delen/vistext huggingface dataset:
Chart description: Since 2010, there has been an increase in numbers of people receiving influenza vaccinations.

Chart data: Response Percentage of persons aged 12 years and older Dec 31, 2002 0.276 Dec 31, 2004 0.338 Dec 31, 2006 0.316 Dec 31, 2007 0.317 Dec 31, 2008 0.322 Dec 31, 2009 0.255 Dec 31, 2010 0.302 Dec 31, 2011 0.289 Dec 31, 2012 0.293 Dec 31, 2013 0.325 Dec 31, 2014 0.333 Dec 31, 2015 0.316 Dec 31, 2016 0.326 Dec 31, 2017 0.315 Dec 31, 2018 0.336

Vega-Lite specification:
{"config": {"background": "#ffffff", "title": {"anchor": "start", "color": "#000000", "font": "Benton Gothic Bold, sans-serif", "fontSize": 22, "fontWeight": "normal"}, "area": {"fill": "#82c6df"}, "line": {"stroke": "#82c6df", "strokeWidth": 2}, "rect": {"fill": "#82c6df"}, "bar": {"fill": "#82c6df"}, "point": {"color": "#82c6df", "size": 30}, "axis": {"labelFont": "Benton Gothic, sans-serif", "labelFontSize": 11.5, "labelFontWeight": "normal", "titleFont": "Benton Gothic Bold, sans-serif", "titleFontSize": 13, "titleFontWeight": "normal"}, "axisX": {"labelPadding": 4, "tickSize": 3}, "axisY": {"labelBaseline": "middle", "maxExtent": 45, "minExtent": 45, "tickSize": 2, "titleAlign": "left", "titleAngle": 0, "titleX": -45, "titleY": -11}, "legend": {"labelFont": "Benton Gothic, sans-serif", "labelFontSize": 11.5, "symbolType": "square", "titleFont": "Benton Gothic Bold, sans-serif", "titleFontSize": 13, "titleFontWeight": "normal"}, "range": {"category": ["#ec8431", "#829eb1", "#c89d29", "#3580b1", "#adc839", "#ab7fb4"], "diverging": ["#e68a4f", "#f4bb6a", "#f9e39c", "#dadfe2", "#a6b7c6", "#849eae"], "heatmap": ["#fbf2c7", "#f9e39c", "#f8d36e", "#f4bb6a", "#e68a4f", "#d15a40", "#ab4232"], "ordinal": ["#fbf2c7", "#f9e39c", "#f8d36e", "#f4bb6a", "#e68a4f", "#d15a40", "#ab4232"], "ramp": ["#fbf2c7", "#f9e39c", "#f8d36e", "#f4bb6a", "#e68a4f", "#d15a40", "#ab4232"]}}, "data": {"url": "data/8689.tsv"}, "mark": "line", "encoding": {"color": {"value": "#adc839"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Percentage of persons aged 12 years and older"}, "field": "Percentage of persons aged 12 years and older"}}, "title": ["Percentage of Canadians who have received", "the influenza immunization less than one", "year ago from 2003 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The percentage ratio for heart disease and other is quite close.

Chart data: Cause of death Percentage of all death causes Heart disease 0.231 Malignant neoplasms 0.211 Accidents (unintentional injuries) 0.059 Chronic lower respiratorydiseases 0.056 Cerebrovascular diseases 0.052 Alzheimer’s disease 0.043 Diabetes mellitus 0.03 Influenza and pneumonia 0.021 Nephritis, nephrotic syndrome and nephrosis 0.018 Intentional self-harm (suicide) 0.017 Other 0.262

Vega-Lite specification:
{"config": {"area": {"fill": "#3366CC"}, "rect": {"fill": "#3366CC"}, "bar": {"fill": "#3366CC"}, "point": {"stroke": "#3366CC"}, "circle": {"fill": "#3366CC"}, "background": "#fff", "padding": {"top": 10, "right": 10, "bottom": 10, "left": 10}, "style": {"guide-label": {"font": "Arial, sans-serif", "fontSize": 12}, "guide-title": {"font": "Arial, sans-serif", "fontSize": 12}, "group-title": {"font": "Arial, sans-serif", "fontSize": 12}}, "title": {"font": "Arial, sans-serif", "fontSize": 14, "fontWeight": "bold", "dy": -3, "anchor": "start"}, "axis": {"gridColor": "#ccc", "tickColor": "#ccc", "domain": false, "grid": true}, "range": {"category": ["#4285F4", "#DB4437", "#F4B400", "#0F9D58", "#AB47BC", "#00ACC1", "#FF7043", "#9E9D24", "#5C6BC0", "#F06292", "#00796B", "#C2185B"], "heatmap": ["#c6dafc", "#5e97f6", "#2a56c6"]}}, "data": {"url": "data/868.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#0F9D58"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Cause of death"}, "y": {"type": "quantitative", "axis": {"title": "Percentage of all death causes"}, "field": "Percentage of all death causes"}}, "title": ["Distribution of the 10 leading causes of", "death in the United States in 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The largest cause of death is categorised as 'other' which could mean any number of unspecified illnesses. Heart Disease is the highest specified cause of death in the US, with malignant neoplasms a close second. Unintention accidents account for more deaths than alzheimer's in the US. Nephritis and self harm are shown to cause the same percentage of deaths.

