delen/vistext huggingface dataset:
Chart description: Mainland China has the highest response rate compared to all the other countries in the chart.

Chart data: Share of millionaires Response 0.3 Mainland China 0.13 Russia 0.04 USA 0.03 Japan 0.03 Indonesia 0.03 Taiwan 0.02 Thailand 0.02 Saudi Arabia 0.02 Hong Kong 0.02 Kuwait

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/15960.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f2f2f2"}, "x": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Share of millionaires"}, "field": "Share of millionaires"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Response"}}, "title": ["Luxury goods duty free shopping locations", "for millionaires in China as of 2015"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Fashion and clothing has the highest number of retail chains. Car Parts and accessories is shown as having the least number of retail  chains.

Chart data: Number of retail chains Sector 32 Fashion & Clothing 16 Furniture & Decoration 16 Consumer Electronics 14 Personal Care 12 Food 11 Footwear & Leather 10 Home Ware 9 DIY & Gardening 9 Toys & Games 8 Sport & Leisure 7 Petrol 7 Baby Ware 6 Books & Magazines 5 Telecom 4 Optical 2 Pet Care 2 Jewelry & Watches 0 Car Parts & Accessories

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/15980.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#DCDCDC"}, "x": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Number of retail chains"}, "field": "Number of retail chains"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Sector"}}, "title": ["Number of retail chains in Ireland in 2020", ", by sector"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between 1990 and 2000, Phthalic anhydride production increased steadily, to a peak in 2000. 2000 to 2005 saw a steady reduction in Phthalic anhydride production and 2005 to 2010 shows an even steeper decline. From 2010 to 2020, Phthalic anhydride production has plateaued somewhat but the overall trend is negative. Average Phthalic anhydride production is between 250 and 300 thousand metric tonsThere has been a slight increase in production from 2018 to 2020.

Chart data: Year Production in thousand metric tons Dec 31, 1989 423 Dec 31, 1999 475 Dec 31, 2004 425 Dec 31, 2009 290 Dec 31, 2010 295 Dec 31, 2011 285 Dec 31, 2012 280 Dec 31, 2013 280 Dec 31, 2014 285 Dec 31, 2015 265 Dec 31, 2016 255 Dec 31, 2017 250 Dec 31, 2018 255

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/15983.tsv"}, "mark": "line", "encoding": {"color": {"value": "#6793a6"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Production in thousand metric tons"}, "field": "Production in thousand metric tons"}}, "title": ["Phthalic anhydride production in the United", "States from 1990 to 2019 (in 1,000 metric", "tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The most most expensive transfers have taken place in recent years.

Chart data: Transfer fee in million euros Player 85.5 Matthijs de Ligt (19/20) 84.65 Virgil van Dijk (17/18) 75 Frenkie de Jong (19/20) 40 Marc Overmars (00/01) 35 Jasper Cillessen (19/20) 35 Arjen Robben (07/08) 34 Memphis Depay (15/16) 30.7 Robin van Persie (12/13) 28.5 Ruud van Nistelrooy (01/02) 27.5 Georginio Wijnaldum (16/17)

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/15986.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#b9cc98"}, "x": {"type": "quantitative", "axis": {"title": "Transfer fee in million euros"}, "field": "Transfer fee in million euros"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Player"}}, "title": ["Highest all-time transfer fees of Dutch", "football players as of September 2019 (in", "million euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The largest occupation by employees is a retail salesperson being over 4,000,000. The least popular is Elementary school teachers and truck drivers with under 2,000,000.

