delen/vistext huggingface dataset:
Chart description: From 01 to 12 the player expenses remained quite consistent. From 2013 the player expenses rose significantly, and continued to rise (14 particularly) so.

Chart data: Player expenses in million U.S. dollars Year 135 18/19 106 17/18 96 16/17 92 15/16 99 14/15 115 13/14 94 12/13 58 11/12 66 10/11 64 09/10 67 08/09 67 07/08 68 06/07 70 05/06 60 04/05 67 03/04 63 02/03 54 01/02

Vega-Lite specification:
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Chart description: the operating income fluctuate from 2001/02 to 2012/13 with the worst income in 2011/12 of negative 20 million. Since 2013/14, the operating income has been increasing steadily and reach 80million in 2018/19.

Chart data: Operating income in million U.S. dollars Year 78 18/19 42 17/18 22 16/17 19.8 15/16 7 14/15 14.8 13/14 −3.6 12/13 −18.7 11/12 −14.7 10/11 −7.3 09/10 −2 08/09 6.7 07/08 9.7 06/07 12.9 05/06 4.7 04/05 8.9 03/04 −8.4 02/03 4.2 01/02

Vega-Lite specification:
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Chart description: As the years have gone on, the number of workforce has increased. There was a dip in 2010 and 2011.

Chart data: Workforce in thousand persons Year 1819 2019* 1790 2018 1738 2017 1681 2016 1622 2015 1581 2014 1498 2013 1419 2012 1377 2011 1378 2010 1424 2009 1465 2008 1428 2007 1438 2006 1445 2005 1436 2004 1396 2003

Vega-Lite specification:
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Chart description: this bar chart shows that from 2008, the number of enterprises who manufacture soft drinks, mineral and other bottled water in Sweden from 2008 to 2018 shows from 2008 the number of enterprises has gradually increased, decreasing in 2018.

Chart data: Number of enterprises Year 84 2018* 85 2017 73 2016 62 2015 53 2013 56 2012 52 2011 47 2010 41 2009 39 2008

Vega-Lite specification:
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Chart description: Columbias highest share of GPD was in 2016 and 2017. Their lowest share is in 2022.

Chart data: Year Share in global GDP adjusted for PPP 2025* 0.0055 2024* 0.0055 2023* 0.0055 2022* 0.0054 2021* 0.0055 2020* 0.0055 2019 0.0057 2018 0.0057 2017 0.0058 2016 0.0058 2015 0.0057

Vega-Lite specification:
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Chart description: The PPP has slightly decreased over the year and is predicted to stay the same from 2020 onwards.

Chart data: Year Share in global GDP adjusted for PPP 2025* 0.0055 2024* 0.0055 2023* 0.0055 2022* 0.0054 2021* 0.0055 2020* 0.0055 2019 0.0057 2018 0.0057 2017 0.0058 2016 0.0058 2015 0.0057

Vega-Lite specification:
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Chart description: The greatest number of enterprises was in 2011. The fewest number of enterprises was in 2008. The number of enterprises rose between 2008 and 2011 then  gradually decreased until 2015. From 2016 the number of enterprises started to rise again.

Chart data: Year Number of enterprises 2017 612 2016 605 2015 592 2014 597 2013 609 2012 627 2011 643 2010 626 2009 534 2008* 521

Vega-Lite specification:
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Chart description: Poland has a huge number of ATMs, whereas Malta has barely any.

Chart data: Country ATM numbers Poland 22885 Romania 10547 Greece 5676 Czechia 5124 Croatia 5159 Slovakia 2779 Slovenia 1580 Lithuania 907 Latvia 949 Estonia 751 Cyprus 720 Malta 219

Vega-Lite specification:
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Chart description: This shows that Poland has the most ATM numbers whilst Malta has the least.

Chart data: Country ATM numbers Poland 22885 Romania 10547 Greece 5676 Czechia 5124 Croatia 5159 Slovakia 2779 Slovenia 1580 Lithuania 907 Latvia 949 Estonia 751 Cyprus 720 Malta 219

Vega-Lite specification:
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Chart description: The countries with the most ATMs are Poland with approximately 22,000 and Romania with just over 10,000. Malta has the fewest with less than 1,000. Most countries have between 6,000 and 1,000 ATMs.

Chart data: Country ATM numbers Poland 22885 Romania 10547 Greece 5676 Czechia 5124 Croatia 5159 Slovakia 2779 Slovenia 1580 Lithuania 907 Latvia 949 Estonia 751 Cyprus 720 Malta 219

Vega-Lite specification:
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Chart description: Cell phone bills were the monthly expense most commonly paid by millenials' parents, with a share of 0.12 millenials having their parents pay. Expenses for a grandadchild were the monthly expense least commonly paid by millenials' parents, with a share of 0.02 millenials having their parents pay.

