I have a big dataset with +100 observation and 68 variables. I was wondering whether there might be a way to generate plots and histograms for all those variables at once without having to write down the code for a boxplot/histogram one by one, and save them in a folder as pns or in a pdf.
possibly I'd like to have more than one plot on the same page (i know you can do that using "par")
I know is probably a simple piece of coding but it would be really helpful for me. Thank you
Ok I think an example could be the data from the iris dataset:
"Sepal.Length Sepal.Width Petal.Length Petal.Width Species
1 5.1 3.5 1.4 0.2 setosa
2 4.9 3.0 1.4 0.2 setosa
3 4.7 3.2 1.3 0.2 setosa
4 4.6 3.1 1.5 0.2 setosa
5 5.0 3.6 1.4 0.2 setosa
6 5.4 3.9 1.7 0.4 setosa"
But instead of having just "Sepal.Length Sepal.Width Petal.Length Petal.Width " as observed variables, I have 68 of them. My interest is to check normality distribution for the sample on all my 68 variables and boxplot . I know how to create boxplots and histogram variable per variable, but that would take a lot of time and I imagine there must be a way to do it at once, probably using a loop or a %>% ?
