delen/vistext huggingface dataset:
Chart description: The number of individuals under the age of majority in detention centers from 2008-2012 is quite high. This drops by over 100 people in year 2014 and doesn't go back to the previous high levels for the following 4 years.

Chart data: Year Number of individuals Dec 31, 2007 468 Dec 31, 2008 503 Dec 31, 2009 474 Dec 31, 2010 486 Dec 31, 2011 508 Dec 31, 2012 452 Dec 31, 2013 365 Dec 31, 2014 436 Dec 31, 2015 473 Dec 31, 2016 464 Dec 31, 2017 468 Dec 31, 2018 410

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/26736.tsv"}, "mark": "area", "encoding": {"color": {"value": "#386cb0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of individuals"}, "field": "Number of individuals"}}, "title": ["Number of individuals under the age of majority", "in youth detention centers in Italy from", "2008 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The price of a ticket has doubled over the 13 years shown on the graph. The increase year to year is not consistent.

Chart data: Year Average ticket price in U.S. dollars Dec 31, 2005 58.39 Dec 31, 2006 63.39 Dec 31, 2007 63.39 Dec 31, 2008 63.39 Dec 31, 2009 72.36 Dec 31, 2010 75.65 Dec 31, 2011 78.84 Dec 31, 2012 82.61 Dec 31, 2013 85.61 Dec 31, 2014 89.37 Dec 31, 2015 94.47 Dec 31, 2017 107.12 Dec 31, 2018 122.68

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/2673.tsv"}, "mark": "line", "encoding": {"color": {"value": "#aa4643"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Average ticket price in U.S. dollars"}, "field": "Average ticket price in U\\.S\\. dollars"}}, "title": ["Average ticket price for Green Bay Packers", "home games from 2006 to 2019 (in U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of fixed telephone lines in France has been in a steady increase from 2006.

Chart data: Year Number of lines in millions Dec 31, 2005 34.13 Dec 31, 2006 34.53 Dec 31, 2007 34.47 Dec 31, 2008 35.58 Dec 31, 2009 35.63 Dec 31, 2010 36.09 Dec 31, 2011 36.1 Dec 31, 2012 36.2 Dec 31, 2013 36.53 Dec 31, 2014 36.67 Dec 31, 2015 36.86 Dec 31, 2016 36.87

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/26747.tsv"}, "mark": "line", "encoding": {"color": {"value": "#30a2da"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Number of lines in millions"}, "field": "Number of lines in millions"}}, "title": ["Number of fixed telephone lines in France", "from 2006 to the first quarter of 2017 (in", "millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Anti-biotics and Anti-infectives saw the highest percentage of ADE's in US hospitals in 2014. Vaccines were the lowest percentage of ADE's in US hospitals in 2014.

Chart data: Percentage of all ADEs Response 0.216 Antibiotics and anti-infectives 0.144 Nonspecific ADE causes (drug type not specified) 0.135 Systemic agents 0.133 Hormones 0.131 Analgesics 0.1 Agents affecting blood constituents 0.081 Psychotropic agents 0.066 Cardiovascular drugs 0.049 Water, mineral and uric acid metabolism drugs 0.036 Sedatives or hypnotics 0.025 Anticonvulsants and anti-Parkinson drugs 0.019 CNS depressants and anesthetics 0.013 Smooth muscle and respiratory drugs 0.01 Central nervous system drugs 0.007 Atonomic nervous system drugs 0.004 GI system drugs 0.003 Skin, eye and mucous membrane drugs 0.001 Vaccines 0 Other specific drugs

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/26751.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#F06292"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Percentage of all ADEs"}, "field": "Percentage of all ADEs"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Response"}}, "title": ["Percentage of adverse drug event in U.S.", "hospitals that are attributed to select medications", "in 2014 , by drug type"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Antibiotics and anti-infectives are the leader cause of adverse effects in US hospitals in 2014, followed Non-specific ADE causes. Systemic agents, analgesics and hormones follow close. Anti-convulsant, vaccines, central nervous drugs and skin and eye medicine cause the least amount of side effects.

