delen/vistext huggingface dataset:
Chart description: Chapman automotive is the leading U.S internet car dealership, closely followed by Cardinals Automotive Group and Dave Smith Motors. All 4 of these top competitors are making unit sales of over 9,500. Their next closest competitor is Ed Morse internet Division, whose unit sales are less than half of this.

Chart data: New Internet unit sales The leading U\.S\. Internet car dealerships 10884 U.S. Internet car dealerships: Cardinale Automotive Group - Internet Unit 11510 U.S. Internet car dealerships: Chapman Automotive - Internet Unit 9769 .S. Internet car dealerships: Dave Smith Motors 4775 .S. Internet car dealerships: Ed Morse Internet Division 4240 .S. Internet car dealerships: Jim Koons - Tysons GM/Chrysler 3734 .S. Internet car dealerships: Jim Koons - Tyson's Toyota 2410 .S. Internet car dealerships: Rick Case Automall Davie 1743 .S. Internet car dealerships: Herb Chambers Lexus 1876 .S. Internet car dealerships: Jim Koons - White Marsh 1478 .S. Internet car dealerships: Herb Chambers Honda of Seekonk

Vega-Lite specification:
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Chart description: There seem to be 3 major sub groups of internet car dealerships based on the unit sales. Most of the unit sales are from three car dealerships out of nine.

Chart data: New Internet unit sales The leading U\.S\. Internet car dealerships 10884 U.S. Internet car dealerships: Cardinale Automotive Group - Internet Unit 11510 U.S. Internet car dealerships: Chapman Automotive - Internet Unit 9769 .S. Internet car dealerships: Dave Smith Motors 4775 .S. Internet car dealerships: Ed Morse Internet Division 4240 .S. Internet car dealerships: Jim Koons - Tysons GM/Chrysler 3734 .S. Internet car dealerships: Jim Koons - Tyson's Toyota 2410 .S. Internet car dealerships: Rick Case Automall Davie 1743 .S. Internet car dealerships: Herb Chambers Lexus 1876 .S. Internet car dealerships: Jim Koons - White Marsh 1478 .S. Internet car dealerships: Herb Chambers Honda of Seekonk

Vega-Lite specification:
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Chart description: The distribution of gross domestic product has declined from 2009 to 2019, however there are certain peaks such as in 2013 and 2016.

Chart data: Year Agriculture Dec 31, 2008 0.0708 Dec 31, 2009 0.068 Dec 31, 2010 0.0676 Dec 31, 2011 0.0614 Dec 31, 2012 0.0684 Dec 31, 2013 0.0595 Dec 31, 2014 0.0624 Dec 31, 2015 0.0637 Dec 31, 2016 0.056 Dec 31, 2017 0.0589 Dec 31, 2018 0.061

Vega-Lite specification:
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Chart description: Bosnia and Herzegovina has reported relatively stable distribution of GDP from 2008 to 2020 with values ranging from 0.22 to just under 0.25. The highest distribution of almost 0.25 was reported in 2018 while the lowest of 0.22 was in 2012. The most recent data in 202 sees a reported value of 0.24.

Chart data: Year Industry Dec 31, 2008 0.2284 Dec 31, 2009 0.2239 Dec 31, 2010 0.2213 Dec 31, 2011 0.2154 Dec 31, 2012 0.2223 Dec 31, 2013 0.2206 Dec 31, 2014 0.2254 Dec 31, 2015 0.2316 Dec 31, 2016 0.2391 Dec 31, 2017 0.2452 Dec 31, 2018 0.2374

Vega-Lite specification:
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Chart description: The overall trend of of deaths per million trended towards 0 within the shown time period. In the early 1870s there was a spike in deaths per millions close to that of late 1830s. However, the average trend down continued on the same average line down right after. In most of the early portion of each decade, there was a minor spike that proceeded to drop back down.

