delen/vistext huggingface dataset:
Chart description: From 2008 - 2014 the attendance rate didn't increase or decrease. From 2014 to 2017 there was a decline in attendance. From 2017 to 2019 it steadied out again and stayed the same.

Chart data: Year Average attendance Dec 31, 2007 68756 Dec 31, 2008 68756 Dec 31, 2009 68756 Dec 31, 2010 68756 Dec 31, 2011 68755 Dec 31, 2012 68756 Dec 31, 2013 68756 Dec 31, 2014 66829 Dec 31, 2015 66829 Dec 31, 2016 65878 Dec 31, 2017 65878 Dec 31, 2018 65878

Vega-Lite specification:
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Chart description: Spanish is the leader for languages other than English spoken at home, followed by Chinese, Tagalog, Vietnamese, and Arabic.

Chart data: Number of speakers Language 41757391 Spanish 3494544 Chinese (incl. Mandarin, Cantonese) 1763585 Tagalog (incl. Filipino) 1570526 Vietnamese 1260437 Arabic 1171775 French (incl. Cajun) 1075247 Korean 941454 Russian 924817 Haitian 895309 German

Vega-Lite specification:
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Chart description: Urbanization increased gradually from 2009 at 0.42 to 0.51 in 2019.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.4259 Dec 31, 2009 0.4348 Dec 31, 2010 0.4437 Dec 31, 2011 0.4525 Dec 31, 2012 0.4612 Dec 31, 2013 0.4698 Dec 31, 2014 0.4784 Dec 31, 2015 0.4868 Dec 31, 2016 0.4952 Dec 31, 2017 0.5034 Dec 31, 2018 0.5116

Vega-Lite specification:
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Chart description: Average ticket price was higher in 2019 than 2006. Ticket price grew or remained the same year on year save for 2015 to 2016 when it fell.

Chart data: Year Average ticket price in U.S. dollars Dec 31, 2005 24.01 Dec 31, 2006 24.01 Dec 31, 2007 25.29 Dec 31, 2008 25.53 Dec 31, 2009 25.53 Dec 31, 2010 26.4 Dec 31, 2011 26.4 Dec 31, 2012 28.45 Dec 31, 2013 28.45 Dec 31, 2014 31 Dec 31, 2015 28.75 Dec 31, 2017 37.33 Dec 31, 2018 37.77

Vega-Lite specification:
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Chart description: Betchel’s global revenue peaked in 2013 at approx $39 billion after overall growth in the years in between from a low of $20 billion in 2006 before declining again.

Chart data: Year Revenue in billion U.S. dollars Dec 31, 2005 20.5 Dec 31, 2006 27 Dec 31, 2007 31.4 Dec 31, 2008 30.8 Dec 31, 2009 27.9 Dec 31, 2010 32.9 Dec 31, 2011 38 Dec 31, 2012 39.4 Dec 31, 2013 37.2 Dec 31, 2014 32.3 Dec 31, 2015 32.9 Dec 31, 2016 25.9 Dec 31, 2017 25.5 Dec 31, 2018 21.8

Vega-Lite specification:
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Chart description: A peak of revenue in dollars was reached in 2013. There is also another slight peak in 2008.

Chart data: Year Revenue in billion U.S. dollars Dec 31, 2005 20.5 Dec 31, 2006 27 Dec 31, 2007 31.4 Dec 31, 2008 30.8 Dec 31, 2009 27.9 Dec 31, 2010 32.9 Dec 31, 2011 38 Dec 31, 2012 39.4 Dec 31, 2013 37.2 Dec 31, 2014 32.3 Dec 31, 2015 32.9 Dec 31, 2016 25.9 Dec 31, 2017 25.5 Dec 31, 2018 21.8

Vega-Lite specification:
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Chart description: Toyota and volkswagen are the most produced cars overall at over 8000 units compared with Geely being the least produced at around 2000 units.

Chart data: Production in thousand units Manufacturer 10466 Toyota 10382 Volkswagen 7218 Hyundai 6857 GM 6387 Ford 5769 Nissan 5237 Honda 4601 Fiat 4154 Renault 3650 PSA 3302 Suzuki 2867 SAIC 2549 Daimler 2506 BMW 1950 Geely

Vega-Lite specification:
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Chart description: In 2017 Toyota and Volkswagen dominated the worldwide car market with both companies producing over 9000 units each. Surprisingly BMW were one of the lowest manufacturers only producing just over 2000 units.

Chart data: Production in thousand units Manufacturer 10466 Toyota 10382 Volkswagen 7218 Hyundai 6857 GM 6387 Ford 5769 Nissan 5237 Honda 4601 Fiat 4154 Renault 3650 PSA 3302 Suzuki 2867 SAIC 2549 Daimler 2506 BMW 1950 Geely

Vega-Lite specification:
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Chart description: There is a clear outlier which is Yuya. Following this the are three others who are at a similar level.  Then the remainder are lower and fairly equal.

