delen/vistext huggingface dataset:
Chart description: Terror attacks significantly increased between 2013 and 2015 before quickly reducing.

Chart data: Year Other Dec 31, 2009 41 Dec 31, 2010 26 Dec 31, 2011 26 Dec 31, 2012 44 Dec 31, 2013 117 Dec 31, 2014 107 Dec 31, 2015 2 Dec 31, 2016 6 Dec 31, 2017 1 Dec 31, 2018 9

Vega-Lite specification:
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Chart description: The number of grapefruit imports fluctuates over time in the US. There seems to be a decrease in the number of grapefruit imports from 2000 to 2010. However, after 2010 the number of grapefruit imports soon begin to rise.

Chart data: Year Imports Dec 31, 1998 5769 Dec 31, 1999 19409 Dec 31, 2000 27327 Dec 31, 2001 17781 Dec 31, 2002 18983 Dec 31, 2003 13983 Dec 31, 2004 17580 Dec 31, 2005 21531 Dec 31, 2006 15216 Dec 31, 2007 11697 Dec 31, 2008 11370 Dec 31, 2009 7103 Dec 31, 2010 2869 Dec 31, 2011 11862 Dec 31, 2012 13777 Dec 31, 2013 9291 Dec 31, 2014 21931 Dec 31, 2015 26845 Dec 31, 2016 10216

Vega-Lite specification:
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Chart description: McDonalds has the highest proportion of covid relaxers and Enfagrow has the lowest proportion of covid relaxers.

Chart data: COVID-19 Relaxers Response 0.49 McDonald's 0.3 KFC 0.25 Dettol 0.24 QOO10 0.15 Shopee 0.13 Ninja Van 0.09 L'Oreal 0.07 Nissin 0.03 MeWATCH 0.01 Enfagrow

Vega-Lite specification:
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Chart description: The graph shows that October 19 had the least unemployment and this level has since increased substantially. The level of unemployment began to rise around March 20, and steadily continued this increase month on month throughout the rest of 2020 and peaking in July. The unemployment has since recovered slightly with Aug 20 and Sep 20 decreasing.

Chart data: Month Unemployment Sep '20 0.052 Aug '20 0.053 Jul '20 0.054 Jun '20 0.053 May '20 0.052 Apr '20 0.048 Mar '20 0.046 Feb '20 0.039 Jan '20 0.039 Dec '19 0.04 Nov '19 0.04 Oct '19 0.039

Vega-Lite specification:
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Chart description: Covid has had a large impact on the number of employees in Romania, there was growth between December 2019 and January 2020 but sustained loss after.

Chart data: Number of employees Month −0.013 Sep '20 −0.015 Aug '20 −0.018 Jul '20 −0.017 Jun '20 −0.017 May '20 −0.014 Apr '20 0 Mar '20 0.005 Feb '20 0.006 Jan '20 0.009 Dec '19 0.008 Nov '19 0.009 Oct '19

Vega-Lite specification:
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Chart description: Agricultural shares have generally gone up, but from 2017 have started to very gradually go down.

Chart data: Year Agriculture Dec 31, 2008 0.2336 Dec 31, 2009 0.2483 Dec 31, 2010 0.263 Dec 31, 2011 0.2617 Dec 31, 2012 0.2644 Dec 31, 2013 0.2745 Dec 31, 2014 0.3019 Dec 31, 2015 0.3107 Dec 31, 2016 0.3483 Dec 31, 2017 0.341 Dec 31, 2018 0.3415

Vega-Lite specification:
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Chart description: Over the years plotted the share of industry is decreasing with advancing years. The rate of decrease is low at ~0.02 per year.

Chart data: Year Industry Dec 31, 2008 0.1875 Dec 31, 2009 0.1855 Dec 31, 2010 0.1891 Dec 31, 2011 0.186 Dec 31, 2012 0.1802 Dec 31, 2013 0.1744 Dec 31, 2014 0.173 Dec 31, 2015 0.1789 Dec 31, 2016 0.1679 Dec 31, 2017 0.1641 Dec 31, 2018 0.1615

Vega-Lite specification:
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Chart description: Greece and Portugal have the largest availability of debt. Central & Eastern Europe, Italy, and Russia have no availability of debt.

