delen/vistext huggingface dataset:
Chart description: Household income has gradually increased throughout the years as described in the graph, this is what you would like to see when you take into account inflation.

Chart data: Year Household income in current U.S. dollars Dec 31, 1989 29224 Dec 31, 1990 30737 Dec 31, 1991 29358 Dec 31, 1992 30510 Dec 31, 1993 31293 Dec 31, 1994 30863 Dec 31, 1995 31637 Dec 31, 1996 32740 Dec 31, 1997 37090 Dec 31, 1998 36995 Dec 31, 1999 39783 Dec 31, 2000 42704 Dec 31, 2001 39734 Dec 31, 2002 41166 Dec 31, 2003 43846 Dec 31, 2004 45245 Dec 31, 2005 46657 Dec 31, 2006 47215 Dec 31, 2007 46914 Dec 31, 2008 45739 Dec 31, 2009 46896 Dec 31, 2010 48621 Dec 31, 2011 47044 Dec 31, 2012 50602 Dec 31, 2013 49254 Dec 31, 2014 52248 Dec 31, 2015 57100 Dec 31, 2016 61125 Dec 31, 2017 62283 Dec 31, 2018 70674

Vega-Lite specification:
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Chart description: The annual snowfall bar chart of Canadian cities, 1971 - 2000, observes that St John's has the highest average snowfall over 300cms annually, closely followed by Charlottestown and Regina.  The remaining cities vary from 50cm to just over 150 cm annually.

Chart data: city of Canada Snowfall (in centimeters) St. John's 322.3 Québec 315.9 Charlottetown 311.9 Fredericton 276.5 Ottawa 235.7 Halifax 230.5 Montréal 217.5 Yellowknife 151.8 Whitehorse 145 Calgary 126.7 Edmonton 121.4 Toronto 115.4 Winnipeg 110.6 Regina 105.9 Vancouver 48.2 Victoria 43.8

Vega-Lite specification:
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Chart description: st john's has the highest annual snowfall in canada, at just under 325cm.  victoria has the lowest annual snowfall in canada, at under 50cm. no two cities in this graph have the same snowfall values. both victoria and vancouver have below 50cm of snow per year. st johns, quebec, and charlottetown all have above 300cm of snowfall per year.

Chart data: city of Canada Snowfall (in centimeters) St. John's 322.3 Québec 315.9 Charlottetown 311.9 Fredericton 276.5 Ottawa 235.7 Halifax 230.5 Montréal 217.5 Yellowknife 151.8 Whitehorse 145 Calgary 126.7 Edmonton 121.4 Toronto 115.4 Winnipeg 110.6 Regina 105.9 Vancouver 48.2 Victoria 43.8

Vega-Lite specification:
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Chart description: The trend that mostly stands out to me is that there is a constant incline in revenue over the course of 4 years. However there are three instances as you can see in 2008/2009, 2012/2013 and 2016/2017 that shows also every 4 years they go into a decline in revenue.

Chart data: Year Revenue in million U.S. dollars 2018/19 164 2017/18 148 2016/17 137 2015/16 141 2014/15 126 2013/14 117 2012/13* 84 2011/12 101 2010/11 96 2009/10 88 2008/09 84 2007/08 85 2006/07 72 2005/06 69

Vega-Lite specification:
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Chart description: 1. between 2008 and 2019 the price of bentonite has increased relatively steadily from 45 to 100 dollars per ton. 2. 2018/19 however saw a sharp increase of approximately 35 dollars per ton in one year.

Chart data: Year Prices in U.S. dollars per ton Dec 31, 2006 52 Dec 31, 2007 49 Dec 31, 2008 57 Dec 31, 2009 58 Dec 31, 2010 61 Dec 31, 2011 62 Dec 31, 2012 65 Dec 31, 2013 67 Dec 31, 2014 98 Dec 31, 2015 99 Dec 31, 2016 99 Dec 31, 2017 99 Dec 31, 2018 100

Vega-Lite specification:
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Chart description: The number of overnight stays has increased over the years. The number of stays ranged between around 350-580million overnight stays. There was a dip in stays between 2008-2010.

Chart data: Year Number of nights in millions Dec 31, 2006 381.91 Dec 31, 2007 375.69 Dec 31, 2008 348.55 Dec 31, 2009 364.86 Dec 31, 2010 389.86 Dec 31, 2011 382.67 Dec 31, 2012 389.21 Dec 31, 2013 403.96 Dec 31, 2014 422.23 Dec 31, 2015 454.96 Dec 31, 2016 471.2 Dec 31, 2017 466.94

Vega-Lite specification:
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Chart description: Ronaldo is far and away the highest scorer with over 120 goals, Messi comes second but with a wide divide at around 90 goals.Although Beckham and Neymar, outclass the rest scoring 50 & 60 those below score only 30 or less.

