delen/vistext huggingface dataset:
Chart description: A nominal,downward trends in alcohol consumption over the period.

Chart data: Year Per capita consumption in liters Dec 31, 2007 92.91 Dec 31, 2008 90.96 Dec 31, 2009 89.58 Dec 31, 2010 87.87 Dec 31, 2011 83.93 Dec 31, 2012 83.94 Dec 31, 2013 81.94 Dec 31, 2014 80.71 Dec 31, 2015 82.33 Dec 31, 2016 81.91 Dec 31, 2017 82.79

Vega-Lite specification:
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Chart description: As years go on the total employment goes down a considerable amount which spiked again coming towards 2015.

Chart data: Year Employment in 1,000s Dec 31, 2000 1045.7 Dec 31, 2001 986.6 Dec 31, 2002 942.2 Dec 31, 2003 913.8 Dec 31, 2004 901.5 Dec 31, 2005 901.2 Dec 31, 2006 902.8 Dec 31, 2007 897.4 Dec 31, 2008 837.8 Dec 31, 2009 768.6 Dec 31, 2010 751.1 Dec 31, 2011 741.1 Dec 31, 2012 735.7 Dec 31, 2013 727.5 Dec 31, 2014 725.5 Dec 31, 2015 728.6 Dec 31, 2016 731 Dec 31, 2017 730.8 Dec 31, 2018 749.9 Dec 31, 2019 766.3

Vega-Lite specification:
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Chart description: The general trend is downward in terms of employment in the publishing industry of the YS over time between 2001 to 2020.

Chart data: Year Employment in 1,000s Dec 31, 2000 1045.7 Dec 31, 2001 986.6 Dec 31, 2002 942.2 Dec 31, 2003 913.8 Dec 31, 2004 901.5 Dec 31, 2005 901.2 Dec 31, 2006 902.8 Dec 31, 2007 897.4 Dec 31, 2008 837.8 Dec 31, 2009 768.6 Dec 31, 2010 751.1 Dec 31, 2011 741.1 Dec 31, 2012 735.7 Dec 31, 2013 727.5 Dec 31, 2014 725.5 Dec 31, 2015 728.6 Dec 31, 2016 731 Dec 31, 2017 730.8 Dec 31, 2018 749.9 Dec 31, 2019 766.3

Vega-Lite specification:
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Chart description: Scicily has the highest unemployment rate. Tyrol has the lowest unemployment rate. The difference between the highest and lowest is 0.4.

Chart data: Unemployment rate region of Italy 0.511 Sicily 0.486 Calabria 0.466 Campania 0.451 Molise 0.45 Sardinia 0.404 Apulia 0.349 Abruzzo 0.311 Basilicata 0.296 Lazio 0.268 Piedmont 0.266 Umbria 0.236 Liguria 0.236 Tuscany 0.234 Marche 0.22 Aosta Valley 0.202 Friuli-Venezia Giulia 0.185 Emilia-Romagna 0.183 Lombardy 0.182 Veneto 0.098 Trentino-South Tyrol

Vega-Lite specification:
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Chart description: Jeff Bezos Amazon is the richest out of all 10 people, 2nd comes Bill Gates Microsoft then Larry Ellison Oracle.

Chart data: person Net worth in billion U.S. dollars Jeff Bezos Amazon 113 Bill GatesMicrosoft 98 Larry EllisonOracle 59 Mark ZuckerbergFacebook 54.7 Steve BallmerMicrosoft 52.7 Larry PageGoogle 50.9 Sergey BrinGoogle 49.1 Jack MaAlibaba 38.8 Ma HuatengTencent 38.1 MacKenzie Bezos Amazon 36

Vega-Lite specification:
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Chart description: The biggest increase has occurred in 18/19.  Steady increases have occurred since 13/14.

Chart data: Year Revenue in million U.S. dollars 18/19 283 17/18 204 16/17 179 15/16 146 14/15 126 13/14 110 12/13 109 11/12 87 10/11 92 09/10 92 08/09 91 07/08 94 06/07 88 05/06 87 04/05 78 03/04 77 02/03 70 01/02 67

Vega-Lite specification:
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Chart description: The graph shows the revenue of the Milwaukee Bucks from 2001/2 to 2018/19 as increasing almost year on year from around 60 in 2001/02 to almost 300 in 2018/19.

