delen/vistext huggingface dataset:
Chart description: Liguria had the oldest population of over 65's in 2019.

Chart data: region of Italy 65 years and older Liguria 0.285 Sardinia 0.246 Molise 0.246 Basilicata 0.23 Friuli-Venezia Giulia 0.262 Tuscany 0.254 Piedmont 0.255 Abruzzo 0.238 Umbria 0.256 Marche 0.248 Emilia-Romagna 0.239 Apulia 0.221 Calabria 0.216 Aosta Valley 0.238 Veneto 0.229 Lazio 0.217 Lombardy 0.226 Sicily 0.212 Campania 0.188 Trentino-South Tyrol 0.208

Vega-Lite specification:
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Chart description: Liguria was the area in Italy with the most ober 65s in 2019, with about 28% of its population in tbis age range, wereas campania had the least, with around 19% of its citizens in this age range.

Chart data: region of Italy 65 years and older Liguria 0.285 Sardinia 0.246 Molise 0.246 Basilicata 0.23 Friuli-Venezia Giulia 0.262 Tuscany 0.254 Piedmont 0.255 Abruzzo 0.238 Umbria 0.256 Marche 0.248 Emilia-Romagna 0.239 Apulia 0.221 Calabria 0.216 Aosta Valley 0.238 Veneto 0.229 Lazio 0.217 Lombardy 0.226 Sicily 0.212 Campania 0.188 Trentino-South Tyrol 0.208

Vega-Lite specification:
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Chart description: A large number of methods people have undertaken to prevent Coronavirus infections are presented on this bar chart. The most popular method was to improve personal hygiene, with around 0.7 units. This was followed by avoiding public places at around 0.55 units. The least popular method was to wear a face mask, with around 0.02 units. This was followed by asking doctors for advice, at around 0.04 units.

Chart data: Response Mar 19 to Mar 20 Avoid crowded public places 0.57 Improve personal hygiene (e.g. washing hands more frequently, using hand sanitizer) 0.7 Avoid travelling 0.36 Avoid public transport 0.37 Refrain from touching objects in public 0.41 Avoid contact with people who have/seem to have flu 0.41 Avoid going to work 0.2 Avoid physical contact with tourists 0.21 Avoid consumption of raw or uncooked meat 0.09 Wear a face mask in public places 0.02 No measures taken 0.09 Ask doctor for advice 0.04

Vega-Lite specification:
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Chart description: The most popular measures taken in the past two weeks is improving personal hygiene. The least measures taken is wearing face masks in public. The second most popular measure is avoiding crowded public places. Two equal measures are avoiding contact with people who have the symptoms and refraining from touching objects.

Chart data: Response Mar 19 to Mar 20 Avoid crowded public places 0.57 Improve personal hygiene (e.g. washing hands more frequently, using hand sanitizer) 0.7 Avoid travelling 0.36 Avoid public transport 0.37 Refrain from touching objects in public 0.41 Avoid contact with people who have/seem to have flu 0.41 Avoid going to work 0.2 Avoid physical contact with tourists 0.21 Avoid consumption of raw or uncooked meat 0.09 Wear a face mask in public places 0.02 No measures taken 0.09 Ask doctor for advice 0.04

Vega-Lite specification:
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Chart description: In 1990 coal production in UK peaked at around 20000 metric tons. In 2019 coal production in UK was at its lowest level. 1970 to 1975, 2005 to 2012 was approximately the same level of coal production in UK.

Chart data: Surface mining Year 2067 2019* 2556 2018 3021 2017 4156 2016 5814 2015 7962 2014 8584 2013 10134 2012 10580 2011 10426 2010 10445 2005 13412 2000 16369 1995 19863 1990 18822 1985 17667 1980 11271 1975 10509 1970

Vega-Lite specification:
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Chart description: Since 2011 and until 2019 there has been a decrease each year in coal production from deep and surface mining in the UK.

