delen/vistext huggingface dataset:
Chart description: The veal production dropped since 2008. In the past 10 years it decreased to half.

Chart data: Year Production in million pounds Dec 31, 2007 143 Dec 31, 2008 138 Dec 31, 2009 134 Dec 31, 2010 130 Dec 31, 2011 118 Dec 31, 2012 111 Dec 31, 2013 94 Dec 31, 2014 83 Dec 31, 2015 76 Dec 31, 2016 74 Dec 31, 2017 76 Dec 31, 2018 74

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/13454.tsv"}, "mark": "line", "encoding": {"color": {"value": "#30a2da"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Production in million pounds"}, "field": "Production in million pounds"}}, "title": ["Commercial veal production in the United", "States from 2008 to 2019 (in million pounds)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: That the most companies declared bankrupt between 2012 and 2014. Between 2006 and 2008 the least companies were declared bankrupt.

Chart data: Year Number of companies Dec 31, 2004 927 Dec 31, 2005 916 Dec 31, 2006 1033 Dec 31, 2007 2894 Dec 31, 2008 5175 Dec 31, 2009 4990 Dec 31, 2010 5910 Dec 31, 2011 8095 Dec 31, 2012 9143 Dec 31, 2013 6564 Dec 31, 2014 5097 Dec 31, 2015 4297 Dec 31, 2016 4095 Dec 31, 2017 4332 Dec 31, 2018 4464

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/13465.tsv"}, "mark": "line", "encoding": {"color": {"value": "#E66C37"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of companies"}, "field": "Number of companies"}}, "title": ["Number of companies declared bankrupt in", "Spain from 2005 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Over the period the number of bankruptcies is increasing. 2012 had the peak number of 10000...then a decline until 2016...now slowly increasing until 2018.

Chart data: Year Number of companies Dec 31, 2004 927 Dec 31, 2005 916 Dec 31, 2006 1033 Dec 31, 2007 2894 Dec 31, 2008 5175 Dec 31, 2009 4990 Dec 31, 2010 5910 Dec 31, 2011 8095 Dec 31, 2012 9143 Dec 31, 2013 6564 Dec 31, 2014 5097 Dec 31, 2015 4297 Dec 31, 2016 4095 Dec 31, 2017 4332 Dec 31, 2018 4464

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/13465.tsv"}, "mark": "line", "encoding": {"color": {"value": "#E66C37"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of companies"}, "field": "Number of companies"}}, "title": ["Number of companies declared bankrupt in", "Spain from 2005 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Infant mortality rates have been generally falling on a consistent basis for the last decade.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 37.6 Dec 31, 2009 36.3 Dec 31, 2010 36.9 Dec 31, 2011 37.9 Dec 31, 2012 36.3 Dec 31, 2013 34.3 Dec 31, 2014 33.3 Dec 31, 2015 32.6 Dec 31, 2016 31.8 Dec 31, 2017 31.2 Dec 31, 2018 30.7

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/13466.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Deaths per 1,000 live births"}, "field": "Deaths per 1,000 live births"}}, "title": ["Namibia : 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: China was the leading mining country in 2016, with a production value of over 600 billion US dollars. China's mineral production dwarfed each of its nearest competitors Australia, India, Russia and the US by over 6 fold.

Chart data: Country Production value in billion U.S. dollars China 626.3 Australia 123 Russia 91.5 United States 89.7 India 77 South Africa 48.9 Indonesia 47.5 Canada 39.4 Brazil 36.6 Chile 33.5 Mexico 28.9 Peru 27.1 Kazakhstan 18.6 Turkey 17.2 Germany 15.8 Poland 14.6 Colombia 10.1 Ukraine 9.9 Finland 8.5 DR Congo 7.9

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/13472.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ffff99"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"title": "Production value in billion U.S. dollars"}, "field": "Production value in billion U\\.S\\. dollars"}}, "title": ["Leading mining countries worldwide in 2016", ", based on mineral production value (in billion", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a drop in visitors in 2011; this was the only year on the chart where visitor numbers fell below 2million. Since 2013 there has been an overall increase in the number of visitors. By 2019 visitor numbers exceeded 2.5million.