Chart data: Number of employees profession 4209500 Retail salespersons 3439380 Cashiers 2815240 Office clerks, general 2695740 Combined food preparation and serving workers, including fast food 2583770 Registered nurses 2302070 Waiters and waitresses 2195860 Customer service representatives 2135790 Laborers and freight, stock, and material movers, hand 2090400 Janitors and cleaners, except maids and housekeeping cleaners 1864410 Stock clerks and order fillers 1797670 Secretaries, except legal, medical, and executive 1757870 Bookkeeping, accounting, and auditing clerks 1689680 General and operations managers 1550930 Truck drivers, heavy and tractor-trailer 1544300 Elementary school teachers, except special education

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/15989.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#de9ed6"}, "x": {"type": "quantitative", "axis": {"title": "Number of employees"}, "field": "Number of employees"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "profession"}}, "title": ["Largest occupations by number of employees", "in May 2009"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Retail salespersons have the greatest number of employees during May 2009. Truck drivers had the lowest amount of employees during May 2009. Retail salespersons had over double the amount of employees as Book keeping, Elementary school teachers, general and operations manager, stock clerks, truck drivers and secretaries.

Chart data: Number of employees profession 4209500 Retail salespersons 3439380 Cashiers 2815240 Office clerks, general 2695740 Combined food preparation and serving workers, including fast food 2583770 Registered nurses 2302070 Waiters and waitresses 2195860 Customer service representatives 2135790 Laborers and freight, stock, and material movers, hand 2090400 Janitors and cleaners, except maids and housekeeping cleaners 1864410 Stock clerks and order fillers 1797670 Secretaries, except legal, medical, and executive 1757870 Bookkeeping, accounting, and auditing clerks 1689680 General and operations managers 1550930 Truck drivers, heavy and tractor-trailer 1544300 Elementary school teachers, except special education

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/15989.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#de9ed6"}, "x": {"type": "quantitative", "axis": {"title": "Number of employees"}, "field": "Number of employees"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "profession"}}, "title": ["Largest occupations by number of employees", "in May 2009"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Malware appears to be more common in India and turkey.

Chart data: Encounter and detection rate Country 0.326 India 0.314 Turkey 0.294 Brazil 0.249 Russia 0.238 Mexico 0.212 Worldwide 0.211 China 0.153 France 0.13 Germany 0.12 United States 0.115 United Kingdom

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/15992.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ad494a"}, "x": {"type": "quantitative", "axis": {"title": "Encounter and detection rate"}, "field": "Encounter and detection rate"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}}, "title": ["Encounter rate trends for the locations", "with the most computers reporting malware", "detections as of 2nd quarter 2016"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The average Major League Baseball ticket has risen from around 22 US dollars in 2006 to around 34 US dollars in 2020. The average ticket price rose significantly between 2007 and 2009. After 2009 the price only rose a small amount (around 1 US dollar) until 2014 where the average price rose sharply. The average cost of a ticket has risen roughly 2 dollars a year from 2014 until 2020.

Chart data: Year Ticket price in U.S. dollars Dec 31, 2005 22.21 Dec 31, 2006 22.77 Dec 31, 2007 25.43 Dec 31, 2008 26.64 Dec 31, 2009 26.74 Dec 31, 2010 26.91 Dec 31, 2011 26.98 Dec 31, 2012 27.48 Dec 31, 2013 27.93 Dec 31, 2014 29.94 Dec 31, 2015 31 Dec 31, 2017 32.44 Dec 31, 2018 32.99 Dec 31, 2019 34.04

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/1599.tsv"}, "mark": "area", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Ticket price in U.S. dollars"}, "field": "Ticket price in U\\.S\\. dollars"}}, "title": ["Major League Baseball average ticket price", "from 2006 to 2020 (in U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: We see a raise in the ticket prices across the years. From 2006 to 2010 we see a sharp raise. Between 2010 and 2014 prices were relatively the same. 2014 onwards we see another more or less linear raise.

Chart data: Year Ticket price in U.S. dollars Dec 31, 2005 22.21 Dec 31, 2006 22.77 Dec 31, 2007 25.43 Dec 31, 2008 26.64 Dec 31, 2009 26.74 Dec 31, 2010 26.91 Dec 31, 2011 26.98 Dec 31, 2012 27.48 Dec 31, 2013 27.93 Dec 31, 2014 29.94 Dec 31, 2015 31 Dec 31, 2017 32.44 Dec 31, 2018 32.99 Dec 31, 2019 34.04

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/1599.tsv"}, "mark": "area", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Ticket price in U.S. dollars"}, "field": "Ticket price in U\\.S\\. dollars"}}, "title": ["Major League Baseball average ticket price", "from 2006 to 2020 (in U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The highest number of cars were sold in 2010, 2013 and 2017 around 9,000. The lowest number of cars were sold in 2016 and 2015 around 6,000.

