delen/vistext huggingface dataset:
Chart description: Since 1939 unadusted wages in the USA have increased from 0.2cent to $7.6. There was a steady increase between 1939-1980, since then a sharp increase between 1980-2000 and an even sharper increase since 2000. There has been a platau since 2000-2019.

Chart data: Year Unadusted wage (real U.S. dollars) Dec 31, 1937 0.25 Dec 31, 1939 0.3 Dec 31, 1944 0.4 Dec 31, 1949 0.75 Dec 31, 1954 0.75 Dec 31, 1959 1 Dec 31, 1964 1.25 Dec 31, 1969 1.6 Dec 31, 1974 2.1 Dec 31, 1979 3.1 Dec 31, 1984 3.35 Dec 31, 1989 3.8 Dec 31, 1994 4.25 Dec 31, 1999 5.15 Dec 31, 2004 5.15 Dec 31, 2009 7.25 Dec 31, 2014 7.25 Dec 31, 2017 7.25 Dec 31, 2018 7.25

Vega-Lite specification:
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Chart description: Medication seems to be the least popular way to order online whilst clothing is the most popular alongside travel/accommodation.

Chart data: 25-45 years Age 0.488 Food products, cosmetics, cleaning products 0.115 Medication 0.739 Clothes and sports articles 0.173 Digital study or teaching material 0.252 Film, music 0.4 Books, magazines, newspapers 0.34 Telecommunication services 0.415 Soft-/Hardware and electrical appliances 0.594 Household goods and appliances 0.702 Travel and accommodation 0.519 Financial products or services*** 0.649 Tickets for events 0.513 Other purchases

Vega-Lite specification:
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Chart description: Travel and accommodation is the most popular goods or services bought over the last 12 months between the ages of 45-65.

Chart data: 45-65 years Age 0.313 Food products, cosmetics, cleaning products 0.109 Medication 0.55 Clothes and sports articles 0.097 Digital study or teaching material 0.167 Film, music 0.34 Books, magazines, newspapers 0.24 Telecommunication services 0.271 Soft-/Hardware and electrical appliances 0.093 Household goods and appliances 0.581 Travel and accommodation 0.371 Financial products or services*** 0.476 Tickets for events 0.304 Other purchases

Vega-Lite specification:
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Chart description: The data provided shows that Syria has incurred the most attacks in 2013 and also includes more casualties and fatalities overall throughout the year.

Chart data: The 20 worst terrorist attacks Fatalities Nigeria (September 17) 142 Syria (July 22) 123 Pakistan (January 10) 107 Pakistan (August 16) 91 Pakistan (September 22) 87 Afghanistan (August 2) 82 Afghanistan (August 18) 82 Kenya (September 21) 72 Syria (June 11) 70 Nigeria (December 20) 70 Algeria (January 16) 69 Yemen (December 5) 68 Syria (February 21) 62 Syria (February 6) 61 Central African Republic (December 5) 54 Afghanistan (April 3) 53 Syria (March 21) 50 Iraq (April 24) 46 Nigeria (July 6) 46 Pakistan (March 3) 45

Vega-Lite specification:
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Chart description: The country with the worst terrorist attack in 2013 (measured by the number of fatalities and injuries) was Nigeria.

Chart data: The 20 worst terrorist attacks Fatalities Nigeria (September 17) 142 Syria (July 22) 123 Pakistan (January 10) 107 Pakistan (August 16) 91 Pakistan (September 22) 87 Afghanistan (August 2) 82 Afghanistan (August 18) 82 Kenya (September 21) 72 Syria (June 11) 70 Nigeria (December 20) 70 Algeria (January 16) 69 Yemen (December 5) 68 Syria (February 21) 62 Syria (February 6) 61 Central African Republic (December 5) 54 Afghanistan (April 3) 53 Syria (March 21) 50 Iraq (April 24) 46 Nigeria (July 6) 46 Pakistan (March 3) 45

Vega-Lite specification:
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Chart description: There are multiple high fatality terrorist attacks happening in the same countries (Nigeria, Pakistan, Syria) within 2013.

