delen/vistext huggingface dataset:
Chart description: There is literally no difference through the years as depicted on the graph. I’m not sure what you can read from This data.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.4304 Dec 31, 2009 0.4302 Dec 31, 2010 0.43 Dec 31, 2011 0.4295 Dec 31, 2012 0.4289 Dec 31, 2013 0.4284 Dec 31, 2014 0.4279 Dec 31, 2015 0.4273 Dec 31, 2016 0.4271 Dec 31, 2017 0.427 Dec 31, 2018 0.4273

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#4572a7"}, "line": {"stroke": "#4572a7", "strokeWidth": 2}, "rect": {"fill": "#4572a7"}, "bar": {"fill": "#4572a7"}, "point": {"color": "#4572a7", "strokeWidth": 1.5, "size": 50}, "axis": {"bandPosition": 0.5, "grid": true, "gridColor": "#000000", "gridOpacity": 1, "gridWidth": 0.5, "labelPadding": 10, "tickSize": 5, "tickWidth": 0.5}, "axisBand": {"grid": false, "tickExtra": true}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 50, "symbolType": "square"}, "range": {"category": ["#4572a7", "#aa4643", "#8aa453", "#71598e", "#4598ae", "#d98445", "#94aace", "#d09393", "#b9cc98", "#a99cbc"]}}, "data": {"url": "data/4073.tsv"}, "mark": "line", "encoding": {"color": {"value": "#d09393"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Share of urban population in total population"}, "field": "Share of urban population in total population"}}, "title": ["Egypt : Urbanization from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Hugo boss shops where most popular in 2017then they declined slightly.

Chart data: Year Number of stores Dec 31, 2008 438 Dec 31, 2009 537 Dec 31, 2010 622 Dec 31, 2011 840 Dec 31, 2012 1010 Dec 31, 2013 1041 Dec 31, 2014 1113 Dec 31, 2015 1124 Dec 31, 2016 1139 Dec 31, 2017 1092 Dec 31, 2018 1113

Vega-Lite specification:
{"config": {"area": {"fill": "#30a2da"}, "axis": {"domainColor": "#cbcbcb", "grid": true, "gridColor": "#cbcbcb", "gridWidth": 1, "labelColor": "#999", "labelFontSize": 10, "titleColor": "#333", "tickColor": "#cbcbcb", "tickSize": 10, "titleFontSize": 14, "titlePadding": 10, "labelPadding": 4}, "axisBand": {"grid": false}, "background": "#f0f0f0", "view": {"fill": "#f0f0f0"}, "legend": {"labelColor": "#333", "labelFontSize": 11, "padding": 1, "symbolSize": 30, "symbolType": "square", "titleColor": "#333", "titleFontSize": 14, "titlePadding": 10}, "line": {"stroke": "#30a2da", "strokeWidth": 2}, "rect": {"fill": "#30a2da"}, "bar": {"binSpacing": 2, "fill": "#30a2da", "stroke": null}, "range": {"category": ["#30a2da", "#fc4f30", "#e5ae38", "#6d904f", "#8b8b8b", "#b96db8", "#ff9e27", "#56cc60", "#52d2ca", "#52689e", "#545454", "#9fe4f8"], "diverging": ["#cc0020", "#e77866", "#f6e7e1", "#d6e8ed", "#91bfd9", "#1d78b5"], "heatmap": ["#d6e8ed", "#cee0e5", "#91bfd9", "#549cc6", "#1d78b5"]}, "point": {"filled": true, "shape": "circle"}, "title": {"anchor": "start", "fontSize": 24, "fontWeight": 600, "offset": 20}}, "data": {"url": "data/4076.tsv"}, "mark": "line", "encoding": {"color": {"value": "#545454"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of stores"}, "field": "Number of stores"}}, "title": ["Total number of Hugo Boss stores worldwide", "from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: From the period 2006 to 2014, there is a very linear decrease in homicide by firearm rate in the US, except for a small spike in 2012. After 2014, this increases at over double the rate of the original decline, until a peak in 2017. After this, the rate starts to decrease again slowly.

Chart data: Year Rate per 100,000 popuplation Dec 31, 2005 3.42 Dec 31, 2006 3.36 Dec 31, 2007 3.13 Dec 31, 2008 3 Dec 31, 2009 2.87 Dec 31, 2010 2.78 Dec 31, 2011 2.82 Dec 31, 2012 2.67 Dec 31, 2013 2.45 Dec 31, 2014 2.85 Dec 31, 2015 3.22 Dec 31, 2016 3.39 Dec 31, 2017 3.2 Dec 31, 2018 3.13

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": "data/4079.tsv"}, "mark": "line", "encoding": {"color": {"value": "#cccccc"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Rate per 100,000 popuplation"}, "field": "Rate per 100,000 popuplation"}}, "title": ["Homicide by firearm rate per 100,000 population", "in the United States from 2006 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a significant drop in homicides by firearms between 2006 and 2014.  A significant rise of appoximately 100,000 people from 2014 and 2017.  Over the course of 10 years, 2006 to 2016, the number of homicides trended back to the same amount by the end of each year.

Chart data: Year Rate per 100,000 popuplation Dec 31, 2005 3.42 Dec 31, 2006 3.36 Dec 31, 2007 3.13 Dec 31, 2008 3 Dec 31, 2009 2.87 Dec 31, 2010 2.78 Dec 31, 2011 2.82 Dec 31, 2012 2.67 Dec 31, 2013 2.45 Dec 31, 2014 2.85 Dec 31, 2015 3.22 Dec 31, 2016 3.39 Dec 31, 2017 3.2 Dec 31, 2018 3.13

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": "data/4079.tsv"}, "mark": "line", "encoding": {"color": {"value": "#cccccc"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Rate per 100,000 popuplation"}, "field": "Rate per 100,000 popuplation"}}, "title": ["Homicide by firearm rate per 100,000 population", "in the United States from 2006 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Over a 12 year period cart abandonment has remained largely the same except for a 4 year spike.

