delen/vistext huggingface dataset:
Chart description: There's a gradual increase of Facebook fans/twitter followers of the Tampa Bay Buccaneers until 2015 where there's a sharp increase until 2017 and a more gradual increase until 2018. It plateaus until 2019. From 2019 there's a gradual increase again.

Chart data: Month Twitter followers Jul 31, 2012 0.08 Jan 31, 2013 0.1 Jul 31, 2013 0.13 Jan 31, 2014 0.15 Jul 31, 2014 0.18 Jan 31, 2015 0.23 Jul 31, 2015 0.29 Jan 31, 2016 0.38 Jul 31, 2016 0.46 Jan 31, 2017 0.61 Jul 31, 2017 0.68 Jan 31, 2018 0.74 Jul 31, 2018 0.75 Jan 31, 2019 0.75 Jul 31, 2019 0.75 Jan 31, 2020 0.79 Jul 31, 2020 0.86

Vega-Lite specification:
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Chart description: Since 2010, there hasn't been any real growth in the area of distribution, as YoY (year on year) this has dramatically fluctuated. This could be primarily due to political, climate and economic reasons. Regarding the fluctuations, it is clear to say that distribution of GDP hasn't declined further than 0.015 in the last 10 year (according to this chart).

Chart data: Year Agriculture Dec 31, 2008 0.0149 Dec 31, 2009 0.0178 Dec 31, 2010 0.0158 Dec 31, 2011 0.0166 Dec 31, 2012 0.0179 Dec 31, 2013 0.0174 Dec 31, 2014 0.0172 Dec 31, 2015 0.0177 Dec 31, 2016 0.0186 Dec 31, 2017 0.0163 Dec 31, 2018 0.0166

Vega-Lite specification:
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Chart description: GDP within the agricultural sector in the Netherlands seems to remain relatively steady over the years. Overall there has been a slight increase from 2010 to 2018.

Chart data: Year Agriculture Dec 31, 2008 0.0149 Dec 31, 2009 0.0178 Dec 31, 2010 0.0158 Dec 31, 2011 0.0166 Dec 31, 2012 0.0179 Dec 31, 2013 0.0174 Dec 31, 2014 0.0172 Dec 31, 2015 0.0177 Dec 31, 2016 0.0186 Dec 31, 2017 0.0163 Dec 31, 2018 0.0166

Vega-Lite specification:
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Chart description: Distribution of gross domestic product has decreased from 2010 to 2019. Between the years 2012 and 2014 saw the biggest decrease in GDP distribution.

Chart data: Year Industry Dec 31, 2008 0.2044 Dec 31, 2009 0.1969 Dec 31, 2010 0.2007 Dec 31, 2011 0.2002 Dec 31, 2012 0.1933 Dec 31, 2013 0.1841 Dec 31, 2014 0.1819 Dec 31, 2015 0.1764 Dec 31, 2016 0.177 Dec 31, 2017 0.1793 Dec 31, 2018 0.178

Vega-Lite specification:
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Chart description: Pretty much the same all level all the way through.

Chart data: Year Services Dec 31, 2008 0.6773 Dec 31, 2009 0.6837 Dec 31, 2010 0.6845 Dec 31, 2011 0.6873 Dec 31, 2012 0.6907 Dec 31, 2013 0.6991 Dec 31, 2014 0.7006 Dec 31, 2015 0.7022 Dec 31, 2016 0.7007 Dec 31, 2017 0.6994 Dec 31, 2018 0.6975

Vega-Lite specification:
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Chart description: Denmark, Sweden and Uk have the highest number of 16-74 age group that access social networks via mobile devices.There doesn't seem to be an average share for countries, some have high shares, others have low.

Chart data: Country 16-74 age group Sweden 0.4 United Kingdom 0.36 Denmark 0.31 Netherlands 0.29 Luxembourg 0.29 EU 0.16 Hungary 0.07 Italy 0.07 Czech Republic 0.04 Bulgaria 0.04 Romania 0.03

Vega-Lite specification:
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Chart description: SMEs consider alternative finance providers better than traditional ones on all the criteria shown. This is particularly so in regards to their willingness to take risks, their flexibility, their speed, and their accessibility.

Chart data: small and medium enterprises (SMEs) Better Lending/Investment standards 0.07 Keeping information and money safe 0.08 Know-how of own industry workings 0.14 Moral standards 0.14 Cost of capital 0.16 Generating social returns on investment 0.16 Generating financial returns on investments 0.17 Accessibility 0.21 Speed 0.23 Flexibility 0.26 Willingness to take risks 0.29

Vega-Lite specification:
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Chart description: I am really sorry I don’t understand this one either, these charts don’t make any sense whatsoever to me.

Chart data: small and medium enterprises (SMEs) Better Lending/Investment standards 0.07 Keeping information and money safe 0.08 Know-how of own industry workings 0.14 Moral standards 0.14 Cost of capital 0.16 Generating social returns on investment 0.16 Generating financial returns on investments 0.17 Accessibility 0.21 Speed 0.23 Flexibility 0.26 Willingness to take risks 0.29

Vega-Lite specification:
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Chart description: The best factor to SMEs is shown by the graph to be willingness to take risks, and the worst factor is seen to be lending/investment standards.

