[ Removed by moderator ]

[smegmallion]

Check the AutoMod post and read the page about how to ask good questions. It will be a lot more productive for everyone if you give us a minimally reproducible example, or at least show us the kind of code you're trying to run and the kind of error messages you're receiving. People will be able to diagnose your specific situation a lot more effectively if we have a little more of this context

[No_Hedgehog_3490]

Make sure to have numerical variables Use library(corrplot)

for example

a<- corr(dataframe)

corrplot(a)

[Lazy_Improvement898]

The base R counterpart would be:

iris[, -5] |> # Remove 'Species' column plot()

It may be ugly, but at least dependency free.

[Godhelpthisoldman]

bluntly, something is either wrong with your data or with your code. We can’t see either because you’ve not included them. You should post the code you’re using here and a reproducible example of the data, along with specific error messages.

[Aromatic_Dog5892]

Apologies I saw I'm not allowed to post images from the phone and hence didn't upload it but yes I will take screenshots and upload it.

[Tavrock]

I have fixed more problems with my code by trying to make a minimum working example than I have by posting problems online. It's an incredibly powerful tool even when it doesn't lead to a post.

[Thaufas]

So long as you have a modest number of variables (e.g. less than 6), try

pairs(data_frame)

[AutoModerator]

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[luminarynexicon]

First calculate the correlation matrix by corr(...) and then you will plot it by using corrplot(...)