delen/vistext huggingface dataset:
Chart description: The Countries are fairly even with their levels of unemployment although about 4 of the countries are quite high.

Chart data: Unemployment rate Country 0.2714 Ceuta 0.2504 Canary Islands 0.2414 Melilla 0.238 Andalusia 0.2088 Extremadura 0.1834 Castile la Mancha 0.1726 Region of Valencia 0.1721 Murcia 0.1626 Spain 0.1416 Asturias 0.1328 Balearic Islands 0.1325 Community of Madrid 0.1323 Catalonia 0.1249 Castile and Leon 0.1202 Cantabria 0.119 Aragon 0.118 Galicia 0.1152 La Rioja 0.1034 Basque Country 0.0994 Navarre

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/12827.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#9fe4f8"}, "x": {"type": "quantitative", "axis": {"title": "Unemployment rate"}, "field": "Unemployment rate"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Country"}}, "title": ["Unemployment rate in Spain in the third", "quarter of 2020 , by autonomous community"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Mountain West conference games consistently have more than 1, 500, 000 fans in attendance for every year except for the 2011 season.

Chart data: Year Attendance in millions 2019 1.77 2018 1.79 2017 1.87 2016 1.83 2015 1.81 2014 1.87 2013* 1.96 2012* 1.63 2011* 1.42 2010 1.86 2009 1.83 2008 1.79 2007 1.87 2006 1.77 2005* 1.69 2004 1.62 2003 1.61

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/12829.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#9fe4f8"}, "x": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Attendance in millions"}, "field": "Attendance in millions"}}, "title": ["Total attendance at Mountain West Conference", "college football games from 2003 to 2019", "(in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The NFL player with the most Twitter followers as of April 2018 (in millions) was Russell Wilson with just over 5 million followers. JJ Watt is a close second with just under 5 million followers. Tom Tebow is in third with over 4.8 million followers.

Chart data: Number of followers in millions American football player 5.34 Russell Wilson 5.24 JJ Watt 4.85 Tim Tebow 4.39 Aaron Rodgers 3.65 Chad Ochocinco 3.46 Dez Bryant 3.18 Drew Brees 3.15 Reggie Bush 3 Michael Vick 2.89 Rob Gronkowski

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/1282.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#1696d2"}, "x": {"type": "quantitative", "axis": {"title": "Number of followers in millions"}, "field": "Number of followers in millions"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "American football player"}}, "title": ["NFL players with the most Twitter followers", "as of April 2018 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The poverty line does not drop below 0.10 of the population.

Chart data: Response Percentage of population Dec 31, 1999 0.1 Dec 31, 2000 0.097 Dec 31, 2001 0.112 Dec 31, 2002 0.101 Dec 31, 2003 0.099 Dec 31, 2004 0.109 Dec 31, 2005 0.11 Dec 31, 2006 0.11 Dec 31, 2007 0.115 Dec 31, 2008 0.118 Dec 31, 2009 0.126 Dec 31, 2010 0.128 Dec 31, 2011 0.127 Dec 31, 2012 0.127 Dec 31, 2013 0.122 Dec 31, 2014 0.122 Dec 31, 2015 0.118 Dec 31, 2016 0.107 Dec 31, 2017 0.112 Dec 31, 2018 0.112

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/12837.tsv"}, "mark": "area", "encoding": {"color": {"value": "#12239E"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Percentage of population"}, "field": "Percentage of population"}}, "title": ["Poverty rate in Iowa from 2000 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The poverty rate has risen since 2000. Poverty levels rose to highest level in 2010. The poverty level in 2019 is still higher than in was in 2000.

Chart data: Response Percentage of population Dec 31, 1999 0.1 Dec 31, 2000 0.097 Dec 31, 2001 0.112 Dec 31, 2002 0.101 Dec 31, 2003 0.099 Dec 31, 2004 0.109 Dec 31, 2005 0.11 Dec 31, 2006 0.11 Dec 31, 2007 0.115 Dec 31, 2008 0.118 Dec 31, 2009 0.126 Dec 31, 2010 0.128 Dec 31, 2011 0.127 Dec 31, 2012 0.127 Dec 31, 2013 0.122 Dec 31, 2014 0.122 Dec 31, 2015 0.118 Dec 31, 2016 0.107 Dec 31, 2017 0.112 Dec 31, 2018 0.112

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/12837.tsv"}, "mark": "area", "encoding": {"color": {"value": "#12239E"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Percentage of population"}, "field": "Percentage of population"}}, "title": ["Poverty rate in Iowa from 2000 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of employees in the financial services sector in the United Kingdom (UK) decreases gradually from 2001 to 2005.