Chart data: YouTube channel Number of subscribers in millions Yuya 24.6 jeffreestar 17.1 Musas 14.9 NikkieTutorials 13.6 Zoella 11.2 SaraBeautyCorner 10.6 Tati Westbrook 9.15 Michelle Phan 8.87 grav3yardgirl 8.3 Carli Bybel 6.17

Vega-Lite specification:
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Chart description: There's no obvious pattern here. Apart from Yuya, all chanels seems to have roughly similar number of subscribers.

Chart data: YouTube channel Number of subscribers in millions Yuya 24.6 jeffreestar 17.1 Musas 14.9 NikkieTutorials 13.6 Zoella 11.2 SaraBeautyCorner 10.6 Tati Westbrook 9.15 Michelle Phan 8.87 grav3yardgirl 8.3 Carli Bybel 6.17

Vega-Lite specification:
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Chart description: The smallest companies have less than 1000 employees and these make up the majority of the companies shown. Teila Company AB has the most employees which totals more than 20,000 and just less than 25,000. Eltel AB has the second most with around 7-8000.

Chart data: Telecommunication company Number of employees Telia Company AB 23614 Eltel AB 7563 Tele2 AB 6905 Elisa Oyj 4614 Telia Norge AS 1624 Telenor Sverige AB 1612 Kemp & Lauritzen A/S 1000 TDC A/S 1000 Telenor A/S 1000 Transtema Group AB 589 Teracom AB 482 Svenska Rymd AB 478 Sinch AB (publ) 385 HI3G Denmark ApS 350 TDC Telco ApS 350 Fibia P/S 350 Dansk Kabel TV A/S 350 Stofa A/S 350 Eniig Fiber A/S 350 GlobalConnect A/S 350

Vega-Lite specification:
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Chart description: The home run leader with the most runs is Hank Aaron with over 700 home runs. The home run leader with the least home runs is Waller Berger with 200 home runs. Bob Horner, Freddie Freeman, Javy Lopez and Joe Adcock all have a similar amount of home run totals in the 200s.

Chart data: Home run leader Number of home runs Hank Aaron 733 Eddie Mathews 493 Chipper Jones 468 Dale Murphy 371 Andruw Jones 368 Freddie Freeman 240 Joe Adcock 239 Bob Horner 215 Javy Lopez 214 Wally Berger 199

Vega-Lite specification:
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Chart description: The share of those who have experienced any kind of cyber crime in India is almost double that of Japan. Only the United States and India had a share of greater than 0.6 of respondents who had experienced any kind of cyber crime.

Chart data: Response Share of respondents India 0.8 United States 0.61 France 0.6 New Zealand 0.59 Australia 0.57 Global 0.56 United Kingdom 0.55 Italy 0.53 Netherlands 0.51 Germany 0.47 Japan 0.42

Vega-Lite specification:
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Chart description: Since the dip in 2016 there has been a year on year increase in revenue.

Chart data: Fiscal year Revenue in billion U.S. dollars Dec 31, 2011 71.96 Dec 31, 2012 71.28 Dec 31, 2013 72.62 Dec 31, 2014 73.78 Dec 31, 2015 69.41 Dec 31, 2016 71.79 Dec 31, 2017 74.43 Dec 31, 2018 77.06 Dec 31, 2019 79.79 Dec 31, 2020 81.23 Dec 31, 2021 82.7 Dec 31, 2022 83.78 Dec 31, 2023 84.88 Dec 31, 2024 85.98

Vega-Lite specification:
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Chart description: Virgin Media's revenues rose year on year between 2008 and 2019The biggest rise in VM profits occurred between 2014 and 2018VM;s current profits exceed 5000 M.

Chart data: Year Revenue in million GBP Dec 31, 2007 3655 Dec 31, 2008 3663.9 Dec 31, 2009 3875.8 Dec 31, 2010 3991.8 Dec 31, 2011 4100.5 Dec 31, 2012 4120.4 Dec 31, 2013 4214.2 Dec 31, 2014 4618.4 Dec 31, 2015 4806.1 Dec 31, 2016 4963.2 Dec 31, 2017 5150.3 Dec 31, 2018 5168.2

Vega-Lite specification:
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Chart description: Between 2009 and 2015, the urban population of Sri Lank remained relatively steady, at around 17.5%. After 2015, this increased till the urban population of Sri Lanka was at around 18% in 2019.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.1824 Dec 31, 2009 0.1823 Dec 31, 2010 0.1821 Dec 31, 2011 0.182 Dec 31, 2012 0.182 Dec 31, 2013 0.1822 Dec 31, 2014 0.1826 Dec 31, 2015 0.1831 Dec 31, 2016 0.1838 Dec 31, 2017 0.1848 Dec 31, 2018 0.1859