Chart data: The 20 worst terrorist attacks Fatalities Nigeria (September 17) 142 Syria (July 22) 123 Pakistan (January 10) 107 Pakistan (August 16) 91 Pakistan (September 22) 87 Afghanistan (August 2) 82 Afghanistan (August 18) 82 Kenya (September 21) 72 Syria (June 11) 70 Nigeria (December 20) 70 Algeria (January 16) 69 Yemen (December 5) 68 Syria (February 21) 62 Syria (February 6) 61 Central African Republic (December 5) 54 Afghanistan (April 3) 53 Syria (March 21) 50 Iraq (April 24) 46 Nigeria (July 6) 46 Pakistan (March 3) 45

Vega-Lite specification:
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Chart description: Between 2010 and 2020, the distribution by employment by economic sector had gradually increased from approximately 0.175 to 0.22.

Chart data: Year Industry Dec 31, 2009 0.1763 Dec 31, 2010 0.1802 Dec 31, 2011 0.1854 Dec 31, 2012 0.1912 Dec 31, 2013 0.1934 Dec 31, 2014 0.1993 Dec 31, 2015 0.2046 Dec 31, 2016 0.2042 Dec 31, 2017 0.2082 Dec 31, 2018 0.2126 Dec 31, 2019 0.2165

Vega-Lite specification:
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Chart description: The majority of respondants believe that drastic measures must be taken to contain COVID-19. The majority of respondants believe that stopping sporting events and allowing employees to work from home are the correct measures to be taken. Less than half of respondants believe that free masks should be provided.

Chart data: Response Mar 26 to Mar 27 Cancel large sporting events, concerts or other large events 0.86 Encourage companies to allow people to work from home 0.84 Temporarily close schools 0.81 Quarantine anyone who has been in contact with a contaminated patient 0.74 Quarantine all inbound flights from countries with confirmed cases of Coronavirus 0.74 Stop all inbound flights from countries with confirmed cases of Coronavirus 0.72 Quarantine all passengers on all flights from Mainland China 0.67 Stop all flights from Mainland China 0.68 Cancel routine hospital appointments and operations 0.66 Provide free masks for all people in Britain 0.29 Quarantine all Chinese travellers currently in Britain 0.32 Quarantine any location in Britain that a contaminated patient has been in 0.34 I don't think the government should take any measures 0.01

Vega-Lite specification:
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Chart description: According to the bar chart, most people believe that the British government should contain covid 19 by cancelling large sporting events. The event they think should happen the least is the government taking no action.

Chart data: Apr 16 to Apr 17 Response 0.87 Cancel large sporting events, concerts or other large events 0.82 Encourage companies to allow people to work from home 0.74 Temporarily close schools 0.7 Quarantine anyone who has been in contact with a contaminated patient 0.67 Quarantine all inbound flights from countries with confirmed cases of Coronavirus 0.62 Stop all inbound flights from countries with confirmed cases of Coronavirus 0.61 Quarantine all passengers on all flights from Mainland China 0.59 Stop all flights from Mainland China 0.54 Cancel routine hospital appointments and operations 0.4 Provide free masks for all people in Britain 0.3 Quarantine all Chinese travellers currently in Britain 0.27 Quarantine any location in Britain that a contaminated patient has been in 0.01 I don't think the government should take any measures

Vega-Lite specification:
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Chart description: From 2008 the median wealth of the Senate gradually rose until 2015 and thereafter it quite rapidly decreased until it was the same level in 2018 as it was in 2008.

