delen/vistext huggingface dataset:
Chart description: Since 2010 gonorrhea has been on the increase in the United States, at a faster rate than the previous large outbreak from 1960-1980.

Chart data: Year Number of reported cases Dec 31, 1949 286746 Dec 31, 1959 258933 Dec 31, 1969 600072 Dec 31, 1979 1004029 Dec 31, 1989 690042 Dec 31, 1994 392651 Dec 31, 1999 363136 Dec 31, 2000 361705 Dec 31, 2001 351852 Dec 31, 2002 335104 Dec 31, 2003 330132 Dec 31, 2004 339593 Dec 31, 2005 358366 Dec 31, 2006 355991 Dec 31, 2007 336742 Dec 31, 2008 301174 Dec 31, 2009 309341 Dec 31, 2010 321849 Dec 31, 2011 334826 Dec 31, 2012 333004 Dec 31, 2013 350062 Dec 31, 2014 395216 Dec 31, 2015 468514 Dec 31, 2016 555608 Dec 31, 2017 583405

Vega-Lite specification:
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Chart description: youth unemployment in mongoldia has on average increased, from around 0.1 in 2000 to around 0.15 in 2020.

Chart data: Year Youth unemployment rate Dec 31, 1998 0.1014 Dec 31, 1999 0.1024 Dec 31, 2000 0.1006 Dec 31, 2001 0.1044 Dec 31, 2002 0.1137 Dec 31, 2003 0.1215 Dec 31, 2004 0.127 Dec 31, 2005 0.1182 Dec 31, 2006 0.1212 Dec 31, 2007 0.0963 Dec 31, 2008 0.0998 Dec 31, 2009 0.1438 Dec 31, 2010 0.1016 Dec 31, 2011 0.0828 Dec 31, 2012 0.1052 Dec 31, 2013 0.1186 Dec 31, 2014 0.1612 Dec 31, 2015 0.199 Dec 31, 2016 0.1732 Dec 31, 2017 0.1722 Dec 31, 2018 0.1631 Dec 31, 2019 0.16

Vega-Lite specification:
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Chart description: The highest cost was in 2006 at over $25. The cost then fell rapidly to $10 in 2007. Since then, the cost trended downwards, with only a couple of small increases in 2011 and 2013. The final recorded cost is just under $5.

Chart data: Year Out of pocket cost in U.S. dollars Dec 31, 2003 20.36 Dec 31, 2004 18.83 Dec 31, 2005 26.48 Dec 31, 2006 10.04 Dec 31, 2007 9.52 Dec 31, 2008 6.67 Dec 31, 2009 6.65 Dec 31, 2010 7.09 Dec 31, 2011 6.34 Dec 31, 2012 7.72 Dec 31, 2013 5.55 Dec 31, 2014 4.84 Dec 31, 2015 4.42 Dec 31, 2016 4.47

Vega-Lite specification:
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Chart description: Luke Appling is leading in the amount of hits in Chicago White Sox. It is also noticeable that Ray Schalk has the least hits. Overall, the hits are distributed unevenly between around 1400 and 2400.

Chart data: Number of hits Chicago White Sox all-time hits leaders 2749 Luke Appling 2470 Nellie Fox 2292 Paul Konerko 2136 Frank Thomas 2007 Eddie Collins 1773 Harold Baines 1608 Ozzie Guillen 1576 Luis Aparicio 1523 Minnie Minoso 1345 Ray Schalk

Vega-Lite specification:
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Chart description: Crude oil reserves in Venezuela went up from 2010 to 2014 however has stayed fairly static from 2014.

Chart data: Year Oil reserves in billion barrels Dec 31, 2008 99.38 Dec 31, 2009 99.38 Dec 31, 2010 211.17 Dec 31, 2011 211.17 Dec 31, 2012 297.57 Dec 31, 2013 297.74 Dec 31, 2014 298.35 Dec 31, 2015 299.95 Dec 31, 2016 300.88 Dec 31, 2017 302.25 Dec 31, 2018 302.81

Vega-Lite specification:
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Chart description: Between 2010 and 2012 the oil reserves more then doubled from 100 billion barrels to about 210 billion barrels. From 2012 to  2013 the barrels increased further to 300billion barrels in reserve. The reserve has remained static untill 2019 which is the last year recorded.