Vega-Lite specification:
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Chart description: 0.18 of the population is urban.  This has remained fairly stable, though there has been a gradual increase 2014 to 2019 taking it to around 0.19.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.1824 Dec 31, 2009 0.1823 Dec 31, 2010 0.1821 Dec 31, 2011 0.182 Dec 31, 2012 0.182 Dec 31, 2013 0.1822 Dec 31, 2014 0.1826 Dec 31, 2015 0.1831 Dec 31, 2016 0.1838 Dec 31, 2017 0.1848 Dec 31, 2018 0.1859

Vega-Lite specification:
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Chart description: Urbanisation in Sri Lanka has largely remained the same at 0.13 however it took a slight increase from 2016 onwards.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.1824 Dec 31, 2009 0.1823 Dec 31, 2010 0.1821 Dec 31, 2011 0.182 Dec 31, 2012 0.182 Dec 31, 2013 0.1822 Dec 31, 2014 0.1826 Dec 31, 2015 0.1831 Dec 31, 2016 0.1838 Dec 31, 2017 0.1848 Dec 31, 2018 0.1859

Vega-Lite specification:
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Chart description: The graph presents a slow increase in sales per average store from around 2010 to 2015 starting at 4000 dollars and reaching above 5000 dollars. This is followed by a peak and plateau at that amount from 2015 to 2016 and a slow decrease afterward until 2019 when it reaches around 4500 dollars.

Chart data: Year Sales in thousands U.S. dollars Dec 31, 2009 3886 Dec 31, 2010 4463 Dec 31, 2011 4892 Dec 31, 2012 4969 Dec 31, 2013 5061 Dec 31, 2014 5300 Dec 31, 2015 5288 Dec 31, 2016 5003 Dec 31, 2017 4763 Dec 31, 2018 4455

Vega-Lite specification:
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Chart description: Harry Potter is the most popular film on FaceBook with approximately 70 million fans. Titanic is the second most popular with over 50 million fans. Avitar is a close third with just under 50million fans. Of the films listed, Madagascar was the least popular with approximately18 million fans. The majority films listed had around 20 million fans on Facebook.  NOTE: Am I supposed to notice that the y-axis label on this and other diagrams has been wrong?.

Chart data: Facebook fans in millions Country 72.26 Harry Potter 52.93 Titanic 45.36 Avatar 42.85 The Twilight Saga 42.03 Shrek 31.84 Transformers 31.55 Toy Story 24.57 Jackass 23.46 Pirates of the Caribbean 23.33 Frozen 23.27 The Lion King 21.81 The Karate Kid 21.43 Kung Fu Panda 20.86 Twilight 20.49 The Hunger Games 20.08 New Moon 19.49 Star Wars 19.06 Rambo 18.54 Iron Man 18.11 Madagascar

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Chart description: Harry Potter has the most Facebook fans at just over 70mil, Madagascar has the lowest at approx 19mil. The second highest is titanic at just over 59mil.

Chart data: Facebook fans in millions Country 72.26 Harry Potter 52.93 Titanic 45.36 Avatar 42.85 The Twilight Saga 42.03 Shrek 31.84 Transformers 31.55 Toy Story 24.57 Jackass 23.46 Pirates of the Caribbean 23.33 Frozen 23.27 The Lion King 21.81 The Karate Kid 21.43 Kung Fu Panda 20.86 Twilight 20.49 The Hunger Games 20.08 New Moon 19.49 Star Wars 19.06 Rambo 18.54 Iron Man 18.11 Madagascar

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Chart description: Between 2000 and 2018, the number of students enrolled in university in Canada increased. The highest number of students attended in 2018.

Chart data: Year Number of students in thousands Dec 31, 1999 846.6 Dec 31, 2000 850.42 Dec 31, 2001 885.94 Dec 31, 2002 935.86 Dec 31, 2003 994.24 Dec 31, 2004 1020.68 Dec 31, 2005 1050.83 Dec 31, 2006 1066.93 Dec 31, 2007 1072.9 Dec 31, 2008 1112.59 Dec 31, 2009 1199.45 Dec 31, 2010 1234.14 Dec 31, 2011 1260.22 Dec 31, 2012 1281.69 Dec 31, 2013 1298.96 Dec 31, 2014 1303.74 Dec 31, 2015 1306.04 Dec 31, 2016 1320.56 Dec 31, 2017 1341.35

Vega-Lite specification:
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Chart description: The area chart shows in the 1990' the median income in U.s dollars was sitting just over 40,000. This value slowly increased to over 50,000 between 1990 and 2019.

