delen/vistext huggingface dataset:
Chart description: small has the highest registrations where midsize has the lowest.

Chart data: New registrations in thousands programming language 2685.29 Small 2163.77 Compact 2090.17 Compact SUV & crossover 1922.69 Small SUV & crossover 1101.78 Minicar 746.61 Compact premium 614.35 Premium compact SUV & crossover 540.17 Midsize premium 515.16 Premium midsize SUV & crossover 403.92 Midsize

Vega-Lite specification:
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Chart description: the amount of hospitals have gradually decreased from 2000 to 2015, had a slight increase from about 2007 to about 2011 then started to decrease again.

Chart data: Year Number of hospitals Dec 31, 1999 3635 Dec 31, 2000 3628 Dec 31, 2001 3564 Dec 31, 2002 3513 Dec 31, 2003 3460 Dec 31, 2004 3409 Dec 31, 2005 3359 Dec 31, 2006 3326 Dec 31, 2007 3322 Dec 31, 2008 3324 Dec 31, 2009 3301 Dec 31, 2010 3278 Dec 31, 2011 3229 Dec 31, 2012 3183 Dec 31, 2013 3138 Dec 31, 2014 3108 Dec 31, 2015 3100 Dec 31, 2016 3084

Vega-Lite specification:
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Chart description: In the early 2000’s there was around 3500 hospitals in Germany. This has been decreasing over time, in 2017 this has dropped to around 3000 hospitals.

Chart data: Year Number of hospitals Dec 31, 1999 3635 Dec 31, 2000 3628 Dec 31, 2001 3564 Dec 31, 2002 3513 Dec 31, 2003 3460 Dec 31, 2004 3409 Dec 31, 2005 3359 Dec 31, 2006 3326 Dec 31, 2007 3322 Dec 31, 2008 3324 Dec 31, 2009 3301 Dec 31, 2010 3278 Dec 31, 2011 3229 Dec 31, 2012 3183 Dec 31, 2013 3138 Dec 31, 2014 3108 Dec 31, 2015 3100 Dec 31, 2016 3084

Vega-Lite specification:
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Chart description: The graph shows a gradual, steady decline in the number of hospitals in Germany between 2000 and 2015. In 2000, Germany had around 3600 hospitals but by 2017 had only 3000.

Chart data: Year Number of hospitals Dec 31, 1999 3635 Dec 31, 2000 3628 Dec 31, 2001 3564 Dec 31, 2002 3513 Dec 31, 2003 3460 Dec 31, 2004 3409 Dec 31, 2005 3359 Dec 31, 2006 3326 Dec 31, 2007 3322 Dec 31, 2008 3324 Dec 31, 2009 3301 Dec 31, 2010 3278 Dec 31, 2011 3229 Dec 31, 2012 3183 Dec 31, 2013 3138 Dec 31, 2014 3108 Dec 31, 2015 3100 Dec 31, 2016 3084

Vega-Lite specification:
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Chart description: Since 2010/11, there has been a slight decline in customers dropping from mid 30 million in 2010/11 to below 30 million in 2019/20. 2010/11 and 2011/12 had the highest customer numbers for Vodafone across the period 2008-2020.

Chart data: Year Mobile customers in millions 2019/20 30.05 2018/19 29.54 2017/18 30.17 2016/17 30.72 2015/16 30.33 2014/15 30.94 2013/14 32.31 2012/13 32.41 2011/12 36.46 2010/11 36.71 2009/10 34.54 2008/09 35.45

Vega-Lite specification:
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Chart description: Real value began at close to zero on this scale and increased very little between 1960 and 1970, with value increasing sharply to approximately 150 billion dollars between 1970 and 1980. Value declined to just below 100 billion dollars between 1980 and 1990, and declined slightly further by 1995 to approximately 75 billion. An even sharper rise between 1995 and approximately 2007 peaked at 425 billion before dropping to 250 billion and increasing again to 350 billion by 2010. The value continued to rise through 2011 at 400 billion. Overall, value increased markedly over time.

