delen/vistext huggingface dataset:
Chart description: Groceries aren't popular items to be bought over the internet, unlike books.

Chart data: Traditional retail Response 0.384 Books 0.408 Consumer electronics, media, video and audio recordings 0.416 Telecommunications, mobile phones and accessories 0.427 Computers and accessories 0.464 Gift vouchers of various retailers 0.549 Toys 0.58 Clothing, textiles, shoes 0.679 Pharmaceuticals 0.705 Jewellery and watches 0.786 Furniture and decoration 0.846 DIY and home improvement, garden accessories and flowers 0.932 Groceries

Vega-Lite specification:
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Chart description: The trade value of goods traded by the UK with the EU went from -10 billion GBP to -100 billion GBP from 2000 to 2019.

Chart data: Year Trade balance Dec 31, 1999 −7.63 Dec 31, 2000 −15.35 Dec 31, 2001 −25.02 Dec 31, 2002 −29.59 Dec 31, 2003 −33.56 Dec 31, 2004 −38.32 Dec 31, 2005 −32.99 Dec 31, 2006 −43.12 Dec 31, 2007 −40.76 Dec 31, 2008 −40.4 Dec 31, 2009 −44.34 Dec 31, 2010 −43.16 Dec 31, 2011 −57.07 Dec 31, 2012 −68.24 Dec 31, 2013 −76.85 Dec 31, 2014 −87.27 Dec 31, 2015 −95.55 Dec 31, 2016 −94.99 Dec 31, 2017 −93.52 Dec 31, 2018 −95.29

Vega-Lite specification:
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Chart description: Over time, the total number of import has gone up.

Chart data: Year Total imports Dec 31, 1999 118.62 Dec 31, 2000 129.06 Dec 31, 2001 139.58 Dec 31, 2002 140.57 Dec 31, 2003 145.32 Dec 31, 2004 160.07 Dec 31, 2005 186 Dec 31, 2006 171.19 Dec 31, 2007 182.4 Dec 31, 2008 165.48 Dec 31, 2009 187.63 Dec 31, 2010 204.02 Dec 31, 2011 208.11 Dec 31, 2012 219.26 Dec 31, 2013 223.35 Dec 31, 2014 220.51 Dec 31, 2015 237.93 Dec 31, 2016 258.84 Dec 31, 2017 265.72 Dec 31, 2018 265.41

Vega-Lite specification:
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Chart description: From 2000 to 2019, a trend seems to have emerged whereby the total trade in import goods between the UK and EU has some steady growth and then a dip. From 2000 to 2006 there is a pretty healthy growth, pushing towards £200bn then drops significantly after. The same trend can be seen at 2008 to 2009 onwards to 2014 where it reaches well over £200bn, and drops the year after before a healthy level of growth leading up to 2019, where it reaches over £250bn.

Chart data: Year Total imports Dec 31, 1999 118.62 Dec 31, 2000 129.06 Dec 31, 2001 139.58 Dec 31, 2002 140.57 Dec 31, 2003 145.32 Dec 31, 2004 160.07 Dec 31, 2005 186 Dec 31, 2006 171.19 Dec 31, 2007 182.4 Dec 31, 2008 165.48 Dec 31, 2009 187.63 Dec 31, 2010 204.02 Dec 31, 2011 208.11 Dec 31, 2012 219.26 Dec 31, 2013 223.35 Dec 31, 2014 220.51 Dec 31, 2015 237.93 Dec 31, 2016 258.84 Dec 31, 2017 265.72 Dec 31, 2018 265.41

Vega-Lite specification:
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Chart description: Ontario and Quebec both have by far the highest amounts of senior adults living there with Ontario having the highest amount beating Quebec by c.25%.  Alberta and British Columbia are the next two closely matched places with. 500,000 peoples.  Then the following provinces are all around and below 100k people.  This data shows there I a real mix of seniors spread around Canada.  As they show absolute numbers we don't get a feel for the percentage this age group represents in that area.