Chart data: Year Shopping cart abandonment rate Dec 31, 2005 0.598 Dec 31, 2006 0.6136 Dec 31, 2007 0.6201 Dec 31, 2008 0.6608 Dec 31, 2009 0.6476 Dec 31, 2010 0.6887 Dec 31, 2011 0.7198 Dec 31, 2012 0.7116 Dec 31, 2013 0.6807 Dec 31, 2014 0.6853 Dec 31, 2015 0.6863 Dec 31, 2016 0.6923 Dec 31, 2018 0.6957

Vega-Lite specification:
{"config": {"range": {"category": ["#393b79", "#5254a3", "#6b6ecf", "#9c9ede", "#637939", "#8ca252", "#b5cf6b", "#cedb9c", "#8c6d31", "#bd9e39", "#e7ba52", "#e7cb94", "#843c39", "#ad494a", "#d6616b", "#e7969c", "#7b4173", "#a55194", "#ce6dbd", "#de9ed6"]}}, "data": {"url": "data/4083.tsv"}, "mark": "area", "encoding": {"color": {"value": "#393b79"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Shopping cart abandonment rate"}, "field": "Shopping cart abandonment rate"}}, "title": ["Online shopping cart abandonment rate worldwide", "from 2006 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The diagram clearly represents that NFL NBA and MLB  are the top three highest earning players, with NFL earning around 5.5 billion, NBA earning around 3.7 billion, and MLB around 3.5 billion. The chart also represents that the drastic earnings difference between the highest earning player, NFL earning 5.5 billion and the lower earning player CFL earning just a fraction of a billion, which means it is over 5 times lower.

Chart data: Total player salaries in billion U.S. dollars professional sports league 5.52 NFL 3.66 NBA 3.45 MLB 2.07 NHL 1.97 EPL 1.25 La Liga 1.22 Serie A 0.98 Bundesliga 0.72 Ligue 1 0.59 CSL 0.32 NPB 0.29 MLS 0.18 AFL 0.17 J-League 0.09 IPL 0.08 SPFL 0.04 CFL

Vega-Lite specification:
{"config": {"area": {"fill": "#30a2da"}, "axis": {"domainColor": "#cbcbcb", "grid": true, "gridColor": "#cbcbcb", "gridWidth": 1, "labelColor": "#999", "labelFontSize": 10, "titleColor": "#333", "tickColor": "#cbcbcb", "tickSize": 10, "titleFontSize": 14, "titlePadding": 10, "labelPadding": 4}, "axisBand": {"grid": false}, "background": "#f0f0f0", "view": {"fill": "#f0f0f0"}, "legend": {"labelColor": "#333", "labelFontSize": 11, "padding": 1, "symbolSize": 30, "symbolType": "square", "titleColor": "#333", "titleFontSize": 14, "titlePadding": 10}, "line": {"stroke": "#30a2da", "strokeWidth": 2}, "rect": {"fill": "#30a2da"}, "bar": {"binSpacing": 2, "fill": "#30a2da", "stroke": null}, "range": {"category": ["#30a2da", "#fc4f30", "#e5ae38", "#6d904f", "#8b8b8b", "#b96db8", "#ff9e27", "#56cc60", "#52d2ca", "#52689e", "#545454", "#9fe4f8"], "diverging": ["#cc0020", "#e77866", "#f6e7e1", "#d6e8ed", "#91bfd9", "#1d78b5"], "heatmap": ["#d6e8ed", "#cee0e5", "#91bfd9", "#549cc6", "#1d78b5"]}, "point": {"filled": true, "shape": "circle"}, "title": {"anchor": "start", "fontSize": 24, "fontWeight": 600, "offset": 20}}, "data": {"url": "data/4088.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#8b8b8b"}, "x": {"type": "quantitative", "axis": {"title": "Total player salaries in billion U.S. dollars"}, "field": "Total player salaries in billion U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "professional sports league"}}, "title": ["Total annual player salaries in the sports", "industry in 2019/20 , by league (in billion", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In the bar chat Portugal has the most amount of foreigners and Netherlands have the least amount.

Chart data: Country Number of foreigners in thousands Total foreigners 296.5 Portugal 95.1 France 47.8 Italy 23 Belgium 19.8 Germany 12.8 Britain 5.3 Netherlands 4.2 Other EU** 39.9 Other 48.6

