delen/vistext huggingface dataset:
Chart description: Unemployment remained around 0.06 until 2005 when it fell below 0.06.

Chart data: Year Unemployment rate Dec 31, 1998 0.0595 Dec 31, 1999 0.0593 Dec 31, 2000 0.0593 Dec 31, 2001 0.0599 Dec 31, 2002 0.0599 Dec 31, 2003 0.0594 Dec 31, 2004 0.0587 Dec 31, 2005 0.0573 Dec 31, 2006 0.0561 Dec 31, 2007 0.0557 Dec 31, 2008 0.0584 Dec 31, 2009 0.0591 Dec 31, 2010 0.0591 Dec 31, 2011 0.0593 Dec 31, 2012 0.0595 Dec 31, 2013 0.0589 Dec 31, 2014 0.0585 Dec 31, 2015 0.058 Dec 31, 2016 0.0571 Dec 31, 2017 0.0562 Dec 31, 2018 0.0565 Dec 31, 2019 0.0567

Vega-Lite specification:
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Chart description: starting from 2010 the number of branches of deutsche bank worldwide was the biggest, to compare with other years there is a linear decrease and finally in 2019 there is the lowest number of branches.

Chart data: Year Number of branches Dec 31, 2009 3083 Dec 31, 2010 3078 Dec 31, 2011 2984 Dec 31, 2012 2907 Dec 31, 2013 2814 Dec 31, 2014 2790 Dec 31, 2015 2656 Dec 31, 2016 2425 Dec 31, 2017 2064 Dec 31, 2018 1931

Vega-Lite specification:
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Chart description: The most common reason for Internet users in the United States shopping on amazon, is shown to be "fast free shipping". The least common reasons shown are "other", "proactive communication .. ", and "unique items I couldn't find elsewhere".

Chart data: Response Share of respondents Fast, free shipping 0.798 Broad selection - they sell everything I need 0.689 I am a Prime member 0.657 Best pricing 0.492 Easy returns process 0.437 Best digital shopping experience 0.42 Product reviews and recommendations 0.405 Unique items I can't find elsewhere (handcrafted, vintage, custom) 0.223 Proactive communication during delivery 0.178 Other 0.024

Vega-Lite specification:
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Chart description: The main reason for people to choose Amazon is their free shipping option shown as the largest section of the bar chart.

Chart data: Response Share of respondents Fast, free shipping 0.798 Broad selection - they sell everything I need 0.689 I am a Prime member 0.657 Best pricing 0.492 Easy returns process 0.437 Best digital shopping experience 0.42 Product reviews and recommendations 0.405 Unique items I can't find elsewhere (handcrafted, vintage, custom) 0.223 Proactive communication during delivery 0.178 Other 0.024

Vega-Lite specification:
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Chart description: The most popular appetizer is the sausage but the second most popular dishes include a meat dish and also a vegetarian dish which really suggests no immediate trend based on the selection but could be down to other factors not measured here.

Chart data: Response Share of respondents Fresh/house-made sausage 0.67 House-cured meats/charcuterie 0.59 Vegetarian appetizers 0.59 Ethnic/street food-inspired appetizers (e.g. tempura, taquitos, kabobs) 0.53 Seafood charcuterie 0.52 Amuse-bouche/bite-size hors d'oeuvre 0.51 Ethnic dips (e.g. hummus, tabbouleh, baba ganoush, tzatziki) 0.41 Poke/ceviche 0.33 Bone marrow 0.32 Jerky (e.g. beef, fish, turkey, boar, bison) 0.32 Flatbread appetizers 0.3 Oysters 0.25 Sliders/mini-burgers 0.24

Vega-Lite specification:
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Chart description: In 2016, the most popular appertizer in the US was fresh/house-made sausage, and the least was sliders/mini burgers and oysters.