Chart data: province of Canada 55 to 64 years Ontario 1787820 Quebec 1174140 British Columbia 648130 Alberta 489190 Manitoba 158290 Nova Scotia 139400 Saskatchewan 139840 New Brunswick 114790 Newfoundland and Labrador 80330 Prince Edward Island 21420 Yukon 5300 Northwest Territories 4840 Nunavut 2320

Vega-Lite specification:
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Chart description: The direct and total contribution of travel and tourism is expected to increase every year until 2029. In 2029 the contribution will be almost double than it was in 2020.

Chart data: Year Total contribution Dec 31, 2019 10001.1 Dec 31, 2020 10740.5 Dec 31, 2021 11469.3 Dec 31, 2022 12242.9 Dec 31, 2023 13072.1 Dec 31, 2024 13953.6 Dec 31, 2025 14897.1 Dec 31, 2026 15882.5 Dec 31, 2027 16937.9 Dec 31, 2028 18031

Vega-Lite specification:
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Chart description: Between 2009 and 2018 the highest total number of Sears Holdings stores worldwide was  approximately 1050 in 2011 and 2013. In 2015 the number of hometown dealers of Sears Holdings stores declined to less than 1000. Since its increase back to 1000 in 2016 the number has significantly declined ever since, hitting around 600 in 2019.

Chart data: Year Hometown Dealers Dec 31, 2008 960 Dec 31, 2009 990 Dec 31, 2010 1040 Dec 31, 2011 1020 Dec 31, 2012 1040 Dec 31, 2013 1020 Dec 31, 2014 950 Dec 31, 2015 1010 Dec 31, 2016 740 Dec 31, 2017 620

Vega-Lite specification:
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Chart description: There has been a decrease in Sears Holdings. From just over 1300 to just over 350 in 9 years.

Chart data: Year Kmart Dec 31, 2008 1310 Dec 31, 2009 1330 Dec 31, 2010 1300 Dec 31, 2011 1230 Dec 31, 2012 1140 Dec 31, 2013 1040 Dec 31, 2014 940 Dec 31, 2015 750 Dec 31, 2016 550 Dec 31, 2017 370

Vega-Lite specification:
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Chart description: The most extreme measures (on either end of the spectrum) tended to have lower acceptance rates compared to milder lockdown measures.

Chart data: Response United States Better preparation for global crises 0.5 Wear protective face masks outside 0.48 Improve health system 0.48 No mass gatherings (e.g. sporting or music events) 0.43 Work from home more 0.4 Better working conditions/pay for low paid workers (e.g. cleaners) 0.39 Better welfare, for those with lower income or unemployed 0.35 Stronger punishments for people who don’t follow the rules 0.26 Wear protective gloves outside 0.19 Larger police presence on the streets 0.11 Things should go back to the exactly the way they were 0.1 Curfews 0.08 Government should track people’s movements 0.08 None of these 0.05

Vega-Lite specification:
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Chart description: The most popular answer was better protection for global crises. The least popular answer was 'none of these' indicates that the majority of people thought one of the suggestions was the correct approach in the aftermath of a pandemic.

Chart data: Response United States Better preparation for global crises 0.5 Wear protective face masks outside 0.48 Improve health system 0.48 No mass gatherings (e.g. sporting or music events) 0.43 Work from home more 0.4 Better working conditions/pay for low paid workers (e.g. cleaners) 0.39 Better welfare, for those with lower income or unemployed 0.35 Stronger punishments for people who don’t follow the rules 0.26 Wear protective gloves outside 0.19 Larger police presence on the streets 0.11 Things should go back to the exactly the way they were 0.1 Curfews 0.08 Government should track people’s movements 0.08 None of these 0.05

Vega-Lite specification:
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Chart description: The lowest number of responses wanted no action. There is a strong desire for the situation to just return to normal but with better future preparation for global crisesand health system improvement as these represented the highest responses. More punitive responses like having more police on the streets and curfews were amongst the least popular responses.

