read_csv() unable to import dataset / is reprex same as code formatting button?

[Andrew_Fu]

Hi friends,

I'm using RStudio Cloud. Why can't I use the read_csv() function to import a dataset that I've uploaded in my current working directory, even though the necessary packages have been loaded?

library(readr)
library("readr")
#step 2: import data
#hotel_bookings.csv has been uploaded
bookings_df <- read_csv("hotel_bookings.csv")
Error: 'hotel_bookings.csv' does not exist in current working directory ('/cloud/project/Wk 3 Working with data in R').

I can only do it by left-clicking the file in the Files plane and selecting "Import Dataset":

After which, the following codes automatically appear in my console, and not in my script (and thus, I cannot create a reprex for the following lines of code):

> library(readr)
> hotel_bookings <- read_csv("hotel bookings.csv")
Rows: 119390 Columns: 32                                                                                                   
── Column specification ────────────────────────────────────────────────────────────────
Delimiter: ","
chr  (13): hotel, arrival_date_month, meal, country, market_segment, distribution_ch...
dbl  (18): is_canceled, lead_time, arrival_date_year, arrival_date_week_number, arri...
date  (1): reservation_status_date

ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
> View(hotel_bookings)

Oh, now that I've used the code formatting button in the text editor for the 2nd paragraph of codes above (the first paragraph was done using reprex), can I also quickly check: is using a reprex equivalent to using the code formatting button of this text editor? If it is, I'll just stick to the latter as it's much faster.

Many thanks in advance!

[nirgrahamuk]

Is the file hotel space bookings or hotel underscore bookings ?

[andresrcs]

@Andrew_Fu

is using a reprex equivalent to using the code formatting button of this text editor?

REPREX stands for REPRoducible EXample, and nothing you have posted is reproducible since we on't have access to your file, you have only posted formatted code and if that is your goal you certainly don't need to use the reprex package.

To better understand what a reprex is, please read this guide

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…

About your specific problem, the file is called "hotel bookings.csv", not "hotel_bookings.csv", notice you are replacing the empty space by an underscore.

[Andrew_Fu]

Thank you, @nirgrahamuk and @andresrcs! The original file name is "hotel_bookings.csv" but interestingly became "hotel bookings.csv" after it was uploaded, and I erroneously ran my read_csv function on the original file name.

I will also read further on REPREX.