delen/vistext huggingface dataset:
Chart description: the number of Canadian students enrolled in postsecondary institutions in Canada from 200 to 2018 shows a positive correlation.

Chart data: Year Number of Canadian students in millions Dec 31, 1999 0.99 Dec 31, 2000 1.34 Dec 31, 2001 1.4 Dec 31, 2002 1.46 Dec 31, 2003 1.53 Dec 31, 2004 1.55 Dec 31, 2005 1.58 Dec 31, 2006 1.62 Dec 31, 2007 1.65 Dec 31, 2008 1.68 Dec 31, 2009 1.77 Dec 31, 2010 1.82 Dec 31, 2011 1.84 Dec 31, 2012 1.85 Dec 31, 2013 1.85 Dec 31, 2014 1.82 Dec 31, 2015 1.8 Dec 31, 2016 1.8 Dec 31, 2017 1.8

Vega-Lite specification:
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Chart description: There is a steady increase of student enrolled from 2000 to 2020. There is a 50% increase.

Chart data: Year Number of Canadian students in millions Dec 31, 1999 0.99 Dec 31, 2000 1.34 Dec 31, 2001 1.4 Dec 31, 2002 1.46 Dec 31, 2003 1.53 Dec 31, 2004 1.55 Dec 31, 2005 1.58 Dec 31, 2006 1.62 Dec 31, 2007 1.65 Dec 31, 2008 1.68 Dec 31, 2009 1.77 Dec 31, 2010 1.82 Dec 31, 2011 1.84 Dec 31, 2012 1.85 Dec 31, 2013 1.85 Dec 31, 2014 1.82 Dec 31, 2015 1.8 Dec 31, 2016 1.8 Dec 31, 2017 1.8

Vega-Lite specification:
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Chart description: The trend is a rise in doctors per 1000 patients by over 20% in 15 years.

Chart data: Year Number of doctors per 1,000 people Dec 31, 1999 3.85 Dec 31, 2000 3.96 Dec 31, 2001 4.03 Dec 31, 2002 4.11 Dec 31, 2003 4.2 Dec 31, 2004 4.32 Dec 31, 2005 4.45 Dec 31, 2006 4.54 Dec 31, 2007 4.6 Dec 31, 2008 4.69 Dec 31, 2009 4.8 Dec 31, 2010 4.84 Dec 31, 2011 4.9 Dec 31, 2012 4.99 Dec 31, 2013 5.05 Dec 31, 2014 5.09 Dec 31, 2015 5.13 Dec 31, 2016 5.18

Vega-Lite specification:
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Chart description: Over the course of 17 years, the number of doctors per 1000 people steadily increased from roughly 3.8 to 5.2. The increase seems to be relatively steady i.e. the rate of increase is constant.

Chart data: Year Number of doctors per 1,000 people Dec 31, 1999 3.85 Dec 31, 2000 3.96 Dec 31, 2001 4.03 Dec 31, 2002 4.11 Dec 31, 2003 4.2 Dec 31, 2004 4.32 Dec 31, 2005 4.45 Dec 31, 2006 4.54 Dec 31, 2007 4.6 Dec 31, 2008 4.69 Dec 31, 2009 4.8 Dec 31, 2010 4.84 Dec 31, 2011 4.9 Dec 31, 2012 4.99 Dec 31, 2013 5.05 Dec 31, 2014 5.09 Dec 31, 2015 5.13 Dec 31, 2016 5.18

Vega-Lite specification:
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Chart description: The most tickets were sold for incredibles 2. Least tickets sold was for dead pool 2.

Chart data: Most viewed films Number of tickets sold in millions Incredibles 2 3.6 Coco 3.2 Avengers: Infinity War 2.92 Hotel Transylvania 2.57 Jurassic World: Fallen Kingdom 2.36 Bohemian Rapsody 1.45 El Ángel 1.36 Jumanji: Welcome to the Jungle 1.34 The Nun 1.17 Deadpool 2 1.04

Vega-Lite specification:
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Chart description: Investment in private equity companies in Denmark peaks at 1500 million Euros in 2013.  Between 2007 and 2016 investment varies between just under 500 million Euros to 1500 million Euros, but with no discernible general trend.