Chart data: Year Oil reserves in billion barrels Dec 31, 2008 99.38 Dec 31, 2009 99.38 Dec 31, 2010 211.17 Dec 31, 2011 211.17 Dec 31, 2012 297.57 Dec 31, 2013 297.74 Dec 31, 2014 298.35 Dec 31, 2015 299.95 Dec 31, 2016 300.88 Dec 31, 2017 302.25 Dec 31, 2018 302.81

Vega-Lite specification:
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Chart description: Saudi Arabia in 2018 had the highest GDP in the Mashriq region at just over 1,750 billion international dollars. Bahrain, Jordan, Lebanon and Yemen had the lowest GDP of all the Mashriq countries observed in 2018.

Chart data: Country GDP in billion international dollars Saudi Arabia 1862.15 Egypt 1295.43 United Arab Emirates * 722.02 Iraq * 669.91 Qatar 352.49 Kuwait * 301.17 Oman * 200.31 Sudan * 176.68 Jordan 92.74 Lebanon * 88.62 Bahrain 74.27 Yemen* 69.44

Vega-Lite specification:
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Chart description: Saudi Arabia has the highest GDP closely followed by Egypt. A majority of countries fall below 500 GDP.

Chart data: Country GDP in billion international dollars Saudi Arabia 1862.15 Egypt 1295.43 United Arab Emirates * 722.02 Iraq * 669.91 Qatar 352.49 Kuwait * 301.17 Oman * 200.31 Sudan * 176.68 Jordan 92.74 Lebanon * 88.62 Bahrain 74.27 Yemen* 69.44

Vega-Lite specification:
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Chart description: The length of holiday trips taken by Germans has fluctuated between the years 1997 and 2019, but the overall trend has been downwards.

Chart data: Year Length of travel in days Dec 31, 1996 16.1 Dec 31, 1997 15.9 Dec 31, 1998 15.7 Dec 31, 1999 14.8 Dec 31, 2000 14.4 Dec 31, 2001 14.8 Dec 31, 2002 13.4 Dec 31, 2003 14.1 Dec 31, 2004 13.3 Dec 31, 2005 13.3 Dec 31, 2006 13.2 Dec 31, 2007 12.2 Dec 31, 2008 13 Dec 31, 2009 12.5 Dec 31, 2010 12.4 Dec 31, 2011 12.3 Dec 31, 2012 12.1 Dec 31, 2013 12.1 Dec 31, 2014 12.6 Dec 31, 2015 12.9 Dec 31, 2016 13 Dec 31, 2017 12.7 Dec 31, 2018 12.3

Vega-Lite specification:
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Chart description: There has been a slow decline in the average length of holiday trips taken by Germans.

Chart data: Year Length of travel in days Dec 31, 1996 16.1 Dec 31, 1997 15.9 Dec 31, 1998 15.7 Dec 31, 1999 14.8 Dec 31, 2000 14.4 Dec 31, 2001 14.8 Dec 31, 2002 13.4 Dec 31, 2003 14.1 Dec 31, 2004 13.3 Dec 31, 2005 13.3 Dec 31, 2006 13.2 Dec 31, 2007 12.2 Dec 31, 2008 13 Dec 31, 2009 12.5 Dec 31, 2010 12.4 Dec 31, 2011 12.3 Dec 31, 2012 12.1 Dec 31, 2013 12.1 Dec 31, 2014 12.6 Dec 31, 2015 12.9 Dec 31, 2016 13 Dec 31, 2017 12.7 Dec 31, 2018 12.3

Vega-Lite specification:
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Chart description: The average length of holiday trips by German travellers has decreased on average over time between 1997 to 2019. In 1997, the average length of holiday trips was over 15 days, but in 2019 it had declined to 12.5 days.

