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diff --git a/users/tazjin/covid/us_mortality.jq b/users/tazjin/covid/us_mortality.jq
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-# This turns the CDC mortality data[0] into a format useful for my
-# excess mortality spreadsheet. The US format is by far the worst one
-# I have dealt with, as expected.
-#
-# This requires miller for transforming the CSV appropriately.
-#
-# Params:
-#  state: abbreviation of the state to extract ('US' for whole country)
-#  period: time period (either "2020" for current data, or anything else
-#          for historical averages)
-#
-# Call as:
-#  mlr --icsv --ojson cat weekly.csv | \
-#    jq -rsf us_mortality.jq --arg state US --arg period 2020
-#
-# [0]: https://www.cdc.gov/nchs/nvss/vsrr/covid19/excess_deaths.htm
-
-def filter_period(period):
-  if period == "2020"
-  then . | map(select(.["Time Period"] == 2020))
-  else . | map(select(.["Time Period"] == "2015-2019"))
-  end;
-
-def collate_weeks(period):
-  (. | map(.["Number of Deaths"]) | add) as $count
-  | {
-    count: (if period == "2020" then $count else $count / 5 end),
-    week: .[0].Week,
-  };
-
-. | map(select(.Type == "Predicted (weighted)"))
-  | map(select(.["State Abbreviation"] == $state))
-  | filter_period($period)
-  | group_by(.Week)
-  | map(collate_weeks($period))
-  | .[] | "week \(.week): \(.count)"