delen/vistext huggingface dataset:
Chart description: The largest number of employees work in professional and business services.  The second largest sector is health care and social assistance.  The third largest sector is retail with around 15000 employees.  Mining and logging and utilities have the lowest number of employees.  Leisure and hospitality and local government have a similar amount of employees.  The majority of sectors have less than 5000 employees.  Wholesale trade, Warehouse and Other Services have a similar number of employees - just over 5000.

Chart data: Number of employees in thousands industry type 20489 Professional and business services 19893.4 Health care and social assistance 15122.1 Retail trade 13678 Local government 13418 Leisure and hospitality 12253 Manufacturing 7360 Construction 6504.6 Finance and insurance 5653.3 Wholesale trade 5555.4 Transportation and warehousing 5509 Other services 4854 State government 3436.9 Educational services 2900 Federal government 2614 Information 2225.8 Real estate and rental and leasing 624 Mining and logging 538.7 Utilities

Vega-Lite specification:
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Chart description: far and away the biggest merger deal was refinitiv ltd. just eat was the next highest but was only a third of that of refinitiv!.

Chart data: business Deal value in billion GBP Refinitiv UK Holdings Ltd, London 21.8 Just Eat Plc, London 6.26 UPC Switzerland LLC, Switzerland* 4.87 Greene King Plc, Bury St Edmunds 4.64 Upstream and Midstream business in Alaska of BP Plc, London 4.56 Merlin Entertainments Plc, Poole 3.36 ReAssure Group Plc, Telford 3.2 Currenta GmbH & Co OHG 3.2 Inmarsat Plc, London 2.57 Kantar Group Ltd, London 2.5

Vega-Lite specification:
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Chart description: Strategy games are the most popular genre of computer game within the US in 2015.

Chart data: Share of units sold Response 0.364 Strategy 0.258 Casual 0.187 Role-playing 0.063 Shooter 0.059 Adventure 0.041 Action 0.013 Other games, compilations 0.006 Flight 0.003 Family entertainment 0.003 Racing 0.002 Sport games 0.001 Arcade 0.001 Children's entertainment

Vega-Lite specification:
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Chart description: The revenue has been rapidly growing from 1980 to post 2010 peaking at just below $700 million.

Chart data: Year Television revenue (in million U.S. dollars) Dec 31, 1979 8.86 Dec 31, 1980 10.32 Dec 31, 1981 14.63 Dec 31, 1982 16.88 Dec 31, 1983 20.14 Dec 31, 1984 28.33 Dec 31, 1985 33.03 Dec 31, 1986 36.64 Dec 31, 1987 57.79 Dec 31, 1988 57.16 Dec 31, 1989 63.51 Dec 31, 1990 112.44 Dec 31, 1991 120.06 Dec 31, 1992 129.06 Dec 31, 1993 137.06 Dec 31, 1994 166.2 Dec 31, 1995 178.3 Dec 31, 1996 188.4 Dec 31, 1997 200.9 Dec 31, 1998 213.8 Dec 31, 1999 227.7 Dec 31, 2000 242.1 Dec 31, 2001 272.78 Dec 31, 2002 370.04 Dec 31, 2003 400 Dec 31, 2004 432 Dec 31, 2005 453 Dec 31, 2006 503 Dec 31, 2007 543.8 Dec 31, 2008 571 Dec 31, 2009 633.8 Dec 31, 2010 653 Dec 31, 2011 670 Dec 31, 2012 684.3

Vega-Lite specification:
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Chart description: The bar chart shows the youngest age groups at the top of the Y axis, the age increases as you look down the Y-axis with the exception of the very youngest group which is displayed at the bottom. I would consider this chart to be upside-down in relation to standard population pyramids. populations of the various age groups are quite consistent however there are far more people younger than 15 than in any other age group, this is a larger range than the majority of other groups. There is also a relatively high population of people older than 75, this group does not have an upper limit.

Chart data: Distribution of the population Year 0.178 Younger than 15 years old 0.062 15 to 19 years old 0.056 20 to 24 years old 0.055 25 to 29 years old 0.061 30 to 34 years old 0.063 35 to 39 years old 0.061 40 to 44 years old 0.067 45 to 49 years old 0.066 50 to 54 years old 0.065 55 to 59 years old 0.061 60 to 64 years old 0.058 65 to 69 years old 0.052 70 to 74 years old 0.095 75 years and older

Vega-Lite specification:
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Chart description: The age group of younger than 15 years old had the largest dostribution of the population.  The other age groups from 15years old to 74 years old had a similar distribution of population.