Chart data: Percentage of all ADEs Response 0.216 Antibiotics and anti-infectives 0.144 Nonspecific ADE causes (drug type not specified) 0.135 Systemic agents 0.133 Hormones 0.131 Analgesics 0.1 Agents affecting blood constituents 0.081 Psychotropic agents 0.066 Cardiovascular drugs 0.049 Water, mineral and uric acid metabolism drugs 0.036 Sedatives or hypnotics 0.025 Anticonvulsants and anti-Parkinson drugs 0.019 CNS depressants and anesthetics 0.013 Smooth muscle and respiratory drugs 0.01 Central nervous system drugs 0.007 Atonomic nervous system drugs 0.004 GI system drugs 0.003 Skin, eye and mucous membrane drugs 0.001 Vaccines 0 Other specific drugs

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/26751.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#F06292"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Percentage of all ADEs"}, "field": "Percentage of all ADEs"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Response"}}, "title": ["Percentage of adverse drug event in U.S.", "hospitals that are attributed to select medications", "in 2014 , by drug type"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Steve Largent received more yard compering with the others The difference is really high.

Chart data: Receiving yards Seattle Seahawks all-time receiving leaders 13089 Steve Largent 7620 Brian Blades 6563 Doug Baldwin 6445 Darrell Jackson 4859 Bobby Engram 4457 Joey Galloway 4413 Tyler Lockett 4151 John Williams 3567 Koren Robinson 3409 Sam McCullum 2347 Deion Branch 2342 Sherman Smith 2288 Mike Pritchard 2195 Golden Tate 2109 Jermaine Kearse 2048 Jimmy Graham 2034 Tommy Kane 1940 Dan Doornink 1911 Paul Skansi 1872 Daryl Turner

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/26752.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d98445"}, "x": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Receiving yards"}, "field": "Receiving yards"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Seattle Seahawks all-time receiving leaders"}}, "title": ["Seattle Seahawks all-time receiving leaders", "from 1976 to 2020 (in yards)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Trinidad and Tobago and Antigua & Barbuda invested considerably more on tourism than the other Caribbean countries, slightly less than 4 times the average of the others (by sight).

Chart data: Country Investment in billion U.S. dollars Bahamas 0.4 Trinidad and Tobago 0.4 Caribbean average 0.3 Aruba 0.2 Antigua and Barbuda 0.2 Martinique 0.1 St Lucia 0.07 St Kitts and Nevis 0.07 Bermuda 0.03 Grenada 0.03 Anguilla 0.01

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/26755.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bab0ac"}, "x": {"type": "nominal", "axis": {"labelAngle": -90}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"title": "Investment in billion U.S. dollars"}, "field": "Investment in billion U\\.S\\. dollars"}}, "title": ["Investment in travel and tourism in selected", "countries in the Caribbean in 2017 (in billion", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: 'Bahamas' and 'Trinidad and Tobago' are the most invested in travel and tourism, the least being 'Anguilla.' The 'Caribean' is the second place most invested in travel and tourism. The rest earned 0.2 billion or below in 2017.

Chart data: Country Investment in billion U.S. dollars Bahamas 0.4 Trinidad and Tobago 0.4 Caribbean average 0.3 Aruba 0.2 Antigua and Barbuda 0.2 Martinique 0.1 St Lucia 0.07 St Kitts and Nevis 0.07 Bermuda 0.03 Grenada 0.03 Anguilla 0.01

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/26755.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bab0ac"}, "x": {"type": "nominal", "axis": {"labelAngle": -90}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"title": "Investment in billion U.S. dollars"}, "field": "Investment in billion U\\.S\\. dollars"}}, "title": ["Investment in travel and tourism in selected", "countries in the Caribbean in 2017 (in billion", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There are large differences between the amounts stated for each Caribbean country in 2017, with no clear average. Anguilla barely registered on the chart and was the lowest of all the countries at approximately 0.01 billion USD.There are six countries in total that have an investment amount of 0.1 billion USD or less. Two countries (Bahamas and Trinidad and Tobago) share top spot with each having an investment amount of 0.4 billion USD.

