delen/vistext huggingface dataset:
Chart description: The graph shows thats in 2004 there was 0.06 share of companies in the United States that had a racially and ethnically diverse of CEO's. This dropped to 0.04 the following year. In 2008 also the share of companies in the United States that had racially and ethnically diverse of CEO's also stayed at 0.06. After 2012 the level started rising again.

Chart data: Year African American Dec 31, 2003 0.06 Dec 31, 2004 0.04 Dec 31, 2005 0.05 Dec 31, 2006 0.06 Dec 31, 2007 0.06 Dec 31, 2008 0.06 Dec 31, 2009 0.05 Dec 31, 2010 0.06 Dec 31, 2011 0.06 Dec 31, 2012 0.07 Dec 31, 2013 0.06 Dec 31, 2014 0.06 Dec 31, 2015 0.07 Dec 31, 2016 0.06 Dec 31, 2017 0.05

Vega-Lite specification:
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Chart description: Numbers have increased consistently year on year.  The increase in the last 15 years is approx. 50%. Looks like the increase has been approx 100 for each 5 years.

Chart data: Year Men Dec 31, 1999 587.16 Dec 31, 2000 620.51 Dec 31, 2001 645.65 Dec 31, 2002 670.73 Dec 31, 2003 708.46 Dec 31, 2004 718.01 Dec 31, 2005 725.31 Dec 31, 2006 733.97 Dec 31, 2007 751.52 Dec 31, 2008 766.46 Dec 31, 2009 818.71 Dec 31, 2010 845.84 Dec 31, 2011 863.35 Dec 31, 2012 878.7 Dec 31, 2013 892.76 Dec 31, 2014 894.04 Dec 31, 2015 894.91 Dec 31, 2016 908.28 Dec 31, 2017 928.43

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Chart description: there has been an overall increase in the number of female students enrolled in postsecondary institutions in Canada. This increase appears to be year on year and it appears to be a steady increase of roughly 200 per year.

Chart data: Year Women Dec 31, 1999 756.59 Dec 31, 2000 817.46 Dec 31, 2001 853.72 Dec 31, 2002 887.1 Dec 31, 2003 941.77 Dec 31, 2004 957.42 Dec 31, 2005 971.54 Dec 31, 2006 985.19 Dec 31, 2007 998.79 Dec 31, 2008 1019.93 Dec 31, 2009 1069.38 Dec 31, 2010 1100.31 Dec 31, 2011 1118.29 Dec 31, 2012 1135.36 Dec 31, 2013 1156.91 Dec 31, 2014 1153.55 Dec 31, 2015 1154.28 Dec 31, 2016 1164.43 Dec 31, 2017 1181.26

Vega-Lite specification:
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Chart description: There is a substantial increase in women enrolling in post secondary education from 2008 to 2015. 2000 and 2010 were years in which the gradient of increase was elevated. In 2015 there was a slump/reduction in this rate of increase.

Chart data: Year Women Dec 31, 1999 756.59 Dec 31, 2000 817.46 Dec 31, 2001 853.72 Dec 31, 2002 887.1 Dec 31, 2003 941.77 Dec 31, 2004 957.42 Dec 31, 2005 971.54 Dec 31, 2006 985.19 Dec 31, 2007 998.79 Dec 31, 2008 1019.93 Dec 31, 2009 1069.38 Dec 31, 2010 1100.31 Dec 31, 2011 1118.29 Dec 31, 2012 1135.36 Dec 31, 2013 1156.91 Dec 31, 2014 1153.55 Dec 31, 2015 1154.28 Dec 31, 2016 1164.43 Dec 31, 2017 1181.26

Vega-Lite specification:
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Chart description: All grades of boys saw themselves as thinner compared to the girls. All girl grades were close to 0.1 in their response.

Chart data: grade and gender Too thin Boys grade 6 0.13 Boys grade 7 0.17 Boys grade 8 0.19 Boys grade 9 0.2 Boys grade 10 0.23 Girls grade 6 0.11 Girls grade 7 0.12 Girls grade 8 0.1 Girls grade 9 0.09 Girls grade 10 0.09

Vega-Lite specification:
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Chart description: Boys grade 10 shows the highest percentage feeling they were too thin. Girls grade 10 shows the lowest percentage feeling they were too th8n. The boys percentage increases as they get older. The girls percentage decreases from year 7 onwards.

Chart data: grade and gender Too thin Boys grade 6 0.13 Boys grade 7 0.17 Boys grade 8 0.19 Boys grade 9 0.2 Boys grade 10 0.23 Girls grade 6 0.11 Girls grade 7 0.12 Girls grade 8 0.1 Girls grade 9 0.09 Girls grade 10 0.09

Vega-Lite specification:
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Chart description: The United States has the highest global health expenditure of 0.4.