Chart data: Distribution of the population Year 0.178 Younger than 15 years old 0.062 15 to 19 years old 0.056 20 to 24 years old 0.055 25 to 29 years old 0.061 30 to 34 years old 0.063 35 to 39 years old 0.061 40 to 44 years old 0.067 45 to 49 years old 0.066 50 to 54 years old 0.065 55 to 59 years old 0.061 60 to 64 years old 0.058 65 to 69 years old 0.052 70 to 74 years old 0.095 75 years and older

Vega-Lite specification:
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Chart description: There are predominantly more old and young people at both extremes and the middle range is between 15 and 74.

Chart data: Distribution of the population Year 0.178 Younger than 15 years old 0.062 15 to 19 years old 0.056 20 to 24 years old 0.055 25 to 29 years old 0.061 30 to 34 years old 0.063 35 to 39 years old 0.061 40 to 44 years old 0.067 45 to 49 years old 0.066 50 to 54 years old 0.065 55 to 59 years old 0.061 60 to 64 years old 0.058 65 to 69 years old 0.052 70 to 74 years old 0.095 75 years and older

Vega-Lite specification:
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Chart description: The total value of international US imports more than doubles between 2000 and 2019, as measured in US dollars. There is an overall upward trend in imports, although this upward trend is punctuated by small periods of decline. The most sharp period of temporary decline occurs around 2007/2008. The total value of imports increases most rapidly between around 2002-2008.

Chart data: Year Trillion U.S. dollars Dec 31, 1999 1.45 Dec 31, 2000 1.37 Dec 31, 2001 1.4 Dec 31, 2002 1.51 Dec 31, 2003 1.77 Dec 31, 2004 2 Dec 31, 2005 2.22 Dec 31, 2006 2.36 Dec 31, 2007 2.55 Dec 31, 2008 1.97 Dec 31, 2009 2.35 Dec 31, 2010 2.68 Dec 31, 2011 2.76 Dec 31, 2012 2.76 Dec 31, 2013 2.87 Dec 31, 2014 2.76 Dec 31, 2015 2.72 Dec 31, 2016 2.9 Dec 31, 2017 3.13 Dec 31, 2018 3.12

Vega-Lite specification:
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Chart description: This area diagram shows that urbanisation increased steadily over ten years in Bhutan.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.3401 Dec 31, 2009 0.3479 Dec 31, 2010 0.3559 Dec 31, 2011 0.3637 Dec 31, 2012 0.3715 Dec 31, 2013 0.3792 Dec 31, 2014 0.3868 Dec 31, 2015 0.3943 Dec 31, 2016 0.4017 Dec 31, 2017 0.409 Dec 31, 2018 0.4161

Vega-Lite specification:
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Chart description: health and social security seems to be the biggest issue facing Sweden today as indicatedbetween 0.4 and 0.5 of respondents. climate change is closely followed as a major issue with 0.4 of respondents having an issue with this. where government debt seems to be the least issue with less than 0.1 of respondents pointing to this.

Chart data: Share of respondents Response 0.47 Health and social security 0.39 The enviroment, climate and energy issues 0.26 The education system 0.21 Crime 0.2 Immigration 0.11 Housing 0.1 Economic situation 0.06 Pensions 0.04 Unemployment 0.04 Taxation 0.03 Rising prices/ inflation/ cost of living 0.02 Terrorism 0.01 Government debt

Vega-Lite specification:
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Chart description: The median household income has increased across the period from 1990 to 2019. The highest median household income was around 90000 and was found in 2019. The lowest median household income was around 20000 and was found in 2009.

Chart data: Year Household income in current U.S. dollars Dec 31, 1989 27392 Dec 31, 1990 29885 Dec 31, 1991 30247 Dec 31, 1992 27304 Dec 31, 1993 30116 Dec 31, 1994 30748 Dec 31, 1995 31966 Dec 31, 1996 31860 Dec 31, 1997 33433 Dec 31, 1998 38670 Dec 31, 1999 41222 Dec 31, 2000 41169 Dec 31, 2001 39070 Dec 31, 2002 45044 Dec 31, 2003 43451 Dec 31, 2004 44993 Dec 31, 2005 48477 Dec 31, 2006 50783 Dec 31, 2007 55590 Dec 31, 2008 53141 Dec 31, 2009 56928 Dec 31, 2010 55251 Dec 31, 2011 65246 Dec 31, 2012 60675 Dec 31, 2013 68277 Dec 31, 2014 70071 Dec 31, 2015 70982 Dec 31, 2016 83382 Dec 31, 2017 85750 Dec 31, 2018 93111

Vega-Lite specification:
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Chart description: There is a trend of increase over the years shown. from 2010 it appears to increase much faster.

