delen/vistext huggingface dataset:
Chart description: The unemployment rate was at similar levels in years 1999 and 2000.  The lowest employment rate was around 2001and from then on it gradually increased to its highest at around 2012. After reaching the highest rate, it started to decline to similar level as the start of 1999.

Chart data: Year Youth unemployment rate Dec 31, 1998 0.1234 Dec 31, 1999 0.1194 Dec 31, 2000 0.1025 Dec 31, 2001 0.1083 Dec 31, 2002 0.1126 Dec 31, 2003 0.1062 Dec 31, 2004 0.1259 Dec 31, 2005 0.1376 Dec 31, 2006 0.1409 Dec 31, 2007 0.1482 Dec 31, 2008 0.1889 Dec 31, 2009 0.1966 Dec 31, 2010 0.2111 Dec 31, 2011 0.2107 Dec 31, 2012 0.2056 Dec 31, 2013 0.1688 Dec 31, 2014 0.1457 Dec 31, 2015 0.1293 Dec 31, 2016 0.1201 Dec 31, 2017 0.1122 Dec 31, 2018 0.1131 Dec 31, 2019 0.1164

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/15656.tsv"}, "mark": "line", "encoding": {"color": {"value": "#bf5b17"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Youth unemployment rate"}, "field": "Youth unemployment rate"}}, "title": ["United Kingdom : Youth unemployment rate", "from 1999 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: I can see that there is a significant amount of passengers that has rose year on year.

Chart data: Year Number of passengers in millions Dec 31, 2002 4.11 Dec 31, 2003 4.59 Dec 31, 2004 4.51 Dec 31, 2005 4.53 Dec 31, 2006 6.9 Dec 31, 2007 6.82 Dec 31, 2008 6.09 Dec 31, 2009 6.75 Dec 31, 2010 8.3 Dec 31, 2011 10.18 Dec 31, 2012 12.1 Dec 31, 2013 13.98 Dec 31, 2014 17.63 Dec 31, 2015 21 Dec 31, 2016 23.81 Dec 31, 2017 28.68 Dec 31, 2018 33.87

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/15666.tsv"}, "mark": "line", "encoding": {"color": {"value": "#9E9D24"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Number of passengers in millions"}, "field": "Number of passengers in millions"}}, "title": ["Total number of passengers carried by Spirit", "Airlines from 2003 to 2019 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The revenue has always stayed above 50 billion every year. It is mainly consistent across the years.

Chart data: Fiscal year Revenue in billion U.S. dollars Dec 31, 2004 52.62 Dec 31, 2005 59.49 Dec 31, 2006 63.37 Dec 31, 2007 64.95 Dec 31, 2008 65.36 Dec 31, 2009 67.39 Dec 31, 2010 69.87 Dec 31, 2011 73.3 Dec 31, 2012 71.28 Dec 31, 2013 72.62 Dec 31, 2014 74.5 Dec 31, 2015 70.27 Dec 31, 2016 72.71 Dec 31, 2017 75.36 Dec 31, 2018 78.11

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/1566.tsv"}, "mark": "line", "encoding": {"color": {"value": "#a99cbc"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Fiscal year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Revenue in billion U.S. dollars"}, "field": "Revenue in billion U\\.S\\. dollars"}}, "title": ["Revenue of Target in North America from", "2005 to 2019 (in billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Revenue of target in North America has overall increased between 2005 and 2019. Revenue was between 50 and 60 billion US dollars in 2005. It was just under 80 billion dollars in 2019. It dropped in 2016 to around 70 billion.

Chart data: Fiscal year Revenue in billion U.S. dollars Dec 31, 2004 52.62 Dec 31, 2005 59.49 Dec 31, 2006 63.37 Dec 31, 2007 64.95 Dec 31, 2008 65.36 Dec 31, 2009 67.39 Dec 31, 2010 69.87 Dec 31, 2011 73.3 Dec 31, 2012 71.28 Dec 31, 2013 72.62 Dec 31, 2014 74.5 Dec 31, 2015 70.27 Dec 31, 2016 72.71 Dec 31, 2017 75.36 Dec 31, 2018 78.11

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/1566.tsv"}, "mark": "line", "encoding": {"color": {"value": "#a99cbc"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Fiscal year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Revenue in billion U.S. dollars"}, "field": "Revenue in billion U\\.S\\. dollars"}}, "title": ["Revenue of Target in North America from", "2005 to 2019 (in billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Quantity of tulips sold has increased since 2002 from less than 100'000 to over 150'000.