Chart data: Year Revenue in million U.S. dollars 18/19 283 17/18 204 16/17 179 15/16 146 14/15 126 13/14 110 12/13 109 11/12 87 10/11 92 09/10 92 08/09 91 07/08 94 06/07 88 05/06 87 04/05 78 03/04 77 02/03 70 01/02 67

Vega-Lite specification:
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Chart description: The revenue of the Milwaukee bucks was relatively stable from 2001/02 to 2011/12. The revenue of the Milwaukee bucks ranged from 70~ million USD to 95~ million USD between 2001/02 to 2011/12. The revenue of the Milwaukee Bucks began to rise sharply from 2012/13 to 2018/19. In 2012/13 the revenue of the Milwaukee Bucks was 105~ million USD. By 2018/19 the revenue of the Milwaukee Bucks was 280~ million USD.

Chart data: Year Revenue in million U.S. dollars 18/19 283 17/18 204 16/17 179 15/16 146 14/15 126 13/14 110 12/13 109 11/12 87 10/11 92 09/10 92 08/09 91 07/08 94 06/07 88 05/06 87 04/05 78 03/04 77 02/03 70 01/02 67

Vega-Lite specification:
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Chart description: The revenue of the Charlotte State Hornets has increased every year other than 2011/12, increasing from around 75 million in 2004/05 to over 200 million in 2018/19. The biggest increase in revenue appears to be 2015/16 to 2016/17 with an almost 50 million US Dollar increase.

Chart data: Revenue in million U.S. dollars Year 240 18/19 213 17/18 202 16/17 158 15/16 142 14/15 130 13/14 115 12/13 93 11/12 101 10/11 98 09/10 96 08/09 95 07/08 93 06/07 89 05/06 73 04/05

Vega-Lite specification:
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Chart description: Apart from a slight dip in 11/12 the revenue has increased. 15/16 to 16/17 saw the largest increase in revenue, over 40m dollars. Revenue increased slowly from 06/07 until 10/11 but overall from 15/16 there has been a significant increase. As of 18/19 revenue stood at 250m US dollars.

Chart data: Revenue in million U.S. dollars Year 240 18/19 213 17/18 202 16/17 158 15/16 142 14/15 130 13/14 115 12/13 93 11/12 101 10/11 98 09/10 96 08/09 95 07/08 93 06/07 89 05/06 73 04/05

Vega-Lite specification:
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Chart description: Looking at the above data it seems that the university sector has had around a 20% groth between 2008 to 2018 with the biggest groth between 2008 and 2014. More than likely this is proportionally linked with other extarnal and economic factors.

Chart data: Year Number of universities Dec 31, 2007 120 Dec 31, 2008 127 Dec 31, 2009 126 Dec 31, 2010 126 Dec 31, 2011 135 Dec 31, 2012 142 Dec 31, 2013 142 Dec 31, 2014 141 Dec 31, 2015 142 Dec 31, 2016 142 Dec 31, 2017 143

Vega-Lite specification:
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Chart description: the last 10 years has shown (despite peaks and troughs) an increase in halloween spend from 5 to 8 billion $.

Chart data: Year Planned expenditure in billion U.S. dollars Dec 31, 2005 4.96 Dec 31, 2006 5.07 Dec 31, 2007 5.77 Dec 31, 2008 4.75 Dec 31, 2009 5.8 Dec 31, 2010 6.86 Dec 31, 2011 8 Dec 31, 2012 6.99 Dec 31, 2013 7.4 Dec 31, 2014 6.89 Dec 31, 2015 8.4 Dec 31, 2016 9.1 Dec 31, 2017 9 Dec 31, 2018 8.8 Dec 31, 2019 8

Vega-Lite specification:
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Chart description: over the past 15 years outstanding consumer credit has almost doubled from just below 2000 to above 4000.

