delen/vistext huggingface dataset:
Chart description: In the 9 years from 2006 to 2015 the average price of the NBA tickets has roughly remained the same at around $45-$55. During the years 2008 & 2009 the average ticket price rose considerably to approximately $60 and then fell again the following year. During the last three years recorded of 20013,14,15 the price has risen slightly, possibly starting an upward trend, but all the same remains withing the overall stable average price range.

Chart data: Average ticket price in U.S. dollars Year 53.43 2015/16 52.9 2014/15 51.3 2013/14 48.4 2012/13 48.4 2011/12 50.62 2010/11 63.05 2009/10 61.21 2008/09 47.34 2007/08 45.34 2006/07

Vega-Lite specification:
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Chart description: On the red line going horizontally for Indianapolis Colts average regular season home attendance from 2008 to 2019 the season home attendance goes down a bit by 2016 and even more so by 2018.

Chart data: Year Average attendance Dec 31, 2007 66378 Dec 31, 2008 66549 Dec 31, 2009 66975 Dec 31, 2010 64828 Dec 31, 2011 65189 Dec 31, 2012 65950 Dec 31, 2013 65375 Dec 31, 2014 66047 Dec 31, 2015 65549 Dec 31, 2016 63440 Dec 31, 2017 59199 Dec 31, 2018 61110

Vega-Lite specification:
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Chart description: The Indianapolis Colts have a steady home attendance over the years. Each year has between 50,000 and 60,000 home attendees. There is a slight dip in attendance in 2018. In 2018, there were around 50,000 home attendees.

Chart data: Year Average attendance Dec 31, 2007 66378 Dec 31, 2008 66549 Dec 31, 2009 66975 Dec 31, 2010 64828 Dec 31, 2011 65189 Dec 31, 2012 65950 Dec 31, 2013 65375 Dec 31, 2014 66047 Dec 31, 2015 65549 Dec 31, 2016 63440 Dec 31, 2017 59199 Dec 31, 2018 61110

Vega-Lite specification:
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Chart description: Indiana Colts average regular season home attendance is very healthy and consistent. There is an  attendance dip towards the end of the 2010s with the lowest in 2018. The attendance begins to rise again heading into 2019.

Chart data: Year Average attendance Dec 31, 2007 66378 Dec 31, 2008 66549 Dec 31, 2009 66975 Dec 31, 2010 64828 Dec 31, 2011 65189 Dec 31, 2012 65950 Dec 31, 2013 65375 Dec 31, 2014 66047 Dec 31, 2015 65549 Dec 31, 2016 63440 Dec 31, 2017 59199 Dec 31, 2018 61110

Vega-Lite specification:
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Chart description: there are almost double romanian immigrants than the other countries.

Chart data: Number of immigrants Country 230096 Romania 130689 Poland 83218 Bulgaria 62708 Italy 51610 Turkey 42556 Croatia 36004 India 34965 Hungary 29945 United States 28903 Serbia

Vega-Lite specification:
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Chart description: Romanians make up the majority of immigrants, with approximately 290,000 entering the country.  Serbia and the United States have the fewest immigrants, with around 25,000 each. Hungary, India and Croatia all have a small number of immigrants, under 50,000, whereas Italy, Bulgaria and Poland make up the rest at over 50,000, although Poland is the second highest at around 150,000.

Chart data: Number of immigrants Country 230096 Romania 130689 Poland 83218 Bulgaria 62708 Italy 51610 Turkey 42556 Croatia 36004 India 34965 Hungary 29945 United States 28903 Serbia

Vega-Lite specification:
{"config": {"background": "#000", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#7fc97f", "#beaed4", "#fdc086", "#ffff99", "#386cb0", "#f0027f", "#bf5b17", "#666666"]}}, "data": {"url": "data/6676.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fdc086"}, "x": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Number of immigrants"}, "field": "Number of immigrants"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}}, "title": ["Number of immigrants in Germany in 2019", ", by country of origin"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The chart shows Romania clearly is the highest number of origin immigrants in Germany. There is no clear trend highlighted in the chart.

Chart data: Number of immigrants Country 230096 Romania 130689 Poland 83218 Bulgaria 62708 Italy 51610 Turkey 42556 Croatia 36004 India 34965 Hungary 29945 United States 28903 Serbia

Vega-Lite specification:
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Chart description: April has the highest unemployment for the year. Oct 19 had a lower unemployment score then Oct 20.