Chart data: Year Total investment in million euros Dec 31, 2006 1426.88 Dec 31, 2007 572.73 Dec 31, 2008 490.39 Dec 31, 2009 457.93 Dec 31, 2010 482.74 Dec 31, 2011 773.74 Dec 31, 2012 1488.68 Dec 31, 2013 690.06 Dec 31, 2014 1382.41 Dec 31, 2015 1220.01

Vega-Lite specification:
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Chart description: The X-axis plotting the year increases in increments of 2. The Y-axis plotting production increases it in increments of 50 million heads. The lowest chicken production in Malaysia was in 2005 at just over 175 million heads. The highest chicken production in Malaysia was in 2018 at just under 325 million heads. There has been a steady increase in chicken production in Malaysia from 2005 to 2018.

Chart data: Year Production in million heads Dec 31, 2004 174.69 Dec 31, 2005 179.23 Dec 31, 2006 188.38 Dec 31, 2007 198.93 Dec 31, 2008 201.97 Dec 31, 2009 217.23 Dec 31, 2010 232.87 Dec 31, 2011 251.16 Dec 31, 2012 274.93 Dec 31, 2013 280.27 Dec 31, 2014 286.62 Dec 31, 2015 289.67 Dec 31, 2016 308.26 Dec 31, 2017 321.31

Vega-Lite specification:
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Chart description: The production of chicken has gone up between 2005 and 2018. There was a sharp increase in production between 2009 and 2013.

Chart data: Year Production in million heads Dec 31, 2004 174.69 Dec 31, 2005 179.23 Dec 31, 2006 188.38 Dec 31, 2007 198.93 Dec 31, 2008 201.97 Dec 31, 2009 217.23 Dec 31, 2010 232.87 Dec 31, 2011 251.16 Dec 31, 2012 274.93 Dec 31, 2013 280.27 Dec 31, 2014 286.62 Dec 31, 2015 289.67 Dec 31, 2016 308.26 Dec 31, 2017 321.31

Vega-Lite specification:
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Chart description: player expense are increasing each year from 2002 to 2014, then dropped significantly at 2016.

Chart data: Year Player expenses in million U.S. dollars Dec 31, 2000 53 Dec 31, 2001 70 Dec 31, 2002 86 Dec 31, 2003 106 Dec 31, 2004 104 Dec 31, 2005 108 Dec 31, 2006 113 Dec 31, 2007 128 Dec 31, 2008 143 Dec 31, 2009 150 Dec 31, 2010 180 Dec 31, 2011 184 Dec 31, 2012 178 Dec 31, 2013 198 Dec 31, 2014 164 Dec 31, 2015 126 Dec 31, 2016 119 Dec 31, 2017 120 Dec 31, 2018 182

Vega-Lite specification:
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Chart description: The field of study with the highest number of international students was engineering with over 200,000, closely followed by math and computer science. The field of study with the smallest number of international students was agriculture with around 10,000 students. The majority of fields of study had less than 50,000 international students.

Chart data: Fields of study Number of students Engineering 220542 Math and Computer Science 205207 Business and Management 174470 Social Sciences 84440 Physical and Life Sciences 81971 Fine and Applied Arts 64501 Health Professions 34934 Communications and Journalism 23925 Intensive English 21301 Humanities 16269 Legal Studies and Law Enforcement 16269 Education 15700 Agriculture 13134

Vega-Lite specification:
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Chart description: Business, maths, computer science and engineering is the most popular subjects for international students in the USA.

Chart data: Fields of study Number of students Engineering 220542 Math and Computer Science 205207 Business and Management 174470 Social Sciences 84440 Physical and Life Sciences 81971 Fine and Applied Arts 64501 Health Professions 34934 Communications and Journalism 23925 Intensive English 21301 Humanities 16269 Legal Studies and Law Enforcement 16269 Education 15700 Agriculture 13134

Vega-Lite specification:
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Chart description: There is quite a few companies with unpublished titles. There is 3 companies with published titles, Amazon, Blurb Inc and lulu press Inc however Amazon is the only company with over 500,000 published titles.

Chart data: Number of published titles company 1416384 Amazon’s CreateSpace/Independently Published 37546 Lulu Press, Inc.* 17682 Blurb, Inc. 5284 Xlibris (Div. of Author Solutions) 3815 AuthorHouse (Div. of Author Solutions) 3142 Christian Faith Publishing 2245 Independent Publisher (Bar Code Graphics) 2208 WestBow Press (imprint of Author Solutions) 2087 Page Publishing, Inc. 1603 Salem Author Services [formerly Xulon Press]

Vega-Lite specification:
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Chart description: The largest self-publishing company in the USA in 2018 was ‘Amazon’s CreateSpace/Independe…’. They published around 1,400,000 books. The next highest publisher appears to be ‘Lulu Press, Inc’; however, they have an asterisk next to their name and we do not have any information re the meaning of this asterisk so to be on the safe side we should ignore their data. ‘Blurb, Inc’ is the next highest publisher, with fewer than 100,000 books published. The other 7 companies on this chart published fewer books than ‘Blurb, Inc’ but the bar graph doesn’t provide sufficient detail on their exact data.

