delen/vistext huggingface dataset:
Chart description: River Plate is the most popular soccer club in Argentina followed by Boca Juniors.

Chart data: Number of spectators name of football club 48073 River Plate 43141 Boca Juniors 35107 Talleres (C) 29532 Rosario Central 29512 Independiente 26716 Racing Club 25074 Estudiantes (LP) 24667 Belgrano 17454 San Lorenzo 15061 Vélez Sarsfield 14503 Atlético Tucumán 14009 Unión 12039 Colón 8137 Defensa y Justicia 8095 Huracán 4057 Argentinos Juniors 4007 Godoy Cruz

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/6855.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fdcdac"}, "x": {"type": "quantitative", "axis": {"labelAngle": -90, "title": "Number of spectators"}, "field": "Number of spectators"}, "y": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "name of football club"}}, "title": ["Average attendance per game at the Argentinian", "soccer championship Superliga during 2018/2019", "season , by team"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The revenue has increased in total, by almost 3 times, from 2001/2 to 2018/2019. There are several years where the income is less than the preceeding year. Although there are some years with lower income, generally the income has steadily increased over time.

Chart data: Year Revenue in million U.S. dollars 18/19 287 17/18 246 16/17 223 15/16 178 14/15 157 13/14 153 12/13 140 11/12 117 10/11 132 09/10 127 08/09 121 07/08 114 06/07 82 05/06 77 04/05 78 03/04 88 02/03 97 01/02 96

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/6856.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#F06292"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Revenue in million U.S. dollars"}, "field": "Revenue in million U\\.S\\. dollars"}}, "title": ["Revenue of the Portland Trail Blazers from", "2001/02 to 2018/19 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Income has shown significant increase in the last 6/7 years after largely remaining stagnant for a decade.

Chart data: Year Revenue in million U.S. dollars 18/19 287 17/18 246 16/17 223 15/16 178 14/15 157 13/14 153 12/13 140 11/12 117 10/11 132 09/10 127 08/09 121 07/08 114 06/07 82 05/06 77 04/05 78 03/04 88 02/03 97 01/02 96

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/6856.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#F06292"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Revenue in million U.S. dollars"}, "field": "Revenue in million U\\.S\\. dollars"}}, "title": ["Revenue of the Portland Trail Blazers from", "2001/02 to 2018/19 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: French brands such as Louis Vuitton and Chanel have the most followers. The brands with the least followers tend to be well known for shoes, such as Jimmy Choo and Christian Louboutin.

Chart data: brand name Followers in millions Louis Vuitton 23.28 Chanel 21.96 Gucci 18.2 Michael Kors 17.94 Burberry 17.31 Dior 16.65 Dolce & Gabbana 11.74 Ralph Lauren 9.16 Armani 8.63 Coach 7.36 Prada 6.6 Versace 5.37 Jimmy Choo 3.71 Christian Louboutin 3.35 Hermès 3.13

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/6864.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#b96db8"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "brand name"}, "y": {"type": "quantitative", "axis": {"title": "Followers in millions"}, "field": "Followers in millions"}}, "title": ["Leading luxury brands with the most followers", "on Facebook as of May 2019 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Life expectancy from 1850 to 1950 in Russia did not change very much. From 1850 to 1900 is was around 30 years, then from 1900 to 1950 it fluctuated more from the early 20's to just over 40. In 1948/9 it hit a low of about 20 years and then the life expectancy started to rise rapidly to around 70 years in the early 1950's. This figure decline to an average life expectancy of 65 in the early 2000's, rising again to 70, after that.