Chart data: Surface mining Year 2067 2019* 2556 2018 3021 2017 4156 2016 5814 2015 7962 2014 8584 2013 10134 2012 10580 2011 10426 2010 10445 2005 13412 2000 16369 1995 19863 1990 18822 1985 17667 1980 11271 1975 10509 1970

Vega-Lite specification:
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Chart description: Coal production peaked in the 90s, and has been declining ever since.

Chart data: Surface mining Year 2067 2019* 2556 2018 3021 2017 4156 2016 5814 2015 7962 2014 8584 2013 10134 2012 10580 2011 10426 2010 10445 2005 13412 2000 16369 1995 19863 1990 18822 1985 17667 1980 11271 1975 10509 1970

Vega-Lite specification:
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Chart description: not much to tell, there was no much change that happened.

Chart data: Year Services Dec 31, 2008 0.5961 Dec 31, 2009 0.5894 Dec 31, 2010 0.5931 Dec 31, 2011 0.6069 Dec 31, 2012 0.6044 Dec 31, 2013 0.6074 Dec 31, 2014 0.6082 Dec 31, 2015 0.6034 Dec 31, 2016 0.5982 Dec 31, 2017 0.599 Dec 31, 2018 0.6035

Vega-Lite specification:
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Chart description: In Austria, the employment of people in agriculture has decreased from above 0.05 in 2010 to 0.035 in 2019.

Chart data: Year Agriculture Dec 31, 2009 0.0521 Dec 31, 2010 0.0494 Dec 31, 2011 0.0468 Dec 31, 2012 0.0458 Dec 31, 2013 0.0484 Dec 31, 2014 0.0453 Dec 31, 2015 0.0435 Dec 31, 2016 0.0393 Dec 31, 2017 0.0369 Dec 31, 2018 0.0358 Dec 31, 2019 0.0348

Vega-Lite specification:
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Chart description: Overall agriculture employment as a job sector fell between 2010 and 2020. The agriculture sector saw their share of the job market increase in only one year between 2010-2020.

Chart data: Year Agriculture Dec 31, 2009 0.0521 Dec 31, 2010 0.0494 Dec 31, 2011 0.0468 Dec 31, 2012 0.0458 Dec 31, 2013 0.0484 Dec 31, 2014 0.0453 Dec 31, 2015 0.0435 Dec 31, 2016 0.0393 Dec 31, 2017 0.0369 Dec 31, 2018 0.0358 Dec 31, 2019 0.0348

Vega-Lite specification:
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Chart description: The distribution peaked in 2010 then gradually declined year on year until 2018 when it increased, although not as high as it was in 2010. After 2018 the distribution has decreased again year on year.

Chart data: Year Industry Dec 31, 2009 0.2491 Dec 31, 2010 0.2603 Dec 31, 2011 0.2608 Dec 31, 2012 0.2591 Dec 31, 2013 0.2575 Dec 31, 2014 0.2576 Dec 31, 2015 0.2556 Dec 31, 2016 0.2492 Dec 31, 2017 0.2544 Dec 31, 2018 0.2526 Dec 31, 2019 0.2504

Vega-Lite specification:
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Chart description: The distribution of employment increased slightly in 2017. It dipped slightly in 2011. Overall the distribution of employment has been quite level over the period 2010-2020.

Chart data: Year Services Dec 31, 2009 0.6988 Dec 31, 2010 0.6904 Dec 31, 2011 0.6925 Dec 31, 2012 0.6952 Dec 31, 2013 0.6941 Dec 31, 2014 0.6971 Dec 31, 2015 0.7009 Dec 31, 2016 0.7115 Dec 31, 2017 0.7087 Dec 31, 2018 0.7116 Dec 31, 2019 0.7148

Vega-Lite specification:
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Chart description: Overall Walmart's net sales have increased by more than $100 billion over this 12 year period (2008-2020). In 2008, Walmart's net sales were around $240 billion. In 2012, Walmart's net sales were around $260 billion. In 2016, Walmart's net sales were $300 billion.

