delen/vistext huggingface dataset:
Chart description: The population of Myanmar has grown slowly, but steadily, between 2010 and 2016. In 2010 the population was under 80 people per square kilometer. By 2016 the population was just over 80 people per square kilometer.

Chart data: Year Population density in people per square kilometer Dec 31, 2008 76.23 Dec 31, 2009 76.78 Dec 31, 2010 77.38 Dec 31, 2011 78.06 Dec 31, 2012 78.78 Dec 31, 2013 79.51 Dec 31, 2014 80.24 Dec 31, 2015 80.98 Dec 31, 2016 81.72 Dec 31, 2017 82.24

Vega-Lite specification:
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Chart description: In this graph it is clear that there is a steady increase in population density of Myanmar from 2009 to 2018 per square kilometre.

Chart data: Year Population density in people per square kilometer Dec 31, 2008 76.23 Dec 31, 2009 76.78 Dec 31, 2010 77.38 Dec 31, 2011 78.06 Dec 31, 2012 78.78 Dec 31, 2013 79.51 Dec 31, 2014 80.24 Dec 31, 2015 80.98 Dec 31, 2016 81.72 Dec 31, 2017 82.24

Vega-Lite specification:
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Chart description: The United States had the highest share of the global market of wastewater treatment plants and utilities in in 2010. In 2010 there were two leading competitors in the global wastewater treatment plant and utilities sector, these werbWestern Europe and the United States. In 2010 the Middle East region had a very small share of revenue gained in the wastewater and utilities market.

Chart data: Revenue share Country 0.36 United States 0.29 Western Europe 0.1 Asia 0.08 Japan 0.07 Latin America 0.02 Eastern Europe 0.02 Australia and New Zealand 0.02 Africa 0.02 Canada 0.02 Middle East

Vega-Lite specification:
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Chart description: the above chart points out that western countries companies have consistently outperformed the rest of the market.

Chart data: Revenue share Country 0.36 United States 0.29 Western Europe 0.1 Asia 0.08 Japan 0.07 Latin America 0.02 Eastern Europe 0.02 Australia and New Zealand 0.02 Africa 0.02 Canada 0.02 Middle East

Vega-Lite specification:
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Chart description: There was a spike in unemployment during the first quarter of 2020, this would correlate with the reaction by governments globally when reacting to the Covid 19 pandemic. There is a further spike in July/August. which would indicate the economy stalling due to restrictions enforced on the population and therefore the economy which resulted in job losses from the restrictions being enforced over the last quarter.

Chart data: Month Unemployment rate Jun 30, 2019 0.068 Jul 31, 2019 0.069 Aug 31, 2019 0.069 Sep 30, 2019 0.069 Oct 31, 2019 0.07 Nov 30, 2019 0.07 Dec 31, 2019 0.071 Jan 31, 2020 0.072 Feb 29, 2020 0.073 Mar 31, 2020 0.08 Apr 30, 2020 0.079 May 31, 2020 0.092 Jun 30, 2020 0.091 Jul 31, 2020 0.09 Aug 31, 2020 0.088 Sep 30, 2020 0.087 Oct 31, 2020 0.086

Vega-Lite specification:
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Chart description: The richest college in 2009 was Harvard, by a large margin at 40 billion dollars. Princeton, Stanford, Texas and Yale had wealth of more than 20 billion.

Chart data: Endowment fund value in billion U.S. dollars university 39.43 Harvard University, MA 30.96 The University of Texas System, TX 30.31 Yale University, CT 27.7 Stanford University, CA 26.12 Princeton University, NJ 17.57 Massachusetts Institute of Technology, MA 14.65 University of Pennsylvania, PA 13.51 The Texas A&M University System, TX 12.45 University of Michigan, MI 11.8 University of California, CA 11.27 University of Notre Dame, IN 11.09 Northwestern University, IL 10.95 Columbia University, NY 8.61 Duke University, NC 8.26 The University of Chicago, IL 7.95 Washington University in St. Louis, MO 7.87 Emory University, GA 7.33 Cornell University, NY 7.06 University of Virginia, VA 6.48 Rice University, TX

Vega-Lite specification:
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Chart description: Rice University, TX is one of the least richest on the chart and Harvard University, MA is one of the richest.  There are another four universities which are similar in their value of over 20 billion dollars.  All others are at the lesser end of the scale with below 20 billion dollars.