Chart data: Number of published titles company 1416384 Amazon’s CreateSpace/Independently Published 37546 Lulu Press, Inc.* 17682 Blurb, Inc. 5284 Xlibris (Div. of Author Solutions) 3815 AuthorHouse (Div. of Author Solutions) 3142 Christian Faith Publishing 2245 Independent Publisher (Bar Code Graphics) 2208 WestBow Press (imprint of Author Solutions) 2087 Page Publishing, Inc. 1603 Salem Author Services [formerly Xulon Press]

Vega-Lite specification:
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Chart description: 5star hotels/resorts and cruise ship (luxury) are the most popular accommodation choices with each having over 0.4 share of the respondents. The least popular, with around 0.1 share, was villa. Boutique hotels were also popular, chosen by 0.4 share. The other choices were all approximately equally popular, scoring around 0.2 share.

Chart data: Response Share of respondents Cruise ship (luxury) 0.435 5-star hotels/resorts 0.431 Boutique hotels 0.405 4-star hotels/resorts 0.237 5-star hotels/resorts – suites 0.215 5-star + (plus) hotels/resorts 0.191 4-star hotels/resorts – suites 0.19 Cruise ship (not luxury) in a suite 0.184 5-star + (plus) hotels/resorts – suites 0.16 Villa 0.102

Vega-Lite specification:
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Chart description: 4 start hotels have an even distribution. large difference between cruise ships. 5 start hotels distribution varies greatly.

Chart data: Response Share of respondents Cruise ship (luxury) 0.435 5-star hotels/resorts 0.431 Boutique hotels 0.405 4-star hotels/resorts 0.237 5-star hotels/resorts – suites 0.215 5-star + (plus) hotels/resorts 0.191 4-star hotels/resorts – suites 0.19 Cruise ship (not luxury) in a suite 0.184 5-star + (plus) hotels/resorts – suites 0.16 Villa 0.102

Vega-Lite specification:
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Chart description: Lack of a partner has the most shares of respondents by a large factor of over 3 times the next highest, still too young. No response and other have the lowest amount of shares of respondents and are Equal. The other responses are roughly equal.

Chart data: Share of respondents Response 0.719 Lack of a partner 0.185 Still too young 0.126 No reason in particular 0.091 Concerns about sexually transmitted diseases 0.089 Not sure what to do 0.087 Too much hassle 0.087 Concerns about pregnancy 0.079 Premarital sex is wrong 0.05 Lack of sexual desire 0.036 Aversion to sex 0.024 Other 0.023 No response

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Chart description: the 2016/17 season saw the Dallas Mavericks have their highest spend on player expenses, which exceeded $120 million. The two highest expenditures on player expenses came in the last 3 years of the dataset.

Chart data: Year Player expenses in million U.S. dollars 18/19 108 17/18 92 16/17 127 15/16 86 14/15 90 13/14 82 12/13 75 11/12 67 10/11 88 09/10 81 08/09 99 07/08 103 06/07 91 05/06 97 04/05 95 03/04 83 02/03 75 01/02 58

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Chart description: 2018 has a considerably higher data point and is marked with a star but no information is provided relating to the star.

Chart data: Number of employees Year 4925 2018* 3526 2017 3679 2016 3927 2015 3972 2014 3764 2013 3842 2012 3750 2011 3754 2010 3696 2009 3544 2008

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Chart description: The graph shows that from the year of 2008 to 2016 the natural gas production has fallen from around 6500 to 4500.

Chart data: Year Production in million cubic feet per day Dec 31, 2007 6919 Dec 31, 2008 7031 Dec 31, 2009 7020 Dec 31, 2010 6594 Dec 31, 2011 6385 Dec 31, 2012 6370 Dec 31, 2013 6532 Dec 31, 2014 6401 Dec 31, 2015 5793 Dec 31, 2016 5068 Dec 31, 2017 4803 Dec 31, 2018 4816

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Chart description: Overall, revenue has increased in the mechanical engineering industry in Brazil between 2006 and 2017, rising from 22 billion to 37 billion, although there was fluctuation in the years between and not a consistent increase. The highest revenue was in 2014, reaching around 48 billion. There were drops in revenue in 2009, decreasing from 35 billion in 2008 to 30 billion in 2009, and in 2015 and 2016. From the peak of 48 billion in 2014, revenue dropped to 35 billion in 2015, with a further decrease to 31 billion in 2016, before beginning to increase again in 2017 to 37 billion.