Chart data: Year England and Wales Dec 31, 1837 1064 Dec 31, 1838 589 Dec 31, 1839 661 Dec 31, 1840 400 Dec 31, 1841 168 Dec 31, 1842 0 Dec 31, 1843 0 Dec 31, 1844 0 Dec 31, 1845 0 Dec 31, 1846 246 Dec 31, 1847 397 Dec 31, 1848 264 Dec 31, 1849 262 Dec 31, 1850 389 Dec 31, 1851 401 Dec 31, 1852 171 Dec 31, 1853 151 Dec 31, 1854 131 Dec 31, 1855 116 Dec 31, 1856 202 Dec 31, 1857 329 Dec 31, 1858 193 Dec 31, 1859 136 Dec 31, 1860 64 Dec 31, 1861 78 Dec 31, 1862 286 Dec 31, 1863 364 Dec 31, 1864 301 Dec 31, 1865 139 Dec 31, 1866 114 Dec 31, 1867 91 Dec 31, 1868 67 Dec 31, 1869 113 Dec 31, 1870 1012 Dec 31, 1871 821 Dec 31, 1872 98 Dec 31, 1873 88 Dec 31, 1874 35 Dec 31, 1875 99 Dec 31, 1876 173 Dec 31, 1877 74 Dec 31, 1878 21 Dec 31, 1879 25 Dec 31, 1880 119 Dec 31, 1881 50 Dec 31, 1882 36 Dec 31, 1883 82 Dec 31, 1884 103 Dec 31, 1885 11 Dec 31, 1886 19 Dec 31, 1887 39 Dec 31, 1888 0.8 Dec 31, 1889 0.6 Dec 31, 1890 1.9 Dec 31, 1891 14.7 Dec 31, 1892 49 Dec 31, 1893 27 Dec 31, 1894 7 Dec 31, 1895 17 Dec 31, 1896 0.8 Dec 31, 1897 8 Dec 31, 1898 5 Dec 31, 1899 3

Vega-Lite specification:
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Chart description: Footwear segments for Nike have rapidly increased from 2009 to 2020.

Chart data: Year Footwear Dec 31, 2008 940 Dec 31, 2009 953 Dec 31, 2010 1164 Dec 31, 2011 1520 Dec 31, 2012 1495 Dec 31, 2013 1600 Dec 31, 2014 2016 Dec 31, 2015 2599 Dec 31, 2016 2920 Dec 31, 2017 3496 Dec 31, 2018 4262 Dec 31, 2019 4635

Vega-Lite specification:
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Chart description: I am not sure what apparel means in the context of revenue. However, apparel has been slowly increasing over time, with the rate of change increasing 2017-2019.

Chart data: Year Apparel Dec 31, 2008 700 Dec 31, 2009 684 Dec 31, 2010 789 Dec 31, 2011 910 Dec 31, 2012 844 Dec 31, 2013 876 Dec 31, 2014 925 Dec 31, 2015 1055 Dec 31, 2016 1188 Dec 31, 2017 1508 Dec 31, 2018 1808 Dec 31, 2019 1896

Vega-Lite specification:
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Chart description: Nike have continued to grow their business  steadily and in 2020 they peaked at 150 million.  Based on this they will continue to increase their revenue steadily if they continue what they are doing.

Chart data: Year Equipment Dec 31, 2008 103 Dec 31, 2009 105 Dec 31, 2010 107 Dec 31, 2011 131 Dec 31, 2012 139 Dec 31, 2013 126 Dec 31, 2014 126 Dec 31, 2015 131 Dec 31, 2016 129 Dec 31, 2017 130 Dec 31, 2018 138 Dec 31, 2019 148

Vega-Lite specification:
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Chart description: Generally operating expenditure of public libraries has decreased between 2002 and 2013. Operating expenditures were highest in 2002. Between 2011 and 2013 there was no significant change in operating expenditures of public libraries.

Chart data: Year Collections expenditure Dec 31, 2001 5.15 Dec 31, 2002 4.96 Dec 31, 2003 4.73 Dec 31, 2004 4.74 Dec 31, 2005 4.81 Dec 31, 2006 4.9 Dec 31, 2007 4.88 Dec 31, 2008 4.57 Dec 31, 2009 4.31 Dec 31, 2010 4.09 Dec 31, 2012 4.07

Vega-Lite specification:
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Chart description: Industry has historically had a growing share of GDP until 2011 when it peaked at 0.25%. Since then, there was a steep drop in share to 0.225% in 2012 and then steady growth up to almost 0.30% in 2020.

Chart data: Year Industry Dec 31, 2008 0.2364 Dec 31, 2009 0.2627 Dec 31, 2010 0.2745 Dec 31, 2011 0.2226 Dec 31, 2012 0.2484 Dec 31, 2013 0.2389 Dec 31, 2014 0.2508 Dec 31, 2015 0.2655 Dec 31, 2016 0.2731 Dec 31, 2017 0.2748 Dec 31, 2018 0.2761

Vega-Lite specification:
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Chart description: The number of fans increased steadily from2012 to 13 and then increased rapidly increased until 2015 with a minor blip before rising to the new high in 2016 which has roughly plateaued.