Chart data: Response United States Better preparation for global crises 0.5 Wear protective face masks outside 0.48 Improve health system 0.48 No mass gatherings (e.g. sporting or music events) 0.43 Work from home more 0.4 Better working conditions/pay for low paid workers (e.g. cleaners) 0.39 Better welfare, for those with lower income or unemployed 0.35 Stronger punishments for people who don’t follow the rules 0.26 Wear protective gloves outside 0.19 Larger police presence on the streets 0.11 Things should go back to the exactly the way they were 0.1 Curfews 0.08 Government should track people’s movements 0.08 None of these 0.05

Vega-Lite specification:
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Chart description: agriculture had a steady increase in production of GDP from 2010 onwards before a levelling off period between 2016 and 2018.

Chart data: Year Agriculture Dec 31, 2008 0.1679 Dec 31, 2009 0.1796 Dec 31, 2010 0.1823 Dec 31, 2011 0.1877 Dec 31, 2012 0.1957 Dec 31, 2013 0.1999 Dec 31, 2014 0.1978 Dec 31, 2015 0.1985 Dec 31, 2016 0.1902 Dec 31, 2017 0.1844 Dec 31, 2018 0.1863

Vega-Lite specification:
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Chart description: The general trend is for a reduction of GDP between 2009 to 2019.

Chart data: Year Industry Dec 31, 2008 0.2441 Dec 31, 2009 0.2494 Dec 31, 2010 0.2448 Dec 31, 2011 0.2292 Dec 31, 2012 0.2306 Dec 31, 2013 0.2151 Dec 31, 2014 0.2176 Dec 31, 2015 0.2114 Dec 31, 2016 0.2036 Dec 31, 2017 0.2128 Dec 31, 2018 0.2006

Vega-Lite specification:
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Chart description: GDP across economic sectors has steadily decreased from 2010 to 2019.

Chart data: Year Industry Dec 31, 2008 0.2441 Dec 31, 2009 0.2494 Dec 31, 2010 0.2448 Dec 31, 2011 0.2292 Dec 31, 2012 0.2306 Dec 31, 2013 0.2151 Dec 31, 2014 0.2176 Dec 31, 2015 0.2114 Dec 31, 2016 0.2036 Dec 31, 2017 0.2128 Dec 31, 2018 0.2006

Vega-Lite specification:
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Chart description: The line of distribution of Gross Domestic Product in Albania seems to stay at a similar level of around 0.45 services throughout the years 2009 - 2019, although a slight increase is noticeable from year 2015 onwards, where in 2019, the value seems to be closer to 0.48 services.

Chart data: Year Services Dec 31, 2008 0.4532 Dec 31, 2009 0.4403 Dec 31, 2010 0.4426 Dec 31, 2011 0.4495 Dec 31, 2012 0.4461 Dec 31, 2013 0.4578 Dec 31, 2014 0.4628 Dec 31, 2015 0.467 Dec 31, 2016 0.4797 Dec 31, 2017 0.4774 Dec 31, 2018 0.4858

Vega-Lite specification:
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Chart description: The GDP of the service sector in Albania has increased between 2009 and 2019. The GDP distribution of the service sector in Albania in 2009 was 0.45. There was a slight drop in the GDP of the service sector in Albania, between 2009 and 2010. Between 2009 and 2009 the GDP distribution of the service sector in Albania has not dropped below 0.42.

Chart data: Year Services Dec 31, 2008 0.4532 Dec 31, 2009 0.4403 Dec 31, 2010 0.4426 Dec 31, 2011 0.4495 Dec 31, 2012 0.4461 Dec 31, 2013 0.4578 Dec 31, 2014 0.4628 Dec 31, 2015 0.467 Dec 31, 2016 0.4797 Dec 31, 2017 0.4774 Dec 31, 2018 0.4858

Vega-Lite specification:
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Chart description: 15-64 years fell slightly from just above 0.6 in 2010 to just below 0.6 in 2018.

Chart data: Year 15-64 years Dec 31, 2008 0.6237 Dec 31, 2009 0.6229 Dec 31, 2010 0.6205 Dec 31, 2011 0.6178 Dec 31, 2012 0.6149 Dec 31, 2013 0.6119 Dec 31, 2014 0.6091 Dec 31, 2015 0.606 Dec 31, 2016 0.6033 Dec 31, 2017 0.601 Dec 31, 2018 0.5991

Vega-Lite specification:
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Chart description: Although demonstrating peaks and troughs of GDP the variance is minimal and could be seen as stagnant or optimistically stable.

