delen/vistext huggingface dataset:
Chart description: From 2005 t0 2007 there was a slight rise in level of education followed by a drop in 2009.  Then a steady rise through to 2016 when highest degree achieved peaked which shows that levels of education had risen drastically.  A further drop in 2017 then a rise in 2019.

Chart data: Level of Education Less Than 9th Grade Dec 31, 2004 19814 Dec 31, 2005 20812 Dec 31, 2006 21991 Dec 31, 2007 21056 Dec 31, 2008 19485 Dec 31, 2009 20815 Dec 31, 2010 21454 Dec 31, 2011 22092 Dec 31, 2012 22937 Dec 31, 2013 25641 Dec 31, 2014 26782 Dec 31, 2015 29975 Dec 31, 2016 27291 Dec 31, 2017 28746 Dec 31, 2018 29679

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Chart description: Since 2018 there has been a positive correlation between level of education and associate degree in dictating mean earnings are increasing.

Chart data: Level of Education Associate Degree Dec 31, 2004 37990 Dec 31, 2005 39724 Dec 31, 2006 39746 Dec 31, 2007 39506 Dec 31, 2008 39771 Dec 31, 2009 39468 Dec 31, 2010 40907 Dec 31, 2011 40085 Dec 31, 2012 40656 Dec 31, 2013 42848 Dec 31, 2014 44012 Dec 31, 2015 44511 Dec 31, 2016 45637 Dec 31, 2017 48238 Dec 31, 2018 48687

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Chart description: The earnings in USA by professional degree seemed to increase gradually from 2006 to 2018In 2018 the earnings in USA by professional degree were more than $150,000.

Chart data: Level of Education Professional Degree Dec 31, 2004 119009 Dec 31, 2005 116514 Dec 31, 2006 120978 Dec 31, 2007 125019 Dec 31, 2008 127803 Dec 31, 2009 125899 Dec 31, 2010 126233 Dec 31, 2011 139682 Dec 31, 2012 122997 Dec 31, 2013 136669 Dec 31, 2014 142008 Dec 31, 2015 134719 Dec 31, 2016 140003 Dec 31, 2017 149837 Dec 31, 2018 152703

Vega-Lite specification:
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Chart description: As high school increase we see a gradual increase in the associate degree earnings. Minus anomalies.

Chart data: High School (9th to 12th Nongrad) Associate Degree 19964 37990 20901 39724 21251 39746 21007 39506 20603 39771 20996 39468 20936 40907 21384 40085 23394 40656 25028 42848 24567 44012 26733 44511 26145 45637 26220 48238 29082 48687

Vega-Lite specification:
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Chart description: The chart shows that the highest level graduate students earned a mean salary of $40,000 in 2000, and $60,000 in 2018. Between 2000 and 2018 mean earnings of highest level graduate students increased by just short of 50% over the eight year period covered. The rises were relatively modest in the early period covered by the chart, stablized around 2008/9 and then increased exponentially after that, increasing in rate towards 2018.

Chart data: Level of Education Total Dec 31, 2004 39579 Dec 31, 2005 41412 Dec 31, 2006 42064 Dec 31, 2007 42588 Dec 31, 2008 42469 Dec 31, 2009 42956 Dec 31, 2010 44729 Dec 31, 2011 45598 Dec 31, 2012 46814 Dec 31, 2013 47653 Dec 31, 2014 49994 Dec 31, 2015 51893 Dec 31, 2016 53536 Dec 31, 2017 55619 Dec 31, 2018 58544

Vega-Lite specification:
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Chart description: Mean earnings are making a steady increase over the course of years.

Chart data: Level of Education Total Dec 31, 2004 39579 Dec 31, 2005 41412 Dec 31, 2006 42064 Dec 31, 2007 42588 Dec 31, 2008 42469 Dec 31, 2009 42956 Dec 31, 2010 44729 Dec 31, 2011 45598 Dec 31, 2012 46814 Dec 31, 2013 47653 Dec 31, 2014 49994 Dec 31, 2015 51893 Dec 31, 2016 53536 Dec 31, 2017 55619 Dec 31, 2018 58544

Vega-Lite specification:
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Chart description: The chart shows that households in the West Midlands own the highest proportion of indoor fish as pets compared to other UK areas with a share of over 0.08. London households own the least amount of indoor fish with around 0.05.

