delen/vistext huggingface dataset:
Chart description: The highest cause of death in the US is heart disease, with over 150 deaths out of every 100,000. This is closely followed by malignant neoplasms, with just under 150 deaths out of every 100,000. All other causes of death are under 50 every 100,000 with none standing out as being hugely greater than any other. The lowest cause of death is nephritis, causing less than 15 deaths for every 100,000.

Chart data: Cause of death Deaths per 100,000 population Heart disease 163.6 Malignant neoplasms 149.1 Accidents (unintentional injuries) 48 Chronic lower respiratorydiseases 39.7 Cerebrovascular diseases 37.1 Alzheimer’s disease 30.5 Diabetes mellitus 21.4 Influenza and pneumonia 14.9 Nephritis, nephrotic syndrome and nephrosis 12.9 Intentional self-harm (suicide) 14.2

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/1932.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#94aace"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Cause of death"}, "y": {"type": "quantitative", "axis": {"title": "Deaths per 100,000 population"}, "field": "Deaths per 100,000 population"}}, "title": ["Rates of the 10 leading causes of death", "in the United States in 2018 (per 100,000", "population)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Bielefeld-Detmold has the highest number of billionaires who inherited their wealth. Cities in India are represented twice in the chart, with Delhi and Mumbai both having more than 0.6 of billionaires inheriting their wealth. Five of the cities represented in the bar chart are European cities. The chart shows Paris has the lowest number of billionaires who inherited their wealth. Nice has the second highest number of billionaires that inherited their wealth.

Chart data: Response Share of billionaires who inherited Bielefeld-Detmold 0.82 Nice, Monaco 0.8 Sao Paulo 0.74 Seoul 0.72 Delhi 0.71 Stockholm 0.7 Mumbai 0.67 Zurich 0.67 Santiago 0.67 Paris 0.63

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/19335.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#E044A7"}, "x": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Share of billionaires who inherited"}, "field": "Share of billionaires who inherited"}}, "title": ["Top ten cities worldwide with the largest", "share of billionaires who inherited their", "wealth in 2015"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: 2017 saw a dip in the amount of sales for potted plants in canada.

Chart data: Year Sales in million Canadian dollars Dec 31, 2009 701.34 Dec 31, 2010 669.37 Dec 31, 2011 653.42 Dec 31, 2012 677.54 Dec 31, 2013 706.37 Dec 31, 2014 785.88 Dec 31, 2015 811.56 Dec 31, 2016 789.68 Dec 31, 2017 834.19 Dec 31, 2018 852.97

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/19343.tsv"}, "mark": "line", "encoding": {"color": {"value": "#bf5b17"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Sales in million Canadian dollars"}, "field": "Sales in million Canadian dollars"}}, "title": ["Sales of potted plants in Canada from 2010", "to 2019 (in million Canadian dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The cahert shows an overall upward trend in sales, with a slight off-trend dip in 2012 and 2017.

Chart data: Year Sales in million Canadian dollars Dec 31, 2009 701.34 Dec 31, 2010 669.37 Dec 31, 2011 653.42 Dec 31, 2012 677.54 Dec 31, 2013 706.37 Dec 31, 2014 785.88 Dec 31, 2015 811.56 Dec 31, 2016 789.68 Dec 31, 2017 834.19 Dec 31, 2018 852.97

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/19343.tsv"}, "mark": "line", "encoding": {"color": {"value": "#bf5b17"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Sales in million Canadian dollars"}, "field": "Sales in million Canadian dollars"}}, "title": ["Sales of potted plants in Canada from 2010", "to 2019 (in million Canadian dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Sales of potted plants seem to be rising. Although I'm not sure of the wording as this does not necessarily mean that more potted plants are sold, they could merely have become more expensive over time. It rose from around 700 dollars in 2010 to over 800 dollars in 2018.

Chart data: Year Sales in million Canadian dollars Dec 31, 2009 701.34 Dec 31, 2010 669.37 Dec 31, 2011 653.42 Dec 31, 2012 677.54 Dec 31, 2013 706.37 Dec 31, 2014 785.88 Dec 31, 2015 811.56 Dec 31, 2016 789.68 Dec 31, 2017 834.19 Dec 31, 2018 852.97

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/19343.tsv"}, "mark": "line", "encoding": {"color": {"value": "#bf5b17"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Sales in million Canadian dollars"}, "field": "Sales in million Canadian dollars"}}, "title": ["Sales of potted plants in Canada from 2010", "to 2019 (in million Canadian dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of CT scanners in Germany between 2005-2017 has slowly but steadily increased from under 2500 to nearly 3000.

