Missing values

[diatomsRcool]

• Find out what the missing value indicators are in each variable (FHS is done) and record what these values mean
• Understand all the different "flavors" of missing values, e.g., Not reported, Does not want to answer, Don't know, etc.
• Decide how much of this meaning we want to capture and or standardize

[diatomsRcool]

We want all truly missing values (or what we decide to code as missing) to be a Python "None". This will show up as nothing in tsv and csv. Corey will provide a line of code to add to the transform rules to properly map a truly missing value to None.

[diatomsRcool]

Need to check with Corey to see if this is still needed