Datasets:

Dodon
/

ChartQA_dataset

Name: ChartQA_dataset
Creator: Dongyoun Kim
License: https://choosealicense.com/licenses/gpl-3.0/

Tasks:

Visual Question Answering

Languages: English

Size Categories: 10K<n<100K

License: gpl-3.0

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imgname string	human bool	query string	query_token sequence	label string	table_name string	table string	img_ann string
"two_col_103562.png"	true	"As of 2021, how many championship titles had Ferrari won?"	[]	"16"	"two_col_103562.csv"	"{'Characteristic': {0: 'Ferrari', 1: 'Williams', 2: 'McLaren', 3: 'Lotus', 4: 'Mercedes Benz', 5: 'Red Bull Racing', 6: 'Brabham', 7: 'Cooper', 8: 'Renault', 9: 'Benetton', 10: 'Brawn', 11: 'BRM', 12: 'Matra', 13: 'Tyrrell', 14: 'Vanwall'}, 'Number of world titles': {0: 16, 1: 9, 2: 8, 3: 7, 4: 7, 5: 4, 6: 2, 7: 2, 8: 2, 9: 1, 10: 1, 11: 1, 12: 1, 13: 1, 14: 1}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 130, 'y': 35, 'w': 580, 'h': 600}}, 'y_axis': {'label': {'bbox': [{'x': 372, 'y': 666, 'w': 96.703125, 'h': 11}], 'text': 'Number of world titles'}, 'major_labels': {'bboxes': [{'x': 109.5, 'y': 641, 'w': 38.0, 'h': 26.0}, {'x': 173.5, 'y': 641, 'w': 38.0, 'h': 26.0}, {'x': 238.5, 'y': 641, 'w': 38.0, 'h': 26.0}, {'x': 302.5, 'y': 641, 'w': 38.0, 'h': 26.0}, {'x': 367.5, 'y': 641, 'w': 38.0, 'h': 26.0}, {'x': 431.5, 'y': 641, 'w': 38.0, 'h': 26.0}, {'x': 496.5, 'y': 641, 'w': 38.0, 'h': 26.0}, {'x': 560.5, 'y': 641, 'w': 38.0, 'h': 26.0}, {'x': 625.5, 'y': 641, 'w': 38.0, 'h': 26.0}, {'x': 690.5, 'y': 641, 'w': 38.0, 'h': 26.0}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 85, 'y': 49, 'h': 12, 'w': 32.390625}, {'x': 76, 'y': 89, 'h': 12, 'w': 41.4384765625}, {'x': 74, 'y': 129, 'h': 12, 'w': 42.796875}, {'x': 90, 'y': 169, 'h': 12, 'w': 27.4091796875}, {'x': 41, 'y': 209, 'h': 12, 'w': 76.4375}, {'x': 38, 'y': 249, 'h': 12, 'w': 78.875}, {'x': 72, 'y': 289, 'h': 12, 'w': 44.640625}, {'x': 81, 'y': 329, 'h': 12, 'w': 36.41455078125}, {'x': 79, 'y': 369, 'h': 12, 'w': 37.921875}, {'x': 73, 'y': 409, 'h': 12, 'w': 44.046875}, {'x': 86, 'y': 449, 'h': 12, 'w': 31.1875}, {'x': 93, 'y': 489, 'h': 12, 'w': 24.453125}, {'x': 89, 'y': 529, 'h': 12, 'w': 29}, {'x': 87, 'y': 569, 'h': 12, 'w': 29.953125}, {'x': 79, 'y': 609, 'h': 12, 'w': 37.71875}], 'values': ['Ferrari', 'Williams', 'McLaren', 'Lotus', 'Mercedes Benz', 'Red Bull Racing', 'Brabham', 'Cooper', 'Renault', 'Benetton', 'Brawn', 'BRM', 'Matra', 'Tyrrell', 'Vanwall']}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 129, 'y': 41, 'w': 516, 'h': 28}, {'x': 129, 'y': 81, 'w': 290, 'h': 28}, {'x': 129, 'y': 121, 'w': 258, 'h': 28}, {'x': 129, 'y': 161, 'w': 226, 'h': 28}, {'x': 129, 'y': 201, 'w': 226, 'h': 28}, {'x': 129, 'y': 241, 'w': 129, 'h': 28}, {'x': 129, 'y': 281, 'w': 64, 'h': 28}, {'x': 129, 'y': 321, 'w': 64, 'h': 28}, {'x': 129, 'y': 361, 'w': 64, 'h': 28}, {'x': 129, 'y': 401, 'w': 32, 'h': 28}, {'x': 129, 'y': 441, 'w': 32, 'h': 28}, {'x': 129, 'y': 481, 'w': 32, 'h': 28}, {'x': 129, 'y': 521, 'w': 32, 'h': 28}, {'x': 129, 'y': 561, 'w': 32, 'h': 28}, {'x': 129, 'y': 601, 'w': 32, 'h': 28}], 'x': ['Ferrari', 'Williams', 'McLaren', 'Lotus', 'Mercedes Benz', 'Red Bull Racing', 'Brabham', 'Cooper', 'Renault', 'Benetton', 'Brawn', 'BRM', 'Matra', 'Tyrrell', 'Vanwall'], 'y': ['16', '9', '8', '7', '7', '4', '2', '2', '2', '1', '1', '1', '1', '1', '1'], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['Ferrari', 'Williams', 'McLaren', 'Lotus', 'Mercedes Benz', 'Red Bull Racing', 'Brabham', 'Cooper', 'Renault', 'Benetton', 'Brawn', 'BRM', 'Matra', 'Tyrrell', 'Vanwall']}], 'type': 'h_bar'}"
"two_col_2954.png"	true	"What game topped the charts with 512.3 million hours watched on Twitch in the first half of 2019?"	[]	"League of Legends"	"two_col_2954.csv"	"{'Characteristic': {0: 'League of Legends', 1: 'Fortnite', 2: 'Just Chatting', 3: 'Grand Theft Auto V', 4: 'Dota 2', 5: 'Apex Legends', 6: 'Counter-Strike: Global Offensive', 7: 'Overwatch', 8: 'Hearthstone', 9: 'World of Warcraft'}, 'Number of hours watched': {0: 512.3, 1: 465.0, 2: 372.5, 3: 269.1, 4: 237.1, 5: 181.4, 6: 178.0, 7: 127.3, 8: 120.7, 9: 118.5}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 222, 'y': 35, 'w': 488, 'h': 380}}, 'y_axis': {'label': {'bbox': [{'x': 409, 'y': 446, 'w': 114.515625, 'h': 11}], 'text': 'Number of hours watched'}, 'major_labels': {'bboxes': [{'x': 201.5, 'y': 421, 'w': 49.71428571428571, 'h': 26.0}, {'x': 282.5, 'y': 421, 'w': 49.71428571428571, 'h': 26.0}, {'x': 364.5, 'y': 421, 'w': 49.71428571428571, 'h': 26.0}, {'x': 445.5, 'y': 421, 'w': 49.71428571428571, 'h': 26.0}, {'x': 526.5, 'y': 421, 'w': 49.71428571428571, 'h': 26.0}, {'x': 608.5, 'y': 421, 'w': 49.71428571428571, 'h': 26.0}, {'x': 690.5, 'y': 421, 'w': 49.71428571428571, 'h': 26.0}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 115, 'y': 48, 'h': 12, 'w': 94.6982421875}, {'x': 172, 'y': 86, 'h': 12, 'w': 37.296875}, {'x': 145, 'y': 124, 'h': 12, 'w': 64.203125}, {'x': 115, 'y': 162, 'h': 12, 'w': 94.63037109375}, {'x': 177, 'y': 200, 'h': 12, 'w': 32.421875}, {'x': 139, 'y': 238, 'h': 12, 'w': 70.83447265625}, {'x': 51, 'y': 276, 'h': 12, 'w': 158.15625}, {'x': 156, 'y': 314, 'h': 12, 'w': 52.578125}, {'x': 149, 'y': 352, 'h': 12, 'w': 59.9375}, {'x': 124, 'y': 390, 'h': 12, 'w': 84.96875}], 'values': ['League of Legends', 'Fortnite', 'Just Chatting', 'Grand Theft Auto V', 'Dota 2', 'Apex Legends', 'Counter-Strike: Global Offensive', 'Overwatch', 'Hearthstone', 'World of Warcraft']}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 221, 'y': 41, 'w': 417, 'h': 26}, {'x': 221, 'y': 79, 'w': 378, 'h': 26}, {'x': 221, 'y': 117, 'w': 303, 'h': 26}, {'x': 221, 'y': 155, 'w': 219, 'h': 26}, {'x': 221, 'y': 193, 'w': 193, 'h': 26}, {'x': 221, 'y': 231, 'w': 148, 'h': 26}, {'x': 221, 'y': 269, 'w': 145, 'h': 26}, {'x': 221, 'y': 307, 'w': 104, 'h': 26}, {'x': 221, 'y': 345, 'w': 98, 'h': 26}, {'x': 221, 'y': 383, 'w': 96, 'h': 26}], 'x': ['League of Legends', 'Fortnite', 'Just Chatting', 'Grand Theft Auto V', 'Dota 2', 'Apex Legends', 'Counter-Strike: Global Offensive', 'Overwatch', 'Hearthstone', 'World of Warcraft'], 'y': ['512.3', '465', '372.5', '269.1', '237.1', '181.4', '178', '127.3', '120.7', '118.5'], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['League of Legends', 'Fortnite', 'Just Chatting', 'Grand Theft Auto V', 'Dota 2', 'Apex Legends', 'Counter-Strike: Global Offensive', 'Overwatch', 'Hearthstone', 'World of Warcraft']}], 'type': 'h_bar'}"
"two_col_2954.png"	true	"How many hours did League of Legends watch on Twitch in the first half of 2019?"	[]	"512.3"	"two_col_2954.csv"	"{'Characteristic': {0: 'League of Legends', 1: 'Fortnite', 2: 'Just Chatting', 3: 'Grand Theft Auto V', 4: 'Dota 2', 5: 'Apex Legends', 6: 'Counter-Strike: Global Offensive', 7: 'Overwatch', 8: 'Hearthstone', 9: 'World of Warcraft'}, 'Number of hours watched': {0: 512.3, 1: 465.0, 2: 372.5, 3: 269.1, 4: 237.1, 5: 181.4, 6: 178.0, 7: 127.3, 8: 120.7, 9: 118.5}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 222, 'y': 35, 'w': 488, 'h': 380}}, 'y_axis': {'label': {'bbox': [{'x': 409, 'y': 446, 'w': 114.515625, 'h': 11}], 'text': 'Number of hours watched'}, 'major_labels': {'bboxes': [{'x': 201.5, 'y': 421, 'w': 49.71428571428571, 'h': 26.0}, {'x': 282.5, 'y': 421, 'w': 49.71428571428571, 'h': 26.0}, {'x': 364.5, 'y': 421, 'w': 49.71428571428571, 'h': 26.0}, {'x': 445.5, 'y': 421, 'w': 49.71428571428571, 'h': 26.0}, {'x': 526.5, 'y': 421, 'w': 49.71428571428571, 'h': 26.0}, {'x': 608.5, 'y': 421, 'w': 49.71428571428571, 'h': 26.0}, {'x': 690.5, 'y': 421, 'w': 49.71428571428571, 'h': 26.0}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 115, 'y': 48, 'h': 12, 'w': 94.6982421875}, {'x': 172, 'y': 86, 'h': 12, 'w': 37.296875}, {'x': 145, 'y': 124, 'h': 12, 'w': 64.203125}, {'x': 115, 'y': 162, 'h': 12, 'w': 94.63037109375}, {'x': 177, 'y': 200, 'h': 12, 'w': 32.421875}, {'x': 139, 'y': 238, 'h': 12, 'w': 70.83447265625}, {'x': 51, 'y': 276, 'h': 12, 'w': 158.15625}, {'x': 156, 'y': 314, 'h': 12, 'w': 52.578125}, {'x': 149, 'y': 352, 'h': 12, 'w': 59.9375}, {'x': 124, 'y': 390, 'h': 12, 'w': 84.96875}], 'values': ['League of Legends', 'Fortnite', 'Just Chatting', 'Grand Theft Auto V', 'Dota 2', 'Apex Legends', 'Counter-Strike: Global Offensive', 'Overwatch', 'Hearthstone', 'World of Warcraft']}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 221, 'y': 41, 'w': 417, 'h': 26}, {'x': 221, 'y': 79, 'w': 378, 'h': 26}, {'x': 221, 'y': 117, 'w': 303, 'h': 26}, {'x': 221, 'y': 155, 'w': 219, 'h': 26}, {'x': 221, 'y': 193, 'w': 193, 'h': 26}, {'x': 221, 'y': 231, 'w': 148, 'h': 26}, {'x': 221, 'y': 269, 'w': 145, 'h': 26}, {'x': 221, 'y': 307, 'w': 104, 'h': 26}, {'x': 221, 'y': 345, 'w': 98, 'h': 26}, {'x': 221, 'y': 383, 'w': 96, 'h': 26}], 'x': ['League of Legends', 'Fortnite', 'Just Chatting', 'Grand Theft Auto V', 'Dota 2', 'Apex Legends', 'Counter-Strike: Global Offensive', 'Overwatch', 'Hearthstone', 'World of Warcraft'], 'y': ['512.3', '465', '372.5', '269.1', '237.1', '181.4', '178', '127.3', '120.7', '118.5'], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['League of Legends', 'Fortnite', 'Just Chatting', 'Grand Theft Auto V', 'Dota 2', 'Apex Legends', 'Counter-Strike: Global Offensive', 'Overwatch', 'Hearthstone', 'World of Warcraft']}], 'type': 'h_bar'}"
"two_col_61737.png"	true	"Which country was the leading pharmaceutical supplier to Germany in 2019?"	[]	"Switzerland"	"two_col_61737.csv"	"{'Characteristic': {0: 'Switzerland', 1: 'United States', 2: 'Netherlands', 3: 'Ireland', 4: 'France', 5: 'Great Britain', 6: 'Italy', 7: 'Belgium', 8: 'Singapore', 9: 'Spain', 10: 'Other'}, 'Import value in billion euros': {0: 11.87, 1: 8.36, 2: 7.66, 3: 4.49, 4: 3.33, 5: 2.88, 6: 2.85, 7: 2.25, 8: 1.72, 9: 1.6, 10: 10.99}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 119, 'y': 35, 'w': 591, 'h': 480}}, 'y_axis': {'label': {'bbox': [{'x': 354, 'y': 546, 'w': 121.734375, 'h': 11}], 'text': 'Import value in billion euros'}, 'major_labels': {'bboxes': [{'x': 98.5, 'y': 521, 'w': 53.875, 'h': 26.0}, {'x': 182.5, 'y': 521, 'w': 53.875, 'h': 26.0}, {'x': 267.5, 'y': 521, 'w': 53.875, 'h': 26.0}, {'x': 351.5, 'y': 521, 'w': 53.875, 'h': 26.0}, {'x': 436.5, 'y': 521, 'w': 53.875, 'h': 26.0}, {'x': 520.5, 'y': 521, 'w': 53.875, 'h': 26.0}, {'x': 605.5, 'y': 521, 'w': 53.875, 'h': 26.0}, {'x': 690.5, 'y': 521, 'w': 53.875, 'h': 26.0}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 49, 'y': 51, 'h': 12, 'w': 56.859375}, {'x': 40, 'y': 94, 'h': 12, 'w': 66.53759765625}, {'x': 47, 'y': 138, 'h': 12, 'w': 59.81298828125}, {'x': 72, 'y': 182, 'h': 12, 'w': 33.640625}, {'x': 72, 'y': 225, 'h': 12, 'w': 34.25}, {'x': 44, 'y': 269, 'h': 12, 'w': 61.75}, {'x': 86, 'y': 313, 'h': 12, 'w': 20.673828125}, {'x': 66, 'y': 356, 'h': 12, 'w': 39.75}, {'x': 56, 'y': 400, 'h': 12, 'w': 50.15625}, {'x': 78, 'y': 444, 'h': 12, 'w': 28.140625}, {'x': 78, 'y': 487, 'h': 12, 'w': 27.84765625}], 'values': ['Switzerland', 'United States', 'Netherlands', 'Ireland', 'France', 'Great Britain', 'Italy', 'Belgium', 'Singapore', 'Spain', 'Other']}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 118, 'y': 42, 'w': 501, 'h': 30}, {'x': 118, 'y': 85, 'w': 353, 'h': 30}, {'x': 118, 'y': 129, 'w': 323, 'h': 30}, {'x': 118, 'y': 173, 'w': 190, 'h': 30}, {'x': 118, 'y': 216, 'w': 141, 'h': 30}, {'x': 118, 'y': 260, 'w': 122, 'h': 30}, {'x': 118, 'y': 304, 'w': 120, 'h': 30}, {'x': 118, 'y': 347, 'w': 95, 'h': 30}, {'x': 118, 'y': 391, 'w': 73, 'h': 30}, {'x': 118, 'y': 434, 'w': 68, 'h': 30}, {'x': 118, 'y': 478, 'w': 464, 'h': 30}], 'x': ['Switzerland', 'United States', 'Netherlands', 'Ireland', 'France', 'Great Britain', 'Italy', 'Belgium', 'Singapore', 'Spain', 'Other'], 'y': ['11.87', '8.36', '7.66', '4.49', '3.33', '2.88', '2.85', '2.25', '1.72', '1.6', '10.99'], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['Switzerland', 'United States', 'Netherlands', 'Ireland', 'France', 'Great Britain', 'Italy', 'Belgium', 'Singapore', 'Spain', 'Other']}], 'type': 'h_bar'}"
