prompt
stringlengths
1.2k
3.29k
completion
stringlengths
151
1.76k
shard
stringclasses
1 value
license
stringclasses
1 value
source
stringclasses
1 value
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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 is highest at 131; Kite is lowest at 61."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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 2014 to 2022, the metric decreased by 4 after reversing within the period."}]},"what_the_data_actually_shows":"From 2014 to 2022, the metric decreased by 4 after reversing within the period."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"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":[{"mechanism":"truncated_y_axis","explanation":"The y minimum is 59.5 while the observed spread is only 93, visually exaggerating the differences."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":180,"ticks":[{"value":0.0,"position...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"inconsistent_bin_widths","explanation":"Numeric intervals of different widths occupy the same number of pixels, so their bar areas are not comparable."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":7,"right_edge":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":[{"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":19,"y":69,"magnitude":12,"radius_px":6.93},...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"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 95, but no rendered layer shows it for the claimed comparison."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"rectangle","x_field":"category","y_field":"value","values":[{...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"omitted_categories","explanation":"Mesa appears in the source data with value 154 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":"Umber",...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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 -0.97; 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":"Oak has the largest share at 25%; Cedar is smallest at 10%."}]},"what_the_data_actually_shows":"Oak has the largest share at 25%; Cedar is smallest at 10%."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The 16 to 19 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":[{"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":200,"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 60.35 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":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":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":0,"right_edge":1,"count"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"dual_axes_mismatched_scales","explanation":"Each vertical axis is tightly fitted to its own series, making changes with different magnitudes fill the same plot height."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axes","value":{"left":{"field":"left_value","...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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":"Northstar","value":16,"radius_px":...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"cherry_picked_date_range","explanation":"The axis begins at 2022 although source observations begin at 2018, hiding the earlier reversal."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"x_axis","value":{"field":"date","min":"2018","max":"2026","ticks":[{"value":"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"missing_baseline","explanation":"The source contains a target of 70, 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":"The left measure changed by +2 and the right measure by +10, 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":"Juniper is highest at 161; Umber is lowest at 56."}]},"what_the_data_actually_shows":"Juniper is highest at 161; Umber is lowest at 56."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"From 2010 to 2018, 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":[{"mechanism":"omitted_categories","explanation":"Summit appears in the source data with value 31 but has no rendered mark."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"sector","values":[{"category":"Umber","value":23,"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":160,"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 93.5 while the observed spread is only 29, 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,"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":5,"count":...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"dual_axes_mismatched_scales","explanation":"Each vertical axis is tightly fitted to its own series, making changes with different magnitudes fill the same plot height."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axes","value":{"left":{"field":"left_value",...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"area_encoding_linear_quantity","explanation":"The symbol radius changes linearly with the quantity, so visible area changes with its square."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"x":11,"y":78,"magnitude":42,"radius_px":12.96}...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"cherry_picked_date_range","explanation":"The axis begins at 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":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"From 2016 to 2024, 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":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"The association is positive, with Pearson correlation 0.96; this does not establish causation."}]},"what_the_data_actually_shows":"The association is positive, with Pearson correlation 0.96; this does not establ...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"Elm has the largest share at 32%; Dune 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":"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":"Kite 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":"Kite","v...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"nonuniform_tick_spacing","explanation":"Unequal numeric tick intervals occupy equal pixel distances, so the vertical mapping is not linear."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":120,"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 56.95 while the observed spread is only 88, visually exaggerating the differences."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"y","min":0,"max":180,"ticks":[{"value":0.0,"position_px"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"inconsistent_bin_widths","explanation":"Numeric intervals of different widths occupy the same number of pixels, so their bar areas are not comparable."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":7,"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":[{"category":"Elm","value":35,"radius_px":120},{...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The 8 to 13 interval has the largest count (83)."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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 +17 and the right measure by +3, so they moved in the same direction."}]},"what_the_data_actually_shows":"The left measure changed by +17 and the right measure by +3, so they moved in...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"Pine is highest at 140; Juniper is lowest at 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 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":"2019","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 430, 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":"Linden appears in the source data with value 34 but has no rendered mark."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"sector","values":[{"category":"Linden","value":34,"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":"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 31.45 while the observed spread is only 53, visually exaggerating the differences."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"count","min":0,"max":100,"ticks":[{"value":0.0,"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":2,"right_edge":5,"count":...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"dual_axes_mismatched_scales","explanation":"Each vertical axis is tightly fitted to its own series, making changes with different magnitudes fill the same plot height."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axes","value":{"left":{"field":"left_value",...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"From 2009 to 2017, the metric decreased by 3 after reversing within the period."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"From 2014 to 2022, the metric increased by 1 after reversing within the period."}]},"what_the_data_actually_shows":"From 2014 to 2022, the metric increased by 1 after reversing within the period."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The association is positive, with Pearson correlation 0.96; this does not establish causation."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"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":5,"y":64,"magnitude":32,"radius_px":11.31}...