Chart data: Year Number of CT scanners Dec 31, 2004 2434 Dec 31, 2005 2399 Dec 31, 2006 2446 Dec 31, 2007 2558 Dec 31, 2008 2559 Dec 31, 2009 2643 Dec 31, 2010 2688 Dec 31, 2011 2735 Dec 31, 2012 2719 Dec 31, 2013 2862 Dec 31, 2014 2866 Dec 31, 2015 2896 Dec 31, 2016 2904

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/19348.tsv"}, "mark": "area", "encoding": {"color": {"value": "#829eb1"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Number of CT scanners"}, "field": "Number of CT scanners"}}, "title": ["Number of computed tomography (CT) scanners", "in Germany from 2005 to 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of ct scanners rose linearly from 2006 to 2016 at a rate of spproximately 50 a year.

Chart data: Year Number of CT scanners Dec 31, 2004 2434 Dec 31, 2005 2399 Dec 31, 2006 2446 Dec 31, 2007 2558 Dec 31, 2008 2559 Dec 31, 2009 2643 Dec 31, 2010 2688 Dec 31, 2011 2735 Dec 31, 2012 2719 Dec 31, 2013 2862 Dec 31, 2014 2866 Dec 31, 2015 2896 Dec 31, 2016 2904

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/19348.tsv"}, "mark": "area", "encoding": {"color": {"value": "#829eb1"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Number of CT scanners"}, "field": "Number of CT scanners"}}, "title": ["Number of computed tomography (CT) scanners", "in Germany from 2005 to 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Angola birth rate has been on a downward trend , has dipped from approx 45 per thousand population to 40.

Chart data: Year Birth rate per thousand population Dec 31, 2007 46.56 Dec 31, 2008 46.14 Dec 31, 2009 45.66 Dec 31, 2010 45.1 Dec 31, 2011 44.49 Dec 31, 2012 43.85 Dec 31, 2013 43.18 Dec 31, 2014 42.52 Dec 31, 2015 41.88 Dec 31, 2016 41.28 Dec 31, 2017 40.73

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/19350.tsv"}, "mark": "area", "encoding": {"color": {"value": "#fdcdac"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Birth rate per thousand population"}, "field": "Birth rate per thousand population"}}, "title": ["Angola : Birth rate from 2008 to 2018 (per", "1,000 inhabitants)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The chart shows a steady increase at the life expectancy in Portugal between 1920 and 2020 from 36 years to 82 years.

Chart data: Year Life expectancy in years Dec 31, 1914 35.6 Dec 31, 1919 32.56 Dec 31, 1924 35.6 Dec 31, 1929 38.77 Dec 31, 1934 44.04 Dec 31, 1939 49.32 Dec 31, 1944 51.02 Dec 31, 1949 56.08 Dec 31, 1954 60.32 Dec 31, 1959 62.36 Dec 31, 1964 64.45 Dec 31, 1969 66.36 Dec 31, 1974 68.33 Dec 31, 1979 70.41 Dec 31, 1984 72.53 Dec 31, 1989 74.04 Dec 31, 1994 74.9 Dec 31, 1999 76 Dec 31, 2004 77.59 Dec 31, 2009 79.28 Dec 31, 2014 80.62 Dec 31, 2019 81.75

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/19352.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ec8431"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Life expectancy in years"}, "field": "Life expectancy in years"}}, "title": ["Life expectancy (from birth) in Portugal", ", from 1915 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Labour have the greatest number of twitter followers, followed by the conservatives, then green,snow and lib dems. Plaid cymru and dup have the least followers.

Chart data: political party Number of followers in thousands Labour 871.6 Conservatives 499.6 Liberal Democrats 325.8 Green 298.3 SNP 281.7 Brexit Party 217.1 UKIP 212.1 Sinn Féin 130.8 Plaid Cymru 48.6 DUP 43.5

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/19354.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ce6dbd"}, "x": {"type": "nominal", "axis": {"labelAngle": -90}, "bin": false, "field": "political party"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Number of followers in thousands"}, "field": "Number of followers in thousands"}}, "title": ["Number of followers on Twitter for major", "political parties in the United Kingdom (UK)", "as of June 3 , 2020 (in 1,000s)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Labour party has the largest number of followers DUP has the least number of followers.