Chart data: Year Household income in current U.S. dollars Dec 31, 1989 27392 Dec 31, 1990 29885 Dec 31, 1991 30247 Dec 31, 1992 27304 Dec 31, 1993 30116 Dec 31, 1994 30748 Dec 31, 1995 31966 Dec 31, 1996 31860 Dec 31, 1997 33433 Dec 31, 1998 38670 Dec 31, 1999 41222 Dec 31, 2000 41169 Dec 31, 2001 39070 Dec 31, 2002 45044 Dec 31, 2003 43451 Dec 31, 2004 44993 Dec 31, 2005 48477 Dec 31, 2006 50783 Dec 31, 2007 55590 Dec 31, 2008 53141 Dec 31, 2009 56928 Dec 31, 2010 55251 Dec 31, 2011 65246 Dec 31, 2012 60675 Dec 31, 2013 68277 Dec 31, 2014 70071 Dec 31, 2015 70982 Dec 31, 2016 83382 Dec 31, 2017 85750 Dec 31, 2018 93111

Vega-Lite specification:
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Chart description: In the 29 years cover in the area chart, the median household income has more than quadrupled from 1990 to 2019, nearly hitting $100k in 2019, on the contrary, in 1990 the household income was just over $20k.

Chart data: Year Household income in current U.S. dollars Dec 31, 1989 27392 Dec 31, 1990 29885 Dec 31, 1991 30247 Dec 31, 1992 27304 Dec 31, 1993 30116 Dec 31, 1994 30748 Dec 31, 1995 31966 Dec 31, 1996 31860 Dec 31, 1997 33433 Dec 31, 1998 38670 Dec 31, 1999 41222 Dec 31, 2000 41169 Dec 31, 2001 39070 Dec 31, 2002 45044 Dec 31, 2003 43451 Dec 31, 2004 44993 Dec 31, 2005 48477 Dec 31, 2006 50783 Dec 31, 2007 55590 Dec 31, 2008 53141 Dec 31, 2009 56928 Dec 31, 2010 55251 Dec 31, 2011 65246 Dec 31, 2012 60675 Dec 31, 2013 68277 Dec 31, 2014 70071 Dec 31, 2015 70982 Dec 31, 2016 83382 Dec 31, 2017 85750 Dec 31, 2018 93111

Vega-Lite specification:
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Chart description: Household income in the US has been steadily increasing over the past 30 years. 2019 income levels are more than quadruple that of 1990. There have been no extended periods of negative growth in income over the observed period. There appears to be an accelaration in income growth during the final 5 years.

Chart data: Year Household income in current U.S. dollars Dec 31, 1989 27392 Dec 31, 1990 29885 Dec 31, 1991 30247 Dec 31, 1992 27304 Dec 31, 1993 30116 Dec 31, 1994 30748 Dec 31, 1995 31966 Dec 31, 1996 31860 Dec 31, 1997 33433 Dec 31, 1998 38670 Dec 31, 1999 41222 Dec 31, 2000 41169 Dec 31, 2001 39070 Dec 31, 2002 45044 Dec 31, 2003 43451 Dec 31, 2004 44993 Dec 31, 2005 48477 Dec 31, 2006 50783 Dec 31, 2007 55590 Dec 31, 2008 53141 Dec 31, 2009 56928 Dec 31, 2010 55251 Dec 31, 2011 65246 Dec 31, 2012 60675 Dec 31, 2013 68277 Dec 31, 2014 70071 Dec 31, 2015 70982 Dec 31, 2016 83382 Dec 31, 2017 85750 Dec 31, 2018 93111

Vega-Lite specification:
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Chart description: 8 out of 10 of the volcanic explosions affected less than 400,000 people. One affected over a million people, and another affected 800,000 people.

