delen/vistext huggingface dataset:
Chart description: There is a steady increase in consumption of US dollars between the years 2010 and 2015. The year 2017 shows a severe decline in consumption of US dollars at just over 600 million.

Chart data: Year Consumption in million U.S. dollars* Dec 31, 2009 527 Dec 31, 2010 578.4 Dec 31, 2011 578 Dec 31, 2012 653.2 Dec 31, 2013 679.6 Dec 31, 2014 765.8 Dec 31, 2015 759.9 Dec 31, 2016 643.9 Dec 31, 2017 779.7 Dec 31, 2018 703.2

Vega-Lite specification:
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Chart description: Between 2010 and 2019 there has been a significant increase in internal travel and tourism. It increased from circa $550m in 2010 to a peal of circa $790m in 2018. It has since dropped a little but remains much higher than 2010.

Chart data: Year Consumption in million U.S. dollars* Dec 31, 2009 527 Dec 31, 2010 578.4 Dec 31, 2011 578 Dec 31, 2012 653.2 Dec 31, 2013 679.6 Dec 31, 2014 765.8 Dec 31, 2015 759.9 Dec 31, 2016 643.9 Dec 31, 2017 779.7 Dec 31, 2018 703.2

Vega-Lite specification:
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Chart description: Child mortality in Australia has fallen sharply between 1860 and 2020. Child mortality more than halved between 1860 and 1900, however there were also two increases in this time period. The steepest decline was between 1860 and 1950, after 1950 there was a more gradual decline. Child mortality has almost levelled off between the year 2000 and 2020.

Chart data: Year Deaths per 1,000 live births Dec 31, 1859 390.99 Dec 31, 1864 306.5 Dec 31, 1869 201.91 Dec 31, 1874 186.59 Dec 31, 1879 189.95 Dec 31, 1884 195.96 Dec 31, 1889 185.45 Dec 31, 1894 164.87 Dec 31, 1899 172.75 Dec 31, 1904 144.57 Dec 31, 1909 110.01 Dec 31, 1914 97.43 Dec 31, 1919 88.85 Dec 31, 1924 77.66 Dec 31, 1929 69.91 Dec 31, 1934 55.3 Dec 31, 1939 52.33 Dec 31, 1944 47.59 Dec 31, 1949 34.85 Dec 31, 1954 30 Dec 31, 1959 26 Dec 31, 1964 24 Dec 31, 1969 22 Dec 31, 1974 20 Dec 31, 1979 15 Dec 31, 1984 12 Dec 31, 1989 10 Dec 31, 1994 8 Dec 31, 1999 7 Dec 31, 2004 6 Dec 31, 2009 5 Dec 31, 2014 4 Dec 31, 2019 4

Vega-Lite specification:
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Chart description: There are only small variances with the graduation rate over 17 years. The lowest rate of graduations was 2011 - 2015.

Chart data: Graduation rate Year 0.5 2016/17 0.49 2015/16 0.48 2014/15 0.48 2013/14 0.48 2012/13 0.48 2011/12 0.49 2010/11 0.49 2009/10 0.49 2008/09 0.48 2007/08 0.48 2006/07 0.49 2005/06 0.5 2004/05 0.49 2003/04 0.48 2000/01

Vega-Lite specification:
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Chart description: There is a really small difference between the 2015 and the 2025.

Chart data: Year Share in global GDP adjusted for PPP 2025* 0.0094 2024* 0.0095 2023* 0.0096 2022* 0.0097 2021* 0.0098 2020* 0.0101 2019 0.01 2018 0.0101 2017 0.0102 2016 0.0102 2015 0.01

Vega-Lite specification:
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Chart description: In 2009 the FDI reached its highest of 180000 million GDP. In 2014 the FDI reached its lowest of 85000 million GDP. Most years are between 0 and 100000 million GDP.

Chart data: Year Investment in million GBP Dec 31, 2005 46887 Dec 31, 2006 167866 Dec 31, 2007 107806 Dec 31, 2008 18593 Dec 31, 2009 31124 Dec 31, 2010 59660 Dec 31, 2011 13105 Dec 31, 2012 25902 Dec 31, 2013 −90751 Dec 31, 2014 −42910 Dec 31, 2015 −27696 Dec 31, 2016 99473 Dec 31, 2017 6253

Vega-Lite specification:
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Chart description: The recorded number of crimes has decreased and has remained at similar levels for the last few years.

Chart data: Year Recorded crimes in thousands 2002/03 418.28 2003/04 414.21 2004/05 438.12 2005/06 417.79 2006/07 419.26 2007/08 385.51 2008/09 377.43 2009/10 338.12 2010/11 323.25 2011/12 314.19 2012/13 273.05 2013/14 270.4 2014/15 256.35 2015/16 246.24 2016/17 238.65 2017/18 244.5 2018/19 246.48 2019/20 246.52

Vega-Lite specification:
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Chart description: 2013, 2018 & 2019 were the years with the highest volume of wine throughout the decade. The volume has never reached any higher than 5.

