frame belong? It could be data dot frame which is data.frame(). As far as I know, I can't call other columns when initiating the data frame. Please try it like below or include the proper library.
# include the proper library which has the data_frame. library(lib) your other codes go here.
school <- c("A", "B", "C", "D", "E", "F", "G", "H")
perc_25 <- c(950, 1140, 1140, 820, 920, 950, 850, 850)
perc_75 <- c(1190, 1410, 1380, 1030, 1130, 1150, 1060, 1050)
diff <- perc_75 - perc_25
df1 <- data.frame(school = school, perc_25 = perc_25, perc_75 = perc_75, diff = diff)
Best Regards,
Dale
Hi @arashaga,
Could you please mark the proper answers as solutions?
Best Regards,
Dale
Yes. Thank you for the solution!
Hi @arashaga,
Which library does data_frame belong? It could be data dot frame which is data.frame(). As far as I know, I can't call other columns when initiating the data frame. Please try it like below or include the proper library.
# include the proper library which has the data_frame. library(lib) your other codes go here.
school <- c("A", "B", "C", "D", "E", "F", "G", "H")
perc_25 <- c(950, 1140, 1140, 820, 920, 950, 850, 850)
perc_75 <- c(1190, 1410, 1380, 1030, 1130, 1150, 1060, 1050)
diff <- perc_75 - perc_25
df1 <- data.frame(school = school, perc_25 = perc_25, perc_75 = perc_75, diff = diff)
Best Regards,
Dale
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Check out the February 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 3 | |
| 2 | |
| 2 | |
| 1 | |
| 1 |
| User | Count |
|---|---|
| 3 | |
| 3 | |
| 2 | |
| 2 | |
| 2 |