delen/vistext huggingface dataset:
Chart description: Cough, cold and allergy remedies had the largest market share at 0.34 where as Adult Mouth Care was the lowest.

Chart data: medical specialty Market share Cough, Cold and Allergy Remedies 0.34 Analgesics 0.23 Digestive Remedies 0.16 Dermatological 0.14 Eye Care 0.04 Wound Care 0.03 Smoking Cessation Aids 0.02 Sleep Aids 0.02 Emergency Contraception 0.01 Adult Mouth Care 0.01

Vega-Lite specification:
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Chart description: The highest global share of over the counter (OTC) medication is in cold, cough and allergy remedies. Adult mouth care and emergency contraception take up the smallest share.

Chart data: medical specialty Market share Cough, Cold and Allergy Remedies 0.34 Analgesics 0.23 Digestive Remedies 0.16 Dermatological 0.14 Eye Care 0.04 Wound Care 0.03 Smoking Cessation Aids 0.02 Sleep Aids 0.02 Emergency Contraception 0.01 Adult Mouth Care 0.01

Vega-Lite specification:
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Chart description: There was a slow increase in geothermal energy take u until approximately 2009 where the usage levelled off.

Chart data: Year Consumption in trillion Btu Dec 31, 2005 181 Dec 31, 2006 186 Dec 31, 2007 192 Dec 31, 2008 200 Dec 31, 2009 208 Dec 31, 2010 212 Dec 31, 2011 212 Dec 31, 2012 214 Dec 31, 2013 214 Dec 31, 2014 212 Dec 31, 2015 210 Dec 31, 2016 210 Dec 31, 2017 209 Dec 31, 2018 209

Vega-Lite specification:
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Chart description: I can spot that during the years from 2006 to 2010 the increase of consumption in trillion Btu was drastic, then became quite stable as the years progressed. During the years between 2010 and 2014 there was and increase and decrease quite frequently in consumption. From the years 2014 onwards, the graph shows a stable consumption in trillion Btu.

Chart data: Year Consumption in trillion Btu Dec 31, 2005 181 Dec 31, 2006 186 Dec 31, 2007 192 Dec 31, 2008 200 Dec 31, 2009 208 Dec 31, 2010 212 Dec 31, 2011 212 Dec 31, 2012 214 Dec 31, 2013 214 Dec 31, 2014 212 Dec 31, 2015 210 Dec 31, 2016 210 Dec 31, 2017 209 Dec 31, 2018 209

Vega-Lite specification:
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Chart description: The number of single men households increased gradually from 2010 to 2019. The value hitting its highest of 500000.

Chart data: Year Single men Dec 31, 2009 490229 Dec 31, 2010 493599 Dec 31, 2011 495458 Dec 31, 2012 500096 Dec 31, 2013 502798 Dec 31, 2014 506497 Dec 31, 2015 507551 Dec 31, 2016 508596 Dec 31, 2017 512552 Dec 31, 2018 518279 Dec 31, 2019 527750

Vega-Lite specification:
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Chart description: There has been a general trend of increase in response to the prompt "are people born gay or lesbian or does this develop due to upbringing and environmental factors.  The years 1990 to 2000 have the biggest increase in response.  From 2000 to around 2020 the response to this question has plateaued in general compared to the response from 1990 to 2000.

Chart data: Response Born with Dec 31, 1976 0.13 Dec 31, 1981 0.17 Dec 31, 1988 0.19 Dec 31, 1995 0.31 Dec 31, 1998 0.34 Dec 31, 2000 0.4 Dec 31, 2001 0.4 Dec 31, 2002 0.38 Dec 31, 2003 0.37 Dec 31, 2004 0.38 Dec 31, 2005 0.42 Dec 31, 2006 0.42 Dec 31, 2007 0.41 Dec 31, 2008 0.35 Dec 31, 2009 0.36 Dec 31, 2010 0.4 Dec 31, 2011 0.4 Dec 31, 2012 0.47 Dec 31, 2013 0.42 Dec 31, 2014 0.51 Dec 31, 2015 0.46 Dec 31, 2017 0.5 Dec 31, 2018 0.49

Vega-Lite specification:
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Chart description: The environment response is higher in 1980 after the it slowly go down.

