delen/vistext huggingface dataset:
Chart description: The chart shows that the population of Hong Kong is gradually aging as more people are living outside of the 15-64 boundary. This can suggest an increase in life expectancy and can also suggest that infant mortality rates are decreasing as there are more people under the age of 15 as well as more people above the age of 64.

Chart data: Year 15-64 years Dec 31, 2008 0.75 Dec 31, 2009 0.7512 Dec 31, 2010 0.7511 Dec 31, 2011 0.75 Dec 31, 2012 0.7473 Dec 31, 2013 0.7428 Dec 31, 2014 0.7365 Dec 31, 2015 0.7305 Dec 31, 2016 0.7222 Dec 31, 2017 0.7122 Dec 31, 2018 0.7018

Vega-Lite specification:
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Chart description: Age distribution from 0.12 in 2009.  Gradually increased to 0.19 in 2019.

Chart data: Year 65 years + Dec 31, 2008 0.1269 Dec 31, 2009 0.1295 Dec 31, 2010 0.1324 Dec 31, 2011 0.1365 Dec 31, 2012 0.1415 Dec 31, 2013 0.1467 Dec 31, 2014 0.1519 Dec 31, 2015 0.1575 Dec 31, 2016 0.1631 Dec 31, 2017 0.1688 Dec 31, 2018 0.175

Vega-Lite specification:
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Chart description: the distribution of the workforce has remained pretty constant with a slight increase from 2010 to 2018.

Chart data: Year Services Dec 31, 2009 0.7804 Dec 31, 2010 0.7793 Dec 31, 2011 0.7779 Dec 31, 2012 0.779 Dec 31, 2013 0.7811 Dec 31, 2014 0.7843 Dec 31, 2015 0.7871 Dec 31, 2016 0.7896 Dec 31, 2017 0.7894 Dec 31, 2018 0.7907 Dec 31, 2019 0.7918

Vega-Lite specification:
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Chart description: The revenue was at a steady level of 80, reaching a peak of 118 in 2014. There has been a slow decline until 2018 when the figures begin to increase again.

Chart data: Year Middle East & Africa Dec 31, 2009 93.86 Dec 31, 2010 83.11 Dec 31, 2011 82.25 Dec 31, 2012 82.22 Dec 31, 2013 114.47 Dec 31, 2014 110.85 Dec 31, 2015 106.49 Dec 31, 2016 106.33 Dec 31, 2017 102.39 Dec 31, 2018 107.2

Vega-Lite specification:
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Chart description: The RevPAR of Marriott International hotels worldwide has increased by a small percentage overall between 2010 and 2019.

Chart data: Year Overall worldwide Dec 31, 2009 103.3 Dec 31, 2010 129.96 Dec 31, 2011 115.91 Dec 31, 2012 122.32 Dec 31, 2013 131.83 Dec 31, 2014 132.3 Dec 31, 2015 128.37 Dec 31, 2016 131.14 Dec 31, 2017 134.58 Dec 31, 2018 134.6

Vega-Lite specification:
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Chart description: C&J Clark were the biggest retailer of 2012. Tesco had the lowest market share.

Chart data: Leading footwear retailers 2012* C&J Clark 0.111 Sports Direct 0.079 Marks & Spencer 0.071 JD Sports Fashion 0.066 Next 0.049 Kurt Geiger 0.042 Primark 0.039 New Look 0.038 Office 0.034 Schuh 0.032 Shoe Zone Group 0.03 River Island 0.029 Asda 0.028 Barratt Priceless 0.025 Dune Group 0.022 Brantano 0.019 Debenhams 0.018 Tesco 0.017

Vega-Lite specification:
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Chart description: There has been an increase in the internet penetration rate across the ten year period, although there was a slight drop around 2017. The biggest increase came between 2012 and 2016.

Chart data: Year Rest of the World Dec 31, 2008 0.266 Dec 31, 2009 0.287 Dec 31, 2010 0.326 Dec 31, 2011 0.341 Dec 31, 2013 0.421 Dec 31, 2014 0.462 Dec 31, 2015 0.493 Dec 31, 2016 0.489 Dec 31, 2017 0.541 Dec 31, 2018 0.568

Vega-Lite specification:
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Chart description: Manchester United revenue has fluctuated between 2009 and 2020, but there is higher in 2020 than it was in 2009.