"multi_col_40810.png"	true	"What is the region with the highest number of ICUs in Italy?"	[]	"Lombardy"	"multi_col_40810.csv"	"{'Characteristic': {0: 'Lombardy', 1: 'Lazio', 2: 'Veneto', 3: 'Emilia Romagna', 4: 'Sicily', 5: 'Tuscany', 6: 'Campania', 7: 'Piedmont', 8: 'Apulia', 9: 'Liguria', 10: 'Calabria', 11: 'Sardinia', 12: 'Abruzzo', 13: 'Friuli Venezia Giulia', 14: 'Marche', 15: 'Umbria', 16: 'Basilicata', 17: 'Autonomous Province of Bolzano', 18: 'Autonomous Province of Trento', 19: 'Molise', 20: 'Aosta Valley'}, 'Pre-COVID-19': {0: 861, 1: 571, 2: 494, 3: 449, 4: 418, 5: 374, 6: 335, 7: 327, 8: 304, 9: 180, 10: 146, 11: 134, 12: 123, 13: 120, 14: 115, 15: 70, 16: 49, 17: 37, 18: 32, 19: 30, 20: 10}, 'Additions due to COVID-19': {0: 438, 1: 237, 2: 331, 3: 259, 4: 312, 5: 195, 6: 105, 7: 500, 8: 227, 9: 194, 10: 60, 11: 24, 12: 49, 13: 93, 14: 102, 15: 35, 16: 24, 17: 49, 18: 48, 19: 4, 20: 25}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 226, 'y': 35, 'w': 484, 'h': 761}}, 'y_axis': {'label': {'bbox': [{'x': 432, 'y': 827, 'w': 71.6875, 'h': 11}], 'text': 'Number of ICUs'}, 'major_labels': {'bboxes': [{'x': 205.5, 'y': 802, 'w': 33.77777777777778, 'h': 26.0}, {'x': 266.5, 'y': 802, 'w': 33.77777777777778, 'h': 26.0}, {'x': 326.5, 'y': 802, 'w': 33.77777777777778, 'h': 26.0}, {'x': 387.5, 'y': 802, 'w': 33.77777777777778, 'h': 26.0}, {'x': 447.5, 'y': 802, 'w': 33.77777777777778, 'h': 26.0}, {'x': 508.5, 'y': 802, 'w': 33.77777777777778, 'h': 26.0}, {'x': 568.5, 'y': 802, 'w': 33.77777777777778, 'h': 26.0}, {'x': 629.5, 'y': 802, 'w': 33.77777777777778, 'h': 26.0}, {'x': 690.5, 'y': 802, 'w': 33.77777777777778, 'h': 26.0}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 164, 'y': 47, 'h': 12, 'w': 49.41455078125}, {'x': 187, 'y': 83, 'h': 12, 'w': 26.296875}, {'x': 179, 'y': 120, 'h': 12, 'w': 34.265625}, {'x': 132, 'y': 156, 'h': 12, 'w': 81.5830078125}, {'x': 187, 'y': 192, 'h': 12, 'w': 26.16845703125}, {'x': 172, 'y': 228, 'h': 12, 'w': 41.6640625}, {'x': 163, 'y': 265, 'h': 12, 'w': 51.021484375}, {'x': 167, 'y': 301, 'h': 12, 'w': 46.484375}, {'x': 182, 'y': 337, 'h': 12, 'w': 31.4599609375}, {'x': 180, 'y': 373, 'h': 12, 'w': 33.90380859375}, {'x': 172, 'y': 410, 'h': 12, 'w': 41.84765625}, {'x': 173, 'y': 446, 'h': 12, 'w': 41.24072265625}, {'x': 173, 'y': 482, 'h': 12, 'w': 40.359375}, {'x': 116, 'y': 518, 'h': 12, 'w': 98.09375}, {'x': 176, 'y': 554, 'h': 12, 'w': 36.6875}, {'x': 178, 'y': 591, 'h': 12, 'w': 36.33154296875}, {'x': 166, 'y': 627, 'h': 12, 'w': 47.9599609375}, {'x': 50, 'y': 663, 'h': 12, 'w': 162.65625}, {'x': 59, 'y': 699, 'h': 12, 'w': 154.09375}, {'x': 181, 'y': 736, 'h': 12, 'w': 31.796875}, {'x': 153, 'y': 772, 'h': 12, 'w': 60.828125}], 'values': ['Lombardy', 'Lazio', 'Veneto', 'Emilia Romagna', 'Sicily', 'Tuscany', 'Campania', 'Piedmont', 'Apulia', 'Liguria', 'Calabria', 'Sardinia', 'Abruzzo', 'Friuli Venezia Giulia', 'Marche', 'Umbria', 'Basilicata', 'Autonomous Province of Bolzano', 'Autonomous Province of Trento', 'Molise', 'Aosta Valley']}, 'label': {}}, 'legend': {'bbox': {'x': 210, 'y': 856, 'w': 325, 'h': 34}, 'items': [{'model': 'Additions due to COVID-19', 'label': {'bbox': {'x': 359, 'y': 868, 'w': 153.66015625, 'h': 14}, 'text': 'Additions due to COVID-19'}, 'preview': {'bbox': {'x': 340, 'y': 868, 'w': 12, 'h': 12}}}, {'model': 'Pre-COVID-19', 'label': {'bbox': {'x': 239, 'y': 868, 'w': 79.017578125, 'h': 14}, 'text': 'Pre-COVID-19'}, 'preview': {'bbox': {'x': 220, 'y': 868, 'w': 12, 'h': 12}}}]}}, 'models': [{'name': 'Additions due to COVID-19', 'bboxes': [{'x': 225, 'y': 39, 'w': 260, 'h': 28}, {'x': 225, 'y': 75, 'w': 173, 'h': 28}, {'x': 225, 'y': 111, 'w': 149, 'h': 28}, {'x': 225, 'y': 147, 'w': 136, 'h': 28}, {'x': 225, 'y': 185, 'w': 126, 'h': 28}, {'x': 225, 'y': 221, 'w': 113, 'h': 28}, {'x': 225, 'y': 257, 'w': 101, 'h': 28}, {'x': 225, 'y': 293, 'w': 99, 'h': 28}, {'x': 225, 'y': 329, 'w': 92, 'h': 28}, {'x': 225, 'y': 365, 'w': 54, 'h': 28}, {'x': 225, 'y': 401, 'w': 44, 'h': 28}, {'x': 225, 'y': 437, 'w': 41, 'h': 28}, {'x': 225, 'y': 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"two_col_62773.png"	true	"What was the global sales income of certified Fairtrade International coffee in 2018?"	[]	"76.4"	"two_col_62773.csv"	"{'Certified product': {0: 'Coffee', 1: 'Cocoa', 2: 'Bananas', 3: 'Cane sugar', 4: 'Flowers and plants', 5: 'Tea', 6: 'Cotton'}, 'Sales income in million euros': {0: 76.4, 1: 44.4, 2: 32.2, 3: 10.7, 4: 6.7, 5: 4.7, 6: 1.4}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 173, 'y': 35, 'w': 537, 'h': 380}}, 'y_axis': {'label': {'bbox': [{'x': 40, 'y': 188, 'w': 11, 'h': 73.5908203125}], 'text': 'Sales income in million euros'}, 'major_labels': {'bboxes': [{'x': 152.5, 'y': 163, 'w': 33.7, 'h': 172.0}, {'x': 212.5, 'y': 163, 'w': 33.7, 'h': 172.0}, {'x': 271.5, 'y': 163, 'w': 33.7, 'h': 172.0}, {'x': 331.5, 'y': 163, 'w': 33.7, 'h': 172.0}, {'x': 391.5, 'y': 163, 'w': 33.7, 'h': 172.0}, {'x': 450.5, 'y': 163, 'w': 33.7, 'h': 172.0}, {'x': 510.5, 'y': 163, 'w': 33.7, 'h': 172.0}, {'x': 570.5, 'y': 163, 'w': 33.7, 'h': 172.0}, {'x': 629.5, 'y': 163, 'w': 33.7, 'h': 172.0}, {'x': 690.5, 'y': 163, 'w': 33.7, 'h': 172.0}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 128, 'y': 56, 'h': 12, 'w': 32.21875}, {'x': 128, 'y': 110, 'h': 12, 'w': 32.67919921875}, {'x': 117, 'y': 165, 'h': 12, 'w': 43.92529296875}, {'x': 103, 'y': 219, 'h': 12, 'w': 57.2060546875}, {'x': 68, 'y': 273, 'h': 12, 'w': 92.82373046875}, {'x': 142, 'y': 328, 'h': 12, 'w': 18.61767578125}, {'x': 128, 'y': 382, 'h': 12, 'w': 32.421875}], 'values': ['Coffee', 'Cocoa', 'Bananas', 'Cane sugar', 'Flowers and plants', 'Tea', 'Cotton']}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 172, 'y': 43, 'w': 456, 'h': 38}, {'x': 172, 'y': 97, 'w': 265, 'h': 38}, {'x': 172, 'y': 151, 'w': 192, 'h': 38}, {'x': 172, 'y': 206, 'w': 64, 'h': 38}, {'x': 172, 'y': 260, 'w': 40, 'h': 38}, {'x': 172, 'y': 314, 'w': 28, 'h': 38}, {'x': 172, 'y': 368, 'w': 8, 'h': 38}], 'x': ['Coffee', 'Cocoa', 'Bananas', 'Cane sugar', 'Flowers and plants', 'Tea', 'Cotton'], 'y': ['76.4', '44.4', '32.2', '10.7', '6.7', '4.7', '1.4'], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['Coffee', 'Cocoa', 'Bananas', 'Cane sugar', 'Flowers and plants', 'Tea', 'Cotton']}], 'type': 'h_bar'}"
"two_col_82868.png"	true	"What percentage of Belize's GDP did the national debt amount to in 2019?"	[]	"97.52"	"two_col_82868.csv"	"{'Characteristic': {0: '2026', 1: '2025', 2: '2024', 3: '2023', 4: '2022', 5: '2021', 6: '2020*', 7: '2019', 8: '2018', 9: '2017', 10: '2016'}, 'National debt in relation to GDP': {0: '129.93%', 1: '130%', 2: '130.02%', 3: '130%', 4: '132.14%', 5: '134.58%', 6: '127.41%', 7: '97.52%', 8: '96.01%', 9: '96.58%', 10: '88.98%'}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 103, 'y': 45, 'w': 622, 'h': 392}}, 'y_axis': {'label': {'bbox': [{'x': 40, 'y': 170, 'w': 11, 'h': 140.96484375}], 'text': 'National debt in relation to GDP'}, 'major_labels': {'bboxes': [{'x': 65, 'y': 422.5, 'w': 28.0, 'h': 36.0}, {'x': 65, 'y': 357.5, 'w': 28.0, 'h': 36.0}, {'x': 65, 'y': 291.5, 'w': 28.0, 'h': 36.0}, {'x': 65, 'y': 226.5, 'w': 28.0, 'h': 36.0}, {'x': 65, 'y': 161.5, 'w': 28.0, 'h': 36.0}, {'x': 65, 'y': 95.5, 'w': 28.0, 'h': 36.0}, {'x': 65, 'y': 29.5, 'w': 28.0, 'h': 36.0}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 119, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 176, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 232, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 289, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 343, 'y': 447, 'h': 12, 'w': 29.470703125}, {'x': 400, 'y': 447, 'h': 12, 'w': 29.470703125}, {'x': 456, 'y': 447, 'h': 12, 'w': 29.470703125}, {'x': 513, 'y': 447, 'h': 12, 'w': 29.470703125}, {'x': 569, 'y': 447, 'h': 12, 'w': 29.470703125}, {'x': 626, 'y': 447, 'h': 12, 'w': 29.470703125}, {'x': 682, 'y': 447, 'h': 12, 'w': 29.470703125}], 'values': ['2016', '2017', '2018', '2019', '2020', '2021', '2022', '2023', '2024', '2025', '2026']}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 112, 'y': 205, 'w': 39, 'h': 233}, {'x': 168, 'y': 186, 'w': 39, 'h': 252}, {'x': 225, 'y': 187, 'w': 39, 'h': 251}, {'x': 282, 'y': 183, 'w': 39, 'h': 255}, {'x': 338, 'y': 105, 'w': 39, 'h': 333}, {'x': 395, 'y': 86, 'w': 39, 'h': 352}, {'x': 451, 'y': 93, 'w': 39, 'h': 345}, {'x': 508, 'y': 98, 'w': 39, 'h': 340}, {'x': 564, 'y': 98, 'w': 39, 'h': 340}, {'x': 621, 'y': 98, 'w': 39, 'h': 340}, {'x': 677, 'y': 98, 'w': 39, 'h': 340}], 'x': ['2016', '2017', '2018', '2019', '2020', '2021', '2022', '2023', '2024', '2025', '2026'], 'y': ['88.98%', '96.58%', '96.01%', '97.52%', '127.41%', '134.58%', '132.14%', '130%', '130.02%', '130%', '129.93%'], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['2016', '2017', '2018', '2019', '2020', '2021', '2022', '2023', '2024', '2025', '2026*']}], 'type': 'v_bar'}"
"two_col_60067.png"	true	"In what year did the Mexican government spend 6.61 billion dollars in the military?"	[]	"2020"	"two_col_60067.csv"	"{'Characteristic': {0: 2020, 1: 2019, 2: 2018, 3: 2017, 4: 2016, 5: 2015, 6: 2014, 7: 2013}, 'Expenditure in billion U.S. dollars': {0: 6.61, 1: 6.65, 2: 6.05, 3: 5.41, 4: 5.97, 5: 5.34, 6: 5.87, 7: 5.44}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 81, 'y': 45, 'w': 644, 'h': 392}}, 'y_axis': {'label': {'bbox': [{'x': 40, 'y': 168, 'w': 11, 'h': 146.75}], 'text': 'Expenditure in billion U.S. dollars'}, 'major_labels': {'bboxes': [{'x': 65, 'y': 422.5, 'w': 6.0, 'h': 23.555555555555557}, {'x': 65, 'y': 373.5, 'w': 6.0, 'h': 23.555555555555557}, {'x': 65, 'y': 324.5, 'w': 6.0, 'h': 23.555555555555557}, {'x': 65, 'y': 275.5, 'w': 6.0, 'h': 23.555555555555557}, {'x': 65, 'y': 226.5, 'w': 6.0, 'h': 23.555555555555557}, {'x': 65, 'y': 177.5, 'w': 6.0, 'h': 23.555555555555557}, {'x': 65, 'y': 128.5, 'w': 6.0, 'h': 23.555555555555557}, {'x': 65, 'y': 79.5, 'w': 6.0, 'h': 23.555555555555557}, {'x': 65, 'y': 29.5, 'w': 6.0, 'h': 23.555555555555557}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 109, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 190, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 270, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 351, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 431, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 512, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 592, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 673, 'y': 447, 'h': 12, 'w': 24.484375}], 'values': ['2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020']}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 94, 'y': 171, 'w': 56, 'h': 267}, {'x': 174, 'y': 150, 'w': 56, 'h': 288}, {'x': 255, 'y': 176, 'w': 56, 'h': 262}, {'x': 335, 'y': 145, 'w': 56, 'h': 293}, {'x': 416, 'y': 173, 'w': 56, 'h': 265}, {'x': 496, 'y': 142, 'w': 56, 'h': 296}, {'x': 577, 'y': 112, 'w': 56, 'h': 326}, {'x': 657, 'y': 114, 'w': 56, 'h': 324}], 'x': ['2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020'], 'y': ['5.44', '5.87', '5.34', '5.97', '5.41', '6.05', '6.65', '6.61'], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020']}], 'type': 'v_bar'}"