Chart data: Year Walmart U.S. Dec 31, 2007 238.92 Dec 31, 2008 256.97 Dec 31, 2009 259.92 Dec 31, 2010 260.26 Dec 31, 2011 264.19 Dec 31, 2012 274.43 Dec 31, 2013 279.41 Dec 31, 2014 288.05 Dec 31, 2015 298.38 Dec 31, 2016 307.83 Dec 31, 2017 318.48 Dec 31, 2018 331.67 Dec 31, 2019 341

Vega-Lite specification:
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Chart description: Guatemala's distribution of employment has remained steady above 0.15, with a slight dip between 2012 and 2014, and a peak towards the end of 2016.

Chart data: Year Industry Dec 31, 2009 0.1977 Dec 31, 2010 0.1988 Dec 31, 2011 0.195 Dec 31, 2012 0.1816 Dec 31, 2013 0.1946 Dec 31, 2014 0.189 Dec 31, 2015 0.2101 Dec 31, 2016 0.19 Dec 31, 2017 0.1872 Dec 31, 2018 0.1855 Dec 31, 2019 0.1842

Vega-Lite specification:
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Chart description: In 2016 the distribution of employment was greater than 20%. In 2010 the employment distribution was 20%. In 2014 the employment distribution was just under 20%. In 2020 the employment distribution was just under 20%.

Chart data: Year Industry Dec 31, 2009 0.1977 Dec 31, 2010 0.1988 Dec 31, 2011 0.195 Dec 31, 2012 0.1816 Dec 31, 2013 0.1946 Dec 31, 2014 0.189 Dec 31, 2015 0.2101 Dec 31, 2016 0.19 Dec 31, 2017 0.1872 Dec 31, 2018 0.1855 Dec 31, 2019 0.1842

Vega-Lite specification:
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Chart description: Between the years 2014 and 2020, the level of services shown has remained stable. It experienced significant growth between 2011 and 2013.

Chart data: Year Services Dec 31, 2009 0.4319 Dec 31, 2010 0.4255 Dec 31, 2011 0.4825 Dec 31, 2012 0.5096 Dec 31, 2013 0.4901 Dec 31, 2014 0.4923 Dec 31, 2015 0.4961 Dec 31, 2016 0.4922 Dec 31, 2017 0.4955 Dec 31, 2018 0.4996 Dec 31, 2019 0.5029

Vega-Lite specification:
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Chart description: The services scale for the period shown ranges from just over 0,4 to just over 0,5. The lowest distribution at services was in 2011, while the highest was at 2013, after which it dropped, and then peaked again at 2020. The sharpest annual increase was from 2013 to 2014 followed by the sharpest decrease the year after.

Chart data: Year Services Dec 31, 2009 0.4319 Dec 31, 2010 0.4255 Dec 31, 2011 0.4825 Dec 31, 2012 0.5096 Dec 31, 2013 0.4901 Dec 31, 2014 0.4923 Dec 31, 2015 0.4961 Dec 31, 2016 0.4922 Dec 31, 2017 0.4955 Dec 31, 2018 0.4996 Dec 31, 2019 0.5029

Vega-Lite specification:
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Chart description: Flamengo is the most popular Brazilian soccer club, followed by the Corinthians and São Paulo. The other teams all rank considerably lower in terms of popularity.

Chart data: Combined Soccer clubs 31477.26 Flamengo 23589.12 Corinthians 15301.22 São Paulo 11208.23 Palmeiras 8513.86 Santos 8288.99 Grêmio 7242.01 Vasco 7059.13 Atlético Minas Gerais 7032.84 Cruzeiro 5762.33 Chapecoense

Vega-Lite specification:
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Chart description: the most popular club is Flamengo but closly followed by Corinthians. Sao Paulo was the third most popular team. All of the rest had a similar number of followers with less than 10,000. The top 3 teams had significantly more followers than the rest with the top team having 30,000 followers.