Chart data: Quantity in thousand stems Year 90625 2002 92551 2003 105138 2004 128978 2005 141893 2006* 157992 2007 170854 2008 150228 2009 155667 2010 169219 2011 161802 2012 161926 2013 160990 2014 167378 2015 173247 2018

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/15678.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#E044A7"}, "x": {"type": "quantitative", "axis": {"title": "Quantity in thousand stems"}, "field": "Quantity in thousand stems"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}}, "title": ["Quantity of tulips sold in the U.S. from", "2002 to 2018 (in 1,000 stems)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: From 2002 and 2007 the quantity of tulips sold in the U.S. increased by roughly 50,000 stems. From 2010 to 2018 the quantity of tulips sold in the U.S. per years was above 150,000. The year in which tulips were sold the most was 2018.

Chart data: Quantity in thousand stems Year 90625 2002 92551 2003 105138 2004 128978 2005 141893 2006* 157992 2007 170854 2008 150228 2009 155667 2010 169219 2011 161802 2012 161926 2013 160990 2014 167378 2015 173247 2018

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/15678.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#E044A7"}, "x": {"type": "quantitative", "axis": {"title": "Quantity in thousand stems"}, "field": "Quantity in thousand stems"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}}, "title": ["Quantity of tulips sold in the U.S. from", "2002 to 2018 (in 1,000 stems)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The top two accounts belonging to Jamie Oliver and Gordon Ramsey have the dominant shares of followers in the space, put together they have roughly the same number as the sum of the other 8 influencers. The mean follower count for the male influencers (first 5) appears to be greater than the female influencers  (last 5). However if these specified top two accounts were to be removed then the mean male follower count seems lower or similar than the female.

Chart data: Number of followers in millions Food influencer 9.2 Gordon Ramsay 8.2 Jamie Oliver 3.4 Ree Drummond - Pioneer Woman 3.1 Martha Stewart 2.8 Yolanda Gampp 2.7 Antonino Cannavacciuolo 2.3 MARIAM | Cookin' with Mima 2.2 CESAR GONZALEZ Cocinero 2.1 Nigella 1.6 J o s e

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/1567.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ffff99"}, "x": {"type": "quantitative", "axis": {"title": "Number of followers in millions"}, "field": "Number of followers in millions"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Food influencer"}}, "title": ["Most-followed food influencers on Instagram", "worldwide as of June 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Gordon Ramsey and Jamie Oliver have by far the highest followers but are the most famous.

Chart data: Number of followers in millions Food influencer 9.2 Gordon Ramsay 8.2 Jamie Oliver 3.4 Ree Drummond - Pioneer Woman 3.1 Martha Stewart 2.8 Yolanda Gampp 2.7 Antonino Cannavacciuolo 2.3 MARIAM | Cookin' with Mima 2.2 CESAR GONZALEZ Cocinero 2.1 Nigella 1.6 J o s e

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/1567.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ffff99"}, "x": {"type": "quantitative", "axis": {"title": "Number of followers in millions"}, "field": "Number of followers in millions"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Food influencer"}}, "title": ["Most-followed food influencers on Instagram", "worldwide as of June 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: 2012 was the year with the least spend growth on mental health, 2020 had the highest increase in spend. There was no spend increase in 2017 / 2018.

Chart data: Annual spending growth Year 0.059 2020 0.055 2019 0.047 2018 0.047 2017 0.043 2016 0.039 2015 0.033 2014 0.035 2013 0.028 2012 0.052 2011 0.052 2010 0.057 2009*

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/15686.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#3e5c69"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Annual spending growth"}, "field": "Annual spending growth"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Annual growth in mental health treatment", "spending in the United States from 2009 to", "2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Harvard university produces the greatest amount of Fortune 500 CEO alumni indicating that this institution produces the most amount of successful business people compared to the other institutions. Princeton and Texas produces the least amount.