Chart data: Response Substantially greater Portugal 0.14 Greece 0.13 Spain 0.11 United Kingdom 0.11 Germany 0.1 France 0.09 Ireland 0.08 Nordic region 0.06 Benelux 0.05 Italy 0 Central & Eastern Europe 0 Russia 0

Vega-Lite specification:
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Chart description: It seems central & Eastern Europe, Italy and Russia all have no substantially greater availability of debt for refinancing at all. At the other end of the scale you can see that Greece and Portugal have the highest availability at over 0.10.

Chart data: Response Substantially greater Portugal 0.14 Greece 0.13 Spain 0.11 United Kingdom 0.11 Germany 0.1 France 0.09 Ireland 0.08 Nordic region 0.06 Benelux 0.05 Italy 0 Central & Eastern Europe 0 Russia 0

Vega-Lite specification:
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Chart description: Italy has the highest availability of debt for refinancing. Russia has considerably less.

Chart data: Moderately greater Response 0.57 Portugal 0.25 Greece 0.44 Spain 0.56 United Kingdom 0.44 Germany 0.45 France 0.58 Ireland 0.38 Nordic region 0.48 Benelux 0.83 Italy 0.75 Central & Eastern Europe 0.14 Russia

Vega-Lite specification:
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Chart description: Russia had the most availability of debt and Portugal had the least availability.

Chart data: Response The same Portugal 0.14 Greece 0.5 Spain 0.44 United Kingdom 0.3 Germany 0.44 France 0.45 Ireland 0.25 Nordic region 0.44 Benelux 0.48 Italy 0.17 Central & Eastern Europe 0.13 Russia 0.57

Vega-Lite specification:
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Chart description: The population of 0-19year olds in Denmark has remained close to 1.4m from 2010 to 2018. There is a slight decrease consistently over this period, dropping towards closer to 1.3m than 1.4 in 2010.

Chart data: Year 0-19 years Dec 31, 2009 1.35 Dec 31, 2010 1.35 Dec 31, 2011 1.34 Dec 31, 2012 1.34 Dec 31, 2013 1.33 Dec 31, 2014 1.32 Dec 31, 2015 1.31 Dec 31, 2016 1.31 Dec 31, 2017 1.31 Dec 31, 2018 1.3 Dec 31, 2019 1.3

Vega-Lite specification:
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Chart description: The number of 20-39 year olds in Denmark has been slowly increasing between 2010 and 2020. The highest number is reached in 2020 where number of 20-39 year olds reaches almost 1.5 million.

Chart data: Year 20-39 years Dec 31, 2009 1.38 Dec 31, 2010 1.38 Dec 31, 2011 1.38 Dec 31, 2012 1.38 Dec 31, 2013 1.39 Dec 31, 2014 1.4 Dec 31, 2015 1.42 Dec 31, 2016 1.44 Dec 31, 2017 1.46 Dec 31, 2018 1.47 Dec 31, 2019 1.47

Vega-Lite specification:
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Chart description: Total population in Denmark from 2010 to 2020 has increased. Between 2010 and 2013 the population was stable, then it began to increase. Population appears to have stabilised again for 2019 and 2020.

Chart data: Year 20-39 years Dec 31, 2009 1.38 Dec 31, 2010 1.38 Dec 31, 2011 1.38 Dec 31, 2012 1.38 Dec 31, 2013 1.39 Dec 31, 2014 1.4 Dec 31, 2015 1.42 Dec 31, 2016 1.44 Dec 31, 2017 1.46 Dec 31, 2018 1.47 Dec 31, 2019 1.47

Vega-Lite specification:
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Chart description: The population of 40-59 year olds rose slightly from 2010 to 2016. The population of 40-59 year olds stayed the same from 2016 to 2020. The population of 40-59 year olds has not risen much above 1.5 during the time frame.

