delen/vistext huggingface dataset:
Chart description: The graph shows the biggest sales were for health and hygiene. The lowest was for restaurants and eating out, travel and insurance. The next lowest was for childcare which is understandable because people were unable to go out and eat, travel and a lot of people were furloghed or worked from home. The next highest was food and drink deliveries,  home entertainment and cleaning.

Chart data: Response Germany Health and hygiene (e.g. medicine, hand sanitizer) 0.33 Household cleaning products 0.18 Food and drinks (e.g. shopping, takeaways, delivery) 0.22 Home entertainment (e.g. video, games, books) 0.2 Hobbies 0.1 Housing, energy, maintenance (e.g. electricity, waste disposal, DIY) 0.11 Consumer electronics, household appliances, furniture 0.08 Clothing 0.04 Investments 0.05 Going out (e.g. restaurants, cinemas, pubs / bars) 0.02 Insurance 0.02 Childcare 0.03 Services (e.g. hairdresser) 0.05 Travel (e.g. public transport, vacations) 0.02

Vega-Lite specification:
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Chart description: The bar chart shows that the category that people are spending more on during the coronavirus pandemic is health and hygiene. The categories that people are spending the least on are going out, insurance and travel.

Chart data: Response Germany Health and hygiene (e.g. medicine, hand sanitizer) 0.33 Household cleaning products 0.18 Food and drinks (e.g. shopping, takeaways, delivery) 0.22 Home entertainment (e.g. video, games, books) 0.2 Hobbies 0.1 Housing, energy, maintenance (e.g. electricity, waste disposal, DIY) 0.11 Consumer electronics, household appliances, furniture 0.08 Clothing 0.04 Investments 0.05 Going out (e.g. restaurants, cinemas, pubs / bars) 0.02 Insurance 0.02 Childcare 0.03 Services (e.g. hairdresser) 0.05 Travel (e.g. public transport, vacations) 0.02

Vega-Lite specification:
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Chart description: Most of the lowest categories involve things outside of the house: going out, travel, and childcare. As expected, health and cleanliness were among the top categories.

Chart data: Response Germany Health and hygiene (e.g. medicine, hand sanitizer) 0.33 Household cleaning products 0.18 Food and drinks (e.g. shopping, takeaways, delivery) 0.22 Home entertainment (e.g. video, games, books) 0.2 Hobbies 0.1 Housing, energy, maintenance (e.g. electricity, waste disposal, DIY) 0.11 Consumer electronics, household appliances, furniture 0.08 Clothing 0.04 Investments 0.05 Going out (e.g. restaurants, cinemas, pubs / bars) 0.02 Insurance 0.02 Childcare 0.03 Services (e.g. hairdresser) 0.05 Travel (e.g. public transport, vacations) 0.02

Vega-Lite specification:
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Chart description: The trends show that areas such as investments, insurance etc spend remained low as a result of the pandemic.

Chart data: United Kingdom Response 0.36 Health and hygiene (e.g. medicine, hand sanitizer) 0.3 Household cleaning products 0.32 Food and drinks (e.g. shopping, takeaways, delivery) 0.21 Home entertainment (e.g. video, games, books) 0.16 Hobbies 0.25 Housing, energy, maintenance (e.g. electricity, waste disposal, DIY) 0.07 Consumer electronics, household appliances, furniture 0.05 Clothing 0.05 Investments 0.01 Going out (e.g. restaurants, cinemas, pubs / bars) 0.02 Insurance 0.03 Childcare 0.02 Services (e.g. hairdresser) 0.01 Travel (e.g. public transport, vacations)

Vega-Lite specification:
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Chart description: Facebook and YouTube are the most popular platforms. Periscope has the lowest share.

Chart data: Q3 2019 Platform 0.68 YouTube 0.71 Facebook 0.46 Instagram 0.35 Twitter 0.32 Pinterest 0.28 LinkedIn 0.17 Reddit 0.23 Snapchat 0.13 WhatsApp 0.08 Tumblr 0.01 Periscope

Vega-Lite specification:
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Chart description: Between 2007 and 2013 we see some fluctuations year on year in number of venture capital funds in the UK. During this period there seems to be a trend of increasing one year (e.g. from 8 in 2007 to 11 in 2008) and decreasing the next (e.g from 11 in 2008 to 7 in 2009). The overall trend during this period however is a gradual decline in funds. We then see a huge increase in 2014 where the number spikes at 14, before reapidly declining with only 2 funds in the UK in 2016.