Chart data: Cause of death Percentage of all death causes Heart disease 0.231 Malignant neoplasms 0.211 Accidents (unintentional injuries) 0.059 Chronic lower respiratorydiseases 0.056 Cerebrovascular diseases 0.052 Alzheimer’s disease 0.043 Diabetes mellitus 0.03 Influenza and pneumonia 0.021 Nephritis, nephrotic syndrome and nephrosis 0.018 Intentional self-harm (suicide) 0.017 Other 0.262

Vega-Lite specification:
{"config": {"area": {"fill": "#3366CC"}, "rect": {"fill": "#3366CC"}, "bar": {"fill": "#3366CC"}, "point": {"stroke": "#3366CC"}, "circle": {"fill": "#3366CC"}, "background": "#fff", "padding": {"top": 10, "right": 10, "bottom": 10, "left": 10}, "style": {"guide-label": {"font": "Arial, sans-serif", "fontSize": 12}, "guide-title": {"font": "Arial, sans-serif", "fontSize": 12}, "group-title": {"font": "Arial, sans-serif", "fontSize": 12}}, "title": {"font": "Arial, sans-serif", "fontSize": 14, "fontWeight": "bold", "dy": -3, "anchor": "start"}, "axis": {"gridColor": "#ccc", "tickColor": "#ccc", "domain": false, "grid": true}, "range": {"category": ["#4285F4", "#DB4437", "#F4B400", "#0F9D58", "#AB47BC", "#00ACC1", "#FF7043", "#9E9D24", "#5C6BC0", "#F06292", "#00796B", "#C2185B"], "heatmap": ["#c6dafc", "#5e97f6", "#2a56c6"]}}, "data": {"url": "data/868.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#0F9D58"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Cause of death"}, "y": {"type": "quantitative", "axis": {"title": "Percentage of all death causes"}, "field": "Percentage of all death causes"}}, "title": ["Distribution of the 10 leading causes of", "death in the United States in 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Heart disease and malignant neoplasms are significantly more common than any other cause of death.

Chart data: Cause of death Percentage of all death causes Heart disease 0.231 Malignant neoplasms 0.211 Accidents (unintentional injuries) 0.059 Chronic lower respiratorydiseases 0.056 Cerebrovascular diseases 0.052 Alzheimer’s disease 0.043 Diabetes mellitus 0.03 Influenza and pneumonia 0.021 Nephritis, nephrotic syndrome and nephrosis 0.018 Intentional self-harm (suicide) 0.017 Other 0.262

Vega-Lite specification:
{"config": {"area": {"fill": "#3366CC"}, "rect": {"fill": "#3366CC"}, "bar": {"fill": "#3366CC"}, "point": {"stroke": "#3366CC"}, "circle": {"fill": "#3366CC"}, "background": "#fff", "padding": {"top": 10, "right": 10, "bottom": 10, "left": 10}, "style": {"guide-label": {"font": "Arial, sans-serif", "fontSize": 12}, "guide-title": {"font": "Arial, sans-serif", "fontSize": 12}, "group-title": {"font": "Arial, sans-serif", "fontSize": 12}}, "title": {"font": "Arial, sans-serif", "fontSize": 14, "fontWeight": "bold", "dy": -3, "anchor": "start"}, "axis": {"gridColor": "#ccc", "tickColor": "#ccc", "domain": false, "grid": true}, "range": {"category": ["#4285F4", "#DB4437", "#F4B400", "#0F9D58", "#AB47BC", "#00ACC1", "#FF7043", "#9E9D24", "#5C6BC0", "#F06292", "#00796B", "#C2185B"], "heatmap": ["#c6dafc", "#5e97f6", "#2a56c6"]}}, "data": {"url": "data/868.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#0F9D58"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Cause of death"}, "y": {"type": "quantitative", "axis": {"title": "Percentage of all death causes"}, "field": "Percentage of all death causes"}}, "title": ["Distribution of the 10 leading causes of", "death in the United States in 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of cycling equipment stores in Canada (as of Dec 2019) was highest in Quebec, Ontario and British Columbia. Quebec had the most stores with over 170 stores. The least number of stores were located in Prince Edward Island, Yukon and Newfoundland and Labrador.

Chart data: province of Canada Number of establishments Quebec 186 Ontario 158 British Columbia 136 Alberta 30 Manitoba 16 Nova Scotia 12 New Brunswick 9 Saskatchewan 8 Yukon 2 Newfoundland and Labrador 2 Prince Edward Island 1

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/8693.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#999999"}, "x": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "province of Canada"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Number of establishments"}, "field": "Number of establishments"}}, "title": ["Number of cycling equipment and supplies", "stores in Canada as of December 2019 , by", "region"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: It shows that the leaders are Quebec followed by Ontario and British Columbia.

