delen/vistext huggingface dataset:
Chart description: GDP has decreased by less than 0.1 in 10 years,  it has steadily declined in this period.

Chart data: Year Services Dec 31, 2008 0.7297 Dec 31, 2009 0.7291 Dec 31, 2010 0.726 Dec 31, 2011 0.7134 Dec 31, 2012 0.6807 Dec 31, 2013 0.6657 Dec 31, 2014 0.6583 Dec 31, 2015 0.6498 Dec 31, 2016 0.6458 Dec 31, 2017 0.6469 Dec 31, 2018 0.6497

Vega-Lite specification:
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Chart description: Overall, the chart shows that the revenue of LVMH Group has increased from 2008 to 2018. From 2008 to 2009, there was a slight decrease in the revenue but since then, each year has higher revenue than the previous year.

Chart data: Year France Dec 31, 2007 2646 Dec 31, 2008 2478 Dec 31, 2009 2725 Dec 31, 2010 2866 Dec 31, 2011 3083 Dec 31, 2012 3118 Dec 31, 2013 3212 Dec 31, 2014 3552 Dec 31, 2015 3745 Dec 31, 2016 4172 Dec 31, 2017 4491 Dec 31, 2018 4725

Vega-Lite specification:
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Chart description: the area chart shows the steady increase in Japans revenue, measure in million euros over the 10year observation period. The area chart shows there was a decrease in million euros revenue for Japan between 2008/2010 and 2012/2014.

Chart data: Year Japan Dec 31, 2007 1779 Dec 31, 2008 1683 Dec 31, 2009 1784 Dec 31, 2010 1970 Dec 31, 2011 2351 Dec 31, 2012 2057 Dec 31, 2013 2107 Dec 31, 2014 2487 Dec 31, 2015 2696 Dec 31, 2016 2957 Dec 31, 2017 3351 Dec 31, 2018 3878

Vega-Lite specification:
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Chart description: There is an increasing trend over time. There is a sharp increase in 2016.

Chart data: Year Asia (excl. Japan) Dec 31, 2007 3404 Dec 31, 2008 3850 Dec 31, 2009 4991 Dec 31, 2010 6430 Dec 31, 2011 7876 Dec 31, 2012 8647 Dec 31, 2013 8740 Dec 31, 2014 9636 Dec 31, 2015 9922 Dec 31, 2016 11877 Dec 31, 2017 13723 Dec 31, 2018 16189

Vega-Lite specification:
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Chart description: The revenue of the lvmh group  increased rapidly in 2016 from 10,000 to 17500 in 2019.

Chart data: Year Asia (excl. Japan) Dec 31, 2007 3404 Dec 31, 2008 3850 Dec 31, 2009 4991 Dec 31, 2010 6430 Dec 31, 2011 7876 Dec 31, 2012 8647 Dec 31, 2013 8740 Dec 31, 2014 9636 Dec 31, 2015 9922 Dec 31, 2016 11877 Dec 31, 2017 13723 Dec 31, 2018 16189

Vega-Lite specification:
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Chart description: Q2 2017 showed the biggest distribution of category 'other', with 0.10 share. The smallest distribution was 0.02 in Q1 2018. 2016 was steady at 0.04 until Q4 when it rose to 0.09. There was a drop from 0.06 in Q4 2017 to 0.02 in Q1 2018.

Chart data: Quarter Other Q1 2018 0.02 Q4 2017 0.06 Q3 2017 0.04 Q2 2017 0.1 Q1 2017 0.08 Q4 2016 0.09 Q3 2016 0.04 Q2 2016 0.04 Q1 2016 0.04 Q4 2015 0.04

Vega-Lite specification:
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Chart description: The graph doesn't make sense as I don't understand what other relates to.

Chart data: Quarter Other Q1 2018 0.02 Q4 2017 0.06 Q3 2017 0.04 Q2 2017 0.1 Q1 2017 0.08 Q4 2016 0.09 Q3 2016 0.04 Q2 2016 0.04 Q1 2016 0.04 Q4 2015 0.04

Vega-Lite specification:
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Chart description: There appears to be a decrease just before 2012, but this has slowly increased, until 2016 where another decrease begins. This then plateaus at the start of 2018.

Chart data: Year Agriculture Dec 31, 2008 0.0991 Dec 31, 2009 0.0973 Dec 31, 2010 0.096 Dec 31, 2011 0.0864 Dec 31, 2012 0.0877 Dec 31, 2013 0.0913 Dec 31, 2014 0.0945 Dec 31, 2015 0.0952 Dec 31, 2016 0.0933 Dec 31, 2017 0.0895 Dec 31, 2018 0.09

Vega-Lite specification:
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Chart description: services has consitently been around 0.5 the entire time.