Chart data: Soccer player Facebook fans in millions Cristiano Ronaldo 122.28 Lionel Messi 90.16 Neymar Jr. 59.86 David Beckham 51.69 Ronaldinho Gaúcho 34.16 Mesut Özil 31.02 Kaká 30.38 Gareth Bale 27.9 Andrés Iniesta 26.26 Zlatan Ibrahimović 26.14

Vega-Lite specification:
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Chart description: US chemical industry production has been between 80 and 120 since 2000. The peak was in 2007, at just under 120. Since 2009 production has been stable and between 95 and 105.

Chart data: Year Production index (2012 = 100) Dec 31, 2000 80.5 Dec 31, 2001 85.1 Dec 31, 2002 86.5 Dec 31, 2003 90 Dec 31, 2004 109.3 Dec 31, 2005 111.9 Dec 31, 2006 117.5 Dec 31, 2007 108.6 Dec 31, 2008 98.1 Dec 31, 2009 101.4 Dec 31, 2010 101.3 Dec 31, 2011 100 Dec 31, 2012 99.3 Dec 31, 2013 98.5 Dec 31, 2014 95.6 Dec 31, 2015 95.7 Dec 31, 2016 99.4 Dec 31, 2017 103.4 Dec 31, 2018 103.3

Vega-Lite specification:
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Chart description: From 1971 to 2010, Ford (1981) had the most car recalls, with over 20 million. Ford (1972), General Motors (1973), Honda (1995) and Volkswagen (1972) had the least with under 5 million.

Chart data: Type of product Number of recalls in millions Ford (1981) 21 Ford (1999-2009) 15 Ford (1996) 7.9 General Motors (1971) 6.7 General Motors (1981) 5.8 Toyota (2007-2010) 5.7 Ford (1972) 4.1 Honda (1995) 3.7 Volkswagen (1972) 3.7 General Motors (1973) 3.7

Vega-Lite specification:
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Chart description: Ford had the two largest recalls in 1981 and 1999-2009. The least amount of recalls were General Motors 1973, Honda 1995 and Volkswagen 1972.

Chart data: Type of product Number of recalls in millions Ford (1981) 21 Ford (1999-2009) 15 Ford (1996) 7.9 General Motors (1971) 6.7 General Motors (1981) 5.8 Toyota (2007-2010) 5.7 Ford (1972) 4.1 Honda (1995) 3.7 Volkswagen (1972) 3.7 General Motors (1973) 3.7

Vega-Lite specification:
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Chart description: Premiums rose in the three years from 2004 to a peak of around 340 billion Euros in 2007. They then fell sharply to just above 200 billion Euros in 2008. After that there was a generally steady growth back to around 340 billion Euros in 2018.

Chart data: Year Total direct premiums in billion euros* Dec 31, 2003 236.87 Dec 31, 2004 266.03 Dec 31, 2005 298.75 Dec 31, 2006 342.07 Dec 31, 2007 206.99 Dec 31, 2008 205.02 Dec 31, 2009 205.31 Dec 31, 2010 218.15 Dec 31, 2011 230.97 Dec 31, 2012 225.91 Dec 31, 2013 239.39 Dec 31, 2014 270.06 Dec 31, 2015 251.08 Dec 31, 2016 297.21 Dec 31, 2017 341.61

Vega-Lite specification:
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Chart description: The total direct premiums of the insurance industry in the UK from 2004 to 2018 varied a lot. It was at it's highest amount in 2020 and 2007.

Chart data: Year Total direct premiums in billion euros* Dec 31, 2003 236.87 Dec 31, 2004 266.03 Dec 31, 2005 298.75 Dec 31, 2006 342.07 Dec 31, 2007 206.99 Dec 31, 2008 205.02 Dec 31, 2009 205.31 Dec 31, 2010 218.15 Dec 31, 2011 230.97 Dec 31, 2012 225.91 Dec 31, 2013 239.39 Dec 31, 2014 270.06 Dec 31, 2015 251.08 Dec 31, 2016 297.21 Dec 31, 2017 341.61

Vega-Lite specification:
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Chart description: The total direct premiums of the insurance industry in the United Kingdom rose sharply in 2007 to around 240 billion Euros before falling again in 2008. The total direct premiums of the insurance industry in the United Kingdom from 2004 to 2018 peaked again in 2018 at around 240 billion Euros. The total direct premiums of the insurance industry in the United Kingdom from 2004 to 2018 remained fairly static between 2008 and 2010.