Chart data: Year Number of visitors in millions Dec 31, 2007 2.15 Dec 31, 2008 2.28 Dec 31, 2009 2.19 Dec 31, 2010 1.96 Dec 31, 2011 2.3 Dec 31, 2012 2.12 Dec 31, 2013 2.15 Dec 31, 2014 2.27 Dec 31, 2015 2.41 Dec 31, 2016 2.43 Dec 31, 2017 2.59 Dec 31, 2018 2.61

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/13473.tsv"}, "mark": "area", "encoding": {"color": {"value": "#fdcdac"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Number of visitors in millions"}, "field": "Number of visitors in millions"}}, "title": ["Number of recreational visitors to Cape", "Hatteras National Seashore in the United", "States from 2008 to 2019 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Pineapple sales are declining between  2008 to 2018.

Chart data: Year Sales volume in thousand tonnes 2018* 30.9 2017* 32 2016* 33.2 2015 * 34.4 2014 * 35.7 2013 37.2 2012 38.8 2011 40.5 2010 41.9 2009 42.6 2008 43

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/13481.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#55b748"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Sales volume in thousand tonnes"}, "field": "Sales volume in thousand tonnes"}}, "title": ["Annual volume of pineapple sold in the United", "Kingdom (UK) from 2008 to 2018 (in 1,000", "tonnes)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph shows Lorinc Meszaros to be the wealthiest Hungarian, with a wealth of over 400 million forints in 2019. In the top 10, Daniel Jellinek is the least wealthy of these having wealth of just over 100 million forints.

Chart data: ten richest Hungarians  Net worth in billion forints Lőrinc Mészáros 407.7 Sándor Csányi 368 György Gattyán 244.9 Lászó Szíjj 207.4 Demján's heirs 206 Tibor Veres 194 Zsolt Felcsuti 166.2 Gábor Széles 156.6 Lajos Kassza 116.9 Dániel Jellinek 107.5

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/13490.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d98445"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "ten richest Hungarians "}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Net worth in billion forints"}, "field": "Net worth in billion forints"}}, "title": ["Estimated net worth of the ten richest Hungarians", "in 2019 (in billion forints)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: this shows how the the home attendance has fell over the last 13 years.

Chart data: Year Home attendance Dec 31, 2005 701048 Dec 31, 2006 704720 Dec 31, 2007 708832 Dec 31, 2008 678352 Dec 31, 2009 665376 Dec 31, 2010 615368 Dec 31, 2011 637236 Dec 31, 2012 617767 Dec 31, 2013 623715 Dec 31, 2014 609672 Dec 31, 2015 626432 Dec 31, 2016 601405 Dec 31, 2017 488227 Dec 31, 2018 523906

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/13492.tsv"}, "mark": "area", "encoding": {"color": {"value": "#666666"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Home attendance"}, "field": "Home attendance"}}, "title": ["Total regular season home attendance of", "the NFL Washington Football Team franchise", "from 2006 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The Lockerbie bombing had the highest number of fatalities, and the Manchester area bombing had the least.

Chart data: Number of fatalities mass murder 270 Lockerbie Bombing (December 21,1988) 191 Madrid Train Bombings  (March 11, 2004) 130 Paris Attacks (November 15, 2015) 86 Nice Truck Attack (July 14, 2016) 85 Bologna Massacre (August 2, 1980) 77 Norway Attacks (July 22, 2011) 52 London Bombings (July 7, 2005) 32 Brussels Bombings (March 22, 2016) 29 Omagh Bombing (August 15, 1998) 22 Manchester Arena Bombing (May 22, 2017)

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/13506.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#88d27a"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Number of fatalities"}, "field": "Number of fatalities"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "mass murder"}}, "title": ["Ten worst terrorist attacks in terms of", "fatalities in Europe from 1980 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: From 2006 the number of suicides has increased annually. 2017 is so far the highest number of suicides standing above 12.000.

Chart data: Year Number of suicides in thousands Dec 31, 2005 8.64 Dec 31, 2006 8.87 Dec 31, 2007 9.33 Dec 31, 2008 9.37 Dec 31, 2009 9.45 Dec 31, 2010 9.85 Dec 31, 2011 10.32 Dec 31, 2012 10.53 Dec 31, 2013 10.65 Dec 31, 2014 11.18 Dec 31, 2015 11.43 Dec 31, 2016 12.5

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/13509.tsv"}, "mark": "area", "encoding": {"color": {"value": "#51b2e5"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of suicides in thousands"}, "field": "Number of suicides in thousands"}}, "title": ["Number of suicides in Brazil from 2006 to", "2017 (in 1,000s)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Z Holdings corporation's net income has steadily grown year on year until 2014 after that 2015 showed a dramatic rise in income which then changed back to the steady rate shown the year previously for 2 more years. 2018 and 2019 showed a lesser rate of net income.