Chart data: Response Share of respondents Fresh/house-made sausage 0.67 House-cured meats/charcuterie 0.59 Vegetarian appetizers 0.59 Ethnic/street food-inspired appetizers (e.g. tempura, taquitos, kabobs) 0.53 Seafood charcuterie 0.52 Amuse-bouche/bite-size hors d'oeuvre 0.51 Ethnic dips (e.g. hummus, tabbouleh, baba ganoush, tzatziki) 0.41 Poke/ceviche 0.33 Bone marrow 0.32 Jerky (e.g. beef, fish, turkey, boar, bison) 0.32 Flatbread appetizers 0.3 Oysters 0.25 Sliders/mini-burgers 0.24

Vega-Lite specification:
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Chart description: From this visualisation it is evident that the gross domestic product of Canada has risen in nineteen years from 30 000 million to almost 40 000 million Canadian dollars.

Chart data: Year GDP in million chained 2012 Canadian dollars Dec 31, 1999 29571.6 Dec 31, 2000 30377.3 Dec 31, 2001 31608.4 Dec 31, 2002 32018.4 Dec 31, 2003 32360 Dec 31, 2004 32761.9 Dec 31, 2005 32920.8 Dec 31, 2006 33235.4 Dec 31, 2007 33797.3 Dec 31, 2008 33814.4 Dec 31, 2009 34697.1 Dec 31, 2010 34805.2 Dec 31, 2011 34477.9 Dec 31, 2012 34383.8 Dec 31, 2013 34747.2 Dec 31, 2014 35013.4 Dec 31, 2015 35489.1 Dec 31, 2016 36106.5 Dec 31, 2017 36662.5 Dec 31, 2018 37441

Vega-Lite specification:
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Chart description: Between 2010 and 2015 it takes a decrease before gradually increasing each time.

Chart data: Year GDP in million chained 2012 Canadian dollars Dec 31, 1999 29571.6 Dec 31, 2000 30377.3 Dec 31, 2001 31608.4 Dec 31, 2002 32018.4 Dec 31, 2003 32360 Dec 31, 2004 32761.9 Dec 31, 2005 32920.8 Dec 31, 2006 33235.4 Dec 31, 2007 33797.3 Dec 31, 2008 33814.4 Dec 31, 2009 34697.1 Dec 31, 2010 34805.2 Dec 31, 2011 34477.9 Dec 31, 2012 34383.8 Dec 31, 2013 34747.2 Dec 31, 2014 35013.4 Dec 31, 2015 35489.1 Dec 31, 2016 36106.5 Dec 31, 2017 36662.5 Dec 31, 2018 37441

Vega-Lite specification:
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Chart description: there is a trending down of fertility rates in germany.

Chart data: Year Fertility rate Dec 31, 1799 5.4 Dec 31, 1804 5.39 Dec 31, 1809 5.36 Dec 31, 1814 5.34 Dec 31, 1819 5.34 Dec 31, 1824 5.31 Dec 31, 1829 4.97 Dec 31, 1834 4.85 Dec 31, 1839 4.9 Dec 31, 1844 4.97 Dec 31, 1849 5.01 Dec 31, 1854 4.6 Dec 31, 1859 4.67 Dec 31, 1864 5 Dec 31, 1869 5.13 Dec 31, 1874 5.35 Dec 31, 1879 5.22 Dec 31, 1884 5.24 Dec 31, 1889 5.22 Dec 31, 1894 5.15 Dec 31, 1899 5.02 Dec 31, 1904 4.75 Dec 31, 1909 4.29 Dec 31, 1914 3.47 Dec 31, 1919 2.45 Dec 31, 1924 2.46 Dec 31, 1929 1.98 Dec 31, 1934 1.77 Dec 31, 1939 2.24 Dec 31, 1944 1.9 Dec 31, 1949 2.07 Dec 31, 1954 2.13 Dec 31, 1959 2.27 Dec 31, 1964 2.47 Dec 31, 1969 2.36 Dec 31, 1974 1.71 Dec 31, 1979 1.51 Dec 31, 1984 1.46 Dec 31, 1989 1.43 Dec 31, 1994 1.3 Dec 31, 1999 1.35 Dec 31, 2004 1.35 Dec 31, 2009 1.36 Dec 31, 2014 1.43 Dec 31, 2019 1.59

Vega-Lite specification:
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Chart description: Fertility rates have decreased between 1800 and 2000, going from above 5 to ~1.5. Fertility rates massively dropped following 1900. Although fertility rate decreased in most years, small spikes in fertility rate were seen following 1950 and ~1875.