Chart data: political party Number of followers in thousands Labour 871.6 Conservatives 499.6 Liberal Democrats 325.8 Green 298.3 SNP 281.7 Brexit Party 217.1 UKIP 212.1 Sinn Féin 130.8 Plaid Cymru 48.6 DUP 43.5

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/19354.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ce6dbd"}, "x": {"type": "nominal", "axis": {"labelAngle": -90}, "bin": false, "field": "political party"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Number of followers in thousands"}, "field": "Number of followers in thousands"}}, "title": ["Number of followers on Twitter for major", "political parties in the United Kingdom (UK)", "as of June 3 , 2020 (in 1,000s)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Posting inappropriate or negative things on social media generally impacts your chance and getting a new job.

Chart data: Share of respondents Response 0.4 Provocative or inappropriate photographs, videos or information 0.36 Evidence of candidate drinking or using drugs 0.31 Discriminatory comments related to race, gender, religion 0.3 Was linked to criminal behavior 0.27 Lied about qualifications 0.27 Had poor communication skills 0.25 Bad-mouthed their previous company or fellow employee 0.22 Screen name was unprofessional 0.2 Shared confidential information from previous employers 0.16 Lied about an absence 0.12 Posted too frequently

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/19366.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#7b4173"}, "x": {"type": "quantitative", "axis": {"title": "Share of respondents"}, "field": "Share of respondents"}, "y": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Response"}}, "title": ["Social media discoveries made by online", "recruiters that lead to a candidate not getting", "a job as of May 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The highest share of respondents is the presence of inappropriate photos, followed by evidence of drinking at 0.4 and 0.35 respectively. Posting too frequently has the lowest amount at only 0.9. The higher shares usually consist of more serious activity such as illegal acts, discrimination or drinking, though the highest share is a more broad topic.

Chart data: Share of respondents Response 0.4 Provocative or inappropriate photographs, videos or information 0.36 Evidence of candidate drinking or using drugs 0.31 Discriminatory comments related to race, gender, religion 0.3 Was linked to criminal behavior 0.27 Lied about qualifications 0.27 Had poor communication skills 0.25 Bad-mouthed their previous company or fellow employee 0.22 Screen name was unprofessional 0.2 Shared confidential information from previous employers 0.16 Lied about an absence 0.12 Posted too frequently

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/19366.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#7b4173"}, "x": {"type": "quantitative", "axis": {"title": "Share of respondents"}, "field": "Share of respondents"}, "y": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Response"}}, "title": ["Social media discoveries made by online", "recruiters that lead to a candidate not getting", "a job as of May 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: When searching for poker related keywords, the most popular search is 'poker' as just over 60,000 searches were made this way. 'poker hands was another popular search at around 47,000. All other words had roughly the same amount of searches but there was a lot of other related searches that we do not know the exact wording for,.

Chart data: keywords Searches in thousands poker 60.5 poker hands 33.1 poker games 12.1 texas holdem poker 9.9 how to play poker 9.9 poker rules 8.1 free poker 5.4 online poker 5.4 texas holdem 4.4 poker chips 3.6 other keywords 46.39

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/19367.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f58518"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "keywords"}, "y": {"type": "quantitative", "axis": {"title": "Searches in thousands"}, "field": "Searches in thousands"}}, "title": ["Online poker related keywords ranked by", "search volume in the United Kingdom (UK)", "in March 2016 (in 1,000 searches)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Life expectancy in Qatar has increased marginally in the 9 years from 2008 to 2017, rising from 79 years to 80 years.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 78.78 Dec 31, 2008 78.95 Dec 31, 2009 79.11 Dec 31, 2010 79.26 Dec 31, 2011 79.4 Dec 31, 2012 79.53 Dec 31, 2013 79.65 Dec 31, 2014 79.76 Dec 31, 2015 79.87 Dec 31, 2016 79.98 Dec 31, 2017 80.1

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/19376.tsv"}, "mark": "line", "encoding": {"color": {"value": "#AB47BC"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Life expectancy at birth in years"}, "field": "Life expectancy at birth in years"}}, "title": ["Qatar : Life expectancy at birth from 2008", "to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The line is almost horizontal showing little variance. There is a slight increase at the beginning of the line before it flattens in 2011.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 78.78 Dec 31, 2008 78.95 Dec 31, 2009 79.11 Dec 31, 2010 79.26 Dec 31, 2011 79.4 Dec 31, 2012 79.53 Dec 31, 2013 79.65 Dec 31, 2014 79.76 Dec 31, 2015 79.87 Dec 31, 2016 79.98 Dec 31, 2017 80.1

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/19376.tsv"}, "mark": "line", "encoding": {"color": {"value": "#AB47BC"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Life expectancy at birth in years"}, "field": "Life expectancy at birth in years"}}, "title": ["Qatar : Life expectancy at birth from 2008", "to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: No trends are identifiable, as it only shows one year. Loans in China and Australia dominate the region.

