delen/vistext huggingface dataset:
Chart description: The amount is fairly consistent staying around the 9 million mark it starts to gradually increase from 2012 to 2016 peaking at just under 10 million from 2016 to 2018 and then starts to dip again.

Chart data: Year Unemployed people in millions Dec 31, 2008 9.21 Dec 31, 2009 9.08 Dec 31, 2010 9.22 Dec 31, 2011 9.17 Dec 31, 2012 9.26 Dec 31, 2013 9.52 Dec 31, 2014 9.66 Dec 31, 2015 9.82 Dec 31, 2016 9.72 Dec 31, 2017 9.74 Dec 31, 2018 9.45

Vega-Lite specification:
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Chart description: unemployed people in China is steady not dropping below 9 million.

Chart data: Year Unemployed people in millions Dec 31, 2008 9.21 Dec 31, 2009 9.08 Dec 31, 2010 9.22 Dec 31, 2011 9.17 Dec 31, 2012 9.26 Dec 31, 2013 9.52 Dec 31, 2014 9.66 Dec 31, 2015 9.82 Dec 31, 2016 9.72 Dec 31, 2017 9.74 Dec 31, 2018 9.45

Vega-Lite specification:
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Chart description: Moscow and st Petersburg have the largest populations. All other cities have a very low but similar population.

Chart data: Population in thousands City in Russia 12678.08 Moscow 5398.06 Saint Petersburg 1625.31 Novosibirsk 1494.75 Yekaterinburg 1252.24 Nizhny Novgorod 1257.39 Kazan 1196.68 Chelyabinsk 1156.66 Samara 1154.51 Omsk 1137.9 Rostov-on-Don 1128.79 Ufa 1093.77 Krasnoyarsk 1058.26 Voronezh 1055.4 Perm 1009 Volgograd

Vega-Lite specification:
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Chart description: From 1999 to 2006 the unemployment rate stayed around 0.05. In 2007/2008 it spiked heavily to 0.015. In 2012 the employment rate gradually dropped until it reached around 0.05 again in 2018.

Chart data: Year Unemployment rate Dec 31, 1998 0.058 Dec 31, 1999 0.0432 Dec 31, 2000 0.0368 Dec 31, 2001 0.0422 Dec 31, 2002 0.0448 Dec 31, 2003 0.0449 Dec 31, 2004 0.0434 Dec 31, 2005 0.0442 Dec 31, 2006 0.0498 Dec 31, 2007 0.0677 Dec 31, 2008 0.1261 Dec 31, 2009 0.1453 Dec 31, 2010 0.1535 Dec 31, 2011 0.1545 Dec 31, 2012 0.1374 Dec 31, 2013 0.1186 Dec 31, 2014 0.0991 Dec 31, 2015 0.0837 Dec 31, 2016 0.0671 Dec 31, 2017 0.0574 Dec 31, 2018 0.0493 Dec 31, 2019 0.0516

Vega-Lite specification:
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Chart description: This shows that unemployment started to peak from 2008 and hit the highest peak in 2012 and then started to fall again up until 2018 then looks like its started to creep back up.

Chart data: Year Unemployment rate Dec 31, 1998 0.058 Dec 31, 1999 0.0432 Dec 31, 2000 0.0368 Dec 31, 2001 0.0422 Dec 31, 2002 0.0448 Dec 31, 2003 0.0449 Dec 31, 2004 0.0434 Dec 31, 2005 0.0442 Dec 31, 2006 0.0498 Dec 31, 2007 0.0677 Dec 31, 2008 0.1261 Dec 31, 2009 0.1453 Dec 31, 2010 0.1535 Dec 31, 2011 0.1545 Dec 31, 2012 0.1374 Dec 31, 2013 0.1186 Dec 31, 2014 0.0991 Dec 31, 2015 0.0837 Dec 31, 2016 0.0671 Dec 31, 2017 0.0574 Dec 31, 2018 0.0493 Dec 31, 2019 0.0516

Vega-Lite specification:
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Chart description: Unemployment rate reached a 21 year high around 2012, then settled back down to levels similar to the start of the millennium at around 2019.