Chart data: Share of Millennials Response 0.12 Cell phone bills 0.08 Car insurance 0.07 Health insurance 0.07 Rent/mortgage 0.06 Medical bills not covered by health insurance 0.05 Student loans 0.05 Extra money each month 0.05 Car payment 0.04 Gym membership 0.02 Expenses for a grandchild 0.01 Other

Vega-Lite specification:
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Chart description: Monthly expenses of cell phone bills were the most covered by millennial parents in USA in 2014 compared to other expenses.

Chart data: Share of Millennials Response 0.12 Cell phone bills 0.08 Car insurance 0.07 Health insurance 0.07 Rent/mortgage 0.06 Medical bills not covered by health insurance 0.05 Student loans 0.05 Extra money each month 0.05 Car payment 0.04 Gym membership 0.02 Expenses for a grandchild 0.01 Other

Vega-Lite specification:
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Chart description: Ontario has the most establishments, nearly 130Prince Edward Island has the least, around 1,Quebec comes in second with around 105.

Chart data: Number of establishments province of Canada 129 Ontario 104 Quebec 52 Alberta 51 British Columbia 33 Saskatchewan 22 Manitoba 14 Nova Scotia 9 New Brunswick 2 Newfoundland and Labrador 1 Prince Edward Island

Vega-Lite specification:
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Chart description: there are quite a lot of jobs advertised using media/social media and advertised online.

Chart data: Share of users Response 0.92 Job portals 0.87 Company career page 0.56 Internal employee referrals 0.53 Own network 0.48 Fairs (e.g. university fairs, job & career fairs) 0.46 Social media for direct contact ("Active Sourcing") 0.45 Print media (newspapers, specialist magazines) 0.45 Social media for job postings 0.43 Social media for employer branding 0.39 Intranet 0.34 Personnel consultants/service providers/temporary work 0.3 CV databases (internal) 0.3 External employee referrals 0.21 CV databases (external) 0.03 Other, not listed 0.02 We're not recruiting

Vega-Lite specification:
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Chart description: The most successful channels a company has for recruitment are internal resourcesThe X axis shows the percentage share of users against the Y axis which is the different types of channels.

Chart data: Share of users Response 0.92 Job portals 0.87 Company career page 0.56 Internal employee referrals 0.53 Own network 0.48 Fairs (e.g. university fairs, job & career fairs) 0.46 Social media for direct contact ("Active Sourcing") 0.45 Print media (newspapers, specialist magazines) 0.45 Social media for job postings 0.43 Social media for employer branding 0.39 Intranet 0.34 Personnel consultants/service providers/temporary work 0.3 CV databases (internal) 0.3 External employee referrals 0.21 CV databases (external) 0.03 Other, not listed 0.02 We're not recruiting

Vega-Lite specification:
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Chart description: Since 2004 electricity consumed has maintained above 400k gigawatt hours. There has been a gradual but steady increase reading the chart left to right from the lower end of 400k gigawatt hours to the higher end. Along this line are peaks and troughs, but generally consumption has been increasing. There were particular troughs in 2009 and 2011.

Chart data: Year Electricity consumed in gigawatt hours Dec 31, 2003 419314 Dec 31, 2004 421861 Dec 31, 2005 428169 Dec 31, 2006 429860 Dec 31, 2007 438524 Dec 31, 2008 423863 Dec 31, 2009 441410 Dec 31, 2010 429399 Dec 31, 2011 437442 Dec 31, 2012 442031 Dec 31, 2013 428754 Dec 31, 2014 432925

Vega-Lite specification:
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Chart description: There was a decline in public spending in France from 2010 to 2011. Since 2011, public spending has increased slowly over many years. In 2017, spending began to stay consistent at 500 billion euros.

Chart data: Year Spending in billion euros Dec 31, 2009 483.4 Dec 31, 2010 447.3 Dec 31, 2011 453.7 Dec 31, 2012 457.6 Dec 31, 2013 464.7 Dec 31, 2014 465.7 Dec 31, 2015 480.8 Dec 31, 2016 496.6 Dec 31, 2017 496.9 Dec 31, 2018 501.7

Vega-Lite specification:
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Chart description: From the visualisation it is evident that total public spending in France from 2010 to 2019 has not risen much. It is evident that there is a dip in the total public spending in 2011. Also it is evident from the visualisation that the trend has gradually risen from 2011 back to the level as it was in 2010 in year 2016. And since 2016 the trend has gradually increased to only slightly higher level than it was in 2010.

