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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":"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":"Dune","value":18,"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":"2017","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":"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":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"From 2016 to 2024, 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":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"The association is positive, with Pearson correlation 0.94; this does not establish causation."}]},"what_the_data_actually_shows":"The association is positive, with Pearson correlation 0.94; 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":"Oak has the largest share at 25%; Yarrow is smallest at 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":"omitted_categories","explanation":"Birch appears in the source data with value 36 but has no rendered mark."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"sector","values":[{"category":"Yarrow","value":12,"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":640,"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 56.1 while the observed spread is only 86, 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,"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":4,"right_edge":10,"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":15,"y":70,"magnitude":28,"radius_px":10.58}...
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":[{"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":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The 9 to 15 interval has the largest count (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":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"The left measure changed by +59 and the right measure by +13, so they moved in the same direction."}]},"what_the_data_actually_shows":"The left measure changed by +59 and the right measure by +13, 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":"Vale is highest at 166; Birch is lowest at 59."}
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":"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":"Oak appears in the source data with value 164 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":"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":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":150,"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 122.4 while the observed spread is only 40, visually exaggerating the differences."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":210,"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":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":"Pine","value":22,"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":"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 2015 to 2023, the metric decreased by 1 after reversing within the period."}]},"what_the_data_actually_shows":"From 2015 to 2023, the metric decreased 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 negative, with Pearson correlation -0.92; 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":"cherry_picked_date_range","explanation":"The axis begins at 2014 although source observations begin at 2010, hiding the earlier reversal."}],"claim_supported":false,"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":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":"Cedar 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":"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":[{"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":140,"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 73.95 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":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":6,"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":[{"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":"Umber has the largest share at 29%; Reed is smallest at 9%."}
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 19 to 23 interval has the largest count (74)."}]},"what_the_data_actually_shows":"The 19 to 23 interval has the largest count (74)."}
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 -35 and the right measure by -2, 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":"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":20,"y":43,"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 2020 although source observations begin at 2016, hiding the earlier reversal."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"x_axis","value":{"field":"date","min":"2016","max":"2023","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":"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 174 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":"Yarrow"...
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":[{"mechanism":"truncated_y_axis","explanation":"The y minimum is 1 while the observed spread is only 105, visually exaggerating the differences."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"y","min":0,"max":120,"ticks":[{"value":0.0,"position_px":28...
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":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":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"Grove is highest at 149; Harbor is lowest at 76."}
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 increased by 3 after reversing within the period."}]},"what_the_data_actually_shows":"From 2013 to 2021, 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 2010 to 2018, 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":"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":"Umber","value":31,"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 120, 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":"Tide appears in the source data with value 30 but has no rendered mark."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"sector","values":[{"category":"Alder","value":21,"radius_px":120},{"category":"Ha...
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":80,"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":"truncated_y_axis","explanation":"The y minimum is 15.3 while the observed spread is only 60, visually exaggerating the differences."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"count","min":0,"max":90,"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":[],"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":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"Willow has the largest share at 27%; Kite is smallest at 13%."}]},"what_the_data_actually_shows":"Willow has the largest share at 27%; Kite 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 9 to 15 interval has the largest count (81)."}
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":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":[{"x":25,"y":69,"magnitude":24,"radius_px":9.8},...
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 80, 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":"Harbor appears in the source data with value 174 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":"Norths...
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":100,"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":"The left measure changed by -26 and the right measure by +9, so they moved in opposite directions."}
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 is highest at 172; Umber is lowest at 95."}]},"what_the_data_actually_shows":"Cedar is highest at 172; Umber is lowest at 95."}
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 2012 to 2020, 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":"truncated_y_axis","explanation":"The y minimum is 70.55 while the observed spread is only 70, 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":7,"right_edge":13,"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":"Linden","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 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 490, 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":"Vale appears in the source data with value 24 but has no rendered mark."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"sector","values":[{"category":"Harbor","value":16,"radius_px":120},{"category":"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":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"From 2010 to 2018, 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":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"The association is positive, with Pearson correlation 0.95; this does not establish causation."}]},"what_the_data_actually_shows":"The association is positive, with Pearson correlation 0.95; 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":"Cedar has the largest share at 34%; Grove is smallest at 9%."}
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":640,"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 99.45 while the observed spread is only 32, visually exaggerating the differences."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":170,"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":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":13,"y":72,"magnitude":24,"radius_px":9.8},...
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":true,"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 135, 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":"The 13 to 17 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 +103 and the right measure by +11, so they moved in the same direction."}]},"what_the_data_actually_shows":"The left measure changed by +103 and the right measure by +11, 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":"Summit is highest at 171; Elm 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":"omitted_categories","explanation":"Alder appears in the source data with value 124 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":"Elm","...
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 87.55 while the observed spread is only 16, visually exaggerating the differences."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":140,"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":[{"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":"Tide","value":31,"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 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":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"From 2009 to 2017, 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 2010 to 2018, the metric increased by 6 after reversing within the period."}]},"what_the_data_actually_shows":"From 2010 to 2018, the metric increased by 6 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 negative, 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":[{"mechanism":"missing_baseline","explanation":"The source contains a target of 95, 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":"Cedar 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":"Dune","value":18,"radius_px":120},{"category":"Sum...
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":[{"mechanism":"truncated_y_axis","explanation":"The y minimum is 54.4 while the observed spread is only 86, 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)