Chart data: Year Unemployment rate Dec 31, 1998 0.058 Dec 31, 1999 0.0432 Dec 31, 2000 0.0368 Dec 31, 2001 0.0422 Dec 31, 2002 0.0448 Dec 31, 2003 0.0449 Dec 31, 2004 0.0434 Dec 31, 2005 0.0442 Dec 31, 2006 0.0498 Dec 31, 2007 0.0677 Dec 31, 2008 0.1261 Dec 31, 2009 0.1453 Dec 31, 2010 0.1535 Dec 31, 2011 0.1545 Dec 31, 2012 0.1374 Dec 31, 2013 0.1186 Dec 31, 2014 0.0991 Dec 31, 2015 0.0837 Dec 31, 2016 0.0671 Dec 31, 2017 0.0574 Dec 31, 2018 0.0493 Dec 31, 2019 0.0516

Vega-Lite specification:
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Chart description: GDP has risen steadily between 1948 and 2019 from £500000 to over £2 million.

Chart data: Year GDP in million GBP Dec 31, 1947 365418 Dec 31, 1948 377558 Dec 31, 1949 390150 Dec 31, 1950 404591 Dec 31, 1951 410688 Dec 31, 1952 433512 Dec 31, 1953 452371 Dec 31, 1954 470517 Dec 31, 1955 478458 Dec 31, 1956 487920 Dec 31, 1957 494469 Dec 31, 1958 515587 Dec 31, 1959 548182 Dec 31, 1960 562843 Dec 31, 1961 568897 Dec 31, 1962 596399 Dec 31, 1963 630411 Dec 31, 1964 643723 Dec 31, 1965 653694 Dec 31, 1966 671765 Dec 31, 1967 708384 Dec 31, 1968 721970 Dec 31, 1969 741420 Dec 31, 1970 768159 Dec 31, 1971 801160 Dec 31, 1972 853211 Dec 31, 1973 831823 Dec 31, 1974 819361 Dec 31, 1975 844053 Dec 31, 1976 864606 Dec 31, 1977 900728 Dec 31, 1978 934253 Dec 31, 1979 915042 Dec 31, 1980 908707 Dec 31, 1981 926621 Dec 31, 1982 965509 Dec 31, 1983 987166 Dec 31, 1984 1027873 Dec 31, 1985 1060255 Dec 31, 1986 1117428 Dec 31, 1987 1181481 Dec 31, 1988 1211937 Dec 31, 1989 1220831 Dec 31, 1990 1207364 Dec 31, 1991 1212206 Dec 31, 1992 1242396 Dec 31, 1993 1290179 Dec 31, 1994 1322839 Dec 31, 1995 1355798 Dec 31, 1996 1423254 Dec 31, 1997 1476025 Dec 31, 1998 1524662 Dec 31, 1999 1578121 Dec 31, 2000 1621208 Dec 31, 2001 1656531 Dec 31, 2002 1711559 Dec 31, 2003 1750690 Dec 31, 2004 1802435 Dec 31, 2005 1850989 Dec 31, 2006 1894682 Dec 31, 2007 1889401 Dec 31, 2008 1811672 Dec 31, 2009 1849247 Dec 31, 2010 1872838 Dec 31, 2011 1899626 Dec 31, 2012 1941155 Dec 31, 2013 1996725 Dec 31, 2014 2043909 Dec 31, 2015 2079113 Dec 31, 2016 2115296 Dec 31, 2017 2141792 Dec 31, 2018 2168798

Vega-Lite specification:
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Chart description: The top cause of death is listed as Lower respiratory infections, at over 75 deaths per 100,000 population. The lowest is Road injury, at just under 25 deaths. Other top causes include Diarrhoeal diseases, at just under 60 deaths, and Ischaemic heart disease, at just over 50 deaths. The other causes listed are HIV/AIDS, Malaria, Preterm birth complications, Stroke, and Tuberculosis.