Chart data: Year Real value in billion U.S. dollars Dec 31, 1959 8.91 Dec 31, 1969 12.34 Dec 31, 1979 164.75 Dec 31, 1989 88.32 Dec 31, 1994 70.64 Dec 31, 1999 151.95 Dec 31, 2004 287.52 Dec 31, 2005 320.57 Dec 31, 2006 340.29 Dec 31, 2007 449.64 Dec 31, 2008 245.23 Dec 31, 2009 317.29 Dec 31, 2010 399.43

Vega-Lite specification:
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Chart description: The quantity of roses sold in America has dropped substantially since 2002.

Chart data: Year Sales in 1,000 stems 2002 157253 2003 123483 2004 103860 2005 99771 2006** 82138 2007 67701 2008 57999 2009 42031 2010 39497 2011 37004 2012 32736 2013 28626 2014 30555 2015 27812 2018 29774

Vega-Lite specification:
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Chart description: The year 2002 had the most quantity of the roses sold in 1000 stems which 150000. The years 2013 and 2015 has the least number of roses sold. The number of roses sold has dropped gradually from 2003 until 2018.

Chart data: Year Sales in 1,000 stems 2002 157253 2003 123483 2004 103860 2005 99771 2006** 82138 2007 67701 2008 57999 2009 42031 2010 39497 2011 37004 2012 32736 2013 28626 2014 30555 2015 27812 2018 29774

Vega-Lite specification:
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Chart description: The trends seen are that the sale of roses (per 1000 stems) constantly decreases from the years 2002 to 2013. After 2013, it slightly increases before decreasing again in 2014. The graph in 2015 shows the same amount of roses sold in 2013. There is no data available for the amount of roses sold between 2015 to 2017. The data shows the amount of roses sold in 2018 is the same amount sold in 2014.

Chart data: Year Sales in 1,000 stems 2002 157253 2003 123483 2004 103860 2005 99771 2006** 82138 2007 67701 2008 57999 2009 42031 2010 39497 2011 37004 2012 32736 2013 28626 2014 30555 2015 27812 2018 29774

Vega-Lite specification:
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Chart description: Between 2009 and 2019 the Brunswick number of employees varied from 15000 in 2009 to approximately 13000 in 2019. Each year the anumber of employees varies. there was the highest number in 2012 and the lowest number in 2014.

Chart data: Year Number of employees Dec 31, 2008 15003 Dec 31, 2009 15290 Dec 31, 2010 15356 Dec 31, 2011 16177 Dec 31, 2012 15701 Dec 31, 2013 12165 Dec 31, 2014 12607 Dec 31, 2015 14415 Dec 31, 2016 15116 Dec 31, 2017 13084 Dec 31, 2018 12828

Vega-Lite specification:
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Chart description: Overal the number of Brunswick employees worldwide has decined from 2009 to 2019. The steepest drop was in 2013 to 2014. In 2009 the number of employees was 15,000 and by 2019 it was roughly 12,500.

Chart data: Year Number of employees Dec 31, 2008 15003 Dec 31, 2009 15290 Dec 31, 2010 15356 Dec 31, 2011 16177 Dec 31, 2012 15701 Dec 31, 2013 12165 Dec 31, 2014 12607 Dec 31, 2015 14415 Dec 31, 2016 15116 Dec 31, 2017 13084 Dec 31, 2018 12828

Vega-Lite specification:
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Chart description: The top language in the bar chart in Welsh schools is Polish followed by Arabic. It is in alphabetical order by language name although the bar chart isn’t in order.

Chart data: geographic region Number of speakers Polish 4961 Arabic 3484 Bengali 3019 Urdu 1508 Chinese 1466 Panjabi 1242 Romanian 1091 Somali 852 Portuguese 846 Tagalog/Filipino 830

Vega-Lite specification:
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Chart description: There is an overall increase in the total number of tribal casinos in the U.S. from 2005 to 2019. The only time there was a decrease in the total number was from 2005 to 2006. The sharpest increase occurred from 2006 to 2007. The rate of increase levelled out at around 2009 and showed slow but steady increase till 2019.

