delen/vistext huggingface dataset:
Chart description: The most malpractice payments between 2010 to 2013 was paid for malpractice leasing to death.

Chart data: 2010 injury type 3404 Death 1475 Significant permanent injury 1192 Minor permanent injury 1117 Major temporary injury 1062 Major permanent injury 919 Minor temporary injury 562 Quadriplegic, brain damage, lifelong care 175 Emotional injury only 201 Insignificant injury 92 Cannot be determined *

Vega-Lite specification:
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Chart description: Ivory Coast’s population over 65 has remained relatively constant in the years 2009-2019, hitting it’s lowest point in 2015.

Chart data: Year 65 years and older Dec 31, 2008 0.0288 Dec 31, 2009 0.0286 Dec 31, 2010 0.0286 Dec 31, 2011 0.0285 Dec 31, 2012 0.0283 Dec 31, 2013 0.0281 Dec 31, 2014 0.028 Dec 31, 2015 0.0282 Dec 31, 2016 0.0284 Dec 31, 2017 0.0286 Dec 31, 2018 0.0287

Vega-Lite specification:
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Chart description: The peak for the global box office revenue happened between 2007 and 2015.

Chart data: Year Europe, Middle East and Africa Dec 31, 2003 10.4 Dec 31, 2004 9.9 Dec 31, 2005 9.7 Dec 31, 2006 8.7 Dec 31, 2007 9.7 Dec 31, 2008 9.9 Dec 31, 2009 10.4 Dec 31, 2010 10.8 Dec 31, 2011 10.7 Dec 31, 2012 10.9 Dec 31, 2013 10.6 Dec 31, 2014 10 Dec 31, 2015 9.8 Dec 31, 2016 10.2 Dec 31, 2017 10.1 Dec 31, 2018 10.3

Vega-Lite specification:
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Chart description: The global box office revenue has gradually increased from 2004 to 2018. The global box office has fluctuated since it plateaued around 2008.

Chart data: Year U.S./Canada Dec 31, 2003 10.6 Dec 31, 2004 10.6 Dec 31, 2005 9.6 Dec 31, 2006 9.6 Dec 31, 2007 9.6 Dec 31, 2008 10.6 Dec 31, 2009 10.6 Dec 31, 2010 10.2 Dec 31, 2011 10.8 Dec 31, 2012 10.9 Dec 31, 2013 10.4 Dec 31, 2014 11.1 Dec 31, 2015 11.4 Dec 31, 2016 11.1 Dec 31, 2017 11.9 Dec 31, 2018 11.4

Vega-Lite specification:
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Chart description: Belgium had the highest number of Ltc deaths. Hungary and Slovenia had the least amount.

Chart data: Number of LTC deaths per million population Country 1 Australia 19 Israel 25 Norway 5 Slovenia 3 Hungary 13 Austria 34 Germany 32 Portugal 142 Canada 112 OECD average 91 U.S. 184 Ireland 50 Netherlands 208 France 176 Italy 150 U.K. 379 Spain 400 Belgium

Vega-Lite specification:
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Chart description: In the first quarter of 2014 travel companies in the United States used Facebook the most. In the first quarter of 2014 travel companies in the United States used vine the least.

Chart data: Currently use Response 0.84 Facebook 0.66 Twitter 0.56 YouTube 0.48 Google+ 0.5 LinkedIn 0.35 Instagram 0.37 Pinterest 0.17 Foursquare 0.14 WhatsApp 0.06 Vine 0.09 Tumblr

Vega-Lite specification:
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Chart description: Southern regions of the UK tend to have a higher transaction volume than the North.