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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":"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":"Kite appears in the source data with value 160 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":"Pine","v...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"nonuniform_tick_spacing","explanation":"Unequal numeric tick intervals occupy equal pixel distances, so the vertical mapping is not linear."}],"claim_supported":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":[{"mechanism":"truncated_y_axis","explanation":"The y minimum is 50.15 while the observed spread is only 72, visually exaggerating the differences."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":160,"ticks":[{"value":0.0,"position...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"inconsistent_bin_widths","explanation":"Numeric intervals of different widths occupy the same number of pixels, so their bar areas are not comparable."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":7,"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":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"Tide has the largest share at 24%; Linden is smallest at 12%."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"The 19 to 20 interval has the largest count (90)."}]},"what_the_data_actually_shows":"The 19 to 20 interval has the largest count (90)."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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 +124 and the right measure by +17, so they moved in the same direction."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"dual_axes_mismatched_scales","explanation":"Each vertical axis is tightly fitted to its own series, making changes with different magnitudes fill the same plot height."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axes","value":{"left":{"field":"left_value",...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"area_encoding_linear_quantity","explanation":"The symbol radius changes linearly with the quantity, so visible area changes with its square."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"category":"Oak","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":[{"mechanism":"cherry_picked_date_range","explanation":"The axis begins at 2017 although source observations begin at 2013, hiding the earlier reversal."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"x_axis","value":{"field":"date","min":"2013","max":"2020","ticks":[{"value":...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"missing_baseline","explanation":"The source contains a target of 110, 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":"Vale 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":"Summit","value":12,"radius_px":120},{"category":"C...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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":610,"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 89.25 while the observed spread is only 34, 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":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"Dune is highest at 149; Cedar 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":false,"corrected_spec":{"changes":[{"op":"set","path":"caption","value":"From 2012 to 2020, the metric decreased by 6 after reversing within the period."}]},"what_the_data_actually_shows":"From 2012 to 2020, the metric decreased 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":"From 2012 to 2020, the metric decreased by 2 after reversing within the period."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"inconsistent_bin_widths","explanation":"Numeric intervals of different widths occupy the same number of pixels, so their bar areas are not comparable."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":5,"right_edge":8,"count"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"dual_axes_mismatched_scales","explanation":"Each vertical axis is tightly fitted to its own series, making changes with different magnitudes fill the same plot height."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axes","value":{"left":{"field":"left_value","...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"area_encoding_linear_quantity","explanation":"The symbol radius changes linearly with the quantity, so visible area changes with its square."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"x":18,"y":67,"magnitude":44,"radius_px":13.27...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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":"2024","ticks":[{"value":"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"missing_baseline","explanation":"The source contains a target of 115, 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":"Quartz appears in the source data with value 98 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":"Quartz"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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":200,"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 association is negative, with Pearson correlation -0.91; 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":"Oak has the largest share at 22%; Northstar is smallest at 19%."}]},"what_the_data_actually_shows":"Oak has the largest share at 22%; Northstar is smallest at 19%."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (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 12 to 16 interval has the largest count (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":[{"mechanism":"truncated_y_axis","explanation":"The y minimum is 127.5 while the observed spread is only 23, visually exaggerating the differences."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":200,"ticks":[{"value":0.0,"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":2,"right_edge":7,"count":...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"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":"Pine","value":17,"radius_px":120},{...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"cherry_picked_date_range","explanation":"The axis begins at 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":[{"mechanism":"missing_baseline","explanation":"The source contains a target of 460, 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":"Quartz appears in the source data with value 29 but has no rendered mark."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers","value":[{"mark":"sector","values":[{"category":"Linden","value":20,"radius_px":120},{"category":...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"The left measure changed by +123 and the right measure by -4, 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":"Northstar is highest at 160; Umber is lowest at 61."}]},"what_the_data_actually_shows":"Northstar is highest at 160; Umber is lowest at 61."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[],"claim_supported":true,"corrected_spec":{"changes":[]},"what_the_data_actually_shows":"From 2011 to 2019, the metric increased by 3 after reversing within the period."}
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"nonuniform_tick_spacing","explanation":"Unequal numeric tick intervals occupy equal pixel distances, so the vertical mapping is not linear."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"value","min":0,"max":160,"ticks":[{"value":0.0,"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"truncated_y_axis","explanation":"The y minimum is 53.55 while the observed spread is only 90, visually exaggerating the differences."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axis","value":{"field":"y","min":0,"max":170,"ticks":[{"value":0.0,"position_px"...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"inconsistent_bin_widths","explanation":"Numeric intervals of different widths occupy the same number of pixels, so their bar areas are not comparable."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"left_edge":8,"right_edge":14,"count...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"dual_axes_mismatched_scales","explanation":"Each vertical axis is tightly fitted to its own series, making changes with different magnitudes fill the same plot height."}],"claim_supported":true,"corrected_spec":{"changes":[{"op":"set","path":"y_axes","value":{"left":{"field":"left_value","...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"area_encoding_linear_quantity","explanation":"The symbol radius changes linearly with the quantity, so visible area changes with its square."}],"claim_supported":false,"corrected_spec":{"changes":[{"op":"set","path":"layers.0.values","value":[{"x":12,"y":57,"magnitude":26,"radius_px":10.2}...
dv_misleading_charts
cc0-1.0
Original (this work)
You are a data-visualization integrity auditor. Audit the serialized chart specification and its caption/claim. Return strict JSON with exactly four fields: distortions (each with mechanism and explanation), claim_supported (boolean), corrected_spec (the minimal path-level changes needed to make the chart and caption h...
{"distortions":[{"mechanism":"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 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)