delen/vistext huggingface dataset:
Chart description: Between 2016-2018 there has been a sharp decline in registrations of Nissan Juke vehicles.

Chart data: Year Number of new registrations in thousands Dec 31, 2009 5.2 Dec 31, 2010 21.1 Dec 31, 2011 28.1 Dec 31, 2012 36.3 Dec 31, 2013 38.3 Dec 31, 2014 39.3 Dec 31, 2015 38.2 Dec 31, 2016 38.3 Dec 31, 2017 24 Dec 31, 2018 18.9

Vega-Lite specification:
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Chart description: Facebook is the most popular social media to indicate their brand presence, with not on social media or other being the least popular. It is by far more popular for brand presence to be indicated on any social media than not.

Chart data: Response Share of respondents Facebook 0.93 Twitter 0.78 YouTube 0.68 Instagram 0.6 LinkedIn 0.35 Pinterest 0.26 Google Plus 0.15 Tumblr 0.08 Vine 0.06 Other 0.02 Not on social media 0.02

Vega-Lite specification:
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Chart description: Cineplex recorded their highest net income level in 2015Cineplex income took a dramatic drop after 2015, where it stayed at a steady rate for the next 3 yearsCineplex recorded their lowest income in 2019.

Chart data: Year Income/loss in million Canadian dollars 2019 28.89 2018 76.96 2017 70.35 2016 77.99 2015 134.25 2014 76.27 2013 83.56 2012 120.48 2011 49.26 2010* 50.42

Vega-Lite specification:
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Chart description: mining, quarrying,oil and gas represent the highest GDP, followed closely by Public Administration. Arts Entertainment and Recreation represent the lowest.

Chart data: Share of GDP Response 0.1816 Mining, quarrying, and oil and gas extraction 0.1779 Public administration 0.1018 Real estate and rental and leasing 0.0902 Health care and social assistance 0.0795 Transportation and warehousing 0.0679 Construction 0.0642 Educational services 0.044 Retail trade 0.0305 Finance and insurance 0.0253 Accommodation and food services 0.0253 Professional, scientific and technical services 0.0252 Information and cultural industries 0.0209 Wholesale trade 0.016 Utilities 0.0158 Administrative and support, waste management and remediation services 0.0147 Other services (except public administration) 0.007 Management of companies and enterprises 0.0055 Agriculture, forestry, fishing and hunting 0.0045 Manufacturing 0.0023 Arts, entertainment and recreation

Vega-Lite specification:
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Chart description: The number of inhabitants gradually increase each year.

Chart data: Year Inhabitants in millions 2025* 177.21 2024* 175.4 2023* 173.6 2022* 171.82 2021* 170.06 2020* 168.31 2019* 166.59 2018* 164.88 2017* 163.19 2016* 161.51 2015* 159.86

Vega-Lite specification:
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Chart description: Argentina, Brazil, and Mexico and leading by a HUGE number of health centers and hospitals than any other country in Latin America.

Chart data: Number Country 8438 Argentina 8225 Brazil 4441 Mexico 812 Ecuador 751 Venezuela 584 Peru 379 Chile 273 Bolivia 164 Dominican Republic 113 Cuba 61 Panama

Vega-Lite specification:
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Chart description: Argentina, Brazil and Mexico seem to have significantly more health centers and hospitals than Bolivia, Chile, Dominican Republic, Ecuador, Panama, Peru and Venezuela in 2015.

Chart data: Number Country 8438 Argentina 8225 Brazil 4441 Mexico 812 Ecuador 751 Venezuela 584 Peru 379 Chile 273 Bolivia 164 Dominican Republic 113 Cuba 61 Panama

Vega-Lite specification:
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Chart description: Infant mortality in Grenada increased from 2008 to 2017.  In the last year of data, in 2018 the rate has stabilised but not declined.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 12.8 Dec 31, 2009 13 Dec 31, 2010 13.3 Dec 31, 2011 13.5 Dec 31, 2012 13.8 Dec 31, 2013 14 Dec 31, 2014 14.2 Dec 31, 2015 14.5 Dec 31, 2016 14.7 Dec 31, 2017 14.7 Dec 31, 2018 14.7

Vega-Lite specification:
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Chart description: The reporting periods are about quarterly but it varies.  youth unemployment seems pretty controlled and stable with a range of 0.12 to 0.20.  No interesting cycles or patterns appear - it all seems fairly random.