Chart data: Unemployment rate Month 0.067 Nov '20 0.069 Oct '20 0.079 Sep '20 0.084 Aug '20 0.102 Jul '20 0.111 Jun '20 0.133 May '20 0.147 Apr '20 0.044 Mar '20 0.035 Feb '20 0.036 Jan '20 0.035 Dec '19 0.035 Nov '19 0.036 Oct '19

Vega-Lite specification:
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Chart description: As the years go by there is an overall positive trend in cheese production. Over the years from 2008 to 2019 there has been an approximate increase of 200,000,000kg It is not always the case that with each year there is an increase as some years we see a decrease on previous year.

Chart data: Volume in thousand kilograms Year 897405 2019* 878908 2018 874238 2017 887812 2016 844974 2015 771941 2014 793516 2013 764161 2012 749679 2011 752638 2010 712094 2009 721699 2008

Vega-Lite specification:
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Chart description: The urban population of Bangladesh has increased from below 50000 to 65000 since 2011.

Chart data: Year Urban population in thousands Dec 31, 2010 48058.7 Dec 31, 2011 49821.3 Dec 31, 2012 51624.2 Dec 31, 2013 53455.8 Dec 31, 2014 55305.1 Dec 31, 2015 57168 Dec 31, 2016 59046.8 Dec 31, 2017 60944.2 Dec 31, 2018 62865.82 Dec 31, 2019 64814.95

Vega-Lite specification:
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Chart description: The CVS health's share of retail prescriptions fills in the US from 2012 to 2025 has increased significantly with minor fluctuations.

Chart data: Response Share of retail prescriptions filled Dec 31, 2011 0.1725 Dec 31, 2012 0.2099 Dec 31, 2013 0.2163 Dec 31, 2014 0.2345 Dec 31, 2015 0.301 Dec 31, 2016 0.3272 Dec 31, 2017 0.3355 Dec 31, 2018 0.3455 Dec 31, 2019 0.3655 Dec 31, 2020 0.3855 Dec 31, 2021 0.4055 Dec 31, 2022 0.4255 Dec 31, 2023 0.4455 Dec 31, 2024 0.4655

Vega-Lite specification:
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Chart description: The leading brand plotted is Mac Cosmetics. The least popular brand plotted is Bobbi Brown Cosmetics.

Chart data: Brand fans in 1,000s company 1493.01 MACcosmetics 1223.79 Urban Decay 1022.79 NYX Cosmetics 950.53 Benefit Cosmetics US 768.06 Tarte Cosmetics 674.21 Maybelline New York 657.29 Smashbox Cosmetics 652.55 Make Up for Ever 629.78 Covergirl 608.05 Bobbi Brown Cosmetics

Vega-Lite specification:
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Chart description: Mac had the highest number of fans followed by urban decay, NYX and benefit - Bobbi Brown had the lowest but only slightly as the rest are around the same level.

Chart data: Brand fans in 1,000s company 1493.01 MACcosmetics 1223.79 Urban Decay 1022.79 NYX Cosmetics 950.53 Benefit Cosmetics US 768.06 Tarte Cosmetics 674.21 Maybelline New York 657.29 Smashbox Cosmetics 652.55 Make Up for Ever 629.78 Covergirl 608.05 Bobbi Brown Cosmetics

Vega-Lite specification:
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Chart description: Ticket price for an Orlando Magic NBA game was at its lowest in the 2006-07 season, at 35 dollars. In the 2007-08 season this price increases to about 38 dollars. In both the 08-09 and 09-10 seasons the ticket price remained the same - 40 dollars. Throughout the 2010-2011 season this ticket price increased to 42 dollars and in 2011-2012 the price reached its highest total, 45 dollars. In 2012-13 this price began to decrease, and from the 2013-14 season all the way to the 2015-16 season, the ticket price has remained steady, at a price of 39 dollars.

Chart data: Average ticket price in U.S. dollars Year 39.4 2015/16 39.4 2014/15 39.4 2013/14 41.18 2012/13 43.65 2011/12 43 2010/11 40.3 2009/10 40.3 2008/09 38.46 2007/08 35.29 2006/07

Vega-Lite specification:
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Chart description: Globally there were over 300 million people with hearing loss globally with Europe counting for approx 110million of those. Within Europe The United Kingdom and France have the higher amount of people with hearing loss than other EU countries.

Chart data: Country Estimated number of people with hearing loss Global 328 Europe* 119 European Union 51 United Kingdom 10 France 6 Spain 3.5 Netherlands 1.6 Austria 1.6 Sweden 1.4 Belgium 1.3 Poland 1 Denmark 0.8 Ireland 0.8

Vega-Lite specification:
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Chart description: Europe has the highest number of people who are hard of hearing. This represents almost a third of the global total. The European Union were the second largest group.

