delen/vistext huggingface dataset:
Chart description: Average annual household expenditures in New Brunswick, Canada in 2017 show that Shelter is the expenditure, followed by Transportation, Income Taxes and Food.

Chart data: Average expenditure in Canadian dollars household expenditure  12692 Shelter 12155 Transportation 11708 Income taxes 7634 Food expenditures 4757 Household operations 4621 Personal insurance payments and pension contributions 3302 Recreation 2715 Clothing and accessories 2640 Health care 1949 Household furnishings and equipment 1893 Gifts of money, support payments and charitable contributions 1324 Miscellaneous expenditures 1237 Tobacco products and alcoholic beverages 995 Personal care 841 Education 210 Games of chance 159 Reading materials and other printed matter

Vega-Lite specification:
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Chart description: Since 2008 there has been a steady increase in the number of visitors to Sweden.

Chart data: Year Number of arrivals in millions Dec 31, 2006 23.1 Dec 31, 2007 22.5 Dec 31, 2008 22.8 Dec 31, 2009 23.4 Dec 31, 2010 23.8 Dec 31, 2011 23.9 Dec 31, 2012 24.6 Dec 31, 2013 25.9 Dec 31, 2014 28.1 Dec 31, 2015 29.1 Dec 31, 2016 29.9

Vega-Lite specification:
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Chart description: The bar chart shows that the US had by far the greatest number of ransom ware detections followed by Japan and Italy. All,other countries shown had roughly the same level of infections.

Chart data: Share of infections Response 0.29 United States 0.09 Japan 0.08 Italy 0.04 India 0.04 Germany 0.03 Netherlands 0.03 United Kingdom 0.03 Australia 0.03 Russia 0.03 Canada

Vega-Lite specification:
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Chart description: The state in Mexico that has the most number of new jobs created is Jalisco. It has created almost 40,000 new jobs. The state in Mexico that has the lowest number of new jobs created is Tabasco.

Chart data: Number of jobs state of Mexico 38226 Jalisco 36775 Nuevo Leon 32735 Ciudad de Mexico 29759 Guanajuato 29645 Baja California 28532 State of Mexico 27325 Queretaro 21538 Quintana Roo 20960 Chihuahua 19364 Sonora 18805 San Luis Potosí 17087 Tamaulipas 15805 Coahuila 13676 Michoacan 10955 Puebla 8317 Aguascalientes 6739 Baja California Sur 5546 Yucatan 5469 Hidalgo 5415 Sinaloa 4025 Tlaxcala 3538 Veracruz 3017 Colima 2993 Nayarit 2751 Zacatecas 1259 Durango 887 Oaxaca −890 Morelos −1055 Chiapas −1403 Guerrero −1405 Campeche −1931 Tabasco

Vega-Lite specification:
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Chart description: Of the many characteristics looked at, dominance had the least share of respondents at well below 0.1. The most common was open-mindedness at almost 0.4. Confidence and optimism were in equal second place at 0.29. Passive was second last at 0.09. The range was approximately 0.08 to 0.39. 19 characteristics were included.

Chart data: Response Share of respondents Open-minded 0.39 Confident 0.29 Optimistic 0.29 Enthusiastic 0.24 Outgoing 0.23 Ambitious 0.21 Insecure 0.21 Impulsive 0.19 Energetic 0.18 Impatient 0.16 Naive 0.13 Sensitive 0.13 Objective 0.12 Dependable 0.11 Self-centered 0.1 Tolerant 0.1 Passive 0.09 Dominant 0.08 None of the above 0.16

Vega-Lite specification:
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Chart description: 2014 has the highest annual turnover at 399 million euros. 2008 has the lowest annual turnover at around 160 million euros. There is a gradually increase in turnover between 2008-2012, then the turnover remains the same in 2013. There is a huge spike in turnover between 2013 and 2014 at around 160 million euros. Then there us a decrease by around 99 million euro between 2014 and 2015. From 2015 to 2018 there is a gradually increase.