Chart data: Year Consumer credit in billion U.S. dollars Dec 31, 1999 1716.97 Dec 31, 2000 1867.85 Dec 31, 2001 1972.11 Dec 31, 2002 2077.36 Dec 31, 2003 2192.25 Dec 31, 2004 2290.93 Dec 31, 2005 2456.72 Dec 31, 2006 2609.48 Dec 31, 2007 2643.79 Dec 31, 2008 2555.02 Dec 31, 2009 2646.81 Dec 31, 2010 2757.07 Dec 31, 2011 2918.26 Dec 31, 2012 3093.39 Dec 31, 2013 3314.57 Dec 31, 2014 3413.61 Dec 31, 2015 3644.2 Dec 31, 2016 3841.32 Dec 31, 2017 3918.3 Dec 31, 2018 4110.43

Vega-Lite specification:
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Chart description: Credit comsumption rose by over double the amount from 2000-2019. The general trend is that credit comsumption progressively increased over time. There was a slight dip somewhere between 2005-2010.

Chart data: Year Consumer credit in billion U.S. dollars Dec 31, 1999 1716.97 Dec 31, 2000 1867.85 Dec 31, 2001 1972.11 Dec 31, 2002 2077.36 Dec 31, 2003 2192.25 Dec 31, 2004 2290.93 Dec 31, 2005 2456.72 Dec 31, 2006 2609.48 Dec 31, 2007 2643.79 Dec 31, 2008 2555.02 Dec 31, 2009 2646.81 Dec 31, 2010 2757.07 Dec 31, 2011 2918.26 Dec 31, 2012 3093.39 Dec 31, 2013 3314.57 Dec 31, 2014 3413.61 Dec 31, 2015 3644.2 Dec 31, 2016 3841.32 Dec 31, 2017 3918.3 Dec 31, 2018 4110.43

Vega-Lite specification:
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Chart description: The GDP for Spain overall has increased since the start of data in 2008. The increase has not been uniform, with the GDP steadily decreasing until it reached its lowest around 2013, before starting an upwards trajectory towards present day. The GDP increased after 2013 at a faster rate than it was decreasing up until this time.

Chart data: Year GDP in billion euros Dec 31, 2007 1109.5 Dec 31, 2008 1069.3 Dec 31, 2009 1072.7 Dec 31, 2010 1063.8 Dec 31, 2011 1031.1 Dec 31, 2012 1020.3 Dec 31, 2013 1032.2 Dec 31, 2014 1077.6 Dec 31, 2015 1113.8 Dec 31, 2016 1161.9 Dec 31, 2017 1202.2 Dec 31, 2018 1244.8

Vega-Lite specification:
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Chart description: No trends can be identified, as it only shows one year. Christian and Music seem to dominate iTunes podcasts.

Chart data: category Number of podcasts in thousands Christian 39 Music 33.6 Comedy 14.2 TV and Film 12.8 Literature 10.6 News and Politics 10.2 Video Games 7 Sports 6.7 Management and Marketing 5.2 Personal Journals 4.3

Vega-Lite specification:
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Chart description: There was a steady decrease in the numbers of US Air Force personal over the twenty years between 1995 and 2015. There followed an increase in numbers after 2015. This increase did not bring the levels up to pre 1995 numbers.

Chart data: Year Number of Air Force personnel Dec 31, 1994 396382 Dec 31, 1999 351326 Dec 31, 2004 349362 Dec 31, 2005 344529 Dec 31, 2006 329094 Dec 31, 2007 322900 Dec 31, 2008 328847 Dec 31, 2009 329640 Dec 31, 2010 328821 Dec 31, 2011 328812 Dec 31, 2012 326573 Dec 31, 2013 312453 Dec 31, 2014 307326 Dec 31, 2015 313723 Dec 31, 2016 318580 Dec 31, 2017 321618 Dec 31, 2018 327878

Vega-Lite specification:
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Chart description: Following a steady decline with number of US Active Duty personnel numbers till 2015 where there is a minor increase after 20-15.

