I use write.csv() to save output and click option to download output to local machine.
I want to know that there are any ways to export csv. in google-colab with R kernel?
Since I can't download output timely. And colab will delete my data.
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I use the following function from the openxlsx package to export my dataframe to a local folder as an xlsx file:
write.xlsx(data frame, path, overwrite = TRUE)
I want to pull it into a Power BI project, but when I do, I get the following error from Power BI:
"The input couldn't be recognized as a valid Excel document."
But when I go into the file, save it and close, it then works fine.
Thank you
I have a report that all it does is export it's data to excel via power automate using some R code.
"write_xlsx(dataset,"file_path.xlsx")"
However, I need to manipulate it further and it needs to be in a tabular format to do so. Yet, when I try "write.table" I get the error that my connection to OneDrive is not open. So I can export an Excel sheet with the data, but not the same data as a Table.
Any ideas?
I'm using Jupyter notebook to work with R and data.table. The problem is I cannot properly copy table outputs to Excel or any other software. In Python I would use to_clipboard() but I found no such function for R's data.table.
At the moment I'm exporting to CSV and importing the CSV in Excel, which is rather inefficient.
The title of the question pretty much says it all. I’m using R in Google Colab and while analyzing some data I have generated an output data frame which I wish to export (either to Google Drive or to my local desktop). How can I achieve this?
You can save a .csv file in Colab root folder with a classic:
write.csv(your_df, file='output.csv')
You will find the file in the left sidebar, clicking on it will pop the option to download it.
I'm wondering which package can be used in a Shiny App to export data to excel file.
I know I can use xlsx, but it requires RJava and I fear that other users can't install it.
you can easily export data to Excel using a download button and base R. Then your file would be a csv-file, which can be easily opened in Excel. An example could be:
https://shiny.rstudio.com/articles/download.html
Would a csv-File be sufficient or do you absolutely need an xlsx-file?