Chart data: Year Volume in million hectoliters 2020* 3.6 2019 4.9 2018 5.1 2017 4.3 2016 3.3 2015 3.6 2014 3.7 2013 5.1 2012 3.3 2011 4.1 2010 3.3

Vega-Lite specification:
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Chart description: The unemployment rate in Nigeria in 1999was just below 0.04. This figure remained stable showing a slight peak in 2014at almost 0.5 which then rose sharply in 2016 and 2017 to over 0.8.

Chart data: Year Unemployment rate Dec 31, 1998 0.0379 Dec 31, 1999 0.0378 Dec 31, 2000 0.0378 Dec 31, 2001 0.0382 Dec 31, 2002 0.0382 Dec 31, 2003 0.0379 Dec 31, 2004 0.0374 Dec 31, 2005 0.0365 Dec 31, 2006 0.0357 Dec 31, 2007 0.0354 Dec 31, 2008 0.0372 Dec 31, 2009 0.0377 Dec 31, 2010 0.0377 Dec 31, 2011 0.0374 Dec 31, 2012 0.037 Dec 31, 2013 0.0456 Dec 31, 2014 0.0431 Dec 31, 2015 0.0706 Dec 31, 2016 0.0839 Dec 31, 2017 0.0824 Dec 31, 2018 0.081 Dec 31, 2019 0.0796

Vega-Lite specification:
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Chart description: Unemployment was steady for a number of year but rose rapidly in 2015.

Chart data: Year Unemployment rate Dec 31, 1998 0.0379 Dec 31, 1999 0.0378 Dec 31, 2000 0.0378 Dec 31, 2001 0.0382 Dec 31, 2002 0.0382 Dec 31, 2003 0.0379 Dec 31, 2004 0.0374 Dec 31, 2005 0.0365 Dec 31, 2006 0.0357 Dec 31, 2007 0.0354 Dec 31, 2008 0.0372 Dec 31, 2009 0.0377 Dec 31, 2010 0.0377 Dec 31, 2011 0.0374 Dec 31, 2012 0.037 Dec 31, 2013 0.0456 Dec 31, 2014 0.0431 Dec 31, 2015 0.0706 Dec 31, 2016 0.0839 Dec 31, 2017 0.0824 Dec 31, 2018 0.081 Dec 31, 2019 0.0796

Vega-Lite specification:
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Chart description: The highest amount of searches was for 'other keywords' with over 800 thousand searches. Most of the online gaming related searches were under 100 thousand searches.

Chart data: Searches in thousands Online gaming related keywords  110 bingo 60.5 bet 60.5 poker 40.5 casino 33.1 poker hands 33.1 betting calculator 27.1 bingo sites 27.1 bingo games 27.1 betting 27.1 football betting tips 866.81 other keywords

Vega-Lite specification:
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Chart description: The year with the highest import volume is 2012/13. The year with the lowest import volume is 2011/12. There was an increase of more than 50 thousand metric tons from 2011/12 to 2012/13. There has been a decrease in import volume from 2012/13 to 2014/15.

Chart data: Year Import volume in thousand metric tons 2019/20 204.88 2018/19 203.21 2017/18 222.2 2016/17 220.57 2015/16 229.93 2014/15 216.86 2013/14 222 2012/13 250 2011/12 190 2010/11 197

Vega-Lite specification:
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Chart description: There is no linear pattern and sales go up and down..Sales peaked around 2015.There then appears to be a steep downward trend, with a small recovery then decrease again.

Chart data: Year Number of new registrations in thousands Dec 31, 2000 100.3 Dec 31, 2001 92.5 Dec 31, 2002 95.2 Dec 31, 2003 88 Dec 31, 2004 80.4 Dec 31, 2005 100.5 Dec 31, 2006 100.7 Dec 31, 2007 92.2 Dec 31, 2008 114.1 Dec 31, 2009 101.6 Dec 31, 2010 94.9 Dec 31, 2011 107.4 Dec 31, 2012 118.8 Dec 31, 2013 129.5 Dec 31, 2014 131.4 Dec 31, 2015 119.2 Dec 31, 2016 93 Dec 31, 2017 94.5 Dec 31, 2018 76.4

Vega-Lite specification:
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Chart description: Overall the import value has risen from 2001 to 2019 but there have been several dips within that time.

