delen/vistext huggingface dataset:
Chart description: The export value has remained fairly static over the last 10 years.

Chart data: Year Export value in thousand SEK Dec 31, 2007 6416730 Dec 31, 2008 6063440 Dec 31, 2009 5848984 Dec 31, 2010 5623475 Dec 31, 2011 5921751 Dec 31, 2012 5773276 Dec 31, 2013 5819856 Dec 31, 2014 6572597 Dec 31, 2015 6510902 Dec 31, 2016 6454379 Dec 31, 2017 6588168 Dec 31, 2018 6573043

Vega-Lite specification:
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Chart description: Gas emissions have dropped in Finland Agriculture sector from 1990 to 2017 by a small amount.

Chart data: Year Emissions in million tons of CO2 Dec 31, 1989 7.5 Dec 31, 1994 6.8 Dec 31, 1999 6.4 Dec 31, 2009 6.6 Dec 31, 2010 6.4 Dec 31, 2011 6.4 Dec 31, 2012 6.5 Dec 31, 2013 6.5 Dec 31, 2014 6.5 Dec 31, 2015 6.5 Dec 31, 2016 6.5

Vega-Lite specification:
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Chart description: The largest amount of greenhouse gases were emitted in 1990, nearing 8 million tons. From 1990 to 2000 there is a gradual decrease in emissions to around 6 million tons. The number of emissions steadily increasing from 2000 to just before 2010 but at a small incline.

Chart data: Year Emissions in million tons of CO2 Dec 31, 1989 7.5 Dec 31, 1994 6.8 Dec 31, 1999 6.4 Dec 31, 2009 6.6 Dec 31, 2010 6.4 Dec 31, 2011 6.4 Dec 31, 2012 6.5 Dec 31, 2013 6.5 Dec 31, 2014 6.5 Dec 31, 2015 6.5 Dec 31, 2016 6.5

Vega-Lite specification:
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Chart description: A big increase in the number of scanners from 2014 onwards.

Chart data: Year Number of PET scanners Dec 31, 2004 1 Dec 31, 2005 2 Dec 31, 2006 4 Dec 31, 2007 4 Dec 31, 2008 4 Dec 31, 2009 4 Dec 31, 2010 4 Dec 31, 2011 5 Dec 31, 2012 5 Dec 31, 2013 5 Dec 31, 2014 10 Dec 31, 2015 13 Dec 31, 2016 12 Dec 31, 2017 13

Vega-Lite specification:
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Chart description: 2014 to 2016 was the sharpest increase in the number of PET scanners in Greece. 2016 to 2017 was the sharpest decrease seen. The number of PET scanners from 2006 to 2014 showed a stable increase whereas from 2014 has been more volatile and unpredictable.

Chart data: Year Number of PET scanners Dec 31, 2004 1 Dec 31, 2005 2 Dec 31, 2006 4 Dec 31, 2007 4 Dec 31, 2008 4 Dec 31, 2009 4 Dec 31, 2010 4 Dec 31, 2011 5 Dec 31, 2012 5 Dec 31, 2013 5 Dec 31, 2014 10 Dec 31, 2015 13 Dec 31, 2016 12 Dec 31, 2017 13

Vega-Lite specification:
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Chart description: Audiologists seemed to favour sonova brands over other brands followed closely by Demant.

Chart data: Percentage of audiologists Response 0.75 Phonak (Sonova) 0.7 Oticon (Wm. Demant) 0.58 ReSound (GN Group) 0.57 Starkey 0.44 Widex 0.38 Signia 0.29 Unitron (Sonova) 0.17 Lyric (Sonova) 0.07 Sonic (Wm. Demant) 0.04 Other

Vega-Lite specification:
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Chart description: Phonak  was the hearing aid brand with the highest percentage for most often dispensed or prescribed by audiologists in the U.S. as of 2018. Oticon was a close second. A small percent of audiologists used other hearing aid brands not mentioned here. Sonic was not a popular choice of hearing aid brand often dispensed and prescribed by audiologists in the U.S. as of 2018.