Chart data: Year Total direct premiums in billion euros* Dec 31, 2003 236.87 Dec 31, 2004 266.03 Dec 31, 2005 298.75 Dec 31, 2006 342.07 Dec 31, 2007 206.99 Dec 31, 2008 205.02 Dec 31, 2009 205.31 Dec 31, 2010 218.15 Dec 31, 2011 230.97 Dec 31, 2012 225.91 Dec 31, 2013 239.39 Dec 31, 2014 270.06 Dec 31, 2015 251.08 Dec 31, 2016 297.21 Dec 31, 2017 341.61

Vega-Lite specification:
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Chart description: The overall trend appears to be upwards but with a big dip in 2008.

Chart data: Year Total direct premiums in billion euros* Dec 31, 2003 236.87 Dec 31, 2004 266.03 Dec 31, 2005 298.75 Dec 31, 2006 342.07 Dec 31, 2007 206.99 Dec 31, 2008 205.02 Dec 31, 2009 205.31 Dec 31, 2010 218.15 Dec 31, 2011 230.97 Dec 31, 2012 225.91 Dec 31, 2013 239.39 Dec 31, 2014 270.06 Dec 31, 2015 251.08 Dec 31, 2016 297.21 Dec 31, 2017 341.61

Vega-Lite specification:
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Chart description: State Grid’s brand value is the highest. France and United States have two utilities brands within this graph.

Chart data: Brand value in million U.S. dollars utilities brand 56965 State Grid(China) 11907 EDF(France) 11079 Engie(France) 10799 Enel(Italy) 7469 Korea Electric Power Corporation(South Korea) 4788 Iberdrola(Spain) 4456 Innogy(Germany) 3925 Duke Energy(United States) 3759 Exelon(United States) 3637 TEPCO(Japan)

Vega-Lite specification:
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Chart description: there was a peak in drug trafficking in 2010 then a drop in approximately 2012.

Chart data: Year Number of offences Dec 31, 1999 33276 Dec 31, 2000 31543 Dec 31, 2001 32166 Dec 31, 2002 33513 Dec 31, 2003 34476 Dec 31, 2004 32699 Dec 31, 2005 32353 Dec 31, 2006 32843 Dec 31, 2007 32260 Dec 31, 2008 32974 Dec 31, 2009 35283 Dec 31, 2010 33871 Dec 31, 2011 33722 Dec 31, 2012 30897 Dec 31, 2013 25923 Dec 31, 2014 27184 Dec 31, 2015 26531 Dec 31, 2016 27184 Dec 31, 2017 28300 Dec 31, 2018 22989

Vega-Lite specification:
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Chart description: The fastest growing county is Williams county which has a change in population over 0.6. The slowest growing counties are Bryan County, Horry County, Kaufman County and St Bernard County with a change in population of approximately 0.33.

Chart data: County in the United States Change in population Williams County, North Dakota 0.678 Hays County, Texas 0.465 Wasatch County, Utah 0.449 Comal County, Texas 0.439 Kendall County, Texas 0.421 Sumter County, Florida 0.417 Dallas County, Iowa 0.413 Osceola County, Florida 0.398 Williamson County, Texas 0.398 St. Johns County, Florida 0.393 Forsyth County, Georgia 0.392 Fort Bend County, Texas 0.388 Lincoln County, South Dakota 0.364 Long County, Georgia 0.364 Walton County, Florida 0.346 Rockwall County, Texas 0.339 Denton County, Texas 0.339 Montgomery County, Texas 0.333 Brunswick County, North Carolina 0.329 Collin County, Texas 0.324 Loudoun County, Virginia 0.324 Kaufman County, Texas 0.317 St. Bernard Parish, Louisiana 0.316 Horry County, South Carolina 0.316 Bryan County, Georgia 0.312

Vega-Lite specification:
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Chart description: The greatest number of clinical trials are for patients who currently have or recently had covid.

