delen/vistext huggingface dataset:
Chart description: burger king consuption isgreatest int eh biggest coutries e.g austrialia.

Chart data: Country 2013 Australi  371; Country: Australia Chin  190; Country: China South Kore  164; Country: South Korea New Zealan  86; Country: New Zealand Japa  82; Country: Japan Malaysi  56; Country: Malaysia Indonesi  48; Country: Indonesia Singapor  43; Country: Singapore Philippine  36; Country: Philippines Taiwa  36; Country: Taiwan Thailan  34; Country: Thailand Othe  85; Country: Other

Vega-Lite specification:
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Chart description: And now for some good news, the suicide rate in Finland for the age group of 40-64 years old has decreased steadily in the last 11 years. This rate used to fall at 520 deaths per year in 2008, and in only 8 years it has fallen to just over 300. Of course there are lots to do but this decline is positive and a step in the right direction.

Chart data: Year 40-64 years Dec 31, 2007 524 Dec 31, 2008 517 Dec 31, 2009 442 Dec 31, 2010 435 Dec 31, 2011 418 Dec 31, 2012 391 Dec 31, 2013 341 Dec 31, 2014 328 Dec 31, 2015 324 Dec 31, 2016 321 Dec 31, 2017 304

Vega-Lite specification:
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Chart description: The total number of suicides in Finland between 2008 and 2018 in the 40-64 age bracket has fallen consistently. The number of suicides each year has not fallen below 300.   The sharpest decrease in this age group happened between 2008 and 2010.

Chart data: Year 40-64 years Dec 31, 2007 524 Dec 31, 2008 517 Dec 31, 2009 442 Dec 31, 2010 435 Dec 31, 2011 418 Dec 31, 2012 391 Dec 31, 2013 341 Dec 31, 2014 328 Dec 31, 2015 324 Dec 31, 2016 321 Dec 31, 2017 304

Vega-Lite specification:
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Chart description: There has been a steady increase in the number of schools who offer soccer athletics programs for girls between 2009 and 2019.

Chart data: Soccer Year 10901 2009/10 11047 2010/11 11127 2011/12 11351 2012/13 11354 2013/14 11502 2014/15 11676 2015/16 11823 2016/17 12007 2017/18 12107 2018/19

Vega-Lite specification:
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Chart description: The bar chart shows that one word searches are by far the most popular, but that after that, the next most popular are searches of 5+ words. Searches of 2,3,or 4 words ranks equally lowest.

Chart data: AOL search query size 0.0002 Total 0.0003 One word 0.0001 Two words 0.0001 Three words 0.0001 Four words 0.0002 Five words 0.0002 Six words 0.0002 Seven words 0.0002 Eight words 0.0002 Nine words 0.0002 Ten or more words

Vega-Lite specification:
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Chart description: The population has risen faster over the last 9 years.

Chart data: Year 65 years + Dec 31, 1989 63.68 Dec 31, 1994 75.1 Dec 31, 1999 88.21 Dec 31, 2004 100.55 Dec 31, 2009 118.94 Dec 31, 2010 122.88 Dec 31, 2011 127.14 Dec 31, 2012 131.61 Dec 31, 2013 137.55 Dec 31, 2014 143.86 Dec 31, 2015 150.03 Dec 31, 2016 158.31 Dec 31, 2017 166.58 Dec 31, 2018 176.03

Vega-Lite specification:
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Chart description: According to the information above Myanmar has experienced and ageing population between 2009 - 2019.

Chart data: Year 65 years and older Dec 31, 2008 0.0478 Dec 31, 2009 0.0481 Dec 31, 2010 0.0486 Dec 31, 2011 0.0491 Dec 31, 2012 0.0497 Dec 31, 2013 0.0505 Dec 31, 2014 0.0517 Dec 31, 2015 0.0535 Dec 31, 2016 0.0556 Dec 31, 2017 0.0578 Dec 31, 2018 0.0601

Vega-Lite specification:
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Chart description: It is not clear what the unit of measurement is on the y axis, but assuming that it is some kind of frequency measure, one can infer that the number of people aged 65 and over is increasing steadily over the decade depicted here, and looks set to continue rising. Without knowing more about the measurement unit, it is not possible to infer that the number of people in this age group is actually low or high.