Chart data: volcanic eruption and date Number of victims Volcanic eruption in the Philippines (June 9, 1991) 1036065 Volcano eruption in Ecuador (August 14, 2015) 800000 Volcanic eruption in Nicaragua (April 9, 1992) 300075 Volcano eruption in Ecuador (August 14, 2006) 300013 Volcano eruption in Indonesia (April 5, 1982) 300000 Volcano eruption in Indonesia (1969) 250000 Volcanic eruption in Comoros (November 24, 2005) 245000 Volcanic eruption in the Philippines (Feb. 6, 1993) 165009 Volcanic eruption in Papua New Guinea (September 19, 1994) 152002 Volcanic eruption in Indonesia (October 24, 2002) 137140

Vega-Lite specification:
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Chart description: The highest number of victims from volcanic eruptions can be found in the Philippines with over 1,000,000 victims compared to Indonesia where there were less than 200,000 victims. This would indicate that the Philippines is a hazardous country to reside in compared to the other countries sampled.

Chart data: volcanic eruption and date Number of victims Volcanic eruption in the Philippines (June 9, 1991) 1036065 Volcano eruption in Ecuador (August 14, 2015) 800000 Volcanic eruption in Nicaragua (April 9, 1992) 300075 Volcano eruption in Ecuador (August 14, 2006) 300013 Volcano eruption in Indonesia (April 5, 1982) 300000 Volcano eruption in Indonesia (1969) 250000 Volcanic eruption in Comoros (November 24, 2005) 245000 Volcanic eruption in the Philippines (Feb. 6, 1993) 165009 Volcanic eruption in Papua New Guinea (September 19, 1994) 152002 Volcanic eruption in Indonesia (October 24, 2002) 137140

Vega-Lite specification:
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Chart description: The highest average rainfall was in 2011 at roughly 1,800 millieters.

Chart data: Rainfall in millimeters Year 1416.6 2019* 1320.8 2018 1330.9 2017 1380.5 2016 1723.3 2015 1520.5 2014 1322 2013 1456.1 2012 1889.2 2011 1020.7 2010 1463.5 2009 1563.5 2008 1416.4 2007 1592.4 2006 1372.8 2005 1543.2 2004 1038.8 2003 1452.8 2002 1130.2 2001

Vega-Lite specification:
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Chart description: The Spanish seem to be the most difficult to please.

Chart data: Response Share of customers with positive experience Netherlands 0.706 Czech Republic 0.67 Austria 0.668 Switzerland 0.648 Portugal 0.63 Germany 0.623 Poland 0.616 Sweden 0.607 Italy 0.595 United Kingdom 0.584 Finland 0.582 Belgium 0.567 Denmark 0.559 Norway 0.539 France 0.523 Spain 0.357

Vega-Lite specification:
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Chart description: The countries are listed in alphabetical order. The chart shows the Netherlands as the smallest planned spend, and the UK as the highest.

Chart data: Median amount in euros Country 420 United Kingdom 300 Luxembourg 250 France 250 Austria 200 Spain 200 Italy 200 Germany 150 Belgium 150 Czech Republic 110 Romania 70 Poland 40 Netherlands

Vega-Lite specification:
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Chart description: The graph shows that the crowdfunding platform with the highest number of offerings is WeFunder and the platform with the least is Local Stake.

Chart data: Country Amount of offerings Wefunder 95 Start Engine 52 Seed Invest 29 uFunding 18 Dream Funded 14 TruCrowd 13 Nextseed 13 Net Capital 12 Microventures 11 Jumpstart Micro 10 Flashfunders 9 Republic 9 GridShare 7 Growth Fountain 5 Venture.co 4 Crowd Source Funded 3 FundingWonder 2 ibankers 2 Local Stake 1 Open Night Capital 1

Vega-Lite specification:
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Chart description: The amount of direct investments have vastly increased, with only a temporary dip in around 2016.

Chart data: Year Direct investments in billion U.S. dollars Dec 31, 1999 609.67 Dec 31, 2000 684.16 Dec 31, 2001 758.17 Dec 31, 2002 852.11 Dec 31, 2003 1029.92 Dec 31, 2004 1078.38 Dec 31, 2005 1256.6 Dec 31, 2006 1525.25 Dec 31, 2007 1626.35 Dec 31, 2008 1773.75 Dec 31, 2009 1834.56 Dec 31, 2010 2040.5 Dec 31, 2011 2206.48 Dec 31, 2012 2357.33 Dec 31, 2013 2659.12 Dec 31, 2014 2810.01 Dec 31, 2015 3030.6 Dec 31, 2016 3331.28 Dec 31, 2017 3177.28 Dec 31, 2018 3299.1

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