Chart data: Year Net income in billion Japanese yen 2019 88.02 2018 77.83 2017 134.41 2016 132.63 2015 172.49 2014 133.93 2013* 129.67 2012 115.04 2011 100.56 2010 92.17 2009 83.52 2008 74.72 2007 62.62 2006 57.96 2005 47.09 2004 36.52 2003 24.83 2002 12.1

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/13510.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#7570b3"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Net income in billion Japanese yen"}, "field": "Net income in billion Japanese yen"}}, "title": ["Z Holdings Corporation 's net income from", "fiscal year 2002 to 2019 (in billion Japanese", "yen)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The highest income was in 2015 with approximately 170 billion yen. The lowest was in 2002 with approximately 10 billion yen. Between 2002-2014 there is a relatively steady increase in income. 2015 the income peaked after which it feel to approximately 130 billion yen for the next 2 years. In 2018 income fell to approximately 80 billion. A similar value to 2008.

Chart data: Year Net income in billion Japanese yen 2019 88.02 2018 77.83 2017 134.41 2016 132.63 2015 172.49 2014 133.93 2013* 129.67 2012 115.04 2011 100.56 2010 92.17 2009 83.52 2008 74.72 2007 62.62 2006 57.96 2005 47.09 2004 36.52 2003 24.83 2002 12.1

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/13510.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#7570b3"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Net income in billion Japanese yen"}, "field": "Net income in billion Japanese yen"}}, "title": ["Z Holdings Corporation 's net income from", "fiscal year 2002 to 2019 (in billion Japanese", "yen)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Overall the number of registered motorcycles has increased from 2004 to 2018. In 2004, the number of registered motorcycles was at its lowest of below 2000. There has been a steep increase to just under 8000 registered motorcycles in 2009 which was the highest number on this chart. After 2009, there has been a steady decrease in the number of registered motorcycles to just below 6000 in 2018.

Chart data: Year Number of registered motorcycles Dec 31, 2003 1637 Dec 31, 2004 3023 Dec 31, 2005 4399 Dec 31, 2006 5770 Dec 31, 2007 7024 Dec 31, 2008 7860 Dec 31, 2009 7593 Dec 31, 2010 7801 Dec 31, 2011 7633 Dec 31, 2012 7375 Dec 31, 2013 6982 Dec 31, 2014 6896 Dec 31, 2015 6616 Dec 31, 2016 6239 Dec 31, 2017 5823

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/13514.tsv"}, "mark": "area", "encoding": {"color": {"value": "#0570b0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Number of registered motorcycles"}, "field": "Number of registered motorcycles"}}, "title": ["Honda CBR1000RR registered motorcycle numbers", "in Great Britain from 2004 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Motorcycle registration peaked around the year 2008. There has been a decrease in motorcycle registering since the year 2012. Motorcycle registration has increased quite a lot since 2004.

Chart data: Year Number of registered motorcycles Dec 31, 2003 1637 Dec 31, 2004 3023 Dec 31, 2005 4399 Dec 31, 2006 5770 Dec 31, 2007 7024 Dec 31, 2008 7860 Dec 31, 2009 7593 Dec 31, 2010 7801 Dec 31, 2011 7633 Dec 31, 2012 7375 Dec 31, 2013 6982 Dec 31, 2014 6896 Dec 31, 2015 6616 Dec 31, 2016 6239 Dec 31, 2017 5823

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/13514.tsv"}, "mark": "area", "encoding": {"color": {"value": "#0570b0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Number of registered motorcycles"}, "field": "Number of registered motorcycles"}}, "title": ["Honda CBR1000RR registered motorcycle numbers", "in Great Britain from 2004 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Germany has thr highest number of visits to the Christmas Market with numbers recording just under 300 million. This is followed by France with 75 million visits to their Christmas market. All other countries show less than 50 million visits, with Sweden having the least.