Chart data: Year 65 years and older Dec 31, 2008 0.0478 Dec 31, 2009 0.0481 Dec 31, 2010 0.0486 Dec 31, 2011 0.0491 Dec 31, 2012 0.0497 Dec 31, 2013 0.0505 Dec 31, 2014 0.0517 Dec 31, 2015 0.0535 Dec 31, 2016 0.0556 Dec 31, 2017 0.0578 Dec 31, 2018 0.0601

Vega-Lite specification:
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Chart description: 2018 had the highest 65 years and older value. 2009had the lowest 65 years and older value. The 65 years and older value increased each year from 2009 to 2018.

Chart data: Year 65 years and older Dec 31, 2008 0.0478 Dec 31, 2009 0.0481 Dec 31, 2010 0.0486 Dec 31, 2011 0.0491 Dec 31, 2012 0.0497 Dec 31, 2013 0.0505 Dec 31, 2014 0.0517 Dec 31, 2015 0.0535 Dec 31, 2016 0.0556 Dec 31, 2017 0.0578 Dec 31, 2018 0.0601

Vega-Lite specification:
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Chart description: The graph shows that there is not much change in services throughout the years. There is a slight increase from around 0.64 to around 0.67 from 2010 to 2018.

Chart data: Year Services Dec 31, 2009 0.6387 Dec 31, 2010 0.6471 Dec 31, 2011 0.6504 Dec 31, 2012 0.6351 Dec 31, 2013 0.6422 Dec 31, 2014 0.6661 Dec 31, 2015 0.6625 Dec 31, 2016 0.6696 Dec 31, 2017 0.6703 Dec 31, 2018 0.673 Dec 31, 2019 0.6749

Vega-Lite specification:
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Chart description: 2012 was the year that distribution figures peaked and have been on a downward slope since then.

Chart data: Year Industry Dec 31, 2008 0.278 Dec 31, 2009 0.287 Dec 31, 2010 0.295 Dec 31, 2011 0.303 Dec 31, 2012 0.301 Dec 31, 2013 0.299 Dec 31, 2014 0.293 Dec 31, 2015 0.288 Dec 31, 2016 0.281 Dec 31, 2017 0.276 Dec 31, 2018 0.275

Vega-Lite specification:
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Chart description: In 2002 the populations marital status is reported to have been roughly 23,000,000. From 2002 to 2010 the populations marital status stayed rather flat with very little change. From 2011 to 2017 a small uptrend was seen and brought marital status of the population close to 25,000,000. In about 2017 a peak was found on the chart showing marital status leveling out again and going flat with even a very slight decline going into 2019 at roughly 24,000,000.

Chart data: Year Married Dec 31, 2001 23088100 Dec 31, 2002 23046141 Dec 31, 2003 22999978 Dec 31, 2004 23155488 Dec 31, 2005 23066569 Dec 31, 2006 23120897 Dec 31, 2007 23105056 Dec 31, 2008 23193525 Dec 31, 2009 23285841 Dec 31, 2010 23123923 Dec 31, 2011 23351825 Dec 31, 2012 23516299 Dec 31, 2013 23838097 Dec 31, 2014 23733162 Dec 31, 2015 24062507 Dec 31, 2016 24247548 Dec 31, 2017 24116565 Dec 31, 2018 24118838

Vega-Lite specification:
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Chart description: The marital status of the population in England has very gradually increased from 2002 to 2019. There has not been a great change in marital status over this period. The lowest reading is just below 23 million. The highest reading is about 24 million.