Chart data: Year Youth unemployment rate Dec 31, 1998 0.1382 Dec 31, 1999 0.1246 Dec 31, 2000 0.129 Dec 31, 2001 0.2009 Dec 31, 2002 0.1679 Dec 31, 2003 0.1524 Dec 31, 2004 0.145 Dec 31, 2005 0.1454 Dec 31, 2006 0.1488 Dec 31, 2007 0.1574 Dec 31, 2008 0.1676 Dec 31, 2009 0.1652 Dec 31, 2010 0.1646 Dec 31, 2011 0.1746 Dec 31, 2012 0.1339 Dec 31, 2013 0.1396 Dec 31, 2014 0.1502 Dec 31, 2015 0.1555 Dec 31, 2016 0.1483 Dec 31, 2017 0.1435 Dec 31, 2018 0.1435 Dec 31, 2019 0.1483

Vega-Lite specification:
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Chart description: Anna is the most popular name for females in Poland, in 2020, with a score of around 1,050. This is followed by the name Maria and then Katarzyna, both just slightly over 600. The least popular name is Julia (around 300), closely followed by Karolina, Marta, Danuta and Natalia.

Chart data: female given name Number of registered names in thousands Anna 1062.21 Maria 621.97 Katarzyna 609.05 Małgorzata 585.89 Agnieszka 552.34 Barbara 502.95 Ewa 487.4 Krystyna 446.86 Elżbieta 435.93 Magdalena 434.11 Joanna 407.58 Zofia 387.17 Aleksandra 380.01 Monika 360.9 Teresa 318.4 Danuta 295.56 Natalia 289.21 Karolina 287.62 Marta 283.34 Julia 282.94

Vega-Lite specification:
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Chart description: Anna was by far the most popular registered female name in Poland for the range of this chart. Julia was the least popular registered female name during the range of this chart. The top three registered names within the range of this chart were registered more than 600,000 times. The least popular registered names within the range of this chart were registered around 300,000 times each.

Chart data: female given name Number of registered names in thousands Anna 1062.21 Maria 621.97 Katarzyna 609.05 Małgorzata 585.89 Agnieszka 552.34 Barbara 502.95 Ewa 487.4 Krystyna 446.86 Elżbieta 435.93 Magdalena 434.11 Joanna 407.58 Zofia 387.17 Aleksandra 380.01 Monika 360.9 Teresa 318.4 Danuta 295.56 Natalia 289.21 Karolina 287.62 Marta 283.34 Julia 282.94

Vega-Lite specification:
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Chart description: Name Anna has been the most popular name, used in 1000 of 1000s. Names like Maria,Katarzyna more than 600, Agnieszka, Małgorzata not far behind.

Chart data: female given name Number of registered names in thousands Anna 1062.21 Maria 621.97 Katarzyna 609.05 Małgorzata 585.89 Agnieszka 552.34 Barbara 502.95 Ewa 487.4 Krystyna 446.86 Elżbieta 435.93 Magdalena 434.11 Joanna 407.58 Zofia 387.17 Aleksandra 380.01 Monika 360.9 Teresa 318.4 Danuta 295.56 Natalia 289.21 Karolina 287.62 Marta 283.34 Julia 282.94

Vega-Lite specification:
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Chart description: The most common registered Female name in Poland as of January 2020 was Anna with over 1,000,000 names registered. As of January 2020, the name Joanna, in Poland had been registered 400,000 times.