Chart data: Year Number of Air Force personnel Dec 31, 1994 396382 Dec 31, 1999 351326 Dec 31, 2004 349362 Dec 31, 2005 344529 Dec 31, 2006 329094 Dec 31, 2007 322900 Dec 31, 2008 328847 Dec 31, 2009 329640 Dec 31, 2010 328821 Dec 31, 2011 328812 Dec 31, 2012 326573 Dec 31, 2013 312453 Dec 31, 2014 307326 Dec 31, 2015 313723 Dec 31, 2016 318580 Dec 31, 2017 321618 Dec 31, 2018 327878

Vega-Lite specification:
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Chart description: I can see that leading to swim has greatly improved since the 1920’s. The decline is huge in drowning deaths.

Chart data: Year Deaths per 100,000 population Dec 31, 1904 11.1 Dec 31, 1909 9.4 Dec 31, 1914 8.6 Dec 31, 1919 5.7 Dec 31, 1924 6.3 Dec 31, 1929 6.1 Dec 31, 1934 5.3 Dec 31, 1939 4.7 Dec 31, 1944 5 Dec 31, 1949 4.1 Dec 31, 1954 3.9 Dec 31, 1959 3.6 Dec 31, 1964 3.5 Dec 31, 1969 3.9 Dec 31, 1974 3.7 Dec 31, 1979 3.2 Dec 31, 1984 2.2 Dec 31, 1989 1.9 Dec 31, 1994 1.7 Dec 31, 1999 1.3 Dec 31, 2000 1.2 Dec 31, 2001 1.2 Dec 31, 2002 1.1 Dec 31, 2003 1.1 Dec 31, 2004 1.2 Dec 31, 2005 1.2 Dec 31, 2006 1.1 Dec 31, 2007 1.2 Dec 31, 2008 1.1 Dec 31, 2009 1.2 Dec 31, 2010 1.1 Dec 31, 2011 1.1 Dec 31, 2012 1.1 Dec 31, 2013 1.1 Dec 31, 2014 1.1 Dec 31, 2015 1.2 Dec 31, 2016 1.1 Dec 31, 2017 1.1

Vega-Lite specification:
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Chart description: The visualization shows a significantly decreasing trend of deaths due to drowning throughout the 20th century. The rate of these deaths at the end of the century was less than tenth the rate of the deaths at the beginning of the century.

Chart data: Year Deaths per 100,000 population Dec 31, 1904 11.1 Dec 31, 1909 9.4 Dec 31, 1914 8.6 Dec 31, 1919 5.7 Dec 31, 1924 6.3 Dec 31, 1929 6.1 Dec 31, 1934 5.3 Dec 31, 1939 4.7 Dec 31, 1944 5 Dec 31, 1949 4.1 Dec 31, 1954 3.9 Dec 31, 1959 3.6 Dec 31, 1964 3.5 Dec 31, 1969 3.9 Dec 31, 1974 3.7 Dec 31, 1979 3.2 Dec 31, 1984 2.2 Dec 31, 1989 1.9 Dec 31, 1994 1.7 Dec 31, 1999 1.3 Dec 31, 2000 1.2 Dec 31, 2001 1.2 Dec 31, 2002 1.1 Dec 31, 2003 1.1 Dec 31, 2004 1.2 Dec 31, 2005 1.2 Dec 31, 2006 1.1 Dec 31, 2007 1.2 Dec 31, 2008 1.1 Dec 31, 2009 1.2 Dec 31, 2010 1.1 Dec 31, 2011 1.1 Dec 31, 2012 1.1 Dec 31, 2013 1.1 Dec 31, 2014 1.1 Dec 31, 2015 1.2 Dec 31, 2016 1.1 Dec 31, 2017 1.1

Vega-Lite specification:
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Chart description: The chart shows that there has been a continuing and fairly consistent upward trend in Minnesota Twins franchise value from less than 200 million in 2002 to over 1,200 million in 2020.  The trend has increased since 2014 at a faster rate.

Chart data: Year Franchise value in million U.S. dollars Dec 31, 2001 127 Dec 31, 2002 148 Dec 31, 2003 168 Dec 31, 2004 178 Dec 31, 2005 216 Dec 31, 2006 288 Dec 31, 2007 328 Dec 31, 2008 356 Dec 31, 2009 405 Dec 31, 2010 490 Dec 31, 2011 510 Dec 31, 2012 578 Dec 31, 2013 605 Dec 31, 2014 895 Dec 31, 2015 910 Dec 31, 2016 1025 Dec 31, 2017 1150 Dec 31, 2018 1200 Dec 31, 2019 1300

Vega-Lite specification:
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Chart description: Less children are being born per women as time goes on.