Vega-Lite specification:
{"config": {"background": "#FFFFFF", "title": {"anchor": "start", "fontSize": 18, "font": "Lato"}, "axisX": {"domain": true, "domainColor": "#000000", "domainWidth": 1, "grid": false, "labelFontSize": 12, "labelFont": "Lato", "tickColor": "#000000", "tickSize": 5, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato"}, "axisY": {"domain": false, "domainWidth": 1, "grid": true, "gridColor": "#DEDDDD", "gridWidth": 1, "labelFontSize": 12, "labelFont": "Lato", "labelPadding": 8, "ticks": false, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato", "titleAngle": 0, "titleY": -10, "titleX": 18}, "legend": {"labelFontSize": 12, "labelFont": "Lato", "symbolSize": 100, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato", "orient": "right", "offset": 10}, "view": {"stroke": "transparent"}, "range": {"category": ["#1696d2", "#ec008b", "#fdbf11", "#000000", "#d2d2d2", "#55b748"], "diverging": ["#ca5800", "#fdbf11", "#fdd870", "#fff2cf", "#cfe8f3", "#73bfe2", "#1696d2", "#0a4c6a"], "heatmap": ["#ca5800", "#fdbf11", "#fdd870", "#fff2cf", "#cfe8f3", "#73bfe2", "#1696d2", "#0a4c6a"], "ordinal": ["#cfe8f3", "#a2d4ec", "#73bfe2", "#46abdb", "#1696d2", "#12719e"], "ramp": ["#CFE8F3", "#A2D4EC", "#73BFE2", "#46ABDB", "#1696D2", "#12719E", "#0A4C6A", "#062635"]}, "area": {"fill": "#1696d2"}, "rect": {"fill": "#1696d2"}, "line": {"color": "#1696d2", "stroke": "#1696d2", "strokeWidth": 5}, "trail": {"color": "#1696d2", "stroke": "#1696d2", "strokeWidth": 0, "size": 1}, "point": {"color": "#1696d2", "size": 30}, "text": {"font": "Lato", "color": "#1696d2", "fontSize": 11, "align": "center", "fontWeight": 400, "size": 11}, "style": {"bar": {"fill": "#1696d2", "stroke": null}}}, "data": {"url": "data/4092.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Number of foreigners in thousands"}, "field": "Number of foreigners in thousands"}}, "title": ["Number of foreigners in Luxembourg in 2020", ", by nationality (in 1,000s)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The country which has the most foreigners in Luxembourg in 2020 is Portal. The country with the fewest is the Netherlands.

Chart data: Country Number of foreigners in thousands Total foreigners 296.5 Portugal 95.1 France 47.8 Italy 23 Belgium 19.8 Germany 12.8 Britain 5.3 Netherlands 4.2 Other EU** 39.9 Other 48.6

Vega-Lite specification:
{"config": {"background": "#FFFFFF", "title": {"anchor": "start", "fontSize": 18, "font": "Lato"}, "axisX": {"domain": true, "domainColor": "#000000", "domainWidth": 1, "grid": false, "labelFontSize": 12, "labelFont": "Lato", "tickColor": "#000000", "tickSize": 5, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato"}, "axisY": {"domain": false, "domainWidth": 1, "grid": true, "gridColor": "#DEDDDD", "gridWidth": 1, "labelFontSize": 12, "labelFont": "Lato", "labelPadding": 8, "ticks": false, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato", "titleAngle": 0, "titleY": -10, "titleX": 18}, "legend": {"labelFontSize": 12, "labelFont": "Lato", "symbolSize": 100, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato", "orient": "right", "offset": 10}, "view": {"stroke": "transparent"}, "range": {"category": ["#1696d2", "#ec008b", "#fdbf11", "#000000", "#d2d2d2", "#55b748"], "diverging": ["#ca5800", "#fdbf11", "#fdd870", "#fff2cf", "#cfe8f3", "#73bfe2", "#1696d2", "#0a4c6a"], "heatmap": ["#ca5800", "#fdbf11", "#fdd870", "#fff2cf", "#cfe8f3", "#73bfe2", "#1696d2", "#0a4c6a"], "ordinal": ["#cfe8f3", "#a2d4ec", "#73bfe2", "#46abdb", "#1696d2", "#12719e"], "ramp": ["#CFE8F3", "#A2D4EC", "#73BFE2", "#46ABDB", "#1696D2", "#12719E", "#0A4C6A", "#062635"]}, "area": {"fill": "#1696d2"}, "rect": {"fill": "#1696d2"}, "line": {"color": "#1696d2", "stroke": "#1696d2", "strokeWidth": 5}, "trail": {"color": "#1696d2", "stroke": "#1696d2", "strokeWidth": 0, "size": 1}, "point": {"color": "#1696d2", "size": 30}, "text": {"font": "Lato", "color": "#1696d2", "fontSize": 11, "align": "center", "fontWeight": 400, "size": 11}, "style": {"bar": {"fill": "#1696d2", "stroke": null}}}, "data": {"url": "data/4092.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Number of foreigners in thousands"}, "field": "Number of foreigners in thousands"}}, "title": ["Number of foreigners in Luxembourg in 2020", ", by nationality (in 1,000s)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The highest ethic group to be registered as foreigners in Luxembourg in 2020 was Portugal with almost 100,000. Portugal is the only country on the graph to exceed 50,00 foreigners in Luxembourg in 2020. Britain and the Netherlands both had the smallest amount of foreigners present in Luxembourg in 2020. Portugal makes up almost a third of all foreigners found in Luxembourg in 2020.

Chart data: Country Number of foreigners in thousands Total foreigners 296.5 Portugal 95.1 France 47.8 Italy 23 Belgium 19.8 Germany 12.8 Britain 5.3 Netherlands 4.2 Other EU** 39.9 Other 48.6