"two_col_60067.png"	true	"How much did the Mexican government spend in the military a year earlier?"	[]	"6.61"	"two_col_60067.csv"	"{'Characteristic': {0: 2020, 1: 2019, 2: 2018, 3: 2017, 4: 2016, 5: 2015, 6: 2014, 7: 2013}, 'Expenditure in billion U.S. dollars': {0: 6.61, 1: 6.65, 2: 6.05, 3: 5.41, 4: 5.97, 5: 5.34, 6: 5.87, 7: 5.44}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 81, 'y': 45, 'w': 644, 'h': 392}}, 'y_axis': {'label': {'bbox': [{'x': 40, 'y': 168, 'w': 11, 'h': 146.75}], 'text': 'Expenditure in billion U.S. dollars'}, 'major_labels': {'bboxes': [{'x': 65, 'y': 422.5, 'w': 6.0, 'h': 23.555555555555557}, {'x': 65, 'y': 373.5, 'w': 6.0, 'h': 23.555555555555557}, {'x': 65, 'y': 324.5, 'w': 6.0, 'h': 23.555555555555557}, {'x': 65, 'y': 275.5, 'w': 6.0, 'h': 23.555555555555557}, {'x': 65, 'y': 226.5, 'w': 6.0, 'h': 23.555555555555557}, {'x': 65, 'y': 177.5, 'w': 6.0, 'h': 23.555555555555557}, {'x': 65, 'y': 128.5, 'w': 6.0, 'h': 23.555555555555557}, {'x': 65, 'y': 79.5, 'w': 6.0, 'h': 23.555555555555557}, {'x': 65, 'y': 29.5, 'w': 6.0, 'h': 23.555555555555557}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 109, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 190, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 270, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 351, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 431, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 512, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 592, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 673, 'y': 447, 'h': 12, 'w': 24.484375}], 'values': ['2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020']}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 94, 'y': 171, 'w': 56, 'h': 267}, {'x': 174, 'y': 150, 'w': 56, 'h': 288}, {'x': 255, 'y': 176, 'w': 56, 'h': 262}, {'x': 335, 'y': 145, 'w': 56, 'h': 293}, {'x': 416, 'y': 173, 'w': 56, 'h': 265}, {'x': 496, 'y': 142, 'w': 56, 'h': 296}, {'x': 577, 'y': 112, 'w': 56, 'h': 326}, {'x': 657, 'y': 114, 'w': 56, 'h': 324}], 'x': ['2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020'], 'y': ['5.44', '5.87', '5.34', '5.97', '5.41', '6.05', '6.65', '6.61'], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020']}], 'type': 'v_bar'}"
"two_col_812.png"	true	"What percentage of the GDP of the United States was exported in 1990?"	[]	"9.23"	"two_col_812.csv"	"{'Characteristic': {0: 2019, 1: 2018, 2: 2017, 3: 2016, 4: 2015, 5: 2014, 6: 2013, 7: 2012, 8: 2011, 9: 2010, 10: 2009, 11: 2008, 12: 2007, 13: 2006, 14: 2005, 15: 2004, 16: 2003, 17: 2002, 18: 2001, 19: 2000, 20: 1999, 21: 1998, 22: 1997, 23: 1996, 24: 1995, 25: 1994, 26: 1993, 27: 1992, 28: 1991, 29: 1990}, 'Exports as a percentage of GDP': {0: '11.73%', 1: '12.22%', 2: '12.09%', 3: '11.87%', 4: '12.44%', 5: '13.54%', 6: '13.54%', 7: '13.53%', 8: '13.53%', 9: '12.32%', 10: '11.01%', 11: '12.51%', 12: '11.5%', 13: '10.65%', 14: '10%', 15: '9.63%', 16: '9.04%', 17: '9.13%', 18: '9.67%', 19: '10.66%', 20: '10.27%', 21: '10.48%', 22: '11.08%', 23: '10.71%', 24: '10.61%', 25: '9.86%', 26: '9.52%', 27: '9.68%', 28: '9.64%', 29: '9.23%'}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 76, 'y': 35, 'w': 634, 'h': 1052}}, 'y_axis': {'label': {'bbox': [{'x': 321, 'y': 1116, 'w': 144.294921875, 'h': 11}], 'text': 'Exports as a percentage of GDP'}, 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"two_col_812.png"	true	"In what year did the U.S. exports of goods and services make up 9.23 percent of its GDP?"	[]	"1990"	"two_col_812.csv"	"{'Characteristic': {0: 2019, 1: 2018, 2: 2017, 3: 2016, 4: 2015, 5: 2014, 6: 2013, 7: 2012, 8: 2011, 9: 2010, 10: 2009, 11: 2008, 12: 2007, 13: 2006, 14: 2005, 15: 2004, 16: 2003, 17: 2002, 18: 2001, 19: 2000, 20: 1999, 21: 1998, 22: 1997, 23: 1996, 24: 1995, 25: 1994, 26: 1993, 27: 1992, 28: 1991, 29: 1990}, 'Exports as a percentage of GDP': {0: '11.73%', 1: '12.22%', 2: '12.09%', 3: '11.87%', 4: '12.44%', 5: '13.54%', 6: '13.54%', 7: '13.53%', 8: '13.53%', 9: '12.32%', 10: '11.01%', 11: '12.51%', 12: '11.5%', 13: '10.65%', 14: '10%', 15: '9.63%', 16: '9.04%', 17: '9.13%', 18: '9.67%', 19: '10.66%', 20: '10.27%', 21: '10.48%', 22: '11.08%', 23: '10.71%', 24: '10.61%', 25: '9.86%', 26: '9.52%', 27: '9.68%', 28: '9.64%', 29: '9.23%'}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 76, 'y': 35, 'w': 634, 'h': 1052}}, 'y_axis': {'label': {'bbox': [{'x': 321, 'y': 1116, 'w': 144.294921875, 'h': 11}], 'text': 'Exports as a percentage of GDP'}, 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"two_col_43359.png"	true	"What was the population of Romania in 2019?"	[]	"19.31"	"two_col_43359.csv"	"{'Characteristic': {0: '2026', 1: '2025', 2: '2024', 3: '2023', 4: '2022', 5: '2021', 6: '2020*', 7: '2019', 8: '2018', 9: '2017', 10: '2016'}, 'Inhabitants in millions': {0: 19.31, 1: 19.31, 2: 19.31, 3: 19.31, 4: 19.32, 5: 19.32, 6: 19.32, 7: 19.41, 8: 19.53, 9: 19.64, 10: 19.76}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 88, 'y': 45, 'w': 637, 'h': 392}}, 'y_axis': {'label': {'bbox': [{'x': 40, 'y': 193, 'w': 11, 'h': 95.609375}], 'text': 'Inhabitants in millions'}, 'major_labels': {'bboxes': [{'x': 65, 'y': 422.5, 'w': 13.0, 'h': 45.33333333333333}, {'x': 65, 'y': 344.5, 'w': 13.0, 'h': 45.33333333333333}, {'x': 65, 'y': 265.5, 'w': 13.0, 'h': 45.33333333333333}, {'x': 65, 'y': 187.5, 'w': 13.0, 'h': 45.33333333333333}, {'x': 65, 'y': 108.5, 'w': 13.0, 'h': 45.33333333333333}, {'x': 65, 'y': 29.5, 'w': 13.0, 'h': 45.33333333333333}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 105, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 163, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 221, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 278, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 334, 'y': 447, 'h': 12, 'w': 29.470703125}, {'x': 392, 'y': 447, 'h': 12, 'w': 29.470703125}, {'x': 450, 'y': 447, 'h': 12, 'w': 29.470703125}, {'x': 508, 'y': 447, 'h': 12, 'w': 29.470703125}, {'x': 566, 'y': 447, 'h': 12, 'w': 29.470703125}, {'x': 624, 'y': 447, 'h': 12, 'w': 29.470703125}, {'x': 682, 'y': 447, 'h': 12, 'w': 29.470703125}], 'values': ['2016', '2017', '2018', '2019', '2020', '2021', '2022', '2023', '2024', '2025', '2026']}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 97, 'y': 128, 'w': 40, 'h': 310}, {'x': 155, 'y': 130, 'w': 40, 'h': 308}, {'x': 213, 'y': 132, 'w': 40, 'h': 306}, {'x': 271, 'y': 134, 'w': 40, 'h': 304}, {'x': 329, 'y': 135, 'w': 40, 'h': 303}, {'x': 387, 'y': 135, 'w': 40, 'h': 303}, {'x': 445, 'y': 135, 'w': 40, 'h': 303}, {'x': 503, 'y': 135, 'w': 40, 'h': 303}, {'x': 560, 'y': 135, 'w': 40, 'h': 303}, {'x': 618, 'y': 135, 'w': 40, 'h': 303}, {'x': 676, 'y': 135, 'w': 40, 'h': 303}], 'x': ['2016', '2017', '2018', '2019', '2020', '2021', '2022', '2023', '2024', '2025', '2026'], 'y': ['19.76', '19.64', '19.53', '19.41', '19.32', '19.32', '19.32', '19.31', '19.31', '19.31', '19.31'], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['2016', '2017', '2018', '2019', '2020', '2021', '2022', '2023', '2024', '2025', '2026*']}], 'type': 'v_bar'}"
"two_col_83045.png"	true	"What is the estimated amount of digital newspaper ad spending in the United States in 2019?"	[]	"5.4"	"two_col_83045.csv"	"{'Characteristic': {0: 'TV advertising', 1: 'Radio', 2: 'Consumer magazine', 3: 'Newspaper', 4: 'Out-of home', 5: 'Trade magazine'}, 'Spending in billion U.S. dollars': {0: 6.8, 1: 1.65, 2: 8.7, 3: 5.4, 4: 4.65, 5: 2.2}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 89, 'y': 45, 'w': 636, 'h': 377}}, 'y_axis': {'label': {'bbox': [{'x': 40, 'y': 166, 'w': 11, 'h': 135.640625}], 'text': 'Spending in billion U.S. dollars'}, 'major_labels': {'bboxes': [{'x': 65, 'y': 407.5, 'w': 14.0, 'h': 42.833333333333336}, {'x': 65, 'y': 332.5, 'w': 14.0, 'h': 42.833333333333336}, {'x': 65, 'y': 256.5, 'w': 14.0, 'h': 42.833333333333336}, {'x': 65, 'y': 181.5, 'w': 14.0, 'h': 42.833333333333336}, {'x': 65, 'y': 105.5, 'w': 14.0, 'h': 42.833333333333336}, {'x': 65, 'y': 29.5, 'w': 14.0, 'h': 42.833333333333336}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 107, 'y': 432, 'h': 12, 'w': 70.3125}, {'x': 234, 'y': 432, 'h': 12, 'w': 28.75}, {'x': 329, 'y': 432, 'h': 24, 'w': 51.07763671875}, {'x': 432, 'y': 432, 'h': 12, 'w': 55.97607421875}, {'x': 535, 'y': 432, 'h': 12, 'w': 61.140625}, {'x': 632, 'y': 432, 'h': 12, 'w': 79.09375}], 'values': ['TV advertising', 'Radio', 'Consumer', 'Newspaper', 'Out-of home', 'Trade magazine']}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 106, 'y': 167, 'w': 73, 'h': 256}, {'x': 212, 'y': 361, 'w': 73, 'h': 62}, {'x': 318, 'y': 95, 'w': 73, 'h': 328}, {'x': 424, 'y': 219, 'w': 73, 'h': 204}, {'x': 530, 'y': 248, 'w': 73, 'h': 175}, {'x': 636, 'y': 340, 'w': 73, 'h': 83}], 'x': ['TV advertising', 'Radio', 'Consumer', 'Newspaper', 'Out-of home', 'Trade magazine'], 'y': ['6.8', '1.65', '8.7', '5.4', '4.65', '2.2'], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['TV advertising', 'Radio', 'Consumer', 'Newspaper', 'Out-of home', 'Trade magazine']}], 'type': 'v_bar'}"
"two_col_2693.png"	true	"What percentage of households owned a microwave in 2018?"	[]	"93"	"two_col_2693.csv"	"{'Characteristic': {0: '2018', 1: '2017', 2: '2016', 3: '2015', 4: '2014', 5: '2013', 6: '2012', 7: '2011', 8: '2010', 9: '2009', 10: '2008', 11: '2007', 12: '2006', 13: '2005-06', 14: '2004-05', 15: '2003-04', 16: '2002-03', 17: '2001-02', 18: '2000-01', 19: '1999-2000', 20: '1998-99', 21: '1997-98', 22: '1996-97', 23: '1995-96', 24: '1994-95'}, 'Percentage of respondents': {0: '93%', 1: '93%', 2: '93%', 3: '92%', 4: '92%', 5: '92%', 6: '93%', 7: '92%', 8: '92%', 9: '93%', 10: '92%', 11: '91%', 12: '91%', 13: '91%', 14: '90%', 15: '89%', 16: '87%', 17: '86%', 18: '84%', 19: '80%', 20: '80%', 21: '77%', 22: '75%', 23: '70%', 24: '67%'}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 103, 'y': 45, 'w': 622, 'h': 349}}, 'y_axis': {'label': {'bbox': [{'x': 40, 'y': 159, 'w': 11, 'h': 120.09375}], 'text': 'Percentage of respondents'}, 'major_labels': {'bboxes': [{'x': 65, 'y': 379.5, 'w': 28.0, 'h': 29.857142857142854}, {'x': 65, 'y': 321.5, 'w': 28.0, 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"multi_col_712.png"	true	"How much was digital album downloads worth in dollars in 2020?"	[]	"319.5"	"multi_col_712.csv"	"{'Characteristic': {0: 2020, 1: 2019, 2: 2018, 3: 2017, 4: 2016, 5: 2015, 6: 2014, 7: 2013, 8: 2012, 9: 2011, 10: 2010, 11: 2009, 12: 2008}, 'Ringtones & ringbacks': {0: 20.2, 1: 20.6, 2: 24.9, 3: 35.5, 4: 51.1, 5: 54.6, 6: 66.3, 7: 98.0, 8: 166.9, 9: 276.2, 10: 448.0, 11: 728.8, 12: 977.1}, 'Subscription and streaming': {0: '10074.5', 1: '8882', 2: '7336.8', 3: '5664.5', 4: '3962.1', 5: '2406.6', 6: '1868.3', 7: '1449.6', 8: '1032.8', 9: '651.2', 10: '-', 11: '-', 12: '-'}, 'Album downloads': {0: 319.5, 1: 368.8, 2: 499.7, 3: 668.5, 4: 818.8, 5: 1090.7, 6: 1150.9, 7: 1232.1, 8: 1204.8, 9: 1070.8, 10: 872.4, 11: 763.4, 12: 635.3}, 'Single downloads': {0: 312.8, 1: 408.4, 2: 490.4, 3: 678.5, 4: 872.9, 5: 1195.1, 6: 1407.8, 7: 1567.6, 8: 1623.6, 9: 1522.4, 10: 1317.4, 11: 1220.3, 12: 1032.2}, 'Other digital**': {0: '21.9', 1: '25', 2: '24.1', 3: '21.9', 4: '24.2', 5: '10.1', 6: '-', 7: '-', 8: '-', 9: '-', 10: '-', 11: '-', 12: 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"multi_col_712.png"	true	"How much did subscription and streaming revenues reach in 2020?"	