delen/vistext huggingface dataset:
Chart description: In 2010 and towards end of 2015 there was less sea freight in metric tons compared with 2005 and start of 2015.

Chart data: Year Sea freight in thousand metric tons Dec 31, 1999 16886 Dec 31, 2000 15988 Dec 31, 2001 15939 Dec 31, 2002 16531 Dec 31, 2003 15723 Dec 31, 2004 17011 Dec 31, 2005 14993 Dec 31, 2006 15846 Dec 31, 2007 15391 Dec 31, 2008 13927 Dec 31, 2009 13554 Dec 31, 2010 13879 Dec 31, 2011 14609 Dec 31, 2012 16222 Dec 31, 2013 15732 Dec 31, 2014 15519 Dec 31, 2015 15528 Dec 31, 2016 16434 Dec 31, 2017 13951 Dec 31, 2018 13796

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/21703.tsv"}, "mark": "area", "encoding": {"color": {"value": "#744EC2"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Sea freight in thousand metric tons"}, "field": "Sea freight in thousand metric tons"}}, "title": ["Sea freight tonnage departing from Grimsby", "and Immingham port in the United Kingdom", "(UK) from 2000 to 2019 (in 1,000 metric tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph indicates that the fertility rate in Iraq has dropped since 2008. In comparison to earlier data, women look to be giving birth to on average 3 children in 2018 in comparison to 4 children in 2008.

Chart data: Year Number of born children per woman Dec 31, 2007 4.4 Dec 31, 2008 4.37 Dec 31, 2009 4.34 Dec 31, 2010 4.3 Dec 31, 2011 4.24 Dec 31, 2012 4.17 Dec 31, 2013 4.08 Dec 31, 2014 3.97 Dec 31, 2015 3.86 Dec 31, 2016 3.76 Dec 31, 2017 3.67

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/21708.tsv"}, "mark": "area", "encoding": {"color": {"value": "#333333"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of born children per woman"}, "field": "Number of born children per woman"}}, "title": ["Iraq : Fertility rate from 2008 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Dropped in 2013 and steadily increasing since then.

Chart data: Year Number of children born per woman Dec 31, 2007 1.39 Dec 31, 2008 1.34 Dec 31, 2009 1.39 Dec 31, 2010 1.35 Dec 31, 2011 1.28 Dec 31, 2012 1.21 Dec 31, 2013 1.23 Dec 31, 2014 1.31 Dec 31, 2015 1.36 Dec 31, 2016 1.38 Dec 31, 2017 1.42

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/21710.tsv"}, "mark": "line", "encoding": {"color": {"value": "#e5ae38"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Number of children born per woman"}, "field": "Number of children born per woman"}}, "title": ["Portugal : Fertility rate from 2008 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: From 2008 to 2018, the fertility rate remains above 1. Around 2013 there is a small drop, however numbers go back up steadily after that. The line does not go above 1.5 in any years in the graph.

Chart data: Year Number of children born per woman Dec 31, 2007 1.39 Dec 31, 2008 1.34 Dec 31, 2009 1.39 Dec 31, 2010 1.35 Dec 31, 2011 1.28 Dec 31, 2012 1.21 Dec 31, 2013 1.23 Dec 31, 2014 1.31 Dec 31, 2015 1.36 Dec 31, 2016 1.38 Dec 31, 2017 1.42

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/21710.tsv"}, "mark": "line", "encoding": {"color": {"value": "#e5ae38"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Number of children born per woman"}, "field": "Number of children born per woman"}}, "title": ["Portugal : Fertility rate from 2008 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The fertility rate has been quite stable although figures dipped between 2012 and 2014.