Chart data: Year Revenue in billion U.S. dollars 2017** 36.96 2016** 30.8 2015 35.72 2014 48.04 2013 46.81 2012 46.81 2011 46.81 2010 44.35 2009 29.56 2008 34.49 2007 33.26 2006 23.41

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Chart description: Though total opium poppy field area destroyed in Thailand from 1995 to 2013 (in hectares) are high during the period 1995-2004, it can be seen that it got reduced effectively during 2004-2015.

Chart data: Year Area in hectares Dec 31, 1994 580 Dec 31, 1995 886 Dec 31, 1996 1053 Dec 31, 1997 716 Dec 31, 1998 808 Dec 31, 1999 757 Dec 31, 2000 832 Dec 31, 2001 989 Dec 31, 2002 767 Dec 31, 2003 122 Dec 31, 2004 110 Dec 31, 2005 153 Dec 31, 2006 220 Dec 31, 2007 285 Dec 31, 2008 201 Dec 31, 2009 278 Dec 31, 2010 208 Dec 31, 2011 205 Dec 31, 2012 264

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Chart description: The vast majority of active enterprises in Canada in 2013 had 4 or less employees. There were between 700,000 and 800,000 enterprises with 4 or less employees.   There were approximately 200,000 enterprises with 5 to 9 employees in 2013.   Overall, very few enterprises had over 50 employees.

Chart data: Enterprise size in employees Number of active enterprises 1-4 750180 5-9 194680 10-19 105280 20-49 62850 50-99 18880 100-199 7100 200-249 1060 250-499 1850 500-999 790 1000 or more 750

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Chart description: The average usual weekly hours worked on a main job in Luxembourg from 2000 to 2019 has been consistently steady in that period, and has not dropped below 37  hours on average.

Chart data: Year Average usual weekly hours Dec 31, 1999 37.5 Dec 31, 2000 37.2 Dec 31, 2001 37.3 Dec 31, 2002 37.1 Dec 31, 2003 37 Dec 31, 2004 36.8 Dec 31, 2005 36.9 Dec 31, 2006 36.7 Dec 31, 2007 36.7 Dec 31, 2008 36.9 Dec 31, 2009 36.8 Dec 31, 2010 36.6 Dec 31, 2011 36.8 Dec 31, 2012 36.9 Dec 31, 2013 36.9 Dec 31, 2014 37.2 Dec 31, 2015 37.3 Dec 31, 2016 37.2 Dec 31, 2017 37.4 Dec 31, 2019 37.6

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Chart description: From 1870 to 2020, the life expectancy in New Zealand increased. In 1870 it was below 40 years and by 2020 it was above 80 years.

Chart data: Year Life expectancy in years Dec 31, 1869 34.05 Dec 31, 1874 35.39 Dec 31, 1879 37.62 Dec 31, 1884 39.85 Dec 31, 1889 42.08 Dec 31, 1894 44.31 Dec 31, 1899 46.55 Dec 31, 1904 48.78 Dec 31, 1909 51.01 Dec 31, 1914 53.24 Dec 31, 1919 53.78 Dec 31, 1924 57.7 Dec 31, 1929 59.93 Dec 31, 1934 62.17 Dec 31, 1939 64.4 Dec 31, 1944 66.63 Dec 31, 1949 68.7 Dec 31, 1954 69.77 Dec 31, 1959 70.69 Dec 31, 1964 71.18 Dec 31, 1969 71.27 Dec 31, 1974 71.78 Dec 31, 1979 72.63 Dec 31, 1984 73.77 Dec 31, 1989 74.45 Dec 31, 1994 76.35 Dec 31, 1999 77.57 Dec 31, 2004 79.07 Dec 31, 2009 80.32 Dec 31, 2014 81.32 Dec 31, 2019 82.06

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Chart description: The biggest impact of the crimes listed here come from lost productivity as a result of the crimes,  as opposed to the medical cost. After the cost of lost productivity would come police wages.

Chart data: Economic effect in million U.S. dollars Static and dynamic indicators 178427.1 Assault, lost productivity (dynamic) 71009.66 Incarceration, lost work (dynamic) 56394.99 Police, wages (static) 48555.81 Homicide, lost productivity (dynamic) 41684.1 Incarceration, government costs (static) 37976.99 Assault, medical costs (static) 20498.53 Rape, lost productivity (dynamic) 5702.21 Legal and judicial, government costs (static) 489.95 Robbery, property damage (static) 91.62 Homicide, medical costs (static)

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