[]	"10074.5"	"multi_col_712.csv"	"{'Characteristic': {0: 2020, 1: 2019, 2: 2018, 3: 2017, 4: 2016, 5: 2015, 6: 2014, 7: 2013, 8: 2012, 9: 2011, 10: 2010, 11: 2009, 12: 2008}, 'Ringtones & ringbacks': {0: 20.2, 1: 20.6, 2: 24.9, 3: 35.5, 4: 51.1, 5: 54.6, 6: 66.3, 7: 98.0, 8: 166.9, 9: 276.2, 10: 448.0, 11: 728.8, 12: 977.1}, 'Subscription and streaming': {0: '10074.5', 1: '8882', 2: '7336.8', 3: '5664.5', 4: '3962.1', 5: '2406.6', 6: '1868.3', 7: '1449.6', 8: '1032.8', 9: '651.2', 10: '-', 11: '-', 12: '-'}, 'Album downloads': {0: 319.5, 1: 368.8, 2: 499.7, 3: 668.5, 4: 818.8, 5: 1090.7, 6: 1150.9, 7: 1232.1, 8: 1204.8, 9: 1070.8, 10: 872.4, 11: 763.4, 12: 635.3}, 'Single downloads': {0: 312.8, 1: 408.4, 2: 490.4, 3: 678.5, 4: 872.9, 5: 1195.1, 6: 1407.8, 7: 1567.6, 8: 1623.6, 9: 1522.4, 10: 1317.4, 11: 1220.3, 12: 1032.2}, 'Other digital**': {0: '21.9', 1: '25', 2: '24.1', 3: '21.9', 4: '24.2', 5: '10.1', 6: '-', 7: '-', 8: '-', 9: '-', 10: '-', 11: '-', 12: 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"two_col_20259.png"	true	"What percentage of adults in the United States said they had a more favorable view of brands who posted their support of the police on social media?"	[]	"28"	"two_col_20259.csv"	"{'Characteristic': {0: 'More favorable view', 1: 'Less favorable view', 2: 'No impact either way', 3: "Don't know / no opinion"}, 'Share of respondents': {0: '28%', 1: '22%', 2: '31%', 3: '20%'}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 96, 'y': 45, 'w': 629, 'h': 392}}, 'y_axis': {'label': {'bbox': [{'x': 40, 'y': 193, 'w': 11, 'h': 95.625}], 'text': 'Share of respondents'}, 'major_labels': {'bboxes': [{'x': 65, 'y': 422.5, 'w': 21.0, 'h': 29.0}, {'x': 65, 'y': 366.5, 'w': 21.0, 'h': 29.0}, {'x': 65, 'y': 310.5, 'w': 21.0, 'h': 29.0}, {'x': 65, 'y': 254.5, 'w': 21.0, 'h': 29.0}, {'x': 65, 'y': 198.5, 'w': 21.0, 'h': 29.0}, {'x': 65, 'y': 142.5, 'w': 21.0, 'h': 29.0}, {'x': 65, 'y': 86.5, 'w': 21.0, 'h': 29.0}, {'x': 65, 'y': 29.5, 'w': 21.0, 'h': 29.0}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 125, 'y': 447, 'h': 12, 'w': 98.48681640625}, {'x': 284, 'y': 447, 'h': 12, 'w': 96.66064453125}, {'x': 438, 'y': 447, 'h': 12, 'w': 103.2060546875}, {'x': 589, 'y': 447, 'h': 12, 'w': 114.015625}], 'values': ['More favorable view', 'Less favorable view', 'No impact either way', "Don't know / no opinion"]}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 121, 'y': 124, 'w': 108, 'h': 314}, {'x': 278, 'y': 192, 'w': 108, 'h': 246}, {'x': 435, 'y': 91, 'w': 108, 'h': 347}, {'x': 593, 'y': 214, 'w': 108, 'h': 224}], 'x': ['More favorable view', 'Less favorable view', 'No impact either way', "Don't know / no opinion"], 'y': ['28%', '22%', '31%', '20%'], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['More favorable view', 'Less favorable view', 'No impact either way', "Don't know / no opinion"]}], 'type': 'v_bar'}"
"multi_col_20917.png"	true	"In what year was the U.S. dollar value used to determine the median household income for low-paid workers in the lowest quintile?"	[]	"2019"	"multi_col_20917.csv"	"{'Characteristic': {0: 2019, 1: 2018, 2: 2017, 3: 2016, 4: 2015, 5: 2014, 6: 2013, 7: 2012, 8: 2011, 9: 2010, 10: 2009, 11: 2008, 12: 2007, 13: 2006, 14: 2005, 15: 2004, 16: 2003, 17: 2002, 18: 2001, 19: 2000, 20: 1999, 21: 1998, 22: 1997, 23: 1996, 24: 1995, 25: 1994, 26: 1993, 27: 1992, 28: 1991, 29: 1990}, 'Lowest quintile': {0: 15286, 1: 14024, 2: 13895, 3: 13789, 4: 13443, 5: 12622, 6: 12745, 7: 12818, 8: 12803, 9: 12919, 10: 13799, 11: 13874, 12: 14278, 13: 14430, 14: 13983, 15: 13899, 16: 13929, 17: 14236, 18: 14672, 19: 15121, 20: 15262, 21: 14499, 22: 14083, 23: 13991, 24: 13945, 25: 13201, 26: 12857, 27: 12997, 28: 13265, 29: 13633}, 'Top 5 percent': {0: 451122, 1: 424066, 2: 423846, 3: 399606, 4: 378626, 5: 359255, 6: 367667, 7: 354805, 8: 354792, 9: 337488, 10: 352835, 11: 350800, 12: 354982, 13: 378032, 14: 368961, 15: 358043, 16: 352866, 17: 357704, 18: 377027, 19: 375756, 20: 361842, 21: 349434, 22: 343257, 23: 327537, 24: 315551, 25: 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"two_col_5425.png"	true	"How many patients died waiting for a kidney transplant in the UK in 2019/20?"	[]	"233"	"two_col_5425.csv"	"{'Characteristic': {0: 'Kidney', 1: 'Lung', 2: 'Liver', 3: 'Heart', 4: 'Kidney and pancreas', 5: 'Pancreas', 6: 'Heart/Lung', 7: 'Intestinal'}, 'Number of patients': {0: 233, 1: 49, 2: 42, 3: 20, 4: 13, 5: 1, 6: 1, 7: 0}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 96, 'y': 45, 'w': 629, 'h': 377}}, 'y_axis': {'label': {'bbox': [{'x': 40, 'y': 191, 'w': 11, 'h': 84.5}], 'text': 'Number of patients'}, 'major_labels': {'bboxes': [{'x': 65, 'y': 407.5, 'w': 21.0, 'h': 33.857142857142854}, {'x': 65, 'y': 344.5, 'w': 21.0, 'h': 33.857142857142854}, {'x': 65, 'y': 281.5, 'w': 21.0, 'h': 33.857142857142854}, {'x': 65, 'y': 219.5, 'w': 21.0, 'h': 33.857142857142854}, {'x': 65, 'y': 156.5, 'w': 21.0, 'h': 33.857142857142854}, {'x': 65, 'y': 93.5, 'w': 21.0, 'h': 33.857142857142854}, {'x': 65, 'y': 29.5, 'w': 21.0, 'h': 33.857142857142854}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 118, 'y': 432, 'h': 12, 'w': 34.1337890625}, {'x': 202, 'y': 432, 'h': 12, 'w': 24.484375}, {'x': 281, 'y': 432, 'h': 12, 'w': 24.17919921875}, {'x': 358, 'y': 432, 'h': 12, 'w': 26.90625}, {'x': 422, 'y': 432, 'h': 24, 'w': 55.046875}, {'x': 505, 'y': 432, 'h': 12, 'w': 46.970703125}, {'x': 580, 'y': 432, 'h': 12, 'w': 54.4375}, {'x': 664, 'y': 432, 'h': 12, 'w': 44.03125}], 'values': ['Kidney', 'Lung', 'Liver', 'Heart', 'Kidney and', 'Pancreas', 'Heart/Lung', 'Intestinal']}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 108, 'y': 130, 'w': 54, 'h': 293}, {'x': 187, 'y': 361, 'w': 54, 'h': 62}, {'x': 266, 'y': 370, 'w': 54, 'h': 53}, {'x': 344, 'y': 398, 'w': 54, 'h': 25}, {'x': 423, 'y': 407, 'w': 54, 'h': 16}, {'x': 502, 'y': 422, 'w': 54, 'h': 1}, {'x': 580, 'y': 422, 'w': 54, 'h': 1}, {'x': 659, 'y': 423, 'w': 54, 'h': 0}], 'x': ['Kidney', 'Lung', 'Liver', 'Heart', 'Kidney and', 'Pancreas', 'Heart/Lung', 'Intestinal'], 'y': ['233', '49', '42', '20', '13', '1', '1', '0'], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['Kidney', 'Lung', 'Liver', 'Heart', 'Kidney and', 'Pancreas', 'Heart/Lung', 'Intestinal']}], 'type': 'v_bar'}"
"multi_col_20784.png"	true	"What country had the highest rate of kidney transplant procedures in 2019?"	[]	"Spain"	"multi_col_20784.csv"	"{'Characteristic': {0: 'Spain', 1: 'France', 2: 'Netherlands', 3: 'United Kingdom', 4: 'Finland', 5: 'Portugal', 6: 'Czechia', 7: 'Norway', 8: 'Denmark', 9: 'Sweden', 10: 'Austria', 11: 'Switzerland', 12: 'Belgium', 13: 'Italy', 14: 'Slovakia', 15: 'Lithuania', 16: 'Croatia', 17: 'Ireland', 18: 'Estonia', 19: 'Hungary', 20: 'Poland', 21: 'Germany', 22: 'Latvia', 23: 'Slovenia', 24: 'Greece', 25: 'Cyprus', 26: 'Bulgaria'}, '2018': {0: 71.4, 1: 54.7, 2: 58.4, 3: 54.7, 4: 43.3, 5: 48.7, 6: 47.9, 7: 45.3, 8: 40.7, 9: 44.8, 10: 47.0, 11: 41.4, 12: 46.2, 13: 35.8, 14: 27.0, 15: 29.0, 16: 43.6, 17: 34.8, 18: 44.6, 19: 34.5, 20: 24.8, 21: 27.8, 22: 27.9, 23: 26.7, 24: 12.7, 25: 15.8, 26: 3.6}, '2019': {0: 73.8, 1: 55.6, 2: 55.6, 3: 54.5, 4: 52.3, 5: 49.9, 6: 48.1, 7: 47.8, 8: 47.6, 9: 47.1, 10: 43.9, 11: 39.5, 12: 37.4, 13: 36.1, 14: 35.8, 15: 35.5, 16: 32.9, 17: 31.9, 18: 31.5, 19: 27.4, 20: 25.9, 21: 25.9, 22: 19.5, 23: 18.1, 24: 16.0, 25: 12.5, 26: 5.1}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 134, 'y': 35, 'w': 576, 'h': 941}}, 'y_axis': {'label': {'bbox': [{'x': 363, 'y': 1007, 'w': 118.40625, 'h': 11}], 'text': 'Rate per million population'}, 'major_labels': {'bboxes': [{'x': 113.5, 'y': 982, 'w': 37.6, 'h': 26.0}, {'x': 177.5, 'y': 982, 'w': 37.6, 'h': 26.0}, {'x': 241.5, 'y': 982, 'w': 37.6, 'h': 26.0}, {'x': 305.5, 'y': 982, 'w': 37.6, 'h': 26.0}, {'x': 369.5, 'y': 982, 'w': 37.6, 'h': 26.0}, {'x': 433.5, 'y': 982, 'w': 37.6, 'h': 26.0}, {'x': 497.5, 'y': 982, 'w': 37.6, 'h': 26.0}, {'x': 561.5, 'y': 982, 'w': 37.6, 'h': 26.0}, {'x': 625.5, 'y': 982, 'w': 37.6, 'h': 26.0}, {'x': 690.5, 'y': 982, 'w': 37.6, 'h': 26.0}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 93, 'y': 46, 'h': 12, 'w': 28.140625}, {'x': 87, 'y': 81, 'h': 12, 'w': 34.25}, {'x': 62, 'y': 116, 'h': 12, 'w': 59.81298828125}, {'x': 43, 'y': 151, 'h': 12, 'w': 78.28125}, {'x': 85, 'y': 186, 'h': 12, 'w': 36.078125}, {'x': 80, 'y': 221, 'h': 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"multi_col_20784.png"	true	"What country had the second highest rate of kidney transplants in 2019?"	[]	"France"	"multi_col_20784.csv"	"{'Characteristic': {0: 'Spain', 1: 'France', 2: 'Netherlands', 3: 'United Kingdom', 4: 'Finland', 5: 'Portugal', 6: 'Czechia', 7: 'Norway', 8: 'Denmark', 9: 'Sweden', 10: 'Austria', 11: 'Switzerland', 12: 'Belgium', 13: 'Italy', 14: 'Slovakia', 15: 'Lithuania', 16: 'Croatia', 17: 'Ireland', 18: 'Estonia', 19: 'Hungary', 20: 'Poland', 21: 'Germany', 22: 'Latvia', 23: 'Slovenia', 24: 'Greece', 25: 'Cyprus', 26: 'Bulgaria'}, '2018': {0: 71.4, 1: 54.7, 2: 58.4, 3: 54.7, 4: 43.3, 5: 48.7, 6: 47.9, 7: 45.3, 8: 40.7, 9: 44.8, 10: 47.0, 11: 41.4, 12: 46.2, 13: 35.8, 14: 27.0, 15: 29.0, 16: 43.6, 17: 34.8, 18: 44.6, 19: 34.5, 20: 24.8, 21: 27.8, 22: 27.9, 23: 26.7, 24: 12.7, 25: 15.8, 26: 3.6}, '2019': {0: 73.8, 1: 55.6, 2: 55.6, 3: 54.5, 4: 52.3, 5: 49.9, 6: 48.1, 7: 47.8, 8: 47.6, 9: 47.1, 10: 43.9, 11: 39.5, 12: 37.4, 13: 36.1, 14: 35.8, 15: 35.5, 16: 32.9, 17: 31.9, 18: 31.5, 19: 27.4, 20: 25.9, 21: 25.9, 22: 19.5, 23: 18.1, 24: 16.0, 25: 12.5, 26: 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"multi_col_20784.png"	true	"What country had the largest rate increase between the years?"	[]	"Finland"	"multi_col_20784.csv"	"{'Characteristic': {0: 'Spain', 1: 'France', 2: 'Netherlands', 3: 'United Kingdom', 4: 'Finland', 5: 'Portugal', 6: 'Czechia', 7: 'Norway', 8: 'Denmark', 9: 'Sweden', 10: 'Austria', 11: 'Switzerland', 12: 'Belgium', 13: 'Italy', 14: 'Slovakia', 15: 'Lithuania', 16: 'Croatia', 17: 'Ireland', 18: 'Estonia', 19: 'Hungary', 20: 'Poland', 21: 'Germany', 22: 'Latvia', 23: 'Slovenia', 24: 'Greece', 25: 'Cyprus', 26: 'Bulgaria'}, '2018': {0: 71.4, 1: 54.7, 2: 58.4, 3: 54.7, 4: 43.3, 5: 48.7, 6: 47.9, 7: 45.3, 8: 40.7, 9: 44.8, 10: 47.0, 11: 41.4, 12: 46.2, 13: 35.8, 14: 27.0, 15: 29.0, 16: 43.6, 17: 34.8, 18: 44.6, 19: 34.5, 20: 24.8, 21: 27.8, 22: 27.9, 23: 26.7, 24: 12.7, 25: 15.8, 26: 3.6}, '2019': {0: 73.8, 1: 55.6, 2: 55.6, 3: 54.5, 4: 52.3, 5: 49.9, 6: 48.1, 7: 47.8, 8: 47.6, 9: 47.1, 10: 43.9, 11: 39.5, 12: 37.4, 13: 36.1, 14: 35.8, 15: 35.5, 16: 32.9, 17: 31.9, 18: 31.5, 19: 27.4, 20: 25.9, 21: 25.9, 22: 19.5, 23: 18.1, 24: 16.0, 25: 12.5, 26: 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"multi_col_20784.png"	true	"What was Spain's kidney transplant rate in 2018?"	[]	"71.4"	"multi_col_20784.csv"	"{'Characteristic': {0: 'Spain', 1: 'France', 2: 'Netherlands', 3: 'United Kingdom', 4: 'Finland', 5: 'Portugal', 6: 'Czechia', 7: 'Norway', 8: 'Denmark', 9: 'Sweden', 10: 'Austria', 11: 'Switzerland', 12: 'Belgium', 13: 'Italy', 14: 'Slovakia', 15: 'Lithuania', 16: 'Croatia', 17: 'Ireland', 18: 'Estonia', 19: 'Hungary', 20: 'Poland', 21: 'Germany', 22: 'Latvia', 23: 'Slovenia', 24: 'Greece', 25: 'Cyprus', 26: 'Bulgaria'}, '2018': {0: 71.4, 1: 54.7, 2: 58.4, 3: 54.7, 4: 43.3, 5: 48.7, 6: 47.9, 7: 45.3, 8: 40.7, 9: 44.8, 10: 47.0, 11: 41.4, 12: 46.2, 13: 35.8, 14: 27.0, 15: 29.0, 16: 43.6, 17: 34.8, 18: 44.6, 19: 34.5, 20: 24.8, 21: 27.8, 22: 27.9, 23: 26.7, 24: 12.7, 25: 15.8, 26: 3.6}, '2019': {0: 73.8, 1: 55.6, 2: 55.6, 3: 54.5, 4: 52.3, 5: 49.9, 6: 48.1, 7: 47.8, 8: 47.6, 9: 47.1, 10: 43.9, 11: 39.5, 12: 37.4, 13: 36.1, 14: 35.8, 15: 35.5, 16: 32.9, 17: 31.9, 18: 31.5, 19: 27.4, 20: 25.9, 21: 25.9, 22: 19.5, 23: 18.1, 24: 16.0, 25: 12.5, 26: 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"multi_col_100647.png"	true	"Who is the Daily Show's host?"	