Chart data: city or region of United Kingdom 2018 Londo  3105; city or region of United Kingdom: London South Eas  1135; city or region of United Kingdom: South East Midland  1037; city or region of United Kingdom: Midlands North Wes  897; city or region of United Kingdom: North West Yorkshire and Humbe  624; city or region of United Kingdom: Yorkshire and Humber East of Englan  575; city or region of United Kingdom: East of England Scotlan  799; city or region of United Kingdom: Scotland South Wes  538; city or region of United Kingdom: South West North Eas  298; city or region of United Kingdom: North East Northern Irelan  228; city or region of United Kingdom: Northern Ireland Wale  212; city or region of United Kingdom: Wales

Vega-Lite specification:
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Chart description: LEADING TEN ITALIAN WINNERS IN ITALY FROM 2014 TO 2018 BY TURNOVER IN WHICH c.RIUNITE/CIV/GIV GAIN MORE THAN EVERY1.

Chart data: 2014 Leading ten Italian wineries 551 C.Riunite/CIV/GIV 349 GIV 314 Caviro 202 Cantineriunite/CIV 185 Antinori 160 Zonin 159 Martini 171 Mezzacorona 159 Cavit 137 Botter

Vega-Lite specification:
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Chart description: The best performing Italian winery for the years 2014-2018 was C.Riunite/CIV/GIV, outperforming the others by a fair margin.

Chart data: 2017 Leading ten Italian wineries 610 C.Riunite/CIV/GIV 385 GIV 304 Caviro 226 Cantineriunite/CIV 220 Antinori 196 Zonin 192 Martini 185 Mezzacorona 183 Cavit 180 Botter

Vega-Lite specification:
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Chart description: processed food has a much higher trade weighted average than any other race by at least 0.02. Most races average between 0.01 and 0.04 in terms of EU transport tariffs.

Chart data: Race EU import tariffs applied to U.S. goods Processed foods 0.064 Manufacturing 0.0413 Transport 0.0351 Agri-forestry-fishing 0.0284 Chemicals 0.0235 Metals 0.0189 Electric machinery and equipment 0.0168 Minerals 0.0109 Machinery 0.0106 Other 0.0066

Vega-Lite specification:
{"config": {"background": "#333", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#1b9e77", "#d95f02", "#7570b3", "#e7298a", "#66a61e", "#e6ab02", "#a6761d", "#666666"]}}, "data": {"url": "multiColumn/data/676.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#666666"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Race"}, "y": {"type": "quantitative", "axis": {"title": "EU import tariffs applied to U.S. goods"}, "field": "EU import tariffs applied to U\\.S\\. goods"}}, "title": ["Trade weighted average of applied import", "tarrifs in the EU and U.S. , by sector in", "2013"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Energy drinks saw the fastest growth. Chocolate paste saw the slowest growth.

Chart data: 02.03-08.03 food products 2.49 Energy drinks 2.09 Pasta 1.46 Vegetable oil 1.5 Instant soups 1.51 Porridge 0.38 Chocolate paste 1.32 Souces 0.79 Sterilized milk 0.99 Flakes 0.71 Water

Vega-Lite specification:
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Chart description: hannover is the clear cut winner, with the best concert event, and no other stadium or arena could touch hannover in the first half of 2013.

Chart data: Concert/Show/Entertainment stadiums/arenas 1 Veltins-Arena (Gelsenkirchen) 1 Borussia-Park (Mönchengladbach) 5 Commerzbank-Arena (Frankfurt) 1 BayArena (Leverkusen) 4 Voith-Arena (Heidenheim) 42 HDI-Arena (Hannover) 3 Mercedes-Benz Arena (Stuttgart) 1 Grundig Stadion (Nurnberg)

Vega-Lite specification:
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Chart description: Signai lndua Park stadium in Germany hosted the most events in the first part of 2013.

Chart data: Other events*** stadiums/arenas 368 Signal Iduna Park (Dortmund) 49 Veltins-Arena (Gelsenkirchen) 1 Commerzbank-Arena (Frankfurt) 14 HDI-Arena (Hannover) 14 Grundig Stadion (Nurnberg)

Vega-Lite specification:
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Chart description: There was a decrease in employment in the agriculture sector in South Korea between 2010 and 2017. Employment in the agriculture sector in South Korea increased to 0.05 in 2018 and decreased to 0.475 in 2020.