Chart data: Year Median income in 2019 CPI-U-RS adjusted dollars Dec 31, 1989 42482 Dec 31, 1990 41654 Dec 31, 1991 40475 Dec 31, 1992 39984 Dec 31, 1993 40082 Dec 31, 1994 38201 Dec 31, 1995 40541 Dec 31, 1996 42427 Dec 31, 1997 44535 Dec 31, 1998 47326 Dec 31, 1999 49378 Dec 31, 2000 48586 Dec 31, 2001 47174 Dec 31, 2002 45978 Dec 31, 2003 46497 Dec 31, 2004 47200 Dec 31, 2005 48023 Dec 31, 2006 47809 Dec 31, 2007 45129 Dec 31, 2008 45437 Dec 31, 2009 44220 Dec 31, 2010 44000 Dec 31, 2011 43512 Dec 31, 2012 43627 Dec 31, 2013 45931 Dec 31, 2014 48791 Dec 31, 2015 50791 Dec 31, 2016 52321 Dec 31, 2017 52382 Dec 31, 2018 56113

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Chart description: People tend to describe Trump using unfavorable words such as idiot, crazy and arrogant. A average amount of people think he's funny and like a clown. But there're still some people like him.

Chart data: Share of respondents Response 0.098 Idiot/Jerk/Stupid/Dumb 0.06 Arrogant 0.056 Crazy/Nuts 0.047 Buffoon/Clown/Comical/Joke 0.043 Unfavorable/Disklike him 0.041 Egotistical/Narcissist/Selfish 0.038 Bombastic/Showoff/Pompous 0.031 Outspoken/Frank/Opinionated 0.029 Entertaining/Entertainer 0.027 Businessman/Successful 0.027 Honest/Trustworthy/Truthful 0.027 Cunning/Untrustworthy/Dishonest 0.026 Blow hard/Boisterous 0.026 Favorable/Like him 0.018 Exhilarating/Exciting/Ballsy 0.017 Aggressive 0.015 Blunt/Brash

Vega-Lite specification:
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Chart description: Donald Trump is viewed as unpopular, if further grouping negative or positive traits would should massively on a scale.

Chart data: Share of respondents Response 0.098 Idiot/Jerk/Stupid/Dumb 0.06 Arrogant 0.056 Crazy/Nuts 0.047 Buffoon/Clown/Comical/Joke 0.043 Unfavorable/Disklike him 0.041 Egotistical/Narcissist/Selfish 0.038 Bombastic/Showoff/Pompous 0.031 Outspoken/Frank/Opinionated 0.029 Entertaining/Entertainer 0.027 Businessman/Successful 0.027 Honest/Trustworthy/Truthful 0.027 Cunning/Untrustworthy/Dishonest 0.026 Blow hard/Boisterous 0.026 Favorable/Like him 0.018 Exhilarating/Exciting/Ballsy 0.017 Aggressive 0.015 Blunt/Brash

Vega-Lite specification:
{"config": {"range": {"category": ["#4c78a8", "#9ecae9", "#f58518", "#ffbf79", "#54a24b", "#88d27a", "#b79a20", "#f2cf5b", "#439894", "#83bcb6", "#e45756", "#ff9d98", "#79706e", "#bab0ac", "#d67195", "#fcbfd2", "#b279a2", "#d6a5c9", "#9e765f", "#d8b5a5"]}}, "data": {"url": "data/3293.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#83bcb6"}, "x": {"type": "quantitative", "axis": {"labelAngle": -90, "title": "Share of respondents"}, "field": "Share of respondents"}, "y": {"type": "nominal", "axis": {"labelAngle": -45}, "bin": false, "field": "Response"}}, "title": ["How would you describe Donald Trump in one", "word ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The most common response by some distance is Idiot/Jerk/Stupid/Dumb. The next most common responses are also negative descriptions.

Chart data: Share of respondents Response 0.098 Idiot/Jerk/Stupid/Dumb 0.06 Arrogant 0.056 Crazy/Nuts 0.047 Buffoon/Clown/Comical/Joke 0.043 Unfavorable/Disklike him 0.041 Egotistical/Narcissist/Selfish 0.038 Bombastic/Showoff/Pompous 0.031 Outspoken/Frank/Opinionated 0.029 Entertaining/Entertainer 0.027 Businessman/Successful 0.027 Honest/Trustworthy/Truthful 0.027 Cunning/Untrustworthy/Dishonest 0.026 Blow hard/Boisterous 0.026 Favorable/Like him 0.018 Exhilarating/Exciting/Ballsy 0.017 Aggressive 0.015 Blunt/Brash

Vega-Lite specification:
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