Vega-Lite specification:
{"config": {"background": "#FFFFFF", "title": {"anchor": "start", "fontSize": 18, "font": "Lato"}, "axisX": {"domain": true, "domainColor": "#000000", "domainWidth": 1, "grid": false, "labelFontSize": 12, "labelFont": "Lato", "tickColor": "#000000", "tickSize": 5, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato"}, "axisY": {"domain": false, "domainWidth": 1, "grid": true, "gridColor": "#DEDDDD", "gridWidth": 1, "labelFontSize": 12, "labelFont": "Lato", "labelPadding": 8, "ticks": false, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato", "titleAngle": 0, "titleY": -10, "titleX": 18}, "legend": {"labelFontSize": 12, "labelFont": "Lato", "symbolSize": 100, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato", "orient": "right", "offset": 10}, "view": {"stroke": "transparent"}, "range": {"category": ["#1696d2", "#ec008b", "#fdbf11", "#000000", "#d2d2d2", "#55b748"], "diverging": ["#ca5800", "#fdbf11", "#fdd870", "#fff2cf", "#cfe8f3", "#73bfe2", "#1696d2", "#0a4c6a"], "heatmap": ["#ca5800", "#fdbf11", "#fdd870", "#fff2cf", "#cfe8f3", "#73bfe2", "#1696d2", "#0a4c6a"], "ordinal": ["#cfe8f3", "#a2d4ec", "#73bfe2", "#46abdb", "#1696d2", "#12719e"], "ramp": ["#CFE8F3", "#A2D4EC", "#73BFE2", "#46ABDB", "#1696D2", "#12719E", "#0A4C6A", "#062635"]}, "area": {"fill": "#1696d2"}, "rect": {"fill": "#1696d2"}, "line": {"color": "#1696d2", "stroke": "#1696d2", "strokeWidth": 5}, "trail": {"color": "#1696d2", "stroke": "#1696d2", "strokeWidth": 0, "size": 1}, "point": {"color": "#1696d2", "size": 30}, "text": {"font": "Lato", "color": "#1696d2", "fontSize": 11, "align": "center", "fontWeight": 400, "size": 11}, "style": {"bar": {"fill": "#1696d2", "stroke": null}}}, "data": {"url": "data/4092.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Number of foreigners in thousands"}, "field": "Number of foreigners in thousands"}}, "title": ["Number of foreigners in Luxembourg in 2020", ", by nationality (in 1,000s)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The revenue has increased over the chart period. The increase has not been steady but has gone up and down. Revenue had tripled from 2001 to 2019.

Chart data: Year Revenue in million U.S. dollars Dec 31, 2000 108 Dec 31, 2001 98 Dec 31, 2002 102 Dec 31, 2003 112 Dec 31, 2004 131 Dec 31, 2005 144 Dec 31, 2006 158 Dec 31, 2007 173 Dec 31, 2008 171 Dec 31, 2009 179 Dec 31, 2010 195 Dec 31, 2011 201 Dec 31, 2012 197 Dec 31, 2013 226 Dec 31, 2014 234 Dec 31, 2015 239 Dec 31, 2016 255 Dec 31, 2017 288 Dec 31, 2018 295

Vega-Lite specification:
{"config": {"range": {"category": ["#4c78a8", "#9ecae9", "#f58518", "#ffbf79", "#54a24b", "#88d27a", "#b79a20", "#f2cf5b", "#439894", "#83bcb6", "#e45756", "#ff9d98", "#79706e", "#bab0ac", "#d67195", "#fcbfd2", "#b279a2", "#d6a5c9", "#9e765f", "#d8b5a5"]}}, "data": {"url": "data/4095.tsv"}, "mark": "area", "encoding": {"color": {"value": "#b279a2"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Revenue in million U.S. dollars"}, "field": "Revenue in million U\\.S\\. dollars"}}, "title": ["Revenue of the Milwaukee Brewers (MLB) from", "2001 to 2019 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The revenue was the highest at 390 in 2019. 2001 had the lowest revenue at 100milliom.

Chart data: Year Revenue in million U.S. dollars Dec 31, 2000 108 Dec 31, 2001 98 Dec 31, 2002 102 Dec 31, 2003 112 Dec 31, 2004 131 Dec 31, 2005 144 Dec 31, 2006 158 Dec 31, 2007 173 Dec 31, 2008 171 Dec 31, 2009 179 Dec 31, 2010 195 Dec 31, 2011 201 Dec 31, 2012 197 Dec 31, 2013 226 Dec 31, 2014 234 Dec 31, 2015 239 Dec 31, 2016 255 Dec 31, 2017 288 Dec 31, 2018 295

Vega-Lite specification:
{"config": {"range": {"category": ["#4c78a8", "#9ecae9", "#f58518", "#ffbf79", "#54a24b", "#88d27a", "#b79a20", "#f2cf5b", "#439894", "#83bcb6", "#e45756", "#ff9d98", "#79706e", "#bab0ac", "#d67195", "#fcbfd2", "#b279a2", "#d6a5c9", "#9e765f", "#d8b5a5"]}}, "data": {"url": "data/4095.tsv"}, "mark": "area", "encoding": {"color": {"value": "#b279a2"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Revenue in million U.S. dollars"}, "field": "Revenue in million U\\.S\\. dollars"}}, "title": ["Revenue of the Milwaukee Brewers (MLB) from", "2001 to 2019 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The value of Oakland Athletics has grown rapidly over the last 18 years, especially since 2016. Growth in value was slow in the first 3 years up to 2015, before increasing in growth speed to 2008. Value plateaued in 2010 through to 2012, with limited change in the value. After 2012 value increased rapidly, with a brief plateau in 2015 to 2016.

Chart data: Year Franchise value in million U.S. dollars Dec 31, 2001 157 Dec 31, 2002 172 Dec 31, 2003 186 Dec 31, 2004 185 Dec 31, 2005 234 Dec 31, 2006 292 Dec 31, 2007 323 Dec 31, 2008 319 Dec 31, 2009 295 Dec 31, 2010 307 Dec 31, 2011 321 Dec 31, 2012 468 Dec 31, 2013 495 Dec 31, 2014 725 Dec 31, 2015 725 Dec 31, 2016 880 Dec 31, 2017 1020 Dec 31, 2018 1100 Dec 31, 2019 1100

