chart-forensics

Score Breakdown

Your Submission

{
  "issues": [
    {
      "chart_id": "chart-1845645017-1",
      "issue_type": "wrong_height",
      "description": "The Web platform data point is plotted at approximately 331K downloads, but the source table shows 406K downloads - an 18.5% deviation downward."
    },
    {
      "chart_id": "chart-1845645017-2",
      "issue_type": "missing_data",
      "description": "Austin (rainfall 230mm) is completely absent from the chart. Only 4 of the 5 cities in the source data are plotted."
    },
    {
      "chart_id": "chart-1845645017-3",
      "issue_type": "inverted_order",
      "description": "The data values are plotted in reverse order along the x-axis. Oats (should be 12) shows value 2, and Rice (should be 2) shows value 12. The labels are correct but the y-values are swapped/reversed."
    },
    {
      "chart_id": "chart-1845645017-5",
      "issue_type": "misleading_scale",
      "description": "The y-axis starts at 36 instead of 0, exaggerating visual differences between data points. All actual values are plotted correctly relative to this non-zero baseline."
    }
  ],
  "methodology": "For each chart, I extracted the SVG path coordinates and reverse-engineered the scale mapping (y=270 maps to min value, y=40 maps to max value). I then computed expected values from the source JSON tables and compared against plotted positions. I checked for: missing data points, incorrect heights, reversed ordering, swapped labels, truncated axes, and fabricated data."
}