Flag the readings that do not fit

'anomaly-detection': () => {
  const rows = Array.from({ length: 48 }, (_, i) => {
    let value = 200 + Math.round(Math.sin(i / 4) * 12);
    if (i === 9) value = 340;
    if (i === 22) value = 70;
    if (i === 31) value = 360;
    if (i === 40) value = 95;
    return { id: i + 1, day: i + 1, value };
  });
  return {
    rows,
    config: {
      rowKey: 'id',
      anomalySummary: { label: 'Anomalies' },
      columns: [
        { field: 'day', title: 'Day', type: 'number', layout: { width: 80, pin: 'start' } },
        { field: 'value', title: 'Reading', type: 'number', total: 'median', layout: { flex: 1, min: 120 } },
        { id: 'score', title: 'Anomaly score', shadow: { of: 'value', kind: 'anomalyScore' }, type: 'number', format: { decimals: 2, signed: true }, layout: { width: 150 } },
        { id: 'flag', title: 'Anomaly', shadow: { of: 'value', kind: 'anomalyFlag' }, layout: { width: 120 } },
      ],
    },
    foot: [
      'the anomaly column flags the readings that sit too far from the rest, scored by a robust measure that a single outlier cannot skew',
      'the score says how far out each reading is, signed so a spike and a dip read apart',
      'the chip in the toolbar counts how many were flagged; click it to filter the grid to exactly those rows',
    ],
  };
},