Chart data: Endowment fund value in billion U.S. dollars university 39.43 Harvard University, MA 30.96 The University of Texas System, TX 30.31 Yale University, CT 27.7 Stanford University, CA 26.12 Princeton University, NJ 17.57 Massachusetts Institute of Technology, MA 14.65 University of Pennsylvania, PA 13.51 The Texas A&M University System, TX 12.45 University of Michigan, MI 11.8 University of California, CA 11.27 University of Notre Dame, IN 11.09 Northwestern University, IL 10.95 Columbia University, NY 8.61 Duke University, NC 8.26 The University of Chicago, IL 7.95 Washington University in St. Louis, MO 7.87 Emory University, GA 7.33 Cornell University, NY 7.06 University of Virginia, VA 6.48 Rice University, TX

Vega-Lite specification:
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Chart description: Harvard University has the biggest endowment fund value at just under 40 billion US dollars. Rice University has the least endowment fund value reaching approximately 7 billion US dollars. Harvard University has 10 billion more than the 2nd largest university endowment fund, which is The Unversity of Texas.

Chart data: Endowment fund value in billion U.S. dollars university 39.43 Harvard University, MA 30.96 The University of Texas System, TX 30.31 Yale University, CT 27.7 Stanford University, CA 26.12 Princeton University, NJ 17.57 Massachusetts Institute of Technology, MA 14.65 University of Pennsylvania, PA 13.51 The Texas A&M University System, TX 12.45 University of Michigan, MI 11.8 University of California, CA 11.27 University of Notre Dame, IN 11.09 Northwestern University, IL 10.95 Columbia University, NY 8.61 Duke University, NC 8.26 The University of Chicago, IL 7.95 Washington University in St. Louis, MO 7.87 Emory University, GA 7.33 Cornell University, NY 7.06 University of Virginia, VA 6.48 Rice University, TX

Vega-Lite specification:
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Chart description: The most popular payment measure by far is in store, with a share of respondents greater than 0.4. All other payment measures have a share of respondents less than 0.15, and those with the lowest share of respondents are smart home device, wearables/contactless and other.

Chart data: Response Share of respondents In-store 0.41 Other online 0.14 Buy buttons 0.09 Other mobile transfers 0.08 P2P transfer 0.07 Mobile messenger apps 0.07 QR codes 0.05 Other in-app payments 0.04 Smart home device 0.02 Wearables / contactless 0.02 Other 0.02

Vega-Lite specification:
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Chart description: Mail order pharmaceutical sales did not decrease in any year, year-on-year, between 2008-2019. By 2019, mail order pharmaceuticals were nearly 7 times higher than in 2008. The largest individual increase appears to have been between 2010-11 and 2011-12, with 2009-10 to 2010-11 seeing nearly as large an increase. After 2012, the rate of growth slowed before picking up again 2016-16 and 2016-17. Growth finally plateaud between 2017-18 and 2018-19.

Chart data: Year Number of pharmacies 2018-19 349 2017-18 350 2016-17 321 2015-16 266 2014-15 227 2013-14 211 2012-13 200 2011-12 176 2010-11 122 2009-10 76 2008-09 56

Vega-Lite specification:
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Chart description: The number of distance selling/mail order pharmacies in England increased consistently from 2008/09 to 2018/19, from just over 50 in 2008/09 to at least 350 in 2018/19.

Chart data: Year Number of pharmacies 2018-19 349 2017-18 350 2016-17 321 2015-16 266 2014-15 227 2013-14 211 2012-13 200 2011-12 176 2010-11 122 2009-10 76 2008-09 56

Vega-Lite specification:
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Chart description: Revenue has steadily grown each year overall. The largest jump in revenue was 2014/2015. Annual revenue has risen by 2 billion since 2009.

Chart data: Revenue in billion euros financial years 10.7 2019/20 10.31 2018/19 10.26 2017/18 10.01 2016/17** 10.63 2015/16 10.68 2014/15 9.82 2013/14* 9.64 2012/13 9.55 2011/12 9.29 2010/11 9.04 2009/10 9.41 2008/09

Vega-Lite specification:
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Chart description: Revenue was at it's lowest in 2008, peaking in 2014 and 2015. It declined after, but is slowly going back up. This is fairly similar from 2008 to 2013.

