Compare commits

..
Author SHA1 Message Date
TudorandClaude Fable 5 4e6be0ce65 fix(detail): banded first-choice interpretation + plain-English P8 absence copy
PR Checks / Frontend Typecheck + Tests (pull_request) Successful in 1m2s
PR Checks / Backend Smoke (pull_request) Successful in 7s
PR Checks / Build Backend (no push) (pull_request) Successful in 10s
PR Checks / Build Frontend (no push) (pull_request) Successful in 46s
PR Checks / Build Pipeline (no push) (pull_request) Successful in 10s
PR Checks / AI Code Review (Claude) (pull_request) Successful in 24s
Batch C (points 7-10):
- Point 7: the admissions section shows the first-choice offer rate but no
  sense of how severe a low rate is. Reuse the compare screen's banded
  summariseAdmissions ('More than half of first choices missed out' etc.)
  as an interpretive line under the tiles. (Selective/faith framing was
  already present via admissionsTag.)
- Point 8: replace the jargon P8-suspended banner ('not used for
  accountability purposes ... treat with caution') with the compare
  screen's plain-English 'no KS2 baseline (COVID)' explanation.
- Points 9 (disadvantaged cohort sizes) and 10 (FSM benchmark) don't apply
  to the detail page: it shows disadvantaged composition, not disadvantaged
  attainment, and no FSM-vs-benchmark comparison — so there's no small-cohort
  caveat or cross-definition fallback to fix here.
- Also fixed a stray lowercase 'national avg' provenance string Batch B
  missed.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0146VHeLAWjDVE2B5uU67jCB
2026-07-20 12:03:23 +01:00
5 changed files with 42 additions and 69 deletions
+7 -18
View File
@@ -10,7 +10,6 @@ import { Line } from 'react-chartjs-2';
import { ChartOptions } from 'chart.js';
import '@/lib/chartSetup';
import { formatAcademicYear } from '@/lib/utils';
import { fillAcademicYears } from '@/lib/compareChartData';
import type { SchoolAdmissions } from '@/lib/types';
import styles from './AdmissionsTrendChart.module.css';
@@ -18,22 +17,13 @@ export default function AdmissionsTrendChart({ history }: { history: SchoolAdmis
const pts = history.filter((h) => h.first_preference_offer_pct != null);
if (pts.length < 2) return null;
// Gap-honest axis: every academic year between the first and last data point
// appears, so a missing admissions year renders as a real gap (spanGaps:false)
// rather than compressing time between distant years.
const axisYears = fillAcademicYears(pts.map((p) => p.year));
const byYear = new Map(pts.map((p) => [p.year, p.first_preference_offer_pct as number]));
const labels = axisYears.map(formatAcademicYear);
const values: (number | null)[] = axisYears.map((y) => byYear.get(y) ?? null);
const present = values
.map((v, i) => (v != null ? i : -1))
.filter((i) => i >= 0);
const lastIdx = present[present.length - 1];
const labels = pts.map((p) => formatAcademicYear(p.year));
const values = pts.map((p) => p.first_preference_offer_pct as number);
const lastIdx = pts.length - 1;
// Auto-scale with headroom so variation is visible, clamped to 0100.