Chart data: Year Length of travel in days Dec 31, 1996 16.1 Dec 31, 1997 15.9 Dec 31, 1998 15.7 Dec 31, 1999 14.8 Dec 31, 2000 14.4 Dec 31, 2001 14.8 Dec 31, 2002 13.4 Dec 31, 2003 14.1 Dec 31, 2004 13.3 Dec 31, 2005 13.3 Dec 31, 2006 13.2 Dec 31, 2007 12.2 Dec 31, 2008 13 Dec 31, 2009 12.5 Dec 31, 2010 12.4 Dec 31, 2011 12.3 Dec 31, 2012 12.1 Dec 31, 2013 12.1 Dec 31, 2014 12.6 Dec 31, 2015 12.9 Dec 31, 2016 13 Dec 31, 2017 12.7 Dec 31, 2018 12.3

Vega-Lite specification:
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Chart description: The value of the exports of pajamas from the U.S dropped more than half from 2006 to 2010, however it bounced back with some small fluctuations and reached at the end of 2018 at close to 60 million which is more than double.

Chart data: Year Export value in million U.S. dollars Dec 31, 2004 23.28 Dec 31, 2005 42.8 Dec 31, 2006 24.13 Dec 31, 2007 18.66 Dec 31, 2008 16.32 Dec 31, 2009 21.47 Dec 31, 2010 37.45 Dec 31, 2011 32.94 Dec 31, 2012 43.53 Dec 31, 2013 49.21 Dec 31, 2014 44.8 Dec 31, 2015 47.5 Dec 31, 2016 46.25 Dec 31, 2017 57.56

Vega-Lite specification:
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Chart description: The number of persons employed in home health care services has risen from just over 0.5 million in 2000 to just under 1.5 million in 2019. The chart shows an upward trend throughout this period, although the number employed in 2019 was below its peak of 1.5 million, which was reached in 2016.

Chart data: Year Number of persons in thousands Dec 31, 1999 548 Dec 31, 2000 582 Dec 31, 2001 636 Dec 31, 2002 741 Dec 31, 2003 750 Dec 31, 2004 795 Dec 31, 2005 928 Dec 31, 2006 959 Dec 31, 2007 881 Dec 31, 2008 967 Dec 31, 2009 1032 Dec 31, 2010 968 Dec 31, 2011 1040 Dec 31, 2012 1235 Dec 31, 2013 1316 Dec 31, 2014 1379 Dec 31, 2015 1495 Dec 31, 2016 1465 Dec 31, 2017 1472 Dec 31, 2018 1412

Vega-Lite specification:
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Chart description: In 2012 the most movies were released, 2005 the least number of movies were released.

Chart data: Year Number of releases Dec 31, 2002 528 Dec 31, 2003 549 Dec 31, 2004 507 Dec 31, 2005 594 Dec 31, 2006 611 Dec 31, 2007 638 Dec 31, 2008 557 Dec 31, 2009 563 Dec 31, 2010 603 Dec 31, 2011 677 Dec 31, 2012 659

Vega-Lite specification:
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Chart description: The number of exported U.S. sheep & lambskins is by far the highest for China (over 600,000), followed by Turkey (over 200,000).

Chart data: Number of sheep & lambskins Country 635279 China 116840 Turkey 55860 Russia 28310 Poland 18615 Mexico 13109 Brazil 11683 Germany* 2987 Canada 2800 United Kingdom 2685 Spain

Vega-Lite specification:
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Chart description: California is the US state with the highest number of US physicians, followed by New York. There is then a jump to the other states, with 7 having a relatively close number of US physicians. New Jersey has the lowest number of US physicians out of the 10 US states depicted.

Chart data: Number of specialist physicians State 59418 California 50765 New York 34548 Texas 30012 Florida 27444 Pennsylvania 23228 Ohio 21782 Illinois 21139 Massachusetts 20921 Michigan 15984 New Jersey

Vega-Lite specification:
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Chart description: The political Parties category has been voted with most corruption by the public perception. Military being the least corrupted category.