Chart data: Year Early stage Dec 31, 2006 8 Dec 31, 2007 11 Dec 31, 2008 7 Dec 31, 2009 10 Dec 31, 2010 6 Dec 31, 2011 9 Dec 31, 2012 9 Dec 31, 2013 14 Dec 31, 2014 7 Dec 31, 2015 2

Vega-Lite specification:
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Chart description: 2014 saw the highest number of funds at 14. 2011 saw the lowest number of funds at less than 6. After 2014, there is a noticeable sharp drop-off in funds. There was no change between 2012 and 2013. Overall, the data gives an erratic, fluctuating picture of these funds.

Chart data: Year Early stage Dec 31, 2006 8 Dec 31, 2007 11 Dec 31, 2008 7 Dec 31, 2009 10 Dec 31, 2010 6 Dec 31, 2011 9 Dec 31, 2012 9 Dec 31, 2013 14 Dec 31, 2014 7 Dec 31, 2015 2

Vega-Lite specification:
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Chart description: The age span of the study basically covers the Liberian population of working age. Around 2010, this segment of the population of Liberia represented around 52% of the general population.Over the ten year period since then, it has consistently grown on an annual basis to around 57%-58%. The  population of Liberia of working age, therefore, is consistently growing which means that the economically productive population is expanding.

Chart data: Year 15-64 years Dec 31, 2008 0.5352 Dec 31, 2009 0.5362 Dec 31, 2010 0.5372 Dec 31, 2011 0.5388 Dec 31, 2012 0.5412 Dec 31, 2013 0.5441 Dec 31, 2014 0.5473 Dec 31, 2015 0.55 Dec 31, 2016 0.553 Dec 31, 2017 0.5562 Dec 31, 2018 0.5596

Vega-Lite specification:
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Chart description: By far the largest band is that of 1 million to 1.9999 million. This is followed by 2 million to 4.9999 million. Taken together this means that between 1 million and 4.9999 million accounts for the majority of the business bands.

Chart data: 2019 Turnover in GBP 85 £0 - £49,999 245 £50,000 - £99,999 335 £100,000 - £249,999 285 £250,000 - £499,999 510 £500,000 - £999,999 1020 £1 million - £1.999 million 770 £2 million - £4.999 million 165 £5 million - £9.999 million 115 £10 million - £49.999 million 15 £50 million+

Vega-Lite specification:
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Chart description: Most enterprises have 1-1.999 million turnover followed by 2-4.999 million turnover and 500000 to 999999 turnover.

Chart data: Turnover in GBP 2020 £0 - £49,99  65; Turnover in GBP: £0 - £49,999 £50,000 - £99,99  240; Turnover in GBP: £50,000 - £99,999 £100,000 - £249,99  280; Turnover in GBP: £100,000 - £249,999 £250,000 - £499,99  300; Turnover in GBP: £250,000 - £499,999 £500,000 - £999,99  450; Turnover in GBP: £500,000 - £999,999 £1 million - £1.999 millio  950; Turnover in GBP: £1 million - £1.999 million £2 million - £4.999 millio  865; Turnover in GBP: £2 million - £4.999 million £5 million - £9.999 millio  195; Turnover in GBP: £5 million - £9.999 million £10 million - £49.999 millio  115; Turnover in GBP: £10 million - £49.999 million £50 million  20; Turnover in GBP: £50 million+

Vega-Lite specification:
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Chart description: Overall in the over the 10 years no change really.

Chart data: Year Exports Dec 31, 2006 341.6 Dec 31, 2007 410.2 Dec 31, 2008 395.5 Dec 31, 2009 480.8 Dec 31, 2010 502.3 Dec 31, 2011 468.9 Dec 31, 2012 430.1 Dec 31, 2013 426.4 Dec 31, 2014 385 Dec 31, 2015 347.9 Dec 31, 2016 373.5 Dec 31, 2017 379.4 Dec 31, 2018 373

Vega-Lite specification:
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Chart description: The chart shows that the export volume rose from 350 million dollars to 500 in 2011. But it fallen back to 350 million USD in 2016 and started rising up again but not very significant. 2011 had a pick of the exportation with the highest volume while 2016 experienced the lowest product exportation volume.