Chart data: province of Canada Number of establishments Quebec 186 Ontario 158 British Columbia 136 Alberta 30 Manitoba 16 Nova Scotia 12 New Brunswick 9 Saskatchewan 8 Yukon 2 Newfoundland and Labrador 2 Prince Edward Island 1

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/8693.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#999999"}, "x": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "province of Canada"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Number of establishments"}, "field": "Number of establishments"}}, "title": ["Number of cycling equipment and supplies", "stores in Canada as of December 2019 , by", "region"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The revenue of the Philadelphia Flyers has remained static for the last 2 years. 2012/13 was the lowest year for revenue for the Philadelphia Flyers. With the exception of the 2012/13 year, revenue for the Philadelphia Flyers has increased year on year between 2005/6 and 2018/19.

Chart data: Year Revenue in million U.S. dollars 2018/19 187 2017/18 186 2016/17 170 2015/16 160 2014/15 146 2013/14 136 2012/13* 95 2011/12 124 2010/11 111 2009/10 121 2008/09 101 2007/08 102 2006/07 87 2005/06 88

Vega-Lite specification:
{"config": {"area": {"fill": "#3366CC"}, "rect": {"fill": "#3366CC"}, "bar": {"fill": "#3366CC"}, "point": {"stroke": "#3366CC"}, "circle": {"fill": "#3366CC"}, "background": "#fff", "padding": {"top": 10, "right": 10, "bottom": 10, "left": 10}, "style": {"guide-label": {"font": "Arial, sans-serif", "fontSize": 12}, "guide-title": {"font": "Arial, sans-serif", "fontSize": 12}, "group-title": {"font": "Arial, sans-serif", "fontSize": 12}}, "title": {"font": "Arial, sans-serif", "fontSize": 14, "fontWeight": "bold", "dy": -3, "anchor": "start"}, "axis": {"gridColor": "#ccc", "tickColor": "#ccc", "domain": false, "grid": true}, "range": {"category": ["#4285F4", "#DB4437", "#F4B400", "#0F9D58", "#AB47BC", "#00ACC1", "#FF7043", "#9E9D24", "#5C6BC0", "#F06292", "#00796B", "#C2185B"], "heatmap": ["#c6dafc", "#5e97f6", "#2a56c6"]}}, "data": {"url": "data/8695.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#5C6BC0"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Revenue in million U.S. dollars"}, "field": "Revenue in million U\\.S\\. dollars"}}, "title": ["Revenue of the Philadelphia Flyers from", "2005/06 to 2018/19 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The most amount of houses and internet access in 2017The amount of houses with internet has slowly risen since 2018.

Chart data: Response Share of households Dec 31, 2006 0.78 Dec 31, 2007 0.82 Dec 31, 2008 0.83 Dec 31, 2009 0.86 Dec 31, 2010 0.9 Dec 31, 2011 0.92 Dec 31, 2012 0.93 Dec 31, 2013 0.93 Dec 31, 2014 0.92 Dec 31, 2015 0.94 Dec 31, 2016 0.97 Dec 31, 2017 0.93 Dec 31, 2018 0.95

Vega-Lite specification:
{"config": {"area": {"fill": "#3366CC"}, "rect": {"fill": "#3366CC"}, "bar": {"fill": "#3366CC"}, "point": {"stroke": "#3366CC"}, "circle": {"fill": "#3366CC"}, "background": "#fff", "padding": {"top": 10, "right": 10, "bottom": 10, "left": 10}, "style": {"guide-label": {"font": "Arial, sans-serif", "fontSize": 12}, "guide-title": {"font": "Arial, sans-serif", "fontSize": 12}, "group-title": {"font": "Arial, sans-serif", "fontSize": 12}}, "title": {"font": "Arial, sans-serif", "fontSize": 14, "fontWeight": "bold", "dy": -3, "anchor": "start"}, "axis": {"gridColor": "#ccc", "tickColor": "#ccc", "domain": false, "grid": true}, "range": {"category": ["#4285F4", "#DB4437", "#F4B400", "#0F9D58", "#AB47BC", "#00ACC1", "#FF7043", "#9E9D24", "#5C6BC0", "#F06292", "#00796B", "#C2185B"], "heatmap": ["#c6dafc", "#5e97f6", "#2a56c6"]}}, "data": {"url": "data/8699.tsv"}, "mark": "line", "encoding": {"color": {"value": "#9E9D24"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Share of households"}, "field": "Share of households"}}, "title": ["Share of households with internet access", "in Denmark from 2007 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: respondents from India agree that the media exaggerated the extent of covid outbreak the most, followed by Australia, the US and Russia. Respondents from China and Italy are the least who agree.