Chart data: Score (1=not corrupt; 5=extremely corrupt) U\.S\. perception 4.1 pt; 5=extremely corrupt): 4.1; U.S. perception: Political parties 3.7 pt; 5=extremely corrupt): 3.7; U.S. perception: Parliament/legislature 3.7 pt; 5=extremely corrupt): 3.7; U.S. perception: Media 3.6 pt; 5=extremely corrupt): 3.6; U.S. perception: Business/private sector 3.6 pt; 5=extremely corrupt): 3.6; U.S. perception: Public officials/civil servants 3.3 pt; 5=extremely corrupt): 3.3; U.S. perception: Police 3.3 pt; 5=extremely corrupt): 3.3; U.S. perception: Medical and health services 3.3 pt; 5=extremely corrupt): 3.3; U.S. perception: Judiciary 3.1 pt; 5=extremely corrupt): 3.1; U.S. perception: Education system 3.1 pt; 5=extremely corrupt): 3.1; U.S. perception: Religious bodies 3 pt; 5=extremely corrupt): 3; U.S. perception: NGOs 2.9 pt; 5=extremely corrupt): 2.9; U.S. perception: Military

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Chart description: The chart shows a decline in unemployment benefits from about 100,000 claimants in 2000 showing a modest decline until 2007 the numbers increase to approximately 150,000 it  remained around this level until 2013 when the numbers declined to about 25,000 in 2019.

Chart data: Year Claimants in thousands Dec 31, 1999 1037 Dec 31, 2000 909 Dec 31, 2001 877 Dec 31, 2002 886 Dec 31, 2003 777 Dec 31, 2004 801 Dec 31, 2005 896 Dec 31, 2006 807 Dec 31, 2007 788 Dec 31, 2008 1443 Dec 31, 2009 1355 Dec 31, 2010 1404 Dec 31, 2011 1484 Dec 31, 2012 1372 Dec 31, 2013 974 Dec 31, 2014 683 Dec 31, 2015 536 Dec 31, 2016 460 Dec 31, 2017 440 Dec 31, 2018 251

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Chart description: Minor illness seem to be the most common causes of work absences although musculoskeletal illness come a close second.

Chart data: Proportion of sickness absences reason 0.3 Minor illnesses 0.2 Musculoskeletal problems** 0.14 Other*** 0.08 Stress, depression, anxiety 0.07 Gastrointestinal problems 0.04 Eye/ear/nose/mouth/dental problems 0.04 Respiratory conditions 0.03 Heart, blood pressure, circulation problems 0.03 Genito-urinary problems 0.02 Headaches and migraines 0.01 Serious mental health problems 0.04 Prefers not to give details

Vega-Lite specification:
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Chart description: The data shows that since 2013, the main sources of sickness absences have been due to minor illnesses, muscoskeleton problems and problems classed as 'other.

Chart data: Proportion of sickness absences reason 0.3 Minor illnesses 0.2 Musculoskeletal problems** 0.14 Other*** 0.08 Stress, depression, anxiety 0.07 Gastrointestinal problems 0.04 Eye/ear/nose/mouth/dental problems 0.04 Respiratory conditions 0.03 Heart, blood pressure, circulation problems 0.03 Genito-urinary problems 0.02 Headaches and migraines 0.01 Serious mental health problems 0.04 Prefers not to give details

Vega-Lite specification:
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Chart description: Frontier has grown it’s number of subscribers from under 1000 thousand to over 3000 thousand in the 11 year period. The number of subscribers has fallen for the last three years in a row.

Chart data: Year Number of subscribers in thousands 2019 3500 2018 3735 2017 3938 2016** 4271 2015 2444 2014 2352.5 2013 1836 2012 1757 2011 1735 2010 1697 2009 636

Vega-Lite specification:
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Chart description: The most common reason for taking a break was to explore another job. Injuries and getting married were the least popular reasons.

