delen/vistext huggingface dataset:
Chart description: There was a significant dip in income in 2015 but since then it has risen slightly year on year. The company has yet to recover to its highest level of income in 2012.

Chart data: Year Japan 2019 1.21 2018 1.13 2017 1.11 2016 1.07 2015 1.01 2014 1.1 2013 1.2 2012 1.33 2011 1.29 2010 1.19 2009 1.2

Vega-Lite specification:
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Chart description: The information looks to show that Sothebys revenue has increased by 100million dollars over the last 7 years. There have generally been ups and downs, with an overall trend of an upwards climbs.

Chart data: Year United Kingdom Dec 31, 2008 145.3 Dec 31, 2009 233.79 Dec 31, 2010 243.03 Dec 31, 2011 221.72 Dec 31, 2012 230.3 Dec 31, 2013 271.51 Dec 31, 2014 257.34 Dec 31, 2015 193.72 Dec 31, 2016 229.59 Dec 31, 2017 263.12

Vega-Lite specification:
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Chart description: Overall, the Sotheby's worldwide revenue increased between 2009 and 2017 relatively to the 2009 benchmark. After a sharp initial increase, the revenue fluctuated between 220 and 270 between 2010 and 2014. After 2014 a two-year decline was observed, although it didn't take Sotheby's to 2009 initial value. The revenue recovered in 2017 to the 2014 level. Overall, the diagram indicates that Sotheby's enjoed consistently significant revenue between 2010 and 2017, with a relatively lower revenue in 2016.

Chart data: Year United Kingdom Dec 31, 2008 145.3 Dec 31, 2009 233.79 Dec 31, 2010 243.03 Dec 31, 2011 221.72 Dec 31, 2012 230.3 Dec 31, 2013 271.51 Dec 31, 2014 257.34 Dec 31, 2015 193.72 Dec 31, 2016 229.59 Dec 31, 2017 263.12

Vega-Lite specification:
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Chart description: Revenue from Sothebys worldwide has increased by 125 million dollars since 2009.

Chart data: Year China* Dec 31, 2008 50.06 Dec 31, 2009 111.65 Dec 31, 2010 156.36 Dec 31, 2011 108.4 Dec 31, 2012 153.91 Dec 31, 2013 165.07 Dec 31, 2014 146.26 Dec 31, 2015 145.89 Dec 31, 2016 223.26 Dec 31, 2017 176.64

Vega-Lite specification:
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Chart description: Coca-cola has the highest penetration rate in Turkey from 2012-2013.

Chart data: Brand 2012 Coca-Col  0.8; Brand: Coca-Cola Cola Turk  0.08; Brand: Cola Turka Pepsi Col  0.31; Brand: Pepsi Cola Fant  0.33; Brand: Fanta Fruk  0.12; Brand: Fruko Çamlic  0.12; Brand: Çamlica Uluda  0.1; Brand: Uludag Yedigü  0.06; Brand: Yedigün Sprit  0.1; Brand: Sprite 7-U  0.01; Brand: 7-Up Magnu  0.01; Brand: Magnum Uludag Efsan  0.03; Brand: Uludag Efsane Krista  0; Brand: Kristal Lil  0; Brand: Lilt Dr Peppe  0.01; Brand: Dr Pepper Appletise  0; Brand: Appletiser Lucozad  0.01; Brand: Lucozade Mirind  0; Brand: Mirinda Mountain De  0; Brand: Mountain Dew

Vega-Lite specification:
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Chart description: 2018 showed the highest figure of people leaving or returning to Spain at almost 90,000. 2010,2012 and 2013 saw the same rates at around 30,000.In 2019 the figure had dropped off to below 40,000.

Chart data: Inflow Year 30418 2010 35442 2011 31565 2012 32422 2013 40968 2014 52109 2015 62573 2016 78182 2017 83686 2018 38751 2019*

Vega-Lite specification:
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Chart description: The smallest inflow can be observed in 2010, 2012 and 2013 when it was between 20 000 and 40 000. The biggest inflow can be observed in 2018 when it was just above 80 000, followed by 2017 when it was a little less than 80 000. In 2019 the inflow rapidly decreases to 40 000.

Chart data: Inflow Year 30418 2010 35442 2011 31565 2012 32422 2013 40968 2014 52109 2015 62573 2016 78182 2017 83686 2018 38751 2019*

Vega-Lite specification:
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Chart description: Inflow was fairly stable from 2010-2013, then increased steadily until 2018, followed by a drop in 2019. In 2019 inflow returned to levels similar to 2014Inflow maxed at over 80,000.