Chart data: Percentage of respondents who agree Response 0.58 Australia 0.48 Canada 0.43 France 0.42 Germany 0.29 Italy 0.43 Japan 0.55 Russia 0.5 United Kingdom 0.55 United States 0.43 Vietnam 0.29 China 0.73 India

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/869.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#cbd5e8"}, "x": {"type": "quantitative", "axis": {"title": "Percentage of respondents who agree"}, "field": "Percentage of respondents who agree"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}}, "title": ["Share of respondents worldwide who agree", "that the media has exaggerated the extent", "of the coronavirus (COVID-19) outbreak as", "of March 14 , 2020 , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Arizona Cardinals revenue has consistently increased from 2001 to 2019. Revenue has near quadrupled from 120 million to 420 million.

Chart data: Year Revenue in million U.S. dollars Dec 31, 2000 110 Dec 31, 2001 126 Dec 31, 2002 131 Dec 31, 2003 153 Dec 31, 2004 158 Dec 31, 2005 189 Dec 31, 2006 203 Dec 31, 2007 223 Dec 31, 2008 236 Dec 31, 2009 240 Dec 31, 2010 246 Dec 31, 2011 253 Dec 31, 2012 266 Dec 31, 2013 308 Dec 31, 2014 348 Dec 31, 2015 370 Dec 31, 2016 380 Dec 31, 2017 400 Dec 31, 2018 422

Vega-Lite specification:
{"config": {"background": "#ffffff", "title": {"anchor": "start", "color": "#000000", "font": "Benton Gothic Bold, sans-serif", "fontSize": 22, "fontWeight": "normal"}, "area": {"fill": "#82c6df"}, "line": {"stroke": "#82c6df", "strokeWidth": 2}, "rect": {"fill": "#82c6df"}, "bar": {"fill": "#82c6df"}, "point": {"color": "#82c6df", "size": 30}, "axis": {"labelFont": "Benton Gothic, sans-serif", "labelFontSize": 11.5, "labelFontWeight": "normal", "titleFont": "Benton Gothic Bold, sans-serif", "titleFontSize": 13, "titleFontWeight": "normal"}, "axisX": {"labelPadding": 4, "tickSize": 3}, "axisY": {"labelBaseline": "middle", "maxExtent": 45, "minExtent": 45, "tickSize": 2, "titleAlign": "left", "titleAngle": 0, "titleX": -45, "titleY": -11}, "legend": {"labelFont": "Benton Gothic, sans-serif", "labelFontSize": 11.5, "symbolType": "square", "titleFont": "Benton Gothic Bold, sans-serif", "titleFontSize": 13, "titleFontWeight": "normal"}, "range": {"category": ["#ec8431", "#829eb1", "#c89d29", "#3580b1", "#adc839", "#ab7fb4"], "diverging": ["#e68a4f", "#f4bb6a", "#f9e39c", "#dadfe2", "#a6b7c6", "#849eae"], "heatmap": ["#fbf2c7", "#f9e39c", "#f8d36e", "#f4bb6a", "#e68a4f", "#d15a40", "#ab4232"], "ordinal": ["#fbf2c7", "#f9e39c", "#f8d36e", "#f4bb6a", "#e68a4f", "#d15a40", "#ab4232"], "ramp": ["#fbf2c7", "#f9e39c", "#f8d36e", "#f4bb6a", "#e68a4f", "#d15a40", "#ab4232"]}}, "data": {"url": "data/8701.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ab7fb4"}, "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": ["Arizona Cardinals revenue from 2001 to 2019", "(in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Arizona cardinals revenue has consistently increased year by year since 2001.

Chart data: Year Revenue in million U.S. dollars Dec 31, 2000 110 Dec 31, 2001 126 Dec 31, 2002 131 Dec 31, 2003 153 Dec 31, 2004 158 Dec 31, 2005 189 Dec 31, 2006 203 Dec 31, 2007 223 Dec 31, 2008 236 Dec 31, 2009 240 Dec 31, 2010 246 Dec 31, 2011 253 Dec 31, 2012 266 Dec 31, 2013 308 Dec 31, 2014 348 Dec 31, 2015 370 Dec 31, 2016 380 Dec 31, 2017 400 Dec 31, 2018 422