Chart data: Year Agriculture Dec 31, 2009 0.066 Dec 31, 2010 0.0637 Dec 31, 2011 0.0613 Dec 31, 2012 0.0598 Dec 31, 2013 0.0558 Dec 31, 2014 0.0511 Dec 31, 2015 0.0482 Dec 31, 2016 0.0478 Dec 31, 2017 0.05 Dec 31, 2018 0.0488 Dec 31, 2019 0.0477

Vega-Lite specification:
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Chart description: Between 2010 and 2020 employment in the industry sector of South Korea has remained fairly static at around 0.25. The fall and rise between 2010 and 2015 is so small as to be impossible to put a number on in the context of this representation.

Chart data: Year Industry Dec 31, 2009 0.2502 Dec 31, 2010 0.2485 Dec 31, 2011 0.2458 Dec 31, 2012 0.2452 Dec 31, 2013 0.2477 Dec 31, 2014 0.252 Dec 31, 2015 0.2499 Dec 31, 2016 0.2507 Dec 31, 2017 0.252 Dec 31, 2018 0.2513 Dec 31, 2019 0.2501

Vega-Lite specification:
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Chart description: The relation ship between age structure and year increases along the y-axis, showing us that there is a slight but definite increase in age structure as the years progress.

Chart data: Year 15-64 years Dec 31, 2008 0.5123 Dec 31, 2009 0.5125 Dec 31, 2010 0.5125 Dec 31, 2011 0.5128 Dec 31, 2012 0.5135 Dec 31, 2013 0.5149 Dec 31, 2014 0.5168 Dec 31, 2015 0.5188 Dec 31, 2016 0.5214 Dec 31, 2017 0.5244 Dec 31, 2018 0.5275

Vega-Lite specification:
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Chart description: The Mozambique age structure of 15-64 years 0.5in 2010. This figure has remained steady and increasing very minimally to nearly 0.6 in 2018.

Chart data: Year 15-64 years Dec 31, 2008 0.5123 Dec 31, 2009 0.5125 Dec 31, 2010 0.5125 Dec 31, 2011 0.5128 Dec 31, 2012 0.5135 Dec 31, 2013 0.5149 Dec 31, 2014 0.5168 Dec 31, 2015 0.5188 Dec 31, 2016 0.5214 Dec 31, 2017 0.5244 Dec 31, 2018 0.5275

Vega-Lite specification:
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Chart description: on average, over a 10 year period the number of above 65 years has declined 0.003. 0.0015 each 5 years respectively. Each year there has been either a decline or levelling in the overall number of less than 65s. There has been no increase in the number of over 65 years old. From these trends we can deduce that the overall population of over 65s is reducing and the number of under 65s is increasing at the rate 0.003 per 10 years or 0.0003 per year.

Chart data: Year 65 years and older Dec 31, 2008 0.0306 Dec 31, 2009 0.0301 Dec 31, 2010 0.03 Dec 31, 2011 0.0299 Dec 31, 2012 0.0296 Dec 31, 2013 0.0293 Dec 31, 2014 0.029 Dec 31, 2015 0.029 Dec 31, 2016 0.029 Dec 31, 2017 0.0289 Dec 31, 2018 0.0288

Vega-Lite specification:
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Chart description: The share of Agriculture fluctuates over the years but generally stays above 0.05.

Chart data: Year Agriculture Dec 31, 2008 0.0527 Dec 31, 2009 0.0713 Dec 31, 2010 0.07 Dec 31, 2011 0.0578 Dec 31, 2012 0.0605 Dec 31, 2013 0.0671 Dec 31, 2014 0.0516 Dec 31, 2015 0.0626 Dec 31, 2016 0.0548 Dec 31, 2017 0.061 Dec 31, 2018 0.072

Vega-Lite specification:
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Chart description: The lowest share of GDP for agriculture occurred in 2015. The highest share occurred in 2019. Agriculture shared more than 0.5 each year between 2009 and 2019.