Chart data: Revenue in billion euros financial years 10.7 2019/20 10.31 2018/19 10.26 2017/18 10.01 2016/17** 10.63 2015/16 10.68 2014/15 9.82 2013/14* 9.64 2012/13 9.55 2011/12 9.29 2010/11 9.04 2009/10 9.41 2008/09

Vega-Lite specification:
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Chart description: The largest number of beds were in years 2010 and 2011. Each subsequent year has seen a very small reduction in beds.

Chart data: Number of hospital beds in thousands Year 410.23 2019* 415.01 2018 416.18 2017 418.68 2016 422.87 2015 430.6 2014 431.5 2013 433.2 2012 437.29 2011 435.79 2010

Vega-Lite specification:
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Chart description: Since 2010 and 2011 the number of hospital beds in Brazil have dropped from well over 400,000 to just over 400,000. The graph shows that the rate has steadily declined each year.

Chart data: Number of hospital beds in thousands Year 410.23 2019* 415.01 2018 416.18 2017 418.68 2016 422.87 2015 430.6 2014 431.5 2013 433.2 2012 437.29 2011 435.79 2010

Vega-Lite specification:
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Chart description: There are approximately 400,000 hospital beds available in the country of Brazil. There is a general reduction in the number of hospital beds available over the span of nine years.

Chart data: Number of hospital beds in thousands Year 410.23 2019* 415.01 2018 416.18 2017 418.68 2016 422.87 2015 430.6 2014 431.5 2013 433.2 2012 437.29 2011 435.79 2010

Vega-Lite specification:
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Chart description: We can see an increase in the Real Gross Domestic Product (GDP) of the federal state of Iowa from 2000 to 2019, with a slight decrease in some years between 2000 and 2019 but still with an increased tendency.

Chart data: Year Real GDP in billion U.S. dollars Dec 31, 1999 122.16 Dec 31, 2000 120.67 Dec 31, 2001 124.1 Dec 31, 2002 129.32 Dec 31, 2003 139.75 Dec 31, 2004 143.88 Dec 31, 2005 145.89 Dec 31, 2006 152.25 Dec 31, 2007 149.13 Dec 31, 2008 145.62 Dec 31, 2009 149.54 Dec 31, 2010 151.25 Dec 31, 2011 157.25 Dec 31, 2012 156.64 Dec 31, 2013 165.09 Dec 31, 2014 169.38 Dec 31, 2015 168.88 Dec 31, 2016 168.43 Dec 31, 2017 172.07 Dec 31, 2018 173.69

Vega-Lite specification:
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Chart description: Steady increase over the years. Small peak in between 2005 and 2010.

Chart data: Year Real GDP in billion U.S. dollars Dec 31, 1999 122.16 Dec 31, 2000 120.67 Dec 31, 2001 124.1 Dec 31, 2002 129.32 Dec 31, 2003 139.75 Dec 31, 2004 143.88 Dec 31, 2005 145.89 Dec 31, 2006 152.25 Dec 31, 2007 149.13 Dec 31, 2008 145.62 Dec 31, 2009 149.54 Dec 31, 2010 151.25 Dec 31, 2011 157.25 Dec 31, 2012 156.64 Dec 31, 2013 165.09 Dec 31, 2014 169.38 Dec 31, 2015 168.88 Dec 31, 2016 168.43 Dec 31, 2017 172.07 Dec 31, 2018 173.69

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Chart description: the value of iron and steel imported has on average risen, reaching a peak in 2019.

Chart data: Import value in billion Indian rupees financial year 1086.55 FY 2020 1235.01 FY 2019 942.06 FY 2018 783.88 FY 2017 979.6 FY 2016 997.53 FY 2015 765.87 FY 2014 963.1 FY 2013 874.82 FY 2012 665.16 FY 2011

Vega-Lite specification:
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Chart description: Frontier Airlines has been increasing the number of passengers that it carries. This increase has accelerated substantially in the last five years of data. Numbers were increasing rapidly up to the credit crunch of 2008. 2008-2012 saw a period where numbers were broadly flat year-on-year, in a break to the general trend. Passengers carried rose between 2004-2008 - from ~6.5million to ~10.5million. Annual passenger numbers then stagnated in the 9-11 million range before accelerating quickly to around 23 million by 2019.