Chart data: Year Agriculture Dec 31, 2008 0.0199 Dec 31, 2009 0.0206 Dec 31, 2010 0.0215 Dec 31, 2011 0.0201 Dec 31, 2012 0.0204 Dec 31, 2013 0.0185 Dec 31, 2014 0.0186 Dec 31, 2015 0.0214 Dec 31, 2016 0.0202 Dec 31, 2017 0.0202 Dec 31, 2018 0.0204

Vega-Lite specification:
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Chart description: The distribution of the gross domestic product (GDP) across economic sectors from 2009 to 2019 is steady across all years; there isn't much growth nor is there much loss. The highest is in 2013.

Chart data: Year Services Dec 31, 2008 0.6998 Dec 31, 2009 0.7159 Dec 31, 2010 0.7393 Dec 31, 2011 0.749 Dec 31, 2012 0.7607 Dec 31, 2013 0.7586 Dec 31, 2014 0.7553 Dec 31, 2015 0.7448 Dec 31, 2016 0.7335 Dec 31, 2017 0.7218 Dec 31, 2018 0.7186

Vega-Lite specification:
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Chart description: distribution of gross domestic product in cyprus has stayed steady with a slight increase in up to 2014 then a steady decline.

Chart data: Year Services Dec 31, 2008 0.6998 Dec 31, 2009 0.7159 Dec 31, 2010 0.7393 Dec 31, 2011 0.749 Dec 31, 2012 0.7607 Dec 31, 2013 0.7586 Dec 31, 2014 0.7553 Dec 31, 2015 0.7448 Dec 31, 2016 0.7335 Dec 31, 2017 0.7218 Dec 31, 2018 0.7186

Vega-Lite specification:
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Chart description: The rate of migration until 2016 increased.  The year 2016 is the peak in migration.  Post 2016, the rate of migration has been decreasing and is almost back to the rate in 2010.

Chart data: Year Immigration Dec 31, 2008 102280 Dec 31, 2009 98801 Dec 31, 2010 96467 Dec 31, 2011 103059 Dec 31, 2012 115845 Dec 31, 2013 126966 Dec 31, 2014 134240 Dec 31, 2015 163005 Dec 31, 2016 144489 Dec 31, 2017 132602 Dec 31, 2018 115805

Vega-Lite specification:
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Chart description: Drinks represent most of the sales. Cup drinks are far less popular than packaged drinks.

Chart data: 2010 products sold through vending machines 0.561 Packaged cold beverages* 0.23 Snacks, confections, pastry** 0.068 Hot drinks 0.065 Vended food*** 0.021 Ice cream 0.018 Milk 0.01 Bulk vending 0.006 Cold drinks (cup) 0.006 Cigarettes & Cigars 0.015 All other

Vega-Lite specification:
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Chart description: Between 2010 and 2019 National Parks was the most preferred place for visitors to visit in the United States In the United States The National Reserve was not a popular visitor attraction at all during 2010 and 2019.

Chart data: 2014 national parks and sites 68.93 National Park 45.22 National Recreation Area 36.03 National Memorial 30.47 National Historical Park 28.53 National Parkway 24.45 National Monument 18.55 National Seashore 9.93 National Historic Site 4.46 National River 4.44 National Military Park 3.23 National Preserve 2.87 National Battlefield Park 3.77 National Lakeshore 1.84 National Battlefield 1.35 National Wild & Scenic River 0.1 National Reserve 8.64 Park (Other)

Vega-Lite specification:
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Chart description: In 2017 many people visited national parks and sites in the US, with by far the most popular site being the National Parks, which experienced over 80 million visits.