Chart data: Country Investment in billion U.S. dollars Bahamas 0.4 Trinidad and Tobago 0.4 Caribbean average 0.3 Aruba 0.2 Antigua and Barbuda 0.2 Martinique 0.1 St Lucia 0.07 St Kitts and Nevis 0.07 Bermuda 0.03 Grenada 0.03 Anguilla 0.01

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/26755.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bab0ac"}, "x": {"type": "nominal", "axis": {"labelAngle": -90}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"title": "Investment in billion U.S. dollars"}, "field": "Investment in billion U\\.S\\. dollars"}}, "title": ["Investment in travel and tourism in selected", "countries in the Caribbean in 2017 (in billion", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The bar chart shows that the Bahamas and Trinidad/Tobago have the highest investment in travel and tourism compared to the lowest area of investment being Anguilla.

Chart data: Country Investment in billion U.S. dollars Bahamas 0.4 Trinidad and Tobago 0.4 Caribbean average 0.3 Aruba 0.2 Antigua and Barbuda 0.2 Martinique 0.1 St Lucia 0.07 St Kitts and Nevis 0.07 Bermuda 0.03 Grenada 0.03 Anguilla 0.01

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/26755.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bab0ac"}, "x": {"type": "nominal", "axis": {"labelAngle": -90}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"title": "Investment in billion U.S. dollars"}, "field": "Investment in billion U\\.S\\. dollars"}}, "title": ["Investment in travel and tourism in selected", "countries in the Caribbean in 2017 (in billion", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The chart shows that Ted Lyons won the most games for the Chicago White Sox at over 250 wins, with Red Faber a close second also with over 250 wins. Frank Smith won the least games for the team with just over 100 wins.

Chart data: Chicago White Sox all-time wins leaders Number of games won Ted Lyons 260 Red Faber 254 Ed Walsh 195 Billy Pierce 186 Wilbur Wood 163 Mark Buehrle 161 Doc White 159 Eddie Cicotte 156 Joe Horlen 113 Frank Smith 108

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/26758.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Chicago White Sox all-time wins leaders"}, "y": {"type": "quantitative", "axis": {"title": "Number of games won"}, "field": "Number of games won"}}, "title": ["Chicago White Sox all-time wins leaders", "as of October 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: One club in particular has a strong revenue stream, there are wide variations in income streams across the league,.

Chart data: Kit sponsorship revenue in million euros association football club 70 VfL Wolfsburg (Volkswagen) 45 FC Bayern Munich (Telekom) 35 Borussia Dortmund (Evonik)* 35 RB Leipzig (Red Bull) 20 FC Schalke 04 (Gazprom) 10 VfB Stuttgart (Mercedes-Benz-Bank)** 9 Borussia Mönchengladbach (Postbank) 8 SV Werder Bremen (Wiesenhof) 7.5 1. FC Köln (Rewe) 7 Eintracht Frankfurt (Indeed) 6 Bayer 04 Leverkusen (Barmenia) 5.5 TSG Hoffenheim (SAP) 4.2 FC Augsburg (WWK)*** 4 FSV Mainz 05 (Kömmerling) 3 SC Freiburg (Schwarzwaldmilch) 2.5 Union Berlin (Aroundtown) 2.5 Arminia Bielefeld (Schüco)

Vega-Lite specification:
{"config": {"background": "#333", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#1b9e77", "#d95f02", "#7570b3", "#e7298a", "#66a61e", "#e6ab02", "#a6761d", "#666666"]}}, "data": {"url": "data/2675.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#e6ab02"}, "x": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Kit sponsorship revenue in million euros"}, "field": "Kit sponsorship revenue in million euros"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "association football club"}}, "title": ["Kit sponsorship revenue of German Bundesliga", "clubs in 2020/21 (in million euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In 2018 Decathalon and Intersport held nearly 0.5 percent of the overall percentages of purchases, which is more than the other 8 stores combined. With decathlon holding 0.28 and Interaport 0.2. The other 8 stores held 0.05 or less.