Chart data: Year Import value in thousand GBP Dec 31, 2000 241443 Dec 31, 2001 306609 Dec 31, 2002 321812 Dec 31, 2003 321813 Dec 31, 2004 377155 Dec 31, 2005 370467 Dec 31, 2006 398578 Dec 31, 2007 415095 Dec 31, 2008 409628 Dec 31, 2009 435392 Dec 31, 2010 433281 Dec 31, 2011 413339 Dec 31, 2012 418024 Dec 31, 2013 413817 Dec 31, 2014 422770 Dec 31, 2015 452610 Dec 31, 2016 521365 Dec 31, 2017 524404 Dec 31, 2018 506417

Vega-Lite specification:
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Chart description: The number of newlyweds appears to remain quite constant around the 100,000 point until about 2016 when it suddenly starts to fall away. There appears to be two peaks in 2010 and 2012.

Chart data: Year Number of marriages Dec 31, 2008 97322 Dec 31, 2009 102494 Dec 31, 2010 96587 Dec 31, 2011 102685 Dec 31, 2012 93221 Dec 31, 2013 96169 Dec 31, 2014 94765 Dec 31, 2015 98397 Dec 31, 2016 96493 Dec 31, 2017 93666 Dec 31, 2018 89188

Vega-Lite specification:
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Chart description: Debt increased between 2014 and 2015. It rose again in 2016. It went down to around 7 billion in 2017. In 2018 it was the lowest it had been in ten years. Between 2018 and 2024 it continues to rise slightly each year to around 7.7 billion.

Chart data: National debt in billion U.S. dollars Year 7.49 2024* 7.26 2023* 7.08 2022* 6.88 2021* 6.64 2020* 6.53 2019* 6.44 2018 6.93 2017 7.42 2016 7.33 2015 7.05 2014

Vega-Lite specification:
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Chart description: The number of football players with a migration background has increased over time from 0.04 to 0.13. This was not a consistent increase, with multiple decreases over time.

Chart data: Response Share of players Dec 31, 1929 0.038 Dec 31, 1933 0.065 Dec 31, 1937 0.063 Dec 31, 1949 0.046 Dec 31, 1953 0.028 Dec 31, 1957 0.011 Dec 31, 1961 0.017 Dec 31, 1965 0.034 Dec 31, 1969 0.078 Dec 31, 1973 0.011 Dec 31, 1977 0.042 Dec 31, 1981 0.049 Dec 31, 1985 0.053 Dec 31, 1989 0.08 Dec 31, 1993 0.067 Dec 31, 1997 0.084 Dec 31, 2001 0.087 Dec 31, 2005 0.087 Dec 31, 2009 0.102 Dec 31, 2013 0.114 Dec 31, 2017 0.132

Vega-Lite specification:
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Chart description: The fertility rate in Iran in 2008 was around 0.0018 and gradually increases to around 0.0021 by 2016. The fertility rate between 2008 and 2014 is increasing multiplicatively (increasing by more every 2 years) whereas after 2014 the increase begins to plateau.

Chart data: Year Fertility rate Dec 31, 2007 0.0181 Dec 31, 2008 0.0182 Dec 31, 2009 0.0184 Dec 31, 2010 0.0187 Dec 31, 2011 0.019 Dec 31, 2012 0.0195 Dec 31, 2013 0.0199 Dec 31, 2014 0.0204 Dec 31, 2015 0.0208 Dec 31, 2016 0.0212 Dec 31, 2017 0.0214

Vega-Lite specification:
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Chart description: The debt-to-GDP ratio of Germany decreased each year from 2015 to 2019. The decrease of the ratio was linear between 2015 and 2019. In 2020, the debt-to-GDP ratio jumped to its highest in the 2015-2025 period. From 2020 onwards, the ratio decreases each year in an almost linear manner.

Chart data: Year National debt in relation to GDP 2025* 0.5955 2024* 0.6257 2023* 0.6553 2022* 0.6849 2021* 0.7221 2020* 0.7328 2019 0.5953 2018 0.6163 2017 0.6499 2016 0.6919 2015 0.7221

Vega-Lite specification:
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Chart description: In 10 years the birth rate in the Philippines has decreased from 26 per thousand people to 20 per thousand people.

Chart data: Year Birth rate per thousand population Dec 31, 2007 25.84 Dec 31, 2008 25.42 Dec 31, 2009 25.02 Dec 31, 2010 24.6 Dec 31, 2011 24.12 Dec 31, 2012 23.56 Dec 31, 2013 22.94 Dec 31, 2014 22.27 Dec 31, 2015 21.62 Dec 31, 2016 21.04 Dec 31, 2017 20.55

Vega-Lite specification:
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Chart description: That birth rate in the phillipines has gradually fallen from 2008 to 2020.