Chart data: Cause of death Deaths per 100,000 population Lower respiratory infections 75.8 Diarrhoeal diseases 58.2 Ischaemic heart disease 52.9 HIV/AIDS 44.3 Stroke 42.2 Malaria 37.6 Tuberculosis 34.3 Preterm birth complications 32.2 Birth asphyxia and birth trauma 30.5 Road injury 29.4

Vega-Lite specification:
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Chart description: Saudi Arabia had the largest amount of Health and Fitness club industry revenue in the Middle East and North Africa in 2019, earning over 900 million US dollars. Jordan earned the least revenue in 2019, with the figure coming in at approximately 50 million US dollars.

Chart data: Industry revenue in million U.S. dollars Country 959 Saudi Arabia 419.1 United Arab Emirates 434.4 Egypt 240.9 Kuwait 121 Lebanon 94.5 Morocco 67.4 Bahrain 71 Qatar 65.3 Oman 42.4 Jordan

Vega-Lite specification:
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Chart description: A bar chart based on Club World Cup, he amount of titles titles won by each club between 2000 to 2019 . The association football club names are on the y-axis.  And the titles are on the y axis, with a maximum of 4.

Chart data: Club World Cup titles association football club 4 Real Madrid (2014, 2016, 2017 & 2018) 3 FC Barcelona (2009, 2011 & 2015) 2 Sport Club Corinthians Paulista (2000 & 2012) 1 São Paulo FC (2005) 1 Sport Club Internacional (2006) 1 Manchester United FC (2008) 1 FC Internazionale Milano (2010) 1 A.C. Milan (2007) 1 FC Bayern Munich (2013) 1 Liverpool FC (2019)

Vega-Lite specification:
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Chart description: GDP steadily increased from 2000 to 2019 but it was not linear as there was a slight dip in GDP in 2009.

Chart data: Year GDP in million chained 2012 Canadian dollars Dec 31, 1999 154965.9 Dec 31, 2000 155830.5 Dec 31, 2001 161762.2 Dec 31, 2002 165799.6 Dec 31, 2003 172580.4 Dec 31, 2004 180855 Dec 31, 2005 189185.8 Dec 31, 2006 194682.7 Dec 31, 2007 195789.1 Dec 31, 2008 190709.2 Dec 31, 2009 195819.3 Dec 31, 2010 201413 Dec 31, 2011 206590.7 Dec 31, 2012 211555.3 Dec 31, 2013 219060.9 Dec 31, 2014 224153.4 Dec 31, 2015 230763.5 Dec 31, 2016 239852.3 Dec 31, 2017 246260.2 Dec 31, 2018 253048.7

Vega-Lite specification:
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Chart description: this chart is harder to understand but the chart show a incress over every 5 years.

Chart data: Year GDP in million chained 2012 Canadian dollars Dec 31, 1999 154965.9 Dec 31, 2000 155830.5 Dec 31, 2001 161762.2 Dec 31, 2002 165799.6 Dec 31, 2003 172580.4 Dec 31, 2004 180855 Dec 31, 2005 189185.8 Dec 31, 2006 194682.7 Dec 31, 2007 195789.1 Dec 31, 2008 190709.2 Dec 31, 2009 195819.3 Dec 31, 2010 201413 Dec 31, 2011 206590.7 Dec 31, 2012 211555.3 Dec 31, 2013 219060.9 Dec 31, 2014 224153.4 Dec 31, 2015 230763.5 Dec 31, 2016 239852.3 Dec 31, 2017 246260.2 Dec 31, 2018 253048.7

Vega-Lite specification:
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Chart description: The graph shows a steady increase year on year. Increase 100,000 over the time period from approximately 150,000 to 250,000.

Chart data: Year GDP in million chained 2012 Canadian dollars Dec 31, 1999 154965.9 Dec 31, 2000 155830.5 Dec 31, 2001 161762.2 Dec 31, 2002 165799.6 Dec 31, 2003 172580.4 Dec 31, 2004 180855 Dec 31, 2005 189185.8 Dec 31, 2006 194682.7 Dec 31, 2007 195789.1 Dec 31, 2008 190709.2 Dec 31, 2009 195819.3 Dec 31, 2010 201413 Dec 31, 2011 206590.7 Dec 31, 2012 211555.3 Dec 31, 2013 219060.9 Dec 31, 2014 224153.4 Dec 31, 2015 230763.5 Dec 31, 2016 239852.3 Dec 31, 2017 246260.2 Dec 31, 2018 253048.7

Vega-Lite specification:
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Chart description: Year on year there has been a steady increase in the urban population of Malaysia.