Chart data: Month Facebook fans Jul 31, 2012 3.27 Jan 31, 2013 3.44 Jul 31, 2013 3.51 Jan 31, 2014 3.87 Jul 31, 2014 4.42 Jan 31, 2015 5.12 Jul 31, 2015 4.97 Jan 31, 2016 5.22 Jul 31, 2016 5.26 Jan 31, 2017 5.31 Jul 31, 2017 5.31 Jan 31, 2018 5.31 Jul 31, 2018 5.31 Jan 31, 2019 5.34 Jul 31, 2019 5.3 Jan 31, 2020 5.3 Jul 31, 2020 5.25

Vega-Lite specification:
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Chart description: From 2014 to 2015 NFL followers grew from just over 3 million to over 5 million before dropping slightly and then levelling out.

Chart data: Month Facebook fans Jul 31, 2012 3.27 Jan 31, 2013 3.44 Jul 31, 2013 3.51 Jan 31, 2014 3.87 Jul 31, 2014 4.42 Jan 31, 2015 5.12 Jul 31, 2015 4.97 Jan 31, 2016 5.22 Jul 31, 2016 5.26 Jan 31, 2017 5.31 Jul 31, 2017 5.31 Jan 31, 2018 5.31 Jul 31, 2018 5.31 Jan 31, 2019 5.34 Jul 31, 2019 5.3 Jan 31, 2020 5.3 Jul 31, 2020 5.25

Vega-Lite specification:
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Chart description: The Green Bay Packer's Facebook/Twitter following has been on a steady increase since 2012 to mid 2016, and has spiked in followers through to 2018 where it has remained level through to 2020.

Chart data: Month Twitter followers Jul 31, 2012 0.3 Jan 31, 2013 0.41 Jul 31, 2013 0.49 Jan 31, 2014 0.63 Jul 31, 2014 0.69 Jan 31, 2015 0.91 Jul 31, 2015 1.12 Jan 31, 2016 1.22 Jul 31, 2016 1.34 Jan 31, 2017 1.7 Jul 31, 2017 1.88 Jan 31, 2018 2.2 Jul 31, 2018 2.21 Jan 31, 2019 2.22 Jul 31, 2019 2.2 Jan 31, 2020 2.31 Jul 31, 2020 2.2

Vega-Lite specification:
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Chart description: The average price for natural gas was highest in 2008 and lowest around 2016. There seems to be a general decease in price over the years.

Chart data: Year Commercial Dec 31, 2007 12.23 Dec 31, 2008 10.06 Dec 31, 2009 9.47 Dec 31, 2010 8.91 Dec 31, 2011 8.1 Dec 31, 2012 8.08 Dec 31, 2013 8.9 Dec 31, 2014 7.91 Dec 31, 2015 7.28 Dec 31, 2016 7.88 Dec 31, 2017 7.83 Dec 31, 2018 7.64

Vega-Lite specification:
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Chart description: The average prices for natural gas dropped by over half between 2008 and 2012.

Chart data: Year Electric power Dec 31, 2007 9.26 Dec 31, 2008 4.93 Dec 31, 2009 5.27 Dec 31, 2010 4.89 Dec 31, 2011 3.54 Dec 31, 2012 4.49 Dec 31, 2013 5.19 Dec 31, 2014 3.38 Dec 31, 2015 2.99 Dec 31, 2016 3.51 Dec 31, 2017 3.68 Dec 31, 2018 2.99

Vega-Lite specification:
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Chart description: Demand is highest in Iran and Other Africa. Demand is lowest in Morocco and Syria.

Chart data: 2007 Country 0.1 Egypt 0.1 South Africa 0.09 Nigeria 0.04 Algeria 0.02 Morroco 0.19 Other Africa 0.19 Iran 0.08 Saudi Arabia 0.05 Iraq 0.03 United Arab Emirates 0.02 Syria 0.09 Other Middle East

Vega-Lite specification:
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Chart description: Other Africa and Iran are the highest users of lubricant. Syria is the country with the least demand for lubricant.

Chart data: 2014 Country 0.1 Egypt 0.09 South Africa 0.09 Nigeria 0.04 Algeria 0.03 Morroco 0.19 Other Africa 0.18 Iran 0.1 Saudi Arabia 0.05 Iraq 0.03 United Arab Emirates 0.02 Syria 0.08 Other Middle East

Vega-Lite specification:
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Chart description: Sponsorship spending in Central/ South America gradually increased from 2009 to 2018. Increments are small, but the biggest increase was from 2013 to 2014.

Chart data: Year Central / South America 2018** 4.6 2017 4.5 2016 4.4 2015 4.3 2014 4.2 2013 4 2012 3.9 2011 3.7 2010 3.6 2009 3.5

Vega-Lite specification:
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Chart description: Global sponsorship spending in Europe increased each year from 2009 to 2018**.  In 2009 Europe spent around 12 billion US dollars.  In 2018** this had increased to nearly 17 billion US dollars.