Chart data: Year Number of tribal casinos Dec 31, 2004 406 Dec 31, 2005 372 Dec 31, 2006 424 Dec 31, 2007 423 Dec 31, 2008 456 Dec 31, 2009 456 Dec 31, 2010 459 Dec 31, 2011 466 Dec 31, 2013 474 Dec 31, 2014 486 Dec 31, 2015 500 Dec 31, 2016 508 Dec 31, 2017 514 Dec 31, 2018 524

Vega-Lite specification:
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Chart description: Infant mortality has seen a steady decline since 2009.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 86.2 Dec 31, 2009 84.4 Dec 31, 2010 82.7 Dec 31, 2011 81 Dec 31, 2012 79.3 Dec 31, 2013 77.7 Dec 31, 2014 76.1 Dec 31, 2015 74.4 Dec 31, 2016 72.6 Dec 31, 2017 70.8 Dec 31, 2018 69.1

Vega-Lite specification:
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Chart description: Overall the unit sales have declined in the 10 year period of 2008 to 2018. There was a very sharp decline between 2013-2016. The unit sales stated at 1.8 million units in 2008 and end in 1 million unit in 2018.

Chart data: Year Unit sales in millions Dec 31, 2007 1.9 Dec 31, 2008 1.4 Dec 31, 2009 1.6 Dec 31, 2010 2.1 Dec 31, 2011 1.7 Dec 31, 2012 1.7 Dec 31, 2013 1.5 Dec 31, 2014 1.3 Dec 31, 2015 0.9 Dec 31, 2016 0.9 Dec 31, 2017 1

Vega-Lite specification:
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Chart description: Poland seems to have the highest ammount of immigrants going into Iceland.

Chart data: Number of immigrants Country 2642 Poland 865 Lithuania 563 Romania 358 Latvia 345 United Kingdom 341 Czechia 291 Spain 277 United States 249 Portugal 243 Germany 197 Philippines 176 France 150 Croatia 142 Serbia 134 Venezuela 127 Denmark 117 Slovakia 115 Italy 101 Bulgaria 91 Hungary

Vega-Lite specification:
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Chart description: The country with the highest daily use is Indonesia. The country with the lowest daily use is Japan. If you ignore the highest and lowest the rest of the countries have quite similar usage.

Chart data: Country Average daily usage time in minutes Indonesia 66 India 62 Philippines 56 China 55 Malaysia 54 Thailand 50 South Korea 50 Vietnam 47 Singapore 46 Japan 38

Vega-Lite specification:
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Chart description: The country showing the least web usage on a smartphone is Japan. 50% of the countries listed in the Asia Pacific Region spend in excess of 50 minutes per day using their smartphone to access the mobile web whereas 50% of the countries spend less than 50 minutes per day. The chart shows lists each country in the area and the average daily number of minutes spent accessing the mobile web.

Chart data: Country Average daily usage time in minutes Indonesia 66 India 62 Philippines 56 China 55 Malaysia 54 Thailand 50 South Korea 50 Vietnam 47 Singapore 46 Japan 38

Vega-Lite specification:
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Chart description: Indonesia has the highest daily usage of mobile internet at 65minutes a day, closely followed by India at 62. The lowest users are in Japan with only 39 minutes a day. Most other AP countries use between 55 and 45 minutes a day.

Chart data: Country Average daily usage time in minutes Indonesia 66 India 62 Philippines 56 China 55 Malaysia 54 Thailand 50 South Korea 50 Vietnam 47 Singapore 46 Japan 38

Vega-Lite specification:
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Chart description: Steady decrease from 2000 to 2015Huge decrease from 2015 to 2019.

Chart data: Year Per capita consumption in pounds Dec 31, 1999 9 Dec 31, 2000 9.2 Dec 31, 2001 9 Dec 31, 2002 9.2 Dec 31, 2003 9 Dec 31, 2004 8.7 Dec 31, 2005 8.3 Dec 31, 2006 9.2 Dec 31, 2007 9.1 Dec 31, 2008 9.2 Dec 31, 2009 9.2 Dec 31, 2010 8.2 Dec 31, 2011 8.7 Dec 31, 2012 8.9 Dec 31, 2013 7.6 Dec 31, 2014 8.6 Dec 31, 2015 7.2 Dec 31, 2016 7.2 Dec 31, 2017 6.8 Dec 31, 2018 6.77

Vega-Lite specification:
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Chart description: There has been an overall decline in the consumption of sweet corn since 2000. The rate of decline has increased since 2015. Consumption was fairly stable between 2000 and 2005.