Chart data: Combined Soccer clubs 31477.26 Flamengo 23589.12 Corinthians 15301.22 São Paulo 11208.23 Palmeiras 8513.86 Santos 8288.99 Grêmio 7242.01 Vasco 7059.13 Atlético Minas Gerais 7032.84 Cruzeiro 5762.33 Chapecoense

Vega-Lite specification:
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Chart description: There are two clear Brazilian clubs which are a lot more popular than the other clubs - Corinthians and Flamengo - which have almost double the number of social media followers of the other 8 clubs on the chart. A majority of the clubs have between 2,000 and 4,000 social media followers. The third most popular club is São Paulo.

Chart data: Soccer clubs Facebook Flamengo 12084.68 Corinthians 11265.87 São Paulo 6668.53 Palmeiras 4409.03 Santos 3524.58 Grêmio 3123.8 Vasco 3093.82 Atlético Minas Gerais 3189.19 Cruzeiro 3075.91 Chapecoense 3793.44

Vega-Lite specification:
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Chart description: flamengo has the highest number of social media followers on twitter with a total just below 7000.

Chart data: Soccer clubs Twitter Flamengo 6671.44 Corinthians 6080.52 São Paulo 4321.19 Palmeiras 3119.13 Santos 2830.82 Grêmio 2777.16 Vasco 2313.92 Atlético Minas Gerais 2111.61 Cruzeiro 2143.57 Chapecoense 617.98

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/1147.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#333333"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Soccer clubs"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Twitter"}, "field": "Twitter"}}, "title": ["Most popular Brazilian soccer clubs as of", "June 2020 , by number of social media followers", "(in 1,000s)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Flamengo has the highest amount of social media followers (around 340k YouTube subscribers) and Chapecoence has the lowest amount of social media followers (lower than 1k YouTube subscribers).

Chart data: Soccer clubs YouTube Flamengo 3380 Corinthians 1170 São Paulo 1250 Palmeiras 1330 Santos 891 Grêmio 626 Vasco 517 Atlético Minas Gerais 247 Cruzeiro 266 Chapecoense 29.3

Vega-Lite specification:
{"config": {"background": "#f9f9f9", "area": {"fill": "#ab5787"}, "line": {"stroke": "#ab5787"}, "rect": {"fill": "#ab5787"}, "bar": {"fill": "#ab5787"}, "point": {"fill": "#ab5787", "size": 30}, "axis": {"domainColor": "#979797", "domainWidth": 0.5, "gridWidth": 0.2, "labelColor": "#979797", "tickColor": "#979797", "tickWidth": 0.2, "titleColor": "#979797"}, "axisBand": {"grid": false}, "axisX": {"grid": true, "tickSize": 10}, "axisY": {"domain": false, "grid": true, "tickSize": 0}, "legend": {"labelFontSize": 11, "padding": 1, "symbolSize": 30, "symbolType": "square"}, "range": {"category": ["#ab5787", "#51b2e5", "#703c5c", "#168dd9", "#d190b6", "#00609f", "#d365ba", "#154866", "#666666", "#c4c4c4"]}}, "data": {"url": "multiColumn/data/1147.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#00609f"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Soccer clubs"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "YouTube"}, "field": "YouTube"}}, "title": ["Most popular Brazilian soccer clubs as of", "June 2020 , by number of social media followers", "(in 1,000s)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: This chart does not show trends.  It shows the most popular club in June, which was Flamengo, almost 5 times as popular as the next club.

Chart data: Soccer clubs TikTok Flamengo 1000 Corinthians 270 São Paulo 149 Palmeiras 0 Santos 35 Grêmio 7.93 Vasco 77.6 Atlético Minas Gerais 10.3 Cruzeiro 101.8 Chapecoense 12.9

