Today we are going to come up with a new task, that is about ”Simple way to export DataFrame to CSV in R”.  We have found the solution to this question, along with interesting information related to it. This will help you to develop a more research-oriented mindset, and make it easier for you to answer these types of questions.  Let’s check out!

What is CSV?

CSV or “Comma Separated Values”, is a file format commonly used in the management and construction of small-scale data systems along with manipulating spreadsheets. Normal computer programs will usually not be able to read CSV files and you will have to download a CSV file reader software for your computer so that your computer can read this file format.

How to Export DataFrame to CSV in R? 

Tutorial

In this tutorial we will need to use some of the following syntax:

• Syntax to create dataframe in R:
  • data.frame(column1, column2, column3)
• Syntax to export dataframe to csv in R:
  • write.csv(Your DataFrame,"Path to export the DataFrame\\File Name.csv", row.names = FALSE)

And here are the steps for you to Export DataFrame to CSV in R:

• Step 1: Import data as DataFrame
• Step 2: Export dataframe to csv using write.csv
• Step 3: Run and print the result

To make it easy for you to follow, below we will provide a specific example on how to export dataframe to csv in R. Please continue to follow the article.

Example

For example, you have the following raw data:

Firstly  you need to import the above data as a dataframe, like this:

df <- data.frame(Product = c("rose", "tulip", "peony", "lily"),
                 Quantity = c(1200,700,500,800)
                 )

print (df) 

If you are not sure how to create dataframe type data, you can follow more in this article.

Next to export the dataframe to csv, we will use the write.csv() function. Applying the above syntax we have:

df <- data.frame(Product = c("rose", "tulip", "peony", "lily"),
                 Quantity = c(1200,700,500,800)
                 )

write.csv(df,"C:\\Users\\...YOUR PATH...\\Kim.csv", row.names = FALSE)
print ('CSV created Successfully :)')

So you are done with the operations to export the dataframe to csv in R. The data after exporting will also match the data in the dataframe.

Some notes when exporting:

• If you want the output to include row.names, then you just need to change FALSE to TRUE.
• To avoid Error: ‘\U’ used without hex digits in character string starting “”C:\U” error, use double backslash.
• You can also export to .txt . file.

Conclusion

Above we have helped you better understand csv and a simple way to Export DataFrame to CSV in R. If you have any further questions, you can leave your comments in the Comments section. I hope you have a productive day with your subject. See you in the next session!