[]	"Jon Stewart"	"multi_col_100647.csv"	"{'Characteristic': {0: 'Jon Stewart', 1: 'Jimmy Fallon', 2: 'Stephen Colbert', 3: 'David Letterman', 4: 'Jimmy Kimmel', 5: 'John Oliver', 6: "Conan O'Brien", 7: 'Bill Maher', 8: 'Seth Meyers'}, 'Very favorable': {0: '25%', 1: '23%', 2: '23%', 3: '20%', 4: '17%', 5: '15%', 6: '13%', 7: '13%', 8: '10%'}, 'Somewhat favorable': {0: '26%', 1: '40%', 2: '26%', 3: '37%', 4: '42%', 5: '17%', 6: '38%', 7: '23%', 8: '31%'}, 'Somewhat unfavorable': {0: '13%', 1: '13%', 2: '14%', 3: '19%', 4: '15%', 5: '12%', 6: '20%', 7: '16%', 8: '15%'}, 'Very unfavorable': {0: '12%', 1: '5%', 2: '11%', 3: '11%', 4: '5%', 5: '6%', 6: '9%', 7: '21%', 8: '5%'}, "Don't know": {0: '25%', 1: '19%', 2: '26%', 3: '13%', 4: '21%', 5: '50%', 6: '19%', 7: '27%', 8: '39%'}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 136, 'y': 35, 'w': 574, 'h': 298}}, 'y_axis': {'label': {'bbox': [{'x': 375, 'y': 364, 'w': 95.625, 'h': 11}], 'text': 'Share of respondents'}, 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"two_col_22013.png"	true	"What was Ecuador's gross domestic product in 2019?"	[]	"108.11"	"two_col_22013.csv"	"{'Characteristic': {0: '2026', 1: '2025', 2: '2024', 3: '2023', 4: '2022', 5: '2021', 6: '2020*', 7: '2019', 8: '2018', 9: '2017', 10: '2016', 11: '2015', 12: '2014', 13: '2013', 14: '2012', 15: '2011', 16: '2010', 17: '2009', 18: '2008', 19: '2007', 20: '2006', 21: '2005', 22: '2004', 23: '2003', 24: '2002', 25: '2001', 26: '2000', 27: '1999', 28: '1998', 29: '1997', 30: '1996', 31: '1995', 32: '1994', 33: '1993', 34: '1992', 35: '1991', 36: '1990', 37: '1989', 38: '1988', 39: '1987', 40: '1986'}, 'Gross domestic product in billion U.S. dollars': {0: 118.05, 1: 113.91, 2: 110.13, 3: 106.81, 4: 103.87, 5: 100.6, 6: 96.67, 7: 108.11, 8: 107.56, 9: 104.3, 10: 99.94, 11: 99.29, 12: 101.73, 13: 95.13, 14: 87.93, 15: 79.28, 16: 69.56, 17: 62.52, 18: 61.76, 19: 51.01, 20: 46.8, 21: 41.51, 22: 36.59, 23: 32.43, 24: 28.55, 25: 24.47, 26: 18.32, 27: 19.74, 28: 27.47, 29: 27.01, 30: 24.04, 31: 22.97, 32: 21.15, 33: 17.54, 34: 15.01, 35: 13.73, 36: 12.24, 37: 12.05, 38: 12.28, 39: 12.91, 40: 13.82}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 94, 'y': 95, 'w': 631, 'h': 369}}, 'y_axis': {'label': {'bbox': [{'x': 40, 'y': 180, 'w': 11, 'h': 198.984375}], 'text': 'Gross domestic product in billion U.S. dollars'}, 'major_labels': {'bboxes': [{'x': 65, 'y': 449.5, 'w': 19.0, 'h': 32.714285714285715}, {'x': 65, 'y': 388.5, 'w': 19.0, 'h': 32.714285714285715}, {'x': 65, 'y': 326.5, 'w': 19.0, 'h': 32.714285714285715}, {'x': 65, 'y': 265.5, 'w': 19.0, 'h': 32.714285714285715}, {'x': 65, 'y': 203.5, 'w': 19.0, 'h': 32.714285714285715}, {'x': 65, 'y': 142.5, 'w': 19.0, 'h': 32.714285714285715}, {'x': 65, 'y': 79.5, 'w': 19.0, 'h': 32.714285714285715}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 80, 'y': 477, 'h': 25.798370361328125, 'w': 25.798351287841797}, {'x': 111, 'y': 477, 'h': 25.79833984375, 'w': 25.798355102539062}, {'x': 141, 'y': 477, 'h': 25.798370361328125, 'w': 25.79834747314453}, {'x': 172, 'y': 477, 'h': 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'1988', '1990', '1992', '1994', '1996', '1998', '2000', '2002', '2004', '2006', '2008', '2010', '2012', '2014', '2016', '2018', '2020', '2022', '2024', '2026'], 'y': ['13.82', '12.91', '12.28', '12.05', '12.24', '13.73', '15.01', '17.54', '21.15', '22.97', '24.04', '27.01', '27.47', '19.74', '18.32', '24.47', '28.55', '32.43', '36.59', '41.51', '46.8', '51.01', '61.76', '62.52', '69.56', '79.28', '87.93', '95.13', '101.73', '99.29', '99.94', '104.3', '107.56', '108.11', '96.67', '100.6', '103.87', '106.81', '110.13', '113.91', '118.05'], 'label': ' ', 'color': '#2876dd'}], 'type': 'line'}"
"two_col_23347.png"	true	"How much money did Kimberly-Clark generate with baby and child care products in the fiscal year 2020?"	[]	"6.4"	"two_col_23347.csv"	"{'Characteristic': {0: 2020, 1: 2019, 2: 2018, 3: 2017, 4: 2016, 5: 2015, 6: 2014, 7: 2013, 8: 2012, 9: 2011}, 'Sales in billion U.S. dollars': {0: 6.4, 1: 6.3, 2: 6.3, 3: 6.3, 4: 6.4, 5: 6.6, 6: 7.0, 7: 7.0, 8: 7.1, 9: 6.8}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 82, 'y': 45, 'w': 643, 'h': 392}}, 'y_axis': {'label': {'bbox': [{'x': 40, 'y': 182, 'w': 11, 'h': 118.390625}], 'text': 'Sales in billion U.S. dollars'}, 'major_labels': {'bboxes': [{'x': 65, 'y': 422.5, 'w': 7.0, 'h': 23.555555555555557}, {'x': 65, 'y': 373.5, 'w': 7.0, 'h': 23.555555555555557}, {'x': 65, 'y': 324.5, 'w': 7.0, 'h': 23.555555555555557}, {'x': 65, 'y': 275.5, 'w': 7.0, 'h': 23.555555555555557}, {'x': 65, 'y': 226.5, 'w': 7.0, 'h': 23.555555555555557}, {'x': 65, 'y': 177.5, 'w': 7.0, 'h': 23.555555555555557}, {'x': 65, 'y': 128.5, 'w': 7.0, 'h': 23.555555555555557}, {'x': 65, 'y': 79.5, 'w': 7.0, 'h': 23.555555555555557}, {'x': 65, 'y': 29.5, 'w': 7.0, 'h': 23.555555555555557}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 102, 'y': 447, 'h': 12, 'w': 23.65625}, {'x': 166, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 231, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 295, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 359, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 423, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 488, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 552, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 616, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 681, 'y': 447, 'h': 12, 'w': 24.484375}], 'values': ['2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020']}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 92, 'y': 105, 'w': 44, 'h': 333}, {'x': 156, 'y': 90, 'w': 44, 'h': 348}, {'x': 221, 'y': 95, 'w': 44, 'h': 343}, {'x': 285, 'y': 95, 'w': 44, 'h': 343}, {'x': 349, 'y': 115, 'w': 44, 'h': 323}, {'x': 414, 'y': 124, 'w': 44, 'h': 314}, {'x': 478, 'y': 129, 'w': 44, 'h': 309}, {'x': 542, 'y': 129, 'w': 44, 'h': 309}, {'x': 607, 'y': 129, 'w': 44, 'h': 309}, {'x': 671, 'y': 124, 'w': 44, 'h': 314}], 'x': ['2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020'], 'y': ['6.8', '7.1', '7', '7', '6.6', '6.4', '6.3', '6.3', '6.3', '6.4'], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020']}], 'type': 'v_bar'}"
"multi_col_80746.png"	true	"What was the male population of Gabon in 2019?"	[]	"1.11"	"multi_col_80746.csv"	"{'Characteristic': {0: 2019, 1: 2018, 2: 2017, 3: 2016, 4: 2015, 5: 2014, 6: 2013, 7: 2012, 8: 2011, 9: 2010, 10: 2009}, 'Female': {0: 1.07, 1: 1.04, 2: 1.01, 3: 0.99, 4: 0.96, 5: 0.93, 6: 0.89, 7: 0.86, 8: 0.83, 9: 0.8, 10: 0.78}, 'Male': {0: 1.11, 1: 1.08, 2: 1.05, 3: 1.02, 4: 0.99, 5: 0.96, 6: 0.92, 7: 0.89, 8: 0.85, 9: 0.82, 10: 0.79}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 101, 'y': 47, 'w': 626, 'h': 333}}, 'y_axis': {'label': {'bbox': [{'x': 42, 'y': 166, 'w': 11, 'h': 95.609375}], 'text': 'Inhabitants in millions'}, 'major_labels': {'bboxes': [{'x': 69, 'y': 363.5, 'w': 22.0, 'h': 17.0}, {'x': 69, 'y': 321.5, 'w': 22.0, 'h': 17.0}, {'x': 69, 'y': 280.5, 'w': 22.0, 'h': 17.0}, {'x': 69, 'y': 238.5, 'w': 22.0, 'h': 17.0}, {'x': 69, 'y': 197.5, 'w': 22.0, 'h': 17.0}, {'x': 69, 'y': 155.5, 'w': 22.0, 'h': 17.0}, {'x': 69, 'y': 113.5, 'w': 22.0, 'h': 17.0}, {'x': 69, 'y': 72.5, 'w': 22.0, 'h': 17.0}, {'x': 69, 'y': 29.5, 'w': 22.0, 'h': 17.0}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 117, 'y': 390, 'h': 12, 'w': 24.484375}, {'x': 174, 'y': 390, 'h': 12, 'w': 24.484375}, {'x': 231, 'y': 390, 'h': 12, 'w': 23.65625}, {'x': 288, 'y': 390, 'h': 12, 'w': 24.484375}, {'x': 345, 'y': 390, 'h': 12, 'w': 24.484375}, {'x': 402, 'y': 390, 'h': 12, 'w': 24.484375}, {'x': 459, 'y': 390, 'h': 12, 'w': 24.484375}, {'x': 516, 'y': 390, 'h': 12, 'w': 24.484375}, {'x': 572, 'y': 390, 'h': 12, 'w': 24.484375}, {'x': 629, 'y': 390, 'h': 12, 'w': 24.484375}, {'x': 686, 'y': 390, 'h': 12, 'w': 24.484375}], 'values': ['2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019']}, 'label': {}}, 'legend': {'bbox': {'x': 312, 'y': 418, 'w': 140, 'h': 34}, 'items': [{'model': 'Female', 'label': {'bbox': {'x': 341, 'y': 430, 'w': 41.681640625, 'h': 14}, 'text': 'Female'}, 'preview': {'bbox': {'x': 320, 'y': 437, 'w': 16, 'h': 0}}}, {'model': 'Male', 'label': {'bbox': {'x': 416, 'y': 430, 'w': 27.00390625, 'h': 14}, 'text': 'Male'}, 'preview': {'bbox': {'x': 395, 'y': 437, 'w': 16, 'h': 0}}}]}}, 'models': [{'name': 'Female', 'bboxes': [{'x': 128, 'y': 337, 'w': 57, 'h': 17}, {'x': 185, 'y': 312, 'w': 57, 'h': 25}, {'x': 242, 'y': 287, 'w': 57, 'h': 25}, {'x': 299, 'y': 262, 'w': 57, 'h': 25}, {'x': 356, 'y': 229, 'w': 57, 'h': 33}, {'x': 413, 'y': 204, 'w': 56, 'h': 25}, {'x': 469, 'y': 179, 'w': 57, 'h': 25}, {'x': 526, 'y': 163, 'w': 57, 'h': 16}, {'x': 583, 'y': 138, 'w': 57, 'h': 25}, {'x': 640, 'y': 113, 'w': 57, 'h': 25}], 'colors': '#2876dd', 'y': ['0.78', '0.8', '0.83', '0.86', '0.89', '0.93', '0.96', '0.99', '1.01', '1.04', '1.07'], 'labels': ['2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019'], 'x': ['2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019']}, {'name': 'Male', 'bboxes': [{'x': 128, 'y': 321, 'w': 57, 'h': 25}, {'x': 185, 'y': 296, 'w': 57, 'h': 25}, {'x': 242, 'y': 262, 'w': 57, 'h': 34}, {'x': 299, 'y': 237, 'w': 57, 'h': 25}, {'x': 356, 'y': 204, 'w': 57, 'h': 33}, {'x': 413, 'y': 179, 'w': 56, 'h': 25}, {'x': 469, 'y': 154, 'w': 57, 'h': 25}, {'x': 526, 'y': 129, 'w': 57, 'h': 25}, {'x': 583, 'y': 104, 'w': 57, 'h': 25}, {'x': 640, 'y': 79, 'w': 57, 'h': 25}], 'colors': '#0f283e', 'y': ['0.79', '0.82', '0.85', '0.89', '0.92', '0.96', '0.99', '1.02', '1.05', '1.08', '1.11'], 'labels': ['2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019'], 'x': ['2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019']}], 'type': 'line'}"
"multi_col_80746.png"	true	"What was Gabon's female population in 2019?"	[]	"1.07"	"multi_col_80746.csv"	"{'Characteristic': {0: 2019, 1: 2018, 2: 2017, 3: 2016, 4: 2015, 5: 2014, 6: 2013, 7: 2012, 8: 2011, 9: 2010, 10: 2009}, 'Female': {0: 1.07, 1: 1.04, 2: 1.01, 3: 0.99, 4: 0.96, 5: 0.93, 6: 0.89, 7: 0.86, 8: 0.83, 9: 0.8, 10: 0.78}, 'Male': {0: 1.11, 1: 1.08, 2: 1.05, 3: 1.02, 4: 0.99, 5: 0.96, 6: 0.92, 7: 0.89, 8: 0.85, 9: 0.82, 10: 0.79}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 101, 'y': 47, 'w': 626, 'h': 333}}, 'y_axis': {'label': {'bbox': [{'x': 42, 'y': 166, 'w': 11, 'h': 95.609375}], 'text': 'Inhabitants in millions'}, 'major_labels': {'bboxes': [{'x': 69, 'y': 363.5, 'w': 22.0, 'h': 17.0}, {'x': 69, 'y': 321.5, 'w': 22.0, 'h': 17.0}, {'x': 69, 'y': 280.5, 'w': 22.0, 'h': 17.0}, {'x': 69, 'y': 238.5, 'w': 22.0, 'h': 17.0}, {'x': 69, 'y': 197.5, 'w': 22.0, 'h': 17.0}, {'x': 69, 'y': 155.5, 'w': 22.0, 'h': 17.0}, {'x': 69, 'y': 113.5, 'w': 22.0, 'h': 17.0}, {'x': 69, 'y': 72.5, 'w': 22.0, 'h': 17.0}, {'x': 69, 'y': 29.5, 'w': 22.0, 'h': 17.0}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 117, 'y': 390, 'h': 12, 'w': 24.484375}, {'x': 174, 'y': 390, 'h': 12, 'w': 24.484375}, {'x': 231, 'y': 390, 'h': 12, 'w': 23.65625}, {'x': 288, 'y': 390, 'h': 12, 'w': 24.484375}, {'x': 345, 'y': 390, 'h': 12, 'w': 24.484375}, {'x': 402, 'y': 390, 'h': 12, 'w': 24.484375}, {'x': 459, 'y': 390, 'h': 12, 'w': 24.484375}, {'x': 516, 'y': 390, 'h': 12, 'w': 24.484375}, {'x': 572, 'y': 390, 'h': 12, 'w': 24.484375}, {'x': 629, 'y': 390, 'h': 12, 'w': 24.484375}, {'x': 686, 'y': 390, 'h': 12, 'w': 24.484375}], 'values': ['2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019']}, 'label': {}}, 'legend': {'bbox': {'x': 312, 'y': 418, 'w': 140, 'h': 34}, 'items': [{'model': 'Female', 'label': {'bbox': {'x': 341, 'y': 430, 'w': 41.681640625, 'h': 14}, 'text': 'Female'}, 'preview': {'bbox': {'x': 320, 'y': 437, 'w': 16, 'h': 0}}}, {'model': 'Male', 'label': {'bbox': {'x': 416, 'y': 430, 'w': 27.00390625, 'h': 14}, 'text': 'Male'}, 'preview': {'bbox': {'x': 395, 'y': 437, 'w': 16, 'h': 0}}}]}}, 'models': [{'name': 'Female', 'bboxes': [{'x': 128, 'y': 337, 'w': 57, 'h': 17}, {'x': 185, 'y': 312, 'w': 57, 'h': 25}, {'x': 242, 'y': 287, 'w': 57, 'h': 25}, {'x': 299, 'y': 262, 'w': 57, 'h': 25}, {'x': 356, 'y': 229, 'w': 57, 'h': 33}, {'x': 413, 'y': 204, 'w': 56, 'h': 25}, {'x': 469, 'y': 179, 'w': 57, 'h': 25}, {'x': 526, 'y': 163, 'w': 57, 'h': 16}, {'x': 583, 'y': 138, 'w': 57, 'h': 25}, {'x': 640, 'y': 113, 'w': 57, 'h': 25}], 'colors': '#2876dd', 'y': ['0.78', '0.8', '0.83', '0.86', '0.89', '0.93', '0.96', '0.99', '1.01', '1.04', '1.07'], 'labels': ['2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019'], 'x': ['2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019']}, {'name': 'Male', 'bboxes': [{'x': 128, 'y': 321, 'w': 57, 'h': 25}, {'x': 185, 'y': 296, 'w': 57, 'h': 25}, {'x': 242, 'y': 262, 'w': 57, 'h': 34}, {'x': 299, 'y': 237, 'w': 57, 'h': 25}, {'x': 356, 'y': 204, 'w': 57, 'h': 33}, {'x': 413, 'y': 179, 'w': 56, 'h': 25}, {'x': 469, 'y': 154, 'w': 57, 'h': 25}, {'x': 526, 'y': 129, 'w': 57, 'h': 25}, {'x': 583, 'y': 104, 'w': 57, 'h': 25}, {'x': 640, 'y': 79, 'w': 57, 'h': 25}], 'colors': '#0f283e', 'y': ['0.79', '0.82', '0.85', '0.89', '0.92', '0.96', '0.99', '1.02', '1.05', '1.08', '1.11'], 'labels': ['2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019'], 'x': ['2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019']}], 'type': 'line'}"