Chart data: Response Upbringing/environment Dec 31, 1976 0.56 Dec 31, 1981 0.52 Dec 31, 1988 0.48 Dec 31, 1995 0.4 Dec 31, 1998 0.44 Dec 31, 2000 0.39 Dec 31, 2001 0.36 Dec 31, 2002 0.44 Dec 31, 2003 0.41 Dec 31, 2004 0.44 Dec 31, 2005 0.37 Dec 31, 2006 0.35 Dec 31, 2007 0.38 Dec 31, 2008 0.42 Dec 31, 2009 0.37 Dec 31, 2010 0.42 Dec 31, 2011 0.35 Dec 31, 2012 0.33 Dec 31, 2013 0.37 Dec 31, 2014 0.3 Dec 31, 2015 0.33 Dec 31, 2017 0.3 Dec 31, 2018 0.32

Vega-Lite specification:
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Chart description: The quantity of responses to the question of whether people are born gay/lesbian or environmental factors play a part, the quantity of responses to both has decreased between 1980s to 2010s. The quantity began a gradual decent but  became more irratic between 2000 and 2010.

Chart data: Response Both Dec 31, 1976 0.14 Dec 31, 1981 0.13 Dec 31, 1988 0.12 Dec 31, 1995 0.13 Dec 31, 1998 0.13 Dec 31, 2000 0.09 Dec 31, 2001 0.12 Dec 31, 2002 0.11 Dec 31, 2003 0.11 Dec 31, 2004 0.1 Dec 31, 2005 0.11 Dec 31, 2006 0.11 Dec 31, 2007 0.09 Dec 31, 2008 0.12 Dec 31, 2009 0.12 Dec 31, 2010 0.06 Dec 31, 2011 0.11 Dec 31, 2012 0.09 Dec 31, 2013 0.09 Dec 31, 2014 0.08 Dec 31, 2015 0.12 Dec 31, 2017 0.1 Dec 31, 2018 0.11

Vega-Lite specification:
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Chart description: I don’t understand the chart. Sorry. Sorry sorry :(.

Chart data: Response Both Dec 31, 1976 0.14 Dec 31, 1981 0.13 Dec 31, 1988 0.12 Dec 31, 1995 0.13 Dec 31, 1998 0.13 Dec 31, 2000 0.09 Dec 31, 2001 0.12 Dec 31, 2002 0.11 Dec 31, 2003 0.11 Dec 31, 2004 0.1 Dec 31, 2005 0.11 Dec 31, 2006 0.11 Dec 31, 2007 0.09 Dec 31, 2008 0.12 Dec 31, 2009 0.12 Dec 31, 2010 0.06 Dec 31, 2011 0.11 Dec 31, 2012 0.09 Dec 31, 2013 0.09 Dec 31, 2014 0.08 Dec 31, 2015 0.12 Dec 31, 2017 0.1 Dec 31, 2018 0.11

Vega-Lite specification:
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Chart description: There seems to be a concensus that gay or lesbians are that way due to both being born that way and due to upbringing during the period 1980 to 2020.

Chart data: Response Both Dec 31, 1976 0.14 Dec 31, 1981 0.13 Dec 31, 1988 0.12 Dec 31, 1995 0.13 Dec 31, 1998 0.13 Dec 31, 2000 0.09 Dec 31, 2001 0.12 Dec 31, 2002 0.11 Dec 31, 2003 0.11 Dec 31, 2004 0.1 Dec 31, 2005 0.11 Dec 31, 2006 0.11 Dec 31, 2007 0.09 Dec 31, 2008 0.12 Dec 31, 2009 0.12 Dec 31, 2010 0.06 Dec 31, 2011 0.11 Dec 31, 2012 0.09 Dec 31, 2013 0.09 Dec 31, 2014 0.08 Dec 31, 2015 0.12 Dec 31, 2017 0.1 Dec 31, 2018 0.11

Vega-Lite specification:
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Chart description: Services seemed to have a pretty even distribution over the 10 years always staying around 0.45.

Chart data: Year Services Dec 31, 2009 0.4264 Dec 31, 2010 0.4274 Dec 31, 2011 0.4293 Dec 31, 2012 0.4378 Dec 31, 2013 0.448 Dec 31, 2014 0.4557 Dec 31, 2015 0.4651 Dec 31, 2016 0.4553 Dec 31, 2017 0.4568 Dec 31, 2018 0.4583 Dec 31, 2019 0.459

Vega-Lite specification:
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Chart description: In 2016, there was the highest distribution of employment by the economic sector from 2010 to 2020 at 0.45, while 2012 was the lowest distribution of employment.

Chart data: Year Services Dec 31, 2009 0.4264 Dec 31, 2010 0.4274 Dec 31, 2011 0.4293 Dec 31, 2012 0.4378 Dec 31, 2013 0.448 Dec 31, 2014 0.4557 Dec 31, 2015 0.4651 Dec 31, 2016 0.4553 Dec 31, 2017 0.4568 Dec 31, 2018 0.4583 Dec 31, 2019 0.459

Vega-Lite specification:
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Chart description: The proportion of people employed in the services sector grew from approximately 0.42 in 2010 to 0.47 in 2016. In 2016, the highest proportion of employees were employed in the services sector. The proportion of people employed in the services sector then decreased from 0.47 in 2016 to 0.44 in 2017. The proportion of employees in the services sector then grew from 0.44 in 2017 to 0.45 in 2020.