Chart data: Year Senate Dec 31, 2007 1.74 Dec 31, 2008 2.41 Dec 31, 2009 2.27 Dec 31, 2010 2.52 Dec 31, 2011 2.74 Dec 31, 2012 2.32 Dec 31, 2013 2.35 Dec 31, 2014 3.33 Dec 31, 2015 3.19 Dec 31, 2016 2.03 Dec 31, 2017 1.76

Vega-Lite specification:
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Chart description: The amount of imported beer increases with each year, peaking at just over 150 million liters in around 2017, before slowly beginning to decline in 2018.

Chart data: Year Imported beer Dec 31, 2007 122.82 Dec 31, 2008 130.08 Dec 31, 2009 132.98 Dec 31, 2010 130.62 Dec 31, 2011 131.27 Dec 31, 2012 135.17 Dec 31, 2013 135.69 Dec 31, 2014 140.48 Dec 31, 2015 150.71 Dec 31, 2016 156.83 Dec 31, 2017 152.9 Dec 31, 2018 148.46

Vega-Lite specification:
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Chart description: Imported beer sales by volume in Ontario increased from around 120 million l in 2008 to around 155 million l in 2017.  This volum then dropped back to around 150 million l in 2019.

Chart data: Year Imported beer Dec 31, 2007 122.82 Dec 31, 2008 130.08 Dec 31, 2009 132.98 Dec 31, 2010 130.62 Dec 31, 2011 131.27 Dec 31, 2012 135.17 Dec 31, 2013 135.69 Dec 31, 2014 140.48 Dec 31, 2015 150.71 Dec 31, 2016 156.83 Dec 31, 2017 152.9 Dec 31, 2018 148.46

Vega-Lite specification:
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Chart description: Match revenue has been in general decline over the seasons 2008/2009 to 2018/2019. The largest match revenue was received in 2012/2013. The smallest match revenue was received in 2018/2019.

Chart data: Match revenue Year 0.1294 2018/19 0.1412 2017/18 0.1493 2016/17 0.1626 2015/16 0.1985 2014/15 0.1972 2013/14 0.216 2012/13 0.2118 2011/12 0.2117 2010/11 0.2143 2009/10 0.2119 2008/09

Vega-Lite specification:
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Chart description: The advertising share of revenue of the German Bundesliga has gradually decreased year on year to it's lowest in the year 2018.

Chart data: Year Advertising 2018/19 0.2103 2017/18 0.2286 2016/17 0.253 2015/16 0.2381 2014/15 0.2565 2013/14 0.2618 2012/13 0.2664 2011/12 0.2658 2010/11 0.2692 2009/10 0.2892 2008/09 0.285

Vega-Lite specification:
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Chart description: The unemployment rate among high school graduates and dropouts was trending upward from 2000 to around 2009. After 2009, the unemployment rate has trended downward. The peak unemployment rate of  high school graduates and dropouts was approximately 0.27.

Chart data: Year Graduates Dec 31, 1999 0.095 Dec 31, 2003 0.164 Dec 31, 2004 0.137 Dec 31, 2005 0.164 Dec 31, 2006 0.147 Dec 31, 2007 0.203 Dec 31, 2008 0.284 Dec 31, 2009 0.278 Dec 31, 2010 0.267 Dec 31, 2011 0.257 Dec 31, 2012 0.258 Dec 31, 2013 0.212 Dec 31, 2014 0.164 Dec 31, 2015 0.131 Dec 31, 2016 0.132 Dec 31, 2017 0.141 Dec 31, 2018 0.146

Vega-Lite specification:
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Chart description: The x-axis (Year) has 5-year increments.  The y-axis (Graduates) has increments of 0.05. Unemployment rate was lowest in 2000, gradually peaking in 2009. It then decreased until 2016, when it began to rise again.