Chart data: Year Broadcasting Dec 31, 2008 128.9 Dec 31, 2009 135.83 Dec 31, 2010 154.2 Dec 31, 2011 136.76 Dec 31, 2012 133.66 Dec 31, 2013 178.6 Dec 31, 2014 141.64 Dec 31, 2015 184.7 Dec 31, 2016 255.27 Dec 31, 2017 268.47 Dec 31, 2018 306.32 Dec 31, 2019 173.41

Vega-Lite specification:
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Chart description: The Line graph illustrates that Manchester United revenue (in million U.S. dollars) peaked in 2018 at around 300 millions. The worst year for revenue was 2009 where revenue fell to under 150 million.

Chart data: Year Broadcasting Dec 31, 2008 128.9 Dec 31, 2009 135.83 Dec 31, 2010 154.2 Dec 31, 2011 136.76 Dec 31, 2012 133.66 Dec 31, 2013 178.6 Dec 31, 2014 141.64 Dec 31, 2015 184.7 Dec 31, 2016 255.27 Dec 31, 2017 268.47 Dec 31, 2018 306.32 Dec 31, 2019 173.41

Vega-Lite specification:
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Chart description: The rate of deaths for those diagnosed with covid 19 rose exponentially with ago.

Chart data: Year Deaths 9 years and younger 0 10 to 19 years 0 20 to 29 years 0 30 to 39 years 2 40 to 49 years 8 50 to 59 years 16 60 to 69 years 44 70 to 79 years 102 80 years and older 228 Age unknown 3

Vega-Lite specification:
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Chart description: The age structure of Ghana has decreased at a steady rate from 2009 to 2019.  It reduces from 0.4 to approximately 0.375, but the scale is not detailed enough to show the exact number.

Chart data: Year 0-14 years Dec 31, 2008 0.396 Dec 31, 2009 0.3929 Dec 31, 2010 0.3908 Dec 31, 2011 0.3887 Dec 31, 2012 0.3865 Dec 31, 2013 0.3842 Dec 31, 2014 0.3819 Dec 31, 2015 0.3802 Dec 31, 2016 0.3782 Dec 31, 2017 0.376 Dec 31, 2018 0.3736

Vega-Lite specification:
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Chart description: In Ghana, the birth rate is steadily decreasing over the past 10 years.

Chart data: Year 0-14 years Dec 31, 2008 0.396 Dec 31, 2009 0.3929 Dec 31, 2010 0.3908 Dec 31, 2011 0.3887 Dec 31, 2012 0.3865 Dec 31, 2013 0.3842 Dec 31, 2014 0.3819 Dec 31, 2015 0.3802 Dec 31, 2016 0.3782 Dec 31, 2017 0.376 Dec 31, 2018 0.3736

Vega-Lite specification:
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Chart description: The age structure reached its highest peak value of 0.6 in 2019.

Chart data: Year 15-64 years Dec 31, 2008 0.5757 Dec 31, 2009 0.5788 Dec 31, 2010 0.5804 Dec 31, 2011 0.5822 Dec 31, 2012 0.584 Dec 31, 2013 0.5859 Dec 31, 2014 0.588 Dec 31, 2015 0.5895 Dec 31, 2016 0.5913 Dec 31, 2017 0.5934 Dec 31, 2018 0.5954

Vega-Lite specification:
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Chart description: Over the years the amount of citizens in Ghana over 65 has been gradually increasing.

Chart data: Year 65 years and older Dec 31, 2008 0.0283 Dec 31, 2009 0.0284 Dec 31, 2010 0.0287 Dec 31, 2011 0.0291 Dec 31, 2012 0.0295 Dec 31, 2013 0.0298 Dec 31, 2014 0.03 Dec 31, 2015 0.0303 Dec 31, 2016 0.0305 Dec 31, 2017 0.0307 Dec 31, 2018 0.031

Vega-Lite specification:
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Chart description: The number of high net individuals has slowly increased as the years have gone on, with a slight dip in 2018 and then a peak at its highest yet in 2019.

Chart data: Year United Kingdom 2019 591 2018 556 2017* 575 2016 568.3 2015 552.8 2014 549.6 2013 527.5 2012 465.1 2011 441.3 2010 454.3 2009 448.1

Vega-Lite specification:
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Chart description: There is a decreasing number of 0-14 year olds between 2009 and 2019 The decrease is less than 0.05 over 10 years There was the least decrease between 2009-2010.

