Analysis: read a rarely-read meter as coarse, not absent; newest rows first

Three things a reported Heizoel page got wrong at once. Its tank is dipped
a few times a year and its burner read every few months, which is exactly
the shape the coverage rules had not been walked through.

"No data" for data that exists. A tank books nothing until the next
dipstick closes the interval, so the stretch after the last dipstick is
covered by no run at all, and a bucket no run covers was reported missing.
The burner, whose run reaches into the window, said "only coarser data" --
the honest answer -- so one card claimed there was nothing while the
coverage panel beside it listed years of data. A bucket that no run covers,
no gap overlaps and no opening balance explains now reports the meter's
resolution when its preceding coverage is within one interval of its own
class: it is not silent, it is read rarely. A meter that does book its own
buckets and stops -- a dead hourly source, a sheet asked about a later
month -- still reads missing.

Auto answering twelve months with one bar. Coarse only means "longer than
a month", so a dipstick taken each autumn straddles a New Year as surely
as a month start: coarsening the chart to years bought nothing and cost
every point. The planning resolution now caps coarse at month when a run
crosses a local year edge, and a series that cannot resolve the natural
size no longer coarsens the whole chart -- it is drawn at that size with
its buckets marked, which the chart and table already explain.

A page contradicting itself. The comparison line above the ranking was fed
the leading measure's matched coverage but worded as if it spoke for the
page, directly above a burner row that did compare. It now names the figure
it is about.

Alongside: the "largest changes" ranking no longer drops a meter whose
change is not comparable. It ranks what can be ranked, then lists the rest
with their values and the reason -- the tank had been vanishing from its
own energy type. And every dated table now reads newest first, as lists
are read; charts stay chronological left to right, and the CSV export
stays ascending for spreadsheets.

A-41 to A-43 in the note record the three rules.

tests/Core.Tests/Analysis/CoverageEvaluatorTests.cs

@@ -335,6 +335,93 @@ public sealed class CoverageEvaluatorTests
         Assert.Equal(0d, coverage.CoveredFraction);
     }
 
+    // ---- Waiting for a measurement coarser than the bucket (A-41) ------------------------------------
+
+    [Fact]
+    public void Buckets_after_a_dipstick_wait_for_the_next_one_instead_of_reading_as_no_data()
+    {
+        // A heating-oil tank dipped on 5 October 2024 and 20 September 2025: one interval, coarser than a month.
+        // "Last 12 months" opens eleven days after the last dipstick, so nothing covers it — but the tank is
+        // neither silent nor broken, it is read twice a year. Every bucket says "only coarser data", with that
+        // resolution, and none of them claims a number.
+        var dipsticks = Single(At(2024, 10, 5, 10), At(2025, 9, 20, 10), ResolutionClass.Coarse);
+
+        var october = Evaluate(Month(2025, 10), dipsticks);
+        var august = Evaluate(Month(2026, 8), dipsticks);
+
+        Assert.Equal(BucketStatus.Unresolved, october.Status);
+        Assert.Equal(ValueIssue.CoarseResolution, october.Issue);
+        Assert.Equal(ResolutionClass.Coarse, october.Resolution);
+        Assert.Equal(TimeSpan.Zero, october.Covered);
+        Assert.Null(october.ToValue(0, Provenance.None).Value);
+        Assert.Equal(BucketStatus.Unresolved, august.Status);
+    }
+
+    [Fact]
+    public void A_bucket_before_a_meters_first_reading_is_missing_not_waiting()
+    {
+        // Nothing precedes it: the tank had not been dipped once, so there is no measurement on its way.
+        var dipsticks = Single(At(2024, 10, 5, 10), At(2025, 9, 20, 10), ResolutionClass.Coarse);
+
+        Assert.Equal(BucketStatus.Missing, Evaluate(Month(2024, 3), dipsticks).Status);
+    }
+
+    [Fact]
+    public void A_meter_that_books_its_own_buckets_still_reads_as_no_data_where_it_has_none()
+    {
+        // The rule is only for data too coarse for the bucket: an hourly source that went silent in March, and a
+        // monthly sheet that ends in March, both book their buckets as they go, so a bucket they do not cover
+        // really has no data.
+        var hourly = Run(At(2026, 1, 1), At(2026, 3, 15), ResolutionClass.Hour);
+        var sheet = MonthLabels(2026, 1, 2026, 4);
+
+        Assert.Equal(BucketStatus.Missing, Evaluate(Month(2026, 4), hourly).Status);
+        Assert.Equal(BucketStatus.Missing, Evaluate(Day(2026, 4, 2), hourly).Status);
+        Assert.Equal(BucketStatus.Missing, Evaluate(Month(2026, 5), sheet).Status);
+        Assert.Equal(BucketStatus.Missing, Evaluate(Year(2027), sheet).Status);
+    }
+
+    [Fact]
+    public void A_monthly_sheet_waits_a_month_for_its_next_row_and_then_has_no_data()
+    {
+        // Monthly rows cannot fill a day bucket at all, so the days right after the sheet ends are unresolved —
+        // the April row will book them. Two years on, the sheet is not late but over (A-04, LimitOf).
+        var sheet = MonthLabels(2026, 1, 2026, 4);
+
+        Assert.Equal(BucketStatus.Unresolved, Evaluate(Day(2026, 4, 2), sheet).Status);
+        Assert.Equal(ResolutionClass.Month, Evaluate(Day(2026, 4, 2), sheet).Resolution);
+        Assert.Equal(BucketStatus.Missing, Evaluate(Day(2028, 4, 2), sheet).Status);
+    }
+
+    [Fact]
+    public void A_known_hole_keeps_its_own_reason_rather_than_waiting()
+    {
+        // A gap run overlapping the bucket is a hole someone has to explain, not a measurement on its way.
+        CoverageRun[] runs =
+        [
+            Single(At(2024, 10, 5, 10), At(2025, 9, 20, 10), ResolutionClass.Coarse),
+            Gap(At(2025, 9, 20, 10), At(2026, 2, 1), CoverageGapReason.UnexplainedDecrease),
+        ];
+
+        var coverage = Evaluate(Month(2025, 11), runs);
+
+        Assert.Equal(BucketStatus.Missing, coverage.Status);
+        Assert.Equal(ValueIssue.RegisterDiscontinuity, coverage.Issue);
+    }
+
+    [Fact]
+    public void A_series_reads_the_waiting_buckets_exactly_as_one_by_one()
+    {
+        var dipsticks = Single(At(2024, 10, 5, 10), At(2025, 9, 20, 10), ResolutionClass.Coarse);
+        List<AnalysisBucket> months = [.. Enumerable.Range(0, 12).Select(i => Month(2025 + ((9 + i) / 12), (((9 + i) % 12) + 1)))];
+
+        var series = CoverageEvaluator.EvaluateSeries(months, [dipsticks], Berlin, null);
+
+        Assert.Equal(months.Select(m => Evaluate(m, dipsticks).Status), series.Select(c => c.Status));
+        Assert.All(series, c => Assert.Equal(BucketStatus.Unresolved, c.Status));
+        Assert.All(series, c => Assert.Equal(ResolutionClass.Coarse, c.Resolution));
+    }
+
     [Fact]
     public void Runs_that_only_touch_the_bucket_edges_do_not_cover_it()
     {