The counts behind the chart, so you can rebuild it without us.

with adm as (
  select *, extract(year from transaction_date)::int as yr
  from warehouse
  where source in ('pdf', 'official-senate-efd')
  and superseded_at is null
  and nullif(trim(member_slug), '') is not null
  and nullif(trim(member), '')      is not null
  and nullif(trim(doc_id), '')      is not null
  and transaction_date is not null
  and filing_date      is not null
  and filing_date >= transaction_date
  and pdf_url ~ '^https://(disclosures-clerk[.]house[.]gov/.+[.]pdf([?].*)?|efdsearch[.]senate[.]gov/.+)$'
)
select yr as year,
  count(*) as rows_denominator,
  count(*) filter (where nullif(trim(coalesce(ticker, '')), '') is not null) as ticker_n,
  count(*) filter (where owner_type is not null) as owner_n,
  count(*) filter (where nullif(trim(coalesce(ticker, '')), '') is not null
                     and owner_type is not null
                     and amount_low is not null
                     and nullif(trim(coalesce(asset, '')), '') is not null) as all_four_n
from adm
where yr between 2014 and 2025
group by yr order by yr;

-- "All four" tests the amount floor, not a complete range. The top band is
-- "Over $50,000,000" and has no upper bound on the form, so requiring one
-- would penalise a correctly completed filing.
with adm as (
  select *, extract(year from transaction_date)::int as yr
  from warehouse
  where source in ('pdf', 'official-senate-efd')
  and superseded_at is null
  and nullif(trim(member_slug), '') is not null
  and nullif(trim(member), '')      is not null
  and nullif(trim(doc_id), '')      is not null
  and transaction_date is not null
  and filing_date      is not null
  and filing_date >= transaction_date
  and pdf_url ~ '^https://(disclosures-clerk[.]house[.]gov/.+[.]pdf([?].*)?|efdsearch[.]senate[.]gov/.+)$'
), sub as (select * from adm where yr between 2014 and 2025)
select count(*) filter (where amount_low is not null)                             as floor_present,  -- 49,916
       count(*) filter (where amount_low is not null and amount_high is not null) as both_bounds,    -- 49,913
       count(*) filter (where amount_range = 'Over $50,000,000')                  as open_ended      --      2
from sub;

-- Distinct counts over the whole 2014-2025 subset. These deliberately do
-- NOT equal the sum of the yearly counts: one document and one filer can
-- appear in more than one transaction year.
with adm as (
  select *, extract(year from transaction_date)::int as yr
  from warehouse
  where source in ('pdf', 'official-senate-efd')
  and superseded_at is null
  and nullif(trim(member_slug), '') is not null
  and nullif(trim(member), '')      is not null
  and nullif(trim(doc_id), '')      is not null
  and transaction_date is not null
  and filing_date      is not null
  and filing_date >= transaction_date
  and pdf_url ~ '^https://(disclosures-clerk[.]house[.]gov/.+[.]pdf([?].*)?|efdsearch[.]senate[.]gov/.+)$'
), sub as (select * from adm where yr between 2014 and 2025)
select count(*)                        as rows,          -- 49,916
       count(distinct doc_id)          as documents,     -- 6,133
       count(distinct member_slug)     as filers         -- 351
from sub;

-- The same numbers summed per year instead, which is the wrong way to get
-- them and is published here so the difference is checkable rather than
-- asserted: 6,310 documents and 1,274 filers.
with adm as (
  select *, extract(year from transaction_date)::int as yr
  from warehouse
  where source in ('pdf', 'official-senate-efd')
  and superseded_at is null
  and nullif(trim(member_slug), '') is not null
  and nullif(trim(member), '')      is not null
  and nullif(trim(doc_id), '')      is not null
  and transaction_date is not null
  and filing_date      is not null
  and filing_date >= transaction_date
  and pdf_url ~ '^https://(disclosures-clerk[.]house[.]gov/.+[.]pdf([?].*)?|efdsearch[.]senate[.]gov/.+)$'
), sub as (select * from adm where yr between 2014 and 2025)
select sum(d) as sum_yearly_documents,   -- 6,310
       sum(f) as sum_yearly_filers       -- 1,274
from (select count(distinct doc_id) d, count(distinct member_slug) f
      from sub group by yr) per_year;

where source in ('pdf', 'official-senate-efd')
  and superseded_at is null
  and nullif(trim(member_slug), '') is not null
  and nullif(trim(member), '')      is not null
  and nullif(trim(doc_id), '')      is not null
  and transaction_date is not null
  and filing_date      is not null
  and filing_date >= transaction_date
  and pdf_url ~ '^https://(disclosures-clerk[.]house[.]gov/.+[.]pdf([?].*)?|efdsearch[.]senate[.]gov/.+)$'

# plot_field_completeness.py (excerpt) - the full script is linked below.
# Every rate on the chart is computed here from the counts above. No
# percentage is hand-typed anywhere in the pipeline.

COUNTS = {  # year: (rows_denominator, ticker_n, owner_n, all_four_n)
    2014: (2125, 1315,  889,  664),
    2015: (3152, 2179, 1872, 1423),
    ...
    2025: (8014, 7291, 4326, 3867),
}

assert sum(v[0] for v in COUNTS.values()) == 49_916
for year, (denom, *nums) in COUNTS.items():
    for n in nums:
        assert 0 <= n <= denom          # a numerator cannot exceed its denominator

rate = lambda idx: [100.0 * COUNTS[y][idx] / COUNTS[y][0] for y in sorted(COUNTS)]