Chart data: Year Spending in billion euros Dec 31, 2009 483.4 Dec 31, 2010 447.3 Dec 31, 2011 453.7 Dec 31, 2012 457.6 Dec 31, 2013 464.7 Dec 31, 2014 465.7 Dec 31, 2015 480.8 Dec 31, 2016 496.6 Dec 31, 2017 496.9 Dec 31, 2018 501.7

Vega-Lite specification:
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Chart description: The chart shows that national debt in Morocco (in relation to GDP) hit an all time high. The chart also shows that there are predictions that national debt will decrease by 2025.

Chart data: National debt in relation to GDP Year 0.6999 2025* 0.7241 2024* 0.7427 2023* 0.7556 2022* 0.7657 2021* 0.7689 2020* 0.6578 2019 0.6529 2018 0.6511 2017 0.6488 2016 0.6369 2015

Vega-Lite specification:
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Chart description: there is a positive correlation between the years and the number of employees.

Chart data: Year Number of employees Dec 31, 2009 161718 Dec 31, 2010 168710 Dec 31, 2011 180529 Dec 31, 2012 184235 Dec 31, 2013 195433 Dec 31, 2014 208109 Dec 31, 2015 223468 Dec 31, 2016 236235 Dec 31, 2017 250930 Dec 31, 2018 276005 Dec 31, 2019 284258

Vega-Lite specification:
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Chart description: The trend is that employee numbers have increased steadily and  a consistent rate from 2010 to 2018. The number of employees has almost doubled over the period the graph captures. The rate of increase has slowed very slightly since mid 2018.

Chart data: Year Number of employees Dec 31, 2009 161718 Dec 31, 2010 168710 Dec 31, 2011 180529 Dec 31, 2012 184235 Dec 31, 2013 195433 Dec 31, 2014 208109 Dec 31, 2015 223468 Dec 31, 2016 236235 Dec 31, 2017 250930 Dec 31, 2018 276005 Dec 31, 2019 284258

Vega-Lite specification:
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Chart description: The bar chart shows that the country with the highest drug usage was Denmark, followed by Finland and Portugal. Latvia and United Kingdom were next, with Croatia and Cyprus being the lowest users.

Chart data: Country Prevalence per 1,000 inhabitants Denmark 14.65 Finland 10.69 Portugal 10.12 Latvia 9.37 United Kingdom 9.16 France 6.86 Czechia 6.49 Austria 6.28 Bulgaria 3.75 Poland 3.73 Croatia 3.48 Cyprus 3.12

Vega-Lite specification:
{"config": {"background": "#666", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#fbb4ae", "#b3cde3", "#ccebc5", "#decbe4", "#fed9a6", "#ffffcc", "#e5d8bd", "#fddaec", "#f2f2f2", "#b3e2cd", "#fdcdac", "#cbd5e8", "#f4cae4", "#e6f5c9", "#fff2ae", "#f1e2cc", "#cccccc"]}}, "data": {"url": "data/23598.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f2f2f2"}, "x": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"title": "Prevalence per 1,000 inhabitants"}, "field": "Prevalence per 1,000 inhabitants"}}, "title": ["Prevalence of problem drug use per 1,000", "inhabitants in Europe in 2018 , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The countries from left to right in alphabetical order are Austria, Bulgaria, Croatia, Cyprus, Chechia, Denmark, Finland, France, Latvia, Poland, Portugal, United Kingdom. The  highest prevalence of problem drug use is in Denmark (14.5). It is lowest in Cyprus (3). There is a  smaller spread in eastern European countries (3.5-6.5 ) than in the western nations of Europe (3-14.5).

Chart data: Country Prevalence per 1,000 inhabitants Denmark 14.65 Finland 10.69 Portugal 10.12 Latvia 9.37 United Kingdom 9.16 France 6.86 Czechia 6.49 Austria 6.28 Bulgaria 3.75 Poland 3.73 Croatia 3.48 Cyprus 3.12

Vega-Lite specification:
{"config": {"background": "#666", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#fbb4ae", "#b3cde3", "#ccebc5", "#decbe4", "#fed9a6", "#ffffcc", "#e5d8bd", "#fddaec", "#f2f2f2", "#b3e2cd", "#fdcdac", "#cbd5e8", "#f4cae4", "#e6f5c9", "#fff2ae", "#f1e2cc", "#cccccc"]}}, "data": {"url": "data/23598.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f2f2f2"}, "x": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"title": "Prevalence per 1,000 inhabitants"}, "field": "Prevalence per 1,000 inhabitants"}}, "title": ["Prevalence of problem drug use per 1,000", "inhabitants in Europe in 2018 , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In the bar chat the prevalence of problem drug use per 1,000 inhabitants in Europe in 2018 , by country is shown. At first sight of the graph it is clear that the Country with the biggest problem drug use is Denmark that is significantly higher than the other European countries displayed. Portugal Finland and Latvia all seem significantly high also despite not trailing infant of Denmark. And we can also see the Cyprus has the least problem with drug use despite still having a number on the chart.