Chart data: Country Estimated number of people with hearing loss Global 328 Europe* 119 European Union 51 United Kingdom 10 France 6 Spain 3.5 Netherlands 1.6 Austria 1.6 Sweden 1.4 Belgium 1.3 Poland 1 Denmark 0.8 Ireland 0.8

Vega-Lite specification:
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Chart description: Between 2007 and 2009 profits in tax fell sharply into minus numbers, below -1000 million. This was followed by a sharp increase between 2009 and 2010 back into 2500millions.

Chart data: Year Profit after tax in million euros Dec 31, 2003 1870 Dec 31, 2004 2450 Dec 31, 2005 2170 Dec 31, 2006 2850 Dec 31, 2007 372 Dec 31, 2008 −1214 Dec 31, 2009 2489 Dec 31, 2010 1820 Dec 31, 2011 2304 Dec 31, 2012 1251 Dec 31, 2013 2637 Dec 31, 2014 3537 Dec 31, 2015 2374 Dec 31, 2016 3294 Dec 31, 2017 3574 Dec 31, 2018 2060

Vega-Lite specification:
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Chart description: The response to the share of the urban population in total population has remained the same from 2009 to 2019.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.8702 Dec 31, 2009 0.8707 Dec 31, 2010 0.8713 Dec 31, 2011 0.8719 Dec 31, 2012 0.8725 Dec 31, 2013 0.873 Dec 31, 2014 0.8736 Dec 31, 2015 0.8742 Dec 31, 2016 0.8749 Dec 31, 2017 0.8756 Dec 31, 2018 0.8764

Vega-Lite specification:
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Chart description: There has been no change in the urbanization in Chile from 2009 to 2019. In 2009 the urbanization level was just above 0.8. In 2019 the urbanization level was just above 0.8.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.8702 Dec 31, 2009 0.8707 Dec 31, 2010 0.8713 Dec 31, 2011 0.8719 Dec 31, 2012 0.8725 Dec 31, 2013 0.873 Dec 31, 2014 0.8736 Dec 31, 2015 0.8742 Dec 31, 2016 0.8749 Dec 31, 2017 0.8756 Dec 31, 2018 0.8764

Vega-Lite specification:
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Chart description: There was a gradual increase in real GDP in the first 5" years of the data. It then declined until near the year 2010 when there was a large increase which ended higher than the start of the graph in 2000 to 2020.

Chart data: Year Real GDP in billion U.S. dollars Dec 31, 1999 438.28 Dec 31, 2000 423.62 Dec 31, 2001 435.25 Dec 31, 2002 443.79 Dec 31, 2003 444.2 Dec 31, 2004 450.75 Dec 31, 2005 443.31 Dec 31, 2006 441.15 Dec 31, 2007 416.7 Dec 31, 2008 380.09 Dec 31, 2009 400.94 Dec 31, 2010 411.47 Dec 31, 2011 418.86 Dec 31, 2012 424.32 Dec 31, 2013 431.51 Dec 31, 2014 442.48 Dec 31, 2015 452.27 Dec 31, 2016 459.13 Dec 31, 2017 470.53 Dec 31, 2018 473.86

Vega-Lite specification:
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Chart description: There was a drop in Real Gross Domestic Product in about 2009. After the sudden drop in price after 2010 the price seemed to steadily increase.

Chart data: Year Real GDP in billion U.S. dollars Dec 31, 1999 438.28 Dec 31, 2000 423.62 Dec 31, 2001 435.25 Dec 31, 2002 443.79 Dec 31, 2003 444.2 Dec 31, 2004 450.75 Dec 31, 2005 443.31 Dec 31, 2006 441.15 Dec 31, 2007 416.7 Dec 31, 2008 380.09 Dec 31, 2009 400.94 Dec 31, 2010 411.47 Dec 31, 2011 418.86 Dec 31, 2012 424.32 Dec 31, 2013 431.51 Dec 31, 2014 442.48 Dec 31, 2015 452.27 Dec 31, 2016 459.13 Dec 31, 2017 470.53 Dec 31, 2018 473.86

Vega-Lite specification:
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Chart description: The GDP for Michigan is not very steady over time. There is a sharp dip in the Real GDP around 2009. There is a smaller dip around 2001. In all years, apart from 2009, the Real GDP for Michigan is between 400 and 500 billion dollars. In 2009, the Real GDP is around 380 billion dollars. Since 2009, there has been a steady increase in the Real GDP from around 380 billion dollars in 2009 to around 575 billion dollars in 2019.