Chart data: Year Annual turnover in million euros 2018* 395.7 2017* 353.3 2016 309.8 2015 299.8 2014 396.8 2012 264.8 2011 263.5 2010 237.4 2009 195.9 2008 160.1

Vega-Lite specification:
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Chart description: The main materials used in phones is aluminium, plastics, copper and battery. These materials make up the car, battery and and wiring of a phone.

Chart data: common materials used in a smartphone Content in grams per smartphone Aluminium (case) 22.18 Copper (wiring) 15.12 Plastics (case) 9.53 Cobalt (battery) 5.38 Tungsten (vibration) 0.44 Silver (solder, PCB*) 0.31 Neodymium (speaker magnet) 0.05 Gold (PCB) 0.03 Indium (display) 0.01 Palladium (PCB) 0.01

Vega-Lite specification:
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Chart description: hepatitis is the highest percentage cause of death due to drugs.

Chart data: Percentage of deaths attributable to drug use Response 0.307 Hepatitis C, cirrhosis and other chronic liver diseases 0.191 Opioid use disorders 0.138 Hepatitis C, liver cancer 0.118 HIV/AIDS resulting in other diseases 0.096 Other drug use disorders 0.083 Self-harm 0.023 HIV/AIDS - tuberculosis 0.019 Cocaine use disorders 0.013 Other 0.012 Amphetamine use disorders

Vega-Lite specification:
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Chart description: The European banks appear to have the highest values.  Surprisingly the difference between the lowest and highest values were great.  I did not expect that banks valued at just 2 billion would compete with a bank valued at 8 million.

Chart data: Deal value in billion U.S. dollars banks 8.22 Santander/Banco Popular (2017) 7.19 Deutsche Bank/Deutsche Postbank (2011) 6.13 CaixaBank/Banca Civica (2012) 3.52 DZ Bank/WGZ Bank (2016) 3.28 Bank of Cyprus/Cyprus Popular Bank (2013) 3.25 BBVA/Catalunya Bank (2015) 3.19 Kutxabank/BBK, Kutxa and Vital merger (2012) 3.18 Banco Sabadell/Banco Cam (2012) 2.9 Caixabank/BPI (2017) 2.84 Alpha Bank/Emporiki Bank (2013) 2.7 Caixabank/Banco de Valencia (2013) 2.62 Banco Popular/Banco Pastor (2011) 2.48 Banco de Sabadell/TSB Banking Group (2015) 2 Caixabank/Barclays Bank Spain (2014) 1.93 Sberbank/Denizbank (2012)

Vega-Lite specification:
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Chart description: Santander Bank has the highest deal value. The value of the largest bank merger and acquisition (M & A) deals in Europe between 2011 and 2017 (in billion U.S. dollars) ranges from 2 billion to 8 billion.

Chart data: Deal value in billion U.S. dollars banks 8.22 Santander/Banco Popular (2017) 7.19 Deutsche Bank/Deutsche Postbank (2011) 6.13 CaixaBank/Banca Civica (2012) 3.52 DZ Bank/WGZ Bank (2016) 3.28 Bank of Cyprus/Cyprus Popular Bank (2013) 3.25 BBVA/Catalunya Bank (2015) 3.19 Kutxabank/BBK, Kutxa and Vital merger (2012) 3.18 Banco Sabadell/Banco Cam (2012) 2.9 Caixabank/BPI (2017) 2.84 Alpha Bank/Emporiki Bank (2013) 2.7 Caixabank/Banco de Valencia (2013) 2.62 Banco Popular/Banco Pastor (2011) 2.48 Banco de Sabadell/TSB Banking Group (2015) 2 Caixabank/Barclays Bank Spain (2014) 1.93 Sberbank/Denizbank (2012)

Vega-Lite specification:
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Chart description: The information is displayed per bank. The information does not show variations year on year. It assumes that each bank has been merged/acquired at the same timeThe value axis is only shown whole billions and may therefore be inaccurate as several banks have similar values.