Chart data: Inflow Year 30418 2010 35442 2011 31565 2012 32422 2013 40968 2014 52109 2015 62573 2016 78182 2017 83686 2018 38751 2019*

Vega-Lite specification:
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Chart description: From 2014 there was an increase of people moving to/leaving Spain, culminating in the highest number in 2019. The numbers rapidly fell in 2020, the chart does not provide a reason for this.

Chart data: Inflow Year 30418 2010 35442 2011 31565 2012 32422 2013 40968 2014 52109 2015 62573 2016 78182 2017 83686 2018 38751 2019*

Vega-Lite specification:
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Chart description: Total income for Canadian senior couples has increased stedily for the last twenty years from 60,000 to 115,000.

Chart data: Year 55 to 64 years Dec 31, 1999 59100 Dec 31, 2000 62600 Dec 31, 2001 65500 Dec 31, 2002 67100 Dec 31, 2003 70000 Dec 31, 2004 73200 Dec 31, 2005 76600 Dec 31, 2006 80340 Dec 31, 2007 83740 Dec 31, 2008 83750 Dec 31, 2009 85750 Dec 31, 2010 89050 Dec 31, 2011 92450 Dec 31, 2012 95370 Dec 31, 2013 98480 Dec 31, 2014 100960 Dec 31, 2015 102610 Dec 31, 2016 106350 Dec 31, 2017 110970

Vega-Lite specification:
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Chart description: The median total income of senior couple families in Canada has increased from the year 2000 to the year 2018.

Chart data: Year 55 to 64 years Dec 31, 1999 59100 Dec 31, 2000 62600 Dec 31, 2001 65500 Dec 31, 2002 67100 Dec 31, 2003 70000 Dec 31, 2004 73200 Dec 31, 2005 76600 Dec 31, 2006 80340 Dec 31, 2007 83740 Dec 31, 2008 83750 Dec 31, 2009 85750 Dec 31, 2010 89050 Dec 31, 2011 92450 Dec 31, 2012 95370 Dec 31, 2013 98480 Dec 31, 2014 100960 Dec 31, 2015 102610 Dec 31, 2016 106350 Dec 31, 2017 110970

Vega-Lite specification:
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Chart description: the line of this chart is seemingly in a upward trend, and each 5 years continues to break the line and goes up.

Chart data: Year 65 years and over Dec 31, 1999 39500 Dec 31, 2000 41500 Dec 31, 2001 42100 Dec 31, 2002 43000 Dec 31, 2003 44600 Dec 31, 2004 46200 Dec 31, 2005 48400 Dec 31, 2006 51080 Dec 31, 2007 53130 Dec 31, 2008 53760 Dec 31, 2009 54810 Dec 31, 2010 56700 Dec 31, 2011 58710 Dec 31, 2012 60530 Dec 31, 2013 62540 Dec 31, 2014 64590 Dec 31, 2015 65390 Dec 31, 2016 67420 Dec 31, 2017 70060

Vega-Lite specification:
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Chart description: Agriculture was at its highest in 2010 but its lowest in 2017.

Chart data: Year Agriculture Dec 31, 2007 0.0104 Dec 31, 2008 0.0091 Dec 31, 2009 0.011 Dec 31, 2010 0.0109 Dec 31, 2011 0.0107 Dec 31, 2012 0.0092 Dec 31, 2013 0.0086 Dec 31, 2014 0.0082 Dec 31, 2015 0.0087 Dec 31, 2016 0.0079 Dec 31, 2017 0.0089

Vega-Lite specification:
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Chart description: Apart from 2015, they have done well and increased.

Chart data: Year Industry Dec 31, 2007 0.1039 Dec 31, 2008 0.1001 Dec 31, 2009 0.115 Dec 31, 2010 0.1205 Dec 31, 2011 0.1303 Dec 31, 2012 0.1291 Dec 31, 2013 0.1368 Dec 31, 2014 0.118 Dec 31, 2015 0.134 Dec 31, 2016 0.1393 Dec 31, 2017 0.13

Vega-Lite specification:
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Chart description: Increase in the industry can bee seen between 2008 and 2016. Since the drop in 2014 the industry keeps between 0.12 and 0.14.

Chart data: Year Industry Dec 31, 2007 0.1039 Dec 31, 2008 0.1001 Dec 31, 2009 0.115 Dec 31, 2010 0.1205 Dec 31, 2011 0.1303 Dec 31, 2012 0.1291 Dec 31, 2013 0.1368 Dec 31, 2014 0.118 Dec 31, 2015 0.134 Dec 31, 2016 0.1393 Dec 31, 2017 0.13

Vega-Lite specification:
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Chart description: There has been a steady decrease from2008 to 2016. The maximum is 0.8 and minimum 0.75.