Chart data: Year Urban population in thousands Dec 31, 2004 17087.6 Dec 31, 2005 17642.5 Dec 31, 2006 18201.4 Dec 31, 2007 18767.7 Dec 31, 2008 19344.4 Dec 31, 2009 19934.9 Dec 31, 2010 20505.2 Dec 31, 2011 21083 Dec 31, 2012 21665.2 Dec 31, 2013 22240.8 Dec 31, 2014 22800.6 Dec 31, 2015 23340.5 Dec 31, 2016 23859.4 Dec 31, 2017 24363.7

Vega-Lite specification:
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Chart description: the results seem to consistenly decrease until 2015, where the results begin to increase.

Chart data: Number of fatalities Year 937 2019* 818 2018 818 2017 760 2016 749 2015 767 2014 702 2013 669 2012 681 2011 735 2010 695 2009 804 2008 851 2007 903 2006 884 2005

Vega-Lite specification:
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Chart description: Medtronic (USA) had the largest shares of business in 2010 at 0.59. The lowest share belongs to Roche, Switzerland with 0.25.

Chart data: U.S. share of business Medical technology company 0.59 Medtronic, United States 0.56 Boston Scientific, United States 0.55 Covidien, United Kingdom 0.48 Johnson & Johnson, United States 0.47 GE, United States 0.45 Becton Dickinson, United States 0.45 Philips, Netherlands 0.39 Abbott, United States* 0.36 Siemens, Germany 0.26 Roche, Switzerland

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Chart description: Overall the office property vacancy rate in London has decreased over the years 2006 to 2019. Vacany rates reached a peak of 0.1 in 2009 and have consistently decreased over the years to 2019 reaching a low of 0,4..

Chart data: Year Office vacancy rate 2019* 0.044 2018* 0.046 2017* 0.046 2016* 0.053 2015* 0.054 2014* 0.061 2013 0.07 2012 0.072 2011 0.073 2010 0.081 2009 0.102 2008 0.082 2007 0.062 2006 0.065

Vega-Lite specification:
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Chart description: 2009 saw the highest office vacancy rate in London. 2019 saw the lowest office vacancy rate in London. The office vacancy rate has been steadily declining since 2009.

Chart data: Year Office vacancy rate 2019* 0.044 2018* 0.046 2017* 0.046 2016* 0.053 2015* 0.054 2014* 0.061 2013 0.07 2012 0.072 2011 0.073 2010 0.081 2009 0.102 2008 0.082 2007 0.062 2006 0.065

Vega-Lite specification:
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Chart description: The  office properties vacancy rate in London has steadily decreased since 2009 where such rates peaked at 0.12. The years 2017-2019 show fairly stable levels of vacancy rate fluctuating between 0.04 and 0.05.

Chart data: Year Office vacancy rate 2019* 0.044 2018* 0.046 2017* 0.046 2016* 0.053 2015* 0.054 2014* 0.061 2013 0.07 2012 0.072 2011 0.073 2010 0.081 2009 0.102 2008 0.082 2007 0.062 2006 0.065

Vega-Lite specification:
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Chart description: Overall the trend for office vacancy has been going down since 2009. 2009 was particularly high.

Chart data: Year Office vacancy rate 2019* 0.044 2018* 0.046 2017* 0.046 2016* 0.053 2015* 0.054 2014* 0.061 2013 0.07 2012 0.072 2011 0.073 2010 0.081 2009 0.102 2008 0.082 2007 0.062 2006 0.065

Vega-Lite specification:
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Chart description: chart shows predicted spend is increasing over the tears.

Chart data: Year Spending in billion euros 2014 36.3 2015 37 2016 37.6 2017 40.5 2018 42.5 2019 43.7 2020* 44.8 2021* 46 2022* 47.3 2023* 48.8 2024* 50.4 2025* 52 2026* 53.8 2027* 55.3 2028* 56.8 2029* 57.9

Vega-Lite specification:
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Chart description: Spending has always increased each year. 2017 saw a larger increase in spending than previous years. A lot of the x-axis has future years plotted, and future spends plotted.