const numeric = values.filter((v): v is number => v != null);
const lo = Math.min(...numeric);
const hi = Math.max(...numeric);
const lo = Math.min(...values);
const hi = Math.max(...values);
const padded = Math.max(5, Math.round((hi - lo) * 0.25));
const yMin = Math.max(0, Math.floor((lo - padded) / 5) * 5);
const yMax = Math.min(100, Math.ceil((hi + padded) / 5) * 5);
@@ -79,16 +69,15 @@ export default function AdmissionsTrendChart({ history }: { history: SchoolAdmis
label: 'First-choice offer rate',
data: values,
clip: false as const,
spanGaps: false,
borderColor: '#e07256',
backgroundColor: 'rgba(224,114,86,0.10)',
borderWidth: 2.5,
tension: 0.3,
fill: true,
pointRadius: values.map((_, i) => (i === lastIdx ? 5 : 3)),
pointRadius: pts.map((_, i) => (i === lastIdx ? 5 : 3)),
pointBackgroundColor: '#e07256',
pointBorderColor: '#fff',
pointBorderWidth: values.map((_, i) => (i === lastIdx ? 2 : 0)),
pointBorderWidth: pts.map((_, i) => (i === lastIdx ? 2 : 0)),
pointHoverRadius: 6,
},
],
+23 -44
View File
@@ -16,7 +16,6 @@ import { ChartOptions, ChartDataset } from 'chart.js';
import '@/lib/chartSetup';
import type { SchoolResult } from '@/lib/types';
import { formatAcademicYear } from '@/lib/utils';
import { fillAcademicYears } from '@/lib/compareChartData';
import { useIsMobile } from '@/hooks/useIsMobile';
import { track } from '@/lib/analytics';
import styles from './PerformanceChart.module.css';
@@ -36,6 +35,8 @@ interface PerformanceChartProps {
nationalByYear?: NationalByYear[];
}
const COVID_YEARS = new Set([201920, 202021]);
// Mobile chip definitions: which datasets render when each chip is active.
// `series` keys reference the dataset labels so we can filter cleanly.
type ChipId = 'expected' | 'higher' | 'progress' | 'attainment8' | 'em_pass' | 'progress8';
@@ -66,33 +67,21 @@ export function PerformanceChart({
nationalByYear,
}: PerformanceChartProps) {
const sortedData = [...data].sort((a, b) => a.year - b.year);
// Gap-honest year axis: every academic year between the first and last data
// point appears, so cancelled/unpublished years (2019/20, 2020/21, and — for
// KS2 — 2021/22) render as real gaps rather than compressed time. School
// lines never bridge these gaps (spanGaps:false below).
const axisYears = fillAcademicYears(sortedData.map(d => d.year));
const byYear = new Map(sortedData.map(d => [d.year, d]));
const col = (key: keyof SchoolResult): (number | null)[] =>
axisYears.map(y => {
const v = byYear.get(y)?.[key];
return typeof v === 'number' ? v : null;
});
const years = axisYears.map(formatAcademicYear);
const years = sortedData.map(d => formatAcademicYear(d.year));
const isMobile = useIsMobile();
// ── Build per-year national averages (aligned to the filled axis) ────
const natRefRwm: (number | null)[] = axisYears.map(y => {
// ── Build per-year national averages ─────────────────────────────────
const natRefRwm: (number | null)[] = sortedData.map(d => {
if (nationalByYear) {
const match = nationalByYear.find(n => n.year === y);
const match = nationalByYear.find(n => n.year === d.year);
return match?.primary?.rwm_expected_pct ?? null;
}
return nationalRwmAvg ?? null;
});
const natRefAtt8: (number | null)[] = axisYears.map(y => {
const natRefAtt8: (number | null)[] = sortedData.map(d => {
if (nationalByYear) {
const match = nationalByYear.find(n => n.year === y);
const match = nationalByYear.find(n => n.year === d.year);
return match?.secondary?.attainment_8_score ?? null;
}
return nationalAtt8Avg ?? null;
@@ -118,11 +107,10 @@ export function PerformanceChart({
return `${arrow} Reading, Writing & Maths peaked at ${bestPct}% (${formatAcademicYear(best.year)}), currently ${latestPct}%`;
})();
// A gap year is any filled axis year the school has no results row for —
// exactly the cancelled/unpublished years the fill introduced. Drives the
// honest note below (KS2 and KS4 have different gap stories).
