R - Plot - Categorical Variables - need finite 'xlim' values

Question

I am fairly new to R but trying to learn by doing

I am trying to plot a categorical (channel) against a continuous variable (sales).

Here is my data

print(columnValues)

channel_final   tot_sales_year
1           Texas        5000.00
2           Mexico        8951.55
3           Mexico           0.23
4           Mexico          12.00
5           Mexico      250094.00
6           Texas      388859.38

Here is the code I am using to produce the graph

plot(columnValues[,1],columnValues[,2],xlab="independentColumnName",ylab="Test") 

However I get an error

Error in plot.window(...) : need finite 'xlim' values 

and some warnings

4: In min(x) : no non-missing arguments to min; returning Inf
5: In max(x) : no non-missing arguments to max; returning -Inf

What am I doing wrong? How do I fix this?

Thanks in advance for your help

Update #1 I have updated my plotting code to

boxplot(columnValues[,2]~columnValues[,1])

This works now.

Answer 1

With so many comments it's hard to know what's been covered, but here's a "scatterplot" by category using ggplot . Is this what you had in mind?

library(ggplot2)
ggplot(columnValues)+
  geom_point(aes(x=channel_final, y=tot_sales_year),size=3)