Vega-Lite specification:
{"config": {"area": {"fill": "#30a2da"}, "axis": {"domainColor": "#cbcbcb", "grid": true, "gridColor": "#cbcbcb", "gridWidth": 1, "labelColor": "#999", "labelFontSize": 10, "titleColor": "#333", "tickColor": "#cbcbcb", "tickSize": 10, "titleFontSize": 14, "titlePadding": 10, "labelPadding": 4}, "axisBand": {"grid": false}, "background": "#f0f0f0", "view": {"fill": "#f0f0f0"}, "legend": {"labelColor": "#333", "labelFontSize": 11, "padding": 1, "symbolSize": 30, "symbolType": "square", "titleColor": "#333", "titleFontSize": 14, "titlePadding": 10}, "line": {"stroke": "#30a2da", "strokeWidth": 2}, "rect": {"fill": "#30a2da"}, "bar": {"binSpacing": 2, "fill": "#30a2da", "stroke": null}, "range": {"category": ["#30a2da", "#fc4f30", "#e5ae38", "#6d904f", "#8b8b8b", "#b96db8", "#ff9e27", "#56cc60", "#52d2ca", "#52689e", "#545454", "#9fe4f8"], "diverging": ["#cc0020", "#e77866", "#f6e7e1", "#d6e8ed", "#91bfd9", "#1d78b5"], "heatmap": ["#d6e8ed", "#cee0e5", "#91bfd9", "#549cc6", "#1d78b5"]}, "point": {"filled": true, "shape": "circle"}, "title": {"anchor": "start", "fontSize": 24, "fontWeight": 600, "offset": 20}}, "data": {"url": "data/4100.tsv"}, "mark": "area", "encoding": {"color": {"value": "#52d2ca"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Franchise value in million U.S. dollars"}, "field": "Franchise value in million U\\.S\\. dollars"}}, "title": ["Oakland Athletics franchise value from 2002", "to 2020 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The value of the Oaklands athletic franchise has increased year on year, going from under 200 million dollars in 2005 to over a thousand million dollars.

Chart data: Year Franchise value in million U.S. dollars Dec 31, 2001 157 Dec 31, 2002 172 Dec 31, 2003 186 Dec 31, 2004 185 Dec 31, 2005 234 Dec 31, 2006 292 Dec 31, 2007 323 Dec 31, 2008 319 Dec 31, 2009 295 Dec 31, 2010 307 Dec 31, 2011 321 Dec 31, 2012 468 Dec 31, 2013 495 Dec 31, 2014 725 Dec 31, 2015 725 Dec 31, 2016 880 Dec 31, 2017 1020 Dec 31, 2018 1100 Dec 31, 2019 1100

Vega-Lite specification:
{"config": {"area": {"fill": "#30a2da"}, "axis": {"domainColor": "#cbcbcb", "grid": true, "gridColor": "#cbcbcb", "gridWidth": 1, "labelColor": "#999", "labelFontSize": 10, "titleColor": "#333", "tickColor": "#cbcbcb", "tickSize": 10, "titleFontSize": 14, "titlePadding": 10, "labelPadding": 4}, "axisBand": {"grid": false}, "background": "#f0f0f0", "view": {"fill": "#f0f0f0"}, "legend": {"labelColor": "#333", "labelFontSize": 11, "padding": 1, "symbolSize": 30, "symbolType": "square", "titleColor": "#333", "titleFontSize": 14, "titlePadding": 10}, "line": {"stroke": "#30a2da", "strokeWidth": 2}, "rect": {"fill": "#30a2da"}, "bar": {"binSpacing": 2, "fill": "#30a2da", "stroke": null}, "range": {"category": ["#30a2da", "#fc4f30", "#e5ae38", "#6d904f", "#8b8b8b", "#b96db8", "#ff9e27", "#56cc60", "#52d2ca", "#52689e", "#545454", "#9fe4f8"], "diverging": ["#cc0020", "#e77866", "#f6e7e1", "#d6e8ed", "#91bfd9", "#1d78b5"], "heatmap": ["#d6e8ed", "#cee0e5", "#91bfd9", "#549cc6", "#1d78b5"]}, "point": {"filled": true, "shape": "circle"}, "title": {"anchor": "start", "fontSize": 24, "fontWeight": 600, "offset": 20}}, "data": {"url": "data/4100.tsv"}, "mark": "area", "encoding": {"color": {"value": "#52d2ca"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Franchise value in million U.S. dollars"}, "field": "Franchise value in million U\\.S\\. dollars"}}, "title": ["Oakland Athletics franchise value from 2002", "to 2020 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph shows that the Oakland Athletics Franchise has increased in value from just under $200 million  in 2002 to in excess of $1,000 million in 2020. It had fairly linear growth from 2002 to 2013 and then accelerated to 2020.

Chart data: Year Franchise value in million U.S. dollars Dec 31, 2001 157 Dec 31, 2002 172 Dec 31, 2003 186 Dec 31, 2004 185 Dec 31, 2005 234 Dec 31, 2006 292 Dec 31, 2007 323 Dec 31, 2008 319 Dec 31, 2009 295 Dec 31, 2010 307 Dec 31, 2011 321 Dec 31, 2012 468 Dec 31, 2013 495 Dec 31, 2014 725 Dec 31, 2015 725 Dec 31, 2016 880 Dec 31, 2017 1020 Dec 31, 2018 1100 Dec 31, 2019 1100