Chart data: Year Fertility rate Dec 31, 1799 5.4 Dec 31, 1804 5.39 Dec 31, 1809 5.36 Dec 31, 1814 5.34 Dec 31, 1819 5.34 Dec 31, 1824 5.31 Dec 31, 1829 4.97 Dec 31, 1834 4.85 Dec 31, 1839 4.9 Dec 31, 1844 4.97 Dec 31, 1849 5.01 Dec 31, 1854 4.6 Dec 31, 1859 4.67 Dec 31, 1864 5 Dec 31, 1869 5.13 Dec 31, 1874 5.35 Dec 31, 1879 5.22 Dec 31, 1884 5.24 Dec 31, 1889 5.22 Dec 31, 1894 5.15 Dec 31, 1899 5.02 Dec 31, 1904 4.75 Dec 31, 1909 4.29 Dec 31, 1914 3.47 Dec 31, 1919 2.45 Dec 31, 1924 2.46 Dec 31, 1929 1.98 Dec 31, 1934 1.77 Dec 31, 1939 2.24 Dec 31, 1944 1.9 Dec 31, 1949 2.07 Dec 31, 1954 2.13 Dec 31, 1959 2.27 Dec 31, 1964 2.47 Dec 31, 1969 2.36 Dec 31, 1974 1.71 Dec 31, 1979 1.51 Dec 31, 1984 1.46 Dec 31, 1989 1.43 Dec 31, 1994 1.3 Dec 31, 1999 1.35 Dec 31, 2004 1.35 Dec 31, 2009 1.36 Dec 31, 2014 1.43 Dec 31, 2019 1.59

Vega-Lite specification:
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Chart description: wheat consumption was highest in china, the eu, and india. most of the countries in the bar chart had a seat consumption of under 20,000 metric tons.

Chart data: Country Consumption in thousand metric tons China 125000 European Union 123200 India 95629 Russia 40500 United States 30024 Pakistan 25300 Egypt 20100 Turkey 18100 Iran 16100 Brazil 12100 Algeria 10750 Morocco 10700 Indonesia 10600 Uzbekistan 9600 Canada 8862 Ukraine 8800

Vega-Lite specification:
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Chart description: As time increases, production of pineapple (in million metric tonnes) increases, showing a positive correlation. At 2007, there is a minor decrease in production, but this soon increases at the same steady rate.

Chart data: Year Production in million metric tons Dec 31, 2001 15.83 Dec 31, 2002 16.16 Dec 31, 2003 16.8 Dec 31, 2004 17.67 Dec 31, 2005 19.64 Dec 31, 2006 19.9 Dec 31, 2007 19.49 Dec 31, 2008 19.97 Dec 31, 2009 21.04 Dec 31, 2010 22.88 Dec 31, 2011 24.16 Dec 31, 2012 24.79 Dec 31, 2013 25.44 Dec 31, 2014 26.07 Dec 31, 2015 26.2 Dec 31, 2016 27.4 Dec 31, 2017 27.92

Vega-Lite specification:
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Chart description: There has been a modest increase in the number of Internet users in Canada between 2015 and 2020, rising from about 30 million to approximately 35 million. This increase is projected to taper off between 2021 and 2025, with a gain of only 3 million during this time period.

Chart data: Number of internet users in millions Year 34.72 2025* 34.41 2024* 34.08 2023* 33.74 2022* 33.38 2021* 33 2020 32.58 2019 32.14 2018 31.65 2017 31.11 2016 30.51 2015

Vega-Lite specification:
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Chart description: The bar graph above shows that from 2015 - 2025, the total number of Internet users in Canada has increased every single year.