Vega-Lite specification:
{"config": {"background": "#ffffff", "title": {"anchor": "start", "color": "#000000", "font": "Benton Gothic Bold, sans-serif", "fontSize": 22, "fontWeight": "normal"}, "area": {"fill": "#82c6df"}, "line": {"stroke": "#82c6df", "strokeWidth": 2}, "rect": {"fill": "#82c6df"}, "bar": {"fill": "#82c6df"}, "point": {"color": "#82c6df", "size": 30}, "axis": {"labelFont": "Benton Gothic, sans-serif", "labelFontSize": 11.5, "labelFontWeight": "normal", "titleFont": "Benton Gothic Bold, sans-serif", "titleFontSize": 13, "titleFontWeight": "normal"}, "axisX": {"labelPadding": 4, "tickSize": 3}, "axisY": {"labelBaseline": "middle", "maxExtent": 45, "minExtent": 45, "tickSize": 2, "titleAlign": "left", "titleAngle": 0, "titleX": -45, "titleY": -11}, "legend": {"labelFont": "Benton Gothic, sans-serif", "labelFontSize": 11.5, "symbolType": "square", "titleFont": "Benton Gothic Bold, sans-serif", "titleFontSize": 13, "titleFontWeight": "normal"}, "range": {"category": ["#ec8431", "#829eb1", "#c89d29", "#3580b1", "#adc839", "#ab7fb4"], "diverging": ["#e68a4f", "#f4bb6a", "#f9e39c", "#dadfe2", "#a6b7c6", "#849eae"], "heatmap": ["#fbf2c7", "#f9e39c", "#f8d36e", "#f4bb6a", "#e68a4f", "#d15a40", "#ab4232"], "ordinal": ["#fbf2c7", "#f9e39c", "#f8d36e", "#f4bb6a", "#e68a4f", "#d15a40", "#ab4232"], "ramp": ["#fbf2c7", "#f9e39c", "#f8d36e", "#f4bb6a", "#e68a4f", "#d15a40", "#ab4232"]}}, "data": {"url": "data/8701.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ab7fb4"}, "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": ["Arizona Cardinals revenue from 2001 to 2019", "(in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Revenue increase was the lowest in the first 5 years . Increase over the next 3 , 5 year periods is relatively constant . The last five years has a steeper increase than previous.

Chart data: Year Revenue in million U.S. dollars Dec 31, 2000 110 Dec 31, 2001 126 Dec 31, 2002 131 Dec 31, 2003 153 Dec 31, 2004 158 Dec 31, 2005 189 Dec 31, 2006 203 Dec 31, 2007 223 Dec 31, 2008 236 Dec 31, 2009 240 Dec 31, 2010 246 Dec 31, 2011 253 Dec 31, 2012 266 Dec 31, 2013 308 Dec 31, 2014 348 Dec 31, 2015 370 Dec 31, 2016 380 Dec 31, 2017 400 Dec 31, 2018 422

Vega-Lite specification:
{"config": {"background": "#ffffff", "title": {"anchor": "start", "color": "#000000", "font": "Benton Gothic Bold, sans-serif", "fontSize": 22, "fontWeight": "normal"}, "area": {"fill": "#82c6df"}, "line": {"stroke": "#82c6df", "strokeWidth": 2}, "rect": {"fill": "#82c6df"}, "bar": {"fill": "#82c6df"}, "point": {"color": "#82c6df", "size": 30}, "axis": {"labelFont": "Benton Gothic, sans-serif", "labelFontSize": 11.5, "labelFontWeight": "normal", "titleFont": "Benton Gothic Bold, sans-serif", "titleFontSize": 13, "titleFontWeight": "normal"}, "axisX": {"labelPadding": 4, "tickSize": 3}, "axisY": {"labelBaseline": "middle", "maxExtent": 45, "minExtent": 45, "tickSize": 2, "titleAlign": "left", "titleAngle": 0, "titleX": -45, "titleY": -11}, "legend": {"labelFont": "Benton Gothic, sans-serif", "labelFontSize": 11.5, "symbolType": "square", "titleFont": "Benton Gothic Bold, sans-serif", "titleFontSize": 13, "titleFontWeight": "normal"}, "range": {"category": ["#ec8431", "#829eb1", "#c89d29", "#3580b1", "#adc839", "#ab7fb4"], "diverging": ["#e68a4f", "#f4bb6a", "#f9e39c", "#dadfe2", "#a6b7c6", "#849eae"], "heatmap": ["#fbf2c7", "#f9e39c", "#f8d36e", "#f4bb6a", "#e68a4f", "#d15a40", "#ab4232"], "ordinal": ["#fbf2c7", "#f9e39c", "#f8d36e", "#f4bb6a", "#e68a4f", "#d15a40", "#ab4232"], "ramp": ["#fbf2c7", "#f9e39c", "#f8d36e", "#f4bb6a", "#e68a4f", "#d15a40", "#ab4232"]}}, "data": {"url": "data/8701.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ab7fb4"}, "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": ["Arizona Cardinals revenue from 2001 to 2019", "(in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: From 2005-2012, the Tampa Bag Lightnings had a steady revenue of approximately 75 million dollars, however it faced a drop in revenue in 2013 to approx 40 million.

Chart data: Revenue in million U.S. dollars Year 140 2018/19 146 2017/18 124 2016/17 127 2015/16 121 2014/15 97 2013/14 72 2012/13* 88 2011/12 87 2010/11 76 2009/10 80 2008/09 84 2007/08 85 2006/07 82 2005/06

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/8714.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#666666"}, "x": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Revenue in million U.S. dollars"}, "field": "Revenue in million U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Revenue of the Tampa Bay Lightnings from", "2005/06 to 2018/19 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Orlando is the most popular domestic summer city destination for travelers in the United States in 2015. Anaheim, Los Angeles, New Orleans, San Diego and Washington DC were the least popular domestic summer city destination for travelers in the United States in 2015.

