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You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"nonuniform_tick_spacing","explanation":"Unequal numeric tick intervals occupy equal pixel distances, so the vertical mapping is not linear."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":160,"ticks":[{"value":0.0,"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"truncated_y_axis","explanation":"The y minimum is 67.15 while the observed spread is only 74, visually exaggerating the differences."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"y","min":0,"max":170,"ticks":[{"value":0.0,"position_px"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"inconsistent_bin_widths","explanation":"Numeric intervals of different widths occupy the same number of pixels, so their bar areas are not comparable."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":4,"right_edge":8,"count"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"dual_axes_mismatched_scales","explanation":"Each vertical axis is tightly fitted to its own series, making changes with different magnitudes fill the same plot height."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axes","value":{"left":{"field":"left_value","...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"area_encoding_linear_quantity","explanation":"The symbol radius changes linearly with the quantity, so visible area changes with its square."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"category":"Alder","value":19,"radius_px":120}...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The association is negative, with Pearson correlation -0.94; this does not establish causation."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"Cedar has the largest share at 35%; Quartz is smallest at 11%."}]},"what_the_data_actually_shows":"Cedar has the largest share at 35%; Quartz is smallest at 11%."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The 10 to 16 interval has the largest count (56)."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"cherry_picked_date_range","explanation":"The axis begins at 2018 although source observations begin at 2014, hiding the earlier reversal."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"x_axis","value":{"field":"date","min":"2014","max":"2022","ticks":[{"value":...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"missing_baseline","explanation":"The source contains a target of 400, but no rendered layer shows it for the claimed comparison."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"path","axis":"left","x_field":"date","y_field":"left_value",...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"omitted_categories","explanation":"Oak appears in the source data with value 33 but has no rendered mark."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"sector","values":[{"category":"Yarrow","value":14,"radius_px":120},{"category":"Va...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"nonuniform_tick_spacing","explanation":"Unequal numeric tick intervals occupy equal pixel distances, so the vertical mapping is not linear."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"y","min":0,"max":100,"ticks":[{"value":0.0,"posit...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"truncated_y_axis","explanation":"The y minimum is 15.3 while the observed spread is only 73, visually exaggerating the differences."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"count","min":0,"max":110,"ticks":[{"value":0.0,"position...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"inconsistent_bin_widths","explanation":"Numeric intervals of different widths occupy the same number of pixels, so their bar areas are not comparable."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":5,"right_edge":11,"count"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"dual_axes_mismatched_scales","explanation":"Each vertical axis is tightly fitted to its own series, making changes with different magnitudes fill the same plot height."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axes","value":{"left":{"field":"left_value",...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The left measure changed by +77 and the right measure by +16, so they moved in the same direction."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"Iris is highest at 148; Vale is lowest at 66."}]},"what_the_data_actually_shows":"Iris is highest at 148; Vale is lowest at 66."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"From 2011 to 2019, the metric decreased by 0 after reversing within the period."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"area_encoding_linear_quantity","explanation":"The symbol radius changes linearly with the quantity, so visible area changes with its square."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"x":8,"y":84,"magnitude":56,"radius_px":14.97}...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"cherry_picked_date_range","explanation":"The axis begins at 2022 although source observations begin at 2018, hiding the earlier reversal."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"x_axis","value":{"field":"date","min":"2018","max":"2026","ticks":[{"value":"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"missing_baseline","explanation":"The source contains a target of 105, but no rendered layer shows it for the claimed comparison."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"rectangle","x_field":"category","y_field":"value","values":...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"omitted_categories","explanation":"Dune appears in the source data with value 165 but has no rendered mark."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"rectangle","x_field":"category","y_field":"value","values":[{"category":"Birch","...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"nonuniform_tick_spacing","explanation":"Unequal numeric tick intervals occupy equal pixel distances, so the vertical mapping is not linear."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"count","min":0,"max":110,"ticks":[{"value":0.0,"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"truncated_y_axis","explanation":"The y minimum is 80.75 while the observed spread is only 42, visually exaggerating the differences."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":160,"ticks":[{"value":0.0,"position...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"inconsistent_bin_widths","explanation":"Numeric intervals of different widths occupy the same number of pixels, so their bar areas are not comparable."