const gapYears = axisYears.filter(y => !byYear.has(y));
const hasGap = gapYears.length > 0;
const hasCovidGap = isSecondary
? false
: COVID_YEARS.size > 0 &&
[...COVID_YEARS].some(y => !sortedData.find(d => d.year === y));
// ── Datasets (full set; mobile filters them via the active chip) ─────
const refLineStyle = {
@@ -132,14 +120,13 @@ export function PerformanceChart({
borderDash: [6, 4] as number[],
pointRadius: 0,
tension: 0,
spanGaps: false as const,
order: 10,
};
const allDatasets: ChartDataset<'line'>[] = isSecondary ? [
{
label: 'Attainment 8',
data: col('attainment_8_score'),
data: sortedData.map(d => d.attainment_8_score),
borderColor: '#2d7d7d',
backgroundColor: 'rgba(45,125,125,0.08)',
borderWidth: 2.5,
@@ -150,7 +137,7 @@ export function PerformanceChart({
},
{
label: 'English & Maths Grade 4+',
data: col('english_maths_standard_pass_pct'),
data: sortedData.map(d => d.english_maths_standard_pass_pct),
borderColor: '#c9a227',
backgroundColor: 'rgba(201,162,39,0.08)',
borderWidth: 1.5,
@@ -160,7 +147,7 @@ export function PerformanceChart({
},
{
label: 'Progress 8',
data: col('progress_8_score'),
data: sortedData.map(d => d.progress_8_score),
borderColor: 'rgb(139,92,246)',
backgroundColor: 'rgba(139,92,246,0.08)',
borderWidth: 1.5,
@@ -178,7 +165,7 @@ export function PerformanceChart({
] : [
{
label: 'Reading, Writing & Maths expected %',
data: col('rwm_expected_pct'),
data: sortedData.map(d => d.rwm_expected_pct),
borderColor: '#2d7d7d',
backgroundColor: 'rgba(45,125,125,0.08)',
borderWidth: 2.5,
@@ -189,7 +176,7 @@ export function PerformanceChart({
},
{
label: 'Exceeding expected level',
data: col('rwm_high_pct'),
data: sortedData.map(d => d.rwm_high_pct),
borderColor: '#c9a227',
backgroundColor: 'rgba(201,162,39,0.08)',
borderWidth: 1.5,
@@ -205,7 +192,7 @@ export function PerformanceChart({
} as ChartDataset<'line'>] : []),
{
label: 'Reading progress',
data: col('reading_progress'),
data: sortedData.map(d => d.reading_progress),
borderColor: 'rgb(59,130,246)',
backgroundColor: 'rgba(59,130,246,0.08)',
borderWidth: 1.5,
@@ -216,7 +203,7 @@ export function PerformanceChart({
},
{
label: 'Writing progress',
data: col('writing_progress'),
data: sortedData.map(d => d.writing_progress),
borderColor: 'rgb(139,92,246)',
backgroundColor: 'rgba(139,92,246,0.08)',
borderWidth: 1.5,
@@ -227,7 +214,7 @@ export function PerformanceChart({
},
{
label: 'Maths progress',
data: col('maths_progress'),
data: sortedData.map(d => d.maths_progress),
borderColor: 'rgb(236,72,153)',
backgroundColor: 'rgba(236,72,153,0.08)',
borderWidth: 1.5,
@@ -288,8 +275,6 @@ export function PerformanceChart({
responsive: true,
maintainAspectRatio: false,
interaction: { mode: 'index', intersect: false },
// Never bridge missing years — cancelled/unpublished years are real gaps.
datasets: { line: { spanGaps: false } },
plugins: {
legend: {
position: 'top',
@@ -341,7 +326,6 @@ export function PerformanceChart({
responsive: true,
maintainAspectRatio: false,
interaction: { mode: 'index', intersect: false },
datasets: { line: { spanGaps: false } },
plugins: {
legend: { display: false },
title: { display: false },
@@ -369,10 +353,7 @@ export function PerformanceChart({
},
x: {
grid: { display: false },
// With the gap-honest axis (more year labels) autoSkip keeps the
// phone axis readable; the broken line still shows where a year is
// missing even when its tick label is skipped.
ticks: { font: { size: 10 }, autoSkip: true, maxTicksLimit: 5, maxRotation: 0 },
ticks: { font: { size: 10 }, autoSkip: false },
},
},
};
@@ -435,11 +416,9 @@ export function PerformanceChart({
</div>
)}
{hasGap && (
{hasCovidGap && (
<p className={styles.covidNote}>
{isSecondary
? "School-level GCSE figures for 2019/20 and 2020/21 weren't published (COVID grading) where the line breaks — the England average is shown where available."