"multi_col_20197.png"	true	"What was the revenue of Manpower Group in Asia, the Pacific, and the Middle East in 2020?"	[]	"2.38"	"multi_col_20197.csv"	"{'Characteristic': {0: 2020, 1: 2019, 2: 2018, 3: 2017, 4: 2016, 5: 2015, 6: 2014, 7: 2013, 8: 2012, 9: 2011}, 'Southern Europe': {0: 7.86, 1: 9.17, 2: 9.37, 3: 8.66, 4: 7.5, 5: 6.87, 6: 7.51, 7: 7.24, 8: 7.25, 9: 8.21}, 'Northern Europe': {0: 3.98, 1: 4.69, 2: 5.37, 3: 5.31, 4: 5.13, 5: 5.45, 6: 6.05, 7: 5.74, 8: 5.77, 9: 6.16}, 'Americas': {0: 3.79, 1: 4.18, 2: 4.16, 3: 4.22, 4: 4.3, 5: 4.49, 6: 4.58, 7: 4.51, 8: 4.6, 9: 4.45}, 'Asia Pacific & Middle East': {0: 2.38, 1: 2.63, 2: 2.89, 3: 2.64, 4: 2.47, 5: 2.24, 6: 2.33, 7: 2.45, 8: 2.73, 9: 2.66}, 'Right Management': {0: '-', 1: '0.2', 2: '0.2', 3: '0.22', 4: '0.26', 5: '0.27', 6: '0.29', 7: '0.32', 8: '0.33', 9: '0.32'}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 89, 'y': 45, 'w': 636, 'h': 310}}, 'y_axis': {'label': {'bbox': [{'x': 40, 'y': 133, 'w': 11, 'h': 133.40625}], 'text': 'Revenue in billion U.S. dollars'}, 'major_labels': {'bboxes': [{'x': 65, 'y': 340.5, 'w': 14.0, 'h': 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[{'model': 'Southern Europe', 'label': {'bbox': {'x': 127, 'y': 405, 'w': 97.662109375, 'h': 14}, 'text': 'Southern Europe'}, 'preview': {'bbox': {'x': 108, 'y': 405, 'w': 12, 'h': 12}}}, {'model': 'Northern Europe', 'label': {'bbox': {'x': 313, 'y': 405, 'w': 95.6640625, 'h': 14}, 'text': 'Northern Europe'}, 'preview': {'bbox': {'x': 294, 'y': 405, 'w': 12, 'h': 12}}}, {'model': 'Americas', 'label': {'bbox': {'x': 500, 'y': 405, 'w': 54.361328125, 'h': 14}, 'text': 'Americas'}, 'preview': {'bbox': {'x': 481, 'y': 405, 'w': 12, 'h': 12}}}, {'model': 'Asia Pacific & Middle East', 'label': {'bbox': {'x': 127, 'y': 428, 'w': 149.390625, 'h': 14}, 'text': 'Asia Pacific & Middle East'}, 'preview': {'bbox': {'x': 108, 'y': 428, 'w': 12, 'h': 12}}}, {'model': 'Right Management', 'label': {'bbox': {'x': 313, 'y': 428, 'w': 107.34375, 'h': 14}, 'text': 'Right Management'}, 'preview': {'bbox': {'x': 294, 'y': 428, 'w': 12, 'h': 12}}}]}}, 'models': [{'name': 'Southern Europe', 'bboxes': [{'x': 95, 'y': 253, 'w': 50, 'h': 102}, {'x': 159, 'y': 265, 'w': 50, 'h': 90}, {'x': 223, 'y': 265, 'w': 50, 'h': 90}, {'x': 287, 'y': 263, 'w': 50, 'h': 93}, {'x': 351, 'y': 271, 'w': 50, 'h': 85}, {'x': 413, 'y': 263, 'w': 50, 'h': 93}, {'x': 477, 'y': 249, 'w': 50, 'h': 107}, {'x': 541, 'y': 239, 'w': 50, 'h': 116}, {'x': 605, 'y': 241, 'w': 50, 'h': 114}, {'x': 669, 'y': 259, 'w': 50, 'h': 97}], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'y': ['8.21', '7.25', '7.24', '7.51', '6.87', '7.5', '8.66', '9.37', '9.17', '7.86'], 'labels': ['2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020'], 'x': ['2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020']}, {'name': 'Northern Europe', 'bboxes': [{'x': 95, 'y': 177, 'w': 50, 'h': 76}, {'x': 159, 'y': 195, 'w': 50, 'h': 71}, {'x': 223, 'y': 195, 'w': 50, 'h': 71}, {'x': 287, 'y': 187, 'w': 50, 'h': 75}, {'x': 351, 'y': 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'y': ['2.66', '2.73', '2.45', '2.33', '2.24', '2.47', '2.64', '2.89', '2.63', '2.38'], 'labels': ['2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020'], 'x': ['2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020']}, {'name': 'Right Management', 'bboxes': [{'x': 95, 'y': 85, 'w': 50, 'h': 4}, {'x': 159, 'y': 99, 'w': 50, 'h': 4}, {'x': 223, 'y': 105, 'w': 50, 'h': 4}, {'x': 287, 'y': 99, 'w': 50, 'h': 3}, {'x': 351, 'y': 115, 'w': 50, 'h': 4}, {'x': 413, 'y': 111, 'w': 50, 'h': 3}, {'x': 477, 'y': 95, 'w': 50, 'h': 3}, {'x': 541, 'y': 83, 'w': 50, 'h': 3}, {'x': 605, 'y': 97, 'w': 50, 'h': 3}], 'colors': ['#87bc24', '#87bc24', '#87bc24', '#87bc24', '#87bc24', '#87bc24', '#87bc24', '#87bc24', '#87bc24'], 'y': ['0.32', '0.33', '0.32', '0.29', '0.27', '0.26', '0.22', '0.2', '0.2', '-'], 'labels': ['2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020'], 'x': ['2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020']}], 'type': 'v_bar'}"
"two_col_40758.png"	true	"What was the leading youtube channel in Argentina as of March 2021?"	[]	"El Reino Infantil"	"two_col_40758.csv"	"{'Characteristic': {0: 'El Reino Infantil', 1: 'La Granja de Zenón', 2: 'TheDonato', 3: 'DrossRotzank', 4: 'Disney'}, 'Number of subscribers in millions': {0: 40.7, 1: 25.5, 2: 23.3, 3: 21.1, 4: 17.8}}"	"{'general_figure_info': {}, 'models': {}, 'type': 'h_bar'}"
"two_col_40758.png"	true	"How many subscribers did La Granja de Zen3n have?"	[]	"25.5"	"two_col_40758.csv"	"{'Characteristic': {0: 'El Reino Infantil', 1: 'La Granja de Zenón', 2: 'TheDonato', 3: 'DrossRotzank', 4: 'Disney'}, 'Number of subscribers in millions': {0: 40.7, 1: 25.5, 2: 23.3, 3: 21.1, 4: 17.8}}"	"{'general_figure_info': {}, 'models': {}, 'type': 'h_bar'}"
"two_col_40758.png"	true	"How many subscribers did El Reino Infantil have as of March 2021?"	[]	"40.7"	"two_col_40758.csv"	"{'Characteristic': {0: 'El Reino Infantil', 1: 'La Granja de Zenón', 2: 'TheDonato', 3: 'DrossRotzank', 4: 'Disney'}, 'Number of subscribers in millions': {0: 40.7, 1: 25.5, 2: 23.3, 3: 21.1, 4: 17.8}}"	"{'general_figure_info': {}, 'models': {}, 'type': 'h_bar'}"
"two_col_103991.png"	true	"How many ACSI points was customer satisfaction with internet brokerage measured with in 2020?"	[]	"78"	"two_col_103991.csv"	"{'Characteristic': {0: 2020, 1: 2019, 2: 2018, 3: 2017, 4: 2016, 5: 2015, 6: 2014, 7: 2013, 8: 2012, 9: 2011, 10: 2010, 11: 2009, 12: 2008, 13: 2007, 14: 2006, 15: 2005, 16: 2004, 17: 2003, 18: 2002, 19: 2001, 20: 2000}, 'ACSI score (100-point scale)': {0: 78, 1: 81, 2: 79, 3: 79, 4: 80, 5: 76, 6: 82, 7: 80, 8: 78, 9: 76, 10: 78, 11: 78, 12: 74, 13: 79, 14: 78, 15: 76, 16: 75, 17: 76, 18: 73, 19: 69, 20: 72}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 99, 'y': 45, 'w': 626, 'h': 373}}, 'y_axis': {'label': {'bbox': [{'x': 40, 'y': 168, 'w': 11, 'h': 127.84375}], 'text': 'ACSI score (100-point scale)'}, 'major_labels': {'bboxes': [{'x': 65, 'y': 403.5, 'w': 24.0, 'h': 26.625}, {'x': 65, 'y': 350.5, 'w': 24.0, 'h': 26.625}, {'x': 65, 'y': 296.5, 'w': 24.0, 'h': 26.625}, {'x': 65, 'y': 243.5, 'w': 24.0, 'h': 26.625}, {'x': 65, 'y': 190.5, 'w': 24.0, 'h': 26.625}, {'x': 65, 'y': 137.5, 'w': 24.0, 'h': 26.625}, {'x': 65, 'y': 83.5, 'w': 24.0, 'h': 26.625}, {'x': 65, 'y': 29.5, 'w': 24.0, 'h': 26.625}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 92, 'y': 431, 'h': 25.798370361328125, 'w': 25.79834747314453}, {'x': 122, 'y': 431, 'h': 25.798370361328125, 'w': 25.79834747314453}, {'x': 152, 'y': 431, 'h': 25.798370361328125, 'w': 25.79834747314453}, {'x': 182, 'y': 431, 'h': 25.798370361328125, 'w': 25.798355102539062}, {'x': 211, 'y': 431, 'h': 25.798370361328125, 'w': 25.798355102539062}, {'x': 241, 'y': 431, 'h': 25.798370361328125, 'w': 25.798355102539062}, {'x': 271, 'y': 431, 'h': 25.798370361328125, 'w': 25.798355102539062}, {'x': 301, 'y': 431, 'h': 25.798370361328125, 'w': 25.79833984375}, {'x': 331, 'y': 431, 'h': 25.798370361328125, 'w': 25.79833984375}, {'x': 360, 'y': 431, 'h': 25.798370361328125, 'w': 25.79833984375}, {'x': 390, 'y': 431, 'h': 25.798370361328125, 'w': 25.79833984375}, {'x': 421, 'y': 431, 'h': 25.2127685546875, 'w': 25.2127685546875}, {'x': 450, 'y': 431, 'h': 25.798370361328125, 'w': 25.79833984375}, {'x': 480, 'y': 431, 'h': 25.798370361328125, 'w': 25.79833984375}, {'x': 509, 'y': 431, 'h': 25.798370361328125, 'w': 25.79833984375}, {'x': 539, 'y': 431, 'h': 25.798370361328125, 'w': 25.79833984375}, {'x': 569, 'y': 431, 'h': 25.798370361328125, 'w': 25.79833984375}, {'x': 599, 'y': 431, 'h': 25.798370361328125, 'w': 25.79833984375}, {'x': 629, 'y': 431, 'h': 25.798370361328125, 'w': 25.79833984375}, {'x': 658, 'y': 431, 'h': 25.798370361328125, 'w': 25.79833984375}, {'x': 688, 'y': 431, 'h': 25.798370361328125, 'w': 25.79833984375}], 'values': ['2000', '2001', '2002', '2003', '2004', '2005', '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020']}, 'label': {}}}, 'models': [{'name': 'line', 'bboxes': [{'x': 114, 'y': 323, 'w': 30, 'h': 64}, {'x': 144, 'y': 302, 'w': 30, 'h': 85}, {'x': 174, 'y': 238, 'w': 30, 'h': 64}, {'x': 204, 'y': 238, 'w': 30, 'h': 21}, {'x': 234, 'y': 238, 'w': 29, 'h': 21}, {'x': 263, 'y': 195, 'w': 30, 'h': 43}, {'x': 293, 'y': 174, 'w': 30, 'h': 21}, {'x': 323, 'y': 174, 'w': 30, 'h': 106}, {'x': 353, 'y': 195, 'w': 30, 'h': 85}, {'x': 383, 'y': 195, 'w': 30, 'h': 0}, {'x': 413, 'y': 195, 'w': 29, 'h': 43}, {'x': 442, 'y': 195, 'w': 30, 'h': 43}, {'x': 472, 'y': 153, 'w': 30, 'h': 42}, {'x': 502, 'y': 110, 'w': 30, 'h': 43}, {'x': 532, 'y': 110, 'w': 30, 'h': 128}, {'x': 562, 'y': 153, 'w': 29, 'h': 85}, {'x': 591, 'y': 153, 'w': 30, 'h': 21}, {'x': 621, 'y': 174, 'w': 30, 'h': 0}, {'x': 651, 'y': 131, 'w': 30, 'h': 43}, {'x': 681, 'y': 131, 'w': 30, 'h': 64}], 'x': ['2000', '2001', '2002', '2003', '2004', '2005', '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019', '2020'], 'y': ['72', '69', '73', '76', '75', '76', '78', '79', '74', '78', '78', '76', '78', '80', '82', '76', '80', '79', '79', '81', '78'], 'label': ' ', 'color': '#2876dd'}], 'type': 'line'}"
