Hello all,

There is a feature called 'std' in the training dataset. It is written in the problem description that:

"The standard deviation, “std”, is calculated for each donation in the range of 950 nm to 1350 nm. The smaller the standard deviation, the more the absorbances for that donation, the more consistency there is between all 60 scans."

Here are my questions:

1) How is the std calculated? I tried to follow the logic in the description but I am not able to replicate the calculation.

2) Why does lower std mean more absorbance?

Thanks in advance for your help!