Error in a code while running the RConsole.

I encountered an error while running the code "ggplot(data=penguins + geom_point(mapping=aes(x=flipper_length_mm, y=body_mass_g))" to create a data vis.
(scatterplot chart).

Does anyone know how to solve this error as diplayed by this code above and the image I took of this problem located in the RStudio console?

The geom_point(...) command refers to variables named "flipper_length_mm" and "body_mass_g", but the penguins data frame has "flipper_len" and "body_mass". So you are referring to variables that do not exist.

How can I fix the error of the variables "flipper_length_mm" and "body_mass_g" not found in the columns of the "penguins" dataset in Rscript?

If the code is in the "Untitled1" script, just edit the names to match what is in the data frame.

Which names needed to be edited to match the ones in the columns of the "penguins" dataset?
Do I need to edit the title of the Rscript too?

EDIT: I tried writing in differen formats of the same code i was struggling with to run the scatter plot but kept recieving the blank in the "Plots" tab page.

You are working with a different penguins dataset, it's not palmerpenguins::penguins but datasets::penguins, which is bundled with R since version 4.5. Your course material probably predates this change.

Make sure you have loaded palmerpenguins package (note how it warns you about masking dataset objects from datasets package):

library(ggplot2)
ibrary(palmerpenguins)
#> 
#> Attaching package: 'palmerpenguins'
#> The following objects are masked from 'package:datasets':
#> 
#>     penguins, penguins_raw
ggplot(data = penguins) +
  geom_point(mapping = aes(x = flipper_length_mm, y = body_mass_g))

Or use palmerpenguins::penguins instead of penguins in your code:

library(ggplot2)
ggplot(data = palmerpenguins::penguins) +
  geom_point(mapping = aes(x = flipper_length_mm, y = body_mass_g))

Main difference between palmerpenguins::penguins and datasets::penguins is column names, to update your ggplot code to work with datasets::penguins, you'd need to change all occurrences of those column names:

str(palmerpenguins::penguins)
#> tibble [344 × 8] (S3: tbl_df/tbl/data.frame)
#>  $ species          : Factor w/ 3 levels "Adelie","Chinstrap",..: 1 1 1 1 1 1 1 1 1 1 ...
#>  $ island           : Factor w/ 3 levels "Biscoe","Dream",..: 3 3 3 3 3 3 3 3 3 3 ...
#>  $ bill_length_mm   : num [1:344] 39.1 39.5 40.3 NA 36.7 39.3 38.9 39.2 34.1 42 ...
#>  $ bill_depth_mm    : num [1:344] 18.7 17.4 18 NA 19.3 20.6 17.8 19.6 18.1 20.2 ...
#>  $ flipper_length_mm: int [1:344] 181 186 195 NA 193 190 181 195 193 190 ...
#>  $ body_mass_g      : int [1:344] 3750 3800 3250 NA 3450 3650 3625 4675 3475 4250 ...
#>  $ sex              : Factor w/ 2 levels "female","male": 2 1 1 NA 1 2 1 2 NA NA ...
#>  $ year             : int [1:344] 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 ...

to these:

str(datasets::penguins)
#> 'data.frame':    344 obs. of  8 variables:
#>  $ species    : Factor w/ 3 levels "Adelie","Chinstrap",..: 1 1 1 1 1 1 1 1 1 1 ...
#>  $ island     : Factor w/ 3 levels "Biscoe","Dream",..: 3 3 3 3 3 3 3 3 3 3 ...
#>  $ bill_len   : num  39.1 39.5 40.3 NA 36.7 39.3 38.9 39.2 34.1 42 ...
#>  $ bill_dep   : num  18.7 17.4 18 NA 19.3 20.6 17.8 19.6 18.1 20.2 ...
#>  $ flipper_len: int  181 186 195 NA 193 190 181 195 193 190 ...
#>  $ body_mass  : int  3750 3800 3250 NA 3450 3650 3625 4675 3475 4250 ...
#>  $ sex        : Factor w/ 2 levels "female","male": 2 1 1 NA 1 2 1 2 NA NA ...
#>  $ year       : int  2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 ...


I tried out the code "ggplot(data = penguins) + geom_point = aes(x = 'bill_length, y = 'bill_depth_mm')), and it finally showed a scatterplot. However it only show one dot in the middle of the chart.

You just need to drop the quotation marks around bill_length_mm and bill_depth_mm (and similarly in the earlier plot attempt).

I changed (data = penguins) to (data = palmerpenguins :: penguins) in ggplot 2 paranthesis function, and removed codes from "flipper_length" and "body_mass".

Then the code for ggplot actually showed more than one point in the scatterplot chart. One of the example shown in one of the messages above actually worked.

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