"two_col_62719.png"	true	"Who was the most significant donor to the Romney campagin?"	[]	"Goldman Sachs"	"two_col_62719.csv"	"{'Characteristic': {0: 'Goldman Sachs', 1: 'JPMorgan Chase & Co', 2: 'Morgan Stanley', 3: 'Bank of America', 4: 'Credit Suisse Group', 5: 'Citigroup Inc', 6: 'Barclays', 7: 'Wells Fargo', 8: 'Kirkland & Ellis', 9: 'Deloitte LLP', 10: 'PricewaterhouseCoopers', 11: 'UBS AG', 12: 'HIG Capital', 13: 'Blackstone Group', 14: 'Bain Capital', 15: 'Elliott Management', 16: 'General Electric', 17: 'Ernst & Young', 18: 'Marriott International', 19: 'Bain & Co'}, 'Amount contributed in U.S. dollars': {0: '676,080$', 1: '520,299$', 2: '513,647$', 3: '510,728$', 4: '427,560$', 5: '363,015$', 6: '349,400$', 7: '320,025$', 8: '309,042$', 9: '286,110$', 10: '266,650$', 11: '259,200$', 12: '220,495$', 13: '219,525$', 14: '172,500$', 15: '172,475$', 16: '158,800$', 17: '156,425$', 18: '154,837$', 19: '145,800$'}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 180, 'y': 35, 'w': 530, 'h': 750}}, 'y_axis': {'label': {'bbox': [{'x': 369, 'y': 816, 'w': 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"two_col_62719.png"	true	"What company came in second on the list of the most significant donors to the Romney campaign?"	[]	"JPMorgan Chase & Co"	"two_col_62719.csv"	"{'Characteristic': {0: 'Goldman Sachs', 1: 'JPMorgan Chase & Co', 2: 'Morgan Stanley', 3: 'Bank of America', 4: 'Credit Suisse Group', 5: 'Citigroup Inc', 6: 'Barclays', 7: 'Wells Fargo', 8: 'Kirkland & Ellis', 9: 'Deloitte LLP', 10: 'PricewaterhouseCoopers', 11: 'UBS AG', 12: 'HIG Capital', 13: 'Blackstone Group', 14: 'Bain Capital', 15: 'Elliott Management', 16: 'General Electric', 17: 'Ernst & Young', 18: 'Marriott International', 19: 'Bain & Co'}, 'Amount contributed in U.S. dollars': {0: '676,080$', 1: '520,299$', 2: '513,647$', 3: '510,728$', 4: '427,560$', 5: '363,015$', 6: '349,400$', 7: '320,025$', 8: '309,042$', 9: '286,110$', 10: '266,650$', 11: '259,200$', 12: '220,495$', 13: '219,525$', 14: '172,500$', 15: '172,475$', 16: '158,800$', 17: '156,425$', 18: '154,837$', 19: '145,800$'}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 180, 'y': 35, 'w': 530, 'h': 750}}, 'y_axis': {'label': {'bbox': [{'x': 369, 'y': 816, 'w': 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"two_col_42542.png"	true	"What was the average price paid for poultry meat in British pounds in 2012?"	[]	"4.45"	"two_col_42542.csv"	"{'Characteristic': {0: 2015, 1: 2014, 2: 2013, 3: 2012, 4: 2011, 5: 2010, 6: 2009, 7: 2008, 8: 2007, 9: 2006, 10: 2005}, 'Average price per kilogram (in GBP)': {0: 4.54, 1: 4.74, 2: 4.75, 3: 4.45, 4: 4.45, 5: 4.14, 6: 4.06, 7: 3.89, 8: 3.55, 9: 3.37, 10: 3.37}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 82, 'y': 45, 'w': 643, 'h': 392}}, 'y_axis': {'label': {'bbox': [{'x': 40, 'y': 161, 'w': 11, 'h': 160.4375}], 'text': 'Average price per kilogram (in GBP)'}, 'major_labels': {'bboxes': [{'x': 65, 'y': 422.5, 'w': 7.0, 'h': 36.0}, {'x': 65, 'y': 357.5, 'w': 7.0, 'h': 36.0}, {'x': 65, 'y': 291.5, 'w': 7.0, 'h': 36.0}, {'x': 65, 'y': 226.5, 'w': 7.0, 'h': 36.0}, {'x': 65, 'y': 161.5, 'w': 7.0, 'h': 36.0}, {'x': 65, 'y': 95.5, 'w': 7.0, 'h': 36.0}, {'x': 65, 'y': 29.5, 'w': 7.0, 'h': 36.0}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 99, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 157, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 216, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 274, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 333, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 391, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 450, 'y': 447, 'h': 12, 'w': 23.65625}, {'x': 508, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 567, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 625, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 684, 'y': 447, 'h': 12, 'w': 24.484375}], 'values': ['2005', '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015']}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 91, 'y': 217, 'w': 40, 'h': 220}, {'x': 149, 'y': 217, 'w': 40, 'h': 220}, {'x': 207, 'y': 205, 'w': 40, 'h': 232}, {'x': 267, 'y': 183, 'w': 40, 'h': 254}, {'x': 325, 'y': 173, 'w': 40, 'h': 265}, {'x': 383, 'y': 167, 'w': 40, 'h': 270}, {'x': 441, 'y': 147, 'w': 40, 'h': 291}, {'x': 499, 'y': 147, 'w': 40, 'h': 291}, {'x': 559, 'y': 127, 'w': 40, 'h': 310}, {'x': 617, 'y': 127, 'w': 40, 'h': 310}, {'x': 675, 'y': 141, 'w': 40, 'h': 297}], 'x': ['2005', '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015'], 'y': ['3.37', '3.37', '3.55', '3.89', '4.06', '4.14', '4.45', '4.45', '4.75', '4.74', '4.54'], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['2005', '2006', '2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015']}], 'type': 'v_bar'}"
"two_col_61959.png"	true	"What was the average expenditure on outdoor furniture per consumer unit in the United States in 2019?"	[]	"28.47"	"two_col_61959.csv"	"{'Characteristic': {0: 2019, 1: 2018, 2: 2017, 3: 2016, 4: 2015, 5: 2014, 6: 2013, 7: 2012, 8: 2011, 9: 2010, 10: 2009, 11: 2008, 12: 2007}, 'Average annual expenditure in U.S. dollars': {0: 28.47, 1: 30.33, 2: 33.45, 3: 27.67, 4: 24.35, 5: 26.08, 6: 19.02, 7: 19.36, 8: 18.7, 9: 26.39, 10: 18.61, 11: 28.01, 12: 26.06}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 89, 'y': 45, 'w': 636, 'h': 392}}, 'y_axis': {'label': {'bbox': [{'x': 40, 'y': 146, 'w': 11, 'h': 189.9375}], 'text': 'Average annual expenditure in U.S. dollars'}, 'major_labels': {'bboxes': [{'x': 65, 'y': 422.5, 'w': 14.0, 'h': 23.555555555555557}, {'x': 65, 'y': 373.5, 'w': 14.0, 'h': 23.555555555555557}, {'x': 65, 'y': 324.5, 'w': 14.0, 'h': 23.555555555555557}, {'x': 65, 'y': 275.5, 'w': 14.0, 'h': 23.555555555555557}, {'x': 65, 'y': 226.5, 'w': 14.0, 'h': 23.555555555555557}, {'x': 65, 'y': 177.5, 'w': 14.0, 'h': 23.555555555555557}, {'x': 65, 'y': 128.5, 'w': 14.0, 'h': 23.555555555555557}, {'x': 65, 'y': 79.5, 'w': 14.0, 'h': 23.555555555555557}, {'x': 65, 'y': 29.5, 'w': 14.0, 'h': 23.555555555555557}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 101, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 150, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 199, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 248, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 297, 'y': 447, 'h': 12, 'w': 23.65625}, {'x': 346, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 395, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 444, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 493, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 542, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 590, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 639, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 688, 'y': 447, 'h': 12, 'w': 24.484375}], 'values': ['2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019']}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 97, 'y': 183, 'w': 34, 'h': 255}, {'x': 146, 'y': 164, 'w': 34, 'h': 274}, {'x': 195, 'y': 256, 'w': 34, 'h': 182}, {'x': 243, 'y': 179, 'w': 34, 'h': 259}, {'x': 292, 'y': 255, 'w': 34, 'h': 183}, {'x': 341, 'y': 248, 'w': 34, 'h': 190}, {'x': 390, 'y': 252, 'w': 34, 'h': 186}, {'x': 439, 'y': 182, 'w': 34, 'h': 256}, {'x': 488, 'y': 199, 'w': 34, 'h': 239}, {'x': 537, 'y': 167, 'w': 34, 'h': 271}, {'x': 586, 'y': 110, 'w': 34, 'h': 328}, {'x': 635, 'y': 141, 'w': 34, 'h': 297}, {'x': 684, 'y': 159, 'w': 34, 'h': 279}], 'x': ['2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019'], 'y': ['26.06', '28.01', '18.61', '26.39', '18.7', '19.36', '19.02', '26.08', '24.35', '27.67', '33.45', '30.33', '28.47'], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['2007', '2008', '2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019']}], 'type': 'v_bar'}"
"two_col_43195.png"	true	"How much electricity was generated in Malaysia in 2019?"	[]	"168.4"	"two_col_43195.csv"	"{'Characteristic': {0: 2019, 1: 2018, 2: 2017, 3: 2016, 4: 2015, 5: 2014, 6: 2013, 7: 2012}, 'Electricity in billion kilowatt hours': {0: 168.4, 1: 163.46, 2: 156.33, 3: 152.94, 4: 141.15, 5: 137.4, 6: 132.05, 7: 125.25}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 96, 'y': 45, 'w': 629, 'h': 392}}, 'y_axis': {'label': {'bbox': [{'x': 40, 'y': 168, 'w': 11, 'h': 145.625}], 'text': 'Electricity in billion kilowatt hours'}, 'major_labels': {'bboxes': [{'x': 65, 'y': 422.5, 'w': 21.0, 'h': 23.555555555555557}, {'x': 65, 'y': 373.5, 'w': 21.0, 'h': 23.555555555555557}, {'x': 65, 'y': 324.5, 'w': 21.0, 'h': 23.555555555555557}, {'x': 65, 'y': 275.5, 'w': 21.0, 'h': 23.555555555555557}, {'x': 65, 'y': 226.5, 'w': 21.0, 'h': 23.555555555555557}, {'x': 65, 'y': 177.5, 'w': 21.0, 'h': 23.555555555555557}, {'x': 65, 'y': 128.5, 'w': 21.0, 'h': 23.555555555555557}, {'x': 65, 'y': 79.5, 'w': 21.0, 'h': 23.555555555555557}, {'x': 65, 'y': 29.5, 'w': 21.0, 'h': 23.555555555555557}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 123, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 202, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 280, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 359, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 438, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 516, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 595, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 673, 'y': 447, 'h': 12, 'w': 24.484375}], 'values': ['2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019']}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 108, 'y': 193, 'w': 54, 'h': 245}, {'x': 187, 'y': 179, 'w': 54, 'h': 259}, {'x': 266, 'y': 169, 'w': 54, 'h': 269}, {'x': 344, 'y': 161, 'w': 54, 'h': 277}, {'x': 423, 'y': 138, 'w': 54, 'h': 300}, {'x': 502, 'y': 132, 'w': 54, 'h': 306}, {'x': 580, 'y': 118, 'w': 54, 'h': 320}, {'x': 659, 'y': 108, 'w': 54, 'h': 330}], 'x': ['2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019'], 'y': ['125.25', '132.05', '137.4', '141.15', '152.94', '156.33', '163.46', '168.4'], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019']}], 'type': 'v_bar'}"
"multi_col_80131.png"	true	"What was the biggest musical turnoff on Tastebuds.fm in 2011?"	[]	"Nickelback"	"multi_col_80131.csv"	"{'Characteristic': {0: 'Nickelback', 1: 'Justin Bieber', 2: 'Lady Gaga', 3: 'Ke$ha', 4: 'Coldplay'}, 'Men': {0: '11.8%', 1: '11.4%', 2: '9.8%', 3: '4%', 4: '5.1%'}, 'Women': {0: '14%', 1: '13%', 2: '9.7%', 3: '6.3%', 4: '4.8%'}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 117, 'y': 35, 'w': 593, 'h': 321}}, 'y_axis': {'label': {'bbox': [{'x': 366, 'y': 387, 'w': 95.625, 'h': 11}], 'text': 'Share of respondents'}, 'major_labels': {'bboxes': [{'x': 96.5, 'y': 362, 'w': 45.888888888888886, 'h': 26.0}, {'x': 170.5, 'y': 362, 'w': 45.888888888888886, 'h': 26.0}, {'x': 244.5, 'y': 362, 'w': 45.888888888888886, 'h': 26.0}, {'x': 318.5, 'y': 362, 'w': 45.888888888888886, 'h': 26.0}, {'x': 393.5, 'y': 362, 'w': 45.888888888888886, 'h': 26.0}, {'x': 467.5, 'y': 362, 'w': 45.888888888888886, 'h': 26.0}, {'x': 541.5, 'y': 362, 'w': 45.888888888888886, 'h': 26.0}, {'x': 615.5, 'y': 362, 'w': 45.888888888888886, 'h': 26.0}, {'x': 690.5, 'y': 362, 'w': 45.888888888888886, 'h': 26.0}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 51, 'y': 61, 'h': 12, 'w': 53.6845703125}, {'x': 40, 'y': 125, 'h': 12, 'w': 63.92529296875}, {'x': 50, 'y': 190, 'h': 12, 'w': 54.70068359375}, {'x': 72, 'y': 254, 'h': 12, 'w': 32.68994140625}, {'x': 61, 'y': 318, 'h': 12, 'w': 43.30224609375}], 'values': ['Nickelback', 'Justin Bieber', 'Lady Gaga', 'Ke$ha', 'Coldplay']}, 'label': {}}, 'legend': {'bbox': {'x': 303, 'y': 416, 'w': 139, 'h': 34}, 'items': [{'model': 'Women', 'label': {'bbox': {'x': 389, 'y': 428, 'w': 43.125, 'h': 14}, 'text': 'Women'}, 'preview': {'bbox': {'x': 370, 'y': 428, 'w': 12, 'h': 12}}}, {'model': 'Men', 'label': {'bbox': {'x': 332, 'y': 428, 'w': 24, 'h': 14}, 'text': 'Men'}, 'preview': {'bbox': {'x': 313, 'y': 428, 'w': 12, 'h': 12}}}]}}, 'models': [{'name': 'Women', 'bboxes': [{'x': 116, 'y': 42, 'w': 519, 'h': 24}, {'x': 116, 'y': 106, 'w': 482, 'h': 24}, {'x': 116, 'y': 170, 'w': 360, 'h': 24}, {'x': 116, 'y': 234, 'w': 233, 'h': 24}, {'x': 116, 'y': 299, 'w': 178, 'h': 24}], 'colors': ['#0f283e', '#0f283e', '#0f283e', '#0f283e', '#0f283e'], 'y': ['14%', '13%', '9.7%', '6.3%', '4.8%'], 'labels': ['Nickelback', 'Justin Bieber', 'Lady Gaga', 'Ke$ha', 'Coldplay'], 'x': ['Nickelback', 'Justin Bieber', 'Lady Gaga', 'Ke$ha', 'Coldplay']}, {'name': 'Men', 'bboxes': [{'x': 116, 'y': 68, 'w': 437, 'h': 24}, {'x': 116, 'y': 133, 'w': 423, 'h': 24}, {'x': 116, 'y': 197, 'w': 363, 'h': 24}, {'x': 116, 'y': 261, 'w': 148, 'h': 24}, {'x': 116, 'y': 325, 'w': 189, 'h': 24}], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'y': ['11.8%', '11.4%', '9.8%', '4%', '5.1%'], 'labels': ['Nickelback', 'Justin Bieber', 'Lady Gaga', 'Ke$ha', 'Coldplay'], 'x': ['Nickelback', 'Justin Bieber', 'Lady Gaga', 'Ke$ha', 'Coldplay']}], 'type': 'h_bar'}"