Chart data: Year Birth rate per thousand population Dec 31, 2007 25.84 Dec 31, 2008 25.42 Dec 31, 2009 25.02 Dec 31, 2010 24.6 Dec 31, 2011 24.12 Dec 31, 2012 23.56 Dec 31, 2013 22.94 Dec 31, 2014 22.27 Dec 31, 2015 21.62 Dec 31, 2016 21.04 Dec 31, 2017 20.55

Vega-Lite specification:
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Chart description: After a decline in consumption over the years 2016-2019, high fructose corn syrup consumption will continue to rise every year through to 2029. Starting with a volume low of around 550 thousand tonnes in 2017, it will rise to over 900 thousand tons consumed per year by 2029.

Chart data: Volume in thousand tonnes Year 940 2029* 915 2028* 890 2027* 865 2026* 841 2025* 813 2024* 789 2023* 766 2022* 742 2021* 676 2020* 583 2019* * 550 2018 539 2017 662 2016

Vega-Lite specification:
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Chart description: The youth unemployment rate in Belize was greatest in 1999 at approximately 0.24. The youth unemployment rate has experienced an overall decline, reaching its lowest figure of approximately 0.15 in 2020.

Chart data: Year Youth unemployment rate Dec 31, 1998 0.2428 Dec 31, 1999 0.2083 Dec 31, 2000 0.1784 Dec 31, 2001 0.1952 Dec 31, 2002 0.2003 Dec 31, 2003 0.2054 Dec 31, 2004 0.21 Dec 31, 2005 0.1843 Dec 31, 2006 0.1701 Dec 31, 2007 0.1645 Dec 31, 2008 0.17 Dec 31, 2009 0.17 Dec 31, 2010 0.169 Dec 31, 2011 0.1681 Dec 31, 2012 0.1677 Dec 31, 2013 0.1817 Dec 31, 2014 0.1642 Dec 31, 2015 0.163 Dec 31, 2016 0.1538 Dec 31, 2017 0.1531 Dec 31, 2018 0.1512 Dec 31, 2019 0.1503

Vega-Lite specification:
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Chart description: 2006 had the lowest year for beauty content, 2018 had the highest year for beauty content. Beauty viewings have more then tripled between 2006 and 2018.

Chart data: Year Annual beauty content views in billions 2018* 169 2017 104 2016 59 2015 37 2014 25 2013 16 2012 11 2011 7 2010 5 2009 3 2008 2 2007 0.87 2006 0.13

Vega-Lite specification:
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Chart description: assets have increased steadily till 2017 and increased a lot in 2018.

Chart data: Year Total assets in million U.S. dollars Dec 31, 2004 15247 Dec 31, 2005 20574 Dec 31, 2006 54722 Dec 31, 2007 60960 Dec 31, 2008 61918 Dec 31, 2009 62457 Dec 31, 2010 64794 Dec 31, 2011 65474 Dec 31, 2012 70550 Dec 31, 2013 73202 Dec 31, 2014 92437 Dec 31, 2015 94462 Dec 31, 2016 95131 Dec 31, 2017 196456 Dec 31, 2018 222449

Vega-Lite specification:
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Chart description: CVS Health’s total assets have increased over time. At no point between 2005 and 2019 did the value of CVS Health’s total assets reduce. That said, their total assets only rose very slightly in 2017. CVS Health’s total assets rose sharply in 2018.

Chart data: Year Total assets in million U.S. dollars Dec 31, 2004 15247 Dec 31, 2005 20574 Dec 31, 2006 54722 Dec 31, 2007 60960 Dec 31, 2008 61918 Dec 31, 2009 62457 Dec 31, 2010 64794 Dec 31, 2011 65474 Dec 31, 2012 70550 Dec 31, 2013 73202 Dec 31, 2014 92437 Dec 31, 2015 94462 Dec 31, 2016 95131 Dec 31, 2017 196456 Dec 31, 2018 222449

Vega-Lite specification:
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Chart description: from 2009 to 2019 the share of total population increased.

Chart data: Response Share of total population Dec 31, 2008 0.6485 Dec 31, 2009 0.6514 Dec 31, 2010 0.6544 Dec 31, 2011 0.6574 Dec 31, 2012 0.6605 Dec 31, 2013 0.6637 Dec 31, 2014 0.667 Dec 31, 2015 0.6703 Dec 31, 2016 0.6737 Dec 31, 2017 0.6771 Dec 31, 2018 0.6806

Vega-Lite specification:
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Chart description: The most popular turnover size band is £100,000-£249,999 with 1,500 enterprises.

Chart data: Turnover in GBP Number of enterprises* £0 - £49,999 285 £50,000 - £99,999 500 £100,000 - £249,999 1595 £250,000 - £499,999 775 £500,000 - £999,999 470 £1 million - £1.999 million 230 £2 million - £4.999 million 160 £5 million - £9.999 million 60 £10 million - £49.999 million 50 £50 million + 25

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