Chart data: Year Real GDP in billion U.S. dollars Dec 31, 1999 438.28 Dec 31, 2000 423.62 Dec 31, 2001 435.25 Dec 31, 2002 443.79 Dec 31, 2003 444.2 Dec 31, 2004 450.75 Dec 31, 2005 443.31 Dec 31, 2006 441.15 Dec 31, 2007 416.7 Dec 31, 2008 380.09 Dec 31, 2009 400.94 Dec 31, 2010 411.47 Dec 31, 2011 418.86 Dec 31, 2012 424.32 Dec 31, 2013 431.51 Dec 31, 2014 442.48 Dec 31, 2015 452.27 Dec 31, 2016 459.13 Dec 31, 2017 470.53 Dec 31, 2018 473.86

Vega-Lite specification:
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Chart description: There is a drop in GDP between 2005 and 2010 amd from 2010 it begins to rise steadily again.

Chart data: Year Real GDP in billion U.S. dollars Dec 31, 1999 438.28 Dec 31, 2000 423.62 Dec 31, 2001 435.25 Dec 31, 2002 443.79 Dec 31, 2003 444.2 Dec 31, 2004 450.75 Dec 31, 2005 443.31 Dec 31, 2006 441.15 Dec 31, 2007 416.7 Dec 31, 2008 380.09 Dec 31, 2009 400.94 Dec 31, 2010 411.47 Dec 31, 2011 418.86 Dec 31, 2012 424.32 Dec 31, 2013 431.51 Dec 31, 2014 442.48 Dec 31, 2015 452.27 Dec 31, 2016 459.13 Dec 31, 2017 470.53 Dec 31, 2018 473.86

Vega-Lite specification:
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Chart description: The highest number of Annular Solar Production Globally (in megawatts) was in 2018, whilst the lowest production was in 2000. This has increased each year.

Chart data: Year Production in megawatts Dec 31, 1999 238 Dec 31, 2000 319 Dec 31, 2001 482 Dec 31, 2002 667 Dec 31, 2003 1160 Dec 31, 2004 1532 Dec 31, 2005 2068 Dec 31, 2006 3978 Dec 31, 2007 7050 Dec 31, 2008 11261 Dec 31, 2009 21400 Dec 31, 2010 36600 Dec 31, 2011 36487 Dec 31, 2012 39869 Dec 31, 2013 45965 Dec 31, 2014 62664 Dec 31, 2015 78060 Dec 31, 2016 105000 Dec 31, 2017 116000

Vega-Lite specification:
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Chart description: No production in 2000. Production was very slow for the first five years. Rose sharply from 2010 to 2015, and continued to rise.

Chart data: Year Production in megawatts Dec 31, 1999 238 Dec 31, 2000 319 Dec 31, 2001 482 Dec 31, 2002 667 Dec 31, 2003 1160 Dec 31, 2004 1532 Dec 31, 2005 2068 Dec 31, 2006 3978 Dec 31, 2007 7050 Dec 31, 2008 11261 Dec 31, 2009 21400 Dec 31, 2010 36600 Dec 31, 2011 36487 Dec 31, 2012 39869 Dec 31, 2013 45965 Dec 31, 2014 62664 Dec 31, 2015 78060 Dec 31, 2016 105000 Dec 31, 2017 116000

Vega-Lite specification:
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Chart description: The graph indicates that poverty peaked during 2011 before returning to previous stable poverty rates.

Chart data: Response Percentage of population Dec 31, 1999 0.111 Dec 31, 2000 0.112 Dec 31, 2001 0.116 Dec 31, 2002 0.113 Dec 31, 2003 0.119 Dec 31, 2004 0.12 Dec 31, 2005 0.123 Dec 31, 2006 0.119 Dec 31, 2007 0.122 Dec 31, 2008 0.133 Dec 31, 2009 0.138 Dec 31, 2010 0.15 Dec 31, 2011 0.147 Dec 31, 2012 0.147 Dec 31, 2013 0.144 Dec 31, 2014 0.136 Dec 31, 2015 0.13 Dec 31, 2016 0.126 Dec 31, 2017 0.121 Dec 31, 2018 0.115

Vega-Lite specification:
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Chart description: Over the 20 years of the study the number of employees have increased dramatically since 2005.