Chart data: Year Per capita consumption in pounds Dec 31, 1999 9 Dec 31, 2000 9.2 Dec 31, 2001 9 Dec 31, 2002 9.2 Dec 31, 2003 9 Dec 31, 2004 8.7 Dec 31, 2005 8.3 Dec 31, 2006 9.2 Dec 31, 2007 9.1 Dec 31, 2008 9.2 Dec 31, 2009 9.2 Dec 31, 2010 8.2 Dec 31, 2011 8.7 Dec 31, 2012 8.9 Dec 31, 2013 7.6 Dec 31, 2014 8.6 Dec 31, 2015 7.2 Dec 31, 2016 7.2 Dec 31, 2017 6.8 Dec 31, 2018 6.77

Vega-Lite specification:
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Chart description: The poverty rate has been very unsteady through all of the years. I’m 15 years the poverty rate has gone from 6% to just under 8%.

Chart data: Response Percentage of population Dec 31, 1999 0.053 Dec 31, 2000 0.06 Dec 31, 2001 0.064 Dec 31, 2002 0.077 Dec 31, 2003 0.076 Dec 31, 2004 0.075 Dec 31, 2005 0.08 Dec 31, 2006 0.071 Dec 31, 2007 0.076 Dec 31, 2008 0.085 Dec 31, 2009 0.083 Dec 31, 2010 0.088 Dec 31, 2011 0.1 Dec 31, 2012 0.087 Dec 31, 2013 0.092 Dec 31, 2014 0.082 Dec 31, 2015 0.073 Dec 31, 2016 0.077 Dec 31, 2017 0.076 Dec 31, 2018 0.073

Vega-Lite specification:
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Chart description: Romelu Lukako is the most popular F. C. Internazionale Milano players on Instagram as of May 29. 2020 with just over 500 million followers. The next most popular player, Ashley Young has 2.5 million folowers. In third and fourth place are Diego Godin and Lautaro Martinez at just under 2 million followers each.

Chart data: F\.C\. Internazionale Milano player Number of followers in millions omelu Lukaku 5.3 shley Young 2.49 iego Godín 1.81 autaro Martínez 1.75 wadwo Asamoah 0.93 arcelo Brozovic 0.83 ilan Skriniar 0.65 anilo D'Ambrosio 0.57 tefan De Vrij 0.49 icolò Barella 0.46

Vega-Lite specification:
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Chart description: Lukaku is the most followed player on Instagram. Barella has the least followers. Young has 2.5 million followers. 6 players are yet to reach 1,000,000 followers.

Chart data: F\.C\. Internazionale Milano player Number of followers in millions omelu Lukaku 5.3 shley Young 2.49 iego Godín 1.81 autaro Martínez 1.75 wadwo Asamoah 0.93 arcelo Brozovic 0.83 ilan Skriniar 0.65 anilo D'Ambrosio 0.57 tefan De Vrij 0.49 icolò Barella 0.46

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": "data/10779.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d98445"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "F\\.C\\. Internazionale Milano player"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Number of followers in millions"}, "field": "Number of followers in millions"}}, "title": ["Ten most popular F.C . Internazionale Milano", "players on Instagram as of May 29 , 2020", "(in million followers)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: From 2015 there is a slight increase in the share GDP. This share increases in 2016 and 2017. From 2018 there is a small decrease until 2020 where it then levels out.

Chart data: Share in global GDP adjusted for PPP Year 0.0182 2015 0.0184 2016 0.0188 2017 0.0187 2018 0.0184 2019 0.0183 2020* 0.0183 2021* 0.0183 2022* 0.0182 2023* 0.0182 2024* 0.0182 2025*

Vega-Lite specification:
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Chart description: the lowest percentage change in turnover occurred in 2009, while the highest occurred in 2015. Overall, percentage change in turnover appears to increase with time.