Chart data: small and medium enterprises (SMEs) Better Lending/Investment standards 0.07 Keeping information and money safe 0.08 Know-how of own industry workings 0.14 Moral standards 0.14 Cost of capital 0.16 Generating social returns on investment 0.16 Generating financial returns on investments 0.17 Accessibility 0.21 Speed 0.23 Flexibility 0.26 Willingness to take risks 0.29

Vega-Lite specification:
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Chart description: Enterprises that are willing to take risks seem to preform better.

Chart data: small and medium enterprises (SMEs) Better Lending/Investment standards 0.07 Keeping information and money safe 0.08 Know-how of own industry workings 0.14 Moral standards 0.14 Cost of capital 0.16 Generating social returns on investment 0.16 Generating financial returns on investments 0.17 Accessibility 0.21 Speed 0.23 Flexibility 0.26 Willingness to take risks 0.29

Vega-Lite specification:
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Chart description: Willingness to take risks is the lowest rated subject on the bar chart that shows comparison between alternative and traditional finance providers according to small and medium enterprises (SMEs) in the United Kingdom (UK) in 2014 , by factor.

Chart data: About the same small and medium enterprises (SMEs) 0.38 Lending/Investment standards 0.38 Keeping information and money safe 0.37 Know-how of own industry workings 0.32 Moral standards 0.36 Cost of capital 0.34 Generating social returns on investment 0.41 Generating financial returns on investments 0.36 Accessibility 0.33 Speed 0.33 Flexibility 0.29 Willingness to take risks

Vega-Lite specification:
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Chart description: Generating financial returns on investment is the least worse in terms of financial providers according to SMEsKeeping information safe appears to be the worst, followed by know how of industry standards. The remaining parameters are more or less the same in terms of Worse. (the bar chart is had to read).

Chart data: small and medium enterprises (SMEs) Worse Lending/Investment standards 0.15 Keeping information and money safe 0.18 Know-how of own industry workings 0.17 Moral standards 0.12 Cost of capital 0.11 Generating social returns on investment 0.1 Generating financial returns on investments 0.07 Accessibility 0.1 Speed 0.1 Flexibility 0.09 Willingness to take risks 0.1

Vega-Lite specification:
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Chart description: The Worse ranges from 0.05 to ~0.18 for SMEs. 'Generating financial returns on investment' has the lowest Worse value. 'Keeping information and money secured' has the highest Worse value.

Chart data: small and medium enterprises (SMEs) Worse Lending/Investment standards 0.15 Keeping information and money safe 0.18 Know-how of own industry workings 0.17 Moral standards 0.12 Cost of capital 0.11 Generating social returns on investment 0.1 Generating financial returns on investments 0.07 Accessibility 0.1 Speed 0.1 Flexibility 0.09 Willingness to take risks 0.1

Vega-Lite specification:
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Chart description: Kennedy and Eisemhower had the highest approval ratings from members of their opposing parties, while Obama and Bush Sr had the lowest.

Chart data: Opposing party Response 0.14 Barack Obama 0.23 George W. Bush 0.27 Bill Clinton 0.44 George H.W. Bush 0.31 Ronald Reagan 0.3 Jimmy Carter 0.36 Gerald Ford 0.34 Richard Nixon 0.4 Lyndon Johnson 0.49 John F. Kennedy 0.49 Dwight D. Eisenhower

Vega-Lite specification:
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Chart description: Next & gap have the fewest Instagram likes of the companies in the study. Forever 21  and H&M have the most Instagram likes of the companies listed.

Chart data: Instagram likes Leading high street fashion labels 12511530 Forever 21 10421526 H&M 6012399 Primark 4434419 Topshop 4157131 ASOS 2655324 Zara 1001155 Mango 971061 New Look 305015 GAP 163265 Next

Vega-Lite specification:
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Chart description: Forever 21 has the highest amount of Instagram likes at over 12,000,000. Next has the lowest amount of Instagram likes.

Chart data: Instagram likes Leading high street fashion labels 12511530 Forever 21 10421526 H&M 6012399 Primark 4434419 Topshop 4157131 ASOS 2655324 Zara 1001155 Mango 971061 New Look 305015 GAP 163265 Next

Vega-Lite specification:
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Chart description: Forever 21 has the highest user engagement. Next has the lowest user engagement. Forever 21 has more than 12 times the amount of next.

Chart data: Total Instagram user engagement Leading high street fashion labels 12543466 Forever 21 10457810 H&M 6054773 Primark 4449690 Topshop 4191100 ASOS 2663961 Zara 1004486 Mango 975609 New Look 306069 GAP 164774 Next

Vega-Lite specification:
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Chart description: The female population of Venezuela has been between about 14 million and a little over 15 million in the decade between 2008 and 2018. The peak year for females was 2014-15 though the bell curve then falls to under 15 million again.