Chart data: Year Number of employees Dec 31, 1999 13362 Dec 31, 2000 13941 Dec 31, 2001 14716 Dec 31, 2002 15686 Dec 31, 2003 14254 Dec 31, 2004 15935 Dec 31, 2005 26376 Dec 31, 2006 31344 Dec 31, 2007 38982 Dec 31, 2008 39596 Dec 31, 2009 42541 Dec 31, 2010 46824 Dec 31, 2011 46306 Dec 31, 2012 49808 Dec 31, 2013 53731 Dec 31, 2014 55555 Dec 31, 2015 58902 Dec 31, 2016 56888 Dec 31, 2017 57016 Dec 31, 2018 59533

Vega-Lite specification:
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Chart description: Median income has doubled in the years between 1990 and 2019. Mediam income in North Carolina has increased from approximately $30,000 to $60,000. Median income is growing exponentially.

Chart data: Year Household income in current U.S. dollars Dec 31, 1989 26329 Dec 31, 1990 26853 Dec 31, 1991 27771 Dec 31, 1992 28820 Dec 31, 1993 30114 Dec 31, 1994 31979 Dec 31, 1995 35601 Dec 31, 1996 35840 Dec 31, 1997 35838 Dec 31, 1998 37254 Dec 31, 1999 38317 Dec 31, 2000 38162 Dec 31, 2001 36515 Dec 31, 2002 37279 Dec 31, 2003 40238 Dec 31, 2004 42056 Dec 31, 2005 39797 Dec 31, 2006 43513 Dec 31, 2007 42930 Dec 31, 2008 41906 Dec 31, 2009 43830 Dec 31, 2010 45206 Dec 31, 2011 41553 Dec 31, 2012 41208 Dec 31, 2013 46784 Dec 31, 2014 50797 Dec 31, 2015 53764 Dec 31, 2016 50343 Dec 31, 2017 53369 Dec 31, 2018 61159

Vega-Lite specification:
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Chart description: The median house hold income for North Carolina is consistently above 20,000 per year and starts reaching over 40,000 per year in 2005. 10 years after that I begins reaching 60,000 per year.

Chart data: Year Household income in current U.S. dollars Dec 31, 1989 26329 Dec 31, 1990 26853 Dec 31, 1991 27771 Dec 31, 1992 28820 Dec 31, 1993 30114 Dec 31, 1994 31979 Dec 31, 1995 35601 Dec 31, 1996 35840 Dec 31, 1997 35838 Dec 31, 1998 37254 Dec 31, 1999 38317 Dec 31, 2000 38162 Dec 31, 2001 36515 Dec 31, 2002 37279 Dec 31, 2003 40238 Dec 31, 2004 42056 Dec 31, 2005 39797 Dec 31, 2006 43513 Dec 31, 2007 42930 Dec 31, 2008 41906 Dec 31, 2009 43830 Dec 31, 2010 45206 Dec 31, 2011 41553 Dec 31, 2012 41208 Dec 31, 2013 46784 Dec 31, 2014 50797 Dec 31, 2015 53764 Dec 31, 2016 50343 Dec 31, 2017 53369 Dec 31, 2018 61159

Vega-Lite specification:
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Chart description: EU GDP growth rate decreased in 2020From 2013 to 2022 the EU GDP growth was rising.

Chart data: Real annual percentage change Year 0.03 2022* 0.041 2021* −0.074 2020* 0.015 2019 0.021 2018 0.027 2017 0.021 2016 0.023 2015 0.018 2014 0.003 2013

Vega-Lite specification:
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Chart description: There is a positive annual growth rate all years from 2013 to 2022 except 2020 which had a significant negative average growth rate of domestic product.

Chart data: Real annual percentage change Year 0.03 2022* 0.041 2021* −0.074 2020* 0.015 2019 0.021 2018 0.027 2017 0.021 2016 0.023 2015 0.018 2014 0.003 2013

Vega-Lite specification:
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Chart description: 2020 had the lowest GDP rate with a percentage of almost -0.082021 had the highest with 0.04. 2020 to 2021 had the biggest increase between years. 2013 seen the GDP closest to 0. 2014-2019 had the most consistent percentage, with only minor fluctuations.m and rarely going over 0.02 Percentage starts to fall again after the highest percentage in 2021.

Chart data: Real annual percentage change Year 0.03 2022* 0.041 2021* −0.074 2020* 0.015 2019 0.021 2018 0.027 2017 0.021 2016 0.023 2015 0.018 2014 0.003 2013

Vega-Lite specification:
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