Chart data: Year 0-14 years Dec 31, 2008 0.2891 Dec 31, 2009 0.2883 Dec 31, 2010 0.2852 Dec 31, 2011 0.2827 Dec 31, 2012 0.2804 Dec 31, 2013 0.2777 Dec 31, 2014 0.2745 Dec 31, 2015 0.2723 Dec 31, 2016 0.2691 Dec 31, 2017 0.2655 Dec 31, 2018 0.2622

Vega-Lite specification:
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Chart description: The percentage of people in Indonesia over 65 has increased over the 10 years from 5% to 6%. This was a gradual increase with no apparent decreases over the years. The number of people over 65 years old still makes up only a small part of the population of Indonesia.

Chart data: Year 65 years and older Dec 31, 2008 0.0497 Dec 31, 2009 0.0496 Dec 31, 2010 0.0504 Dec 31, 2011 0.0512 Dec 31, 2012 0.0519 Dec 31, 2013 0.0528 Dec 31, 2014 0.0538 Dec 31, 2015 0.0552 Dec 31, 2016 0.0568 Dec 31, 2017 0.0586 Dec 31, 2018 0.0605

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Chart description: Non-athlete numbers increased steadily from 2000 to 2020.

Chart data: Year Non-Athlete Dec 31, 1999 25732 Dec 31, 2000 26151 Dec 31, 2001 26322 Dec 31, 2002 27652 Dec 31, 2003 27314 Dec 31, 2004 27847 Dec 31, 2005 28416 Dec 31, 2006 28695 Dec 31, 2007 28447 Dec 31, 2008 29557 Dec 31, 2009 30554 Dec 31, 2010 31154 Dec 31, 2011 32013 Dec 31, 2012 34480 Dec 31, 2013 36521 Dec 31, 2014 37399 Dec 31, 2015 38375 Dec 31, 2016 39154 Dec 31, 2017 39637 Dec 31, 2018 40273

Vega-Lite specification:
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Chart description: Between 2000 to 2019 the number of non-athlete members of USA swimming has risen from around 25,000 to just above 40,000. The rise in membership was steady between 2000 to 2012; but thereafter saw a sharper rise before returning to previous rate around 2014.

Chart data: Year Non-Athlete Dec 31, 1999 25732 Dec 31, 2000 26151 Dec 31, 2001 26322 Dec 31, 2002 27652 Dec 31, 2003 27314 Dec 31, 2004 27847 Dec 31, 2005 28416 Dec 31, 2006 28695 Dec 31, 2007 28447 Dec 31, 2008 29557 Dec 31, 2009 30554 Dec 31, 2010 31154 Dec 31, 2011 32013 Dec 31, 2012 34480 Dec 31, 2013 36521 Dec 31, 2014 37399 Dec 31, 2015 38375 Dec 31, 2016 39154 Dec 31, 2017 39637 Dec 31, 2018 40273

Vega-Lite specification:
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Chart description: The number of non-althete members of the USA swimming members has increased from 2000 to 2015, from 26,000 to 40,000. The biggest increase in non-athlete members took place from 2012-2014, increasing by 5,000.

Chart data: Year Non-Athlete Dec 31, 1999 25732 Dec 31, 2000 26151 Dec 31, 2001 26322 Dec 31, 2002 27652 Dec 31, 2003 27314 Dec 31, 2004 27847 Dec 31, 2005 28416 Dec 31, 2006 28695 Dec 31, 2007 28447 Dec 31, 2008 29557 Dec 31, 2009 30554 Dec 31, 2010 31154 Dec 31, 2011 32013 Dec 31, 2012 34480 Dec 31, 2013 36521 Dec 31, 2014 37399 Dec 31, 2015 38375 Dec 31, 2016 39154 Dec 31, 2017 39637 Dec 31, 2018 40273

Vega-Lite specification:
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Chart description: the conclusion we can see from the bar chart is that Russia have dominated the field in the gold medal count with Canada coming a close second. Secondly, Austria, Germany and Switzerland failed to gain any gold medals.

Chart data: Gold Country 27 Russia* 26 Canada 12 Czech Republic* 11 Sweden 2 USA 3 Finland 1 Great Britain 1 Slovakia 0 Switzerland 0 Germany 0 Austria

Vega-Lite specification:
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Chart description: I can see that the share of agriculuture within the United Arab Emirates statrted at a healthy level, before declining for 4 years, after which the economic agriculture raised and maintained.

Chart data: Year Agriculture Dec 31, 2008 0.0104 Dec 31, 2009 0.0076 Dec 31, 2010 0.0067 Dec 31, 2011 0.0064 Dec 31, 2012 0.0064 Dec 31, 2013 0.0064 Dec 31, 2014 0.0074 Dec 31, 2015 0.0078 Dec 31, 2016 0.0077 Dec 31, 2017 0.0074 Dec 31, 2018 0.0073

Vega-Lite specification:
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Chart description: In Saudi Arabia, on average Industry produces half of the gross domestic product. This figure varies year by year within a range of 0.4 to 0.6.