Chart data: Deal value in billion U.S. dollars banks 8.22 Santander/Banco Popular (2017) 7.19 Deutsche Bank/Deutsche Postbank (2011) 6.13 CaixaBank/Banca Civica (2012) 3.52 DZ Bank/WGZ Bank (2016) 3.28 Bank of Cyprus/Cyprus Popular Bank (2013) 3.25 BBVA/Catalunya Bank (2015) 3.19 Kutxabank/BBK, Kutxa and Vital merger (2012) 3.18 Banco Sabadell/Banco Cam (2012) 2.9 Caixabank/BPI (2017) 2.84 Alpha Bank/Emporiki Bank (2013) 2.7 Caixabank/Banco de Valencia (2013) 2.62 Banco Popular/Banco Pastor (2011) 2.48 Banco de Sabadell/TSB Banking Group (2015) 2 Caixabank/Barclays Bank Spain (2014) 1.93 Sberbank/Denizbank (2012)

Vega-Lite specification:
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Chart description: Production of diamonds in million carats seems to steadily increase from 2014 to 2016, going from approximately 6.1 to 9.2 million carats. Fluctuation of the production of diamonds in million carats seems to be little from 2010 to 2016.

Chart data: Year Production in million carats Dec 31, 2003 6.1 Dec 31, 2004 7.1 Dec 31, 2005 9.2 Dec 31, 2006 9.7 Dec 31, 2007 8.9 Dec 31, 2008 9.2 Dec 31, 2009 8.4 Dec 31, 2010 8.3 Dec 31, 2011 8.3 Dec 31, 2012 8.6 Dec 31, 2013 8.8 Dec 31, 2014 9 Dec 31, 2015 9 Dec 31, 2016 9.4 Dec 31, 2017 8.4 Dec 31, 2018 9.1

Vega-Lite specification:
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Chart description: Lego is the most popular brand among those questioned. No retail brands had a 100% positive response. No retail brands had a 0% positive response.

Chart data: Share of respondents with a positive opinion Response 0.81 Lego 0.75 Argos 0.71 Waterstones 0.62 B&M 0.62 The Co-operative Group 0.61 Poundland 0.61 Specsavers 0.6 The Lego Store 0.6 HMV 0.59 Home Bargains

Vega-Lite specification:
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Chart description: Most of the companies have quite similar scores, of around 0.6, with only Argos, Lego and Waterstones going above that. Lego has the highest opinion score.

Chart data: Share of respondents with a positive opinion Response 0.81 Lego 0.75 Argos 0.71 Waterstones 0.62 B&M 0.62 The Co-operative Group 0.61 Poundland 0.61 Specsavers 0.6 The Lego Store 0.6 HMV 0.59 Home Bargains

Vega-Lite specification:
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Chart description: Shows that China might need to implement a birth control measure as the number of elders is growing rapidly each year which could mean they outweigh the younger generations which might not be good for economic growth.

Chart data: Year Population aged 60 and over in millions Dec 31, 1949 41.11 Dec 31, 1959 40.92 Dec 31, 1969 51.42 Dec 31, 1979 74.9 Dec 31, 1989 99.94 Dec 31, 1999 129.46 Dec 31, 2009 167 Dec 31, 2019 249.78 Dec 31, 2029 363.55 Dec 31, 2039 433.52 Dec 31, 2049 485.49 Dec 31, 2059 478.53 Dec 31, 2069 454.27 Dec 31, 2079 441.71 Dec 31, 2089 419.57 Dec 31, 2099 402.78

Vega-Lite specification:
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Chart description: Hypertension is the most dangerous risk to health, proceeding many other noted risks by over 100%.

Chart data: Deaths in millions Most dangerous health risks 7.5 Hypertension 5.1 Tobacco use 3.4 High blood sugar 3.2 Lack of exercise 2.8 Overweight 2.6 High cholesterol 2.4 Unprotected Sex 2.3 Alcohol consumption 2.2 Underweight children 2 Smoke from indoor fires

Vega-Lite specification:
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Chart description: This highlights of hypertension is the dangerous health risk across the world 2004 while the second and third highest Our tobacco use and high blood sugar, where at all the other measures are around the same level.