Chart data: Percentage of audiologists Response 0.75 Phonak (Sonova) 0.7 Oticon (Wm. Demant) 0.58 ReSound (GN Group) 0.57 Starkey 0.44 Widex 0.38 Signia 0.29 Unitron (Sonova) 0.17 Lyric (Sonova) 0.07 Sonic (Wm. Demant) 0.04 Other

Vega-Lite specification:
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Chart description: Military expenditure slowly increases until its peak in 2015, until there is a sharp decline until 2016 and then there is a slower decline until it stagnates.

Chart data: Response Share of GDP Dec 31, 2006 0.013 Dec 31, 2007 0.012 Dec 31, 2008 0.015 Dec 31, 2009 0.015 Dec 31, 2010 0.014 Dec 31, 2011 0.015 Dec 31, 2012 0.016 Dec 31, 2013 0.016 Dec 31, 2014 0.017 Dec 31, 2015 0.013 Dec 31, 2016 0.012 Dec 31, 2017 0.012 Dec 31, 2018 0.012

Vega-Lite specification:
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Chart description: From the bar graph it can be seen that CNN and the New York Times are the two most popular news barnds, while MSN News is significantly the least popular.

Chart data: Most popular news brands Smartphone users in millions CNN 30.5 The New York Times 30.2 The Washington Post 23.6 Business Insider 23.5 The Huffington Post 21 FOX News 19 USA Today 18.1 CBS News 17.1 Forbes 9.5 MSN News 6.8

Vega-Lite specification:
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Chart description: The most popular news brands are CNN and The New York Times. The least popular was MSN news.

Chart data: Most popular news brands Smartphone users in millions CNN 30.5 The New York Times 30.2 The Washington Post 23.6 Business Insider 23.5 The Huffington Post 21 FOX News 19 USA Today 18.1 CBS News 17.1 Forbes 9.5 MSN News 6.8

Vega-Lite specification:
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Chart description: The majority of universities in Germany have a similiar rating between 50-60 on the scale. LMUY Munich shows the highest score overall, closely followed by Heidelberg University and Technical University of Munich.

Chart data: Highest rated universities Times Higher Education score LMU Munich 77.8 Technical University of Munich 74.1 Heidelberg University 73.5 Humboldt University of Berlin 65 Charité - Universitätsmedizin Berlin 64 University of Freiburg 63.3 University of Tübingen 62.7 RWTH Aachen University 62.2 University of Bonn 61.6 Free University of Berlin 60.1 University of Göttingen 59.5 Ulm University 57.9 University of Hamburg 57.3 Technical University of Berlin 57.3 University of Cologne 56.9 University of Mannheim 56.9 TU Dresden 56.9 University of Würzburg 56.8 Bielefeld University 56.1 Karlsruhe Institute of Technology 55.4

Vega-Lite specification:
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Chart description: The graph indicates that Italy and Vietnam felt COVID posed the biggest threat ot their job or business as of March 14, 2020, with over 60% of respondents feeling this way. By contrast, Russian respondents reported the lowest perceived levels of risk with just over 20% of the population fearing for their job or business. Canada reported the second lowest level of concern, at approximately 30%.

Chart data: Percentage of respondents Response 0.35 Australia 0.29 Canada 0.44 France 0.43 Germany 0.63 Italy 0.34 Japan 0.23 Russia 0.33 United Kingdom 0.37 United States 0.64 Vietnam 0.44 China 0.55 India

Vega-Lite specification:
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Chart description: Vietnam was the country most likely to feel COVID-19 posed a high level of threat. Russia was the country that was least likely to feel COVID-19 posed a high level of threat.

Chart data: Percentage of respondents Response 0.35 Australia 0.29 Canada 0.44 France 0.43 Germany 0.63 Italy 0.34 Japan 0.23 Russia 0.33 United Kingdom 0.37 United States 0.64 Vietnam 0.44 China 0.55 India

Vega-Lite specification:
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Chart description: There has been a rapid increase in US imports over the years.