Chart data: Percentage of purchases in value Response 0.29 Décathlon 0.2 Intersport 0.05 Go Sport 0.04 Nike 0.03 Sport 2000 0.02 Adidas 0.01 Amazon 0.01 Lidl 0.01 Vente-privee.com 0.01 Zalando

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/26768.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fed9a6"}, "x": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Percentage of purchases in value"}, "field": "Percentage of purchases in value"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}}, "title": ["Leading sports clothing and shoes retail", "stores used by French consumers for their", "sports purchases in France in 2018 , by sports", "stores"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The share of respondents (0.38) possessed the highest proportion of individuals saving for old age. Those who received primary education or less formed the lowest share of respondents (0.15) to be saving for old age. Younger people (15-24 years) are more likely to be saving for old age than those who are older (25+).

Chart data: Response Share of respondents Total 0.27 Men 0.28 In labor 0.29 Out of labor 0.24 Women 0.27 Young adults (15-24 years) 0.31 Adults (25 years and older) 0.26 Primary education or less 0.15 Secondary education or more 0.38 Poorest 40% (income) 0.19 Richest 60% (income) 0.33 Rural population 0.26

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/26770.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#4572a7"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Share of respondents"}, "field": "Share of respondents"}}, "title": ["Share of people saving for old age in Indonesia", "in 2017 , by type of population"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Largest share of people saving for old age in Indonesia in 2017 is in richest 60% and with secondary education or more. Lowest share of people saving for old age in Indonesia in 2017 is in poorest 40% and with primary education or less. Also saving is greater in groups that work then between people out of work.

Chart data: Response Share of respondents Total 0.27 Men 0.28 In labor 0.29 Out of labor 0.24 Women 0.27 Young adults (15-24 years) 0.31 Adults (25 years and older) 0.26 Primary education or less 0.15 Secondary education or more 0.38 Poorest 40% (income) 0.19 Richest 60% (income) 0.33 Rural population 0.26

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/26770.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#4572a7"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Share of respondents"}, "field": "Share of respondents"}}, "title": ["Share of people saving for old age in Indonesia", "in 2017 , by type of population"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The infant mortality rate in Pakistan between 2009 and 2019 has decreased. This decreasing rate is consistent and steady. The figure has gone from around 72 deaths per 1,000 live births in 2009 to around 56 deaths per 1,000 live births in 2019.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 72.1 Dec 31, 2009 70.4 Dec 31, 2010 68.7 Dec 31, 2011 67 Dec 31, 2012 65.4 Dec 31, 2013 63.7 Dec 31, 2014 62.1 Dec 31, 2015 60.5 Dec 31, 2016 58.8 Dec 31, 2017 57.2 Dec 31, 2018 55.7

Vega-Lite specification:
{"config": {"view": {"stroke": "transparent"}, "background": "transparent", "font": "Segoe UI", "header": {"titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleFontSize": 16, "titleColor": "#252423", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C"}, "axis": {"ticks": false, "grid": false, "domain": false, "labelColor": "#605E5C", "labelFontSize": 12, "titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleColor": "#252423", "titleFontSize": 16, "titleFontWeight": "normal"}, "axisQuantitative": {"tickCount": 3, "grid": true, "gridColor": "#C8C6C4", "gridDash": [1, 5], "labelFlush": false}, "axisBand": {"tickExtra": true}, "axisX": {"labelPadding": 5}, "axisY": {"labelPadding": 10}, "bar": {"fill": "#118DFF"}, "line": {"stroke": "#118DFF", "strokeWidth": 3, "strokeCap": "round", "strokeJoin": "round"}, "text": {"font": "Segoe UI", "fontSize": 12, "fill": "#605E5C"}, "area": {"fill": "#118DFF", "line": true, "opacity": 0.6}, "rect": {"fill": "#118DFF"}, "point": {"fill": "#118DFF", "filled": true, "size": 75}, "legend": {"titleFont": "Segoe UI", "titleFontWeight": "bold", "titleColor": "#605E5C", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C", "symbolType": "circle", "symbolSize": 75}, "range": {"category": ["#118DFF", "#12239E", "#E66C37", "#6B007B", "#E044A7", "#744EC2", "#D9B300", "#D64550"], "diverging": ["#DEEFFF", "#118DFF"], "heatmap": ["#DEEFFF", "#118DFF"], "ordinal": ["#DEEFFF", "#c7e4ff", "#b0d9ff", "#9aceff", "#83c3ff", "#6cb9ff", "#55aeff", "#3fa3ff", "#2898ff", "#118DFF"]}}, "data": {"url": "data/2677.tsv"}, "mark": "line", "encoding": {"color": {"value": "#D64550"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Deaths per 1,000 live births"}, "field": "Deaths per 1,000 live births"}}, "title": ["Pakistan : Infant mortality rate from 2009", "to 2019 (in deaths per 1,000 live births)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: That in 2018  the text messages are going down then go up a lot after that.