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":8,"right_edge":9,"count"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"From 2014 to 2022, the metric increased by 3 after reversing within the period."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"The association is positive, with Pearson correlation 0.98; this does not establish causation."}]},"what_the_data_actually_shows":"The association is positive, with Pearson correlation 0.98; this does not establ...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"Alder has the largest share at 28%; Tide is smallest at 10%."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"dual_axes_mismatched_scales","explanation":"Each vertical axis is tightly fitted to its own series, making changes with different magnitudes fill the same plot height."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axes","value":{"left":{"field":"left_value",...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"area_encoding_linear_quantity","explanation":"The symbol radius changes linearly with the quantity, so visible area changes with its square."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"category":"Reed","value":20,"radius_px":120},{...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"cherry_picked_date_range","explanation":"The axis begins at 2015 although source observations begin at 2011, hiding the earlier reversal."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"x_axis","value":{"field":"date","min":"2011","max":"2018","ticks":[{"value":...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"missing_baseline","explanation":"The source contains a target of 140, but no rendered layer shows it for the claimed comparison."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"path","x_field":"date","y_field":"value","values":[{"date":"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"omitted_categories","explanation":"Linden appears in the source data with value 28 but has no rendered mark."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"sector","values":[{"category":"Summit","value":14,"radius_px":120},{"category":...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"nonuniform_tick_spacing","explanation":"Unequal numeric tick intervals occupy equal pixel distances, so the vertical mapping is not linear."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axes.left","value":{"field":"left_value","min":0,"max":620,"ticks":[{"val...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"truncated_y_axis","explanation":"The y minimum is 121.55 while the observed spread is only 32, visually exaggerating the differences."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":200,"ticks":[{"value":0.0,"positi...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The 10 to 11 interval has the largest count (93)."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"The left measure changed by +70 and the right measure by +21, so they moved in the same direction."}]},"what_the_data_actually_shows":"The left measure changed by +70 and the right measure by +21, so they moved ...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"Iris is highest at 147; Oak is lowest at 80."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"inconsistent_bin_widths","explanation":"Numeric intervals of different widths occupy the same number of pixels, so their bar areas are not comparable."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":0,"right_edge":2,"count"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"dual_axes_mismatched_scales","explanation":"Each vertical axis is tightly fitted to its own series, making changes with different magnitudes fill the same plot height."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axes","value":{"left":{"field":"left_value","...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"area_encoding_linear_quantity","explanation":"The symbol radius changes linearly with the quantity, so visible area changes with its square."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"x":12,"y":80,"magnitude":37,"radius_px":12.17...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"cherry_picked_date_range","explanation":"The axis begins at 2018 although source observations begin at 2014, hiding the earlier reversal."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"x_axis","value":{"field":"date","min":"2014","max":"2022","ticks":[{"value":"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"missing_baseline","explanation":"The source contains a target of 85, but no rendered layer shows it for the claimed comparison."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"filled_path","x_field":"date","y_field":"value","values":[{"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"omitted_categories","explanation":"Dune appears in the source data with value 162 but has no rendered mark."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"rectangle","x_field":"category","y_field":"value","values":[{"category":"Northsta...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"nonuniform_tick_spacing","explanation":"Unequal numeric tick intervals occupy equal pixel distances, so the vertical mapping is not linear."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":190,"ticks":[{"value":0.0,"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"From 2015 to 2023, the metric decreased by 2 after reversing within the period."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"From 2017 to 2025, the metric increased by 1 after reversing within the period."}]},"what_the_data_actually_shows":"From 2017 to 2025, the metric increased by 1 after reversing within the period."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The association is positive, with Pearson correlation 0.95; this does not establish causation."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"truncated_y_axis","explanation":"The y minimum is 103.7 while the observed spread is only 15, visually exaggerating the differences."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":160,"ticks":[{"value":0.0,"positio...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"inconsistent_bin_widths","explanation":"Numeric intervals of different widths occupy the same number of pixels, so their bar areas are not comparable."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":1,"right_edge":4,"count":...