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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":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The left measure changed by +51 and the right measure by +15, so they moved in the same direction."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"Iris is highest at 155; Oak is lowest at 64."}]},"what_the_data_actually_shows":"Iris is highest at 155; Oak is lowest at 64."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"From 2015 to 2023, the metric decreased by 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":"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":"Cedar","value":10,"radius_px":120},...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"cherry_picked_date_range","explanation":"The axis begins at 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":"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 400, but no rendered layer shows it for the claimed comparison."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"path","axis":"left","x_field":"date","y_field":"left_value",...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"omitted_categories","explanation":"Kite appears in the source data with value 26 but has no rendered mark."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"sector","values":[{"category":"Kite","value":26,"radius_px":120},{"category":"Pin...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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":680,"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 61.2 while the observed spread is only 74, visually exaggerating the differences."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"y","min":0,"max":170,"ticks":[{"value":0.0,"position_px"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"From 2015 to 2023, the metric increased by 1 after reversing within the period."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"The association is negative, with Pearson correlation -0.95; this does not establish causation."}]},"what_the_data_actually_shows":"The association is negative, with Pearson correlation -0.95; this does not esta...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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":"Linden has the largest share at 27%; Oak is smallest at 11%."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"inconsistent_bin_widths","explanation":"Numeric intervals of different widths occupy the same number of pixels, so their bar areas are not comparable."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":8,"right_edge":11,"count...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"dual_axes_mismatched_scales","explanation":"Each vertical axis is tightly fitted to its own series, making changes with different magnitudes fill the same plot height."}],"claim_supported":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":14,"y":59,"magnitude":11,"radius_px":6.63}...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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 100, 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":"Umber appears in the source data with value 175 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":"Northst...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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":"The 11 to 15 interval has the largest count (89)."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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 +29 and the right measure by +17, so they moved in the same direction."}]},"what_the_data_actually_shows":"The left measure changed by +29 and the right measure by +17, 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":"Birch is highest at 175; Harbor is lowest at 62."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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 19.55 while the observed spread is only 35, visually exaggerating the differences."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"count","min":0,"max":70,"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":0,"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":[{"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":"Kite","value":26,"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 100, 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":"Pine appears in the source data with value 33 but has no rendered mark."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"sector","values":[{"category":"Mesa","value":14,"radius_px":120},{"category":"Dun...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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":[],"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 negative, with Pearson correlation -0.93; 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":"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":130,"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 46.75 while the observed spread is only 106, 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,"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":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":5,"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":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":72,"magnitude":22,"radius_px":9.38},...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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 135, 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":"Linden has the largest share at 29%; 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":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"The 9 to 11 interval has the largest count (80)."}]},"what_the_data_actually_shows":"The 9 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":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The left measure changed by +62 and the right measure by +27, 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":"omitted_categories","explanation":"Vale appears in the source data with value 126 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":"Northst...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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 78.2 while the observed spread is only 19, 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,"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":6,"right_edge":11,"count"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"dual_axes_mismatched_scales","explanation":"Each vertical axis is tightly fitted to its own series, making changes with different magnitudes fill the same plot height."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axes","value":{"left":{"field":"left_value",...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"area_encoding_linear_quantity","explanation":"The symbol radius changes linearly with the quantity, so visible area changes with its square."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"category":"Vale","value":9,"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 2019 although source observations begin at 2015, hiding the earlier reversal."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"x_axis","value":{"field":"date","min":"2015","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":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"Northstar is highest at 171; Harbor is lowest at 55."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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 2008 to 2016, the metric decreased by 1 after reversing within the period."}]},"what_the_data_actually_shows":"From 2008 to 2016, 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":"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":"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":"Dune appears in the source data with value 35 but has no rendered mark."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"sector","values":[{"category":"Alder","value":21,"radius_px":120},{"category":"Har...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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":120,"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 101.15 while the observed spread is only 12, visually exaggerating the differences."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":150,"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":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":2,"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":6,"y":85,"magnitude":39,"radius_px":12.49}...
dv_misleading_charts
cc0-1.0
Original (this work)