Problem with creating data visual

[Jessie123]

Hi

I have a problem creating scatterplot. After I put my code in, the graph doesn't look like a scatterplot, which more looks like a table.

Code:
w<-read.csv(file="Satisfaction.csv",head=TRUE,sep=",")
p<-ggplot(data=w,aes(x=LE,y=WellBeing,colour=Country))
p + geom_point()

Console:

w<-read.csv(file="Satisfaction.csv",head=TRUE,sep=",")
p<-ggplot(data=w,aes(x=LE,y=WellBeing,colour=Country))
p + geom_point()

Plot Pane:
Either show like a table without lines, or nothing appear.

Please teach!

Thanks

[andresrcs]

We don't really have enough info to help you out. Could you ask this with a minimal REPRoducible EXample (reprex)? A reprex makes it much easier for others to understand your issue and figure out how to help.

If you've never heard of a reprex before, you might want to start by reading this FAQ:

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.…

[technocrat]

@andresrcs is absolutely right about reprex. And it doesn't even have to be your actual data--you can use mtcars, for example. In the meantime,

str(w)

to see what's in the object you are trying to plot.