Chart data: Share of respondents Response 0.17 Orlando 0.13 Las Vegas 0.04 San Francisco 0.03 New York City 0.03 Miami 0.02 Los Angeles 0.02 Anaheim 0.02 San Diego 0.02 New Orleans 0.02 Washington DC

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/8719.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#55b748"}, "x": {"type": "quantitative", "axis": {"title": "Share of respondents"}, "field": "Share of respondents"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}}, "title": ["Most popular domestic summer city destinations", "for travelers in the United States in 2015"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Attendance at cities is quite equally spread, apart from Las Vegas and Orlando which are far more popular holiday destinations.

Chart data: Share of respondents Response 0.17 Orlando 0.13 Las Vegas 0.04 San Francisco 0.03 New York City 0.03 Miami 0.02 Los Angeles 0.02 Anaheim 0.02 San Diego 0.02 New Orleans 0.02 Washington DC

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/8719.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#55b748"}, "x": {"type": "quantitative", "axis": {"title": "Share of respondents"}, "field": "Share of respondents"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}}, "title": ["Most popular domestic summer city destinations", "for travelers in the United States in 2015"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The chart shows that the homeowner vacancy rate was highest between 2005 and 2010. The homeowner vacancy rate was the lowest in 2020.

Chart data: Year Homeowner vacancy rate Dec 31, 1989 0.017 Dec 31, 1994 0.015 Dec 31, 1999 0.016 Dec 31, 2004 0.019 Dec 31, 2005 0.024 Dec 31, 2006 0.027 Dec 31, 2007 0.028 Dec 31, 2008 0.026 Dec 31, 2009 0.026 Dec 31, 2010 0.025 Dec 31, 2011 0.019 Dec 31, 2012 0.021 Dec 31, 2013 0.019 Dec 31, 2014 0.019 Dec 31, 2015 0.018 Dec 31, 2016 0.016 Dec 31, 2017 0.015 Dec 31, 2018 0.014

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/8721.tsv"}, "mark": "area", "encoding": {"color": {"value": "#f2f2f2"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Homeowner vacancy rate"}, "field": "Homeowner vacancy rate"}}, "title": ["Homeowner vacancy rates in the United States", "from 1990 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Homeowner vavancy rates recorded peaked between 2005 and 2010. The lowest vacancy rate is recorded after 2015 with vacancy rates falling to the end of the recorded periodThe falling trend of vacancies seems to spike upwards again shortly after 2010.

Chart data: Year Homeowner vacancy rate Dec 31, 1989 0.017 Dec 31, 1994 0.015 Dec 31, 1999 0.016 Dec 31, 2004 0.019 Dec 31, 2005 0.024 Dec 31, 2006 0.027 Dec 31, 2007 0.028 Dec 31, 2008 0.026 Dec 31, 2009 0.026 Dec 31, 2010 0.025 Dec 31, 2011 0.019 Dec 31, 2012 0.021 Dec 31, 2013 0.019 Dec 31, 2014 0.019 Dec 31, 2015 0.018 Dec 31, 2016 0.016 Dec 31, 2017 0.015 Dec 31, 2018 0.014

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/8721.tsv"}, "mark": "area", "encoding": {"color": {"value": "#f2f2f2"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Homeowner vacancy rate"}, "field": "Homeowner vacancy rate"}}, "title": ["Homeowner vacancy rates in the United States", "from 1990 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The highest number of smallpox cases was recorded in 1920. The lowest number of smallpox cases was between 1940 & 1952. The most number of records are between 20,00 and 40,000.

Chart data: Year Number of smallpox cases Dec 31, 1899 21064 Dec 31, 1900 62374 Dec 31, 1901 72946 Dec 31, 1902 52737 Dec 31, 1903 31697 Dec 31, 1904 19417 Dec 31, 1905 15223 Dec 31, 1906 18977 Dec 31, 1907 33998 Dec 31, 1908 23560 Dec 31, 1909 31254 Dec 31, 1910 23044 Dec 31, 1911 23566 Dec 31, 1912 38400 Dec 31, 1913 40474 Dec 31, 1914 38381 Dec 31, 1915 19740 Dec 31, 1916 47508 Dec 31, 1917 80334 Dec 31, 1918 62876 Dec 31, 1919 110672 Dec 31, 1920 108487 Dec 31, 1921 33305 Dec 31, 1922 30890 Dec 31, 1923 56513 Dec 31, 1924 39381 Dec 31, 1925 32694 Dec 31, 1926 37977 Dec 31, 1927 39396 Dec 31, 1928 42341 Dec 31, 1929 48329 Dec 31, 1930 30151 Dec 31, 1931 11194 Dec 31, 1932 6491 Dec 31, 1933 5371 Dec 31, 1934 7957 Dec 31, 1935 7834 Dec 31, 1936 11673 Dec 31, 1937 14939 Dec 31, 1938 9877 Dec 31, 1939 2795 Dec 31, 1940 1396 Dec 31, 1941 865 Dec 31, 1942 765 Dec 31, 1943 398 Dec 31, 1944 346 Dec 31, 1945 357 Dec 31, 1946 176 Dec 31, 1947 57 Dec 31, 1948 49 Dec 31, 1949 0 Dec 31, 1950 0 Dec 31, 1951 0

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/8725.tsv"}, "mark": "area", "encoding": {"color": {"value": "#8ca252"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Number of smallpox cases"}, "field": "Number of smallpox cases"}}, "title": ["Number of smallpox cases recorded in the", "United States from 1900 to 1952"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: commodity prices were highest in 2013. comomdity prices have fluctuated over the years. commodity prices havent gone below 1000.