Chart data: Year Units sold Dec 31, 2009 9040 Dec 31, 2010 8000 Dec 31, 2011 7393 Dec 31, 2012 8682 Dec 31, 2013 7042 Dec 31, 2014 6280 Dec 31, 2015 6156 Dec 31, 2016 8816 Dec 31, 2017 7961 Dec 31, 2018 6925

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/16003.tsv"}, "mark": "area", "encoding": {"color": {"value": "#66a61e"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Units sold"}, "field": "Units sold"}}, "title": ["Number of Toyota cars sold in Austria from", "2010 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of publicly owned hospitals decreased over the 5 years from just above 1,100 to just below 800. Although the data fluctuated slightly, on the whole it was more or less completely on a downward trajectory.

Chart data: Year Number of publicly owned hospitals Dec 31, 1999 1058 Dec 31, 2000 1043 Dec 31, 2001 1055 Dec 31, 2002 1025 Dec 31, 2003 1014 Dec 31, 2004 979 Dec 31, 2005 946 Dec 31, 2006 896 Dec 31, 2007 885 Dec 31, 2008 872 Dec 31, 2009 852 Dec 31, 2010 854 Dec 31, 2011 833 Dec 31, 2012 825 Dec 31, 2013 818 Dec 31, 2014 806 Dec 31, 2015 793 Dec 31, 2016 785

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/16011.tsv"}, "mark": "line", "encoding": {"color": {"value": "#1696d2"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Number of publicly owned hospitals"}, "field": "Number of publicly owned hospitals"}}, "title": ["Number of publicly owned hospitals in Germany", "from 2000 to 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of public hospitals has declined from 2000 to 2017. The decline has been steady with no sharp reduction in numbers.

Chart data: Year Number of publicly owned hospitals Dec 31, 1999 1058 Dec 31, 2000 1043 Dec 31, 2001 1055 Dec 31, 2002 1025 Dec 31, 2003 1014 Dec 31, 2004 979 Dec 31, 2005 946 Dec 31, 2006 896 Dec 31, 2007 885 Dec 31, 2008 872 Dec 31, 2009 852 Dec 31, 2010 854 Dec 31, 2011 833 Dec 31, 2012 825 Dec 31, 2013 818 Dec 31, 2014 806 Dec 31, 2015 793 Dec 31, 2016 785

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/16011.tsv"}, "mark": "line", "encoding": {"color": {"value": "#1696d2"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Number of publicly owned hospitals"}, "field": "Number of publicly owned hospitals"}}, "title": ["Number of publicly owned hospitals in Germany", "from 2000 to 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of publicly owned Hospitals in Germany been in decline from 2015 to 2017.

Chart data: Year Number of publicly owned hospitals Dec 31, 1999 1058 Dec 31, 2000 1043 Dec 31, 2001 1055 Dec 31, 2002 1025 Dec 31, 2003 1014 Dec 31, 2004 979 Dec 31, 2005 946 Dec 31, 2006 896 Dec 31, 2007 885 Dec 31, 2008 872 Dec 31, 2009 852 Dec 31, 2010 854 Dec 31, 2011 833 Dec 31, 2012 825 Dec 31, 2013 818 Dec 31, 2014 806 Dec 31, 2015 793 Dec 31, 2016 785

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/16011.tsv"}, "mark": "line", "encoding": {"color": {"value": "#1696d2"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Number of publicly owned hospitals"}, "field": "Number of publicly owned hospitals"}}, "title": ["Number of publicly owned hospitals in Germany", "from 2000 to 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a sharp decrease in Michigan GDP in 2009.  The greatest increase in Michigan GDP was in  2010. Annual percentage GDP for Michigan has been relatively steady from 2011 to 2019.