Chart data: Year Life expectancy in years Dec 31, 1844 29.57 Dec 31, 1849 27.26 Dec 31, 1854 28.73 Dec 31, 1859 29.46 Dec 31, 1864 29.57 Dec 31, 1869 29.21 Dec 31, 1874 29.02 Dec 31, 1879 30.21 Dec 31, 1884 30.3 Dec 31, 1889 32.32 Dec 31, 1894 26.06 Dec 31, 1899 29.8 Dec 31, 1904 30.66 Dec 31, 1909 32.61 Dec 31, 1914 33.69 Dec 31, 1919 25.8 Dec 31, 1924 30.68 Dec 31, 1929 37.74 Dec 31, 1934 32.59 Dec 31, 1939 41.44 Dec 31, 1944 23.6 Dec 31, 1949 50.2 Dec 31, 1954 58.52 Dec 31, 1959 64.8 Dec 31, 1964 67.88 Dec 31, 1969 68.48 Dec 31, 1974 68.31 Dec 31, 1979 67.57 Dec 31, 1984 67.47 Dec 31, 1989 69.13 Dec 31, 1994 66.58 Dec 31, 1999 65.7 Dec 31, 2004 64.95 Dec 31, 2009 67.14 Dec 31, 2014 70.27 Dec 31, 2019 72.29

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/6865.tsv"}, "mark": "line", "encoding": {"color": {"value": "#f58518"}, "x": {"type": "temporal", "axis": {"labelAngle": 90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Life expectancy in years"}, "field": "Life expectancy in years"}}, "title": ["Life expectancy (from birth) in Russia ,", "from 1845 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The production of plywood and veneer was significantly greater in the year 2004.

Chart data: Year Production in million cubic feet Dec 31, 2002 1052 Dec 31, 2003 1082 Dec 31, 2004 1068 Dec 31, 2005 989 Dec 31, 2006 898 Dec 31, 2007 754 Dec 31, 2008 616 Dec 31, 2009 655 Dec 31, 2010 653 Dec 31, 2011 679 Dec 31, 2012 703 Dec 31, 2013 693 Dec 31, 2014 683 Dec 31, 2015 703 Dec 31, 2016 729

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/6867.tsv"}, "mark": "area", "encoding": {"color": {"value": "#fcbfd2"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Production in million cubic feet"}, "field": "Production in million cubic feet"}}, "title": ["Plywood and veneer production in the United", "States from 2003 to 2017 (in million cubic", "feet)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Plywood and veneer production reached a peak in 2004 and then fell sharply until 2009 where it started to make a gradual increase again.

Chart data: Year Production in million cubic feet Dec 31, 2002 1052 Dec 31, 2003 1082 Dec 31, 2004 1068 Dec 31, 2005 989 Dec 31, 2006 898 Dec 31, 2007 754 Dec 31, 2008 616 Dec 31, 2009 655 Dec 31, 2010 653 Dec 31, 2011 679 Dec 31, 2012 703 Dec 31, 2013 693 Dec 31, 2014 683 Dec 31, 2015 703 Dec 31, 2016 729

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/6867.tsv"}, "mark": "area", "encoding": {"color": {"value": "#fcbfd2"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Production in million cubic feet"}, "field": "Production in million cubic feet"}}, "title": ["Plywood and veneer production in the United", "States from 2003 to 2017 (in million cubic", "feet)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The most plywood and veneer production in the United States occurred in 2005, which was roughly 1500 million cubic feet. After the year 2006 there was a rapid decline in plywood and and veneer production in the United States to about 600 million cubic feet in 2009. Following this there is a general increase in the production of plywood and veneer production in the United States.

Chart data: Year Production in million cubic feet Dec 31, 2002 1052 Dec 31, 2003 1082 Dec 31, 2004 1068 Dec 31, 2005 989 Dec 31, 2006 898 Dec 31, 2007 754 Dec 31, 2008 616 Dec 31, 2009 655 Dec 31, 2010 653 Dec 31, 2011 679 Dec 31, 2012 703 Dec 31, 2013 693 Dec 31, 2014 683 Dec 31, 2015 703 Dec 31, 2016 729

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/6867.tsv"}, "mark": "area", "encoding": {"color": {"value": "#fcbfd2"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Production in million cubic feet"}, "field": "Production in million cubic feet"}}, "title": ["Plywood and veneer production in the United", "States from 2003 to 2017 (in million cubic", "feet)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The share of households with internet access in Greece has increased from 0.25 to 0.75~ in a decade.