Chart data: Pound price per metric ton of deadweight pig Year 1518.2 2019 1500.7 2018 1600.8 2017 1316 2016 1357 2015 1595.1 2014** 1651.5 2013 1501.9 2012 1447.4 2011 1418 2010 1457.9 2009

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/8726.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#4572a7"}, "x": {"type": "quantitative", "axis": {"labelAngle": -90, "title": "Pound price per metric ton of deadweight pig"}, "field": "Pound price per metric ton of deadweight pig"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}}, "title": ["Commodity prices : average pig prices per", "metric ton of deadweight in the United Kingdom", "(UK) from 2009 to 2019 (in GBP per metric", "ton)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Most shops have a revenue up to 2 000 000 SEK. Only 1 has a revenue above 8 000 000 and that is Dustin/Dustin Home.

Chart data: Revenue in thousand SEK web shops 8689669 Dustin / Dustin home 1721072 Cdon.com 1619359 Ellos 1449069 Adlibris 1407400 Boozt.com 1195213 Nelly.com / NLY Man 1110272 Komplett.se 967620 Apotea / Vitaminvaruhuset.se 961363 MatHem 927830 Bygghemma.se

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/8733.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#DCDCDC"}, "x": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Revenue in thousand SEK"}, "field": "Revenue in thousand SEK"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "web shops"}}, "title": ["Ranking of the ten largest web shops in", "Sweden in 2018 , by revenue (in 1,000 SEK)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The amount of doctors per 1,000 population in Germany has slowly increased over the years. While the number was less than 3 in 1991, it reached over 4 by 2018.

Chart data: Year Doctors per thousand population Dec 31, 1990 2.76 Dec 31, 1991 2.83 Dec 31, 1992 2.92 Dec 31, 1993 2.99 Dec 31, 1994 3.05 Dec 31, 1995 3.1 Dec 31, 1996 3.12 Dec 31, 1997 3.16 Dec 31, 1998 3.2 Dec 31, 1999 3.25 Dec 31, 2000 3.29 Dec 31, 2001 3.32 Dec 31, 2002 3.35 Dec 31, 2003 3.37 Dec 31, 2004 3.4 Dec 31, 2005 3.44 Dec 31, 2006 3.49 Dec 31, 2007 3.54 Dec 31, 2008 3.62 Dec 31, 2009 3.71 Dec 31, 2010 3.88 Dec 31, 2011 3.95 Dec 31, 2012 4.04 Dec 31, 2013 4.11 Dec 31, 2014 4.14 Dec 31, 2015 4.19 Dec 31, 2016 4.25 Dec 31, 2017 4.31

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": "data/8751.tsv"}, "mark": "line", "encoding": {"color": {"value": "#74a9cf"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Doctors per thousand population"}, "field": "Doctors per thousand population"}}, "title": ["Number of practicing doctors in Germany", "between 1991 and 2018 (per 1,000 population)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Games account for several of the most popular apps in 2020 with more downloads than social media.

Chart data: Number of downloads in thousands app name 178.86 Among Us 125.15 Emoji Puzzle! 108.13 Scribble Rider 98.1 TikTok - Trends Start Here 89.5 SHEIN-Fashion Shopping Online 68.42 Do Not Fall .io 64.93 WhatsApp Messenger 59.37 bol.com 56.16 Rescue Machine 54.84 VIP Guard

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/8758.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#386cb0"}, "x": {"type": "quantitative", "axis": {"title": "Number of downloads in thousands"}, "field": "Number of downloads in thousands"}, "y": {"type": "nominal", "axis": {"labelAngle": 0}, "bin": false, "field": "app name"}}, "title": ["Leading Android apps in the Google Play", "Store in Belgium as of September 2020 , by", "number of downloads (in 1,000s)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Travelers companies has the highest market share, and old republic insurance has the lowest market share.

Chart data: Market share business 0.075 Travelers Companies Inc. 0.059 Hartford Financial Services 0.047 Zurich Insurance Group* 0.046 AmTrust Financial Services 0.043 Liberty Mutual 0.042 Chubb** 0.04 Berkshire Hathaway Inc. 0.039 State Insurance Fund Workers' Comp. (NY) 0.027 AF Group 0.026 Old Republic Insurance

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/8763.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bab0ac"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Market share"}, "field": "Market share"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "business"}}, "title": ["Market share of leading worker compensation", "insurance companies in the United States", "in 2018 , by direct premiums written"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: the chart shows that state insurance fund workers has the largest market share and AF group has the smallest market share.

