delen/vistext huggingface dataset:
Chart description: The response has steadily increased year on year 2010-2018.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.5672 Dec 31, 2009 0.5692 Dec 31, 2010 0.5711 Dec 31, 2011 0.5731 Dec 31, 2012 0.5751 Dec 31, 2013 0.577 Dec 31, 2014 0.579 Dec 31, 2015 0.5809 Dec 31, 2016 0.583 Dec 31, 2017 0.5852 Dec 31, 2018 0.5876

Vega-Lite specification:
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Chart description: There is a clearly steady growth from 2009 to 2019. It’s not a big growth, but it’s going up every year.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.5672 Dec 31, 2009 0.5692 Dec 31, 2010 0.5711 Dec 31, 2011 0.5731 Dec 31, 2012 0.5751 Dec 31, 2013 0.577 Dec 31, 2014 0.579 Dec 31, 2015 0.5809 Dec 31, 2016 0.583 Dec 31, 2017 0.5852 Dec 31, 2018 0.5876

Vega-Lite specification:
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Chart description: As of 2020, there are over 10 food retail chains in Belarus. There are the same number of furniture & decoration and home ware retail chains in Belarus (as of 2020). There are several sectors that are not represented as retail chains in Belarus.

Chart data: Number of retail chains sector 11 Food 8 Fashion & Clothing 3 DIY & Gardening 3 Footwear & Leather 2 Consumer Electronics 1 Personal Care 1 Home Ware 1 Furniture & Decoration 1 Books & Magazines 0 Toys & Games 0 Pet Care 0 Jewelry & Watches 0 Baby Ware 0 Optical 0 Petrol 0 Telecom 0 Car Parts & Accessories 0 Sport & Leisure

Vega-Lite specification:
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Chart description: Air cargo at the airport trend is consistent over the period 2010 to 2018.   An initial decline to below 2million tonnes in 2011 did not really recover until 2014 where it remained above 2 million tonnes.  It peaked around 2017 at about 2.3 mill tonnes which was a record and then return towards the 2 million tons at the end of the period.

Chart data: Year Cargo volume in million tons Dec 31, 2009 2.13 Dec 31, 2010 1.9 Dec 31, 2011 1.95 Dec 31, 2012 1.94 Dec 31, 2013 2.04 Dec 31, 2014 2.04 Dec 31, 2015 2.08 Dec 31, 2016 2.26 Dec 31, 2017 2.2 Dec 31, 2018 2.04

Vega-Lite specification:
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Chart description: Calgary is the most water-efficient city. Toronto is the least water efficient city. Boston and Calgary are the only cities with a water efficiency higher than 90. Every city has a water efficiency higher than 80.

Chart data: City Score Calgary 94.1 Boston 91.8 New York City 88.8 Minneapolis 88.2 San Francisco 87.4 Vancouver 86.6 Denver 85.6 Ottawa 84.9 Charlotte 84.8 Toronto 83.5

Vega-Lite specification:
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Chart description: Before 2008 and during 2014-2016 seem to have the worst numbers of people injured during acts of terrorism.

Chart data: Year Number of injured people Dec 31, 2006 44103 Dec 31, 2007 33901 Dec 31, 2008 32660 Dec 31, 2009 30684 Dec 31, 2010 25903 Dec 31, 2011 21652 Dec 31, 2012 32880 Dec 31, 2013 34785 Dec 31, 2014 37419 Dec 31, 2015 33932 Dec 31, 2016 19461 Dec 31, 2017 22651 Dec 31, 2018 19924

Vega-Lite specification:
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Chart description: The average amount spent by the football clubs was under 100 million dollars. Six clubs went above this budget, with Real Madrid spending much more with a figure close to 500 million dollars. Fc Barcelona was next spending a bit less than Read Madrid.