Chart data: Type Number of trials Treatment 1787 COVID-19 complication support 1057 COVID-19 pneumonia 951 Severe COVID-19 904 Moderate COVID-19 810 Mild COVID-19 635 Exposure prophylaxis (PEP/PrEP) 361 Critical COVID-19 352 COVID-19 vaccines 331 Healthy subjects 281 Asymptomatic COVID-19 136 Post-COVID syndrome 28 Unspecified 107

Vega-Lite specification:
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Chart description: The general trend of gross output is upwards. There are some dips in the output in 2001 and 2009 but the chart is not specific enough in years so be certain that these are the years as the linear scale goes up in 5s. There is a major upward trend of output between 2009 and 2011 but there is no way of knowing why this is from the chart. Although the overall trend is upwards between 2015 and 2017 the output has reduced.

Chart data: Year Gross output in million U.S. dollars Dec 31, 1997 15.5 Dec 31, 1998 15.2 Dec 31, 1999 15.8 Dec 31, 2000 14.7 Dec 31, 2001 14.7 Dec 31, 2002 15.3 Dec 31, 2003 15.9 Dec 31, 2004 16.3 Dec 31, 2005 16.5 Dec 31, 2006 17.8 Dec 31, 2007 16.9 Dec 31, 2008 15.7 Dec 31, 2009 17.2 Dec 31, 2010 21.5 Dec 31, 2011 21.1 Dec 31, 2012 20.1 Dec 31, 2013 20.1 Dec 31, 2014 20.5 Dec 31, 2015 18.4 Dec 31, 2016 18.9 Dec 31, 2017 18.7

Vega-Lite specification:
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Chart description: The per capita income in New Jersey from 2000 and to 2019 has year on year ear grown steadily and people have better incomes now than 2000.

Chart data: Income in U.S. dollars year 70471 '19 67845 '18 64983 '17 62842 '16 61153 '15 58670 '14 56054 '13 55587 '12 53694 '11 51420 '10 50149 '09 52005 '08 50723 '07 48015 '06 44775 '05 43208 '04 41425 '03 40626 '02 40306 '01 39257 '00

Vega-Lite specification:
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Chart description: There is a steady increase in shares per million from 2, 400  in 2009 to 2,100 in 2010. They remained fairly steady up to 2012 where a downard trend can be observed. By 2019 shares were going down to 2,500.

Chart data: Year Number of shares in millions Dec 31, 2008 2268 Dec 31, 2009 3095 Dec 31, 2010 3071 Dec 31, 2011 3041 Dec 31, 2012 2963 Dec 31, 2013 2894 Dec 31, 2014 2816 Dec 31, 2015 2766 Dec 31, 2016 2730 Dec 31, 2017 2664 Dec 31, 2018 2565

Vega-Lite specification:
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Chart description: There was a steep share prise rise from 2300 to 3100 approximately in the short time from the six months prior to 2010. A consistent fall in share price started from the end of 2010 until the middle of 2018. This share price fall was almost entirely regular and consistent, there were no noticeable rises in price.

Chart data: Year Number of shares in millions Dec 31, 2008 2268 Dec 31, 2009 3095 Dec 31, 2010 3071 Dec 31, 2011 3041 Dec 31, 2012 2963 Dec 31, 2013 2894 Dec 31, 2014 2816 Dec 31, 2015 2766 Dec 31, 2016 2730 Dec 31, 2017 2664 Dec 31, 2018 2565

Vega-Lite specification:
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Chart description: The region of Finland with the highest population in 2019 was Uusimaa with with approximately 1,200,000 inhabitants. The region of Finland with the lowest population in 2019 was Aland with less than 100,000 inhabitants. Most regions have a population between 100,000 and 500,000 inhabitants.

Chart data: region of Finland Number of inhabitants Uusimaa 1689725 Pirkanmaa 517666 Southwest Finland 479341 North Ostrobothnia 412830 Central Finland 275104 North Savo 244236 Satakunta 216752 Päijät-Häme 199604 South Ostrobothnia 188685 Ostrobothnia 180445 Lapland 177161 Kymenlaakso 171167 Kanta-Häme 170925 North Karelia 161211 South Savo 142335 South Karelia 127757 Kainuu 72306 Central Ostrobothnia 68158 Åland 29884

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Chart description: The share of urban population compared to totalPopulation has increased steadily since 2010. Over the last 8 years the share has increased from 0.75 to 0.81. This growth has been steady with no significant jumps or declines.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.7254 Dec 31, 2009 0.7375 Dec 31, 2010 0.7483 Dec 31, 2011 0.758 Dec 31, 2012 0.7675 Dec 31, 2013 0.7767 Dec 31, 2014 0.7857 Dec 31, 2015 0.7944 Dec 31, 2016 0.8028 Dec 31, 2017 0.8107 Dec 31, 2018 0.8183

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