Chart data: Year Spending in billion euros 2014 36.3 2015 37 2016 37.6 2017 40.5 2018 42.5 2019 43.7 2020* 44.8 2021* 46 2022* 47.3 2023* 48.8 2024* 50.4 2025* 52 2026* 53.8 2027* 55.3 2028* 56.8 2029* 57.9

Vega-Lite specification:
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Chart description: Dogs are the most popular pets in the united kingdom as of 2019/20. Cats follow behind and any other pets do not have a large majority.

Chart data: Share of households Response 0.41 Any pet 0.23 Dogs 0.16 Cats 0.01 Rabbits 0.01 Indoor birds 0.01 Guinea pigs 0.005 Hamsters 0.005 Tortoises and turtles 0.004 Snakes 0.003 Lizards 0.003 Domestic fowl 0.002 Horses and ponies 0.002 Gerbils 0.001 Rats 0.001 Ferrets 0.001 Pigeons 0.0009 Frogs and toads 0.0004 People keep insects 0.0003 Newts/salamanders

Vega-Lite specification:
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Chart description: Around 40% of households in the U.K. have any kind of pet. More households own dogs than those that own cats.

Chart data: Share of households Response 0.41 Any pet 0.23 Dogs 0.16 Cats 0.01 Rabbits 0.01 Indoor birds 0.01 Guinea pigs 0.005 Hamsters 0.005 Tortoises and turtles 0.004 Snakes 0.003 Lizards 0.003 Domestic fowl 0.002 Horses and ponies 0.002 Gerbils 0.001 Rats 0.001 Ferrets 0.001 Pigeons 0.0009 Frogs and toads 0.0004 People keep insects 0.0003 Newts/salamanders

Vega-Lite specification:
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Chart description: Between 2000 and 2019 there were between 300,000 and 400,000 laying hens in the US.

Chart data: Year Number in thousands Dec 31, 1999 333593 Dec 31, 2000 340317 Dec 31, 2001 340209 Dec 31, 2002 341099 Dec 31, 2003 344371 Dec 31, 2004 349764 Dec 31, 2005 352316 Dec 31, 2006 346613 Dec 31, 2007 339859 Dec 31, 2008 341005 Dec 31, 2009 341884 Dec 31, 2010 338944 Dec 31, 2011 345730 Dec 31, 2012 351478 Dec 31, 2013 362034 Dec 31, 2014 336193 Dec 31, 2015 360431 Dec 31, 2016 378787 Dec 31, 2017 394361 Dec 31, 2018 399656

Vega-Lite specification:
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Chart description: The graph shows that the ticket prices have not varied hugely over the years, but that 2015/2016 was actually lower than 2014/2015.

Chart data: Year Average ticket price in U.S. dollars 2015/16 66.49 2014/15 70.79 2013/14 72.64 2012/13 72.96 2011/12 68.55 2010/11 68.55 2009/10 68.55 2008/09 68.55 2007/08 65.43 2006/07 57.04

Vega-Lite specification:
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Chart description: Ticket prices were at the their highest in 2012/2013Ticket prices were at their lowest in 2006/2007 Ticket prices have gradually reduced since they reached their peak in 2012.

Chart data: Year Average ticket price in U.S. dollars 2015/16 66.49 2014/15 70.79 2013/14 72.64 2012/13 72.96 2011/12 68.55 2010/11 68.55 2009/10 68.55 2008/09 68.55 2007/08 65.43 2006/07 57.04

Vega-Lite specification:
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Chart description: The life expectancy is typically over 10 years with one exception being the Compactor.

Chart data: Average life expectancy in years Household appliance 18 Ranges, Gas 16 Ranges, Electric 13 Refrigerators, Standard 12 Freezers 12 Dryers, Gas 12 Dryers, Electric 12 Water Heaters, Electric 12 Disposers 11 Dishwashers 11 Washers 11 Water Heaters, Gas 10 Microwave Ovens 7 Compactors

Vega-Lite specification:
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