Chart data: Year Number of SMS mesaages in millions Dec 31, 2008 23287.2 Dec 31, 2009 27714.3 Dec 31, 2010 28947 Dec 31, 2011 24052.9 Dec 31, 2012 17893.4 Dec 31, 2013 13508 Dec 31, 2014 11447.9 Dec 31, 2015 9780.3 Dec 31, 2016 8487.3 Dec 31, 2017 7179.1 Dec 31, 2018 70334

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/26783.tsv"}, "mark": "line", "encoding": {"color": {"value": "#a99cbc"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of SMS mesaages in millions"}, "field": "Number of SMS mesaages in millions"}}, "title": ["Number of sent and received SMS messages", "in Singapore from 2009 to 2019 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Infant mortality rate in the Netherlands has significantly improved over the last century with rates around 200 times lower than at their peak.

Chart data: Year Deaths per 1,000 live births Dec 31, 1839 164 Dec 31, 1844 174 Dec 31, 1849 191.6 Dec 31, 1854 189.8 Dec 31, 1859 204.4 Dec 31, 1864 196.8 Dec 31, 1869 202.6 Dec 31, 1874 211.4 Dec 31, 1879 197.2 Dec 31, 1884 181.2 Dec 31, 1889 175 Dec 31, 1894 165.2 Dec 31, 1899 151.2 Dec 31, 1904 136.4 Dec 31, 1909 114.2 Dec 31, 1914 99.4 Dec 31, 1919 90.2 Dec 31, 1924 69.4 Dec 31, 1929 56.4 Dec 31, 1934 44.2 Dec 31, 1939 37.4 Dec 31, 1944 50 Dec 31, 1949 30.8 Dec 31, 1954 23 Dec 31, 1959 18 Dec 31, 1964 16 Dec 31, 1969 13 Dec 31, 1974 11 Dec 31, 1979 9 Dec 31, 1984 8 Dec 31, 1989 7 Dec 31, 1994 6 Dec 31, 1999 5 Dec 31, 2004 5 Dec 31, 2009 4 Dec 31, 2014 3 Dec 31, 2019 3

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/26787.tsv"}, "mark": "area", "encoding": {"color": {"value": "#e5ae38"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Deaths per 1,000 live births"}, "field": "Deaths per 1,000 live births"}}, "title": ["Infant mortality rate (under one year old)", "in the Netherlands from 1840 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The infant mortality rate in the Netherlands has drastically fallen from 1840 to 2020.