Chart data: Year Services Dec 31, 2008 0.5206 Dec 31, 2009 0.5115 Dec 31, 2010 0.4931 Dec 31, 2011 0.4898 Dec 31, 2012 0.4925 Dec 31, 2013 0.4935 Dec 31, 2014 0.5137 Dec 31, 2015 0.5155 Dec 31, 2016 0.5123 Dec 31, 2017 0.5144 Dec 31, 2018 0.5185

Vega-Lite specification:
{"config": {"view": {"fill": "#e5e5e5"}, "area": {"fill": "#000"}, "line": {"stroke": "#000"}, "rect": {"fill": "#000"}, "bar": {"fill": "#000"}, "point": {"color": "#000", "size": 40}, "axis": {"domain": false, "grid": true, "gridColor": "#FFFFFF", "gridOpacity": 1, "labelColor": "#7F7F7F", "labelPadding": 4, "tickColor": "#7F7F7F", "tickSize": 5.67, "titleFontSize": 16, "titleFontWeight": "normal"}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 40}, "range": {"category": ["#000000", "#7F7F7F", "#1A1A1A", "#999999", "#333333", "#B0B0B0", "#4D4D4D", "#C9C9C9", "#666666", "#DCDCDC"]}}, "data": {"url": "multiColumn/data/2159.tsv"}, "mark": "line", "encoding": {"color": {"value": "#1A1A1A"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Services"}, "field": "Services"}}, "title": ["Ecuador : Share of economic sectors in the", "gross domestic product (GDP) from 2009 to", "2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In Ecuador, the share of economic sectors is relatively stable and sits above 0.5 for the most part between 2009 to 2019, with only 3 years when it fell below between 2011 and 2014.

Chart data: Year Services Dec 31, 2008 0.5206 Dec 31, 2009 0.5115 Dec 31, 2010 0.4931 Dec 31, 2011 0.4898 Dec 31, 2012 0.4925 Dec 31, 2013 0.4935 Dec 31, 2014 0.5137 Dec 31, 2015 0.5155 Dec 31, 2016 0.5123 Dec 31, 2017 0.5144 Dec 31, 2018 0.5185

Vega-Lite specification:
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Chart description: The number of Starbucks stores in Canada has increased every year from 2005 to 2019. The greatest increase was between 2005 and 2013. After 2013, the increase in the number of stores slowed.

Chart data: Company-operated stores Year 1175 2019 1109 2018 1083 2017 1035 2016 1009 2015 983 2014 940 2013 874 2012 836 2011 799 2010 775 2009 731 2008* 627 2007* 508 2006 434 2005

Vega-Lite specification:
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Chart description: Consumption if gas raised through the years to its highest in 2019 with 10,000 compared to its lowest in 2005 with about 7000.

Chart data: Year Industrial 2019*** 10245 2018 10062 2017 9533 2016 9274 2015 9098 2014 9158 2013 8909 2012 8622 2011 8227 2010 8112 2005 7713

Vega-Lite specification:
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Chart description: Age structure from 2009 to 2019 in Zimbabwe remained relatively stable throughout the 10 years.

Chart data: Year 0-14 years Dec 31, 2008 0.4141 Dec 31, 2009 0.4161 Dec 31, 2010 0.4178 Dec 31, 2011 0.42 Dec 31, 2012 0.4223 Dec 31, 2013 0.4243 Dec 31, 2014 0.4255 Dec 31, 2015 0.4267 Dec 31, 2016 0.426 Dec 31, 2017 0.424 Dec 31, 2018 0.4216

Vega-Lite specification:
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Chart description: In Zimbabbwe the age structure mostly stayed the over 2010-18  wwith slight dip 2016.

Chart data: Year 15-64 years Dec 31, 2008 0.5547 Dec 31, 2009 0.5532 Dec 31, 2010 0.5518 Dec 31, 2011 0.5501 Dec 31, 2012 0.5484 Dec 31, 2013 0.5469 Dec 31, 2014 0.546 Dec 31, 2015 0.5447 Dec 31, 2016 0.5451 Dec 31, 2017 0.5466 Dec 31, 2018 0.5486

Vega-Lite specification:
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Chart description: Starting at £400 million in 2012, Manchester City increased revenue at a steady rate until 2917, when a sudden increase reached £1.150 million in 2020.

