corrplot error "must have >=2 objects to cluster"

[niha]

I'm trying to create a corrplot using the following code
M<-cor(my_data[, unlist(lapply(data, is.numeric))])
corrplot(M, type="upper", order="hclust",
col=brewer.pal(n=8, name="RdYlBu"))

but it is showing this error
Error in hclust(as.dist(1 - corr), method = hclust.method) :
must have n >= 2 objects to cluster

My data looks like this

> my_data
                                         X.group shallow_cell       inlet   deep_cell
1                                  methanotrophy  0.000000000 0.000177873 0.000000000
2                             methanol_oxidation  0.000333731 0.000554544 0.000051300
3                                  methylotrophy  0.000333731 0.000721954 0.000051300
4                                   fermentation  0.114612634 0.093383138 0.013174082
5                      aerobic_chemoheterotrophy  0.118140644 0.054052357 0.429823662
6               aromatic_hydrocarbon_degradation  0.000381406 0.003452822 0.001281526

[FJCC]

@niha

M<-cor(my_data[, unlist(lapply(data, is.numeric))])

As written, that will not work because there is no object named data to use in
lapply(data, is.numeric).
I think R will use the built in function data(), return all FALSE for is.numeric and you end up with no data.