Chart data: Response Share of respondents To pursue another job 0.31 To attend school 0.15 For better pay and benefits 0.14 Burned out/needed a break 0.07 Had a baby 0.06 Wanted different hours 0.05 Moved/relocated 0.04 Wanted lifestyle change 0.04 To enter military service 0.03 Family issues 0.03 Work-related issue 0.02 Graduated college 0.02 Lost job 0.02 Got married 0.01 Injury 0.01

Vega-Lite specification:
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Chart description: The main reason restaurant employees took a break from the industry in 2013 in the USA was to pursue another job. An equal amount of employees took a break due to injury or getting married.

Chart data: Response Share of respondents To pursue another job 0.31 To attend school 0.15 For better pay and benefits 0.14 Burned out/needed a break 0.07 Had a baby 0.06 Wanted different hours 0.05 Moved/relocated 0.04 Wanted lifestyle change 0.04 To enter military service 0.03 Family issues 0.03 Work-related issue 0.02 Graduated college 0.02 Lost job 0.02 Got married 0.01 Injury 0.01

Vega-Lite specification:
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Chart description: The graph shows that most people left the industry to better themselves. Either returning to education, getting a new job, or finding a job with better pay.

Chart data: Response Share of respondents To pursue another job 0.31 To attend school 0.15 For better pay and benefits 0.14 Burned out/needed a break 0.07 Had a baby 0.06 Wanted different hours 0.05 Moved/relocated 0.04 Wanted lifestyle change 0.04 To enter military service 0.03 Family issues 0.03 Work-related issue 0.02 Graduated college 0.02 Lost job 0.02 Got married 0.01 Injury 0.01

Vega-Lite specification:
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Chart description: The y-axis begins at 0 and increases in sums of 200 up until 1000. The x-axis begins in 1950 and progresses in 10 year increments on the scale. There is a rise in consumption of coal from around 100 million short tons in 1950 to over 1000 in 2005. There is an acceleration in the rise in coal consumption within the time period of 1950 to 2005. After 2005, the general trend is that coal consumption decreases, however, consumption fluctuates 3 times until 2015. After 2015 there is a sharp decline in coal consumption ending at until 600 short million tons.

Chart data: Year Consumption in million short tons Dec 31, 1949 91.87 Dec 31, 1959 176.69 Dec 31, 1969 320.18 Dec 31, 1979 569.27 Dec 31, 1989 782.57 Dec 31, 1994 850.23 Dec 31, 1999 985.82 Dec 31, 2004 1037.49 Dec 31, 2005 1026.64 Dec 31, 2006 1045.14 Dec 31, 2007 1040.58 Dec 31, 2008 933.63 Dec 31, 2009 975.05 Dec 31, 2010 932.48 Dec 31, 2011 823.55 Dec 31, 2012 857.96 Dec 31, 2013 851.6 Dec 31, 2014 738.44 Dec 31, 2015 678.55 Dec 31, 2016 664.99 Dec 31, 2017 637.22 Dec 31, 2018 539.42

Vega-Lite specification:
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Chart description: Internet is more popular year on year in Iceland and is growing.

Chart data: Share of households Response 0.99 2018 0.98 2017 0.96 2014 0.96 2013 0.95 2012 0.93 2011 0.92 2010 0.9 2009 0.88 2008 0.84 2007 0.83 2006 0.84 2005

Vega-Lite specification:
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Chart description: Share of households with internet access in Iceland from 2005 to 2018 was steadily increasing. There was no increase between 2013-2014. The highest number was noticed in 2018 while the lowest in 2005. The most rapid increase was noticed in 2008. The number of share was never below 0.8.

Chart data: Share of households Response 0.99 2018 0.98 2017 0.96 2014 0.96 2013 0.95 2012 0.93 2011 0.92 2010 0.9 2009 0.88 2008 0.84 2007 0.83 2006 0.84 2005

Vega-Lite specification:
{"config": {"background": "#333", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#1b9e77", "#d95f02", "#7570b3", "#e7298a", "#66a61e", "#e6ab02", "#a6761d", "#666666"]}}, "data": {"url": "data/24867.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#7570b3"}, "x": {"type": "quantitative", "axis": {"labelAngle": -90, "title": "Share of households"}, "field": "Share of households"}, "y": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Response"}}, "title": ["Share of households with internet access", "in Iceland from 2005 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}