Chart data: Year Married Dec 31, 2001 23088100 Dec 31, 2002 23046141 Dec 31, 2003 22999978 Dec 31, 2004 23155488 Dec 31, 2005 23066569 Dec 31, 2006 23120897 Dec 31, 2007 23105056 Dec 31, 2008 23193525 Dec 31, 2009 23285841 Dec 31, 2010 23123923 Dec 31, 2011 23351825 Dec 31, 2012 23516299 Dec 31, 2013 23838097 Dec 31, 2014 23733162 Dec 31, 2015 24062507 Dec 31, 2016 24247548 Dec 31, 2017 24116565 Dec 31, 2018 24118838

Vega-Lite specification:
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Chart description: The graph shows that American GDP has declined in growth from 2000 to 2017. The spike between 2001 and 2006 is likely a cause of slow growth before falling sharply due to an Economic Crisis at that time, with the growth being mostly flat for another 6 years before dipping once more in 2015.

Chart data: Year Industry Dec 31, 1999 0.2245 Dec 31, 2000 0.2147 Dec 31, 2001 0.2064 Dec 31, 2002 0.2074 Dec 31, 2003 0.2096 Dec 31, 2004 0.2122 Dec 31, 2005 0.2159 Dec 31, 2006 0.2145 Dec 31, 2007 0.2086 Dec 31, 2008 0.1932 Dec 31, 2009 0.1936 Dec 31, 2010 0.1942 Dec 31, 2011 0.1916 Dec 31, 2012 0.1926 Dec 31, 2013 0.193 Dec 31, 2014 0.1852 Dec 31, 2015 0.1795 Dec 31, 2016 0.1821

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Chart description: The world wide revenue for Johnson’s and Johnson’s was at its highest in 2018.

Chart data: Year Cardiovascular/Metabolism/Other Dec 31, 2011 4.94 Dec 31, 2012 4.95 Dec 31, 2013 5.58 Dec 31, 2014 6.42 Dec 31, 2015 6.4 Dec 31, 2016 6.29 Dec 31, 2017 7.19 Dec 31, 2018 7.27 Dec 31, 2019 7.1 Dec 31, 2020 7.09 Dec 31, 2021 6.93 Dec 31, 2022 6.8 Dec 31, 2023 6.79

Vega-Lite specification:
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Chart description: N East Asia had the highest contribution at over 30 millions. South Asia had a contribution of around 30 million. However the other countries fell far behind with the others having contributions of under 15 million. Central Asia had the worst contribution at around 1m, Parts of Asia therefor had the best and the worst contribution of travel and tourism to employment.

Chart data: 2017 geographic region 30.49 North East Asia 29.76 South Asia 14.46 South East Asia 11.89 European Union 9.94 North America 6.79 Sub Saharan Africa 5.71 Latin America 2.54 Other Europe 2.51 North Africa 2.34 Middle East 0.89 Oceania 0.76 Caribbean 0.38 Central Asia

Vega-Lite specification:
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Chart description: The chart shows that North East Asia and South Asia have similar contributions to employment from tourism, both being recorded at around 30 million people. The European Union, South East Asia and North America benefit by around 15 million persons employed in this area. The Caribbean, Oceania, Central Asia, Middle East all show the lowest number of people employed in tourism, all having less than 3 million employled. Sub Saharan Africa and Latin American both have around 7.5 million employees in tourism industries, according to the chart.

Chart data: 2017 geographic region 30.49 North East Asia 29.76 South Asia 14.46 South East Asia 11.89 European Union 9.94 North America 6.79 Sub Saharan Africa 5.71 Latin America 2.54 Other Europe 2.51 North Africa 2.34 Middle East 0.89 Oceania 0.76 Caribbean 0.38 Central Asia

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Chart description: Direct contribution of travel and tourism to employment worldwide from 2016 to 2017 is very strong for Asian countries, especially North East Asia and South Asia.

Chart data: 2017 geographic region 30.49 North East Asia 29.76 South Asia 14.46 South East Asia 11.89 European Union 9.94 North America 6.79 Sub Saharan Africa 5.71 Latin America 2.54 Other Europe 2.51 North Africa 2.34 Middle East 0.89 Oceania 0.76 Caribbean 0.38 Central Asia

Vega-Lite specification:
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Chart description: With the highest rate of 0.16 Depuy orthopedics + spine has the highest revenue from 2012 to 2021 out of all of the sub- category. Closely behind them is surgical devices. The lowest revenue is baby care with only 0.03. 4 sub - categories have roughly the same revenue, these are Anti- infectives, Central nervous systems, neutrogena - aveena+ other medical and OTC drugs and nutritionals with 0.06 of revenues.