Chart data: Year Services Dec 31, 2007 0.8117 Dec 31, 2008 0.8229 Dec 31, 2009 0.8107 Dec 31, 2010 0.798 Dec 31, 2011 0.7694 Dec 31, 2012 0.7802 Dec 31, 2013 0.785 Dec 31, 2014 0.7775 Dec 31, 2015 0.7634 Dec 31, 2016 0.7347 Dec 31, 2017 0.742

Vega-Lite specification:
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Chart description: The age structure in Cyprus has decreased slightly between 2009 to 2019.

Chart data: Year 0-14 years Dec 31, 2008 0.1826 Dec 31, 2009 0.1784 Dec 31, 2010 0.1762 Dec 31, 2011 0.174 Dec 31, 2012 0.172 Dec 31, 2013 0.1704 Dec 31, 2014 0.169 Dec 31, 2015 0.1687 Dec 31, 2016 0.1684 Dec 31, 2017 0.1679 Dec 31, 2018 0.1671

Vega-Lite specification:
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Chart description: Over the 10 years shown in the chart, age structure hasn't changed much. Age structure was highest in 2009. Age structure of 0-14 year olds declined gradually between 2009 and 2019.

Chart data: Year 0-14 years Dec 31, 2008 0.1826 Dec 31, 2009 0.1784 Dec 31, 2010 0.1762 Dec 31, 2011 0.174 Dec 31, 2012 0.172 Dec 31, 2013 0.1704 Dec 31, 2014 0.169 Dec 31, 2015 0.1687 Dec 31, 2016 0.1684 Dec 31, 2017 0.1679 Dec 31, 2018 0.1671

Vega-Lite specification:
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Chart description: Overall, the age in Cyprus has risen from 2009 to 2019 steadily.

Chart data: Year 65 years and older Dec 31, 2008 0.1125 Dec 31, 2009 0.1142 Dec 31, 2010 0.1167 Dec 31, 2011 0.1194 Dec 31, 2012 0.1223 Dec 31, 2013 0.1253 Dec 31, 2014 0.1283 Dec 31, 2015 0.1312 Dec 31, 2016 0.1342 Dec 31, 2017 0.1372 Dec 31, 2018 0.1405

Vega-Lite specification:
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Chart description: I can see that there is a steady climb in people waiting to get married. It is a slow climb, but definitely happening.

Chart data: Year Women Dec 31, 2007 33.4 Dec 31, 2008 33.4 Dec 31, 2009 33.4 Dec 31, 2010 33.8 Dec 31, 2011 33.8 Dec 31, 2012 33.8 Dec 31, 2013 33.9 Dec 31, 2014 34.4 Dec 31, 2015 34.7 Dec 31, 2016 35 Dec 31, 2017 35.2 Dec 31, 2018 35.5

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#3e5c69"}, "line": {"stroke": "#3e5c69"}, "rect": {"fill": "#3e5c69"}, "bar": {"fill": "#3e5c69"}, "point": {"color": "#3e5c69"}, "axis": {"domainWidth": 0.5, "grid": true, "labelPadding": 2, "tickSize": 5, "tickWidth": 0.5, "titleFontWeight": "normal"}, "axisBand": {"grid": false}, "axisX": {"gridWidth": 0.2}, "axisY": {"gridDash": [3], "gridWidth": 0.4}, "legend": {"labelFontSize": 11, "padding": 1, "symbolType": "square"}, "range": {"category": ["#3e5c69", "#6793a6", "#182429", "#0570b0", "#3690c0", "#74a9cf", "#a6bddb", "#e2ddf2"]}}, "data": {"url": "multiColumn/data/4574.tsv"}, "mark": "line", "encoding": {"color": {"value": "#e2ddf2"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Women"}, "field": "Women"}}, "title": ["Average age at marriage in the Netherlands", "from 2009 to 2019 , by gender"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There has been a slight increase in age of marriage from 2008 to 2018. The age has increased more steeply in recent years.

Chart data: Year Women Dec 31, 2007 33.4 Dec 31, 2008 33.4 Dec 31, 2009 33.4 Dec 31, 2010 33.8 Dec 31, 2011 33.8 Dec 31, 2012 33.8 Dec 31, 2013 33.9 Dec 31, 2014 34.4 Dec 31, 2015 34.7 Dec 31, 2016 35 Dec 31, 2017 35.2 Dec 31, 2018 35.5

Vega-Lite specification:
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Chart description: HID has been increasing from 2013. The highest is 1,400 in 2023.

Chart data: Year HID 2023* 1430 2022 * 1260 2021* 1160 2020 * 1060 2019* 980 2018* 880 2017* 760 2016 760 2015 700 2014 650 2013 630

Vega-Lite specification:
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Chart description: Over the ten years covered by the chart, the estimated market value of grow lights has increased from around 600 to just below 1500 with the rate of increase in value accelerating from 2018 onwards.

