I ran into this when trying to throw together some quick plots for exploratory analysis. I wanted to use the autoplot function from ggplot2 so that I wouldn't have to take the time to specify all the parameters and such. Again, this is for exploratory analysis, not for generating plots to be shared/published.
For a quick, minimal example:
DF <- data.frame(major = c("Bio", "Chem", "Comp", "DataSci", "Maths", "STEM_other"),
count = c(38, 16, 19, 8, 15, 56))
... which, of course, results in the following dataframe:
> DF
major count
1 Bio 38
2 Chem 16
3 Comp 19
4 DataSci 8
5 Maths 15
6 STEM_other 56
My hope was that autoplot would give me a simple bar chart or something, just enough for a quick look without too much trouble. When trying to use the autoplot function, I get this error:
> autoplot(DF)
Error in `autoplot()`:
! Objects of class <data.frame> are not supported by autoplot.
ℹ have you loaded the required package?
Run `rlang::last_trace()` to see where the error occurred.
It seems odd to me that dataframes would not be supported, when I would think many data sources would be organized in dataframes. Is there something I am missing?
All of my searching pointed to issues with autoplot handling time-series data, which apparently can be corrected by also loading ggfortify. This is not time-series data, so I would think loading ggfortify would not be any help in this case... I tried anyway to confirm, and I was correct (no change).
Is there some other package I need to install/load to make autoplot work? Isn't the point to be able to make quick plots without spending too much time on them, or am I totally misusing autoplot?
Thanks for any guidance.
In R you can write your own functions easily (and if you want to easily reuse them throughout your projects, you can go further and maintain your own packages...)
Here I throw up a low effort auto type tool; if you at least know that the dataframe is suitable for a bar chart, having a non-numeric field, and a numeric field, then this code can attempt to identify those (first encountered are used) and throw up a plot