Chart data: Year Deaths per 1,000 live births Dec 31, 1839 164 Dec 31, 1844 174 Dec 31, 1849 191.6 Dec 31, 1854 189.8 Dec 31, 1859 204.4 Dec 31, 1864 196.8 Dec 31, 1869 202.6 Dec 31, 1874 211.4 Dec 31, 1879 197.2 Dec 31, 1884 181.2 Dec 31, 1889 175 Dec 31, 1894 165.2 Dec 31, 1899 151.2 Dec 31, 1904 136.4 Dec 31, 1909 114.2 Dec 31, 1914 99.4 Dec 31, 1919 90.2 Dec 31, 1924 69.4 Dec 31, 1929 56.4 Dec 31, 1934 44.2 Dec 31, 1939 37.4 Dec 31, 1944 50 Dec 31, 1949 30.8 Dec 31, 1954 23 Dec 31, 1959 18 Dec 31, 1964 16 Dec 31, 1969 13 Dec 31, 1974 11 Dec 31, 1979 9 Dec 31, 1984 8 Dec 31, 1989 7 Dec 31, 1994 6 Dec 31, 1999 5 Dec 31, 2004 5 Dec 31, 2009 4 Dec 31, 2014 3 Dec 31, 2019 3

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/26787.tsv"}, "mark": "area", "encoding": {"color": {"value": "#e5ae38"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Deaths per 1,000 live births"}, "field": "Deaths per 1,000 live births"}}, "title": ["Infant mortality rate (under one year old)", "in the Netherlands from 1840 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The infant mortality rate in Afghanistan decreases year after year, decreasing from 250 to under 50. Infant mortality rate decrease each year.

Chart data: Year Deaths per 1,000 live births Dec 31, 1954 276 Dec 31, 1959 254 Dec 31, 1964 230 Dec 31, 1969 211 Dec 31, 1974 192 Dec 31, 1979 172 Dec 31, 1984 150 Dec 31, 1989 129 Dec 31, 1994 110 Dec 31, 1999 96 Dec 31, 2004 85 Dec 31, 2009 72 Dec 31, 2014 60 Dec 31, 2019 52

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/26791.tsv"}, "mark": "area", "encoding": {"color": {"value": "#8b8b8b"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Deaths per 1,000 live births"}, "field": "Deaths per 1,000 live births"}}, "title": ["Infant mortality rate (under one year old)", "in Afghanistan from 1955 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The E-Government Development Index (EGDI) in Russia has shown notable growth from 2003 to 2018, in fact, the index has almost doubled in those years. The index decreased slowly between 2005-2010, but rapid growth happened between 2010-2012.

Chart data: Year Index score Dec 31, 2002 0.44 Dec 31, 2003 0.5 Dec 31, 2004 0.53 Dec 31, 2007 0.51 Dec 31, 2009 0.51 Dec 31, 2011 0.74 Dec 31, 2013 0.73 Dec 31, 2015 0.72 Dec 31, 2017 0.8 Dec 31, 2019 0.82

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/26794.tsv"}, "mark": "area", "encoding": {"color": {"value": "#b3cde3"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Index score"}, "field": "Index score"}}, "title": ["E-Government Development Index (EGDI) in", "Russia from 2003 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The biggiest sector sponsoring tennis professionals is the Clothing and Accessories sector, followed closely by Sports Equipment. Retail has the least amount of sponsors. Probably correlates to how easy it is to produce, then sell merchandise with the tennis professionals name/brand.

Chart data: Number of sponsorship deals sector 69 Clothing & Accessories 40 Sports Equipment 17 Automotive 17 Financial Services 17 Consumer Goods & Services 12 Beverages 10 Travel 9 Food 7 Telecommunications 5 Industrial Goods & Services 5 Media 4 Retail