Vega-Lite specification:
{"config": {"background": "#666", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#fbb4ae", "#b3cde3", "#ccebc5", "#decbe4", "#fed9a6", "#ffffcc", "#e5d8bd", "#fddaec", "#f2f2f2", "#b3e2cd", "#fdcdac", "#cbd5e8", "#f4cae4", "#e6f5c9", "#fff2ae", "#f1e2cc", "#cccccc"]}}, "data": {"url": "multiColumn/data/1147.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#b3cde3"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Soccer clubs"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "TikTok"}, "field": "TikTok"}}, "title": ["Most popular Brazilian soccer clubs as of", "June 2020 , by number of social media followers", "(in 1,000s)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The club Flamengo dominates the number of social media followers by an enormous amount, almost five times the amount of its nearest rival. Only one other club, Corinthians, breaks the 200 followers threshold. All other clubs are well below 200 followers. One club, Palmeiras, has not got any followers at all.

Chart data: Soccer clubs TikTok Flamengo 1000 Corinthians 270 São Paulo 149 Palmeiras 0 Santos 35 Grêmio 7.93 Vasco 77.6 Atlético Minas Gerais 10.3 Cruzeiro 101.8 Chapecoense 12.9

Vega-Lite specification:
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Chart description: As the value of the x-axis increases, the value of the y-axis decreases. The value of the y-axis decreases more rapidly as the value of the y-axis increases.

Chart data: Year 0-14 years Dec 31, 2008 0.4925 Dec 31, 2009 0.4909 Dec 31, 2010 0.4893 Dec 31, 2011 0.4873 Dec 31, 2012 0.4851 Dec 31, 2013 0.4826 Dec 31, 2014 0.4799 Dec 31, 2015 0.4767 Dec 31, 2016 0.4732 Dec 31, 2017 0.4693 Dec 31, 2018 0.465

Vega-Lite specification:
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Chart description: Based on the graph it appears that age has gone up as the years progress.

Chart data: Year 65 years and older Dec 31, 2008 0.0189 Dec 31, 2009 0.0187 Dec 31, 2010 0.0187 Dec 31, 2011 0.0188 Dec 31, 2012 0.0188 Dec 31, 2013 0.0188 Dec 31, 2014 0.0188 Dec 31, 2015 0.019 Dec 31, 2016 0.0192 Dec 31, 2017 0.0194 Dec 31, 2018 0.0196

Vega-Lite specification:
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Chart description: Generally, the revenue from matchday for Bayern Munich is around 80-100 million dollars. The revenue from matchday for Bayern Munich is more in the 2018/2019 season than the 2008/09 season.

Chart data: Season Matchday 2018/19 92.4 2017/18 103.8 2016/17 87.7 2015/16 101.8 2014/15 89.8 2013/14 88 2012/13 87.1 2011/12 85.4 2010/11 71.9 2009/10 66.7 2008/09 60.6

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/1158.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#3e5c69"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Season"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Matchday"}, "field": "Matchday"}}, "title": ["Bayern Munich revenue by stream from 2008/09", "to 2018/19 (in million euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The year 2008/09 was the lowest year for stream revenue. Revenue stream steadily increased year on year for seven years. The increase in streaming revenue in the 2nd to 4th year was from around 65 million Euros to around 85 million Euros then held steady for 4 years. There was another spike in revenue in 2015/16 - the 8th year of around 20-25 million Euros. Revenue stream did decrease in the eighth year by around 20% but recovered to its previous income in the 9th year. Stream revenue has once again begun to fall in the last year on record, 2018/19.

Chart data: Season Matchday 2018/19 92.4 2017/18 103.8 2016/17 87.7 2015/16 101.8 2014/15 89.8 2013/14 88 2012/13 87.1 2011/12 85.4 2010/11 71.9 2009/10 66.7 2008/09 60.6

Vega-Lite specification:
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Chart description: Bayern Munich revenue scale has reached a record high in 2018/19, since data began in 2008/09.

Chart data: Season Broadcasting 2018/19 211.2 2017/18 176.7 2016/17 146.7 2015/16 147.6 2014/15 106.1 2013/14 107.7 2012/13 107 2011/12 81.4 2010/11 71.8 2009/10 83.4 2008/09 69.6

Vega-Lite specification:
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