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"dual_axes_mismatched_scales","explanation":"Each vertical axis is tightly fitted to its own series, making changes with different magnitudes fill the same plot height."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axes","value":{"left":{"field":"left_value",...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"area_encoding_linear_quantity","explanation":"The symbol radius changes linearly with the quantity, so visible area changes with its square."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"category":"Grove","value":38,"radius_px":120},...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"cherry_picked_date_range","explanation":"The axis begins at 2016 although source observations begin at 2012, hiding the earlier reversal."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"x_axis","value":{"field":"date","min":"2012","max":"2020","ticks":[{"value":...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"missing_baseline","explanation":"The source contains a target of 540, but no rendered layer shows it for the claimed comparison."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"path","axis":"left","x_field":"date","y_field":"left_value",...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"omitted_categories","explanation":"Birch appears in the source data with value 27 but has no rendered mark."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"sector","values":[{"category":"Northstar","value":18,"radius_px":120},{"category...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"Vale has the largest share at 34%; Quartz is smallest at 11%."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"The 22 to 24 interval has the largest count (65)."}]},"what_the_data_actually_shows":"The 22 to 24 interval has the largest count (65)."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The left measure changed by +88 and the right measure by +29, so they moved in the same direction."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"nonuniform_tick_spacing","explanation":"Unequal numeric tick intervals occupy equal pixel distances, so the vertical mapping is not linear."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":160,"ticks":[{"value":0.0,"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"truncated_y_axis","explanation":"The y minimum is 1 while the observed spread is only 71, visually exaggerating the differences."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"y","min":0,"max":80,"ticks":[{"value":0.0,"position_px":280}...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"inconsistent_bin_widths","explanation":"Numeric intervals of different widths occupy the same number of pixels, so their bar areas are not comparable."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":5,"right_edge":8,"count"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"dual_axes_mismatched_scales","explanation":"Each vertical axis is tightly fitted to its own series, making changes with different magnitudes fill the same plot height."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axes","value":{"left":{"field":"left_value","...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"area_encoding_linear_quantity","explanation":"The symbol radius changes linearly with the quantity, so visible area changes with its square."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"x":12,"y":83,"magnitude":17,"radius_px":8.25}...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"cherry_picked_date_range","explanation":"The axis begins at 2018 although source observations begin at 2014, hiding the earlier reversal."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"x_axis","value":{"field":"date","min":"2014","max":"2021","ticks":[{"value":"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"missing_baseline","explanation":"The source contains a target of 115, but no rendered layer shows it for the claimed comparison."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"rectangle","x_field":"category","y_field":"value","values":...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"Oak is highest at 148; Harbor is lowest at 106."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"From 2013 to 2021, the metric decreased by 5 after reversing within the period."}]},"what_the_data_actually_shows":"From 2013 to 2021, the metric decreased by 5 after reversing within the period."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"omitted_categories","explanation":"Mesa appears in the source data with value 162 but has no rendered mark."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"rectangle","x_field":"category","y_field":"value","values":[{"category":"Mesa","...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"nonuniform_tick_spacing","explanation":"Unequal numeric tick intervals occupy equal pixel distances, so the vertical mapping is not linear."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":190,"ticks":[{"value":0.0,"p...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"truncated_y_axis","explanation":"The y minimum is 30.6 while the observed spread is only 49, visually exaggerating the differences."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"count","min":0,"max":100,"ticks":[{"value":0.0,"position...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"inconsistent_bin_widths","explanation":"Numeric intervals of different widths occupy the same number of pixels, so their bar areas are not comparable."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":7,"right_edge":11,"count"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"dual_axes_mismatched_scales","explanation":"Each vertical axis is tightly fitted to its own series, making changes with different magnitudes fill the same plot height."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axes","value":{"left":{"field":"left_value",...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"area_encoding_linear_quantity","explanation":"The symbol radius changes linearly with the quantity, so visible area changes with its square."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"category":"Reed","value":17,"radius_px":120},{...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"cherry_picked_date_range","explanation":"The axis begins at 2018 although source observations begin at 2014, hiding the earlier reversal."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"x_axis","value":{"field":"date","min":"2014","max":"2022","ticks":[{"value":...