Chart data: Year Services Dec 31, 2009 0.4264 Dec 31, 2010 0.4274 Dec 31, 2011 0.4293 Dec 31, 2012 0.4378 Dec 31, 2013 0.448 Dec 31, 2014 0.4557 Dec 31, 2015 0.4651 Dec 31, 2016 0.4553 Dec 31, 2017 0.4568 Dec 31, 2018 0.4583 Dec 31, 2019 0.459

Vega-Lite specification:
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Chart description: The Year 2014 was peak for the distribution of gdp across economic sectors with figures measuring just under 0.35. The lowest year would be 2019 with records of a little over 0.30.

Chart data: Year Industry Dec 31, 2008 0.3325 Dec 31, 2009 0.3326 Dec 31, 2010 0.3341 Dec 31, 2011 0.3316 Dec 31, 2012 0.3285 Dec 31, 2013 0.3425 Dec 31, 2014 0.3399 Dec 31, 2015 0.3357 Dec 31, 2016 0.3322 Dec 31, 2017 0.3222 Dec 31, 2018 0.3199

Vega-Lite specification:
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Chart description: The trend is of a flat line of industry which does not go above 0.35 or below 0.30. The highest year is 2014. The lowest year is the final year 2019.

Chart data: Year Industry Dec 31, 2008 0.3325 Dec 31, 2009 0.3326 Dec 31, 2010 0.3341 Dec 31, 2011 0.3316 Dec 31, 2012 0.3285 Dec 31, 2013 0.3425 Dec 31, 2014 0.3399 Dec 31, 2015 0.3357 Dec 31, 2016 0.3322 Dec 31, 2017 0.3222 Dec 31, 2018 0.3199

Vega-Lite specification:
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Chart description: Distribution of services in proportion of GDP plateaus but has a slight curve.

Chart data: Year Services Dec 31, 2008 0.5554 Dec 31, 2009 0.5565 Dec 31, 2010 0.5469 Dec 31, 2011 0.5435 Dec 31, 2012 0.5426 Dec 31, 2013 0.5366 Dec 31, 2014 0.5377 Dec 31, 2015 0.5426 Dec 31, 2016 0.5446 Dec 31, 2017 0.5577 Dec 31, 2018 0.5621

Vega-Lite specification:
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Chart description: The highest attendance was in 2005/06. Attendance has fallen each year. Attendance was at its lowest in 2012/13.

Chart data: Total attendance Year 481989 2019/20 573552 2018/19 534670 2017/18 536878 2016/17 550763 2015/16 547149 2014/15 564798 2013/14 334165 2012/13* 509241 2011/12 487543 2010/11 491558 2009/10 609907 2008/09 607638 2007/08 614519 2006/07 638871 2005/06

Vega-Lite specification:
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Chart description: The average attendance figures of the Arizona Coyotes has steadily declined from the year 2005 to 2019. Their highest figure in 2005 was almost double their lowest figure in 2012.

Chart data: Total attendance Year 481989 2019/20 573552 2018/19 534670 2017/18 536878 2016/17 550763 2015/16 547149 2014/15 564798 2013/14 334165 2012/13* 509241 2011/12 487543 2010/11 491558 2009/10 609907 2008/09 607638 2007/08 614519 2006/07 638871 2005/06

Vega-Lite specification:
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Chart description: Attendance for years 2005 to 2008 were very strong over 600,000 figures then dropped to around 500,000 until 2012 and 2013 where attendance fell to just over 300,000 attendance then rose to between 400,000 and 500,000 between years 2013 and 2020.

Chart data: Total attendance Year 481989 2019/20 573552 2018/19 534670 2017/18 536878 2016/17 550763 2015/16 547149 2014/15 564798 2013/14 334165 2012/13* 509241 2011/12 487543 2010/11 491558 2009/10 609907 2008/09 607638 2007/08 614519 2006/07 638871 2005/06

Vega-Lite specification:
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Chart description: Over 8 years, services have remained much the same.

Chart data: Year Services Dec 31, 2008 0.7015 Dec 31, 2009 0.7001 Dec 31, 2010 0.6975 Dec 31, 2011 0.7032 Dec 31, 2012 0.7044 Dec 31, 2013 0.7082 Dec 31, 2014 0.7104 Dec 31, 2015 0.7128 Dec 31, 2016 0.7103 Dec 31, 2017 0.7139 Dec 31, 2018 0.7091

Vega-Lite specification:
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Chart description: The main worry or concerns about COvid-19 was my family health's according to the chart. My physical health and my parent / older friends health share the same amount of worries or concerns. My country's economic stability is the second largest worry or concern according to the chart.