Chart data: Year Percent change compared to preceding period Dec 31, 1999 0.021 Dec 31, 2000 −0.033 Dec 31, 2001 0.027 Dec 31, 2002 0.02 Dec 31, 2003 0.001 Dec 31, 2004 0.015 Dec 31, 2005 −0.017 Dec 31, 2006 −0.005 Dec 31, 2007 −0.055 Dec 31, 2008 −0.088 Dec 31, 2009 0.055 Dec 31, 2010 0.026 Dec 31, 2011 0.018 Dec 31, 2012 0.013 Dec 31, 2013 0.017 Dec 31, 2014 0.025 Dec 31, 2015 0.022 Dec 31, 2016 0.015 Dec 31, 2017 0.025 Dec 31, 2018 0.007

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/16012.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ab7fb4"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Percent change compared to preceding period"}, "field": "Percent change compared to preceding period"}}, "title": ["Annual percent change of the real GDP in", "Michigan from 2000 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Life expectancy (from birth) in Italy has increased from between 20 and 40 to over 80 in the years between 1870 and 2020.  It is not a straight line up, there are two dips in the upwards line between 1920 and 1960.

Chart data: Year Life expectancy in years Dec 31, 1869 29.69 Dec 31, 1874 30.81 Dec 31, 1879 33.9 Dec 31, 1884 35.42 Dec 31, 1889 37.11 Dec 31, 1894 39.32 Dec 31, 1899 42.33 Dec 31, 1904 43.61 Dec 31, 1909 45.03 Dec 31, 1914 46.89 Dec 31, 1919 38.04 Dec 31, 1924 50.71 Dec 31, 1929 52.74 Dec 31, 1934 55.78 Dec 31, 1939 56.59 Dec 31, 1944 52.68 Dec 31, 1949 62.7 Dec 31, 1954 66.52 Dec 31, 1959 68.44 Dec 31, 1964 69.69 Dec 31, 1969 70.94 Dec 31, 1974 72.22 Dec 31, 1979 73.55 Dec 31, 1984 74.88 Dec 31, 1989 76.38 Dec 31, 1994 77.47 Dec 31, 1999 78.8 Dec 31, 2004 80.29 Dec 31, 2009 81.51 Dec 31, 2014 82.36 Dec 31, 2019 83.28

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/16022.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Life expectancy in years"}, "field": "Life expectancy in years"}}, "title": ["Life expectancy (from birth) in Italy ,", "from 1870 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Per capita personal income in Colorado has increased between 2000 and 20192019 is the year with the highest per capita personal income in Colorado.

Chart data: Income in U.S. dollars leap year 61157 '19 58896 '18 55604 '17 52475 '16 52254 '15 50711 '14 47311 '13 45669 '12 43575 '11 40689 '10 39982 '09 42689 '08 42024 '07 40140 '06 37841 '05 35870 '04 34935 '03 34608 '02 35023 '01 34187 '00

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/16028.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#0570b0"}, "x": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Income in U.S. dollars"}, "field": "Income in U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "leap year"}}, "title": ["Per capita personal income in Colorado from", "2000 to 2019 (in current U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The best and the worst tourists are The Americans and the Australians respectively. British and Canadian tourists are perceived in the same way.

Chart data: Share of respondents Response 0.2 United States 0.15 China 0.14 France 0.12 Japan 0.11 Russia 0.09 Korea 0.09 India 0.08 Germany 0.07 Spain 0.05 Britain 0.05 Canada 0.04 Italy 0.03 The Netherlands 0.02 Ireland 0.02 Switzerland 0.02 Australia

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/16030.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#6B007B"}, "x": {"type": "quantitative", "axis": {"title": "Share of respondents"}, "field": "Share of respondents"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Response"}}, "title": ["In your opinion , which is the country with", "the worst tourists ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between 2007 and 2020 the costs have more than doubled, from 4billion to 10billion. There seems to be a trend for spending to plateau for 2 years before being increased by 1 billion between 2007 and 2012. The biggest increase in costs are between 2016 and 2018 moving from 7billion to 9billion without a period of stabilisation.