Chart data: region in the United Kingdom Indoor fish North East 0.07 North West 0.07 Yorks&Humber 0.06 East Midlands 0.08 West Midlands 0.09 East of England 0.07 London 0.05 South East 0.07 South West 0.07 Wales 0.08 Scotland 0.06 Northern Ireland 0.07

Vega-Lite specification:
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Chart description: The region that has the highest number of indoor fish owners is the midlands and Wales. The north of England share the same level of indoor fish ownership as each other. The south of England excluding London equally share the same amount of fish ownership as each other.

Chart data: region in the United Kingdom Indoor fish North East 0.07 North West 0.07 Yorks&Humber 0.06 East Midlands 0.08 West Midlands 0.09 East of England 0.07 London 0.05 South East 0.07 South West 0.07 Wales 0.08 Scotland 0.06 Northern Ireland 0.07

Vega-Lite specification:
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Chart description: The graph shows north east and north west along with east Midlands are most likely to have indoor birds.

Chart data: Indoor birds region in the United Kingdom 0.02 North East 0.02 North West 0.01 Yorks&Humber 0.02 East Midlands 0.01 West Midlands 0.01 East of England 0 London 0.01 South East 0.01 South West 0.01 Wales 0.01 Scotland 0.01 Northern Ireland

Vega-Lite specification:
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Chart description: The three largest areas for bird owning are tied and are North East, North West and the East Midlands. London has the lowest rate and is effectively zero.

Chart data: Indoor birds region in the United Kingdom 0.02 North East 0.02 North West 0.01 Yorks&Humber 0.02 East Midlands 0.01 West Midlands 0.01 East of England 0 London 0.01 South East 0.01 South West 0.01 Wales 0.01 Scotland 0.01 Northern Ireland

Vega-Lite specification:
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Chart description: Netherlands’ Government revenue and spending is set to steadily increase from 2014 to 2024.

Chart data: Revenue Year 411.34 2024* 397.08 2023* 384.2 2022* 372.18 2021* 362.06 2020* 353.66 2019* 337.06 2018 322.64 2017 303.22 2016 288.27 2015 287.26 2014

Vega-Lite specification:
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Chart description: The spending of the Netherlands government has increased. The spending is projected to continue increasing. Spending began at just over 300 billion, but is projected to reach just over 400 billion in 2024.

Chart data: Spending Year 406.7 2024* 393.06 2023* 380.6 2022* 369.55 2021* 359.19 2020* 343.68 2019* 325.52 2018 313.31 2017 303.07 2016 302.24 2015 301.71 2014

Vega-Lite specification:
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Chart description: China’s Bismuth production between 2015-2019 is more than 3 times more than its nearest competitor, Vietnam at over 7000 metric tonnes. Mexico was the third largest producer.

Chart data: 2016 Country 7400 China 700 Mexico 3 Canada 40 Russia** 2000 Vietnam** 10 Bolivia**

Vega-Lite specification:
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Chart description: The country to produce the most in 2016 was China by quite a large margin, at over 7000 metric tons. Chinas production dwarfs the other countries on the chart for this year with Vietnam managing to produce about 2000 metric tons and being the second largest production. Bolivia and Canada are represented in the chart but do not have enough production to be visualized by bars on the chart. Russian production was exceptionally small with only a slight representation on the chart, depicting possibly 100 metric tons or so. Mexico produced about a third of Vietnams production at about 600-700 tons.

Chart data: 2016 Country 7400 China 700 Mexico 3 Canada 40 Russia** 2000 Vietnam** 10 Bolivia**

Vega-Lite specification:
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Chart description: China produced the most metric tonnes in 2017.  Russia produced the least. The east produces the most.

Chart data: 2017 Country 13500 China 2000 Laos 525 Japan 513 Mexico 270 Kazakhstan 50 Bulgaria 25 Canada 4 Russia**

Vega-Lite specification:
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Chart description: Footballers tend to have less endorsements, this is followed by boxing and racing.