Chart data: Response United Kingdom My family’s health 0.69 My country’s economic stability 0.57 My physical health 0.47 My economic situation 0.38 My parent's / older friends health 0.47 My country’s political stability 0.21 Food shortages 0.18 My mental health 0.35 My job security 0.27 Rioting or looting 0.08 Other 0.03 Don’t know 0.01

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#4572a7"}, "line": {"stroke": "#4572a7", "strokeWidth": 2}, "rect": {"fill": "#4572a7"}, "bar": {"fill": "#4572a7"}, "point": {"color": "#4572a7", "strokeWidth": 1.5, "size": 50}, "axis": {"bandPosition": 0.5, "grid": true, "gridColor": "#000000", "gridOpacity": 1, "gridWidth": 0.5, "labelPadding": 10, "tickSize": 5, "tickWidth": 0.5}, "axisBand": {"grid": false, "tickExtra": true}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 50, "symbolType": "square"}, "range": {"category": ["#4572a7", "#aa4643", "#8aa453", "#71598e", "#4598ae", "#d98445", "#94aace", "#d09393", "#b9cc98", "#a99cbc"]}}, "data": {"url": "multiColumn/data/1034.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#71598e"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "United Kingdom"}, "field": "United Kingdom"}}, "title": ["Main worries or concerns about the COVID-19", "/ coronavirus pandemic in the United States", ", United Kingdom and Germany 2020 (as of", "May 31)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Revenue has trebled in the 10 years the chart shows. 2018/19 has the most revenue. On average there has been an increase year on year. With the exception of years 2010/11, 2015/16 & 2017/18. 2010/11 has the lowest revenue.

Chart data: Matchday Season 65.6 2018/19 51.2 2017/18 57.8 2016/17 43.7 2015/16 51.4 2014/15 41 2013/14 38 2012/13 31.8 2011/12 11.6 2010/11 16.9 2009/10 16.7 2008/09

Vega-Lite specification:
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Chart description: From 1790 to 1880, we can see a very steady increase in the number of the slave population in USA. This has increased from under 1 million in 1970 to 6.6 million in 1880.

Chart data: Year Total Dec 31, 1789 757208 Dec 31, 1799 1002037 Dec 31, 1809 1377808 Dec 31, 1819 1771656 Dec 31, 1829 2328642 Dec 31, 1839 2873648 Dec 31, 1849 3638808 Dec 31, 1859 4441830 Dec 31, 1869 5392172 Dec 31, 1879 6580793

Vega-Lite specification:
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Chart description: Through the years 2010 to 2020 the distribution of employment by economic sector in chile stayed above 0.6 in services. In about 2012 there was a gentle and steady increase in the services going up to 2020.

Chart data: Year Services Dec 31, 2009 0.6644 Dec 31, 2010 0.6636 Dec 31, 2011 0.6619 Dec 31, 2012 0.6665 Dec 31, 2013 0.6711 Dec 31, 2014 0.6734 Dec 31, 2015 0.6751 Dec 31, 2016 0.6801 Dec 31, 2017 0.6846 Dec 31, 2018 0.6885 Dec 31, 2019 0.6919

Vega-Lite specification:
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Chart description: Between 2010 and 2014 showed a slight dip of employment by economic sector, after which showed a steady increase up to 2020.

Chart data: Year Services Dec 31, 2009 0.6644 Dec 31, 2010 0.6636 Dec 31, 2011 0.6619 Dec 31, 2012 0.6665 Dec 31, 2013 0.6711 Dec 31, 2014 0.6734 Dec 31, 2015 0.6751 Dec 31, 2016 0.6801 Dec 31, 2017 0.6846 Dec 31, 2018 0.6885 Dec 31, 2019 0.6919

Vega-Lite specification:
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Chart description: The graphs shows that construction labourers had the biggest gender wage gap. This was followed by General and Operations Managers. The lowest gender wage gap was in cooks.

Chart data: Men's earnings Occupation 2509 Chief executives 1920 Software developers, applications and systems software 1476 General and operations managers 1419 Accountants and auditors 1262 Sales representatives, wholesale and manufacturing 1161 Elementary and middle school teachers 1050 First-line supervisors of production and operating workers 1015 Electricians * 955 First-line supervisors of retail sales workers 861 Driver/sales workers and truck drivers 826 Carpenters * 811 Automotive service technicians and mechanics* 806 Retail salespersons 767 Production workers, all other 736 Customer service representatives 724 Construction laborers * 657 Laborers and freight, stock, and material movers, hand 610 Janitors and building cleaners 607 Grounds maintenance workers * 535 Cooks

Vega-Lite specification:
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