Chart data: Number of visits in millions Country 270 Germany 78 France 24 UK 21 Austria 13 Italy 12 Belgium 9.9 Netherlands 8.9 Ireland (Republic) 8.5 Poland 8.3 Denmark 8.2 Switzerland 7.5 Finland 7.3 Spain 7.1 Norway 5.6 Czech Republic 4.4 Sweden

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/13515.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#7fc97f"}, "x": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Number of visits in millions"}, "field": "Number of visits in millions"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}}, "title": ["Number of visits to Christmas markets in", "Europe in 2014 , by country (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The Chilean budget balance in relation to GDP is always in negative. It starts at around -0.02 in 2015 and stays relatively steady, with some increase, and then some decrease. However in 2020 there is a huge increase in budget balance in relation to GDP, up to nearly -0.09.  it then drops down, but not to the previous level over the next 5 years, until by 2025 it is lower than at the start of the measurement period.

Chart data: Year Budget balance in relation to GDP 2025* −0.0155 2024* −0.0232 2023* −0.0304 2022* −0.038 2021* −0.0401 2020* −0.0871 2019 −0.0265 2018 −0.0147 2017 −0.0262 2016 −0.0265 2015 −0.0208

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/13516.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#999999"}, "x": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Budget balance in relation to GDP"}, "field": "Budget balance in relation to GDP"}}, "title": ["Chile : Budget balance between 2015 to 2025", "in relation to GDP"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The budget balance hit the lowest point in 2020. There was a significant drop from 0.025 to 0.085 between 2018 and 2019.  It is expected to rise 0.05 year on year from 2022 to 2025.

Chart data: Year Budget balance in relation to GDP 2025* −0.0155 2024* −0.0232 2023* −0.0304 2022* −0.038 2021* −0.0401 2020* −0.0871 2019 −0.0265 2018 −0.0147 2017 −0.0262 2016 −0.0265 2015 −0.0208

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/13516.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#999999"}, "x": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Budget balance in relation to GDP"}, "field": "Budget balance in relation to GDP"}}, "title": ["Chile : Budget balance between 2015 to 2025", "in relation to GDP"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The sharpest rise and fall is between 2017 to 2019.

Chart data: Year Transfer spending in million pounds Dec 31, 2005 70 Dec 31, 2006 60 Dec 31, 2007 175 Dec 31, 2008 170 Dec 31, 2009 30 Dec 31, 2010 225 Dec 31, 2011 60 Dec 31, 2012 120 Dec 31, 2013 130 Dec 31, 2014 130 Dec 31, 2015 175 Dec 31, 2016 215 Dec 31, 2017 430 Dec 31, 2018 180 Dec 31, 2019 230

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/13517.tsv"}, "mark": "line", "encoding": {"color": {"value": "#4598ae"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Transfer spending in million pounds"}, "field": "Transfer spending in million pounds"}}, "title": ["Spending of Premier League clubs in the", "January transfer window from 2006 to 2020", "(in million pounds)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: This chart represents a fluctuational trend. The spending of Premier League Clubs jumped from less than a 100 million to almost 200 million from 2005 to 2006 and it stayed on the same level till 2007. It dropped to less than 50 million in a year time, then it jumped again to over than 200 million in 2011. In 2012 it was low again, with around 75 million spending. Since 2012 the spending started to grow and it was the highest in 2018, with over 400 million pounds spending. In the year after it dropped massively by over 200 million pounds.

Chart data: Year Transfer spending in million pounds Dec 31, 2005 70 Dec 31, 2006 60 Dec 31, 2007 175 Dec 31, 2008 170 Dec 31, 2009 30 Dec 31, 2010 225 Dec 31, 2011 60 Dec 31, 2012 120 Dec 31, 2013 130 Dec 31, 2014 130 Dec 31, 2015 175 Dec 31, 2016 215 Dec 31, 2017 430 Dec 31, 2018 180 Dec 31, 2019 230

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/13517.tsv"}, "mark": "line", "encoding": {"color": {"value": "#4598ae"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Transfer spending in million pounds"}, "field": "Transfer spending in million pounds"}}, "title": ["Spending of Premier League clubs in the", "January transfer window from 2006 to 2020", "(in million pounds)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Paul pierce remains the top stealer with over 1,500 steals, for the Boston Celtics. He is closely followed by Larry Bird. The remaining players are 1000 or under with no one falling below 500 steals. The player with the least number of steals is Dave Cowens.