Chart data: Year Number of children born per woman Dec 31, 2007 1.39 Dec 31, 2008 1.34 Dec 31, 2009 1.39 Dec 31, 2010 1.35 Dec 31, 2011 1.28 Dec 31, 2012 1.21 Dec 31, 2013 1.23 Dec 31, 2014 1.31 Dec 31, 2015 1.36 Dec 31, 2016 1.38 Dec 31, 2017 1.42

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/21710.tsv"}, "mark": "line", "encoding": {"color": {"value": "#e5ae38"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Number of children born per woman"}, "field": "Number of children born per woman"}}, "title": ["Portugal : Fertility rate from 2008 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There isn't a lot of growth in retail fresh fish sales. Around 800 thousand tonnes is sold each year.

Chart data: Sales volume in thousand tonnes Year 870.1 2017* 855.1 2016* 841.2 2015* 828.3 2014* 816.4 2013* 805.4 2012 795.3 2011 787.1 2010 780.5 2009 776.4 2008

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/21711.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#182429"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Sales volume in thousand tonnes"}, "field": "Sales volume in thousand tonnes"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Retail sales volume of fresh fish and seafood", "in the United Kingdom (UK) from 2008 to 2017", "(in 1,000 tonnes)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: A small but steady increase in sales volume year on year.

Chart data: Sales volume in thousand tonnes Year 870.1 2017* 855.1 2016* 841.2 2015* 828.3 2014* 816.4 2013* 805.4 2012 795.3 2011 787.1 2010 780.5 2009 776.4 2008

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/21711.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#182429"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Sales volume in thousand tonnes"}, "field": "Sales volume in thousand tonnes"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Retail sales volume of fresh fish and seafood", "in the United Kingdom (UK) from 2008 to 2017", "(in 1,000 tonnes)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: the death rate from nephritis and other associated injuries has declined since the early 2000s however there is a small uptick again but it is lower than when it started.

Chart data: Year Deaths per 100,000 population Dec 31, 1999 10.2 Dec 31, 2000 10.4 Dec 31, 2001 11 Dec 31, 2002 11.1 Dec 31, 2003 11.1 Dec 31, 2004 11.3 Dec 31, 2005 11.3 Dec 31, 2006 11.5 Dec 31, 2007 11.5 Dec 31, 2008 10.7 Dec 31, 2009 11.3 Dec 31, 2010 9.6 Dec 31, 2011 9.6 Dec 31, 2012 8.5 Dec 31, 2013 8.7 Dec 31, 2014 8.7 Dec 31, 2015 8.4 Dec 31, 2016 8.9 Dec 31, 2017 9.8

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/21715.tsv"}, "mark": "line", "encoding": {"color": {"value": "#4D4D4D"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Deaths per 100,000 population"}, "field": "Deaths per 100,000 population"}}, "title": ["Death rate for nephritis , nephrotic syndrome", "and nephrosis in Canada from 2000 to 2018", "(per 100,000 population)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: It shows that after an initial dip between 2004 and 2006 there has generally been a steady increase in the investment levels up to 2016.

Chart data: Year Millions of euros invested Dec 31, 2003 341.5 Dec 31, 2004 240.9 Dec 31, 2005 178.2 Dec 31, 2006 232.1 Dec 31, 2007 373 Dec 31, 2008 356.7 Dec 31, 2009 396.4 Dec 31, 2010 863 Dec 31, 2011 915.8 Dec 31, 2012 996.1 Dec 31, 2013 1159.3 Dec 31, 2014 1306.4 Dec 31, 2015 1185 Dec 31, 2016 1228 Dec 31, 2017 1351

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/21717.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ab7fb4"}, "x": {"type": "temporal", "axis": {"labelAngle": 90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Millions of euros invested"}, "field": "Millions of euros invested"}}, "title": ["Amount of money invested in rail transport", "infrastructure in Denmark from 2004 to 2016", "(in million euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: the area graph shows that in the space of 20 years, the Chicago Cubs have quadrupled their revenue. In 2000, it was just over 100 million dollars, and by 2020 it was over 450 million dollars. I am unsure whether this graph suggests a cumulative amount as I am unfamiliar with this type of graph.