Chart data: female given name Number of registered names in thousands Anna 1062.21 Maria 621.97 Katarzyna 609.05 Małgorzata 585.89 Agnieszka 552.34 Barbara 502.95 Ewa 487.4 Krystyna 446.86 Elżbieta 435.93 Magdalena 434.11 Joanna 407.58 Zofia 387.17 Aleksandra 380.01 Monika 360.9 Teresa 318.4 Danuta 295.56 Natalia 289.21 Karolina 287.62 Marta 283.34 Julia 282.94

Vega-Lite specification:
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Chart description: Since 2012 the share in total exports has been generally increasing.

Chart data: Year Share in total exports Dec 31, 2008 0.462 Dec 31, 2009 0.465 Dec 31, 2010 0.464 Dec 31, 2011 0.39 Dec 31, 2012 0.415 Dec 31, 2013 0.435 Dec 31, 2014 0.445 Dec 31, 2015 0.48 Dec 31, 2016 0.471 Dec 31, 2017 0.5

Vega-Lite specification:
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Chart description: There has been an increase in CPI of electricity in 2020 since July. This has then remained stable at over 120 for the remainder of the time.

Chart data: Month Consumer price index (Dec 2016 = 100) Feb 28, 2019 109.9 Mar 31, 2019 110 Apr 30, 2019 110 May 31, 2019 110 Jun 30, 2019 121.3 Jul 31, 2019 122.7 Aug 31, 2019 122.7 Sep 30, 2019 122.8 Oct 31, 2019 122.8 Nov 30, 2019 122.8 Dec 31, 2019 122.8 Jan 31, 2020 122.8 Feb 29, 2020 122.7

Vega-Lite specification:
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Chart description: Generally speaking, the average revenue of arts and culture nonprofits in the US increased each year between 1999 and 2013. In 1999, revenue sat at around $22 billion. This then increased slightly to around $23 billion in 2000. Revenue then remained steady until 2004, when it rose to around $25 billion. It then continued to rise until 2008 when it experienced a local maxima of around $34 billion. It then fell slightly to around $32 billion between 2009 and 2011, before rising again to around $39 billion in 2013.

Chart data: Year Revenue in billion U.S. dollars Dec 31, 1998 22.38 Dec 31, 1999 23.98 Dec 31, 2000 24.14 Dec 31, 2001 23.87 Dec 31, 2002 23.9 Dec 31, 2003 26.85 Dec 31, 2004 27.98 Dec 31, 2005 31.52 Dec 31, 2006 34.46 Dec 31, 2007 34.97 Dec 31, 2008 31.95 Dec 31, 2009 33.82 Dec 31, 2010 32.17 Dec 31, 2011 36.4 Dec 31, 2012 39.38

Vega-Lite specification:
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Chart description: There is a clear trend of an increase in revenue year on a year with slight allowances for dips in revenue around 2009.

Chart data: Year Revenue in billion U.S. dollars Dec 31, 1998 22.38 Dec 31, 1999 23.98 Dec 31, 2000 24.14 Dec 31, 2001 23.87 Dec 31, 2002 23.9 Dec 31, 2003 26.85 Dec 31, 2004 27.98 Dec 31, 2005 31.52 Dec 31, 2006 34.46 Dec 31, 2007 34.97 Dec 31, 2008 31.95 Dec 31, 2009 33.82 Dec 31, 2010 32.17 Dec 31, 2011 36.4 Dec 31, 2012 39.38

Vega-Lite specification:
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Chart description: From 1999 to 2013 the revenue from arts and culture increased by approximately 17 million with 40 million being achieved in 2013.

Chart data: Year Revenue in billion U.S. dollars Dec 31, 1998 22.38 Dec 31, 1999 23.98 Dec 31, 2000 24.14 Dec 31, 2001 23.87 Dec 31, 2002 23.9 Dec 31, 2003 26.85 Dec 31, 2004 27.98 Dec 31, 2005 31.52 Dec 31, 2006 34.46 Dec 31, 2007 34.97 Dec 31, 2008 31.95 Dec 31, 2009 33.82 Dec 31, 2010 32.17 Dec 31, 2011 36.4 Dec 31, 2012 39.38

Vega-Lite specification:
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Chart description: Not much growth expected going forward to 2040 compared with most periods.

