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Hello, I am copying a video from @Bielite Importing Stock Data into Power BI
I am using R 4.0.0 and RStudio 1.3.959.
Rtools, httr, rvest, xml2, BatchGetSymbols are all successfully installed
Here is my script (exactly like the video)
library(BatchGetSymbols)
df <- GetSP500Stocks()
tickers <- df$Tickers
result <- BatchGetSymbols(tickers, first.date = Sys.Date()-365,
last.date = Sys.Date())
result <- as.data.frame(result$df.tickers)
Here is the error message:
DataSource.Error: ADO.NET: R script error.
Loading required package: rvest
Loading required package: xml2
Error: package or namespace load failed for 'rvest':
package 'httr' was installed before R 4.0.0: please re-install it
Error: package 'rvest' could not be loaded
Execution halted
Details:
DataSourceKind=R
I have already reinstalled httr & rvest & xml2 and still get this message.
can you help me get rid of this error?
Thank you!!
Solved! Go to Solution.
The problem lies in the path that Power BI follows to get the packages.
1. Go to your R IDE and find out where R goes by typing .libPaths().
2. Then, go to Power BI > Transform > R Script and see where Power BI is going
3. Make it a df <- as.data.frame(.libPaths())
4. See if Power BI has the same list you do.
5. Add this one line to the top of your R script in Power BI .libPaths(.libPaths()[i]) where i is the line with the address that matches your R IDE
6. Voila!
All credit for this solution goes to Stacia Varga at Plural Sight - read the blog here: Data Inspirations Solves the Power BI R path issue
@_StaciaV_
Thank you very much for this post. I encountered this error today. However I still have problems when trying to implement this. Kindly advise format in the [i] above as I get an error message on this. Should the address be enclosed in quotes?
Regards,
Chris
I keep seening this answer for this issue; however, it does not work for me. I get the same error. Anyone make it work?
The problem lies in the path that Power BI follows to get the packages.
1. Go to your R IDE and find out where R goes by typing .libPaths().
2. Then, go to Power BI > Transform > R Script and see where Power BI is going
3. Make it a df <- as.data.frame(.libPaths())
4. See if Power BI has the same list you do.
5. Add this one line to the top of your R script in Power BI .libPaths(.libPaths()[i]) where i is the line with the address that matches your R IDE
6. Voila!
All credit for this solution goes to Stacia Varga at Plural Sight - read the blog here: Data Inspirations Solves the Power BI R path issue
@_StaciaV_
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