Vega-Lite specification:
{"config": {"area": {"fill": "#30a2da"}, "axis": {"domainColor": "#cbcbcb", "grid": true, "gridColor": "#cbcbcb", "gridWidth": 1, "labelColor": "#999", "labelFontSize": 10, "titleColor": "#333", "tickColor": "#cbcbcb", "tickSize": 10, "titleFontSize": 14, "titlePadding": 10, "labelPadding": 4}, "axisBand": {"grid": false}, "background": "#f0f0f0", "view": {"fill": "#f0f0f0"}, "legend": {"labelColor": "#333", "labelFontSize": 11, "padding": 1, "symbolSize": 30, "symbolType": "square", "titleColor": "#333", "titleFontSize": 14, "titlePadding": 10}, "line": {"stroke": "#30a2da", "strokeWidth": 2}, "rect": {"fill": "#30a2da"}, "bar": {"binSpacing": 2, "fill": "#30a2da", "stroke": null}, "range": {"category": ["#30a2da", "#fc4f30", "#e5ae38", "#6d904f", "#8b8b8b", "#b96db8", "#ff9e27", "#56cc60", "#52d2ca", "#52689e", "#545454", "#9fe4f8"], "diverging": ["#cc0020", "#e77866", "#f6e7e1", "#d6e8ed", "#91bfd9", "#1d78b5"], "heatmap": ["#d6e8ed", "#cee0e5", "#91bfd9", "#549cc6", "#1d78b5"]}, "point": {"filled": true, "shape": "circle"}, "title": {"anchor": "start", "fontSize": 24, "fontWeight": 600, "offset": 20}}, "data": {"url": "data/4100.tsv"}, "mark": "area", "encoding": {"color": {"value": "#52d2ca"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Franchise value in million U.S. dollars"}, "field": "Franchise value in million U\\.S\\. dollars"}}, "title": ["Oakland Athletics franchise value from 2002", "to 2020 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The Revenue of the Cleveland browns has been increasing exponentially between the years 2001-2019. It has nearly tripled in 18 years, starting at $160m/year and reaching $440m/year in 2019.

Chart data: Year Revenue in million U.S. dollars Dec 31, 2000 158 Dec 31, 2001 174 Dec 31, 2002 183 Dec 31, 2003 203 Dec 31, 2004 206 Dec 31, 2005 206 Dec 31, 2006 220 Dec 31, 2007 235 Dec 31, 2008 242 Dec 31, 2009 247 Dec 31, 2010 258 Dec 31, 2011 264 Dec 31, 2012 276 Dec 31, 2013 313 Dec 31, 2014 347 Dec 31, 2015 365 Dec 31, 2016 375 Dec 31, 2017 399 Dec 31, 2018 431

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": "data/4104.tsv"}, "mark": "area", "encoding": {"color": {"value": "#f2f2f2"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Revenue in million U.S. dollars"}, "field": "Revenue in million U\\.S\\. dollars"}}, "title": ["Cleveland Browns revenue from 2001 to 2019", "(in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: A rise in expenditure from 2005, which remains stable at a rate of approximately 2,500 between  2007 and 2015. The expenditure then rises above 3,000 continuously between 2015 and 2019.

Chart data: Year Expenditure in million GBP Dec 31, 2004 2023 Dec 31, 2005 2427 Dec 31, 2006 2675 Dec 31, 2007 2601 Dec 31, 2008 2627 Dec 31, 2009 2435 Dec 31, 2010 2497 Dec 31, 2011 2580 Dec 31, 2012 2800 Dec 31, 2013 2741 Dec 31, 2014 2857 Dec 31, 2015 3385 Dec 31, 2016 3550 Dec 31, 2017 4625 Dec 31, 2018 4829

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#4572a7"}, "line": {"stroke": "#4572a7", "strokeWidth": 2}, "rect": {"fill": "#4572a7"}, "bar": {"fill": "#4572a7"}, "point": {"color": "#4572a7", "strokeWidth": 1.5, "size": 50}, "axis": {"bandPosition": 0.5, "grid": true, "gridColor": "#000000", "gridOpacity": 1, "gridWidth": 0.5, "labelPadding": 10, "tickSize": 5, "tickWidth": 0.5}, "axisBand": {"grid": false, "tickExtra": true}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 50, "symbolType": "square"}, "range": {"category": ["#4572a7", "#aa4643", "#8aa453", "#71598e", "#4598ae", "#d98445", "#94aace", "#d09393", "#b9cc98", "#a99cbc"]}}, "data": {"url": "data/4107.tsv"}, "mark": "area", "encoding": {"color": {"value": "#d09393"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Expenditure in million GBP"}, "field": "Expenditure in million GBP"}}, "title": ["Annual expenditure on veterinary and other", "pet services in the United Kingdom from 2005", "to 2019 , by volume (in million GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: 2000-2002 there is littel change in the incomes levels recorded. 2003-2008 shows an increase of 10,000 dollars over the period. 2011-2019 shows an increase of 20,000 dollars of income.

Chart data: Income in U.S. dollars Year 66619 '19 63720 '18 60549 '17 58048 '16 55833 '15 52363 '14 49303 '13 48813 '12 46175 '11 43636 '10 42044 '09 43890 '08 43629 '07 42088 '06 39279 '05 37369 '04 35415 '03 34214 '02 34043 '01 33364 '00

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#4572a7"}, "line": {"stroke": "#4572a7", "strokeWidth": 2}, "rect": {"fill": "#4572a7"}, "bar": {"fill": "#4572a7"}, "point": {"color": "#4572a7", "strokeWidth": 1.5, "size": 50}, "axis": {"bandPosition": 0.5, "grid": true, "gridColor": "#000000", "gridOpacity": 1, "gridWidth": 0.5, "labelPadding": 10, "tickSize": 5, "tickWidth": 0.5}, "axisBand": {"grid": false, "tickExtra": true}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 50, "symbolType": "square"}, "range": {"category": ["#4572a7", "#aa4643", "#8aa453", "#71598e", "#4598ae", "#d98445", "#94aace", "#d09393", "#b9cc98", "#a99cbc"]}}, "data": {"url": "data/4109.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#4572a7"}, "x": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Income in U.S. dollars"}, "field": "Income in U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Per capita personal income in California", "from 2000 to 2019 (in current U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between 2005 and 2018 the revenue of the US broadcasting industry has increased significantly. There was a decrease in revenue between 2008 and 2009.