Chart data: Response Share of households Dec 31, 2006 0.25 Dec 31, 2007 0.31 Dec 31, 2008 0.38 Dec 31, 2009 0.46 Dec 31, 2010 0.5 Dec 31, 2011 0.54 Dec 31, 2012 0.56 Dec 31, 2013 0.66 Dec 31, 2014 0.68 Dec 31, 2015 0.69 Dec 31, 2016 0.71 Dec 31, 2017 0.76

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/6869.tsv"}, "mark": "line", "encoding": {"color": {"value": "#386cb0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Share of households"}, "field": "Share of households"}}, "title": ["Share of households with internet access", "in Greece from 2007 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Households with internet access has steadily increased between 2007 and 2018, with the highest increase between 2008-2010 at approximately + 0.2. There was also a sharp increase between 2013-2014 of +0.1.

Chart data: Response Share of households Dec 31, 2006 0.25 Dec 31, 2007 0.31 Dec 31, 2008 0.38 Dec 31, 2009 0.46 Dec 31, 2010 0.5 Dec 31, 2011 0.54 Dec 31, 2012 0.56 Dec 31, 2013 0.66 Dec 31, 2014 0.68 Dec 31, 2015 0.69 Dec 31, 2016 0.71 Dec 31, 2017 0.76

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/6869.tsv"}, "mark": "line", "encoding": {"color": {"value": "#386cb0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Share of households"}, "field": "Share of households"}}, "title": ["Share of households with internet access", "in Greece from 2007 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was an increase in the global cotton stocks-to-use ratio before the 2000s. The global cotton stocks-to-use ratio has then decreased before increasing again.

Chart data: Year Stocks-to-use ratio Dec 31, 1989 0.321 Dec 31, 1994 0.467 Dec 31, 1999 0.538 Dec 31, 2004 0.53 Dec 31, 2005 0.509 Dec 31, 2006 0.507 Dec 31, 2007 0.567 Dec 31, 2008 0.399 Dec 31, 2009 0.445 Dec 31, 2010 0.715 Dec 31, 2011 0.825 Dec 31, 2012 0.909 Dec 31, 2013 0.952 Dec 31, 2014 0.797 Dec 31, 2015 0.692 Dec 31, 2016 0.66 Dec 31, 2017 0.623 Dec 31, 2018 0.601

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/6872.tsv"}, "mark": "line", "encoding": {"color": {"value": "#55b748"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Stocks-to-use ratio"}, "field": "Stocks-to-use ratio"}}, "title": ["Global cotton stocks-to-use ratio from 1990", "to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The net income of well fargo is increasing from 2010 to 2014, after that the income is stable throughout the years.

Chart data: Year Net income in billion U.S. dollars Dec 31, 2008 12.28 Dec 31, 2009 12.36 Dec 31, 2010 15.87 Dec 31, 2011 18.9 Dec 31, 2012 21.88 Dec 31, 2013 23.06 Dec 31, 2014 22.89 Dec 31, 2015 21.94 Dec 31, 2016 22.18 Dec 31, 2017 22.39 Dec 31, 2018 19.55

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/6875.tsv"}, "mark": "line", "encoding": {"color": {"value": "#829eb1"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Net income in billion U.S. dollars"}, "field": "Net income in billion U\\.S\\. dollars"}}, "title": ["Net income of Wells Fargo 2009 to 2019 (in", "billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Total Covid deaths for the period in Austria were around 6,200. Styria, Upper Austria and Vienna accounted for over half the deaths between them, with each of these states recording over 1000 deaths.  All other states had fewer than 1,000 deaths.  Burgenland and Vorarlberg had fewer than 250 deaths each.

Chart data: Number of deaths state of Austria 6357 Total 1329 Styria 1264 Upper Austria 1138 Vienna 879 Lower Austria 529 Carinthia 480 Tyrol 338 Salzburg 221 Vorarlberg 179 Burgenland

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/6879.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#cbd5e8"}, "x": {"type": "quantitative", "axis": {"title": "Number of deaths"}, "field": "Number of deaths"}, "y": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "state of Austria"}}, "title": ["Deaths due to the coronavirus (COVID-19)", "in Austria in 2021 , by federal state"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The toothbrush brands are listed in alphabetical order. Sonicare Essence is the highest selling toothbrush brand at nearly 40 million U.S dollars in 2014. The lowest selling brand is Private label at just over 10 million U.S dollars. There are 4 brands which sold above 20 million U.S dollars worth of sales.