Chart data: Sub-category 2019 DePuy orthopedics & spine  0.163; Sub-category: DePuy orthopedics & spine* Surgical devices  0.156; Sub-category: Surgical devices* Stents, catheters & other medical devices  0.115; Sub-category: Stents, catheters & other medical devices* Procrit, Velcade & other*  0.121; Sub-category: Procrit, Velcade & other** Remicade & immunology*  0.11; Sub-category: Remicade & immunology** Central nervous system*  0.0601; Sub-category: Central nervous system** Anti-infectives*  0.0603; Sub-category: Anti-infectives** OTC drugs & nutritionals**  0.0587; Sub-category: OTC drugs & nutritionals*** Women's health, wound & oral care**  0.0685; Sub-category: Women's health, wound & oral care*** Neutrogena, Aveena & other skin care**  0.0559; Sub-category: Neutrogena, Aveena & other skin care*** Baby care**  0.0315; Sub-category: Baby care***

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Chart description: Since 1950, the crude birth rate in North America has been dropping each year. It has almost halved compared to the rate in 1950 to 2020.

Chart data: North America Year 11.8 2015-2020 12.4 2010-2015 13.5 2005-2010 13.7 2000-2005 14 1995-2000 15.3 1990-1995 15.5 1985-1990 15.3 1980-1985 14.8 1975-1980 15.6 1970-1975 17.7 1965-1970 21.4 1960-1965 24.1 1955-1960 24.4 1950-1955

Vega-Lite specification:
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Chart description: The crude birth rate has consistently dropped each year between 1950 to 2020, except for the years between 1980 to 1990.

Chart data: North America Year 11.8 2015-2020 12.4 2010-2015 13.5 2005-2010 13.7 2000-2005 14 1995-2000 15.3 1990-1995 15.5 1985-1990 15.3 1980-1985 14.8 1975-1980 15.6 1970-1975 17.7 1965-1970 21.4 1960-1965 24.1 1955-1960 24.4 1950-1955

Vega-Lite specification:
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Chart description: The birth rate in North America has been slowly declining since 1950.

Chart data: North America Year 11.8 2015-2020 12.4 2010-2015 13.5 2005-2010 13.7 2000-2005 14 1995-2000 15.3 1990-1995 15.5 1985-1990 15.3 1980-1985 14.8 1975-1980 15.6 1970-1975 17.7 1965-1970 21.4 1960-1965 24.1 1955-1960 24.4 1950-1955

Vega-Lite specification:
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Chart description: The weekly flight frequency in the uk was negative for all of 2010, with the worst period being between April and July when it was greater than -0.8.

Chart data: Week starting on United Kingdom Jan 05, 2020 −0.018 Jan 12, 2020 −0.041 Jan 19, 2020 −0.042 Jan 26, 2020 −0.051 Feb 02, 2020 −0.043 Feb 09, 2020 −0.04 Feb 16, 2020 −0.03 Feb 23, 2020 −0.019 Mar 01, 2020 −0.027 Mar 08, 2020 −0.155 Mar 15, 2020 −0.193 Mar 22, 2020 −0.535 Mar 29, 2020 −0.756 Apr 05, 2020 −0.907 Apr 12, 2020 −0.92 Apr 19, 2020 −0.932 Apr 26, 2020 −0.935 May 03, 2020 −0.925 May 10, 2020 −0.923 May 17, 2020 −0.939 May 24, 2020 −0.946 May 31, 2020 −0.936 Jun 07, 2020 −0.933 Jun 14, 2020 −0.875 Jun 21, 2020 −0.858 Jun 28, 2020 −0.853 Jul 05, 2020 −0.831 Jul 12, 2020 −0.76 Jul 19, 2020 −0.754 Jul 26, 2020 −0.721 Aug 02, 2020 −0.661 Aug 09, 2020 −0.649 Aug 16, 2020 −0.641 Aug 23, 2020 −0.632 Aug 29, 2020 −0.648 Sep 06, 2020 −0.659 Sep 13, 2020 −0.656 Sep 20, 2020 −0.65 Sep 27, 2020 −0.668 Oct 04, 2020 −0.665 Oct 11, 2020 −0.695 Oct 18, 2020 −0.709 Oct 25, 2020 −0.681 Nov 01, 2020 −0.721 Nov 08, 2020 −0.816 Nov 15, 2020 −0.867 Nov 22, 2020 −0.874 Nov 29, 2020 −0.849 Dec 06, 2020 −0.809 Dec 13, 2020 −0.735 Dec 21, 2020 −0.68