Vega-Lite specification:
{"config": {"view": {"stroke": "transparent"}, "background": "transparent", "font": "Segoe UI", "header": {"titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleFontSize": 16, "titleColor": "#252423", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C"}, "axis": {"ticks": false, "grid": false, "domain": false, "labelColor": "#605E5C", "labelFontSize": 12, "titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleColor": "#252423", "titleFontSize": 16, "titleFontWeight": "normal"}, "axisQuantitative": {"tickCount": 3, "grid": true, "gridColor": "#C8C6C4", "gridDash": [1, 5], "labelFlush": false}, "axisBand": {"tickExtra": true}, "axisX": {"labelPadding": 5}, "axisY": {"labelPadding": 10}, "bar": {"fill": "#118DFF"}, "line": {"stroke": "#118DFF", "strokeWidth": 3, "strokeCap": "round", "strokeJoin": "round"}, "text": {"font": "Segoe UI", "fontSize": 12, "fill": "#605E5C"}, "area": {"fill": "#118DFF", "line": true, "opacity": 0.6}, "rect": {"fill": "#118DFF"}, "point": {"fill": "#118DFF", "filled": true, "size": 75}, "legend": {"titleFont": "Segoe UI", "titleFontWeight": "bold", "titleColor": "#605E5C", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C", "symbolType": "circle", "symbolSize": 75}, "range": {"category": ["#118DFF", "#12239E", "#E66C37", "#6B007B", "#E044A7", "#744EC2", "#D9B300", "#D64550"], "diverging": ["#DEEFFF", "#118DFF"], "heatmap": ["#DEEFFF", "#118DFF"], "ordinal": ["#DEEFFF", "#c7e4ff", "#b0d9ff", "#9aceff", "#83c3ff", "#6cb9ff", "#55aeff", "#3fa3ff", "#2898ff", "#118DFF"]}}, "data": {"url": "data/26802.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#6B007B"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Number of sponsorship deals"}, "field": "Number of sponsorship deals"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "sector"}}, "title": ["Number of sponsorship deals of professional", "tennis players worldwide as of July 2019", ", by sector"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Canada, Mexico and Japan together accounted for over half of all overnight travel to the US. The United Kingdom was the only other country accounting for more than 5% of the overnight travel.

Chart data: Country Shares in overnight travel Canada 0.287 Mexico 0.203 Japan 0.099 United Kingdom 0.092 Germany 0.035 France 0.021 Brazil 0.014 South Korea 0.013 Italy 0.012 Venezuela 0.011 Netherlands 0.011 Australia 0.011 Argentina 0.01 Taiwan 0.009 China** 0.009

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/26803.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ce6dbd"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Shares in overnight travel"}, "field": "Shares in overnight travel"}}, "title": ["Shares of overnight travel from other countries", "to the U.S. in 2000"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The chart shows that during the period of 1979 to after 2010 the number of medicare hospital facilities in the US have gradually decreased. There were nearly 7000 facilities in 1970. Between 1970 and 2010 number of facilities fell be nearly a 1000 down to just over 6000.

Chart data: Year Number of facilities Dec 31, 1966 6829 Dec 31, 1969 6779 Dec 31, 1974 6770 Dec 31, 1979 6736 Dec 31, 1980 6749 Dec 31, 1984 6710 Dec 31, 1989 6522 Dec 31, 1994 6376 Dec 31, 1999 6031 Dec 31, 2004 6180 Dec 31, 2005 6177 Dec 31, 2006 6163 Dec 31, 2007 6171 Dec 31, 2008 6172 Dec 31, 2009 6169 Dec 31, 2010 6172 Dec 31, 2011 6170 Dec 31, 2012 6164 Dec 31, 2013 6142 Dec 31, 2014 6140 Dec 31, 2015 6146 Dec 31, 2016 6123 Dec 31, 2017 6072

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/26807.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ab5787"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Number of facilities"}, "field": "Number of facilities"}}, "title": ["Number of Medicare hospital facilities in", "the U.S. from 1967 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The most common concern in the study group was financial hardship. Over half of the respondents were concerned about financial hardship or poor health in retirement. Very few respondents had no concerns or did not know about any concerns.

Chart data: Fears and concerns Share of respondents Financial hardship 0.57 Poor health 0.54 Not having enough money for good healthcare provision 0.46 Not being able to realise hopes and aspirations 0.31 Loneliness 0.28 Loss of memory 0.27 Having to work for longer than I want to 0.27 Boredom 0.25 Not being able to work 0.24 The move from 'active' to 'passive' retirement 0.17 Discrimination 0.08 None of these 0.03 Don't know 0.02

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/26829.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Fears and concerns"}, "y": {"type": "quantitative", "axis": {"title": "Share of respondents"}, "field": "Share of respondents"}}, "title": ["Many people have concerns or fears for their", "retirement . Which , if any , of the following", "concerns or fears do you have ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}