Chart data: Year Graduates Dec 31, 1999 0.095 Dec 31, 2003 0.164 Dec 31, 2004 0.137 Dec 31, 2005 0.164 Dec 31, 2006 0.147 Dec 31, 2007 0.203 Dec 31, 2008 0.284 Dec 31, 2009 0.278 Dec 31, 2010 0.267 Dec 31, 2011 0.257 Dec 31, 2012 0.258 Dec 31, 2013 0.212 Dec 31, 2014 0.164 Dec 31, 2015 0.131 Dec 31, 2016 0.132 Dec 31, 2017 0.141 Dec 31, 2018 0.146

Vega-Lite specification:
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Chart description: Rates of the disease are highest in men of ages 20-24 and then fall gradually to a low of about 30 in men of ages 55-64, with very few in ages 65+. Overall is over 200.

Chart data: Men Age in years 4.8 10-14 320.5 15-19 720.9 20-24 674 25-29 481.2 30-34 316.1 35-39 200.5 40-44 120 45-54 51.3 55-64 9 above 65 212.8 Total

Vega-Lite specification:
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Chart description: I can see that 15- 29 year old have the greatest risk of catching gonnereha.

Chart data: Age in years Women 10-14 21.3 15-19 548.1 20-24 702.6 25-29 427.2 30-34 248.3 35-39 139.1 40-44 74.3 45-54 28.6 55-64 7.7 above 65 1 Total 145.8

Vega-Lite specification:
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Chart description: The 20-24 age range had the largest number of reported cases. After 20-24, reported cases drop progressively with increasing age. The lowest number of reported cases was in the age range above 65.

Chart data: Age in years Women 10-14 21.3 15-19 548.1 20-24 702.6 25-29 427.2 30-34 248.3 35-39 139.1 40-44 74.3 45-54 28.6 55-64 7.7 above 65 1 Total 145.8

Vega-Lite specification:
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Chart description: The revenue of the IHG fell from 2008 into 2009. Since then the revenue has continued to climb on a steady basis.

Chart data: Year Franchised hotels Dec 31, 2007 623 Dec 31, 2008 531 Dec 31, 2009 558 Dec 31, 2010 609 Dec 31, 2011 653 Dec 31, 2012 699 Dec 31, 2013 754 Dec 31, 2014 785 Dec 31, 2015 806 Dec 31, 2016 833 Dec 31, 2017 0 Dec 31, 2018 0

Vega-Lite specification:
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Chart description: More people are buying franchised hotels. The growth is generally quite steady.

Chart data: Year Franchised hotels Dec 31, 2007 623 Dec 31, 2008 531 Dec 31, 2009 558 Dec 31, 2010 609 Dec 31, 2011 653 Dec 31, 2012 699 Dec 31, 2013 754 Dec 31, 2014 785 Dec 31, 2015 806 Dec 31, 2016 833 Dec 31, 2017 0 Dec 31, 2018 0

Vega-Lite specification:
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Chart description: The IHG started on a decline from 2008 into 2009 dropping by almost 100 million in revenue, However since 2009 up to 2017 they were continuously inclining growing by about 250 million dollars. It seems like they shut down in 2017 as the revenue cuts off.

Chart data: Year Franchised hotels Dec 31, 2007 623 Dec 31, 2008 531 Dec 31, 2009 558 Dec 31, 2010 609 Dec 31, 2011 653 Dec 31, 2012 699 Dec 31, 2013 754 Dec 31, 2014 785 Dec 31, 2015 806 Dec 31, 2016 833 Dec 31, 2017 0 Dec 31, 2018 0

Vega-Lite specification:
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Chart description: The number of franchised hotels dropped below 600 in 2009 and then has risen every year since, peaking in 2017.

Chart data: Year Franchised hotels Dec 31, 2007 623 Dec 31, 2008 531 Dec 31, 2009 558 Dec 31, 2010 609 Dec 31, 2011 653 Dec 31, 2012 699 Dec 31, 2013 754 Dec 31, 2014 785 Dec 31, 2015 806 Dec 31, 2016 833 Dec 31, 2017 0 Dec 31, 2018 0

Vega-Lite specification:
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Chart description: Revenue of the IHG sharply dropped from the year 2008 to just under 400 managed hotels. This is the lowest it reached within the 2008-2016 time frame. There was a sharp increase in revenue after the drop in 2008 to just shy of 500 managed hotels. From then on, there was a steady increase in revenue up to 2016 where there was just over 600 managed hotels.