Chart data: Month Manchester City Jan 31, 2011 316.17 Aug 31, 2011 398.7 Jan 31, 2012 383.85 Aug 31, 2012 440.33 Jan 31, 2013 391.5 Aug 31, 2013 425.48 Jan 31, 2014 405.9 Sep 30, 2014 397.13 Jan 31, 2015 389.93 Aug 31, 2015 432.77 Jan 31, 2016 460.35 Aug 31, 2016 466.2 Jan 31, 2017 486.23 Aug 31, 2017 546.08 Jan 31, 2018 726.75 Aug 31, 2018 952.2 Jan 31, 2019 1010 Aug 31, 2019 1140 Jan 31, 2020 1160

Vega-Lite specification:
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Chart description: The market value trend for Chelsea FC has risen by double between 2011 and 2020.

Chart data: Month Chelsea FC Jan 31, 2011 320.4 Aug 31, 2011 364.5 Jan 31, 2012 372.6 Aug 31, 2012 352.8 Jan 31, 2013 348.08 Aug 31, 2013 463.28 Jan 31, 2014 347.63 Sep 30, 2014 400.28 Jan 31, 2015 399.38 Aug 31, 2015 479.48 Jan 31, 2016 471.29 Aug 31, 2016 465.57 Jan 31, 2017 430.92 Aug 31, 2017 545.31 Jan 31, 2018 626.18 Aug 31, 2018 766.58 Jan 31, 2019 775.58 Aug 31, 2019 715.28 Jan 31, 2020 758.93

Vega-Lite specification:
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Chart description: Arsenals net value has increased from 2011 to 2020.

Chart data: Month Arsenal FC Jan 31, 2011 262.8 Aug 31, 2011 249.12 Jan 31, 2012 261.5 Aug 31, 2012 254.48 Jan 31, 2013 253.8 Aug 31, 2013 265.95 Jan 31, 2014 334.8 Sep 30, 2014 370.17 Jan 31, 2015 350.82 Aug 31, 2015 361.8 Jan 31, 2016 365.4 Aug 31, 2016 421.65 Jan 31, 2017 440.55 Aug 31, 2017 461.7 Jan 31, 2018 443.21 Aug 31, 2018 498.6 Jan 31, 2019 553.95 Aug 31, 2019 592.88 Jan 31, 2020 625.1

Vega-Lite specification:
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Chart description: signifactn increase in market value trednds of the premier league in the UK.

Chart data: Month Everton FC Jan 31, 2011 139.41 Aug 31, 2011 154.17 Jan 31, 2012 128.25 Aug 31, 2012 112.91 Jan 31, 2013 119.12 Aug 31, 2013 141.53 Jan 31, 2014 156.69 Sep 30, 2014 151.43 Jan 31, 2015 145.17 Aug 31, 2015 161.82 Jan 31, 2016 183.83 Aug 31, 2016 215.33 Jan 31, 2017 220.37 Aug 31, 2017 289.35 Jan 31, 2018 299.93 Aug 31, 2018 360 Jan 31, 2019 383.4 Aug 31, 2019 467.1 Jan 31, 2020 428.13

Vega-Lite specification:
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Chart description: Watching tv or movies was calculated to be the most popular response. Cooking and playing video games are the joint lowest recorded responses.

Chart data: Response Somewhat Cooking and eatign meals together 0.27 Doing things outside together like playing, takign a walk or going to the park 0.4 Reading together 0.39 Doing indoor activities together, like playing with toys, games or art projects (not TV or video games) 0.42 Watching TV or movies together at home 0.43 Singing songs or making music together 0.36 Participating in clubs or other groups together 0.36 Playing or attending sports events together 0.29 Doing things on a computer, tablet or smartphone together 0.36 Playing video games together 0.27

Vega-Lite specification:
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Chart description: The most popular activities for families to do together are watching TV/movies and doing indoor activities.

Chart data: Response Somewhat Cooking and eatign meals together 0.27 Doing things outside together like playing, takign a walk or going to the park 0.4 Reading together 0.39 Doing indoor activities together, like playing with toys, games or art projects (not TV or video games) 0.42 Watching TV or movies together at home 0.43 Singing songs or making music together 0.36 Participating in clubs or other groups together 0.36 Playing or attending sports events together 0.29 Doing things on a computer, tablet or smartphone together 0.36 Playing video games together 0.27

Vega-Lite specification:
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Chart description: The family clearly enjoy playing videogames together. The family play or attend sports together. They prefer to do things on the computer to reading or watching tv together. They dont enjoy cooking or eating together probably because they are an active family who on the whole enjoy more physical activities.