Chart data: Year Medical costs in billion U.S. dollars Dec 31, 2006 4 Dec 31, 2007 4 Dec 31, 2008 4 Dec 31, 2009 5 Dec 31, 2010 5 Dec 31, 2011 5 Dec 31, 2012 6 Dec 31, 2013 6 Dec 31, 2014 7 Dec 31, 2015 7 Dec 31, 2016 8 Dec 31, 2017 9 Dec 31, 2018 9 Dec 31, 2019 10

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/16033.tsv"}, "mark": "line", "encoding": {"color": {"value": "#F4B400"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Medical costs in billion U.S. dollars"}, "field": "Medical costs in billion U\\.S\\. dollars"}}, "title": ["Total U.S. medical costs for type 1 diabetes", "from 2007 to 2020 (in billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: It can be seen that more 'alternative' forms of news are less important - such as celebrity, sports, fun. More traditional types of news are almost doubly of interest to the 'alternative' formats. News from within the person's country accounts for 3 of the 4 most popular types of news.

Chart data: Response Share of respondents News about the country 0.57 Local news about my town or city 0.52 News about country's politics 0.47 International news 0.46 News about the economy 0.41 News about my region 0.28 Health news 0.28 Science and technology 0.28 Sports news 0.21 Business and financial news 0.19 Fun/weird news 0.17 Education news 0.15 Entertainment and celebrity news 0.13 Arts and culture news 0.1

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/16034.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#6b6ecf"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Share of respondents"}, "field": "Share of respondents"}}, "title": ["Which of the following types of news is", "most important to you ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The VR game with the highest revenue in 2017 was a tie between Arizona Sunshine and Fallout 4 VR, at around $4750. The game with the lowest revenue was Gorn, at around $1300. Three games achieve revenue of more than $4000 in 2017 and three less than $2000.

Chart data: Revenue in thousand U.S. dollars Title (release date) 4731.12 Fallout 4 VR (December 2017) 4721.4 Arizona Sunshine (December 2016) 4283.32 Raw Data (October 2017) 4025.36 Tilt Brush (April 2016) 3416.94 Job Simulator (October 2016) 2803.64 Audioshield (April 2016) 2561.48 SUPERHOT VR (July 2017) 2409.38 Onward (August 2016) 2372.87 Space Pirate Trainer (October 2017) 1839.9 Rick and Morty: Virtual Rick-ality (April 2017) 1557.58 Hot Dogs, Horsehoes, & Hand Grenades (April 2016) 1392.08 Gorn (July 2017)

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/16052.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#e7969c"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Revenue in thousand U.S. dollars"}, "field": "Revenue in thousand U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Title (release date)"}}, "title": ["Estimated revenue of platinum tier VR games", "sold on Steam in 2017 (in 1,000 U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The EDGI is lowest in Haiti and highest in Uruguay.

Chart data: Index score Country 0.79 Uruguay 0.74 Chile 0.73 Argentina 0.73 Brazil 0.7 Costa Rica 0.69 Colombia 0.68 Mexico 0.65 Peru 0.61 Ecuador 0.61 Panama 0.57 Dominican Rep. 0.55 El Slavador 0.53 Venezuela 0.45 Honduras 0.41 Cuba 0.3 Haiti

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/16055.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f4cae4"}, "x": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Index score"}, "field": "Index score"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}}, "title": ["E-Government Development Index (EGDI) in", "selected Latin American countries in 2018", "(index rating)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The cost of trips is rising steadily over the years. Cost of trips only saw a change around 2009 when costs started to get higher. When prices have reached higher levels there has been a small dip in cost of trips before it rose higher again.