Chart data: Deaths in millions Most dangerous health risks 7.5 Hypertension 5.1 Tobacco use 3.4 High blood sugar 3.2 Lack of exercise 2.8 Overweight 2.6 High cholesterol 2.4 Unprotected Sex 2.3 Alcohol consumption 2.2 Underweight children 2 Smoke from indoor fires

Vega-Lite specification:
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Chart description: Germany has depositied the largest amount of cash, closely followed by France and then Italy. Estonia and Malta have deposited the least amount of money.

Chart data: Cash amount (in billion euros) Country 21.7 Germany 16.3 France 14.3 Italy 9.5 Spain 4.6 Netherlands 2.8 Belgium 2.3 Greece 2.2 Austria 2 Portugal 1.4 Finland 1.3 Ireland 0.7 Slovakia 0.3 Slovenia 0.2 Luxembourg 0.2 Cyprus 0.1 Estonia 0.1 Malta

Vega-Lite specification:
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Chart description: By far, the largest contributors to the ESM are Germany, France and Italy, then Spain, with Germany paying in the largest amount at just over 20 billion Euros.

Chart data: Cash amount (in billion euros) Country 21.7 Germany 16.3 France 14.3 Italy 9.5 Spain 4.6 Netherlands 2.8 Belgium 2.3 Greece 2.2 Austria 2 Portugal 1.4 Finland 1.3 Ireland 0.7 Slovakia 0.3 Slovenia 0.2 Luxembourg 0.2 Cyprus 0.1 Estonia 0.1 Malta

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Chart description: Germany has deposited the most amount of cash, followed by France and Italy. Estonia, Malta, Cyprus, and Luxembourg have deposited the least amount of cash.

Chart data: Cash amount (in billion euros) Country 21.7 Germany 16.3 France 14.3 Italy 9.5 Spain 4.6 Netherlands 2.8 Belgium 2.3 Greece 2.2 Austria 2 Portugal 1.4 Finland 1.3 Ireland 0.7 Slovakia 0.3 Slovenia 0.2 Luxembourg 0.2 Cyprus 0.1 Estonia 0.1 Malta

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Chart description: The growth has been steady and consistent over the year, with no declines. The average revenue increase from 2008 and upwards has been 200 additional billion yuan every two years. The growth on the first years isn't as significant.

Chart data: Year Revenue in billion yuan Dec 31, 2001 75.9 Dec 31, 2002 91.1 Dec 31, 2003 132.7 Dec 31, 2004 178.5 Dec 31, 2005 236.4 Dec 31, 2006 303 Dec 31, 2007 325.6 Dec 31, 2008 425.9 Dec 31, 2009 553.1 Dec 31, 2010 673.9 Dec 31, 2011 777.2 Dec 31, 2012 886.4 Dec 31, 2013 990.65 Dec 31, 2014 1047.18 Dec 31, 2015 1165.19 Dec 31, 2016 1206.72

Vega-Lite specification:
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Chart description: Non competitive pricing is the biggest reason for consumers switching brands/companies.

Chart data: Share of respondents Response 0.24 Non-competitive pricing 0.22 Incorrect billing 0.21 Products/services not meeting my needs 0.21 Irresponsive to requests/complaints 0.21 Bad services at the store/outlet 0.19 Difficult return/refund policies 0.17 Bad online services 0.16 Mistake on purchase 0.12 Difficult to locate products/services 0.08 Non-personalised communications 0.07 Bad mobile app

Vega-Lite specification:
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Chart description: There is no clear pattern, however the thing which causes most people to switch to a different grocery provider is non competitive pricing.

Chart data: Share of respondents Response 0.24 Non-competitive pricing 0.22 Incorrect billing 0.21 Products/services not meeting my needs 0.21 Irresponsive to requests/complaints 0.21 Bad services at the store/outlet 0.19 Difficult return/refund policies 0.17 Bad online services 0.16 Mistake on purchase 0.12 Difficult to locate products/services 0.08 Non-personalised communications 0.07 Bad mobile app

Vega-Lite specification:
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