Chart data: Country Value in U.S. billion dollars China 1919 Australia 1078 Korea 333 Taiwan 187 Thailand 51 India 95 Malaysia 108 Singapore 134 Hong Kong 127 Indonesia 26 Philippines 9

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/19383.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#52d2ca"}, "x": {"type": "nominal", "axis": {"labelAngle": 90}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Value in U.S. billion dollars"}, "field": "Value in U\\.S\\. billion dollars"}}, "title": ["Value of mortgage loans in the Asia Pacific", "region in 2014 , by country or region (in", "billion U.S dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Net migration dipped in 2016, but has since increased again.

Chart data: Year Surplus of migration Dec 31, 2007 7700 Dec 31, 2008 6583 Dec 31, 2009 7849 Dec 31, 2010 11004 Dec 31, 2011 10036 Dec 31, 2012 10348 Dec 31, 2013 11049 Dec 31, 2014 11159 Dec 31, 2015 9446 Dec 31, 2016 10548 Dec 31, 2017 10659 Dec 31, 2018 11075

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/19386.tsv"}, "mark": "line", "encoding": {"color": {"value": "#1696d2"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Surplus of migration"}, "field": "Surplus of migration"}}, "title": ["Net migration in Luxembourg from 2008 to", "2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is a general increase in the surplus of migration from 2008 to 2019. The lowest surplus of migration occurs in 2009 at around 7000. There is a large increase in the surplus of migration between 2009 and 2011, being the peak. There is a decrease in the surplus of migration between 2015-16, before another increase.

Chart data: Year Surplus of migration Dec 31, 2007 7700 Dec 31, 2008 6583 Dec 31, 2009 7849 Dec 31, 2010 11004 Dec 31, 2011 10036 Dec 31, 2012 10348 Dec 31, 2013 11049 Dec 31, 2014 11159 Dec 31, 2015 9446 Dec 31, 2016 10548 Dec 31, 2017 10659 Dec 31, 2018 11075

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/19386.tsv"}, "mark": "line", "encoding": {"color": {"value": "#1696d2"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Surplus of migration"}, "field": "Surplus of migration"}}, "title": ["Net migration in Luxembourg from 2008 to", "2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Migration shot up in 2010 and the surplus of migration has been fluctuating around 9,000 to 11,000 since.

Chart data: Year Surplus of migration Dec 31, 2007 7700 Dec 31, 2008 6583 Dec 31, 2009 7849 Dec 31, 2010 11004 Dec 31, 2011 10036 Dec 31, 2012 10348 Dec 31, 2013 11049 Dec 31, 2014 11159 Dec 31, 2015 9446 Dec 31, 2016 10548 Dec 31, 2017 10659 Dec 31, 2018 11075

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/19386.tsv"}, "mark": "line", "encoding": {"color": {"value": "#1696d2"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Surplus of migration"}, "field": "Surplus of migration"}}, "title": ["Net migration in Luxembourg from 2008 to", "2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a significant loss in 2011. The growth for 2018 was much better. The growth is affected by the seasons.

Chart data: Year Comparable sales growth Dec 31, 2005 0.03 Dec 31, 2006 0.019 Dec 31, 2007 0.01 Dec 31, 2008 0.032 Dec 31, 2009 −0.007 Dec 31, 2010 −0.015 Dec 31, 2011 0.003 Dec 31, 2012 0.02 Dec 31, 2013 −0.006 Dec 31, 2014 0.006 Dec 31, 2015 0.01 Dec 31, 2016 0.016 Dec 31, 2017 0.021 Dec 31, 2018 0.037 Dec 31, 2019 0.029

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/1939.tsv"}, "mark": "line", "encoding": {"color": {"value": "#4572a7"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Comparable sales growth"}, "field": "Comparable sales growth"}}, "title": ["Comparable sales growth of Walmart U.S.", "in the United States from fiscal year 2006", "to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There has been a consistent steady increase in passenger miles since 1990, increasing form 3500 to 5500 billion miles between 1990 and 2018.