Chart data: Year Annual growth 2020-2040* ** 0.025 2019-2039* ** 0.026 2018-2038* ** 0.029 2016-2037* 0.028 2015-2036* 0.031 2020* ** 0.074 2019* ** 0.08 2018* 0.057 2017 0.01 2016 −0.019 2015 0.007 2014 0.008 2013 −0.008 2012 −0.034 2011 0.028

Vega-Lite specification:
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Chart description: The highest production value was in 2011. The lowest production value was in 2000. Production value overall has increased from 2000 to 2015.

Chart data: Year Production value in thousand U.S. dollars Dec 31, 1998 17704 Dec 31, 1999 14948 Dec 31, 2000 14841 Dec 31, 2001 21689 Dec 31, 2002 28129 Dec 31, 2003 29954 Dec 31, 2004 26249 Dec 31, 2005 24300 Dec 31, 2006 30242 Dec 31, 2007 32486 Dec 31, 2008 24337 Dec 31, 2009 35013 Dec 31, 2010 48920 Dec 31, 2011 41972 Dec 31, 2012 39209 Dec 31, 2013 38909 Dec 31, 2014 39205 Dec 31, 2015 37721 Dec 31, 2016 36424 Dec 31, 2017 42772

Vega-Lite specification:
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Chart description: Really sorry i can’t help with this one, as it seems to be either the fans are staying in to watch the game or in a bar.

Chart data: Year Home attendance in millions Dec 31, 2005 2.48 Dec 31, 2006 2.67 Dec 31, 2007 2.33 Dec 31, 2008 2.2 Dec 31, 2009 2.09 Dec 31, 2010 1.9 Dec 31, 2011 1.72 Dec 31, 2012 1.76 Dec 31, 2013 2.06 Dec 31, 2014 2.19 Dec 31, 2015 2.27 Dec 31, 2016 2.14 Dec 31, 2017 2.3 Dec 31, 2018 1.79

Vega-Lite specification:
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Chart description: Between 2006 and 2008, there was a slight increase in home attendance at Toronto Blue Jays. The seasonal total fell back by approximately 800,000 by 2010, followed by a relatively steady and strong climb, peaking in 2016. However, there was then a rapid decline to near-2010 levels by 2019.

Chart data: Year Home attendance in millions Dec 31, 2005 2.3 Dec 31, 2006 2.36 Dec 31, 2007 2.4 Dec 31, 2008 1.88 Dec 31, 2009 1.63 Dec 31, 2010 1.82 Dec 31, 2011 2.1 Dec 31, 2012 2.54 Dec 31, 2013 2.38 Dec 31, 2014 2.79 Dec 31, 2015 3.39 Dec 31, 2016 3.2 Dec 31, 2017 2.33 Dec 31, 2018 1.75

Vega-Lite specification:
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Chart description: Between 2000 and 2019, there is a sharp incline in the amount of capita personal income from 30,000 to 60,000 dollars.

Chart data: year Income in U.S. dollars '19 64758 '18 62209 '17 58437 '16 55802 '15 53870 '14 51502 '13 48296 '12 47739 '11 44676 '10 42676 '09 41958 '08 44558 '07 43130 '06 40359 '05 37688 '04 36636 '03 34543 '02 33478 '01 33280 '00 32909

Vega-Lite specification:
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Chart description: The number of employees of Electrolux has decreased over time. It was highest in 2001 at 20 k employees. It finished at a low of about 6k in 2019.

Chart data: Year Number of employees Dec 31, 2000 20074 Dec 31, 2001 18807 Dec 31, 2002 19761 Dec 31, 2003 19995 Dec 31, 2004 13360 Dec 31, 2005 10822 Dec 31, 2006 10648 Dec 31, 2007 10046 Dec 31, 2008 9020 Dec 31, 2009 8675 Dec 31, 2010 7914 Dec 31, 2011 7933 Dec 31, 2012 8754 Dec 31, 2013 9844 Dec 31, 2014 9701 Dec 31, 2015 9861 Dec 31, 2016 9576 Dec 31, 2017 8210 Dec 31, 2018 6502

Vega-Lite specification:
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Chart description: Across the chart there is a gradual increase across the period. There is no dip in the data, it is all steadily increasing.