Chart data: 2018 Country 0.41 United States 0.09 China 0.07 Japan 0.05 Germany 0.04 France 0.03 United Kingdom 0.03 Brazil 0.02 Italy 0.02 Canada 0.02 Australia 0.22 Rest of the world

Vega-Lite specification:
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Chart description: The title does not match with the data on this chart. Nothing about post covid unemployment rate can be determined based upon this chart.

Chart data: industry Before COVID-19 Tourism and transportation 0.034 Office work 0.032 Executives 0.024 Service and related industries 0.027 Industrial work 0.033 Retail and sales 0.029 Building and construction 0.038 Child and adolescent related work 0.026 Farming, forestry and fisheries 0.024 Brokers and consultants 0.013 Engineers 0.011 Academic occupations 0.009 Health care 0.01 Education 0.007

Vega-Lite specification:
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Chart description: Tourism has the highest unemployment rate. Education has the lowest rate.

Chart data: industry After COVID-19 Tourism and transportation 0.115 Office work 0.052 Executives 0.049 Service and related industries 0.049 Industrial work 0.048 Retail and sales 0.044 Building and construction 0.044 Child and adolescent related work 0.03 Farming, forestry and fisheries 0.028 Brokers and consultants 0.02 Engineers 0.018 Academic occupations 0.012 Health care 0.012 Education 0.01

Vega-Lite specification:
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Chart description: The tourism and transportation sectors were the most affected by Covid. Healthcare and education were the least affected.

Chart data: industry After COVID-19 Tourism and transportation 0.115 Office work 0.052 Executives 0.049 Service and related industries 0.049 Industrial work 0.048 Retail and sales 0.044 Building and construction 0.044 Child and adolescent related work 0.03 Farming, forestry and fisheries 0.028 Brokers and consultants 0.02 Engineers 0.018 Academic occupations 0.012 Health care 0.012 Education 0.01

Vega-Lite specification:
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Chart description: The visualisation shows that the application that had the highest nickel consumption in the United States from 2009 to 2016 in metric tons was total, followed by stainless and heat resistant steel. Cast irons, chemicals and chemical uses and electric, magnet and expansion alloys are the lowest with zero.

Chart data: Field of application 2015** Cast irons 205 Chemicals and chemical uses 252 Electric, magnet, expansion alloys 192 Electroplating, sales to platers 7490 Nickel-copper and copper-nickel alloys 2240 Stainless and heat resistant steel 127000 Steel alloys, excluding stainless 3330 Superalloys 26900 Other* 29000 Total 197000

Vega-Lite specification:
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Chart description: Medical companies had the highest net income in 2017. However, the lowest net income was 2009. There was a decrease in net income 2011 until 2013 where it began to increase again.

Chart data: European companies Year 6.7 2016* 5.6 2015* 5.3 2014* 5 2013* 5.6 2012* 6.2 2011* 5.9 2010* 4.3 2009*

Vega-Lite specification:
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Chart description: Net income of US and European medical technology companies increases over time. 2017 was the year with the lowest income, and 2019 was the highest.

Chart data: Year Combined 2019** 28.5 2018** 20.5 2017** 15

Vega-Lite specification:
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Chart description: GDP has declined over the 10 year period depicted. Sharpest decrease was 2016 - 17, and this has then slowed.

Chart data: Year Agriculture Dec 31, 2008 0.0271 Dec 31, 2009 0.0239 Dec 31, 2010 0.0229 Dec 31, 2011 0.0217 Dec 31, 2012 0.021 Dec 31, 2013 0.0217 Dec 31, 2014 0.0209 Dec 31, 2015 0.0222 Dec 31, 2016 0.0236 Dec 31, 2017 0.0218 Dec 31, 2018 0.0188

Vega-Lite specification:
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Chart description: The GDP from agriculture has decreased by approximately 20% over the decade 2009 - 2019.

Chart data: Year Agriculture Dec 31, 2008 0.0271 Dec 31, 2009 0.0239 Dec 31, 2010 0.0229 Dec 31, 2011 0.0217 Dec 31, 2012 0.021 Dec 31, 2013 0.0217 Dec 31, 2014 0.0209 Dec 31, 2015 0.0222 Dec 31, 2016 0.0236 Dec 31, 2017 0.0218 Dec 31, 2018 0.0188

Vega-Lite specification:
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Chart description: Slovenia has the highest percentage of dedicated agricultural biotech companies in 2014, closely followed by Spain with over 20%. UK has the lowest percentage with Austria just above. The percentages range from just above 0 to just over 20%.

