delen/vistext huggingface dataset:
Chart description: In March the Tourism is at its highest from foreign visitors, whereas September is the lowest period for foreign tourists to visit Sint Maarten. All the other months are quite equal to one another.

Chart data: Number of inbound tourists Month 58844 January 53886 February 58159 March 50441 April 36209 May 36435 June 45910 July 37567 August 23878 September 31232 October 41253 November 54340 December 528154 Total

Vega-Lite specification:
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Chart description: Lime production has grown in the last 9 years, by roughly 120,000 metric tons. There was a big jump in the production between 2016-17. Between 2011 to 2017, there was relatively small growth.

Chart data: Production in thousand metric tons Year 430000 2019* 424000 2018 413000 2017 350000 2016 350000 2015 360000 2014 353000 2013 348000 2012 331000 2011 311000 2010

Vega-Lite specification:
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Chart description: 2010 had the lowest lime production in thousand metric tons at just over 300,000In 2019 it peaked at over 400,000 metric tons The amounts varied a lot throughout the 9 year span.

Chart data: Production in thousand metric tons Year 430000 2019* 424000 2018 413000 2017 350000 2016 350000 2015 360000 2014 353000 2013 348000 2012 331000 2011 311000 2010

Vega-Lite specification:
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Chart description: The bar chart shows a general upward increase in lime production from 2010 to 2019 with the exception of 2015-2016 where there was a slight decrease from the year before.

Chart data: Production in thousand metric tons Year 430000 2019* 424000 2018 413000 2017 350000 2016 350000 2015 360000 2014 353000 2013 348000 2012 331000 2011 311000 2010

Vega-Lite specification:
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Chart description: Communication and entertainment apps have highest proportion of users in Q3. Health and fitness and dating apps have the lowest proportion of users. You can assume from this that users prefer to use apps for communication and entertainment purposes.

Chart data: Share of internet users Response 0.96 Chat apps (messenger) 0.96 Social networking apps 0.83 Entertainment or video apps 0.75 Map apps 0.59 Games (any types) 0.56 Music apps 0.55 Shopping apps 0.33 Banking apps 0.2 Heath and fitness apps 0.09 Dating and friendship apps

Vega-Lite specification:
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Chart description: In Indonesia the most popular apps used were social networking apps and chat apps .Entertainment apps were quite popular in Indonesia.

Chart data: Share of internet users Response 0.96 Chat apps (messenger) 0.96 Social networking apps 0.83 Entertainment or video apps 0.75 Map apps 0.59 Games (any types) 0.56 Music apps 0.55 Shopping apps 0.33 Banking apps 0.2 Heath and fitness apps 0.09 Dating and friendship apps

Vega-Lite specification:
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Chart description: Average minute rating viewership peaked on the 13th March.

Chart data: Average Minute Rating (AMR) in millions News Broadcast 1.2 Fakty po faktach - Mar 13 1.15 Konferencja prasowa - Mar 13 1.14 Kawa na ławę - Mar 15 1.05 Serwis informacyjny - Mar 14 1.04 Tak jest - Mar 13 1.02 Konferencja prasowa - Mar 14 1.01 Fakty po faktach - Mar 14 1 Loża prasowa - Mar 15 1 Bez komentarza - Mar 15 0.99 Kropka nad i - Mar 12

Vega-Lite specification:
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Chart description: The exports of trade goods to North America is volatile and goes up and down however it has dramatically increased since 1985.

Chart data: Year Export volume in billion U.S. dollars Dec 31, 1984 60.89 Dec 31, 1985 57.72 Dec 31, 1986 74.4 Dec 31, 1987 92.25 Dec 31, 1988 103.79 Dec 31, 1989 111.95 Dec 31, 1990 118.43 Dec 31, 1991 131.19 Dec 31, 1992 142.03 Dec 31, 1993 165.28 Dec 31, 1994 173.52 Dec 31, 1995 191 Dec 31, 1996 223.16 Dec 31, 1997 235.38 Dec 31, 1998 253.51 Dec 31, 1999 290.29 Dec 31, 2000 264.72 Dec 31, 2001 258.39 Dec 31, 2002 267.34 Dec 31, 2003 300.61 Dec 31, 2004 332.15 Dec 31, 2005 364.38 Dec 31, 2006 384.81 Dec 31, 2007 412.37 Dec 31, 2008 333.55 Dec 31, 2009 412.92 Dec 31, 2010 479.58 Dec 31, 2011 508.53 Dec 31, 2012 526.71 Dec 31, 2013 553.82 Dec 31, 2014 517.32 Dec 31, 2015 496.96 Dec 31, 2016 525.98 Dec 31, 2017 565.21 Dec 31, 2018 549.07

Vega-Lite specification:
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Chart description: California producing much more vegetables than any other state, hard to see exact number of other states because of the scale increase.

Chart data: State Production in tons California 13571200 Washington 1500790 Wisconsin 1212223 Minnesota 812644 Oregon 666403 Illinois 401350 Ohio 193410 New York 177700 Delaware 89450 Texas 81700

Vega-Lite specification:
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Chart description: There was a steady decline in marriages from 1999 to 2009. Even offed in 2010 then took a sudden decline from 20-2 to 2013. Rose from 2014 but starting to decline again later that year.