Chart data: Year Export volume in billion U.S. dollars Dec 31, 1984 16.17 Dec 31, 1985 17.61 Dec 31, 1986 19.1 Dec 31, 1987 21.5 Dec 31, 1988 22.02 Dec 31, 1989 23.51 Dec 31, 1990 28.05 Dec 31, 1991 35.21 Dec 31, 1992 36.84 Dec 31, 1993 41.71 Dec 31, 1994 49.99 Dec 31, 1995 52.6 Dec 31, 1996 63.02 Dec 31, 1997 63.39 Dec 31, 1998 55.15 Dec 31, 1999 59.28 Dec 31, 2000 58.16 Dec 31, 2001 51.55 Dec 31, 2002 51.95 Dec 31, 2003 61.38 Dec 31, 2004 72.32 Dec 31, 2005 88.38 Dec 31, 2006 106.78 Dec 31, 2007 136.95 Dec 31, 2008 109.55 Dec 31, 2009 138.58 Dec 31, 2010 169.01 Dec 31, 2011 183.18 Dec 31, 2012 184.42 Dec 31, 2013 183.85 Dec 31, 2014 152.58 Dec 31, 2015 135.92 Dec 31, 2016 150.37 Dec 31, 2017 164.21 Dec 31, 2018 162.57

Vega-Lite specification:
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Chart description: Revenue started to increase steadily after 19951990-1995 saw hardly any increaseThe overall trend of the graph is positive.

Chart data: Year Average revenue in U.S. dollar cents Dec 31, 1989 14.1 Dec 31, 1994 14.6 Dec 31, 1999 23.2 Dec 31, 2004 27.2 Dec 31, 2005 29.7 Dec 31, 2006 30.7 Dec 31, 2007 31.8 Dec 31, 2008 30.8 Dec 31, 2009 31 Dec 31, 2010 33 Dec 31, 2011 33.9 Dec 31, 2012 35.4 Dec 31, 2013 38 Dec 31, 2014 37.5 Dec 31, 2015 38.4 Dec 31, 2016 39.2 Dec 31, 2017 40.7

Vega-Lite specification:
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Chart description: The price index has shown a trend of increasing overall between 2000 and 2015. The period between 2000 and 200( showed the fastest increase. 2015 saw a drop in the price index but this was quickly recovered.

Chart data: Year Price index Dec 31, 1996 58.11 Dec 31, 1999 60.42 Dec 31, 2004 90.93 Dec 31, 2009 100.48 Dec 31, 2010 105.26 Dec 31, 2011 100 Dec 31, 2012 103.89 Dec 31, 2013 110.45 Dec 31, 2014 100.03 Dec 31, 2015 95.24 Dec 31, 2016 101.01 Dec 31, 2017 108.87

Vega-Lite specification:
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Chart description: In 2009 the average age of PCs was the highest of any other year shown. In 2006, at the start of the chart, the average age was at its lowest of all the years shown.

Chart data: Year Average age in years 2015* 6 2014* 5.8 2013* 5.6 2012* 5.5 2011* 5.7 2010 6.2 2009 5.6 2008 5.4 2007 5.1 2006 5

Vega-Lite specification:
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Chart description: There was a peak in 2010 and then went down and as fluctuated slightly since.

Chart data: Year Average age in years 2015* 6 2014* 5.8 2013* 5.6 2012* 5.5 2011* 5.7 2010 6.2 2009 5.6 2008 5.4 2007 5.1 2006 5

Vega-Lite specification:
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Chart description: Per capita personal income in Idaho has increased between 2000 and 2019. 2009 was the first year since 2000 when personal income was lower than the year before. Personal income did not increase between 2007 and 2008.

Chart data: year Income in U.S. dollars '19 45968 '18 44554 '17 42268 '16 40567 '15 39783 '14 37905 '13 36208 '12 35190 '11 33514 '10 31957 '09 31186 '08 32722 '07 32638 '06 31431 '05 29297 '04 28197 '03 26700 '02 26247 '01 25805 '00 25235

Vega-Lite specification:
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Chart description: apart from a dip 08/09 income has been rising steadilyper capita personal income is now approximately 45kit is up nearly 100% since 2000.

Chart data: year Income in U.S. dollars '19 45968 '18 44554 '17 42268 '16 40567 '15 39783 '14 37905 '13 36208 '12 35190 '11 33514 '10 31957 '09 31186 '08 32722 '07 32638 '06 31431 '05 29297 '04 28197 '03 26700 '02 26247 '01 25805 '00 25235

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Chart description: Mississippi appears to have more people who struggle with the cost of food than other states, but not by much.