Chart data: Year Revenue in million U.S. dollars Dec 31, 2000 131 Dec 31, 2001 143 Dec 31, 2002 156 Dec 31, 2003 170 Dec 31, 2004 179 Dec 31, 2005 197 Dec 31, 2006 214 Dec 31, 2007 239 Dec 31, 2008 246 Dec 31, 2009 258 Dec 31, 2010 266 Dec 31, 2011 274 Dec 31, 2012 266 Dec 31, 2013 302 Dec 31, 2014 340 Dec 31, 2015 434 Dec 31, 2016 457 Dec 31, 2017 452 Dec 31, 2018 471

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/2171.tsv"}, "mark": "area", "encoding": {"color": {"value": "#00609f"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Revenue in million U.S. dollars"}, "field": "Revenue in million U\\.S\\. dollars"}}, "title": ["Revenue of the Chicago Cubs (MLB) from 2001", "to 2019 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Government spending remained below 0.3 between 2015 and 2025 except for the year 19/20 which rose slightly above 0.3.

Chart data: Year Ratio of government expenditure to GDP 2025* 0.2808 2024* 0.2851 2023* 0.2872 2022* 0.2887 2021* 0.2874 2020 0.3119 2019 0.2959 2018 0.2945 2017 0.2865 2016 0.2815 2015 0.2728

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/21725.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#b5cf6b"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Ratio of government expenditure to GDP"}, "field": "Ratio of government expenditure to GDP"}}, "title": ["Jamaica : Ratio of government expenditure", "to gross domestic product (GDP) from 2015", "to 2025"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: You can see government spending gradually increase and then spike in 2020 presumably due to the pandemic before it levels off in 2021.

Chart data: Year Ratio of government expenditure to GDP 2025* 0.2808 2024* 0.2851 2023* 0.2872 2022* 0.2887 2021* 0.2874 2020 0.3119 2019 0.2959 2018 0.2945 2017 0.2865 2016 0.2815 2015 0.2728

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/21725.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#b5cf6b"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Ratio of government expenditure to GDP"}, "field": "Ratio of government expenditure to GDP"}}, "title": ["Jamaica : Ratio of government expenditure", "to gross domestic product (GDP) from 2015", "to 2025"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Australia has the highest gross win at just under 500 USD. China has the lowest gross win at under 50 USDCanada, Italy and the United States of America all have a very similar gross win between 220 - 250 USDAustralia is about twice as high as the second highest which is italy.

Chart data: Country Gambling gross win in U.S. dollars Australia 487.17 Italy 245.21 United States 233.28 Canada 230.02 Britain 195.3 Spain 166.01 Japan 154.07 France 125.86 Germany 115.01 China 34.72

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/21734.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#DCDCDC"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Gambling gross win in U.S. dollars"}, "field": "Gambling gross win in U\\.S\\. dollars"}}, "title": ["Gambling gross win per capita for the leading", "ten gambling markets in 2013 (in U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: China has the lowest gross win in U.S. dollars. Australia has the highest gross win in U.S. dollars. Australia has approximately double the gross win in U.S. dollars as the next largest country, which is Italy. Italy, the U.S. and Canada have very similar values for gross win in U.S. dollars. France and Germany have very similar values for gross win in U.S. dollars.

Chart data: Country Gambling gross win in U.S. dollars Australia 487.17 Italy 245.21 United States 233.28 Canada 230.02 Britain 195.3 Spain 166.01 Japan 154.07 France 125.86 Germany 115.01 China 34.72

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/21734.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#DCDCDC"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Gambling gross win in U.S. dollars"}, "field": "Gambling gross win in U\\.S\\. dollars"}}, "title": ["Gambling gross win per capita for the leading", "ten gambling markets in 2013 (in U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There has been a pretty consistent amount of goat and sheep meat production from 2010 to 2019, having always been over 15,000 tons. 2018 was notably the highest meat production year reaching 20,000 tons.