Chart data: Sales in million U.S. dollars Brand 38.6 Sonicare Essence 33.7 Oral B Pulsar 25.1 Arm & Hammer Spinbrush Pro Clean 25 Sonicare Easy Clean 18.2 Oral B 3D White Action 12.9 Colgate 360 Optic White 12.5 Arm & Hammer Spinbrush Kids 12.4 Oral B CrossAction Power 12.4 Arm & Hammer Spinbrush Pro Whitening 11.2 Private label

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/6893.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#DCDCDC"}, "x": {"type": "quantitative", "axis": {"title": "Sales in million U.S. dollars"}, "field": "Sales in million U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Brand"}}, "title": ["Sales of the leading power toothbrush brands", "in the United States in 2014 (in million", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: According to this graph, the global production volume of vegetables has shown significant growth from 2000 to 2018. In the year 2000, approx. 700 million metric tons were produced. In 2018, more than 1000 million metric tons were produced.

Chart data: Year Production volume in million metric tons Dec 31, 1999 682.43 Dec 31, 2000 700.09 Dec 31, 2001 721.42 Dec 31, 2002 750.86 Dec 31, 2003 760.29 Dec 31, 2004 779.82 Dec 31, 2005 809.33 Dec 31, 2006 843.23 Dec 31, 2007 876.15 Dec 31, 2008 900.66 Dec 31, 2009 921.52 Dec 31, 2010 954.89 Dec 31, 2011 978.52 Dec 31, 2012 997.84 Dec 31, 2013 1030.32 Dec 31, 2014 1051.52 Dec 31, 2015 1075.2 Dec 31, 2016 1094.34 Dec 31, 2017 1088.9

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/6896.tsv"}, "mark": "area", "encoding": {"color": {"value": "#88d27a"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Production volume in million metric tons"}, "field": "Production volume in million metric tons"}}, "title": ["Global production volume of vegetables from", "2000 to 2018 (in million metric tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph shows a linear increase in the number of households.  There were between 50 and 60 million in 1960.  This had risen to over 120 million in 2020.  That is, the number of households more than doubled over the sixty years.

Chart data: Year Number of households in millions Dec 31, 1959 52.8 Dec 31, 1969 63.4 Dec 31, 1970 64.78 Dec 31, 1971 66.68 Dec 31, 1972 68.25 Dec 31, 1973 69.86 Dec 31, 1974 71.12 Dec 31, 1975 72.87 Dec 31, 1976 74.14 Dec 31, 1977 76.03 Dec 31, 1978 77.33 Dec 31, 1979 80.78 Dec 31, 1980 82.37 Dec 31, 1981 83.53 Dec 31, 1982 83.92 Dec 31, 1983 85.41 Dec 31, 1984 86.79 Dec 31, 1985 88.46 Dec 31, 1986 89.48 Dec 31, 1987 91.07 Dec 31, 1988 92.83 Dec 31, 1989 93.35 Dec 31, 1990 94.31 Dec 31, 1991 95.67 Dec 31, 1992 96.39 Dec 31, 1993 97.11 Dec 31, 1994 98.99 Dec 31, 1995 99.63 Dec 31, 1996 101.02 Dec 31, 1997 102.53 Dec 31, 1998 103.87 Dec 31, 1999 104.71 Dec 31, 2000 108.21 Dec 31, 2001 109.3 Dec 31, 2002 111.28 Dec 31, 2003 112 Dec 31, 2004 113.34 Dec 31, 2005 114.38 Dec 31, 2006 116.01 Dec 31, 2007 116.78 Dec 31, 2008 117.18 Dec 31, 2009 117.54 Dec 31, 2010 118.68 Dec 31, 2011 121.08 Dec 31, 2012 122.46 Dec 31, 2013 123.23 Dec 31, 2014 124.59 Dec 31, 2015 125.82 Dec 31, 2016 126.22 Dec 31, 2017 127.59 Dec 31, 2018 128.58 Dec 31, 2019 128.45

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/68.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ab7fb4"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Number of households in millions"}, "field": "Number of households in millions"}}, "title": ["Number of households in the U.S. from 1960", "to 2020 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Over time the cost of a ticket has risen steadily, from just under $40 to just under $80.