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The association is negative, with Pearson correlation -0.96; this does not establish causation."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"Kite has the largest share at 27%; Mesa is smallest at 11%."}]},"what_the_data_actually_shows":"Kite has the largest share at 27%; Mesa is smallest at 11%."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The 7 to 10 interval has the largest count (71)."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"missing_baseline","explanation":"The source contains a target of 85, but no rendered layer shows it for the claimed comparison."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"path","x_field":"date","y_field":"value","values":[{"date":"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"omitted_categories","explanation":"Reed appears in the source data with value 29 but has no rendered mark."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"sector","values":[{"category":"Mesa","value":24,"radius_px":120},{"category":"Reed...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"nonuniform_tick_spacing","explanation":"Unequal numeric tick intervals occupy equal pixel distances, so the vertical mapping is not linear."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"y","min":0,"max":160,"ticks":[{"value":0.0,"posi...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"truncated_y_axis","explanation":"The y minimum is 59.5 while the observed spread is only 59, visually exaggerating the differences."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":160,"ticks":[{"value":0.0,"position_...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"inconsistent_bin_widths","explanation":"Numeric intervals of different widths occupy the same number of pixels, so their bar areas are not comparable."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":1,"right_edge":4,"count"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"dual_axes_mismatched_scales","explanation":"Each vertical axis is tightly fitted to its own series, making changes with different magnitudes fill the same plot height."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axes","value":{"left":{"field":"left_value","...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"area_encoding_linear_quantity","explanation":"The symbol radius changes linearly with the quantity, so visible area changes with its square."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"x":9,"y":77,"magnitude":16,"radius_px":8.0},{...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The left measure changed by +50 and the right measure by +6, so they moved in the same direction."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"Summit is highest at 171; Dune is lowest at 56."}]},"what_the_data_actually_shows":"Summit is highest at 171; Dune is lowest at 56."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"From 2015 to 2023, the metric increased by 1 after reversing within the period."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"cherry_picked_date_range","explanation":"The axis begins at 2022 although source observations begin at 2018, hiding the earlier reversal."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"x_axis","value":{"field":"date","min":"2018","max":"2026","ticks":[{"value":...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"missing_baseline","explanation":"The source contains a target of 95, but no rendered layer shows it for the claimed comparison."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"filled_path","x_field":"date","y_field":"value","values":[{"d...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"omitted_categories","explanation":"Reed appears in the source data with value 136 but has no rendered mark."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"rectangle","x_field":"category","y_field":"value","values":[{"category":"Alder",...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"nonuniform_tick_spacing","explanation":"Unequal numeric tick intervals occupy equal pixel distances, so the vertical mapping is not linear."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"count","min":0,"max":100,"ticks":[{"value":0.0,"p...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"truncated_y_axis","explanation":"The y minimum is 110.5 while the observed spread is only 20, visually exaggerating the differences."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":170,"ticks":[{"value":0.0,"positio...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"inconsistent_bin_widths","explanation":"Numeric intervals of different widths occupy the same number of pixels, so their bar areas are not comparable."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":0,"right_edge":3,"count":...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"dual_axes_mismatched_scales","explanation":"Each vertical axis is tightly fitted to its own series, making changes with different magnitudes fill the same plot height."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axes","value":{"left":{"field":"left_value",...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"From 2010 to 2018, the metric increased by 3 after reversing within the period."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"The association is positive, with Pearson correlation 0.96; this does not establish causation."}]},"what_the_data_actually_shows":"The association is positive, with Pearson correlation 0.96; this does not establ...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"Elm has the largest share at 24%; Kite is smallest at 16%."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"area_encoding_linear_quantity","explanation":"The symbol radius changes linearly with the quantity, so visible area changes with its square."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"category":"Quartz","value":10,"radius_px":120...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"cherry_picked_date_range","explanation":"The axis begins at 2013 although source observations begin at 2009, hiding the earlier reversal."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"x_axis","value":{"field":"date","min":"2009","max":"2016","ticks":[{"value":"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"missing_baseline","explanation":"The source contains a target of 520, but no rendered layer shows it for the claimed comparison."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"path","axis":"left","x_field":"date","y_field":"left_value"...
dv_misleading_charts
cc0-1.0
Original (this work)