Chart data: Production in metric tons Year 18000 2019* 20000 2018 17000 2017 18000 2016 18000 2015 18000 2014 16000 2013 15000 2012 15000 2011 17000 2010

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/21740.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#6793a6"}, "x": {"type": "quantitative", "axis": {"title": "Production in metric tons"}, "field": "Production in metric tons"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}}, "title": ["Sheep and goat meat production in the Netherlands", "from 2010 to 2019 (in metric tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph shows an overall increase in the value of newsprint imported from circa 38 billion rupees in financial year 2022 to circa 49 billion rupees in financial year 2022; however this increase is non-linear. The highest value during this period was circa 68 billion rupees in financial year 2019. The value has not dropped below 38 billion rupees during this period.

Chart data: Import value in billion Indian rupees Year 49.52 FY 2020 68.54 FY 2019 50.1 FY 2018 57 FY 2017 52.7 FY 2016 51.28 FY 2015 53.95 FY 2014 43.75 FY 2013 49.38 FY 2012 37.41 FY 2011

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/21741.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#843c39"}, "x": {"type": "quantitative", "axis": {"title": "Import value in billion Indian rupees"}, "field": "Import value in billion Indian rupees"}, "y": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}}, "title": ["Value of newsprint imported into India from", "financial year 2011 to 2019 , with an estimate", "for 2020 (in billion Indian rupees)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a steady increase in imported value of goods up until 2020. 2020 saw quite a big drop, I can only imagine this is due to the covid pandemic. 2013 and 2018 seem to be anomalies with drops.

Chart data: Import value in billion Indian rupees Year 49.52 FY 2020 68.54 FY 2019 50.1 FY 2018 57 FY 2017 52.7 FY 2016 51.28 FY 2015 53.95 FY 2014 43.75 FY 2013 49.38 FY 2012 37.41 FY 2011

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/21741.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#843c39"}, "x": {"type": "quantitative", "axis": {"title": "Import value in billion Indian rupees"}, "field": "Import value in billion Indian rupees"}, "y": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}}, "title": ["Value of newsprint imported into India from", "financial year 2011 to 2019 , with an estimate", "for 2020 (in billion Indian rupees)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Share of total cargo handled goes up in increments of .05. Response - Ports are listed in alphabetical order. Deendayal & Paradip handled the most cargo. Kolkata Dock System & Mormugao handled the least.

Chart data: Share of total cargo handled Response 0.1651 Deendayal 0.1563 Paradip 0.1011 J L Nehru 0.0934 Visakhapatnam 0.0867 Mumbai 0.0758 Chennai 0.0647 Haldia Dock Complex 0.0608 New Mangalore 0.0493 Kamarajar 0.0491 Chidambaranar 0.0458 Cochin 0.0265 Kolkata Dock System 0.0253 Mormugao

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/21746.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#386cb0"}, "x": {"type": "quantitative", "axis": {"title": "Share of total cargo handled"}, "field": "Share of total cargo handled"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}}, "title": ["Distribution of total cargo handled across", "India in financial year 2019 , by major port"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In 2015 there was a big upturn in the amount of people purchasing food online In Germany.

Chart data: Response Share of individuals Dec 31, 2008 0.09 Dec 31, 2009 0.07 Dec 31, 2010 0.1 Dec 31, 2011 0.09 Dec 31, 2012 0.1 Dec 31, 2013 0.11 Dec 31, 2014 0.11 Dec 31, 2015 0.19 Dec 31, 2016 0.21 Dec 31, 2017 0.22 Dec 31, 2018 0.24

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/21747.tsv"}, "mark": "line", "encoding": {"color": {"value": "#D64550"}, "x": {"type": "temporal", "axis": {"labelAngle": 90}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Share of individuals"}, "field": "Share of individuals"}}, "title": ["Share of individuals who purchased food", "or groceries online in Germany from 2009", "to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Cocina para todos channel was the most watched channel as of March 2017 with 40,000,000 more views than the next most watched channel.