Chart data: Year Number of employees in millions Dec 31, 2000 1.19 Dec 31, 2001 1.19 Dec 31, 2002 1.18 Dec 31, 2003 1.17 Dec 31, 2004 1.15 Dec 31, 2005 1.17 Dec 31, 2006 1.19 Dec 31, 2007 1.21 Dec 31, 2008 1.13 Dec 31, 2009 1.12 Dec 31, 2010 1.12 Dec 31, 2011 1.15 Dec 31, 2012 1.12 Dec 31, 2013 1.11 Dec 31, 2014 1.11 Dec 31, 2015 1.13 Dec 31, 2016 1.13 Dec 31, 2017 1.1 Dec 31, 2018 1.1

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/1283.tsv"}, "mark": "line", "encoding": {"color": {"value": "#666666"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Number of employees in millions"}, "field": "Number of employees in millions"}}, "title": ["Number of employees in the financial services", "sector in the United Kingdom (UK) from 2001", "to 2019 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: all countries seem to be about the same as one another apart from Cyprus which is the lowest at about a 530 score and then Malta in second lowest place.

Chart data: Country Global Financial Centres Index score British Virgin Islands 639 Gibraltar 633 Cayman Islands 632 Hamilton 628 Jersey 624 Isle of Man 622 Guernsey 619 Mauritius 608 Bahamas 603 Malta 581 Cyprus 540

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/12841.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#7fc97f"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"title": "Global Financial Centres Index score"}, "field": "Global Financial Centres Index score"}}, "title": ["Leading offshore financial centers worldwide", "as of June 2014"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: 5 companies completed notably more deals/higher value deals (BNP Paribas, BoA Merrill Lynch, Credit Suisse, Goldman Sachs and goetzpartners). Citi had a medium total value of deals, and all of the other companies pale in comparison to the top 5.

Chart data: Deal value in billion U.S. dollars leading financial advisory firms  15.13 Bank of America Merrill Lynch 14.76 Credit Suisse 10.93 Goldman Sachs & Co 10.69 BNP Paribas 9.92 goetzpartners 7.38 Citi 3.32 JPMorgan 2.01 Macquarie Group 1.88 Guggenheim Partners 1.21 BTIG 1.2 Deloitte 0.86 PwC 0.81 Sberbank OAO 0.8 Evercore 0.71 EY 0.66 KPMG 0.59 Renaissance Capital 0.51 Pekao Investment Banking 0.46 Danske Bank

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/12843.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d365ba"}, "x": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Deal value in billion U.S. dollars"}, "field": "Deal value in billion U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "leading financial advisory firms "}}, "title": ["Leading financial advisors to M & A in the", "Central and Eastern Europe region as of the", "first half 2018 , by deal value (in billion", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: 2013 had the highest cattle number in thousand heads than any other year. 2010 had the lowest cattle number in thousand heads than any other year. Every year other than 2010 had over 2,500 cattle in thousand heads.

Chart data: Year Cattle number in thousand heads 2020* 2810 2019 2700 2018 2750 2017 2850 2016 2720 2015 2720 2014 2800 2013 2900 2012 2680 2011 2600 2010 2300

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/12849.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#666666"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Cattle number in thousand heads"}, "field": "Cattle number in thousand heads"}}, "title": ["Number of cattle in Uruguay from 2010 to", "2020 (in 1,000 heads)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There has been very little change in numbers cattle heads over this 10 year period.

Chart data: Year Cattle number in thousand heads 2020* 2810 2019 2700 2018 2750 2017 2850 2016 2720 2015 2720 2014 2800 2013 2900 2012 2680 2011 2600 2010 2300

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/12849.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#666666"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Cattle number in thousand heads"}, "field": "Cattle number in thousand heads"}}, "title": ["Number of cattle in Uruguay from 2010 to", "2020 (in 1,000 heads)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Consistent between 2018 and 2021Slight increase from 2021 until 2029.