Chart data: Year Agriculture Dec 31, 2008 0.0527 Dec 31, 2009 0.0713 Dec 31, 2010 0.07 Dec 31, 2011 0.0578 Dec 31, 2012 0.0605 Dec 31, 2013 0.0671 Dec 31, 2014 0.0516 Dec 31, 2015 0.0626 Dec 31, 2016 0.0548 Dec 31, 2017 0.061 Dec 31, 2018 0.072

Vega-Lite specification:
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Chart description: The growth in this area has been balanced and not dropped below 0.5 but remained quite level and appears to be keeping at this level.

Chart data: Year Services Dec 31, 2008 0.5331 Dec 31, 2009 0.515 Dec 31, 2010 0.5181 Dec 31, 2011 0.5366 Dec 31, 2012 0.5392 Dec 31, 2013 0.5294 Dec 31, 2014 0.5581 Dec 31, 2015 0.5612 Dec 31, 2016 0.5697 Dec 31, 2017 0.5548 Dec 31, 2018 0.5363

Vega-Lite specification:
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Chart description: The female population of Antigua and Barbuda has seen a very steady rise, from 45 in 1000 in 2008 to 50 in 1000 in 2018.

Chart data: Year Female Dec 31, 2007 44.67 Dec 31, 2008 45.3 Dec 31, 2009 45.91 Dec 31, 2010 46.49 Dec 31, 2011 47.04 Dec 31, 2012 47.56 Dec 31, 2013 48.06 Dec 31, 2014 48.54 Dec 31, 2015 49.01 Dec 31, 2016 49.44 Dec 31, 2017 49.87

Vega-Lite specification:
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Chart description: population is increasing steadily every yea rfrom 2016.

Chart data: Year Total Dec 31, 2007 85.4 Dec 31, 2008 86.75 Dec 31, 2009 88.03 Dec 31, 2010 89.25 Dec 31, 2011 90.41 Dec 31, 2012 91.52 Dec 31, 2013 92.56 Dec 31, 2014 93.57 Dec 31, 2015 94.53 Dec 31, 2016 95.43 Dec 31, 2017 96.29

Vega-Lite specification:
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Chart description: Intimate partner problems had the highest volume once any problem is taken out of the equation.

Chart data: relationship problems or loss Known mental health condition Any relationship problem/loss 0.396 Intimate partner problem 0.241 Perpetrator of interpersonal violence in past month 0.014 Victim of interpersonal violence in past month 0.006 Family relationhip problem 0.093 Other relationship problem (nonintimate) 0.021 Argument or conflict (not specified) 0.136 Death of a loved one (any) 0.088 Nonsuicide death 0.069 Suicide of family or friend 0.023

Vega-Lite specification:
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Chart description: Death of loved one contributes to lower suicide rate than family relationship problem.

Chart data: relationship problems or loss Known mental health condition Any relationship problem/loss 0.396 Intimate partner problem 0.241 Perpetrator of interpersonal violence in past month 0.014 Victim of interpersonal violence in past month 0.006 Family relationhip problem 0.093 Other relationship problem (nonintimate) 0.021 Argument or conflict (not specified) 0.136 Death of a loved one (any) 0.088 Nonsuicide death 0.069 Suicide of family or friend 0.023

Vega-Lite specification:
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Chart description: I genuinely do not understand what this graph is trying to show. I can't work out whether it means the person had a mental health condition or not. The y-axis is also extremely confusing by how the text is presented.

Chart data: No known mental health condition relationship problems or loss 0.451 Any relationship problem/loss 0.302 Intimate partner problem 0.03 Perpetrator of interpersonal violence in past month 0.003 Victim of interpersonal violence in past month 0.085 Family relationhip problem 0.021 Other relationship problem (nonintimate) 0.175 Argument or conflict (not specified) 0.072 Death of a loved one (any) 0.057 Nonsuicide death 0.017 Suicide of family or friend

Vega-Lite specification:
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