Chart data: Cooking Channel Number of uploaded video views Cocina para todos 109651018 Cosas de Loli 59623806 Lolita la pastelera 27229343 Las Recetas de MJ 45810304 Cocina con Carmen 26636125 Tuiwok Estilo 11921966 El cocinero fiel 34856700 Lo he cocinado yo 15000000 El cocinero universitario 11000000 Javi Recetas 4969244

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/21751.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fbb4ae"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Cooking Channel"}, "y": {"type": "quantitative", "axis": {"title": "Number of uploaded video views"}, "field": "Number of uploaded video views"}}, "title": ["Leading cooking channels on YouTube in Spain", "as of March 2017 , by number of views"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph presents a slow decrease of the share of population throughout the years, however still remaining within the range of 0.6 to 0.8.

Chart data: Response Share of population Dec 31, 2008 0.7131 Dec 31, 2009 0.7111 Dec 31, 2010 0.7093 Dec 31, 2011 0.7073 Dec 31, 2012 0.7054 Dec 31, 2013 0.7035 Dec 31, 2014 0.7014 Dec 31, 2015 0.6992 Dec 31, 2016 0.6968 Dec 31, 2017 0.6942

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/21754.tsv"}, "mark": "area", "encoding": {"color": {"value": "#B0B0B0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Share of population"}, "field": "Share of population"}}, "title": ["Share of rural population in Myanmar from", "2009 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Across the years displayed within the chart (2009 - 2018), there has been a steady, gradual decline in the share of the rural population in Myanmar.

Chart data: Response Share of population Dec 31, 2008 0.7131 Dec 31, 2009 0.7111 Dec 31, 2010 0.7093 Dec 31, 2011 0.7073 Dec 31, 2012 0.7054 Dec 31, 2013 0.7035 Dec 31, 2014 0.7014 Dec 31, 2015 0.6992 Dec 31, 2016 0.6968 Dec 31, 2017 0.6942

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/21754.tsv"}, "mark": "area", "encoding": {"color": {"value": "#B0B0B0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Share of population"}, "field": "Share of population"}}, "title": ["Share of rural population in Myanmar from", "2009 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: the largest donors on the above graph was the united states and the smallest donor was sweden.

Chart data: Aid (in million U.S. dollars) Country 6496.3 United States 1483.8 Germany 1439.3 United Kingdom 1168.1 European commission 990.8 Saudi Arabia 425 United Arab Emirates 406.2 Canada 398.5 Central Emergency Response Fund 351.2 Sweden 349.4 EU Commission - EU facility for refugees in Turkey

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/2175.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ad494a"}, "x": {"type": "quantitative", "axis": {"title": "Aid (in million U.S. dollars)"}, "field": "Aid (in million U\\.S\\. dollars)"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}}, "title": ["Largest donors of humanitarian aid worldwide", "in 2019 (in million U.S. dollars) , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Internal consumption in travel and tourism in Trinidad and Tobago shows a dip then an increase between 2010 and 2012. Between 2012 and 2014 we can see a slight drop, but after this the scale is flat until 2018, and after that, there is a slight increase.

Chart data: Year Consumption in billion U.S. dollars* Dec 31, 2009 1.64 Dec 31, 2010 1.53 Dec 31, 2011 1.89 Dec 31, 2012 1.75 Dec 31, 2013 1.76 Dec 31, 2014 1.85 Dec 31, 2015 1.87 Dec 31, 2016 1.88 Dec 31, 2017 1.85 Dec 31, 2018 1.91

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/21760.tsv"}, "mark": "line", "encoding": {"color": {"value": "#4D4D4D"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Consumption in billion U.S. dollars*"}, "field": "Consumption in billion U\\.S\\. dollars*"}}, "title": ["Internal consumption of travel and tourism", "in Trinidad and Tobago from 2010 to 2019", "(in billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The trend shows that consumption in terms of billion US dollars is rising over time, however 2010-11 and 2012-13 show relatively sharp drops of around 1 tenth of a billion US dollars whereas 2011-12 shows a steep rise of almost 4 tenths of a billion US dollars. The consumption in 2010 was around 1.6 billion US dollars compared to around 1.9 billion US dollars in 2019. The figure for 2012 was also around 1.9 billion US dollars before the drop in 2013.

