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Compute phi, bespoke percentiles, and evaluate interpolation error #8

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dbuscombe-usgs opened this issue Oct 5, 2021 · 1 comment
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@dbuscombe-usgs
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dbuscombe-usgs commented Oct 5, 2021

let's compute and report all percentiles in millimeters, and make a quick notebook showing

  • how to convert to phi from mm
  • how to estimate interpolation error in mm
  • derivation of other percentiles, e.g. d66 or whatever
@dbuscombe-usgs
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I added a .gitignore to deal with the dataset (csv file), and added a way to download the data from google grive

I ran the code and got an error (related to inputs that are not explained), so...

  • please break cells up, so each line of block (if loops) of code are in a separate cell
  • add preamble / description of the purpose of the notebook, and how to use and modify
  • show a complete example first, then show how a user may modify the example for their own purposes (make up 1 or 2 scenarios)
  • explain your variables. No idea what "input number of given distributions in dataset' means - what would an average person with no prior background understand?
  • add commentary throughout - what is this code doing?
  • add details to README about this notebook - what does it do and why, and how to run it

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