Chart data: Number of internet users in millions Year 34.72 2025* 34.41 2024* 34.08 2023* 33.74 2022* 33.38 2021* 33 2020 32.58 2019 32.14 2018 31.65 2017 31.11 2016 30.51 2015

Vega-Lite specification:
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Chart description: Vending machine coffee received no votes for which hot beverage is drank the most by someone. The most popular was tea followed by instant coffee.

Chart data: Share of respondents Response 0.44 Tea 0.21 Instant coffee 0.07 Ground coffee 0.07 Hot chocolate 0.06 Green tea 0.05 Premium instant coffee* 0.04 Fruit/herbal tea 0.04 Coffee from pods 0.02 Coffee from a coffee shop 0 Vending machine coffee

Vega-Lite specification:
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Chart description: Between 2005 and 2020 the population of Indonesia in urban areas has increased by 50%.

Chart data: Year Urban population in thousands Dec 31, 2004 104156 Dec 31, 2005 107421 Dec 31, 2006 110752 Dec 31, 2007 114148 Dec 31, 2008 117597 Dec 31, 2009 121053 Dec 31, 2010 124315 Dec 31, 2011 127618 Dec 31, 2012 130944 Dec 31, 2013 134288 Dec 31, 2014 137635 Dec 31, 2015 140973 Dec 31, 2016 144295 Dec 31, 2017 147603 Dec 31, 2018 150900 Dec 31, 2019 154188

Vega-Lite specification:
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Chart description: From 2005 until 2020 the population has increased sharply. From just over 1oo,ooo thousand in 2005 the population has increased to over 150,000 thousand in 2020.

Chart data: Year Urban population in thousands Dec 31, 2004 104156 Dec 31, 2005 107421 Dec 31, 2006 110752 Dec 31, 2007 114148 Dec 31, 2008 117597 Dec 31, 2009 121053 Dec 31, 2010 124315 Dec 31, 2011 127618 Dec 31, 2012 130944 Dec 31, 2013 134288 Dec 31, 2014 137635 Dec 31, 2015 140973 Dec 31, 2016 144295 Dec 31, 2017 147603 Dec 31, 2018 150900 Dec 31, 2019 154188

Vega-Lite specification:
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Chart description: Athletics is the sport with the highest number of doping cases internationally followed by American sports and Cycling. Motorsports and cricket both have the least cases of doping.

Chart data: Number of doping cases type of sport 971 Athletics* 500 American sports 227 Cycling 67 Combat sports 46 Winter sports 42 Power sports 37 Water sports 28 Football 22 Racquet sports 21 Rugby 16 other 9 Animal sports 6 Motor sports 6 Cricket

Vega-Lite specification:
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Chart description: From 2012 to 2016, Badminton participants remains at a steady seven million.

Chart data: Year Number of participants in millions Dec 31, 2005 5.98 Dec 31, 2006 7.06 Dec 31, 2007 7.24 Dec 31, 2008 7.7 Dec 31, 2009 7.59 Dec 31, 2010 6.68 Dec 31, 2011 7.88 Dec 31, 2012 7.15 Dec 31, 2013 7.18 Dec 31, 2014 7.2 Dec 31, 2015 7.35 Dec 31, 2016 6.43

Vega-Lite specification:
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Chart description: Infant mortality has decreased over the years, there seems to be a large mortality spike in 2010.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 60.2 Dec 31, 2009 85.4 Dec 31, 2010 57.8 Dec 31, 2011 56.6 Dec 31, 2012 55.5 Dec 31, 2013 54.3 Dec 31, 2014 53.2 Dec 31, 2015 51.9 Dec 31, 2016 50.7 Dec 31, 2017 49.4 Dec 31, 2018 48.2

Vega-Lite specification:
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Chart description: There was a sharp upward trend from 2009 to 2010 and then a sharp downward trend in 2011.  Since 2011, numbers of infant mortality have continued to fall each year.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 60.2 Dec 31, 2009 85.4 Dec 31, 2010 57.8 Dec 31, 2011 56.6 Dec 31, 2012 55.5 Dec 31, 2013 54.3 Dec 31, 2014 53.2 Dec 31, 2015 51.9 Dec 31, 2016 50.7 Dec 31, 2017 49.4 Dec 31, 2018 48.2

Vega-Lite specification:
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Chart description: Revenue has increased thought out the years. In comparison 2005 had £150 mill revenue and 2015 had £450Million.