Chart data: Year Expenditure per person and per trip in euros Dec 31, 1999 792 Dec 31, 2008 820 Dec 31, 2009 845 Dec 31, 2010 868 Dec 31, 2011 914 Dec 31, 2012 906 Dec 31, 2013 958 Dec 31, 2014 954 Dec 31, 2015 983 Dec 31, 2016 1054 Dec 31, 2017 1017 Dec 31, 2018 1033

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/16056.tsv"}, "mark": "area", "encoding": {"color": {"value": "#f0027f"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Expenditure per person and per trip in euros"}, "field": "Expenditure per person and per trip in euros"}}, "title": ["Average travel expenditure of Germans per", "person and per trip from 2000 to 2019 (in", "euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The peak U.S. petroleum imports from the Persian Gulf occurred at approximately 0.24 of the total petroleum imports in 2002. The lowest proportion of U.S. petroleum imports from the Persian Gulf occurred in 2019 at approximately 0.1.

Chart data: Year Imports from the Persian Gulf Dec 31, 1999 0.217 Dec 31, 2000 0.233 Dec 31, 2001 0.197 Dec 31, 2002 0.204 Dec 31, 2003 0.19 Dec 31, 2004 0.17 Dec 31, 2005 0.161 Dec 31, 2006 0.161 Dec 31, 2007 0.184 Dec 31, 2008 0.144 Dec 31, 2009 0.145 Dec 31, 2010 0.163 Dec 31, 2011 0.203 Dec 31, 2012 0.204 Dec 31, 2013 0.203 Dec 31, 2014 0.159 Dec 31, 2015 0.176 Dec 31, 2016 0.172 Dec 31, 2017 0.159 Dec 31, 2018 0.106

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/16063.tsv"}, "mark": "area", "encoding": {"color": {"value": "#b96db8"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Imports from the Persian Gulf"}, "field": "Imports from the Persian Gulf"}}, "title": ["U.S. petroleum imports from the Persian", "Gulf as a share of total imports between", "2000 and 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: One pattern in how it managed to go through a period of dipping and then rising again...showing that there was a rush for loans followed by a relatively short quiet period before a mad rush and there was an increase ind demand.

Chart data: Year Loans in trillion U.S. dollars Dec 31, 1999 1.05 Dec 31, 2000 0.98 Dec 31, 2001 0.91 Dec 31, 2002 0.87 Dec 31, 2003 0.91 Dec 31, 2004 1.02 Dec 31, 2005 1.14 Dec 31, 2006 1.37 Dec 31, 2007 1.42 Dec 31, 2008 1.15 Dec 31, 2009 1.12 Dec 31, 2010 1.28 Dec 31, 2011 1.44 Dec 31, 2012 1.51 Dec 31, 2013 1.65 Dec 31, 2014 1.77 Dec 31, 2015 1.86 Dec 31, 2016 1.94 Dec 31, 2017 2.12 Dec 31, 2018 2.16

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/16064.tsv"}, "mark": "line", "encoding": {"color": {"value": "#6B007B"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Loans in trillion U.S. dollars"}, "field": "Loans in trillion U\\.S\\. dollars"}}, "title": ["Value of commercial and industrial loans", "granted by FDIC-insured commercial banks", "in the United States from 2000 to 2019 (in", "trillion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The US have doubled their loan values from 1 to 2 trillion in 15 years from 2000 to 2015.

Chart data: Year Loans in trillion U.S. dollars Dec 31, 1999 1.05 Dec 31, 2000 0.98 Dec 31, 2001 0.91 Dec 31, 2002 0.87 Dec 31, 2003 0.91 Dec 31, 2004 1.02 Dec 31, 2005 1.14 Dec 31, 2006 1.37 Dec 31, 2007 1.42 Dec 31, 2008 1.15 Dec 31, 2009 1.12 Dec 31, 2010 1.28 Dec 31, 2011 1.44 Dec 31, 2012 1.51 Dec 31, 2013 1.65 Dec 31, 2014 1.77 Dec 31, 2015 1.86 Dec 31, 2016 1.94 Dec 31, 2017 2.12 Dec 31, 2018 2.16

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/16064.tsv"}, "mark": "line", "encoding": {"color": {"value": "#6B007B"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Loans in trillion U.S. dollars"}, "field": "Loans in trillion U\\.S\\. dollars"}}, "title": ["Value of commercial and industrial loans", "granted by FDIC-insured commercial banks", "in the United States from 2000 to 2019 (in", "trillion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}