Chart data: Year U.S. passenger-miles in billions Dec 31, 1989 3539.6 Dec 31, 1990 3578.58 Dec 31, 1991 3676.69 Dec 31, 1992 3747.07 Dec 31, 1993 3939.88 Dec 31, 1994 3848.46 Dec 31, 1995 3951.01 Dec 31, 1996 4071.14 Dec 31, 1997 4182.07 Dec 31, 1998 4285.3 Dec 31, 1999 4370.49 Dec 31, 2000 4623.4 Dec 31, 2001 4646.52 Dec 31, 2002 4701.83 Dec 31, 2003 4824.65 Dec 31, 2004 4867.61 Dec 31, 2005 4908.06 Dec 31, 2006 4959.77 Dec 31, 2007 4900.17 Dec 31, 2008 5000.59 Dec 31, 2009 5009.81 Dec 31, 2010 4997.05 Dec 31, 2011 5046.33 Dec 31, 2012 5083.12 Dec 31, 2013 5158.16 Dec 31, 2014 5282.71 Dec 31, 2015 5411.83 Dec 31, 2016 5482.19 Dec 31, 2017 5545.85

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/19404.tsv"}, "mark": "area", "encoding": {"color": {"value": "#a6761d"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "U.S. passenger-miles in billions"}, "field": "U\\.S\\. passenger-miles in billions"}}, "title": ["Number of U.S. passenger-miles in highway", "traffic from 1990 to 2018 (in billions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The output from the US tobacco farmers has fallen by over 1,000 million dollars in the last 20 years.

Chart data: Year Gross output in million U.S. dollars Dec 31, 1997 2714 Dec 31, 1998 2084 Dec 31, 1999 2562 Dec 31, 2000 2195 Dec 31, 2001 1436 Dec 31, 2002 1465 Dec 31, 2003 1776 Dec 31, 2004 1139 Dec 31, 2005 1239 Dec 31, 2006 1378 Dec 31, 2007 1535 Dec 31, 2008 1573 Dec 31, 2009 1315 Dec 31, 2010 1484

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/19405.tsv"}, "mark": "area", "encoding": {"color": {"value": "#b96db8"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Gross output in million U.S. dollars"}, "field": "Gross output in million U\\.S\\. dollars"}}, "title": ["U.S. tobacco farming gross output from 1998", "to 2011 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: the 'any animal related injury per 100,000 population' increases year upon year but you cannot draw any useful data from which ones are increasing and whether they are in k=line.

Chart data: Per 100,000 population type of injury 418.2 Any animal-related injury* 141.6 Non-venomous arthropods 103.6 Dog bites 77.8 Venomous arthropods 30.6 Other animal bites 24.5 All other animal-related injuries 22.2 Animal being ridden 12.8 Venomous sea animals/plants 2.8 Venomous reptiles 1.1 Non-venomous reptiles 1 Rat bites 0.4 Animal-related accident involving vehicle 0.4 Animal being drawn

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/19410.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#30a2da"}, "x": {"type": "quantitative", "axis": {"title": "Per 100,000 population"}, "field": "Per 100,000 population"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "type of injury"}}, "title": ["U.S. rates of treat-and-release ED visits", "for animal-related injuries in 2009 , by", "type of injury (per 100,000 population)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Non-venomous arthropods are the most common cause of animal-related injuries for treat-and-release patients in the US during 2009, followed by dog bites. Animals that can be ridden are responsible for some injuries, but which animals this refers to is not included in the chart. There are a smaller number of injuries related to venomous animals than non-venomous ones.

Chart data: Per 100,000 population type of injury 418.2 Any animal-related injury* 141.6 Non-venomous arthropods 103.6 Dog bites 77.8 Venomous arthropods 30.6 Other animal bites 24.5 All other animal-related injuries 22.2 Animal being ridden 12.8 Venomous sea animals/plants 2.8 Venomous reptiles 1.1 Non-venomous reptiles 1 Rat bites 0.4 Animal-related accident involving vehicle 0.4 Animal being drawn

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/19410.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#30a2da"}, "x": {"type": "quantitative", "axis": {"title": "Per 100,000 population"}, "field": "Per 100,000 population"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "type of injury"}}, "title": ["U.S. rates of treat-and-release ED visits", "for animal-related injuries in 2009 , by", "type of injury (per 100,000 population)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}