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Claude
fd70ccfc13
Both arrived as real charts before the sins existed, which is the better order — the specimen makes the failure mode obvious. "Bar Colours That Contradict Their Labels" (severity 2): categories that already own a colour, drawn in a default palette, so Black is a green bar. Nothing false, which is exactly why it's a 2 under our rubric — but colour is pre-attentive, so the reader pays the cost on every glance. "A Colour Scale That Changed Between Two Charts" (severity 4): the Tagesschau incidence maps, rebinned from 25/50/100/250/500 to 20/35/50/100/200 three weeks apart while being presented as a before-and-after. A colour key is an axis, and moving it mid-comparison is the axis crime we don't police because a legend reads as formatting. The bad chart there needed an explicit independent colour resolve — Vega-Lite merges scales across a concat by default, which silently unified the two legends and destroyed the entire demonstration. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01ULE5RRxdQE1ebwefEd2eCM
238 lines
4.7 KiB
JSON
238 lines
4.7 KiB
JSON
{
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"title": "7-Day Incidence by District",
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"data": {
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"values": [
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{
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"district": "A",
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"row": "7-day incidence",
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"when": "17 March",
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"value": 22
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},
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{
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"district": "B",
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"row": "7-day incidence",
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"when": "17 March",
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"value": 38
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},
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{
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"district": "C",
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"row": "7-day incidence",
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"when": "17 March",
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"value": 45
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},
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{
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"district": "D",
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"row": "7-day incidence",
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"when": "17 March",
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"value": 60
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},
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{
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"district": "E",
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"row": "7-day incidence",
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"when": "17 March",
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"value": 85
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},
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{
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"district": "F",
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"row": "7-day incidence",
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"when": "17 March",
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"value": 110
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},
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{
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"district": "G",
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"row": "7-day incidence",
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"when": "17 March",
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"value": 140
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},
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{
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"district": "H",
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"row": "7-day incidence",
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"when": "17 March",
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"value": 190
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},
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{
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"district": "A",
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"row": "7-day incidence",
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"when": "9 April",
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"value": 45
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},
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{
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"district": "B",
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"row": "7-day incidence",
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"when": "9 April",
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},
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{
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"district": "C",
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"row": "7-day incidence",
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"when": "9 April",
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"value": 88
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},
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{
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"district": "D",
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"row": "7-day incidence",
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"when": "9 April",
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{
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"district": "E",
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"row": "7-day incidence",
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"when": "9 April",
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},
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{
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"district": "F",
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"row": "7-day incidence",
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"when": "9 April",
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"value": 175
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},
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{
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"district": "G",
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"row": "7-day incidence",
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"when": "9 April",
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"value": 210
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},
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{
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"district": "H",
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"row": "7-day incidence",
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"when": "9 April",
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"value": 260
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}
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]
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"hconcat": [
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"title": "17 March",
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{
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"filter": "datum.when === '17 March'"
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}
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],
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},
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"encoding": {
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"x": {
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"field": "district",
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"type": "nominal",
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"y": {
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"field": "row",
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"color": {
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"field": "value",
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"type": "quantitative",
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"type": "threshold",
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25,
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250
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"#da1e28",
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"#750e13"
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]
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},
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"legend": {
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"title": "cases / 100k",
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"orient": "bottom",
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"direction": "horizontal"
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}
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}
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}
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},
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{
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"title": "9 April",
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{
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"filter": "datum.when === '9 April'"
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}
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"color": {
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"field": "value",
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"type": "quantitative",
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"scale": {
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"type": "threshold",
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"domain": [
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100,
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200
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"range": [
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"#fff1f1",
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"#ffd7d9",
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"#da1e28",
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"#750e13"
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]
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},
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"legend": {
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"title": "cases / 100k",
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"orient": "bottom",
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"direction": "horizontal"
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}
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}
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}
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}
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],
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"resolve": {
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"scale": {
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"color": "independent"
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"legend": {
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"color": "independent"
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}
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}
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}
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