Chart data: State Share of respondents answering yes Mississippi 0.249 Alabama 0.229 Delaware 0.221 Georgia 0.216 Nevada 0.215 Arkansas 0.215 Oklahoma 0.214 Tennessee 0.213 West Virginia 0.209 Louisiana 0.207

Vega-Lite specification:
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Chart description: Overall, the bar chart shows that the share of yes responses to the question posed in the header was highest among people living in Mississippi (0.25). The state with the next highest number was Alabama at roughly 0.23. The share of yes responses was roughly equal among all the other states examined but of these, Louisiana had the lowest share at just over 0.2.

Chart data: State Share of respondents answering yes Mississippi 0.249 Alabama 0.229 Delaware 0.221 Georgia 0.216 Nevada 0.215 Arkansas 0.215 Oklahoma 0.214 Tennessee 0.213 West Virginia 0.209 Louisiana 0.207

Vega-Lite specification:
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Chart description: Mississipy experienced a high 25% of respondents saying they struggled to buy food in the lasy 12 months in comparison to the other states surveyed. The data does not say whether the same amount of respondents were surveyed in each state so the data could be skewed.

Chart data: State Share of respondents answering yes Mississippi 0.249 Alabama 0.229 Delaware 0.221 Georgia 0.216 Nevada 0.215 Arkansas 0.215 Oklahoma 0.214 Tennessee 0.213 West Virginia 0.209 Louisiana 0.207

Vega-Lite specification:
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Chart description: The most cited barrier to changing employees' behaviour was lack of employee engagement, whilst the least cited was regulatory limitations and uncertainty. Most of the reasons corresponded to 0-0.25% of respondents.

Chart data: Response Percentage of respondents Lack of employee engagement (i.e., low paticipation or interest in programs) 0.57 Too many other demands on employees 0.34 Lack of evidience about which practices work best 0.23 Lack of adequate budget to support effective health management programs 0.22 Lack of sufficient financial incentives to encourage participation in programs 0.2 Lack of organizational structure to support it 0.18 Not enought time on the part of the employees 0.18 Lack of adequate internal staff 0.17 Lack of senior management support 0.16 Lack of appropriate tools to be succesful 0.16 Poor or inadequate communication of health management programs 0.13 Lack of actionable data 0.13 Poor coordination with partners (e.g., vendors, health plan) 0.09 Regulatory limitations and uncertainty surrounding wellness incentives 0.05

Vega-Lite specification:
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Chart description: In terms of the companies obstacles on employee behaviour change, one leading factor seems to be the lack of employee engagement, as suggested by more than half of the responders, followed by the excessive number of demand on employees, as suggested by about one third of the responders. Most other factors seems to range between 10-20%.

Chart data: Response Percentage of respondents Lack of employee engagement (i.e., low paticipation or interest in programs) 0.57 Too many other demands on employees 0.34 Lack of evidience about which practices work best 0.23 Lack of adequate budget to support effective health management programs 0.22 Lack of sufficient financial incentives to encourage participation in programs 0.2 Lack of organizational structure to support it 0.18 Not enought time on the part of the employees 0.18 Lack of adequate internal staff 0.17 Lack of senior management support 0.16 Lack of appropriate tools to be succesful 0.16 Poor or inadequate communication of health management programs 0.13 Lack of actionable data 0.13 Poor coordination with partners (e.g., vendors, health plan) 0.09 Regulatory limitations and uncertainty surrounding wellness incentives 0.05

Vega-Lite specification:
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Chart description: The linear scale on the Y axis from 0.00 to 1.00 describes the share of the population is marked at 0.2 intervals. The X-axis marks the 10 countries response. 50% of the response sit at 1.0 on the y-axis. The lowest recorded response is for 2 countries which sit at 0.85 on the y-axis.

Chart data: Response Share of population UK 1 Australia 1 France 1 Spain 1 Canada 0.99 US 0.94 Russia 0.92 India 0.9 Brazil 0.85 China 0.85

Vega-Lite specification:
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Chart description: The share of population with access to improved water sources in 2012 ranged between just over 80 percent in Brazil and China to virtually 100 percent in Australia, Canada, France, Spain, and the UK.

Chart data: Response Share of population UK 1 Australia 1 France 1 Spain 1 Canada 0.99 US 0.94 Russia 0.92 India 0.9 Brazil 0.85 China 0.85

Vega-Lite specification:
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