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Update EMDAT VARNAMES for version 2023 #701

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merged 4 commits into from
Apr 27, 2023

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simonameiler
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Work in progress!

Update the EMDAT variables names to meet the EMDAT data structure criteria of the year 2023

to do:

  • check and update all functions which use VARNAMES_EMDAT

Changes proposed in this PR:

  • updated VARNAMES_EMDAT dictionary with most recent variables (2023)

This PR fixes #690

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Update the EMDAT variables names to meet data structure criteria of the year 2023
@@ -114,7 +114,57 @@
"Reconstruction Costs ('000 US$)": "Reconstruction Costs ('000 US$)",
"Insured Damages ('000 US$)": "Insured Damages ('000 US$)",
"Total Damages ('000 US$)": "Total Damages ('000 US$)",
'CPI': 'CPI'}}
'CPI': 'CPI'},
2023: {'Dis No': 'Dis No',
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To make sure that all key-value pairs here are exactly the same, you could do something like this:

VARNAMES_EMDAT_2023 = ["Dis No", "Year", ...]  # List every variable only once
VARNAMES_EMDAT = {
    2018: {...},
    2020: {...},
    2023: dict(zip(VARNAMES_EMDAT_2023, VARNAMES_EMDAT_2023)),
}

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🤔 Don't know. With the current change it is at least uniform. After introducing VARNAMES_EMDAT_2023 it's partly less redundant but loses uniformity. Which looks like an increase of entropy to me. 😁
Imho we should keep it uniform or get rid of all the redundancy when we start in this direction. E.g. by making a dictionary for only the values that are different from the keys.

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I very much like your last suggestion! Let's get back to this when the actual issue is resolved ✌️

@emanuel-schmid emanuel-schmid marked this pull request as ready for review April 27, 2023 11:31
@emanuel-schmid
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After manually checking the tutorial, I leave it as it is for now. But the module should be refactored at some point: #708

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3 participants