Chart data: Squad spending limit in million euros* association football club 468.5 Real Madrid 382.7 FC Barcelona 252.7 Atlético de Madrid 185.8 Sevilla FC 145.2 Villarreal CF 119.8 Athletic Club 103.4 Valencia CF 100.9 Real Sociedad 71.3 Real Betis 62.5 RC Celta de Vigo 56.5 Granada CF 52.6 Getafe CF 49.4 Real Valladolid CF 46.6 CA Osasuna 42.7 SD Eibar 42 Deportivo Alavés 41 Cádiz CF 37.6 Levante UD 37.1 SD Huesca 34.6 Elche CF

Vega-Lite specification:
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Chart description: Emilia-Romagna had the highest net internal migration in 2019. Calabria and Molise had the lowest number of internal migrants in 2019.

Chart data: Net migration per thousand inhabitants region of Italy 5.2 Emilia-Romagna 4.2 Lombardy 3.1 Liguria 2.9 Trentino-South Tyrol 2.8 Tuscany 2.2 Friuli-Venezia Giulia 1.8 Veneto 1.7 Piedmont 1.2 Umbria −0.2 Lazio −0.2 Marche −0.4 Aosta Valley −0.9 Abruzzo −1.6 Sardinia −2.8 Apulia −3.9 Campania −4.3 Sicily −4.7 Basilicata −5.7 Molise −7.1 Calabria

Vega-Lite specification:
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Chart description: sales have remained consistent over the last 5 years.

Chart data: Year Production in billion cubic meters Dec 31, 2008 461.52 Dec 31, 2009 508.59 Dec 31, 2010 513.17 Dec 31, 2011 487.99 Dec 31, 2012 488.39 Dec 31, 2013 444.9 Dec 31, 2014 419.52 Dec 31, 2015 420.13 Dec 31, 2016 472.05 Dec 31, 2017 498.68 Dec 31, 2018 501.22

Vega-Lite specification:
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Chart description: Gazprom's production of natural and associated gas in Russia peak at over 500 million cubic meters in 2011. It then declines relatively steadily until reaching a low of just over 400 million cubic meters in 2014. Between 2015 and 2019 it has risen back to 500 million cubic meters of production.

Chart data: Year Production in billion cubic meters Dec 31, 2008 461.52 Dec 31, 2009 508.59 Dec 31, 2010 513.17 Dec 31, 2011 487.99 Dec 31, 2012 488.39 Dec 31, 2013 444.9 Dec 31, 2014 419.52 Dec 31, 2015 420.13 Dec 31, 2016 472.05 Dec 31, 2017 498.68 Dec 31, 2018 501.22

Vega-Lite specification:
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Chart description: Gazproms lowest production of gas in Russia was during 2015 and 2016, where production dipped to just under 400 bn cubic metres. At its highest production in 2011, the amount reached over 500 bn cubic meters. Similar amounts were produced in 2010, 2017 and 2019.

Chart data: Year Production in billion cubic meters Dec 31, 2008 461.52 Dec 31, 2009 508.59 Dec 31, 2010 513.17 Dec 31, 2011 487.99 Dec 31, 2012 488.39 Dec 31, 2013 444.9 Dec 31, 2014 419.52 Dec 31, 2015 420.13 Dec 31, 2016 472.05 Dec 31, 2017 498.68 Dec 31, 2018 501.22

Vega-Lite specification:
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Chart description: British coloumbia and Quebec employe the most employees in the forestry and logging industry sector in canada in the year 2019. The other regions employ a lot less with Prince Edward island being the lowest.

Chart data: Number of employees in thousands province of Canada 0.2 Prince Edward Island 0.7 Manitoba 0.7 Saskatchewan 0.9 Newfoundland and Labrador 2 Nova Scotia 3.6 Alberta 3.6 New Brunswick 5 Ontario 14.3 Quebec 16.1 British Columbia

Vega-Lite specification:
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Chart description: Between 2000 and 2009 the number of schools increased from just under 1500 to 3000. There was a drop to 2200 in 2009/2020. Over the next 3 years there was an increase to 3100. The numbers stayed comparatively stable with small increases until 2016/2017. In 2016/2017 the numbers dropped back to 3100. In 2017/2018 the number of schools reached their highest level at 3400.