Chart data: Year Consumption in billion U.S. dollars* Dec 31, 2009 1.64 Dec 31, 2010 1.53 Dec 31, 2011 1.89 Dec 31, 2012 1.75 Dec 31, 2013 1.76 Dec 31, 2014 1.85 Dec 31, 2015 1.87 Dec 31, 2016 1.88 Dec 31, 2017 1.85 Dec 31, 2018 1.91

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/21760.tsv"}, "mark": "line", "encoding": {"color": {"value": "#4D4D4D"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Consumption in billion U.S. dollars*"}, "field": "Consumption in billion U\\.S\\. dollars*"}}, "title": ["Internal consumption of travel and tourism", "in Trinidad and Tobago from 2010 to 2019", "(in billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between 1966 and 2020 Michael Jordan was 5he steal leader of Chicago bulls 2ith more than 2000 steals followed by Scottie pippen. Joakim Noah and Toni kukoc got the lowest steals values with almost 500.

Chart data: Steals Player 2306 Michael Jordan 1792 Scottie Pippen 857 Kirk Hinrich 724 Norm Van Lier 639 Luol Deng 587 Horace Grant 583 Jimmy Butler 580 Reggie Theus 481 Joakim Noah 476 Toni Kukoc

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/21762.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#52689e"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Steals"}, "field": "Steals"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Player"}}, "title": ["Chicago Bulls all-time steals leaders from", "1966 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In the year 2008 the birth rate per thousand population in Egypt is about 26. In 2010 it increases to about 27.5. In 2012 it increases again to roughly 28.5. In 2014, it remains the same at about 28.5. In 2016 it decreases to about 27.5 and continues to decrease.

Chart data: Year Birth rate per thousand population Dec 31, 2007 25.93 Dec 31, 2008 26.58 Dec 31, 2009 27.27 Dec 31, 2010 27.87 Dec 31, 2011 28.31 Dec 31, 2012 28.52 Dec 31, 2013 28.48 Dec 31, 2014 28.18 Dec 31, 2015 27.68 Dec 31, 2016 27.05 Dec 31, 2017 26.38

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/21774.tsv"}, "mark": "line", "encoding": {"color": {"value": "#cedb9c"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Birth rate per thousand population"}, "field": "Birth rate per thousand population"}}, "title": ["Egypt : Birth rate from 2008 to 2018 (per", "1,000 inhabitants)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In 2018 the large majority were Catholic at over 0.6 Second to this was no religion at 0.2, all other religions had a small share at much less than 0.1.

Chart data: Response Share of respondents Catholic 0.65 Evangelist (unspecified) 0.108 Adventist 0.006 Jehova's witness 0.004 Mormon 0.003 Afroamerican cults, Umbanda, etc. 0.003 Jewish 0.002 Baptist evangelist 0.001 Pentecostal evangelist 0.001 Protestant 0.001 Other 0.007 Believer without formal affiliation to any religion 0.006 None 0.189 Atheist 0.015 Agnostic 0.002 Do not answer 0.001

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/21785.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#74a9cf"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Share of respondents"}, "field": "Share of respondents"}}, "title": ["Religion affiliation in Argentina as of", "2018 , by type"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The highest sales were in 2013 and 2019. The lowest sales were in 2015. With the exception of 2013 (and to some extent 2014) sales gradually reduce between 2010 and 2015. Sales gradually increase between 2015 and 2019.

Chart data: Year Sales volume in thousands FY 2020 20.36 FY 2019 21.86 FY 2018* 18.75 FY 2017 16.49 FY 2016 15.55 FY 2015 14.02 FY 2014 17.44 FY 2013 21.76 FY 2012 16.17 FY 2011 17.38 FY 2010 19.05

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/21786.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#5C6BC0"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Sales volume in thousands"}, "field": "Sales volume in thousands"}}, "title": ["Sales volume of Ashok Leyland engines from", "financial year 2010 to 2020 (in 1,000s)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}