Chart data: Average ticket price in U.S. dollars Year 73.59 14(15 70.52 13/14 67.52 12/13 63.06 11/12 60.04 10/11 60.04 09/10 55.55 08/09 51.45 07/08 46.81 06/07 36.61 05/06

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/6902.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#393b79"}, "x": {"type": "quantitative", "axis": {"title": "Average ticket price in U.S. dollars"}, "field": "Average ticket price in U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}}, "title": ["Average ticket price Pittsburgh Penguins", "games (NHL) from 2005/06 to 2014/15 (in U.S.", "dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: From 05/06 season to 14/15 season the price for a ticket has doubled and is now over 70usd.

Chart data: Average ticket price in U.S. dollars Year 73.59 14(15 70.52 13/14 67.52 12/13 63.06 11/12 60.04 10/11 60.04 09/10 55.55 08/09 51.45 07/08 46.81 06/07 36.61 05/06

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/6902.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#393b79"}, "x": {"type": "quantitative", "axis": {"title": "Average ticket price in U.S. dollars"}, "field": "Average ticket price in U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}}, "title": ["Average ticket price Pittsburgh Penguins", "games (NHL) from 2005/06 to 2014/15 (in U.S.", "dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is a rough average of around 40 touchdowns. Rob Gronkowski is well above the average with 80 touch downs as well as Stanley Morgan with approximately 70 touchdowns.

Chart data: player name Touchdowns scored Rob Gronkowski 80 Stanley Morgan 68 Ben Coates 50 Randy Moss 50 Sam Cunningham 49 Jim Nance 46 Tony Collins 44 Gino Cappelletti 42 Irving Fryar 42 Larry Garron 42 Julian Edelman 41 Jim Colclough 39 Corey Dillon 39 Curtis Martin 37 Wes Welker 37 Steve Grogan 36 Troy Brown 35 LeGarrette Blount 35 Kevin Faulk 33 James White 32

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/6908.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#3690c0"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "player name"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Touchdowns scored"}, "field": "Touchdowns scored"}}, "title": ["New England Patriots all-time leaders number", "of touchdowns scored from 1960 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The most centuries scored in One Day Cricket up to 2020 was achieved by an Indian player. The player's name is SR Tendulkar. Tendulkar scored almost 50 centuries up to 2020. India has the most number of players in the list. The player who scored the second most centuries up to 2020 is also an Indian player. The player's name is V Kohli. Kohli scored around 42 centuries up to 2020.

Chart data: player name Number of centuries scored SR Tendulkar (INDIA) 49 V Kohli (INDIA) 43 RT Ponting (AUS/ICC) 30 RG Sharma (INDIA) 29 ST Jayasuriya (Asia/SL) 28 HM Amla (SA) 27 AB de Villiers (Afr/SA) 25 CH Gayle (ICC/WI) 25 KC Sangakkara (Asia/ICC/SL) 25 SC Ganguly (Asia/INDIA) 22 TM Dilshan (SL) 22

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/6910.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#1696d2"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "player name"}, "y": {"type": "quantitative", "axis": {"title": "Number of centuries scored"}, "field": "Number of centuries scored"}}, "title": ["Most centuries scored in One Day International", "cricket as of September 2020 , by player"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The year 2010 had the lowest amount of inhabitants in Norway. This increased year on year meaning that 2020 had the highest amount of inhabitants in Norway.

Chart data: Year Inhabitants in millions Dec 31, 2009 4.86 Dec 31, 2010 4.92 Dec 31, 2011 4.99 Dec 31, 2012 5.05 Dec 31, 2013 5.12 Dec 31, 2014 5.17 Dec 31, 2015 5.21 Dec 31, 2016 5.26 Dec 31, 2017 5.3 Dec 31, 2018 5.33 Dec 31, 2019 5.37

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/6912.tsv"}, "mark": "line", "encoding": {"color": {"value": "#3580b1"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Inhabitants in millions"}, "field": "Inhabitants in millions"}}, "title": ["Population in Norway from 2010 to 2020 (in", "millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: THE GROSS CONSOLIDATED DEBT INCREASED AS THE YEARS WENT FROM 2001 TO 2019. THE LARGEST PERCENTAGE WAS IN 2019 WHICH WAS OVER 0.8 PERCENT.