Chart data: Year Number of children born per woman Dec 31, 2007 2.45 Dec 31, 2008 2.38 Dec 31, 2009 2.32 Dec 31, 2010 2.27 Dec 31, 2011 2.23 Dec 31, 2012 2.19 Dec 31, 2013 2.15 Dec 31, 2014 2.12 Dec 31, 2015 2.09 Dec 31, 2016 2.06 Dec 31, 2017 2.04

Vega-Lite specification:
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Chart description: There has been a gradual decrease between 2008 and 2018. The number of children born between 2008 and 2018 has only decreased by half a child.

Chart data: Year Number of children born per woman Dec 31, 2007 2.45 Dec 31, 2008 2.38 Dec 31, 2009 2.32 Dec 31, 2010 2.27 Dec 31, 2011 2.23 Dec 31, 2012 2.19 Dec 31, 2013 2.15 Dec 31, 2014 2.12 Dec 31, 2015 2.09 Dec 31, 2016 2.06 Dec 31, 2017 2.04

Vega-Lite specification:
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Chart description: The internet penetration rate has continued to rise from 2007 to 2020.

Chart data: Year Internet penetration rate Dec 31, 2006 0.04 Dec 31, 2007 0.044 Dec 31, 2008 0.051 Dec 31, 2009 0.075 Dec 31, 2010 0.101 Dec 31, 2011 0.126 Dec 31, 2012 0.151 Dec 31, 2013 0.18 Dec 31, 2014 0.27 Dec 31, 2015 0.348 Dec 31, 2016 0.344 Dec 31, 2017 0.3802 Dec 31, 2018 0.4848 Dec 31, 2019 0.5

Vega-Lite specification:
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Chart description: In 2010 the unemployment rate was at the highest, since then it has steadily declined.

Chart data: Year Unemployment rate Dec 31, 1998 0.1181 Dec 31, 1999 0.1008 Dec 31, 2000 0.114 Dec 31, 2001 0.1194 Dec 31, 2002 0.1178 Dec 31, 2003 0.1031 Dec 31, 2004 0.1135 Dec 31, 2005 0.1101 Dec 31, 2006 0.1093 Dec 31, 2007 0.1148 Dec 31, 2008 0.15 Dec 31, 2009 0.161 Dec 31, 2010 0.157 Dec 31, 2011 0.145 Dec 31, 2012 0.143 Dec 31, 2013 0.139 Dec 31, 2014 0.12 Dec 31, 2015 0.118 Dec 31, 2016 0.108 Dec 31, 2017 0.092 Dec 31, 2018 0.0819 Dec 31, 2019 0.0841

Vega-Lite specification:
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Chart description: Pat Cummins from Australia was the leading wicket-taker in the Ashes in 2019, with almost 30 wickets taken. He was followed by Stuart Broad from England with 23, and Jofra Archer from England with 22 All of the players mentioned are either from England or Australia.

Chart data: Number of wickets taken cricketer 29 Pat Cummins  (Australia) 23 Stuart Broad  (England) 22 Jofra Archer  (England) 20 Josh Hazlewood  (Australia) 20 Nathan Lyon  (Australia) 12 Jack Leach  (England) 10 Chris Woakes  (England) 8 Ben Stokes  (England) 7 Mitchell Marsh (Australia) 7 Peter Siddle  (Australia)

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Chart description: In the year 2011 there was approximately 5 million vehicles and by 2017 this has almost doubled to approximately 10million.

Chart data: Number of vehicles in millions year 9.37 FY 2017 8.63 FY 2016 7.93 FY 2015 7.24 FY 2014 6.6 FY 2013 5.98 FY 2012 5.38 FY 2011 4.79 FY 2010 4.43 FY 2009 3.97 FY 2008 3.53 FY 2007

Vega-Lite specification:
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