Chart data: Year Female Dec 31, 2007 13.83 Dec 31, 2008 14.04 Dec 31, 2009 14.25 Dec 31, 2010 14.48 Dec 31, 2011 14.73 Dec 31, 2012 14.95 Dec 31, 2013 15.09 Dec 31, 2014 15.13 Dec 31, 2015 15.04 Dec 31, 2016 14.84 Dec 31, 2017 14.62

Vega-Lite specification:
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Chart description: The line chart above shows that from 2008 - 2015 the total population of males in Venezuela was increasing each year. As of 2016, the male population in Venezuela has slowly started to decrease.

Chart data: Year Male Dec 31, 2007 13.81 Dec 31, 2008 13.99 Dec 31, 2009 14.19 Dec 31, 2010 14.41 Dec 31, 2011 14.64 Dec 31, 2012 14.84 Dec 31, 2013 14.95 Dec 31, 2014 14.95 Dec 31, 2015 14.81 Dec 31, 2016 14.55 Dec 31, 2017 14.25

Vega-Lite specification:
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Chart description: Between 2012 and 2016 the  number of males peaked. Numbers were seen to be rising and finishing at a similar level between 2008 and 2020.

Chart data: Year Male Dec 31, 2007 13.81 Dec 31, 2008 13.99 Dec 31, 2009 14.19 Dec 31, 2010 14.41 Dec 31, 2011 14.64 Dec 31, 2012 14.84 Dec 31, 2013 14.95 Dec 31, 2014 14.95 Dec 31, 2015 14.81 Dec 31, 2016 14.55 Dec 31, 2017 14.25

Vega-Lite specification:
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Chart description: The male population of Venezuela increased at an even rate from 2008 till 2014 but then slowly declined back down agan.

Chart data: Year Male Dec 31, 2007 13.81 Dec 31, 2008 13.99 Dec 31, 2009 14.19 Dec 31, 2010 14.41 Dec 31, 2011 14.64 Dec 31, 2012 14.84 Dec 31, 2013 14.95 Dec 31, 2014 14.95 Dec 31, 2015 14.81 Dec 31, 2016 14.55 Dec 31, 2017 14.25

Vega-Lite specification:
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Chart description: Arsenals match day revenue peaked in 14/15 and 15/16. They probably had a strong cup run and champions league football. The revenue decreases after when European football isn’t there.

Chart data: Matchday Season 109.2 2018/19 111.6 2017/18 116.4 2016/17 133.6 2015/16 132 2014/15 119.8 2013/14 108.3 2012/13 117.7 2011/12 103.2 2010/11 114.7 2009/10 117.5 2008/09

Vega-Lite specification:
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Chart description: The number of music record distrubution/production establishments in the USA has gradually decreased between 2007-2017. There was a slight increase to previous levels in 2009 but since then there has been a consistent drop in establishments from 450 down to 400.

Chart data: Year Integrated record production/distribution Dec 31, 2006 455 Dec 31, 2007 445 Dec 31, 2008 430 Dec 31, 2009 450 Dec 31, 2010 446 Dec 31, 2011 417 Dec 31, 2012 402 Dec 31, 2013 393 Dec 31, 2014 400 Dec 31, 2015 397 Dec 31, 2016 0

Vega-Lite specification:
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Chart description: The number of establishments in the music industry between 2007 and 2017 has stayed roughly the same. The number of establishments increased in 2010 but fell again in 2011.

Chart data: Year Record production Dec 31, 2006 356 Dec 31, 2007 374 Dec 31, 2008 349 Dec 31, 2009 391 Dec 31, 2010 344 Dec 31, 2011 357 Dec 31, 2012 361 Dec 31, 2013 372 Dec 31, 2014 356 Dec 31, 2015 353 Dec 31, 2016 0

Vega-Lite specification:
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Chart description: from 2010, record production and distribution is down year on year with the biggest drop in 2016.

Chart data: Year Record production and distribution (overall) Dec 31, 2006 811 Dec 31, 2007 819 Dec 31, 2008 779 Dec 31, 2009 841 Dec 31, 2010 790 Dec 31, 2011 774 Dec 31, 2012 763 Dec 31, 2013 765 Dec 31, 2014 756 Dec 31, 2015 750 Dec 31, 2016 682

Vega-Lite specification:
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Chart description: The graph shows that the most susceptible group fro Covid infection are the 70 -79 years and the over 80 age group. these groups have the fewest underlying conditions but were still hospitalized. Younger age groups tended to be only hospitalized with Covid if they had underlying health conditions.

Chart data: Patients without underlying conditons Year 0.037 9 years or younger 0.023 10 to 19 years 0.027 20 to 29 years 0.044 30 to 39 years 0.064 40 to 49 years 0.096 50 to 59 years 0.154 60 to 69 years 0.279 70 to 79 years 0.301 80 years and older 0.076 Total

Vega-Lite specification:
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