Chart data: Number of magnet schools Year 3421 2017/18 3164 2016/17 3237 2015/16 3285 2014/15 3254 2013/14 3151 2012/13 2949 2011/12 2722 2010/11 2213 2009/10 3021 2008/09 2793 2007/08 2108 2003/04 1469 2000/01

Vega-Lite specification:
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Chart description: The lowest number of magnet schools in the USA was in 2000/01. From the 2000/01 to 2008/09, the number of magnet schools in the USA increased every year. The number of magnet schools in USA then decreased in 2009/10. From 2010/11 to 2014/15, the number of magnet schools in USA increased every year. The number of magnet schools then decreased in 2015/16 and then again in 2016/17. In 2017/18, the number of magnet schools in USA increased to the highest total from the timescale.

Chart data: Number of magnet schools Year 3421 2017/18 3164 2016/17 3237 2015/16 3285 2014/15 3254 2013/14 3151 2012/13 2949 2011/12 2722 2010/11 2213 2009/10 3021 2008/09 2793 2007/08 2108 2003/04 1469 2000/01

Vega-Lite specification:
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Chart description: This is a line graph and we can clearly see that its for the years 2004-2017 regarding the operating revenue (in us dollars) for the airline  air Wisconsin.

Chart data: Year Revenue in million U.S. dollars Dec 31, 2003 672.08 Dec 31, 2004 681.84 Dec 31, 2005 568.35 Dec 31, 2006 575.72 Dec 31, 2007 667.72 Dec 31, 2008 546.15 Dec 31, 2009 589.16 Dec 31, 2010 660.19 Dec 31, 2011 668.51 Dec 31, 2012 655.63 Dec 31, 2013 644.58 Dec 31, 2014 536.04 Dec 31, 2015 443.02 Dec 31, 2016 247.71

Vega-Lite specification:
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Chart description: The export value is at its highest in years 2012 and 2014.

Chart data: Year Export value in billion U.S. dollars Dec 31, 2006 19.15 Dec 31, 2007 21.85 Dec 31, 2008 21.92 Dec 31, 2009 24.35 Dec 31, 2010 28.19 Dec 31, 2011 30.05 Dec 31, 2012 29.26 Dec 31, 2013 30.55 Dec 31, 2014 28.33 Dec 31, 2015 26 Dec 31, 2016 25.25 Dec 31, 2017 25.22

Vega-Lite specification:
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Chart description: Up to 2012 the value in US dollars of industrial engines increased steadily. In 2013 value decreased to below 30 billion US dollars, before increasing again to above 30 billion US dollars again in 2014. From 2015 the value began to drop steadily. In 2016 the value began to level out at approximately 25 billion dollars.

Chart data: Year Export value in billion U.S. dollars Dec 31, 2006 19.15 Dec 31, 2007 21.85 Dec 31, 2008 21.92 Dec 31, 2009 24.35 Dec 31, 2010 28.19 Dec 31, 2011 30.05 Dec 31, 2012 29.26 Dec 31, 2013 30.55 Dec 31, 2014 28.33 Dec 31, 2015 26 Dec 31, 2016 25.25 Dec 31, 2017 25.22

Vega-Lite specification:
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Chart description: US exports reached a peak in 2014  and have begun to decline since.

Chart data: Year Export value in billion U.S. dollars Dec 31, 2006 19.15 Dec 31, 2007 21.85 Dec 31, 2008 21.92 Dec 31, 2009 24.35 Dec 31, 2010 28.19 Dec 31, 2011 30.05 Dec 31, 2012 29.26 Dec 31, 2013 30.55 Dec 31, 2014 28.33 Dec 31, 2015 26 Dec 31, 2016 25.25 Dec 31, 2017 25.22

Vega-Lite specification:
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Chart description: The bar chart suggests that the largest Hispanic population group are Mexicans and the lowest are of the Peruvians across the country. Cubans are the highest Hispanic population group in Florida while the Peruvians are the lowest in that state. The Guatemalans are the lowest populated group in California while the Mexicans are by far the highest. In New York, the Puerto Ricans are the highest populated group where as the Ecuadorians are the lowest.