"two_col_62010.png"	true	"How many stories per month did brands with over 100 thousand followers post on average?"	[]	"14.46"	"two_col_62010.csv"	"{'Characteristic': {0: 'Under 5k followers', 1: '5k – 10k followers', 2: '10 k – 50k followers', 3: '50k – 100k followers', 4: 'Over 100k followers'}, 'Stories posted per month': {0: 3.0, 1: 4.01, 2: 7.26, 3: 10.36, 4: 14.46}}"	"{'general_figure_info': {}, 'models': {}, 'type': 'h_bar'}"
"two_col_42672.png"	true	"What was the infant mortality rate in Croatia in 2019?"	[]	"4.1"	"two_col_42672.csv"	"{'Characteristic': {0: 2019, 1: 2018, 2: 2017, 3: 2016, 4: 2015, 5: 2014, 6: 2013, 7: 2012, 8: 2011, 9: 2010, 10: 2009}, 'Deaths per 1,000 live births': {0: 4.1, 1: 4.1, 2: 4.1, 3: 4.2, 4: 4.2, 5: 4.2, 6: 4.3, 7: 4.4, 8: 4.5, 9: 4.7, 10: 4.8}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 81, 'y': 45, 'w': 644, 'h': 392}}, 'y_axis': {'label': {'bbox': [{'x': 40, 'y': 180, 'w': 11, 'h': 121.734375}], 'text': 'Deaths per 1,000 live births'}, 'major_labels': {'bboxes': [{'x': 65, 'y': 422.5, 'w': 6.0, 'h': 36.0}, {'x': 65, 'y': 357.5, 'w': 6.0, 'h': 36.0}, {'x': 65, 'y': 291.5, 'w': 6.0, 'h': 36.0}, {'x': 65, 'y': 226.5, 'w': 6.0, 'h': 36.0}, {'x': 65, 'y': 161.5, 'w': 6.0, 'h': 36.0}, {'x': 65, 'y': 95.5, 'w': 6.0, 'h': 36.0}, {'x': 65, 'y': 29.5, 'w': 6.0, 'h': 36.0}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 98, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 157, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 216, 'y': 447, 'h': 12, 'w': 23.65625}, {'x': 274, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 332, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 391, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 449, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 508, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 566, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 625, 'y': 447, 'h': 12, 'w': 24.484375}, {'x': 683, 'y': 447, 'h': 12, 'w': 24.484375}], 'values': ['2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019']}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 90, 'y': 124, 'w': 41, 'h': 314}, {'x': 149, 'y': 131, 'w': 41, 'h': 307}, {'x': 207, 'y': 144, 'w': 41, 'h': 294}, {'x': 266, 'y': 151, 'w': 41, 'h': 287}, {'x': 324, 'y': 157, 'w': 41, 'h': 281}, {'x': 383, 'y': 164, 'w': 41, 'h': 274}, {'x': 442, 'y': 164, 'w': 41, 'h': 274}, {'x': 500, 'y': 164, 'w': 41, 'h': 274}, {'x': 559, 'y': 170, 'w': 41, 'h': 268}, {'x': 617, 'y': 170, 'w': 41, 'h': 268}, {'x': 676, 'y': 170, 'w': 41, 'h': 268}], 'x': ['2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019'], 'y': ['4.8', '4.7', '4.5', '4.4', '4.3', '4.2', '4.2', '4.2', '4.1', '4.1', '4.1'], 'colors': ['#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['2009', '2010', '2011', '2012', '2013', '2014', '2015', '2016', '2017', '2018', '2019']}], 'type': 'v_bar'}"
"two_col_24434.png"	true	"What percentage of total U.S. retail sales did e-commerce account for in 2018?"	[]	"9.9"	"two_col_24434.csv"	"{'Characteristic': {0: 'Electronic shopping and mail-order houses', 1: 'Nonstore retailers', 2: 'Total Retail Trade', 3: 'Clothing and clothing accessories stores', 4: 'Sporting goods, hobby, musical instrument, and book stores', 5: 'Motor vehicle and parts dealers', 6: 'Electronics and appliance stores', 7: 'Furniture and home furnishings stores', 8: 'Building material and garden equipment and supplies dealers', 9: 'Food and beverage stores', 10: 'Health and personal care stores', 11: 'Miscellaneous store retailers', 12: 'Gasoline stations', 13: 'General merchandise stores'}, 'Share of e-commerce sales': {0: '73.8%', 1: '65.1%', 2: '9.9%', 3: '4.1%', 4: '3.2%', 5: '3%', 6: '2.1%', 7: '1.3%', 8: '0.7%', 9: '0.6%', 10: '0.2%', 11: '-', 12: '-', 13: '-'}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 264, 'y': 35, 'w': 446, 'h': 572}}, 'y_axis': {'label': {'bbox': [{'x': 426, 'y': 636, 'w': 122.28125, 'h': 11}], 'text': 'Share of e-commerce sales'}, 'major_labels': {'bboxes': [{'x': 243.5, 'y': 611, 'w': 24.6, 'h': 24.0}, {'x': 293.5, 'y': 611, 'w': 24.6, 'h': 24.0}, {'x': 342.5, 'y': 611, 'w': 24.6, 'h': 24.0}, {'x': 392.5, 'y': 611, 'w': 24.6, 'h': 24.0}, {'x': 441.5, 'y': 611, 'w': 24.6, 'h': 24.0}, {'x': 491.5, 'y': 611, 'w': 24.6, 'h': 24.0}, {'x': 540.5, 'y': 611, 'w': 24.6, 'h': 24.0}, {'x': 590.5, 'y': 611, 'w': 24.6, 'h': 24.0}, {'x': 639.5, 'y': 611, 'w': 24.6, 'h': 24.0}, {'x': 690.5, 'y': 611, 'w': 24.6, 'h': 24.0}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 81, 'y': 41, 'h': 26, 'w': 170.470703125}, {'x': 164, 'y': 90, 'h': 12, 'w': 87.31298828125}, {'x': 165, 'y': 131, 'h': 12, 'w': 85.609375}, {'x': 54, 'y': 172, 'h': 12, 'w': 197.3828125}, {'x': 98, 'y': 204, 'h': 26, 'w': 153.16015625}, {'x': 98, 'y': 254, 'h': 12, 'w': 153.96826171875}, {'x': 93, 'y': 295, 'h': 12, 'w': 158.86669921875}, {'x': 66, 'y': 335, 'h': 12, 'w': 185.759765625}, {'x': 57, 'y': 368, 'h': 26, 'w': 194.9638671875}, {'x': 123, 'y': 417, 'h': 12, 'w': 128.91748046875}, {'x': 95, 'y': 458, 'h': 12, 'w': 156.4228515625}, {'x': 112, 'y': 499, 'h': 12, 'w': 139.890625}, {'x': 167, 'y': 540, 'h': 12, 'w': 84.8798828125}, {'x': 113, 'y': 581, 'h': 12, 'w': 138.6767578125}], 'values': ['Electronic shopping and mail-order', 'Nonstore retailers', 'Total Retail Trade', 'Clothing and clothing accessories stores', 'Sporting goods, hobby, musical', 'Motor vehicle and parts dealers', 'Electronics and appliance stores', 'Furniture and home furnishings stores', 'Building material and garden equipment', 'Food and beverage stores', 'Health and personal care stores', 'Miscellaneous store retailers', 'Gasoline stations', 'General merchandise stores']}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 263, 'y': 41, 'w': 366, 'h': 28}, {'x': 263, 'y': 82, 'w': 323, 'h': 28}, {'x': 263, 'y': 123, 'w': 49, 'h': 28}, {'x': 263, 'y': 164, 'w': 20, 'h': 28}, {'x': 263, 'y': 205, 'w': 16, 'h': 28}, {'x': 263, 'y': 246, 'w': 15, 'h': 28}, {'x': 263, 'y': 287, 'w': 10, 'h': 28}, {'x': 263, 'y': 327, 'w': 6, 'h': 28}, {'x': 263, 'y': 368, 'w': 3, 'h': 28}, {'x': 263, 'y': 409, 'w': 3, 'h': 28}, {'x': 263, 'y': 450, 'w': 1, 'h': 28}], 'x': ['Electronic shopping and mail-order', 'Nonstore retailers', 'Total Retail Trade', 'Clothing and clothing accessories stores', 'Sporting goods, hobby, musical', 'Motor vehicle and parts dealers', 'Electronics and appliance stores', 'Furniture and home furnishings stores', 'Building material and garden equipment', 'Food and beverage stores', 'Health and personal care stores', 'Miscellaneous store retailers', 'Gasoline stations', 'General merchandise stores'], 'y': ['73.8%', '65.1%', '9.9%', '4.1%', '3.2%', '3%', '2.1%', '1.3%', '0.7%', '0.6%', '0.2%'], 'colors': ['#2876dd', '#2876dd', '#C0C0C0', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['Electronic shopping and mail-order', 'Nonstore retailers', 'Total Retail Trade', 'Clothing and clothing accessories stores', 'Sporting goods, hobby, musical', 'Motor vehicle and parts dealers', 'Electronics and appliance stores', 'Furniture and home furnishings stores', 'Building material and garden equipment', 'Food and beverage stores', 'Health and personal care stores', 'Miscellaneous store retailers', 'Gasoline stations', 'General merchandise stores']}], 'type': 'h_bar'}"
"two_col_24434.png"	true	"According to a recent U.S. Census Bureau report, e-commerce sales represented what percentage of total retail sales in the United States in 2018"	[]	"9.9"	"two_col_24434.csv"	"{'Characteristic': {0: 'Electronic shopping and mail-order houses', 1: 'Nonstore retailers', 2: 'Total Retail Trade', 3: 'Clothing and clothing accessories stores', 4: 'Sporting goods, hobby, musical instrument, and book stores', 5: 'Motor vehicle and parts dealers', 6: 'Electronics and appliance stores', 7: 'Furniture and home furnishings stores', 8: 'Building material and garden equipment and supplies dealers', 9: 'Food and beverage stores', 10: 'Health and personal care stores', 11: 'Miscellaneous store retailers', 12: 'Gasoline stations', 13: 'General merchandise stores'}, 'Share of e-commerce sales': {0: '73.8%', 1: '65.1%', 2: '9.9%', 3: '4.1%', 4: '3.2%', 5: '3%', 6: '2.1%', 7: '1.3%', 8: '0.7%', 9: '0.6%', 10: '0.2%', 11: '-', 12: '-', 13: '-'}}"	"{'general_figure_info': {'figure_info': {'bbox': {'x': 264, 'y': 35, 'w': 446, 'h': 572}}, 'y_axis': {'label': {'bbox': [{'x': 426, 'y': 636, 'w': 122.28125, 'h': 11}], 'text': 'Share of e-commerce sales'}, 'major_labels': {'bboxes': [{'x': 243.5, 'y': 611, 'w': 24.6, 'h': 24.0}, {'x': 293.5, 'y': 611, 'w': 24.6, 'h': 24.0}, {'x': 342.5, 'y': 611, 'w': 24.6, 'h': 24.0}, {'x': 392.5, 'y': 611, 'w': 24.6, 'h': 24.0}, {'x': 441.5, 'y': 611, 'w': 24.6, 'h': 24.0}, {'x': 491.5, 'y': 611, 'w': 24.6, 'h': 24.0}, {'x': 540.5, 'y': 611, 'w': 24.6, 'h': 24.0}, {'x': 590.5, 'y': 611, 'w': 24.6, 'h': 24.0}, {'x': 639.5, 'y': 611, 'w': 24.6, 'h': 24.0}, {'x': 690.5, 'y': 611, 'w': 24.6, 'h': 24.0}]}}, 'x_axis': {'major_labels': {'bboxes': [{'x': 81, 'y': 41, 'h': 26, 'w': 170.470703125}, {'x': 164, 'y': 90, 'h': 12, 'w': 87.31298828125}, {'x': 165, 'y': 131, 'h': 12, 'w': 85.609375}, {'x': 54, 'y': 172, 'h': 12, 'w': 197.3828125}, {'x': 98, 'y': 204, 'h': 26, 'w': 153.16015625}, {'x': 98, 'y': 254, 'h': 12, 'w': 153.96826171875}, {'x': 93, 'y': 295, 'h': 12, 'w': 158.86669921875}, {'x': 66, 'y': 335, 'h': 12, 'w': 185.759765625}, {'x': 57, 'y': 368, 'h': 26, 'w': 194.9638671875}, {'x': 123, 'y': 417, 'h': 12, 'w': 128.91748046875}, {'x': 95, 'y': 458, 'h': 12, 'w': 156.4228515625}, {'x': 112, 'y': 499, 'h': 12, 'w': 139.890625}, {'x': 167, 'y': 540, 'h': 12, 'w': 84.8798828125}, {'x': 113, 'y': 581, 'h': 12, 'w': 138.6767578125}], 'values': ['Electronic shopping and mail-order', 'Nonstore retailers', 'Total Retail Trade', 'Clothing and clothing accessories stores', 'Sporting goods, hobby, musical', 'Motor vehicle and parts dealers', 'Electronics and appliance stores', 'Furniture and home furnishings stores', 'Building material and garden equipment', 'Food and beverage stores', 'Health and personal care stores', 'Miscellaneous store retailers', 'Gasoline stations', 'General merchandise stores']}, 'label': {}}}, 'models': [{'name': {}, 'bboxes': [{'x': 263, 'y': 41, 'w': 366, 'h': 28}, {'x': 263, 'y': 82, 'w': 323, 'h': 28}, {'x': 263, 'y': 123, 'w': 49, 'h': 28}, {'x': 263, 'y': 164, 'w': 20, 'h': 28}, {'x': 263, 'y': 205, 'w': 16, 'h': 28}, {'x': 263, 'y': 246, 'w': 15, 'h': 28}, {'x': 263, 'y': 287, 'w': 10, 'h': 28}, {'x': 263, 'y': 327, 'w': 6, 'h': 28}, {'x': 263, 'y': 368, 'w': 3, 'h': 28}, {'x': 263, 'y': 409, 'w': 3, 'h': 28}, {'x': 263, 'y': 450, 'w': 1, 'h': 28}], 'x': ['Electronic shopping and mail-order', 'Nonstore retailers', 'Total Retail Trade', 'Clothing and clothing accessories stores', 'Sporting goods, hobby, musical', 'Motor vehicle and parts dealers', 'Electronics and appliance stores', 'Furniture and home furnishings stores', 'Building material and garden equipment', 'Food and beverage stores', 'Health and personal care stores', 'Miscellaneous store retailers', 'Gasoline stations', 'General merchandise stores'], 'y': ['73.8%', '65.1%', '9.9%', '4.1%', '3.2%', '3%', '2.1%', '1.3%', '0.7%', '0.6%', '0.2%'], 'colors': ['#2876dd', '#2876dd', '#C0C0C0', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd', '#2876dd'], 'labels': ['Electronic shopping and mail-order', 'Nonstore retailers', 'Total Retail Trade', 'Clothing and clothing accessories stores', 'Sporting goods, hobby, musical', 'Motor vehicle and parts dealers', 'Electronics and appliance stores', 'Furniture and home furnishings stores', 'Building material and garden equipment', 'Food and beverage stores', 'Health and personal care stores', 'Miscellaneous store retailers', 'Gasoline stations', 'General merchandise stores']}], 'type': 'h_bar'}"