Chart data: Year Exports Dec 31, 2006 341.6 Dec 31, 2007 410.2 Dec 31, 2008 395.5 Dec 31, 2009 480.8 Dec 31, 2010 502.3 Dec 31, 2011 468.9 Dec 31, 2012 430.1 Dec 31, 2013 426.4 Dec 31, 2014 385 Dec 31, 2015 347.9 Dec 31, 2016 373.5 Dec 31, 2017 379.4 Dec 31, 2018 373

Vega-Lite specification:
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Chart description: In 1980 the population of Africa was 500 million. In 2006 the population of Africa was a billion.

Chart data: Year Africa Dec 31, 1949 228.7 Dec 31, 1954 254 Dec 31, 1959 285.1 Dec 31, 1964 322.5 Dec 31, 1969 366.5 Dec 31, 1974 417.9 Dec 31, 1979 480 Dec 31, 1984 552.8 Dec 31, 1989 634.6 Dec 31, 1994 722.9 Dec 31, 1999 817.6 Dec 31, 2004 924.8 Dec 31, 2009 1049.4 Dec 31, 2014 1194.3 Dec 31, 2019 1352.6

Vega-Lite specification:
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Chart description: There shows a steady incline in population growth from 1950 to 2010. There is very little information on the graph in terms of intervals, so any data that can be read can only be interpreted as estimates. An estimate in growth from 1950 to 2010 would be around 200 million.

Chart data: Year Europe Dec 31, 1949 549.4 Dec 31, 1954 577.1 Dec 31, 1959 605.9 Dec 31, 1964 635.3 Dec 31, 1969 657.4 Dec 31, 1974 677.6 Dec 31, 1979 694.2 Dec 31, 1984 708.2 Dec 31, 1989 721.7 Dec 31, 1994 728.1 Dec 31, 1999 727.2 Dec 31, 2004 730.3 Dec 31, 2009 737.2 Dec 31, 2014 740.8 Dec 31, 2019 743.4

Vega-Lite specification:
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Chart description: There is a linear positive relationship between the progressive years and the population of North America. As the years go on, the population of North America steadily increases.

Chart data: Year North America Dec 31, 1949 172.6 Dec 31, 1954 187.6 Dec 31, 1959 204.8 Dec 31, 1964 219.6 Dec 31, 1969 231.1 Dec 31, 1974 242.5 Dec 31, 1979 254.4 Dec 31, 1984 266.8 Dec 31, 1989 280.3 Dec 31, 1994 295.1 Dec 31, 1999 312.8 Dec 31, 2004 327.5 Dec 31, 2009 342.9 Dec 31, 2014 356 Dec 31, 2019 369.2

Vega-Lite specification:
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Chart description: West Coast airlines had the most non-stop bookings. New York had the least.

Chart data: main underserved airline routes Non-stop bookings Boston (BOS) - Orlando (MCO) 713189 Boston (BOS) - Las Vegas (LAS) 285224 Orlando (MCO) - Seattle/Tacoma (SEA) 124628 Boston (BOS) - San Francisco (SFO) 1011472 Boston (BOS) - Los Angeles (LAX) 928078 Boston (BOS) - Tampa (TPA) 325465 Los Angeles (LAX) - Philadelphia (PHL) 257174 Las Vegas (LAS) - Orlando (MCO) 272746 Atlanta (ATL) - Los Angeles (LAX) 784512 Los Angeles (LAX) - New York La Guardia (LGA) 11507

Vega-Lite specification:
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Chart description: The most underserved routes were Atlanta / Los Angeles and Los Angeles / New York. Boston - Orlando (MCO) was the highest underserved route at over 200,000 one-stop bookings.

Chart data: One-stop bookings main underserved airline routes 209558 Boston (BOS) - Orlando (MCO) 203599 Boston (BOS) - Las Vegas (LAS) 199336 Orlando (MCO) - Seattle/Tacoma (SEA) 177621 Boston (BOS) - San Francisco (SFO) 168790 Boston (BOS) - Los Angeles (LAX) 168627 Boston (BOS) - Tampa (TPA) 165659 Los Angeles (LAX) - Philadelphia (PHL) 163481 Las Vegas (LAS) - Orlando (MCO) 162698 Atlanta (ATL) - Los Angeles (LAX) 159051 Los Angeles (LAX) - New York La Guardia (LGA)

Vega-Lite specification:
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Chart description: it seems to be pretty constant in the overall weight of german aircraft on take off.