Chart data: Response Not at all Cooking and eatign meals together 0.01 Doing things outside together like playing, takign a walk or going to the park 0.02 Reading together 0.02 Doing indoor activities together, like playing with toys, games or art projects (not TV or video games) 0.02 Watching TV or movies together at home 0.02 Singing songs or making music together 0.1 Participating in clubs or other groups together 0.1 Playing or attending sports events together 0.19 Doing things on a computer, tablet or smartphone together 0.13 Playing video games together 0.25

Vega-Lite specification:
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Chart description: In 1980 virtually all the marathon race finishers were men. By 2015 over 20% of the finishers were women. 1995-2000 showed a 10% increase in the number of women finishers.

Chart data: Year Men Dec 31, 1979 0.9 Dec 31, 1994 0.74 Dec 31, 1999 0.62 Dec 31, 2004 0.59 Dec 31, 2009 0.59 Dec 31, 2010 0.59 Dec 31, 2011 0.58 Dec 31, 2012 0.57 Dec 31, 2013 0.57 Dec 31, 2014 0.56

Vega-Lite specification:
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Chart description: The price of Games consoles and video games increased over time until peaking in 2014. Thereafter the prices decreased and then have stabilized since 2016.

Chart data: Year Consoles 2019 265 2018 266 2017 267 2016 262 2015 304 2014 315 2013* 249 2012 207 2011 201 2010 208 2009 206 2008 210 2007 204 2006 167 2005 150

Vega-Lite specification:
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Chart description: Wine production in California increased from under 600 million gallons in 2006 to around 700 million gallons in 2016. There were some slight drops along such as in 2008 productions was lower than in 2006. Similar case between 2009 and 2010 when it dropped back to around 600 million gallons and stayed like it for a year. This is followed by a big increase peaking in 2013 with 700 million gallons. Production slowed down again the following 2 years until it started to increase again from 2015.

Chart data: Year California Dec 31, 2005 557.13 Dec 31, 2006 565.95 Dec 31, 2007 545.86 Dec 31, 2008 631.58 Dec 31, 2009 606.45 Dec 31, 2010 605.62 Dec 31, 2011 662.82 Dec 31, 2012 728.94 Dec 31, 2013 709.65 Dec 31, 2014 638.17 Dec 31, 2015 680.27 Dec 31, 2016 716.31

Vega-Lite specification:
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Chart description: From the bar chart shown trends observed are that after months of general similarities in numbers there would be a spike in numbers of bankruptcies.

Chart data: Construction Month 102 Feb 125 Mar 119 Apr 90 May 90 Jun 77 Jul 63 Aug 72 Sep 90 Oct 105 Nov

Vega-Lite specification:
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Chart description: April showed the largest amount of restaurant and hotel bankruptcies after the coronavirus outbreak, with just under 100, whereas August showed the fewest at approximately 22.

Chart data: Restaurant and hotel Month 46 Feb 78 Mar 99 Apr 74 May 60 Jun 33 Jul 24 Aug 37 Sep 55 Oct 55 Nov

Vega-Lite specification:
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Chart description: There are some missing months, and the ones there aren't in order and no year is given, making the graph meaningless.

Chart data: Retail Month 54 Feb 58 Mar 88 Apr 81 May 52 Jun 47 Jul 33 Aug 43 Sep 57 Oct 52 Nov

Vega-Lite specification:
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Chart description: The greatest number of bankruptcies were in March.

Chart data: Month Transportation Feb 35 Mar 43 Apr 34 May 36 Jun 30 Jul 16 Aug 24 Sep 26 Oct 31 Nov 34

Vega-Lite specification:
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Chart description: There is a generic negative linear as the years move on. The longer the study goes the less agriculture there is,.

Chart data: Year Agriculture Dec 31, 2008 0.1166 Dec 31, 2009 0.1105 Dec 31, 2010 0.1107 Dec 31, 2011 0.1055 Dec 31, 2012 0.1036 Dec 31, 2013 0.1007 Dec 31, 2014 0.0997 Dec 31, 2015 0.0966 Dec 31, 2016 0.0968 Dec 31, 2017 0.0944 Dec 31, 2018 0.0937

Vega-Lite specification:
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Chart description: Distribution of gross domestic product (GDP) across Agriculture economic sector in Guatemala has declined from 2009 to 2019. Being highest in 2009 at nearly 0.12 to 0.09 in 2009 in a smooth downward trend.

Chart data: Year Agriculture Dec 31, 2008 0.1166 Dec 31, 2009 0.1105 Dec 31, 2010 0.1107 Dec 31, 2011 0.1055 Dec 31, 2012 0.1036 Dec 31, 2013 0.1007 Dec 31, 2014 0.0997 Dec 31, 2015 0.0966 Dec 31, 2016 0.0968 Dec 31, 2017 0.0944 Dec 31, 2018 0.0937

Vega-Lite specification:
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