Data frames in R - Exporting data in R

365 Data Science · Beginner ·🍎 Teaching & Learning Design ·8y ago

Key Takeaways

The video demonstrates how to export data in R using the write.csv and write.table functions, specifically for saving data into shareable CSV files and tab-delimited text documents.

Full Transcript

hi and welcome back to our for statistics and data science in this lesson we will go full circle and complete the stellar saga of importing and exporting data in R so we have our data we have done some manipulations and we want to share our work with others through Dropbox on a flash drive preferably without giving our whole computer away to save your data into a shareable CSV file you use write dot CSV with write dot CSV - version for those of us who use a comma to denote a decimal and to save data into a tab delimited text document you use write that table let's export our Star Wars data from the first lesson on data frames and they sect what's happening if you need to recreate it I have put the code right here so you can pause and copy it obviously the first argument we pass is the data we want saved then we specify what the filename of our data should be once saved it does not have to be identical to the name of the data frame but be careful our is a little little Oh sometimes and for everything to work correctly and for your file to actually save in CSV format you will have to specify that by providing the extension dot CSV in the file name - ok ok finally and this is important the road names argument should be set to false in addition to literal R can be a little buggy sometimes if you save a file with the road names argument set to true it will add an extra column in the beginning of the table marking each row from 1 to n guessing that your actual first column is the names of the rows but wait you think that doesn't sound so bad yeah but it is because if you reopen the file you just saved our will somehow have forgotten it has saved it with this additional column that marks the row numbers and instead we'll consider the numbers to be part of your data and congratulations now you have a column you very much do not need repeat that a few more times and you will end up with n number of redundant columns and nothing to do with them in conclusion adding the row names argument and setting it to false is going to save you some unnecessary work okay I promised a short lesson and that was it thanks for watching everyone for more videos like this one please subscribe

Original Description

👉🏻 Download Our Free Data Science Career Guide: https://bit.ly/319cjkd 👉🏻 FREE MONTH! Get full access to our newly redesigned platform and all our courses (18th October - 18th November): https://bit.ly/3iYuwaf Let's learn how we can export data in R. To save your data into a shareable CSV file, you use write.csv (with a write.csv2 version for those of us who use a comma to denote a decimal). And to save data into a tab-delimited text document, the function to use is write.table. The first argument is the data we want saved. Then, the file name of our saved data must be. This does not have to be identical to the name of the data frame. For everything to work correctly and your file to actually save in CSV format, you’d have to specify that by providing the extension .csv. IMPORTANT: the row.names = argument should be set to FALSE, because if you save a file with the row.names = argument set to TRUE, it will add an extra column in the beginning of the table marking each row from 1 to n, assuming that your actual first column is just the names of the rows. Adding the row.names = argument and setting it to FALSE is going to save you a lot of unnecessary actions. ► Consider hitting the SUBSCRIBE button if you LIKE the content: https://www.youtube.com/c/365DataScience?sub_confirmation=1 ► VISIT our website: https://bit.ly/365ds 🤝 Connect with us LinkedIn: https://www.linkedin.com/company/365datascience/ 365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists. We at 365 Data Science are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality educational content which anyone can access
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This video teaches how to export data in R using the write.csv and write.table functions, and how to avoid common pitfalls such as adding unnecessary columns. By following the steps outlined in this lesson, viewers can learn how to save their data into shareable CSV files and tab-delimited text documents.

Key Takeaways
  1. Use the write.csv function to save data into a CSV file
  2. Specify the filename and extension (.csv) for the saved file
  3. Set the row.names argument to FALSE to avoid adding unnecessary columns
  4. Use the write.table function to save data into a tab-delimited text document
💡 Setting the row.names argument to FALSE is crucial to avoid adding unnecessary columns when saving data in R
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