I want to perform PCA on my data_array object.

How do I get a nice plot of the data projected onto the first two principal components?

I tried

```
using ManifoldLearning
using Plots
M1 = fit(PCA, data_array; maxoutdim=2)
# transforms observations data_array into PCs
Y1 = transform(M1, data_array) # 2x547
X_PCA = reconstruct(M1, Y1) # 96x547
M1_proj = projection(M1) # 96x2
Plots.scatter(M1_proj, title="PCA projection", legend=false)
```

but I cannot quite interpret the plot… It does not look any like standard PCA projection plots.

Any ideas?