Chart data: Year 40-59 years Dec 31, 2009 1.53 Dec 31, 2010 1.53 Dec 31, 2011 1.54 Dec 31, 2012 1.54 Dec 31, 2013 1.55 Dec 31, 2014 1.55 Dec 31, 2015 1.56 Dec 31, 2016 1.56 Dec 31, 2017 1.56 Dec 31, 2018 1.56 Dec 31, 2019 1.56

Vega-Lite specification:
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Chart description: from years 2010 to 2014 the population of 80+ remained the sameThe population of 80+ year old's then began to increase from 2014 to 2018.

Chart data: Year 80 years and older Dec 31, 2009 0.23 Dec 31, 2010 0.23 Dec 31, 2011 0.23 Dec 31, 2012 0.23 Dec 31, 2013 0.23 Dec 31, 2014 0.24 Dec 31, 2015 0.24 Dec 31, 2016 0.25 Dec 31, 2017 0.26 Dec 31, 2018 0.26 Dec 31, 2019 0.27

Vega-Lite specification:
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Chart description: Overall there is a gradual increase in expenditure of the German Bundesliga from 2008 until 2019, with similar expenditure from 2010 to 2012.

Chart data: Payroll costs for match operations Year 1431.63 2018/19 1317.8 2017/18 1184.64 2016/17 1058.84 2015/16 997.54 2014/15 899.99 2013/14 847.47 2012/13 787.66 2011/12 780.85 2010/11 750.08 2009/10 678.23 2008/09

Vega-Lite specification:
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Chart description: The transfers were quite steady for the years 2009 - 2015 then there were 2 major increases after that in 2 year increments.

Chart data: Year Transfers 2018/19 842.45 2017/18 839.02 2016/17 672.76 2015/16 511.96 2014/15 373.63 2013/14 318.05 2012/13 290.67 2011/12 296.12 2010/11 266.69 2009/10 283.26 2008/09 250.72

Vega-Lite specification:
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Chart description: The statement which was agreed with the strongest was that consumers were careful about avoiding waste. The least agreed with were cutting back and prefer if money spent columns. Unfortunately I am completing this on my mobile phone and the full statements are not displayed.

Chart data: Strongly agree consumers on certain shopping attitudes 0.38 I´m careful about avoiding waste nowadays 0.33 I prefer to buy ingredients to make meals from scratch rather than ready meals 0.3 I would like to feel that the money I spend goes on the product, and not on the marketing 0.27 I buy fresh food when I actually need it, so it really is fresh 0.24 I try to avoid being tempted to buy things I don´t need 0.21 I make things go further nowadays 0.2 I try to carefully plan what I buy before I go to the shops 0.17 I´m more focused on price than ethical or environmental considerations nowadays 0.17 I prefer it if the money I spend benefits British businesses 0.13 I believe that cutting back and being more careful has made me a more environmentally friendly shopper 0.13 I prefer it if the money I spend benefits local businesses

Vega-Lite specification:
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Chart description: There is no particular habit from consumers that stands out as being more popular than the rest. Likewise, there is also no particular habit from consumers that they disagree with.

Chart data: consumers on certain shopping attitudes Agree I´m careful about avoiding waste nowadays 0.48 I prefer to buy ingredients to make meals from scratch rather than ready meals 0.4 I would like to feel that the money I spend goes on the product, and not on the marketing 0.54 I buy fresh food when I actually need it, so it really is fresh 0.53 I try to avoid being tempted to buy things I don´t need 0.53 I make things go further nowadays 0.47 I try to carefully plan what I buy before I go to the shops 0.51 I´m more focused on price than ethical or environmental considerations nowadays 0.4 I prefer it if the money I spend benefits British businesses 0.44 I believe that cutting back and being more careful has made me a more environmentally friendly shopper 0.42 I prefer it if the money I spend benefits local businesses 0.45

Vega-Lite specification:
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Chart description: Ontario has the highest number of officers with well over 1500, almost double that of the next highest number from Québec. The provinces with the fewest officers are Nunavut, Prince Edward Island and Yukon.