Chart data: Year Percentage change in turnover Dec 31, 2007 −0.062 Dec 31, 2008 −0.168 Dec 31, 2009 −0.004 Dec 31, 2010 −0.036 Dec 31, 2011 −0.003 Dec 31, 2012 −0.081 Dec 31, 2013 −0.012 Dec 31, 2014 0.078 Dec 31, 2015 0.037 Dec 31, 2016 0.039 Dec 31, 2017 0.064 Dec 31, 2018 −0.034

Vega-Lite specification:
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Chart description: Lower sales figures were the most powerful impact that coronavirus had on agriculture. Protesting amongst the employees and higher demand were negibile impacts of covid on agriculture.

Chart data: Response Share of respondents Lower sales 0.57 Outsourcing of external services (logistics) 0.23 Sourcing of raw materials 0.14 Absent employees 0.13 Canceled trade fairs 0.12 Pick up of raw material from manufacturers 0.08 Prevention in workplace 0.05 Request to lower prices 0.04 Protesting among the employees 0.01 Higher demand 0.01

Vega-Lite specification:
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Chart description: The number of withdrawals climbed steadily until 2008-2009 when it dipped slightly, it then began increasing until  2012 and it has been steadily declining ever since.

Chart data: Year Number of cash withdrawals in millions Dec 31, 2000 2174 Dec 31, 2001 2268 Dec 31, 2002 2373 Dec 31, 2003 2528 Dec 31, 2004 2699 Dec 31, 2005 2752 Dec 31, 2006 2836 Dec 31, 2007 2866 Dec 31, 2008 2827 Dec 31, 2009 2786 Dec 31, 2010 2874 Dec 31, 2011 2915 Dec 31, 2012 2899 Dec 31, 2013 2831 Dec 31, 2014 2797 Dec 31, 2015 2733 Dec 31, 2016 2598 Dec 31, 2017 2420

Vega-Lite specification:
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Chart description: In 2001 the number of cash withdrawals was approximately 2,200 million. This increased steadily, with a small dip, until 2012 when the number reached approximately 2,900 million. There was then a steady decline until the number reached 2,400 million in 2018.

Chart data: Year Number of cash withdrawals in millions Dec 31, 2000 2174 Dec 31, 2001 2268 Dec 31, 2002 2373 Dec 31, 2003 2528 Dec 31, 2004 2699 Dec 31, 2005 2752 Dec 31, 2006 2836 Dec 31, 2007 2866 Dec 31, 2008 2827 Dec 31, 2009 2786 Dec 31, 2010 2874 Dec 31, 2011 2915 Dec 31, 2012 2899 Dec 31, 2013 2831 Dec 31, 2014 2797 Dec 31, 2015 2733 Dec 31, 2016 2598 Dec 31, 2017 2420

Vega-Lite specification:
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Chart description: From 2005 you can see the there becomes a spike for  around 10 years and after these 10 years you can see it starting to fall again.

Chart data: Year Number of cash withdrawals in millions Dec 31, 2000 2174 Dec 31, 2001 2268 Dec 31, 2002 2373 Dec 31, 2003 2528 Dec 31, 2004 2699 Dec 31, 2005 2752 Dec 31, 2006 2836 Dec 31, 2007 2866 Dec 31, 2008 2827 Dec 31, 2009 2786 Dec 31, 2010 2874 Dec 31, 2011 2915 Dec 31, 2012 2899 Dec 31, 2013 2831 Dec 31, 2014 2797 Dec 31, 2015 2733 Dec 31, 2016 2598 Dec 31, 2017 2420

Vega-Lite specification:
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Chart description: There was a significant drop in Class 1 rail Mileage between 2005 and 2010. There has been a general decrease in rail mileage since 1990 but it has stabilized since 2010.

Chart data: Year Length in statute miles Dec 31, 1989 119758 Dec 31, 1994 108264 Dec 31, 1999 99250 Dec 31, 2004 95830 Dec 31, 2005 94942 Dec 31, 2006 9440 Dec 31, 2007 94209 Dec 31, 2008 94048 Dec 31, 2009 95700 Dec 31, 2010 95514 Dec 31, 2011 95391 Dec 31, 2012 95235 Dec 31, 2013 94372 Dec 31, 2014 93628 Dec 31, 2015 93339 Dec 31, 2016 93150 Dec 31, 2017 92837

Vega-Lite specification:
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