Chart data: Percentage of GDP Response 0.852 2018/19 0.853 2017/18 0.865 2016/17 0.864 2015/16 0.865 2014/15 0.855 2013/14 0.833 2012/13 0.818 2011/12 0.756 2010/11 0.696 2009/10 0.526 2008/09 0.409 2007/08 0.4 2006/07 0.392 2005/06 0.38 2004/05 0.355 2003/04 0.338 2002/03 0.337 2001/02 0.352 2001/01

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/6914.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#79706e"}, "x": {"type": "quantitative", "axis": {"title": "Percentage of GDP"}, "field": "Percentage of GDP"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Response"}}, "title": ["General government gross consolidated debt", "as a percentage of gross domestic product", "(GDP) in the United Kingdom (UK) from 2000/01", "to 2018/19"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of employees plummeted between 2009 and 2012 at approx -600k, however it increased sharply between 2014-2015 by approx 400k. There is not a consistent level of employee growth over the period 2007-2019 with several peaks and troughs.

Chart data: Year Number of employees Dec 31, 2006 309050 Dec 31, 2007 302660 Dec 31, 2008 282720 Dec 31, 2009 266590 Dec 31, 2011 241810 Dec 31, 2012 243360 Dec 31, 2013 243620 Dec 31, 2014 281450 Dec 31, 2015 268540 Dec 31, 2016 254000 Dec 31, 2017 268220 Dec 31, 2018 247800

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/691.tsv"}, "mark": "line", "encoding": {"color": {"value": "#12239E"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of employees"}, "field": "Number of employees"}}, "title": ["Number of employees of AT & T from 2007", "to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The value of pulses imported into India began increasing in 2015, reaching a peak in 2017 before declining to the lowest level in 2019 since 2012. This could have been caused by an increase in quantity of pulse imports or the increased price of pulses.

Chart data: Import value in billion Indian rupees financial year 102.21 FY 2020 80.35 FY 2019 187.5 FY 2018 285.2 FY 2017 256.2 FY 2016 170.63 FY 2015 110.37 FY 2014 133.45 FY 2013 94.48 FY 2012 75.12 FY 2011

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/6920.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#666666"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Import value in billion Indian rupees"}, "field": "Import value in billion Indian rupees"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "financial year"}}, "title": ["Value of pulses imported into India from", "financial year 2011 to 2020 (in billion Indian", "rupees)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: I can see a very big decline in poverty since 2013 to current day.

Chart data: Response Percentage of population Dec 31, 1999 0.079 Dec 31, 2000 0.079 Dec 31, 2001 0.075 Dec 31, 2002 0.084 Dec 31, 2003 0.085 Dec 31, 2004 0.087 Dec 31, 2005 0.087 Dec 31, 2006 0.086 Dec 31, 2007 0.087 Dec 31, 2008 0.094 Dec 31, 2009 0.103 Dec 31, 2010 0.104 Dec 31, 2011 0.108 Dec 31, 2012 0.114 Dec 31, 2013 0.111 Dec 31, 2014 0.108 Dec 31, 2015 0.104 Dec 31, 2016 0.1 Dec 31, 2017 0.095 Dec 31, 2018 0.092

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/6931.tsv"}, "mark": "line", "encoding": {"color": {"value": "#c89d29"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Percentage of population"}, "field": "Percentage of population"}}, "title": ["Poverty rate in New Jersey from 2000 to", "2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The average infant mortality rate has dropped in Japan over the years since 2009 (until 2019).

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 2.4 Dec 31, 2009 2.3 Dec 31, 2010 2.3 Dec 31, 2011 2.2 Dec 31, 2012 2.1 Dec 31, 2013 2.1 Dec 31, 2014 2 Dec 31, 2015 2 Dec 31, 2016 1.9 Dec 31, 2017 1.8 Dec 31, 2018 1.8

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/6937.tsv"}, "mark": "area", "encoding": {"color": {"value": "#3580b1"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Deaths per 1,000 live births"}, "field": "Deaths per 1,000 live births"}}, "title": ["Japan : Infant mortality from 2009 to 2019", "(in deaths per 1,000 live births)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}