Chart data: Percentage of GDP Response 0.023 '29 0.022 '28 0.022 '27 0.021 '26 0.021 '25 0.021 '24 0.02 '23 0.02 '22 0.019 '21 0.019 '20 0.019 '19* 0.019 '18

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/12853.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#E66C37"}, "x": {"type": "quantitative", "axis": {"title": "Percentage of GDP"}, "field": "Percentage of GDP"}, "y": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Response"}}, "title": ["Medicaid spending history and forecast in", "the United States from 2018 to 2029 (as a", "percentage of the GDP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Medicaid spending is forecast to increase above 0.02 % gdp by 2029.

Chart data: Percentage of GDP Response 0.023 '29 0.022 '28 0.022 '27 0.021 '26 0.021 '25 0.021 '24 0.02 '23 0.02 '22 0.019 '21 0.019 '20 0.019 '19* 0.019 '18

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/12853.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#E66C37"}, "x": {"type": "quantitative", "axis": {"title": "Percentage of GDP"}, "field": "Percentage of GDP"}, "y": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Response"}}, "title": ["Medicaid spending history and forecast in", "the United States from 2018 to 2029 (as a", "percentage of the GDP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Heart disease is by almost double, the leading cause of death in lower-middle income countries worldwide. While road injury is the lowest at only roughly 20 deaths per 100,000.

Chart data: Deaths per 100,000 population causes of death 119.4 Ischaemic heart disease 61.6 Stroke 48.1 Lower respiratory infections 39.3 Chronic obstructive pulmonary disease 31 Tuberculosis 30.3 Diarrhoeal diseases 22.9 Diabetes mellitus 22.7 Preterm birth complications 22 Cirrhosis of the liver 19.9 Road injury

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/12856.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d6a5c9"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Deaths per 100,000 population"}, "field": "Deaths per 100,000 population"}, "y": {"type": "nominal", "axis": {"labelAngle": 0}, "bin": false, "field": "causes of death"}}, "title": ["Leading 10 causes of death in lower-middle", "income countries worldwide in 2016 (in deaths", "per 100,000 population)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Deaths have gone down from 2010 - 2018. The decrease has been consistant over the years.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 2.1 Dec 31, 2009 2.1 Dec 31, 2010 2 Dec 31, 2011 1.9 Dec 31, 2012 1.9 Dec 31, 2013 1.8 Dec 31, 2014 1.8 Dec 31, 2015 1.7 Dec 31, 2016 1.7 Dec 31, 2017 1.6 Dec 31, 2018 1.6

Vega-Lite specification:
{"config": {"background": "#FFFFFF", "title": {"anchor": "start", "fontSize": 18, "font": "Lato"}, "axisX": {"domain": true, "domainColor": "#000000", "domainWidth": 1, "grid": false, "labelFontSize": 12, "labelFont": "Lato", "tickColor": "#000000", "tickSize": 5, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato"}, "axisY": {"domain": false, "domainWidth": 1, "grid": true, "gridColor": "#DEDDDD", "gridWidth": 1, "labelFontSize": 12, "labelFont": "Lato", "labelPadding": 8, "ticks": false, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato", "titleAngle": 0, "titleY": -10, "titleX": 18}, "legend": {"labelFontSize": 12, "labelFont": "Lato", "symbolSize": 100, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato", "orient": "right", "offset": 10}, "view": {"stroke": "transparent"}, "range": {"category": ["#1696d2", "#ec008b", "#fdbf11", "#000000", "#d2d2d2", "#55b748"], "diverging": ["#ca5800", "#fdbf11", "#fdd870", "#fff2cf", "#cfe8f3", "#73bfe2", "#1696d2", "#0a4c6a"], "heatmap": ["#ca5800", "#fdbf11", "#fdd870", "#fff2cf", "#cfe8f3", "#73bfe2", "#1696d2", "#0a4c6a"], "ordinal": ["#cfe8f3", "#a2d4ec", "#73bfe2", "#46abdb", "#1696d2", "#12719e"], "ramp": ["#CFE8F3", "#A2D4EC", "#73BFE2", "#46ABDB", "#1696D2", "#12719E", "#0A4C6A", "#062635"]}, "area": {"fill": "#1696d2"}, "rect": {"fill": "#1696d2"}, "line": {"color": "#1696d2", "stroke": "#1696d2", "strokeWidth": 5}, "trail": {"color": "#1696d2", "stroke": "#1696d2", "strokeWidth": 0, "size": 1}, "point": {"color": "#1696d2", "size": 30}, "text": {"font": "Lato", "color": "#1696d2", "fontSize": 11, "align": "center", "fontWeight": 400, "size": 11}, "style": {"bar": {"fill": "#1696d2", "stroke": null}}}, "data": {"url": "data/12863.tsv"}, "mark": "line", "encoding": {"color": {"value": "#000000"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Deaths per 1,000 live births"}, "field": "Deaths per 1,000 live births"}}, "title": ["Iceland : 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: Christian Erickson is the most expensive player. Kaaper Schmeichel is the least expensive at 9 million euro. Christian Erickson Is almost worth 3 times as much as the other players listed as leading in Denmark.