Chart data: Year Number of passengers in millions Dec 31, 2003 6.41 Dec 31, 2004 7.31 Dec 31, 2005 8.9 Dec 31, 2006 10.36 Dec 31, 2007 10.58 Dec 31, 2008 9.39 Dec 31, 2009 9.25 Dec 31, 2010 10.6 Dec 31, 2011 10.31 Dec 31, 2012 10.21 Dec 31, 2013 11.66 Dec 31, 2014 12.57 Dec 31, 2015 14.77 Dec 31, 2016 16.8 Dec 31, 2017 19.43 Dec 31, 2018 22.67

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Chart description: The total assets of the industrial and commercial bank of China has increased at a steady rate between 2008 and 2019.

Chart data: Year Total assets in billion yuan Dec 31, 2007 9757.1 Dec 31, 2008 11785.1 Dec 31, 2009 13458.6 Dec 31, 2010 15476.9 Dec 31, 2011 17542.2 Dec 31, 2012 18917.8 Dec 31, 2013 20609.95 Dec 31, 2014 22209.78 Dec 31, 2015 24137.27 Dec 31, 2016 26087.04 Dec 31, 2017 27699.54 Dec 31, 2018 30109.44

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Chart description: The total assets has steadily increased from 2008-2019, starting at 10,000 in 2008 and ending at 30,000 in 2019.

Chart data: Year Total assets in billion yuan Dec 31, 2007 9757.1 Dec 31, 2008 11785.1 Dec 31, 2009 13458.6 Dec 31, 2010 15476.9 Dec 31, 2011 17542.2 Dec 31, 2012 18917.8 Dec 31, 2013 20609.95 Dec 31, 2014 22209.78 Dec 31, 2015 24137.27 Dec 31, 2016 26087.04 Dec 31, 2017 27699.54 Dec 31, 2018 30109.44

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Chart description: Poverty for Asian families in the US has fallen since its all time high in 2005.

Chart data: Response Percentage of poor Asian families Dec 31, 2001 0.074 Dec 31, 2002 0.102 Dec 31, 2003 0.074 Dec 31, 2004 0.09 Dec 31, 2005 0.078 Dec 31, 2006 0.079 Dec 31, 2007 0.098 Dec 31, 2008 0.094 Dec 31, 2009 0.093 Dec 31, 2010 0.097 Dec 31, 2011 0.094 Dec 31, 2012 0.087 Dec 31, 2013 0.089 Dec 31, 2014 0.08 Dec 31, 2015 0.072 Dec 31, 2016 0.078 Dec 31, 2017 0.076 Dec 31, 2018 0.057

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Chart description: The number of international students in the United States grew from 2005/6 to 2017/18. The 2 years with the highest number of international students in the United States was 2017/18 and 2018/19.

Chart data: Number of students Year 1075496 2019/20 1095299 2018/19 1094792 2017/18 1078822 2016/17 1043839 2015/16 974926 2014/15 886052 2013/14 819644 2012/13 764495 2011/12 723277 2010/11 690923 2009/10 671616 2008/09 623805 2007/08 582984 2006/07 564766 2005/06 565039 2004/05 572509 2003/04

Vega-Lite specification:
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Chart description: The graph shows that in 2012, Nintendo released its 3DS. Sales skyrocketed to almost 15 million units throughout 2012, in 2012 to 2014, the sales dipped down steeply. In 2016 to 1017 the sales increased again. After 2017, the sales dropped at a reasonably steep rate, and then in 2018 the sales dropped steeply, and then continued to drop but the line was less steep.

Chart data: Year Sales in million units Dec 31, 2010 3.61 Dec 31, 2011 13.53 Dec 31, 2012 13.95 Dec 31, 2013 12.24 Dec 31, 2014 8.73 Dec 31, 2015 6.79 Dec 31, 2016 7.27 Dec 31, 2017 6.4 Dec 31, 2018 2.55 Dec 31, 2019 0.69

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Chart description: The budget balance to GDP ratio is negative for the whole period between 2015 and 2025. The ratio is mainly above -0.05 with the exception of 2020 and 2021. The ratio is a lot more negative in 2020, almost -0.15,  before increasing to just above -0.05 in 2021. After 2021, the ratio returns to a similar level as before 2020.

Chart data: Budget balance to GDP ratio Year −0.0274 2025* −0.0265 2024* −0.0277 2023* −0.032 2022* −0.0642 2021* −0.1415 2020* −0.033 2019* −0.025 2018 −0.0312 2017 −0.037 2016 −0.0381 2015

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