Chart data: Highest paid athletes Endorsements Roger Federer (tennis) 100 Cristiano Ronaldo (soccer) 45 Lionel Messi (soccer) 32 Neymar (soccer) 25 LeBron James (basketball) 60 Stephen Curry (basketball) 44 Kevin Durant (basketball) 35 Tiger Woods (golf) 60 Kirk Cousins (football) 2.5 Carson Wentz (football) 4 Tyson Fury (boxing) 7 Russell Westbrook (basketball) 27 Lewis Hamilton (auto racing) 12 Rory McIlroy (golf) 30 Jared Goff (football) 2

Vega-Lite specification:
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Chart description: The lowest paid is Jeard Goff (football) with the highest paid Roger Federer being paid 100 million dollars. The two next highest paid athletes are LeBron James & Tiger Woods coming in at 60 million dollars.

Chart data: Highest paid athletes Endorsements Roger Federer (tennis) 100 Cristiano Ronaldo (soccer) 45 Lionel Messi (soccer) 32 Neymar (soccer) 25 LeBron James (basketball) 60 Stephen Curry (basketball) 44 Kevin Durant (basketball) 35 Tiger Woods (golf) 60 Kirk Cousins (football) 2.5 Carson Wentz (football) 4 Tyson Fury (boxing) 7 Russell Westbrook (basketball) 27 Lewis Hamilton (auto racing) 12 Rory McIlroy (golf) 30 Jared Goff (football) 2

Vega-Lite specification:
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Chart description: The most popular app is the none app. The least popular apps are Grindr and Happn. Both have 0 online users. The religious based app and plenty fish app have the same level of popularity. Bumble, Coffee meet, Hinge Down and Tindr have the same level of popularity.

Chart data: Response 45 - 54 years Tinder 0.01 PlentyofFish 0.04 Match.com 0.07 OkCupid 0.02 EHarmony 0.03 Coffee Meets Bagel 0.01 Bumble 0.01 Grindr 0 A religious based dating app* 0.04 Hinge Down 0.01 Happn 0 None 0.75

Vega-Lite specification:
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Chart description: The majority of 45-54 year olds in the US do not use any of the listed dating apps.

Chart data: Response 45 - 54 years Tinder 0.01 PlentyofFish 0.04 Match.com 0.07 OkCupid 0.02 EHarmony 0.03 Coffee Meets Bagel 0.01 Bumble 0.01 Grindr 0 A religious based dating app* 0.04 Hinge Down 0.01 Happn 0 None 0.75

Vega-Lite specification:
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Chart description: The overall number of people identifying as Protestant has decreased by approximately half between 1960 and the present day.

Chart data: Response Protestant Dec 31, 1947 0.69 Dec 31, 1949 0.66 Dec 31, 1954 0.7 Dec 31, 1959 0.67 Dec 31, 1964 0.69 Dec 31, 1969 0.65 Dec 31, 1974 0.6 Dec 31, 1979 0.61 Dec 31, 1984 0.57 Dec 31, 1989 0.56 Dec 31, 1994 0.56 Dec 31, 1999 0.52 Dec 31, 2004 0.49 Dec 31, 2009 0.45 Dec 31, 2010 0.42 Dec 31, 2011 0.41 Dec 31, 2012 0.38 Dec 31, 2013 0.37 Dec 31, 2014 0.38 Dec 31, 2015 0.38 Dec 31, 2016 0.38 Dec 31, 2017 0.35 Dec 31, 2018 0.35

Vega-Lite specification:
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Chart description: The graphic show us the preference evolution of the CatholicismWe can observe a growing tendency of the Roman Catholicism from 1940 until 1980, from when we can observed a tremendous decrease on this religious preference until around 2010 when the Catholicism started growing again according to religious preferences.