Chart data: national parks and sites 2017 National Par  84.05; national parks and sites: National Park National Recreation Are  52.11; national parks and sites: National Recreation Area National Memoria  40.1; national parks and sites: National Memorial National Historical Par  33.5; national parks and sites: National Historical Park National Parkwa  31.42; national parks and sites: National Parkway National Monumen  26.33; national parks and sites: National Monument National Seashor  18.47; national parks and sites: National Seashore National Historic Sit  10.36; national parks and sites: National Historic Site National Rive  5; national parks and sites: National River National Military Par  4.7; national parks and sites: National Military Park National Preserv  3.45; national parks and sites: National Preserve National Battlefield Par  3.66; national parks and sites: National Battlefield Park National Lakeshor  4.82; national parks and sites: National Lakeshore National Battlefiel  1.96; national parks and sites: National Battlefield National Wild & Scenic Rive  1.47; national parks and sites: National Wild & Scenic River National Reserv  0.13; national parks and sites: National Reserve Park (Other  9.33; national parks and sites: Park (Other)

Vega-Lite specification:
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Chart description: National Park is the most popular park, as 90 million people visited in 2017, the least popular site is the National Wild and Scenic River, as 5 million people visited in 2017.

Chart data: national parks and sites 2017 National Par  84.05; national parks and sites: National Park National Recreation Are  52.11; national parks and sites: National Recreation Area National Memoria  40.1; national parks and sites: National Memorial National Historical Par  33.5; national parks and sites: National Historical Park National Parkwa  31.42; national parks and sites: National Parkway National Monumen  26.33; national parks and sites: National Monument National Seashor  18.47; national parks and sites: National Seashore National Historic Sit  10.36; national parks and sites: National Historic Site National Rive  5; national parks and sites: National River National Military Par  4.7; national parks and sites: National Military Park National Preserv  3.45; national parks and sites: National Preserve National Battlefield Par  3.66; national parks and sites: National Battlefield Park National Lakeshor  4.82; national parks and sites: National Lakeshore National Battlefiel  1.96; national parks and sites: National Battlefield National Wild & Scenic Rive  1.47; national parks and sites: National Wild & Scenic River National Reserv  0.13; national parks and sites: National Reserve Park (Other  9.33; national parks and sites: Park (Other)

Vega-Lite specification:
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Chart description: Global contact centre satisfaction in the private sector peaked in 2013 at 78 out of 80 then dropped to its lowest level of 65 out of 80 mid year in 2018. Since then it has risen again to 71 out of 80. Overall since 2014 global contact centre satisfaction has been quite steady only rising and falling slightly with no big peaks and troughs.

Chart data: Year Private sector Dec 31, 2009 75 Dec 31, 2010 76 Dec 31, 2011 75 Dec 31, 2012 77 Dec 31, 2013 69 Dec 31, 2014 72 Dec 31, 2015 68 Dec 31, 2016 68 Dec 31, 2017 70 Dec 31, 2018 68 Dec 31, 2019 71

Vega-Lite specification:
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Chart description: Agriculture has dropped by half in the last 8 years.

Chart data: Year Agriculture Dec 31, 2008 0.0379 Dec 31, 2009 0.0361 Dec 31, 2010 0.0323 Dec 31, 2011 0.0305 Dec 31, 2012 0.0294 Dec 31, 2013 0.0285 Dec 31, 2014 0.0279 Dec 31, 2015 0.026 Dec 31, 2016 0.0238 Dec 31, 2017 0.0224 Dec 31, 2018 0.0213

Vega-Lite specification:
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Chart description: During the year 2010 the industry is plotted at about 0.19. Over the next two years it increases steadily and plots at about 0.22 in 2012. From the year 2012 to 2014 it rapidly increases again and plots at about .27 in 2014. From the year 2014 too 2016 it increases and plots at about .26 in 2016. From 2016 to 2018 it barely increases and plots at about .29 in 2018.

Chart data: Year Industry Dec 31, 2008 0.1925 Dec 31, 2009 0.1921 Dec 31, 2010 0.1984 Dec 31, 2011 0.2154 Dec 31, 2012 0.2514 Dec 31, 2013 0.2663 Dec 31, 2014 0.2756 Dec 31, 2015 0.2844 Dec 31, 2016 0.2935 Dec 31, 2017 0.2949 Dec 31, 2018 0.2952

Vega-Lite specification:
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