Chart data: Year 5.7 to 14 tons Dec 31, 2006 200 Dec 31, 2007 224 Dec 31, 2008 231 Dec 31, 2009 228 Dec 31, 2010 236 Dec 31, 2011 217 Dec 31, 2012 199 Dec 31, 2013 207 Dec 31, 2014 191 Dec 31, 2015 211 Dec 31, 2016 219 Dec 31, 2017 216 Dec 31, 2018 223

Vega-Lite specification:
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Chart description: The frequency of planes with a take of weight of 5.7 to 14 tons tens to be around the 200 mark each year, sometimes dipping slightly below and sometimes rising a bit above. There appears to be no consistent trend over the 10 years depicted on this graph but it is possible the the number is projected to increase in the future.

Chart data: Year 5.7 to 14 tons Dec 31, 2006 200 Dec 31, 2007 224 Dec 31, 2008 231 Dec 31, 2009 228 Dec 31, 2010 236 Dec 31, 2011 217 Dec 31, 2012 199 Dec 31, 2013 207 Dec 31, 2014 191 Dec 31, 2015 211 Dec 31, 2016 219 Dec 31, 2017 216 Dec 31, 2018 223

Vega-Lite specification:
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Chart description: Spending has increased overall since 2006, peaking in 2010 and returning to that peak in 2014.

Chart data: Year Total IT spending Dec 31, 2005 66.2 Dec 31, 2006 68.2 Dec 31, 2007 72.8 Dec 31, 2008 76.1 Dec 31, 2009 80.7 Dec 31, 2010 76 Dec 31, 2011 75 Dec 31, 2012 73.2 Dec 31, 2013 75.6 Dec 31, 2014 80.4

Vega-Lite specification:
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Chart description: CPG/FMCG have the biggest distribution of digital video advertising, and the smaller is Healh care.

Chart data: Q3 2014 Race 0.34 CPG/FMCG 0.22 Retail 0.11 Non-alcoholic beverages 0.06 Auto 0.05 Pharmeceuticals 0.05 Entertainment 0.04 Financial services 0.04 Telecom 0.02 E-commerce 0.02 Health care

Vega-Lite specification:
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Chart description: Though revenue does not increase with every season, overall the commercial revenue stream increases with time. Revenue was below 100 million euros for the 2008/9 through 2012/13 seasons, above 100 million euros for the 2013/14 through 2017/18 seasons, and above 200 million euros for the 2018/19 season.

Chart data: Commercial Season 210.4 2018/19 191.8 2017/18 162.7 2016/17 163.1 2015/16 148.7 2014/15 135.7 2013/14 97.9 2012/13 87.1 2011/12 62.8 2010/11 68.8 2009/10 62 2008/09

Vega-Lite specification:
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Chart description: There is a general upward trend rising from 0.58 to 0.67.

Chart data: Year 15-64 years Dec 31, 2008 0.5778 Dec 31, 2009 0.5844 Dec 31, 2010 0.591 Dec 31, 2011 0.5982 Dec 31, 2012 0.6057 Dec 31, 2013 0.6129 Dec 31, 2014 0.6195 Dec 31, 2015 0.6256 Dec 31, 2016 0.6309 Dec 31, 2017 0.6357 Dec 31, 2018 0.6401

Vega-Lite specification:
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Chart description: this graph shows an increase in air cargo traffic over the years however it is not a constant upward trend. some years the amount of traffic fell. however overall it shows an upward trend.

Chart data: Year Mail Dec 31, 2006 5.35 Dec 31, 2007 5.64 Dec 31, 2008 5.19 Dec 31, 2009 5.29 Dec 31, 2010 5.41 Dec 31, 2011 5.39 Dec 31, 2012 5.78 Dec 31, 2013 6.04 Dec 31, 2014 6.39 Dec 31, 2015 6.41 Dec 31, 2016 7.19 Dec 31, 2017 7.31 Dec 31, 2018 7.08

Vega-Lite specification:
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