Chart data: Market value in million euros players of the national football team of Denmark 68 Christian Eriksen 24 Yussuf Poulsen 24 Andreas Christensen 17.5 Thomas Delaney 16 Joachim Andersen 16 Kasper Dolberg 12 Pierre-Emile Højbjerg 11 Daniel Wass 10.5 Robert Skov 9.5 Kasper Schmeichel

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/12864.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#94aace"}, "x": {"type": "quantitative", "axis": {"labelAngle": -90, "title": "Market value in million euros"}, "field": "Market value in million euros"}, "y": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "players of the national football team of Denmark"}}, "title": ["Leading players of the national football", "team of Denmark as of 2020 , by market value", "(in million euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Chile showed the highest increase while Panama showed the lowest.

Chart data: Monthly salary in U.S. dollars Country 23035 Chile 20609 Mexico 16462 Brazil 11909 Paraguay 10516 Argentina 10205 Average 10188 Costa Rica 9487 Ecuador 9369 Peru 8294 Uruguay 8178 Nicaragua 6821 Bolivia 5907 Colombia 4688 El Salvador 4586 Guatemala 3025 Panama

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/12867.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#000000"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Monthly salary in U.S. dollars"}, "field": "Monthly salary in U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Country"}}, "title": ["Gross monthly salary of Congress members", "in Latin America in 2018 , by country (in", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The home attendance figures for NFL Jacksonville Jaguars has always been at least 400000 between 2006 and 2019.

Chart data: Year Home attendance 2019 419915 2018 466719 2017 514427 2016 517172 2015* 430247 2014* 440732 2013* 419581 2012 519872 2011 498655 2010 504256 2009 397208 2008 521336 2007 522408 2006 534864

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/12868.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "nominal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Home attendance"}, "field": "Home attendance"}}, "title": ["Total regular season home attendance of", "the NFL Jacksonville Jaguars franchise from", "2006 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Lowest total regular season home attendance of the NFL Jacksonville Jaguars franchise from 2006 to 2019 was 2009 with 400 000 people attending.

Chart data: Year Home attendance 2019 419915 2018 466719 2017 514427 2016 517172 2015* 430247 2014* 440732 2013* 419581 2012 519872 2011 498655 2010 504256 2009 397208 2008 521336 2007 522408 2006 534864

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/12868.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "nominal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Home attendance"}, "field": "Home attendance"}}, "title": ["Total regular season home attendance of", "the NFL Jacksonville Jaguars franchise from", "2006 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The lowest attendance of the NFL Jacksonville Jaguars was at 400,000 in 2009 where as the usual amount of visitors is normally at 500,000.

Chart data: Year Home attendance 2019 419915 2018 466719 2017 514427 2016 517172 2015* 430247 2014* 440732 2013* 419581 2012 519872 2011 498655 2010 504256 2009 397208 2008 521336 2007 522408 2006 534864

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/12868.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "nominal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Home attendance"}, "field": "Home attendance"}}, "title": ["Total regular season home attendance of", "the NFL Jacksonville Jaguars franchise from", "2006 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: FedEx revenue has increased every year and 2016-2017 the growth was 20% increase.