Chart data: Year HID 2023* 1430 2022 * 1260 2021* 1160 2020 * 1060 2019* 980 2018* 880 2017* 760 2016 760 2015 700 2014 650 2013 630

Vega-Lite specification:
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Chart description: The graph shows that consumer spending expectations for the following 6 months after covid in the US in march 2020 showed that expectations would be that most people would spend less on Tobacco and smoking products closely followed by luxury products. Of the products in the study  Vitamins and minerals spend was expected to be nearly the same as before March 2020.

Chart data: A lot less consumer products 0.03 Fresh and organic goods 0.01 Vitamins, minerals, herbs, or supplements 0.1 Home furniture and décor 0.1 Nonmobile consumer electronics and appliances 0.08 Cars/automobiles 0.09 Mobile electronics 0.13 Toys and games 0.14 Luxury/fashion 0.16 Tobacco and smoking products 0.11 Outerwear/jackets/coats

Vega-Lite specification:
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Chart description: That there will be most spending on vitamins and least spending on tobacco products.All spending will be more on all protean previously.

Chart data: About the same consumer products 0.67 Fresh and organic goods 0.72 Vitamins, minerals, herbs, or supplements 0.61 Home furniture and décor 0.64 Nonmobile consumer electronics and appliances 0.67 Cars/automobiles 0.64 Mobile electronics 0.63 Toys and games 0.63 Luxury/fashion 0.59 Tobacco and smoking products 0.63 Outerwear/jackets/coats

Vega-Lite specification:
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Chart description: his diagram clearly shows that customers were highly expected to spend on Vitamins, minerals, herbs or supp.. . It can also be found that second expectation is shared by two customer products, cars/automobiles and fresh and organic foods. The lowest expectation was the purchase of tobacco and smoking products as shown on the diagram above.

Chart data: About the same consumer products 0.67 Fresh and organic goods 0.72 Vitamins, minerals, herbs, or supplements 0.61 Home furniture and décor 0.64 Nonmobile consumer electronics and appliances 0.67 Cars/automobiles 0.64 Mobile electronics 0.63 Toys and games 0.63 Luxury/fashion 0.59 Tobacco and smoking products 0.63 Outerwear/jackets/coats

Vega-Lite specification:
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Chart description: The graph shows that twitter followers increased up to 2017 then appeared to plateau.

Chart data: Month Facebook fans Aug 31, 2012 0.23 Jan 31, 2013 0.27 Aug 31, 2013 0.33 Feb 28, 2014 0.84 Aug 31, 2014 1.12 Feb 28, 2015 1.36 Aug 31, 2015 1.53 Feb 29, 2016 1.65 Aug 31, 2016 1.83 Feb 28, 2017 1.84 Aug 31, 2017 1.84 Feb 28, 2018 1.84 Aug 31, 2018 1.84 Feb 28, 2019 1.84 Aug 31, 2019 1.89 Feb 29, 2020 1.87 Aug 31, 2020 1.85

Vega-Lite specification:
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Chart description: It is observable that the number of fans/followers has grown constantly from 2012 to 2020 with a few minor stagnation periods. I believe that the consistent growth of the fan base is based directly on the popularity and results of the team.

Chart data: Month Twitter followers Aug 31, 2012 0.09 Jan 31, 2013 0.14 Aug 31, 2013 0.18 Feb 28, 2014 0.23 Aug 31, 2014 0.28 Feb 28, 2015 0.33 Aug 31, 2015 0.38 Feb 29, 2016 0.44 Aug 31, 2016 0.51 Feb 28, 2017 0.61 Aug 31, 2017 0.73 Feb 28, 2018 0.85 Aug 31, 2018 0.85 Feb 28, 2019 0.85 Aug 31, 2019 0.95 Feb 29, 2020 1.01 Aug 31, 2020 1

Vega-Lite specification:
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Chart description: In 2015 the most frequently observed attitude was that young people believed that the more the read they better they became at reading, 0.8 children believed this. Very few (0.1) children believed that reading was more for girls than boys.

Chart data: 2015 Attitudes towards reading 0.801 The more I read, the better I become 0.546 If I am a good reader it means that I’ll get a better job when I grow up 0.543 I prefer watching TV to reading 0.424 Reading is cool 0.308 I cannot find things to read that interest me 0.293 I do not read as well as other pupils in my class 0.279 I only read when I have to 0.253 My parents don’t care whether I spend any time reading 0.165 I would be embarrassed if my friends saw me  read 0.101 Reading is more for girls than boys

Vega-Lite specification:
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