Chart data: Boston Celtics all-time steals leaders Steals Paul Pierce 1583 Larry Bird 1556 Rajon Rondo 990 Robert Parish 873 Antoine Walker 828 Dee Brown 675 Danny Ainge 671 Dennis Johnson 654 Marcus Smart 615 Dave Cowens 569

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/13523.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#b96db8"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Boston Celtics all-time steals leaders"}, "y": {"type": "quantitative", "axis": {"title": "Steals"}, "field": "Steals"}}, "title": ["Boston Celtics all-time steals leaders from", "1946 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between 2006 and 2016, there was a profit made on earning per share. Following 2016 there was a very sharp drop in earnings, leading to a significant low in 2017. Following this, there was an almost equally sharp recovery.

Chart data: Year Earnings per share in U.S. dollars Dec 31, 2005 0.68 Dec 31, 2006 2.49 Dec 31, 2007 0.78 Dec 31, 2008 2.29 Dec 31, 2009 3.72 Dec 31, 2010 3.1 Dec 31, 2011 2.25 Dec 31, 2012 1.49 Dec 31, 2013 3.58 Dec 31, 2014 1.84 Dec 31, 2015 0.07 Dec 31, 2016 −16.26 Dec 31, 2017 −2.35 Dec 31, 2018 −0.91

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/13529.tsv"}, "mark": "area", "encoding": {"color": {"value": "#74a9cf"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Earnings per share in U.S. dollars"}, "field": "Earnings per share in U\\.S\\. dollars"}}, "title": ["Earnings per share of Teva Pharmaceutical", "Industries from 2006 to 2019 (in U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Giancarlo stanton has had far more home runs that any other player in the chart.

Chart data: Miami Marlins all-time home run leaders Number of home runs Giancarlo Stanton 267 Dan Uggla 154 Hanley Ramirez 148 Mike Lowell 143 Miguel Cabrera 138 Derrek Lee 129 Gary Sheffield 122 Jeff Conine 120 Cliff Floyd 110 Preston Wilson 104

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/13541.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#545454"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Miami Marlins all-time home run leaders"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Number of home runs"}, "field": "Number of home runs"}}, "title": ["Miami Marlins all-time home run leaders", "as of October 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: stanton scored most home runs with over 250. The lowest scored was by wilson. Most get between 100 and 150 home runs.

Chart data: Miami Marlins all-time home run leaders Number of home runs Giancarlo Stanton 267 Dan Uggla 154 Hanley Ramirez 148 Mike Lowell 143 Miguel Cabrera 138 Derrek Lee 129 Gary Sheffield 122 Jeff Conine 120 Cliff Floyd 110 Preston Wilson 104

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/13541.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#545454"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Miami Marlins all-time home run leaders"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Number of home runs"}, "field": "Number of home runs"}}, "title": ["Miami Marlins all-time home run leaders", "as of October 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Giancarlo Stanton is just above 250 home runs, which is 100 above the rest. The remainder are between 100 and 150 apart from Dann Uggla at just over 150 and Hanley Ramirez at exactly 150.

Chart data: Miami Marlins all-time home run leaders Number of home runs Giancarlo Stanton 267 Dan Uggla 154 Hanley Ramirez 148 Mike Lowell 143 Miguel Cabrera 138 Derrek Lee 129 Gary Sheffield 122 Jeff Conine 120 Cliff Floyd 110 Preston Wilson 104

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/13541.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#545454"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Miami Marlins all-time home run leaders"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Number of home runs"}, "field": "Number of home runs"}}, "title": ["Miami Marlins all-time home run leaders", "as of October 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: TonyKokNL (FIFA) earned the least prize money in U.S dollars. AnishGiri the most prize money in U.S dollars in 2019 being the only player to earn more than $60000. The majority of the Leading eSporters (6 out of 10) from the Netherlands earned less than $20000 in prize money.

Chart data: Prize money in U.S. dollars Leading eSporters from the Netherlands  68376.25 AnishGiri (Chess) 43100 chrisJ (CS:GO) 39757.45 ViolentPanda (Rocket Leage) 34016.67 Thijs (Hearthstone) 18632.45 Flakes (Rocket League) 17546.78 CRUC1AL (CS:GO) 17168.76 Seleri (Dota) 17168.76 Shad (Dota) 16650 Mitr0 (Fortnite) 13625 TonyKokNL (FIFA)

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/13542.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#D9B300"}, "x": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Prize money in U.S. dollars"}, "field": "Prize money in U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Leading eSporters from the Netherlands "}}, "title": ["Leading eSporters from the Netherlands in", "2019 , by total prize money earned throughout", "the year (in U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}