Chart data: Country Prevalence per 1,000 inhabitants Denmark 14.65 Finland 10.69 Portugal 10.12 Latvia 9.37 United Kingdom 9.16 France 6.86 Czechia 6.49 Austria 6.28 Bulgaria 3.75 Poland 3.73 Croatia 3.48 Cyprus 3.12

Vega-Lite specification:
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Chart description: Hip Hop/Rap & Pop hold a major share of the consumption market which reflects a more modern culture of music. Whereas music that has been around a lot longer in terms of origin is a lot less popular.

Chart data: Share of consumption Genre 0.217 Hip-Hop/Rap 0.201 Pop 0.14 Rock 0.106 R&B 0.094 Latin 0.087 Country 0.039 EDM 0.032 Religious 0.027 Stage & Screen 0.015 World 0.011 Jazz 0.01 Reggae 0.01 Classical 0.006 Children's 0.005 New Age

Vega-Lite specification:
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Chart description: Hip-Hop/Rap was the most consumed genre of musical album in the US in 2018, followed by pop and then rock. New Age was the least consumed genre of musical album in the US in 2018, followed by Childrens. The three most popular genres accounted to over half of all musical genres consumed in album format in 2018 in the US.

Chart data: Share of consumption Genre 0.217 Hip-Hop/Rap 0.201 Pop 0.14 Rock 0.106 R&B 0.094 Latin 0.087 Country 0.039 EDM 0.032 Religious 0.027 Stage & Screen 0.015 World 0.011 Jazz 0.01 Reggae 0.01 Classical 0.006 Children's 0.005 New Age

Vega-Lite specification:
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Chart description: The most recent years (x axis) has the higher population. As the years increase, the population also increases.

Chart data: Year Population in millions Dec 31, 1949 549329 Dec 31, 1950 554324 Dec 31, 1951 559694 Dec 31, 1952 565282 Dec 31, 1953 570970 Dec 31, 1954 576679 Dec 31, 1955 582371 Dec 31, 1956 588048 Dec 31, 1957 593743 Dec 31, 1958 599513 Dec 31, 1959 605407 Dec 31, 1960 611434 Dec 31, 1961 617536 Dec 31, 1962 623575 Dec 31, 1963 629367 Dec 31, 1964 634783 Dec 31, 1965 639762 Dec 31, 1966 644345 Dec 31, 1967 648636 Dec 31, 1968 652790 Dec 31, 1969 656919 Dec 31, 1970 661056 Dec 31, 1971 665163 Dec 31, 1972 669208 Dec 31, 1973 673132 Dec 31, 1974 676895 Dec 31, 1975 680498 Dec 31, 1976 683960 Dec 31, 1977 687286 Dec 31, 1978 690485 Dec 31, 1979 693567 Dec 31, 1980 696514 Dec 31, 1981 699330 Dec 31, 1982 702071 Dec 31, 1983 704808 Dec 31, 1984 707584 Dec 31, 1985 710422 Dec 31, 1986 713279 Dec 31, 1987 716057 Dec 31, 1988 718617 Dec 31, 1989 720858 Dec 31, 1990 722776 Dec 31, 1991 724390 Dec 31, 1992 725657 Dec 31, 1993 726529 Dec 31, 1994 726994 Dec 31, 1995 727020 Dec 31, 1996 726669 Dec 31, 1997 726142 Dec 31, 1998 725705 Dec 31, 1999 725558 Dec 31, 2000 725772 Dec 31, 2001 726312 Dec 31, 2002 727134 Dec 31, 2003 728150 Dec 31, 2004 729288 Dec 31, 2005 730547 Dec 31, 2006 731939 Dec 31, 2007 733417 Dec 31, 2008 734923 Dec 31, 2009 736413 Dec 31, 2010 737851 Dec 31, 2011 739225 Dec 31, 2012 740542 Dec 31, 2013 741818 Dec 31, 2014 743059 Dec 31, 2015 744269 Dec 31, 2016 745415 Dec 31, 2017 746419 Dec 31, 2018 747183

Vega-Lite specification:
{"config": {"range": {"category": ["#4c78a8", "#9ecae9", "#f58518", "#ffbf79", "#54a24b", "#88d27a", "#b79a20", "#f2cf5b", "#439894", "#83bcb6", "#e45756", "#ff9d98", "#79706e", "#bab0ac", "#d67195", "#fcbfd2", "#b279a2", "#d6a5c9", "#9e765f", "#d8b5a5"]}}, "data": {"url": "data/23633.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ffbf79"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Population in millions"}, "field": "Population in millions"}}, "title": ["Estimated population of Europe from 1950", "to 2020 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}