Chart data: Market share business 0.075 Travelers Companies Inc. 0.059 Hartford Financial Services 0.047 Zurich Insurance Group* 0.046 AmTrust Financial Services 0.043 Liberty Mutual 0.042 Chubb** 0.04 Berkshire Hathaway Inc. 0.039 State Insurance Fund Workers' Comp. (NY) 0.027 AF Group 0.026 Old Republic Insurance

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/8763.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bab0ac"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Market share"}, "field": "Market share"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "business"}}, "title": ["Market share of leading worker compensation", "insurance companies in the United States", "in 2018 , by direct premiums written"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Travellers companies had the largest market share. Old Republic insurance had the smallest market share.

Chart data: Market share business 0.075 Travelers Companies Inc. 0.059 Hartford Financial Services 0.047 Zurich Insurance Group* 0.046 AmTrust Financial Services 0.043 Liberty Mutual 0.042 Chubb** 0.04 Berkshire Hathaway Inc. 0.039 State Insurance Fund Workers' Comp. (NY) 0.027 AF Group 0.026 Old Republic Insurance

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/8763.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bab0ac"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Market share"}, "field": "Market share"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "business"}}, "title": ["Market share of leading worker compensation", "insurance companies in the United States", "in 2018 , by direct premiums written"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The median household income in Utah between 1990 and 2019 has increased from around $30,000 to $85,000.

Chart data: Year Household income in current U.S. dollars Dec 31, 1989 30142 Dec 31, 1990 28016 Dec 31, 1991 34251 Dec 31, 1992 35786 Dec 31, 1993 35716 Dec 31, 1994 36480 Dec 31, 1995 37038 Dec 31, 1996 42775 Dec 31, 1997 44299 Dec 31, 1998 46050 Dec 31, 1999 47550 Dec 31, 2000 47342 Dec 31, 2001 47861 Dec 31, 2002 49275 Dec 31, 2003 50871 Dec 31, 2004 54813 Dec 31, 2005 54628 Dec 31, 2006 53529 Dec 31, 2007 62537 Dec 31, 2008 58491 Dec 31, 2009 56701 Dec 31, 2010 55493 Dec 31, 2011 58341 Dec 31, 2012 62967 Dec 31, 2013 63383 Dec 31, 2014 66258 Dec 31, 2015 67481 Dec 31, 2016 71319 Dec 31, 2017 77067 Dec 31, 2018 84523

Vega-Lite specification:
{"config": {"background": "#ffffff", "title": {"anchor": "start", "color": "#000000", "font": "Benton Gothic Bold, sans-serif", "fontSize": 22, "fontWeight": "normal"}, "area": {"fill": "#82c6df"}, "line": {"stroke": "#82c6df", "strokeWidth": 2}, "rect": {"fill": "#82c6df"}, "bar": {"fill": "#82c6df"}, "point": {"color": "#82c6df", "size": 30}, "axis": {"labelFont": "Benton Gothic, sans-serif", "labelFontSize": 11.5, "labelFontWeight": "normal", "titleFont": "Benton Gothic Bold, sans-serif", "titleFontSize": 13, "titleFontWeight": "normal"}, "axisX": {"labelPadding": 4, "tickSize": 3}, "axisY": {"labelBaseline": "middle", "maxExtent": 45, "minExtent": 45, "tickSize": 2, "titleAlign": "left", "titleAngle": 0, "titleX": -45, "titleY": -11}, "legend": {"labelFont": "Benton Gothic, sans-serif", "labelFontSize": 11.5, "symbolType": "square", "titleFont": "Benton Gothic Bold, sans-serif", "titleFontSize": 13, "titleFontWeight": "normal"}, "range": {"category": ["#ec8431", "#829eb1", "#c89d29", "#3580b1", "#adc839", "#ab7fb4"], "diverging": ["#e68a4f", "#f4bb6a", "#f9e39c", "#dadfe2", "#a6b7c6", "#849eae"], "heatmap": ["#fbf2c7", "#f9e39c", "#f8d36e", "#f4bb6a", "#e68a4f", "#d15a40", "#ab4232"], "ordinal": ["#fbf2c7", "#f9e39c", "#f8d36e", "#f4bb6a", "#e68a4f", "#d15a40", "#ab4232"], "ramp": ["#fbf2c7", "#f9e39c", "#f8d36e", "#f4bb6a", "#e68a4f", "#d15a40", "#ab4232"]}}, "data": {"url": "data/8768.tsv"}, "mark": "area", "encoding": {"color": {"value": "#adc839"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Household income in current U.S. dollars"}, "field": "Household income in current U\\.S\\. dollars"}}, "title": ["Median household income in Utah from 1990", "to 2019 (in current U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}