Chart data: Year Europe 2018** 17.6 2017 16.7 2016 16 2015 15.3 2014 14.8 2013 14.5 2012 14.1 2011 13.5 2010 12.9 2009 12.1

Vega-Lite specification:
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Chart description: Real Madrid get the most sponsorship revenue. I don't understand why the Y axis is labelled stadium with a number on it. Ignoring that, Juventus then gets the least amount of sponsorship of the four teams mentioned.

Chart data: top football teams Stadium Real Madrid 28 Manchester United 22 Bayern Munich 9 Juventus 7

Vega-Lite specification:
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Chart description: Revenue values were consistently low (around 1 to 2 million GBP) from Q1 2014 until Q3 2015 (inclusive). Q4 2015 displays a comparative increase in revenue (approx 32 million GBP). Q1 2016 to Q4 2017 values were higher and stable (around 54-60 million GBP).

Chart data: Mobile Quarter 56 Q4 2017 55 Q3 2017 60 Q2 2017 57 Q1 2017 57 Q4 2016 58 Q3 2016 54 Q2 2016 54 Q1 2016 33 Q4 2015 1 Q3 2015 1 Q2 2015 2 Q1 2015 2 Q4 2014 1 Q3 2014 1 Q2 2014 1 Q1 2014

Vega-Lite specification:
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Chart description: The total number of hours male physicians work per week is 50 hours in Canada 2019. For men, the activity with the greatest amount of weekly hours is direct patient care with 27 hours. The activity with the least hours spend is ‘other activities’ and ‘health facility committees’. Overall, most activities took less than 2 hours.

Chart data: Male activity 26.73 Direct patient care without a teaching component 6.71 Direct patient care with a teaching component 1.33 Teaching/educating without direct patient care 6.15 Indirect patient care 1.01 Health facility committees 2.85 Administration 1.33 Research 1.54 Managing practice 2.38 CME/CPD 0.55 Other activities 50.58 Total hours

Vega-Lite specification:
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Chart description: It reads that Males work an overall total of 50 working hours, with over half of those hours working directly with patients without a teaching degree? (I cannot read the full description). This indicates that over half of the Male workforce are unqualified to work directly with patients, with a small number that are qualified, as well as being the second most popular activity regarding working hours.

Chart data: Male activity 26.73 Direct patient care without a teaching component 6.71 Direct patient care with a teaching component 1.33 Teaching/educating without direct patient care 6.15 Indirect patient care 1.01 Health facility committees 2.85 Administration 1.33 Research 1.54 Managing practice 2.38 CME/CPD 0.55 Other activities 50.58 Total hours

Vega-Lite specification:
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Chart description: The graph shows that business is consistent and growth is slow with a .2 increase in 8 years.

Chart data: Year Agriculture Dec 31, 2007 0.0106 Dec 31, 2008 0.0108 Dec 31, 2009 0.011 Dec 31, 2010 0.0108 Dec 31, 2011 0.0114 Dec 31, 2012 0.011 Dec 31, 2013 0.0106 Dec 31, 2014 0.0111 Dec 31, 2015 0.0121 Dec 31, 2016 0.0121 Dec 31, 2017 0.0124

Vega-Lite specification:
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Chart description: It started to rise from 2012 to 2015. There was decline from 2008-2009. There was increase from 2009-2010. It again declined 2010- 2011 where it then seemed to plateau.

Chart data: Year Industry Dec 31, 2007 0.2901 Dec 31, 2008 0.2727 Dec 31, 2009 0.2844 Dec 31, 2010 0.2688 Dec 31, 2011 0.2675 Dec 31, 2012 0.2694 Dec 31, 2013 0.2769 Dec 31, 2014 0.2902 Dec 31, 2015 0.2898 Dec 31, 2016 0.2916 Dec 31, 2017 0.2907

Vega-Lite specification:
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Chart description: from 1990-2018, neonatal mortality was highest in southeastern asia, at 33/1,000 live births, and lowest in australia and new zealand, and europe, both at around 3/1,000 live births.

Chart data: 2010 geographic region 4 Northern America 3 Europe 18 Central Asia 33 Southern Asia 8 Eastern Asia 16 South-Eastern Asia 14 Western Asia 20 Northern Africa 22 Oceania excluding Australia and New Zealand 3 Australia and New Zealand

Vega-Lite specification:
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Chart description: It would seem that Southern asia has the highest neonatal death rate closely followed by Oceania, Nothern Africa and Central Asia.

Chart data: 2010 geographic region 4 Northern America 3 Europe 18 Central Asia 33 Southern Asia 8 Eastern Asia 16 South-Eastern Asia 14 Western Asia 20 Northern Africa 22 Oceania excluding Australia and New Zealand 3 Australia and New Zealand

Vega-Lite specification:
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