Chart data: Country Agriculture New Zealand 0.184 Mexico 0.121 Korea 0.029 Portugal 0.174 Poland 0.029 Slovenia 0.219 Belgium 0.127 Germany 0.032 Estonia 0.04 Italy 0.089 Israel 0.135 Austria 0.017 Spain 0.214 United Kingdom 0.005

Vega-Lite specification:
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Chart description: in 2014 Poland had the largest amount of dedicated biotech companies. It would appear that countries with more natural resources have more dedicated biotech companies.

Chart data: Country Natural resources Korea 0 Portugal 0.025 Poland 0.087 Belgium 0 Germany 0.01 Estonia 0.04 Italy 0 Israel 0.015 Austria 0

Vega-Lite specification:
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Chart description: Poland has by far the most dedicated biotech companies on this chart , followed by estonia and Portugal, Israel , then Germany . Austria , Italy Belguim and Korea are all on the chart but show none at all.

Chart data: Country Natural resources Korea 0 Portugal 0.025 Poland 0.087 Belgium 0 Germany 0.01 Estonia 0.04 Italy 0 Israel 0.015 Austria 0

Vega-Lite specification:
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Chart description: Surface transportation has the highest needs with over 2000 and Hazardous and Solid waste needs the least.

Chart data: investment funding and needs for sector Total needs Surface transportation 2042 Water/wastewater infrastructure 150 Electricity 934 Airports 157 Inland waterways & marine ports 37 Dams** 45 Hazardous & solid waste*** 7 Levees 80 Public parks & recreation 114.4 Rail 154.1 Schools 870

Vega-Lite specification:
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Chart description: Number of armed conflicts worldwide have increased overall from 2006 to 2016 from 16 to 26 conflicts.

Chart data: Year Territory Dec 31, 2005 16 Dec 31, 2006 19 Dec 31, 2007 21 Dec 31, 2008 18 Dec 31, 2009 12 Dec 31, 2010 15 Dec 31, 2011 15 Dec 31, 2012 17 Dec 31, 2013 21 Dec 31, 2014 33 Dec 31, 2015 26

Vega-Lite specification:
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Chart description: In 2010 the number of wars was at the lowest point but since then, the number Has continued to Increase and in 2015 was at the highest point.

Chart data: Year Territory Dec 31, 2005 16 Dec 31, 2006 19 Dec 31, 2007 21 Dec 31, 2008 18 Dec 31, 2009 12 Dec 31, 2010 15 Dec 31, 2011 15 Dec 31, 2012 17 Dec 31, 2013 21 Dec 31, 2014 33 Dec 31, 2015 26

Vega-Lite specification:
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Chart description: The most negative impact was in extended low volatility in eq at 0.35. The lowest was the fallout of UKBrekit decision.

Chart data: Negative Impact Response 0.13 President Trump's proposals 0.29 Continued low interest rate environment 0.11 US Fed interest rate increase 0.35 Extended low volatility in equity markets 0.09 Fallout of UKBrekit decision 0.11 Volatility in commodity markets 0.13 Volatility in oil prices 0.16 ZIRP and NIRP* in Europe and Japan 0.23 Extended low volatility in bond markets 0.15 Geopolitical volatility in North Korea

Vega-Lite specification:
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Chart description: There has been a steady increase from 2008 to 2015 in the export volume from Vietnam to Germany. Between 2015 and 2017 the volume increased dramatically from under 6 to over 10 billion US dollars.

Chart data: Year Export to Germany Dec 31, 2007 2.1 Dec 31, 2008 1.9 Dec 31, 2009 2.4 Dec 31, 2010 3.4 Dec 31, 2011 4.1 Dec 31, 2012 4.7 Dec 31, 2013 5.2 Dec 31, 2014 5.7 Dec 31, 2015 10.3 Dec 31, 2016 10.8

Vega-Lite specification:
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Chart description: Vietnam's import volume from and exportvolume to Germany from 2008 to 2017 Was at its highest in 2016.

Chart data: Year Export to Germany Dec 31, 2007 2.1 Dec 31, 2008 1.9 Dec 31, 2009 2.4 Dec 31, 2010 3.4 Dec 31, 2011 4.1 Dec 31, 2012 4.7 Dec 31, 2013 5.2 Dec 31, 2014 5.7 Dec 31, 2015 10.3 Dec 31, 2016 10.8

Vega-Lite specification:
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Chart description: Vietnam's import volume from and export volume to Germany slowly growth from 2008 to 2015. From 2015 to 2016 we can observe an exponential rise as not observed for the previous years.

Chart data: Year Export surplus Dec 31, 2007 0.6 Dec 31, 2008 0.5 Dec 31, 2009 0.6 Dec 31, 2010 1.2 Dec 31, 2011 1.7 Dec 31, 2012 1.8 Dec 31, 2013 2.6 Dec 31, 2014 2.5 Dec 31, 2015 7.3 Dec 31, 2016 6.9

Vega-Lite specification:
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