Chart data: Year Marriage rate per thousand inhabitants Dec 31, 1989 7.9 Dec 31, 1994 7 Dec 31, 1998 6.7 Dec 31, 1999 6.7 Dec 31, 2000 6.5 Dec 31, 2001 6.3 Dec 31, 2002 6.2 Dec 31, 2003 6.2 Dec 31, 2004 6.1 Dec 31, 2005 6 Dec 31, 2006 5.7 Dec 31, 2007 5.6 Dec 31, 2008 5.3 Dec 31, 2009 5.3 Dec 31, 2010 5.3 Dec 31, 2011 5.4 Dec 31, 2012 5.2 Dec 31, 2013 5.7 Dec 31, 2014 5.6 Dec 31, 2015 5.6 Dec 31, 2016 5.6 Dec 31, 2017 5.4

Vega-Lite specification:
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Chart description: 2015 was the highest year by some way was the highest year that fire arms were manufactured in the USA. There was a significant dip between 2000 and 2005.

Chart data: Year Number of exported firearms Dec 31, 1985 217448 Dec 31, 1986 288045 Dec 31, 1987 257182 Dec 31, 1988 261282 Dec 31, 1989 361625 Dec 31, 1990 401165 Dec 31, 1991 403791 Dec 31, 1992 431204 Dec 31, 1993 404473 Dec 31, 1994 424221 Dec 31, 1995 331997 Dec 31, 1996 275081 Dec 31, 1997 203344 Dec 31, 1998 220318 Dec 31, 1999 172627 Dec 31, 2000 172611 Dec 31, 2001 150756 Dec 31, 2002 141912 Dec 31, 2003 139920 Dec 31, 2004 194682 Dec 31, 2005 367521 Dec 31, 2006 204782 Dec 31, 2007 228488 Dec 31, 2008 194744 Dec 31, 2009 241977 Dec 31, 2010 296888 Dec 31, 2011 287554 Dec 31, 2012 393121 Dec 31, 2013 420932 Dec 31, 2014 343456 Dec 31, 2015 376818 Dec 31, 2016 488300 Dec 31, 2017 554237

Vega-Lite specification:
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Chart description: Between 2010 and 2019 the profit for the Bank of China has risen nearly 100%.  After 2014 the growth has slowed dramatically, but there was no fall in net profiy.

Chart data: Year Profit in billion yuan Dec 31, 2009 110.11 Dec 31, 2010 130.85 Dec 31, 2011 145.75 Dec 31, 2012 163.74 Dec 31, 2013 177.2 Dec 31, 2014 179.42 Dec 31, 2015 184.05 Dec 31, 2016 184.99 Dec 31, 2017 192.44 Dec 31, 2018 201.89

Vega-Lite specification:
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Chart description: The life expectancy at birth in spain between 2008 and 2018 increased steadily from around 81 to 82/83.

Chart data: Year Live expectancy at birth in years Dec 31, 2007 81.18 Dec 31, 2008 81.48 Dec 31, 2009 81.63 Dec 31, 2010 82.48 Dec 31, 2011 82.43 Dec 31, 2012 83.08 Dec 31, 2013 83.23 Dec 31, 2014 82.83 Dec 31, 2015 83.33 Dec 31, 2016 83.28 Dec 31, 2017 83.43

Vega-Lite specification:
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Chart description: The us national institution of health provided the most funding followed by the aggregate industry and the Bill and melinda gates foundation. the rest of the funders individually did not put in more than 0.05% of the total funding in 2018.

Chart data: Response Percentage of total funding U.S. National Institutes of Health 0.61 Aggregate industry 0.14 Bill & Melinda Gates Foundation 0.092 U.S. Agency for International Development 0.037 Unitaid 0.036 U.S. Department of Defense 0.014 European Commission 0.01 UK Department for International Development 0.009 German Federal Ministry of Education and Research (BMBF) 0.007 French National Agency for AIDS Research (ANRS) 0.006 French National Institute of Health and Medical Research (INSERM) 0.004 Dutch Directorate-General for International Cooperation (DGIS) 0.004

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Chart description: Player expenses hit an all time high around 2016 before dipping in 2018. The lowest player expenses were around the year 2002.

Chart data: Year Player expenses in million U.S. dollars Dec 31, 2000 85 Dec 31, 2001 71 Dec 31, 2002 87 Dec 31, 2003 91 Dec 31, 2004 98 Dec 31, 2005 124 Dec 31, 2006 133 Dec 31, 2007 127 Dec 31, 2008 150 Dec 31, 2009 131 Dec 31, 2010 148 Dec 31, 2011 139 Dec 31, 2012 138 Dec 31, 2013 155 Dec 31, 2014 199 Dec 31, 2015 207 Dec 31, 2016 204 Dec 31, 2017 199 Dec 31, 2018 208

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Chart description: The average annual expenditure on housekeeping supplies per consumer unit in the US has been on an upwards trends since 2007. Average annual expenditure on housekeeping supplies per consumer unit in the US has gone up from roughly 650 USD in 2007 to roughly 750 USD in in 2018.