Chart data: Response Catholic Dec 31, 1947 0.22 Dec 31, 1949 0.25 Dec 31, 1954 0.22 Dec 31, 1959 0.25 Dec 31, 1964 0.24 Dec 31, 1969 0.26 Dec 31, 1974 0.27 Dec 31, 1979 0.28 Dec 31, 1984 0.28 Dec 31, 1989 0.25 Dec 31, 1994 0.27 Dec 31, 1999 0.25 Dec 31, 2004 0.23 Dec 31, 2009 0.21 Dec 31, 2010 0.23 Dec 31, 2011 0.23 Dec 31, 2012 0.23 Dec 31, 2013 0.23 Dec 31, 2014 0.23 Dec 31, 2015 0.22 Dec 31, 2016 0.21 Dec 31, 2017 0.22 Dec 31, 2018 0.22

Vega-Lite specification:
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Chart description: Age structure from 2009 to 2019 For Denmark in 2018  it shows 0.20 for 65 and older which has gone up slightly from 2010- 2014 where it it’s gradually increasing each year.

Chart data: Year 65 years and older Dec 31, 2008 0.163 Dec 31, 2009 0.1667 Dec 31, 2010 0.1703 Dec 31, 2011 0.1749 Dec 31, 2012 0.1803 Dec 31, 2013 0.1857 Dec 31, 2014 0.1905 Dec 31, 2015 0.1942 Dec 31, 2016 0.1966 Dec 31, 2017 0.1981 Dec 31, 2018 0.1997

Vega-Lite specification:
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Chart description: GDP has seen an increase from 2009 to 2019. More services were used in 2018.

Chart data: Year Services Dec 31, 2008 0.6084 Dec 31, 2009 0.618 Dec 31, 2010 0.6311 Dec 31, 2011 0.6414 Dec 31, 2012 0.6569 Dec 31, 2013 0.6638 Dec 31, 2014 0.6739 Dec 31, 2015 0.6751 Dec 31, 2016 0.6823 Dec 31, 2017 0.6869 Dec 31, 2018 0.696

Vega-Lite specification:
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Chart description: Agriculture has been decreasing since its highest point of distribution in 2011 except a slight increase in 2014. Its biggest drop was in 2017.

Chart data: Year Agriculture Dec 31, 2008 0.0424 Dec 31, 2009 0.0401 Dec 31, 2010 0.0464 Dec 31, 2011 0.0441 Dec 31, 2012 0.0448 Dec 31, 2013 0.0452 Dec 31, 2014 0.0402 Dec 31, 2015 0.0403 Dec 31, 2016 0.0404 Dec 31, 2017 0.0337 Dec 31, 2018 0.0319

Vega-Lite specification:
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Chart description: distribution of gdp has decreased from 2010 to 2018 in a non linear pattern.

Chart data: Year Industry Dec 31, 2008 0.2648 Dec 31, 2009 0.2328 Dec 31, 2010 0.2508 Dec 31, 2011 0.2477 Dec 31, 2012 0.2322 Dec 31, 2013 0.2344 Dec 31, 2014 0.2368 Dec 31, 2015 0.2421 Dec 31, 2016 0.2426 Dec 31, 2017 0.2236 Dec 31, 2018 0.223

Vega-Lite specification:
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Chart description: The distribution on GDP across economic sectors between 2009 to 2019 has fallen from 0.26 to 0.23.

Chart data: Year Industry Dec 31, 2008 0.2648 Dec 31, 2009 0.2328 Dec 31, 2010 0.2508 Dec 31, 2011 0.2477 Dec 31, 2012 0.2322 Dec 31, 2013 0.2344 Dec 31, 2014 0.2368 Dec 31, 2015 0.2421 Dec 31, 2016 0.2426 Dec 31, 2017 0.2236 Dec 31, 2018 0.223

Vega-Lite specification:
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Chart description: Since 2010 GDP in Bulgaria has risen overall. GDP in Bulgaria was at its highest in 2018. GDP in Bulgaria was at its lowest before 2010.

Chart data: Year Services Dec 31, 2008 0.5612 Dec 31, 2009 0.596 Dec 31, 2010 0.5771 Dec 31, 2011 0.5737 Dec 31, 2012 0.5838 Dec 31, 2013 0.5889 Dec 31, 2014 0.5863 Dec 31, 2015 0.5788 Dec 31, 2016 0.5808 Dec 31, 2017 0.6099 Dec 31, 2018 0.6068

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