Chart data: Year Estimated revenue in billion U.S. dollars Dec 31, 2004 89.56 Dec 31, 2005 95.63 Dec 31, 2006 99.92 Dec 31, 2007 105.6 Dec 31, 2008 101.05 Dec 31, 2009 110.73 Dec 31, 2010 117.28 Dec 31, 2011 126.72 Dec 31, 2012 131.41 Dec 31, 2013 140.79 Dec 31, 2014 148.46 Dec 31, 2015 159.26 Dec 31, 2016 161.18 Dec 31, 2017 168.84

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": "data/4111.tsv"}, "mark": "line", "encoding": {"color": {"value": "#51b2e5"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Estimated revenue in billion U.S. dollars"}, "field": "Estimated revenue in billion U\\.S\\. dollars"}}, "title": ["Estimated revenue of the U.S. broadcasting", "industry from 2005 to 2018 (in billion U.S.", "dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The chart shows a general upward trend in revenue between 2001 and 2019. In 2001 the revenue is roughly 150 million US dollars and rising to  roughly 450 million dollars in 2019.

Chart data: Year Revenue in million U.S. dollars Dec 31, 2000 142 Dec 31, 2001 152 Dec 31, 2002 159 Dec 31, 2003 182 Dec 31, 2004 187 Dec 31, 2005 198 Dec 31, 2006 216 Dec 31, 2007 235 Dec 31, 2008 243 Dec 31, 2009 255 Dec 31, 2010 266 Dec 31, 2011 266 Dec 31, 2012 287 Dec 31, 2013 334 Dec 31, 2014 376 Dec 31, 2015 401 Dec 31, 2016 415 Dec 31, 2017 439 Dec 31, 2018 457

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": "data/4112.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ccebc5"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Revenue in million U.S. dollars"}, "field": "Revenue in million U\\.S\\. dollars"}}, "title": ["Pittsburgh Steelers revenue from 2001 to", "2019 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: A dramatic increase in revenue from $140 million in 2001 to $460 million in 2019. It was on a steady rise until 2011, then stagnated for a year and then really took off again, rising faster than before until 2019.

Chart data: Year Revenue in million U.S. dollars Dec 31, 2000 142 Dec 31, 2001 152 Dec 31, 2002 159 Dec 31, 2003 182 Dec 31, 2004 187 Dec 31, 2005 198 Dec 31, 2006 216 Dec 31, 2007 235 Dec 31, 2008 243 Dec 31, 2009 255 Dec 31, 2010 266 Dec 31, 2011 266 Dec 31, 2012 287 Dec 31, 2013 334 Dec 31, 2014 376 Dec 31, 2015 401 Dec 31, 2016 415 Dec 31, 2017 439 Dec 31, 2018 457

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": "data/4112.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ccebc5"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Revenue in million U.S. dollars"}, "field": "Revenue in million U\\.S\\. dollars"}}, "title": ["Pittsburgh Steelers revenue from 2001 to", "2019 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The countries with the most visa free access for Latin American countries are Argentina, Brazil and Chile. Five countries have a visa free score of over 150 (Uraguay, Mexico, Argentina, Brazil and Chile). The countries with the lowest visa free score in the chart are Peru, El Salvador and Honduras. Peru, El Salvador and Honduras, Paraguay, Panama and Costa Rica have visa free scores of under 150.

Chart data: Visa free score* Country 174 Chile 170 Argentina 170 Brazil 159 Mexico 153 Uruguay 150 Costa Rica 142 Paraguay 141 Panama 135 Peru 134 El Salvador 134 Honduras

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": "data/4114.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#7F7F7F"}, "x": {"type": "quantitative", "axis": {"title": "Visa free score*"}, "field": "Visa free score*"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}}, "title": ["Latin American passports with the most visa", "free access to other countries as of July", "2020 (visa free score)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: British Petroleum has by far the biggest revenue of the largest companies in Britain. Only a handful of companies have a revenue above 50 billion dollars.

Chart data: business Revenue in billion US dollars British Petroleum 303.74 HSBC 86.13 Tesco 84.25 Unilever 60.17 Vodafone Group 50.53 GlaxoSmithKline 41.11 Rio Tinto Group 40.52 Centrica 39.59 Barclays 38.28 J. Sainsbury 38.06 Lloyds Banking Group 35.06 Prudential 33.25 British American Tobacco 32.67 Compass Group 30.88 BT Group 30.74

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/4115.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bf5b17"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "business"}, "y": {"type": "quantitative", "axis": {"title": "Revenue in billion US dollars"}, "field": "Revenue in billion US dollars"}}, "title": ["Largest companies in the United Kingdom", "based on revenue in 2019 (in billion US dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph itself is displaying the largest companies in the United Kingdom in 2019. The graph is detailed by billions in US Dollars. The graph shows a relative similarity in most companies, however British Petroleum (BP) is clearly ahead at 300bn. HSBC and Tesco are slightly similar in nature as each other and slightly ahead of the rest of the rest of the companies just under 100bn.

Chart data: business Revenue in billion US dollars British Petroleum 303.74 HSBC 86.13 Tesco 84.25 Unilever 60.17 Vodafone Group 50.53 GlaxoSmithKline 41.11 Rio Tinto Group 40.52 Centrica 39.59 Barclays 38.28 J. Sainsbury 38.06 Lloyds Banking Group 35.06 Prudential 33.25 British American Tobacco 32.67 Compass Group 30.88 BT Group 30.74

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/4115.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bf5b17"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "business"}, "y": {"type": "quantitative", "axis": {"title": "Revenue in billion US dollars"}, "field": "Revenue in billion US dollars"}}, "title": ["Largest companies in the United Kingdom", "based on revenue in 2019 (in billion US dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The life expectancy at birth in China has increased from around 70 in 2000 to almost 80 in 2018.