Chart data: Country of origin Population number Mexicans in Los Angeles County, CA 3510677 Cubans in Miami-Dade County, FL 856007 Salvadorans in Los Angeles County, CA 358825 Puerto Ricans in Bronx County, NY 298921 Dominicans in Bronx County, NY 240987 Guatemalans in Los Angeles County, CA 214939 Colombians in Miami-Dade County, FL 114701 Ecuadorians in Queens County, NY 98512 Hondurans in Miami-Dade County, FL 54192 Peruvians in Miami-Dade County, FL 40701

Vega-Lite specification:
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Chart description: The national debt throughout the Netherlands has stayed increasingly high throughout the ten year period, although from 2022, it is just an assumption as we have not progressed from this point.

Chart data: Year National debt to GDP ratio 2025* 0.5639 2024* 0.586 2023* 0.6011 2022* 0.6101 2021* 0.6114 2020* 0.5932 2019 0.4838 2018 0.5239 2017 0.5691 2016 0.6189 2015 0.6464

Vega-Lite specification:
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Chart description: The National debt to GDP ratio decreased yearly between 2015 and 2019.

Chart data: Year National debt to GDP ratio 2025* 0.5639 2024* 0.586 2023* 0.6011 2022* 0.6101 2021* 0.6114 2020* 0.5932 2019 0.4838 2018 0.5239 2017 0.5691 2016 0.6189 2015 0.6464

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Chart description: The most annoying behaviours are hotel guests that are loud neighbours and people who are rude to other travellers.

Chart data: Response Share of respondents Hotel guests that are loud neighbors 0.65 People who are rude to other travelers and hotel guests 0.64 Guests that are rude to hotel staff 0.56 Those that line jump for a taxi or "steal" a taxi from another guest 0.51 Hotel guests that make a mess in common areas 0.45 Travelers that complain about being disturbed by housekeeping when they do not put up the "Do Not Disturb" sign 0.34 Travelers that take things they are not supposed to take from their rooms 0.33 Guests that do not tip the bellmen, porters or housekeeping 0.24 Travelers that have more people stay in their hotel room than allowed 0.22 People that leave their luggage in the hall 0.19

Vega-Lite specification:
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Chart description: From the bar chart we can see that on average for every football league season excluding 2019/2020 there has been an average visitor count of around 4 Million people. There are fluctuation between each year but they seem to very little variance from the average of 4. Conversely we see that the season 2019/20 experinced the fewest visitor count at just around 3.5 Million with the season prior to it 2018/19 experiencing the most number of visitors approximately 4.8 million.

Chart data: million visitors sports season 3.45 Season 2019/20 4.8 Season 2018/19 4.3 Season 2017/18 4.38 Season 2016/17 3.95 Season 2015/16 3.97 Season 2014/15 4.2 Season 2013/14 3.57 Season 2012/13 4.16 Season 2011/12 4.22 Season 2010/11

Vega-Lite specification:
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Chart description: Between 2009 and 2018 there was a steady decline in infant mortality from approximately 5.5 deaths in every 1000 love births to approximately 3.9 deaths. Between 2018 and 2019 the infant mortality rate remained constant at 3.9.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 5.5 Dec 31, 2009 5.1 Dec 31, 2010 4.9 Dec 31, 2011 4.7 Dec 31, 2012 4.5 Dec 31, 2013 4.3 Dec 31, 2014 4.2 Dec 31, 2015 4 Dec 31, 2016 3.9 Dec 31, 2017 3.8 Dec 31, 2018 3.8

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