Chart data: Year Managed hotels Dec 31, 2007 449 Dec 31, 2008 334 Dec 31, 2009 404 Dec 31, 2010 470 Dec 31, 2011 485 Dec 31, 2012 546 Dec 31, 2013 548 Dec 31, 2014 591 Dec 31, 2015 595 Dec 31, 2016 619 Dec 31, 2017 0 Dec 31, 2018 0

Vega-Lite specification:
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Chart description: Morocco age structure has remained level in the last decade hovering around 0.65.

Chart data: Year 15-64 years Dec 31, 2008 0.6508 Dec 31, 2009 0.6534 Dec 31, 2010 0.656 Dec 31, 2011 0.6576 Dec 31, 2012 0.6583 Dec 31, 2013 0.6587 Dec 31, 2014 0.6589 Dec 31, 2015 0.6582 Dec 31, 2016 0.6579 Dec 31, 2017 0.6578 Dec 31, 2018 0.6573

Vega-Lite specification:
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Chart description: the chart shows a fairly steady trajectory. there is a slowly rising increase from 1990 to 2010. this peaks in  2010. from 2010 onwards there is a downwards trend.

Chart data: Year Female householder, no spouse present Dec 31, 1989 0.116 Dec 31, 1999 0.122 Dec 31, 2009 0.131 Dec 31, 2012 0.126 Dec 31, 2013 0.1251 Dec 31, 2014 0.1248 Dec 31, 2015 0.1242 Dec 31, 2016 0.1234 Dec 31, 2017 0.1209 Dec 31, 2018 0.117 Dec 31, 2019 0.1154

Vega-Lite specification:
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Chart description: ONE PERSON HOUSEHOLDS HAS INCREASED IN THE US FROM 1990 TO 2020 FROM 0.3.0 TO0.3.5.

Chart data: Year One person households Dec 31, 1989 0.292 Dec 31, 1999 0.3121 Dec 31, 2009 0.3293 Dec 31, 2012 0.3394 Dec 31, 2013 0.3398 Dec 31, 2014 0.3441 Dec 31, 2015 0.3468 Dec 31, 2016 0.3438 Dec 31, 2017 0.3488 Dec 31, 2018 0.3507 Dec 31, 2019 0.3485

Vega-Lite specification:
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Chart description: Between 1990 - 2020 there has been an overall increase in percentage of one person households. Since 2010, the increase of one person households has been less consistient year on year.

Chart data: Year One person households Dec 31, 1989 0.292 Dec 31, 1999 0.3121 Dec 31, 2009 0.3293 Dec 31, 2012 0.3394 Dec 31, 2013 0.3398 Dec 31, 2014 0.3441 Dec 31, 2015 0.3468 Dec 31, 2016 0.3438 Dec 31, 2017 0.3488 Dec 31, 2018 0.3507 Dec 31, 2019 0.3485

Vega-Lite specification:
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Chart description: overall there has been a massive change in mode of shopping from offline to online. the biggest increase has been seen in clothing, food deliveries and in home deliveries by restaurants.

Chart data: United States Response 0.31 Restaurant delivery / takeaway 0.27 Hygiene products (e.g. hand sanitizer, toilet paper) 0.26 Clothing 0.26 Household cleaning products 0.24 Food and drink delivery (e.g. from supermarket) 0.21 Health products (e.g. medicine) 0.15 Books 0.15 Hobby supplies 0.13 Games 0.11 Consumer electronics, household appliances, furniture 0.11 Video 0.1 Music 0.06 Magazines & newspapers 0.06 Financial products and services 0.03 Other 0.29 I have not shifted from offline to online purchases for any products or services

Vega-Lite specification:
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