Chart data: Year Life expectancy at birth (in years) Dec 31, 1998 71.08 Dec 31, 1999 71.73 Dec 31, 2000 72.18 Dec 31, 2001 72.61 Dec 31, 2002 73.03 Dec 31, 2003 73.42 Dec 31, 2004 74 Dec 31, 2005 74.3 Dec 31, 2006 74.6 Dec 31, 2007 74.8 Dec 31, 2008 75 Dec 31, 2009 75.2 Dec 31, 2010 75.4 Dec 31, 2011 75.6 Dec 31, 2012 75.8 Dec 31, 2013 75.9 Dec 31, 2014 76.1 Dec 31, 2015 76.3 Dec 31, 2016 76.4 Dec 31, 2017 76.7

Vega-Lite specification:
{"config": {"range": {"category": ["#4c78a8", "#9ecae9", "#f58518", "#ffbf79", "#54a24b", "#88d27a", "#b79a20", "#f2cf5b", "#439894", "#83bcb6", "#e45756", "#ff9d98", "#79706e", "#bab0ac", "#d67195", "#fcbfd2", "#b279a2", "#d6a5c9", "#9e765f", "#d8b5a5"]}}, "data": {"url": "data/4122.tsv"}, "mark": "line", "encoding": {"color": {"value": "#bab0ac"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Life expectancy at birth (in years)"}, "field": "Life expectancy at birth (in years)"}}, "title": ["China : Life expectancy at birth from 2007", "to 2018 (in years)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Derek jetter has scored the greater number of hits for the new York Yankees.

Chart data: Number of hits Hit leader 3465 Derek Jeter 2721 Lou Gehrig 2518 Babe Ruth 2415 Mickey Mantle 2336 Bernie Williams 2214 Joe DiMaggio 2153 Don Mattingly 2148 Yogi Berra 1969 Bill Dickey 1866 Earle Combs

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": "data/4128.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d190b6"}, "x": {"type": "quantitative", "axis": {"title": "Number of hits"}, "field": "Number of hits"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Hit leader"}}, "title": ["New York Yankees all-time hits leaders as", "of October 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph shows a clear leader in number of hits by Derek Jeter of around 3,500!. Substantially more than the second place number if hits by Lou Gehrig with around 2,700 hits. Closely followed by 3rd place with 2,500 by babe Ruth. After that the number of hits by the other named players are of similar levels .

Chart data: Number of hits Hit leader 3465 Derek Jeter 2721 Lou Gehrig 2518 Babe Ruth 2415 Mickey Mantle 2336 Bernie Williams 2214 Joe DiMaggio 2153 Don Mattingly 2148 Yogi Berra 1969 Bill Dickey 1866 Earle Combs

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": "data/4128.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d190b6"}, "x": {"type": "quantitative", "axis": {"title": "Number of hits"}, "field": "Number of hits"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Hit leader"}}, "title": ["New York Yankees all-time hits leaders as", "of October 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The chart shows that average annual wages have increased over the years covered by the chart at a fairly constant rate from around 8000 euros in 2000 to 15000 euros in 2019.

Chart data: Year Average annual wages in euros Dec 31, 1999 8606 Dec 31, 2000 8600 Dec 31, 2001 9052 Dec 31, 2002 9250 Dec 31, 2003 9402 Dec 31, 2004 10012 Dec 31, 2005 10344 Dec 31, 2006 10980 Dec 31, 2007 11089 Dec 31, 2008 11462 Dec 31, 2009 11967 Dec 31, 2010 11861 Dec 31, 2011 12280 Dec 31, 2012 12370 Dec 31, 2013 12613 Dec 31, 2014 13116 Dec 31, 2015 13539 Dec 31, 2016 13931 Dec 31, 2017 14310 Dec 31, 2018 15017

Vega-Lite specification:
{"config": {"range": {"category": ["#4c78a8", "#9ecae9", "#f58518", "#ffbf79", "#54a24b", "#88d27a", "#b79a20", "#f2cf5b", "#439894", "#83bcb6", "#e45756", "#ff9d98", "#79706e", "#bab0ac", "#d67195", "#fcbfd2", "#b279a2", "#d6a5c9", "#9e765f", "#d8b5a5"]}}, "data": {"url": "data/4136.tsv"}, "mark": "area", "encoding": {"color": {"value": "#439894"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Average annual wages in euros"}, "field": "Average annual wages in euros"}}, "title": ["Average annual wages in Slovak Republic", "from 2000 to 2019 (in euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Revenue for the Carolina Panthers increased from 150m USD to 450m USD between 2000 and 2020.

Chart data: Year Revenue in million U.S. dollars Dec 31, 2000 152 Dec 31, 2001 161 Dec 31, 2002 169 Dec 31, 2003 195 Dec 31, 2004 199 Dec 31, 2005 203 Dec 31, 2006 221 Dec 31, 2007 238 Dec 31, 2008 247 Dec 31, 2009 257 Dec 31, 2010 269 Dec 31, 2011 271 Dec 31, 2012 283 Dec 31, 2013 325 Dec 31, 2014 362 Dec 31, 2015 385 Dec 31, 2016 396 Dec 31, 2017 424 Dec 31, 2018 447

Vega-Lite specification:
{"config": {"range": {"category": ["#393b79", "#5254a3", "#6b6ecf", "#9c9ede", "#637939", "#8ca252", "#b5cf6b", "#cedb9c", "#8c6d31", "#bd9e39", "#e7ba52", "#e7cb94", "#843c39", "#ad494a", "#d6616b", "#e7969c", "#7b4173", "#a55194", "#ce6dbd", "#de9ed6"]}}, "data": {"url": "data/4138.tsv"}, "mark": "line", "encoding": {"color": {"value": "#5254a3"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Revenue in million U.S. dollars"}, "field": "Revenue in million U\\.S\\. dollars"}}, "title": ["Carolina Panthers revenue from 2001 to 2019", "(in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}