Chart data: Year Industry Dec 31, 2008 0.5204 Dec 31, 2009 0.5253 Dec 31, 2010 0.5804 Dec 31, 2011 0.5745 Dec 31, 2012 0.5501 Dec 31, 2013 0.5276 Dec 31, 2014 0.4389 Dec 31, 2015 0.4145 Dec 31, 2016 0.4257 Dec 31, 2017 0.4703 Dec 31, 2018 0.4616

Vega-Lite specification:
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Chart description: India's GDP has decreased from 2009 to 2019. Agriculture has been 0.15 and above from 2009 to 2019. There was an increase in GDP between 2009 and 2011. There was a decrease in GDP between 2011 and 2012. There was an increase in GDP between 2012 and 2013. There was a decrease in GDP between 2013 and 2015. There was a slight increase in GDP between 2015 and 2017. There was a decrease in GDP between 2017 and 2018. There was an increase in GDP between 2018 and 2019.

Chart data: Year Agriculture Dec 31, 2008 0.1674 Dec 31, 2009 0.1703 Dec 31, 2010 0.1719 Dec 31, 2011 0.1685 Dec 31, 2012 0.1715 Dec 31, 2013 0.1679 Dec 31, 2014 0.1617 Dec 31, 2015 0.1636 Dec 31, 2016 0.1636 Dec 31, 2017 0.1541 Dec 31, 2018 0.1596

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Chart description: The age structure has only decreased very mildly over the years 2009 to 2019. It has been a consistent decrease though at a steady rate.

Chart data: Year 15-64 years Dec 31, 2008 0.7179 Dec 31, 2009 0.7192 Dec 31, 2010 0.7182 Dec 31, 2011 0.7175 Dec 31, 2012 0.7167 Dec 31, 2013 0.7157 Dec 31, 2014 0.7142 Dec 31, 2015 0.7135 Dec 31, 2016 0.7121 Dec 31, 2017 0.7101 Dec 31, 2018 0.7077

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Chart description: The age of the older population of Thailand has increased since 2009 and 2019.  It had been a slow steady increase over the years.

Chart data: Year 65 years and older Dec 31, 2008 0.0864 Dec 31, 2009 0.089 Dec 31, 2010 0.0919 Dec 31, 2011 0.095 Dec 31, 2012 0.0984 Dec 31, 2013 0.1021 Dec 31, 2014 0.106 Dec 31, 2015 0.1101 Dec 31, 2016 0.1144 Dec 31, 2017 0.119 Dec 31, 2018 0.1241

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Chart description: Agriculture GDP peaked in 2011 and has been declining steady since.

Chart data: Year Agriculture Dec 31, 2008 0.3349 Dec 31, 2009 0.3388 Dec 31, 2010 0.3456 Dec 31, 2011 0.3352 Dec 31, 2012 0.316 Dec 31, 2013 0.2887 Dec 31, 2014 0.2658 Dec 31, 2015 0.2474 Dec 31, 2016 0.2336 Dec 31, 2017 0.2201 Dec 31, 2018 0.2071

Vega-Lite specification:
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Chart description: From the graph it can be seen that there is a 0.225 average growth in economic sectors in Combodia and it can be seen that it is gradually increasing during 2010-2018.

Chart data: Year Industry Dec 31, 2008 0.2166 Dec 31, 2009 0.2187 Dec 31, 2010 0.2214 Dec 31, 2011 0.2298 Dec 31, 2012 0.2407 Dec 31, 2013 0.2561 Dec 31, 2014 0.2768 Dec 31, 2015 0.2945 Dec 31, 2016 0.3085 Dec 31, 2017 0.3229 Dec 31, 2018 0.3423

Vega-Lite specification:
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Chart description: As time goes on, the GDP increases from around 0.225 to 0.35. The curve starts to get steeper around 2012, as the GDP starts increasing at a larger rate.

Chart data: Year Industry Dec 31, 2008 0.2166 Dec 31, 2009 0.2187 Dec 31, 2010 0.2214 Dec 31, 2011 0.2298 Dec 31, 2012 0.2407 Dec 31, 2013 0.2561 Dec 31, 2014 0.2768 Dec 31, 2015 0.2945 Dec 31, 2016 0.3085 Dec 31, 2017 0.3229 Dec 31, 2018 0.3423

Vega-Lite specification:
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