Chart data: level of policing and province Federal and other policing ** Newfoundland and Labrador 75 Prince Edward Island 22 Nova Scotia 121 New Brunswick 115 Quebec 886 Ontario 1749 Manitoba 129 Saskatchewan 130 Alberta 401 British Columbia 765 Yukon 11 Northwest Territories 19 Nunavut 14

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Chart description: The graph doesn't show a trend, only the information collected at a point in time.

Chart data: Most active Response 0.49 Germany 0.19 Nordic 0.15 United Kingdom and Ireland 0.06 Austria and Switzerland 0.04 Benelux 0.03 France 0.02 South Eastern Europe 0.01 CEE (excluding Russia and Ukraine) 0.01 Italy 0 Iberia 0 Russia and Ukraine

Vega-Lite specification:
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Chart description: Germany and the Nordic countries will witness far higher M & A activity than the other countries plotted.

Chart data: Response 2nd most active Germany 0.2 Nordic 0.2 United Kingdom and Ireland 0.13 Austria and Switzerland 0.1 Benelux 0.1 France 0.08 South Eastern Europe 0.05 CEE (excluding Russia and Ukraine) 0.07 Italy 0.03 Iberia 0.01 Russia and Ukraine 0.03

Vega-Lite specification:
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Chart description: February the 19th was the highest penetration of broadband with 65+ years, it was at a value of 0.59. however, October 1st was the lowest at 0.02.

Chart data: Month 65+ years Oct '01 0.02 Jun '05 0.07 Aug '08 0.34 Aug '11 0.3 Sep '13 0.41 Jul '15 0.48 Nov '16 0.51 Jan '18 0.5 Feb '19 0.59

Vega-Lite specification:
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Chart description: IoT devices was the most popular, at 0.685. The least popular device was Telecom at 0.15.  There is no trend.

Chart data: Response Addition (not replacing existing technology) IoT devices 0.63 Mobile apps 0.54 Cloud computing 0.53 Data & analytics 0.52 IT services 0.46 Security 0.42 Web apps 0.4 Servers/storage 0.39 Enterprise software (SaaS) 0.35 Networking 0.33 Enterprise software (non-SaaS) 0.32 Desktops/laptops 0.29 Telecom 0.16

Vega-Lite specification:
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Chart description: IOT devices has been the largest example of digital transformation.

Chart data: Response Addition (not replacing existing technology) IoT devices 0.63 Mobile apps 0.54 Cloud computing 0.53 Data & analytics 0.52 IT services 0.46 Security 0.42 Web apps 0.4 Servers/storage 0.39 Enterprise software (SaaS) 0.35 Networking 0.33 Enterprise software (non-SaaS) 0.32 Desktops/laptops 0.29 Telecom 0.16

Vega-Lite specification:
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Chart description: Since 2010, merchant wholesalers’ furniture and furnishing sales have steadily increased.

Chart data: Year Manufacturers' sales branches and offices Dec 31, 2001 17.94 Dec 31, 2002 18.46 Dec 31, 2003 20.64 Dec 31, 2004 22.66 Dec 31, 2005 22.56 Dec 31, 2006 23.37 Dec 31, 2007 20.89 Dec 31, 2008 18.09 Dec 31, 2009 17.68 Dec 31, 2010 18.83 Dec 31, 2011 19.56 Dec 31, 2012 20.45 Dec 31, 2013 20.95 Dec 31, 2014 22.22 Dec 31, 2015 22.7 Dec 31, 2016 23.26 Dec 31, 2017 24.9

Vega-Lite specification:
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Chart description: The combined revenue of EY increased overall between 2009 and 2020, with the only year on year reduction being in 2010.

Chart data: Year Americas 2020** 17.19 2019 16.75 2018 15.61 2017 14.51 2016 13.56 2015 12.7 2014 11.54 2013 10.75 2012 9.82 2011 8.98 2010 8.37 2009 8.65

Vega-Lite specification:
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Chart description: Year on year since 2009, the combined revenue of EY Worldwide has increased.

Chart data: Asia Pacific Year 5.84 2020** 4.29 2019 4.12 2018 3.62 2017 3.24 2016 3.13 2015 2.95 2014 2.93 2013 2.81 2012 2.53 2011 2.14 2010 1.96 2009

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