Chart data: Year Average annual expenditure in U.S. dollars Dec 31, 2006 638.78 Dec 31, 2007 654.27 Dec 31, 2008 658.76 Dec 31, 2009 611.58 Dec 31, 2010 614.74 Dec 31, 2011 609.86 Dec 31, 2012 644.56 Dec 31, 2013 632 Dec 31, 2014 654.57 Dec 31, 2015 660.48 Dec 31, 2016 754.64 Dec 31, 2017 747.31 Dec 31, 2018 765.56

Vega-Lite specification:
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Chart description: Throughout the years 2007 to 2019, expenditure on housekeeping supplies increased from 600 dollars to 800 dollars.

Chart data: Year Average annual expenditure in U.S. dollars Dec 31, 2006 638.78 Dec 31, 2007 654.27 Dec 31, 2008 658.76 Dec 31, 2009 611.58 Dec 31, 2010 614.74 Dec 31, 2011 609.86 Dec 31, 2012 644.56 Dec 31, 2013 632 Dec 31, 2014 654.57 Dec 31, 2015 660.48 Dec 31, 2016 754.64 Dec 31, 2017 747.31 Dec 31, 2018 765.56

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Chart description: Over the past decade the average annual expenditure on housekeeping supplies has increased over a decade. It was its lowest over 2010-2012 and highest in 2018.

Chart data: Year Average annual expenditure in U.S. dollars Dec 31, 2006 638.78 Dec 31, 2007 654.27 Dec 31, 2008 658.76 Dec 31, 2009 611.58 Dec 31, 2010 614.74 Dec 31, 2011 609.86 Dec 31, 2012 644.56 Dec 31, 2013 632 Dec 31, 2014 654.57 Dec 31, 2015 660.48 Dec 31, 2016 754.64 Dec 31, 2017 747.31 Dec 31, 2018 765.56

Vega-Lite specification:
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Chart description: In 2008, the average annual spend on housekeeping supplies per consumer unit in the US was around $600. There were slight fluctuations in this figure until 2016, with the figure in that year still reflecting an average spend of around $600. In 2017, the average spend jumped to around $750. The average spend remained around $750 from 2017 to 2019.

Chart data: Year Average annual expenditure in U.S. dollars Dec 31, 2006 638.78 Dec 31, 2007 654.27 Dec 31, 2008 658.76 Dec 31, 2009 611.58 Dec 31, 2010 614.74 Dec 31, 2011 609.86 Dec 31, 2012 644.56 Dec 31, 2013 632 Dec 31, 2014 654.57 Dec 31, 2015 660.48 Dec 31, 2016 754.64 Dec 31, 2017 747.31 Dec 31, 2018 765.56

Vega-Lite specification:
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Chart description: I’m 2016/2017 the highest number of passengers since 2004/2005 was recorded entering and exiting Liverpool station in London.

Chart data: Number of passenger entries and exits Year 67339218 2016/17 66556690 2015/16 63631246 2014/15 63004002 2013/14 58448814 2012/13 57105400 2011/12 55769423 2010/11 51596155 2009/10 55103416 2008/09 57759809 2007/08 55265748 2006/07 47271234 2005/06 50469209 2004/05

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Chart description: The U.S. youth population has increased steadily since 2000 without decreasing, but it has been increasing more and more slowly.

Chart data: Year U.S. youth population in millions Dec 31, 1999 43.45 Dec 31, 2000 44.22 Dec 31, 2001 44.89 Dec 31, 2002 45.46 Dec 31, 2003 46.14 Dec 31, 2004 46.51 Dec 31, 2005 46.78 Dec 31, 2006 46.97 Dec 31, 2007 47.07 Dec 31, 2008 47.17 Dec 31, 2009 47.12

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Chart description: As of 2008 life expectancy at birth is increasing. In 2008 it stood just below 80 years but in 2018 stood just above 80 years.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 78.52 Dec 31, 2008 78.73 Dec 31, 2009 79.03 Dec 31, 2010 80.47 Dec 31, 2011 80.37 Dec 31, 2012 80.72 Dec 31, 2013 81.12 Dec 31, 2014 81.12 Dec 31, 2015 81.12 Dec 31, 2016 81.42 Dec 31, 2017 81.32

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Chart description: Paracetamol is the highest scoring at 19000 whilst there are 4 scoring the lowest at 2000 co-dydramol, dihydrocodeine tartrate, oxycodone hydrochloride and sumatriptan succinate. Co-codamol is the second highest scoring at 15000.

Chart data: Analgesic Drug Items in thousands Paracetamol 17378 Co-codamol (Codeine phosphate/paracetamol) 15063 Tramadol hydrochloride 6078 Morphine sulfate 5091 Codeine phosphate 4988 Buprenorphine 2396 Sumatriptan succinate 1822 Oxycodone hydrochloride 1791 Co-dydramol (Dihydrocodeine/paracetamol) 1770 Dihydrocodeine tartrate 1580

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