Vega-Lite specification:
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Chart description: Before April 2020 there was an extremely low proportion of flights in the UK. Between April and July there was a spike in flight numbers, significantly increasing until June before decreasing again and dropping until another smaller spike in mid-October.

Chart data: Week starting on United Kingdom Jan 05, 2020 −0.018 Jan 12, 2020 −0.041 Jan 19, 2020 −0.042 Jan 26, 2020 −0.051 Feb 02, 2020 −0.043 Feb 09, 2020 −0.04 Feb 16, 2020 −0.03 Feb 23, 2020 −0.019 Mar 01, 2020 −0.027 Mar 08, 2020 −0.155 Mar 15, 2020 −0.193 Mar 22, 2020 −0.535 Mar 29, 2020 −0.756 Apr 05, 2020 −0.907 Apr 12, 2020 −0.92 Apr 19, 2020 −0.932 Apr 26, 2020 −0.935 May 03, 2020 −0.925 May 10, 2020 −0.923 May 17, 2020 −0.939 May 24, 2020 −0.946 May 31, 2020 −0.936 Jun 07, 2020 −0.933 Jun 14, 2020 −0.875 Jun 21, 2020 −0.858 Jun 28, 2020 −0.853 Jul 05, 2020 −0.831 Jul 12, 2020 −0.76 Jul 19, 2020 −0.754 Jul 26, 2020 −0.721 Aug 02, 2020 −0.661 Aug 09, 2020 −0.649 Aug 16, 2020 −0.641 Aug 23, 2020 −0.632 Aug 29, 2020 −0.648 Sep 06, 2020 −0.659 Sep 13, 2020 −0.656 Sep 20, 2020 −0.65 Sep 27, 2020 −0.668 Oct 04, 2020 −0.665 Oct 11, 2020 −0.695 Oct 18, 2020 −0.709 Oct 25, 2020 −0.681 Nov 01, 2020 −0.721 Nov 08, 2020 −0.816 Nov 15, 2020 −0.867 Nov 22, 2020 −0.874 Nov 29, 2020 −0.849 Dec 06, 2020 −0.809 Dec 13, 2020 −0.735 Dec 21, 2020 −0.68

Vega-Lite specification:
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Chart description: The level of industry increases then decreases before increasing again.

Chart data: Year Industry Dec 31, 2009 0.6607 Dec 31, 2010 0.7271 Dec 31, 2011 0.7481 Dec 31, 2012 0.731 Dec 31, 2013 0.7055 Dec 31, 2014 0.5594 Dec 31, 2015 0.5214 Dec 31, 2016 0.5562 Dec 31, 2017 0.5959 Dec 31, 2018 0

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Chart description: This bar chart provides information on the amount of purchases made in store at physical stores during the month of March 2019. It is broken down into types of purchases, food, books, apparel and pet supplies included.

Chart data: Physical store Response 0.34 Books 0.65 Clothing and apparel 0.76 Consumer packaged goods 0.83 Food/grocery 0.34 Furniture 0.62 Household goods 0.25 Luxury goods 0.51 Office supplies 0.5 Pet supplies 0.35 Sporting goods 0.5 Tools and home improvement 0.69 Health and beauty

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