Chart data: Year Proportion of urban population within the whole Dec 31, 2008 0.7812 Dec 31, 2009 0.7837 Dec 31, 2010 0.7862 Dec 31, 2011 0.7888 Dec 31, 2012 0.7914 Dec 31, 2013 0.7939 Dec 31, 2014 0.7966 Dec 31, 2015 0.7992 Dec 31, 2016 0.8018 Dec 31, 2017 0.8044 Dec 31, 2018 0.8071

Vega-Lite specification:
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Chart description: The amount of people in the sector and been on a steady rise through out  the years displayed.

Chart data: Year Number per million inhabitants Dec 31, 2008 846.56 Dec 31, 2009 884.59 Dec 31, 2010 957.57 Dec 31, 2011 1014.31 Dec 31, 2012 1066.21 Dec 31, 2013 1089.2 Dec 31, 2014 1150.82 Dec 31, 2015 1196.69 Dec 31, 2016 1224.78 Dec 31, 2017 1307.12

Vega-Lite specification:
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Chart description: Numbers have been growing consistently since 2010 at an even rate.

Chart data: Year Number per million inhabitants Dec 31, 2008 846.56 Dec 31, 2009 884.59 Dec 31, 2010 957.57 Dec 31, 2011 1014.31 Dec 31, 2012 1066.21 Dec 31, 2013 1089.2 Dec 31, 2014 1150.82 Dec 31, 2015 1196.69 Dec 31, 2016 1224.78 Dec 31, 2017 1307.12

Vega-Lite specification:
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Chart description: The number of researchers has continually risen year on year.

Chart data: Year Number per million inhabitants Dec 31, 2008 846.56 Dec 31, 2009 884.59 Dec 31, 2010 957.57 Dec 31, 2011 1014.31 Dec 31, 2012 1066.21 Dec 31, 2013 1089.2 Dec 31, 2014 1150.82 Dec 31, 2015 1196.69 Dec 31, 2016 1224.78 Dec 31, 2017 1307.12

Vega-Lite specification:
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Chart description: What LINE users find most convenient is its easiness to use chat. LINE users find that the app is inconvenient at finding out information such as the weather or the news.

Chart data: Response Percentage of LINE users Easy to use chat 0.688 Free voice calls 0.563 Can chat with lots of people 0.414 Can see if messages have been read 0.334 Stickers are good 0.304 Connects with phone's address book 0.176 Connects with other apps and games 0.092 High-quality voice calls 0.067 Home timeline is good 0.036 Information (news, weather) has volume, is fast 0.032 Other 0.011

Vega-Lite specification:
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Chart description: There as been a steady increase of funds from the start of the survey with 120 in 1997 then a slight dip half way through .But the average trend is up with a total of 200 by 2017.

Chart data: Year Number of employees in thousands Dec 31, 1996 114 Dec 31, 1998 149 Dec 31, 1999 154 Dec 31, 2004 146 Dec 31, 2006 168 Dec 31, 2008 157 Dec 31, 2010 159 Dec 31, 2012 166 Dec 31, 2014 174 Dec 31, 2016 178

Vega-Lite specification:
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Chart description: Norway has the greatest share of respondents. United Kingdom has the smallest number of respondents.

Chart data: Share of respondents Response 0.42 Norway 0.27 Sweden 0.2 United States 0.2 Poland 0.19 Finland 0.17 Denmark 0.14 Australia 0.12 Spain 0.11 Austria 0.11 Argentina 0.1 Germany 0.1 France 0.1 Portugal 0.08 Japan 0.07 United Kingdom

Vega-Lite specification:
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