Chart data: Year Revenue in billion U.S. dollars 2020 69.22 2019 69.69 2018 65.45 2017 60.32 2016 50.37 2015 47.45 2014 45.57 2013* 44.29 2012* 42.68 2011* 39.3 2010 34.73 2009* 35.5

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/1286.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d98445"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Revenue in billion U.S. dollars"}, "field": "Revenue in billion U\\.S\\. dollars"}}, "title": ["FedEx Corporation 's revenue from FY 2009", "to FY 2020 (in billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The population above the age of 15 has gone up between 2006 and 2014.

Chart data: Year Population above age 15 in millions Dec 31, 2005 50.47 Dec 31, 2006 51.04 Dec 31, 2007 51.9 Dec 31, 2008 52.82 Dec 31, 2009 53.46 Dec 31, 2010 54 Dec 31, 2011 54.51 Dec 31, 2012 55.21 Dec 31, 2013 54.84 Dec 31, 2014 55.24 Dec 31, 2015 55.61 Dec 31, 2016 55.96

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/12876.tsv"}, "mark": "line", "encoding": {"color": {"value": "#6B007B"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Population above age 15 in millions"}, "field": "Population above age 15 in millions"}}, "title": ["Population aged 15 years and above in Thailand", "from 2006 to 2017 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The population aged 15 years old and above, in Thailand,  increased consistently between 2006-2016 within the range of 40-60 millions.

Chart data: Year Population above age 15 in millions Dec 31, 2005 50.47 Dec 31, 2006 51.04 Dec 31, 2007 51.9 Dec 31, 2008 52.82 Dec 31, 2009 53.46 Dec 31, 2010 54 Dec 31, 2011 54.51 Dec 31, 2012 55.21 Dec 31, 2013 54.84 Dec 31, 2014 55.24 Dec 31, 2015 55.61 Dec 31, 2016 55.96

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/12876.tsv"}, "mark": "line", "encoding": {"color": {"value": "#6B007B"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Population above age 15 in millions"}, "field": "Population above age 15 in millions"}}, "title": ["Population aged 15 years and above in Thailand", "from 2006 to 2017 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Infant mortality in China was at its highest in 1950 with almost 200 deaths per 1000 live births. Infant mortality was at its lowest at 2010 with around 10 deaths per 1000 live births. The trend in this data is a steep downward trend. Infant mortality rates have fallen a lot since 1950. Between 1950 and 1970 rates rose by around 10 but ever since have continued to fall.

Chart data: Year Deaths per 1,000 live births Dec 31, 1949 195 Dec 31, 1954 129 Dec 31, 1959 131 Dec 31, 1964 135 Dec 31, 1969 94 Dec 31, 1974 72 Dec 31, 1979 55 Dec 31, 1984 45 Dec 31, 1989 42 Dec 31, 1994 41 Dec 31, 1999 35 Dec 31, 2004 27 Dec 31, 2009 18 Dec 31, 2014 12 Dec 31, 2019 10

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/12880.tsv"}, "mark": "line", "encoding": {"color": {"value": "#E044A7"}, "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 China from 1950 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Infant deaths in China in the child’s first year have fallen from around 200/year to a very few each year between 1950 and 2010. In the 60s the rate stabilised and even went up slightly. It fell very rapidly in the 50s.

Chart data: Year Deaths per 1,000 live births Dec 31, 1949 195 Dec 31, 1954 129 Dec 31, 1959 131 Dec 31, 1964 135 Dec 31, 1969 94 Dec 31, 1974 72 Dec 31, 1979 55 Dec 31, 1984 45 Dec 31, 1989 42 Dec 31, 1994 41 Dec 31, 1999 35 Dec 31, 2004 27 Dec 31, 2009 18 Dec 31, 2014 12 Dec 31, 2019 10

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/12880.tsv"}, "mark": "line", "encoding": {"color": {"value": "#E044A7"}, "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 China from 1950 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}