: "No national tests were held in 2019/20 and 2020/21 (COVID), and DfE didn't publish school-level figures for 2021/22 — the England average is shown for those years where available."}
* No data for 2019/20 or 2020/21 national assessments were cancelled due to COVID-19.
</p>
)}
+9 -1
View File
@@ -21,6 +21,7 @@ import {
formatPercentage, formatProgress, formatAcademicYear, isProposedToClose, ofstedLegacyAreas,
} from '@/lib/utils';
import { DeltaChip } from './DeltaChip';
import { summariseAdmissions } from '@/lib/compareLogic';
const PerformanceChart = dynamic(
() => import('./PerformanceChart').then((m) => m.PerformanceChart),
@@ -85,6 +86,10 @@ export function SchoolDetailView({
// Trend toggle only appears with ≥2 years carrying an offer rate.
const admissionsOfferYears = admissionsHistory.filter((h) => h.first_preference_offer_pct != null).length;
const showAdmissionsTrend = admissionsOfferYears >= 2;
// Banded interpretation of the first-choice offer rate ("More than half of
// first choices missed out" etc.) — the same banding the compare screen
// uses, so a low offer rate reads as how severe it actually is.
const admissionsSummary = summariseAdmissions(admissions);
// Only the section links scroll horizontally; Back and "All" stay pinned.
const sectionLinksRef = useRef<HTMLDivElement | null>(null);
const [sectionNavAtEnd, setSectionNavAtEnd] = useState(false);
@@ -906,6 +911,9 @@ export function SchoolDetailView({
</div>
)}
</dl>
{admissionsSummary.chip && (
<p className={styles.admissionsTrendSummary}>{admissionsSummary.chip.text}</p>
)}
</div>
{/* Multi-year trend */}
@@ -941,7 +949,7 @@ export function SchoolDetailView({
<DeltaChip value={latestResults.disadvantaged_pct} baseline={primaryAvg.disadvantaged_pct} unit="pts" size="sm" />
)}
</div>
<div className={styles.heroStatHint}>Pupils from disadvantaged backgrounds{primaryAvg.disadvantaged_pct != null ? ` · national avg: ${primaryAvg.disadvantaged_pct.toFixed(0)}%` : ''}</div>
<div className={styles.heroStatHint}>Pupils from disadvantaged backgrounds{primaryAvg.disadvantaged_pct != null ? ` · England avg: ${primaryAvg.disadvantaged_pct.toFixed(0)}%` : ''}</div>
</div>
)}
{latestResults?.eal_pct != null && (
@@ -1049,12 +1049,8 @@
font-size: 1.85rem;
}
/* On mobile let the chart container flow naturally — PerformanceChart's
own .chartWrapper carries the definite canvas height (220px) plus the
chip strip above it. A fixed 220px here double-constrained the two and
clipped the chips onto the plot area. */
.chartContainer {
height: auto;
height: 220px;
}
.dataTable {
@@ -457,7 +457,8 @@ export function SecondarySchoolDetailView({
{p8Suspended && (
<div className={styles.p8Banner}>
Progress 8 scores for 2024/25 are not used for accountability purposes following the KS2 assessment disruption. Treat with caution.
Progress 8 isn&apos;t published for 2024/25: this GCSE year group sat no KS2 tests
(COVID), so DfE has no starting point to measure their progress from.
</div>
)}