Chart data: Year Revenue in million U.S. dollars Dec 31, 2000 145 Dec 31, 2001 159 Dec 31, 2002 170 Dec 31, 2003 190 Dec 31, 2004 194 Dec 31, 2005 215 Dec 31, 2006 232 Dec 31, 2007 242 Dec 31, 2008 247 Dec 31, 2009 253 Dec 31, 2010 265 Dec 31, 2011 268 Dec 31, 2012 281 Dec 31, 2013 322 Dec 31, 2014 359 Dec 31, 2015 376 Dec 31, 2016 414 Dec 31, 2017 443 Dec 31, 2018 461

Vega-Lite specification:
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Chart description: Nigeria and Pakistani spend the most of their disposable income on food. United States spends the least of their disposable income on food.

Chart data: Expenditure share Country 0.567 Nigeria 0.481 Pakistan 0.296 India 0.251 Mexico 0.12 Germany 0.118 Netherlands 0.095 Canada 0.093 United Kingdom 0.089 Switzerland 0.067 United States

Vega-Lite specification:
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Chart description: Nigeria spent the most of disposable income on food whereas the US spent the least.

Chart data: Expenditure share Country 0.567 Nigeria 0.481 Pakistan 0.296 India 0.251 Mexico 0.12 Germany 0.118 Netherlands 0.095 Canada 0.093 United Kingdom 0.089 Switzerland 0.067 United States

Vega-Lite specification:
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Chart description: From 2010 the spending increased by larger amounts each year. From 2004 to 2009 the spending increased in relatively small amounts.

Chart data: Year Spending in million U.S. dollars 2018** 1457.5 2017** 1331.4 2016** 1216.5 2015* 1107.6 2014* 1000.8 2013 859.9 2012 702.6 2011 601.8 2010 558.2 2009 521 2008 461.8 2007 400.2 2006 342.6 2005 248.1 2004 262.9

Vega-Lite specification:
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Chart description: Alianz employees are slowly starting to increase after a big decrease in 2008.

Chart data: Year Number of employees in thousands Dec 31, 2004 177.63 Dec 31, 2005 166.51 Dec 31, 2006 181.21 Dec 31, 2007 182.87 Dec 31, 2008 153.2 Dec 31, 2009 151.34 Dec 31, 2010 141.94 Dec 31, 2011 144.09 Dec 31, 2012 147.63 Dec 31, 2013 147.43 Dec 31, 2014 142.46 Dec 31, 2015 140.25 Dec 31, 2016 140.55 Dec 31, 2017 142.46 Dec 31, 2018 147.27

Vega-Lite specification:
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Chart description: The sharpest decline of employees at the Allianz Group was from 2008 and 2009.

Chart data: Year Number of employees in thousands Dec 31, 2004 177.63 Dec 31, 2005 166.51 Dec 31, 2006 181.21 Dec 31, 2007 182.87 Dec 31, 2008 153.2 Dec 31, 2009 151.34 Dec 31, 2010 141.94 Dec 31, 2011 144.09 Dec 31, 2012 147.63 Dec 31, 2013 147.43 Dec 31, 2014 142.46 Dec 31, 2015 140.25 Dec 31, 2016 140.55 Dec 31, 2017 142.46 Dec 31, 2018 147.27

Vega-Lite specification:
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Chart description: In Poland there are more clothing retail stores than other retail chains this includes food which is one of the lesser amounts of retail offered.

Chart data: Number of retail chains sector 57 Fashion & Clothing 28 Footwear & Leather 26 Furniture & Decoration 25 Food 24 Personal Care 20 Home Ware 19 Consumer Electronics 14 Car Parts & Accessories 13 Sport & Leisure 13 DIY & Gardening 12 Telecom 12 Petrol 12 Toys & Games 10 Jewelry & Watches 10 Baby Ware 10 Books & Magazines 8 Optical 5 Pet Care

Vega-Lite specification:
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