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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":"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":"Linden appears in the source data with value 167 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":"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":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":180,"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":"Summit is highest at 161; Dune is lowest at 70."}
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 decreased by 5 after reversing within the period."}]},"what_the_data_actually_shows":"From 2017 to 2025, 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":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"From 2008 to 2016, 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":"truncated_y_axis","explanation":"The y minimum is 124.95 while the observed spread is only 35, visually exaggerating the differences."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":210,"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":[{"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":2,"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":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":"Iris","value":23,"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 2012 although source observations begin at 2008, hiding the earlier reversal."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"x_axis","value":{"field":"date","min":"2008","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 85, 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":"2...
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 28 but has no rendered mark."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"sector","values":[{"category":"Summit","value":17,"radius_px":120},{"category":"A...
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 0.98; 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":"Dune has the largest share at 30%; Iris is smallest at 10%."}]},"what_the_data_actually_shows":"Dune has the largest share at 30%; Iris 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":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The 7 to 11 interval has the largest count (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":"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":170,"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 67.15 while the observed spread is only 17, visually exaggerating the differences."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","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":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":3,"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":6,"y":71,"magnitude":20,"radius_px":8.94},...
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 120, 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":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The left measure changed by +12 and the right measure by +30, 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":"Tide is highest at 133; Harbor is lowest at 58."}]},"what_the_data_actually_shows":"Tide is highest at 133; Harbor is lowest at 58."}
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 2009 to 2017, 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":[{"mechanism":"omitted_categories","explanation":"Dune appears in the source data with value 170 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":"Summit"...
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 53.55 while the observed spread is only 99, visually exaggerating the differences."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"y","min":0,"max":180,"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":true,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":4,"right_edge":5,"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":"Iris","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 2017 although source observations begin at 2013, hiding the earlier reversal."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"x_axis","value":{"field":"date","min":"2013","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":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"From 2011 to 2019, the metric decreased 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":"Quartz has the largest share at 27%; Pine is smallest at 12%."}
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 530, 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)
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":"Summit appears in the source data with value 33 but has no rendered mark."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"sector","values":[{"category":"Grove","value":21,"radius_px":120},{"category":"Q...
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_axes.left","value":{"field":"left_value","min":0,"max":590,"ticks":[{"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":"truncated_y_axis","explanation":"The y minimum is 27.2 while the observed spread is only 61, visually exaggerating the differences."}],"claim_supported":true,"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":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":1,"right_edge":5,"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":7,"y":102,"magnitude":48,"radius_px":13.86...
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 11 to 16 interval has the largest count (85)."}
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 +176 and the right measure by +24, so they moved in the same direction."}]},"what_the_data_actually_shows":"The left measure changed by +176 and the right measure by +24, so they move...
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":"Cedar is highest at 153; Summit is lowest at 96."}
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 100, but no rendered layer shows it for the claimed comparison."}],"claim_supported":true,"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":"Elm appears in the source data with value 166 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":"Reed","v...
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 49.3 while the observed spread is only 65, visually exaggerating the differences."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":150,"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":6,"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 2016 to 2024, the metric increased 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 2018 to 2026, the metric increased by 5 after reversing within the period."}]},"what_the_data_actually_shows":"From 2018 to 2026, the metric increased 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":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The association is positive, with Pearson correlation 0.90; 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":"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":"Mesa","value":14,"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 2017 although source observations begin at 2013, hiding the earlier reversal."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"x_axis","value":{"field":"date","min":"2013","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 125, 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":"Summit appears in the source data with value 27 but has no rendered mark."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"sector","values":[{"category":"Summit","value":27,"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":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":140,"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 120.7 while the observed spread is only 14, visually exaggerating the differences."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":180,"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":2,"right_edge":7,"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":"Flint has the largest share at 28%; Linden 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":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"The 11 to 12 interval has the largest count (79)."}]},"what_the_data_actually_shows":"The 11 to 12 interval has the largest count (79)."}
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 +13 and the right measure by +24, 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":"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":[{"x":9,"y":101,"magnitude":52,"radius_px":14.42}...
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":"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 140, 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":[{"...
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 138 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":"Summi...
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":170,"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 111.35 while the observed spread is only 26, visually exaggerating the differences."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":180,"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":"Pine is highest at 175; Flint is lowest at 92."}
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 2012 to 2020, the metric increased by 3 after reversing within the period."}]},"what_the_data_actually_shows":"From 2012 to 2020, 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":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"From 2008 to 2016, 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":[{"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":2,"right_edge":6,"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":"Summit","value":21,"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 2014 although source observations begin at 2010, hiding the earlier reversal."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"x_axis","value":{"field":"date","min":"2010","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 510, 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)
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":"Summit appears in the source data with value 28 but has no rendered mark."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"sector","values":[{"category":"Summit","value":28,"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":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"y","min":0,"max":180,"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":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The association is negative, 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":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"Summit has the largest share at 27%; Harbor is smallest at 13%."}]},"what_the_data_actually_shows":"Summit has the largest share at 27%; Harbor is smallest at 13%."}
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 6 to 11 interval has the largest count (67)."}
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 60.35 while the observed spread is only 73, visually exaggerating the differences."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"y","min":0,"max":160,"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":true,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":4,"right_edge":5,"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":[{"x":9,"y":58,"magnitude":53,"radius_px":14.56},...
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 2020 although source observations begin at 2016, hiding the earlier reversal."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"x_axis","value":{"field":"date","min":"2016","max":"2024","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":true,"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":"Cedar appears in the source data with value 166 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":"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":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The left measure changed by +6 and the right measure by +19, 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":"Northstar is highest at 162; Flint is lowest at 75."}]},"what_the_data_actually_shows":"Northstar is highest at 162; Flint is lowest at 75."}
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 2017 to 2025, the metric increased by 4 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":"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":90,"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 23.8 while the observed spread is only 36, visually exaggerating the differences."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"count","min":0,"max":80,"ticks":[{"value":0.0,"position_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":"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":1,"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)