Hello there RStudio friends,
I am working on a data analytics course, and I cannot upload a project folder called hotel_bookings.csv? I already installed and loaded the following three packages: tidyverse, janitor, and skimr. If you have any information to share, I would be willing to hear. I wish Coursera had a phone line to ask these questions, but they don't and encourage the use of this community.

Step 2: Import data

The data in this example is originally from the article Hotel Booking Demand Datasets (Hotel booking demand datasets - ScienceDirect), written by Nuno Antonio, Ana Almeida, and Luis Nunes for Data in Brief, Volume 22, February 2019.

In the chunk below, you will use the read_csv() function to import data from a .csv in the project folder called "hotel_bookings.csv" and save it as a data frame called bookings_df:

bookings_df <- read_csv("hotel_bookings.csv")

Can you please describe what have you tried so far and what is the error message you get? Is hard for us to help you if we don't know exactly what you need help with.

Also, please familiarize yourself with our homework policy, homework inspired questions are welcome but they should not include verbatim instructions from your course.

Try the solution in this post:

Thanks for the additional information, and I will familiarize myself with the homework policy as per your suggestion. The problem is that the Course gave students a program "hotel_bookings" that cannot be opened using the public version of RStudio? I was not asking anyone to do my work, but just if anyone else had a problem uploading. Its frustrating when instructors give assignments that can be completed!
Dawn

What you have linked in your original post, is not a "program", is a scientific article, and includes links to all the files used on it, including an R script and datasets. Part of learning data science is learning to deal with real-world data that is usually messy and hard to work with.

I'm not sure what you mean by "public version of RStudio", but there is no restriction on the type of files you can open with open source RStudio products, you can do pretty much the same things you could with the professional products.

By going through the homework guidelines I'm sure you will learn how to more effectively ask questions here (ideally by providing a REPRoducible EXample (reprex)).

The concern about verbatim instructions is more about author rights so even if you are not asking people to do your work for you, you should still avoid posting verbatim instructions here.

This is my first time using community. Positive comments about the invaluable and accommodating nature of the RStudio Community have been reinforced throughout numerously. These responses have been dually noted, along with the level of cordiality.
Thank you for your time.

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