Chart data: University Number of Fortune 500 CEO alumni Harvard University 25 Stanford University 11 University of Pennsylvania 8 Massachusetts Institute of Technology 7 Yale University 6 University of Chicago 6 Columbia University 6 Northwestern University 6 Cornell University 6 University of Southern California 4 New York University 4 Southern Methodist University 4 Princeton University 3 Texas A&M University 3 University of Notre Dame 3

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/15688.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#843c39"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "University"}, "y": {"type": "quantitative", "axis": {"title": "Number of Fortune 500 CEO alumni"}, "field": "Number of Fortune 500 CEO alumni"}}, "title": ["Universities in the United States ranked", "by number of Fortune 500 CEO alumni in 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Harvard University had by far the highest number of Fortune 500 CEO alumni in 2020 - a number of 25. The university with the second highest number of Fortune 500 CEO alumni in 2020 was Stanford University at approximately 11. All other universities listed had below 10 each.

Chart data: University Number of Fortune 500 CEO alumni Harvard University 25 Stanford University 11 University of Pennsylvania 8 Massachusetts Institute of Technology 7 Yale University 6 University of Chicago 6 Columbia University 6 Northwestern University 6 Cornell University 6 University of Southern California 4 New York University 4 Southern Methodist University 4 Princeton University 3 Texas A&M University 3 University of Notre Dame 3

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/15688.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#843c39"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "University"}, "y": {"type": "quantitative", "axis": {"title": "Number of Fortune 500 CEO alumni"}, "field": "Number of Fortune 500 CEO alumni"}}, "title": ["Universities in the United States ranked", "by number of Fortune 500 CEO alumni in 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Prince has the lowest number of fortune 500 CEO alumni, at around 2.4Harvard has the highest number of fortune 500 CEO alumni by an exceptional margin, at 25 alumni. The majority of universities have around 6 alumni.

Chart data: University Number of Fortune 500 CEO alumni Harvard University 25 Stanford University 11 University of Pennsylvania 8 Massachusetts Institute of Technology 7 Yale University 6 University of Chicago 6 Columbia University 6 Northwestern University 6 Cornell University 6 University of Southern California 4 New York University 4 Southern Methodist University 4 Princeton University 3 Texas A&M University 3 University of Notre Dame 3

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/15688.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#843c39"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "University"}, "y": {"type": "quantitative", "axis": {"title": "Number of Fortune 500 CEO alumni"}, "field": "Number of Fortune 500 CEO alumni"}}, "title": ["Universities in the United States ranked", "by number of Fortune 500 CEO alumni in 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: 1. over a period from 2005 to 2016 the ratio of females to males in tertiary eduction has increased from 0.7 to 1.2, an increase of approximatly 70%. 2. more females are now undertaking education in this subject. 3. a larger increase has been seen in recent years.

Chart data: Year Ratio in females per one male Dec 31, 2004 0.71 Dec 31, 2005 0.96 Dec 31, 2006 1 Dec 31, 2007 0.98 Dec 31, 2008 0.99 Dec 31, 2009 1 Dec 31, 2010 1.01 Dec 31, 2012 0.9 Dec 31, 2013 1.05 Dec 31, 2014 1 Dec 31, 2015 1.24

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/15689.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Ratio in females per one male"}, "field": "Ratio in females per one male"}}, "title": ["Female to male ratio in tertiary education", "in Vietnam from 2005 to 2016"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: July 17 to June 18 had the most sold trucks in Pakistan 2008/2010 the same amount of trucks were sold. There hasn’t been less than 2000 trucks sold in one year.

Chart data: Number of trucks Month 5828 Jul 2018- Jun 2019 9331 Jul 2017- Jun 2018 5550 Jul 2016- Jun 2017 4111 Jul 2015- Jun 2016 2663 Jul 2014- Jun 2015 1948 Jul 2013- Jun 2014 2394 Jul 2012- Jun 2013 2942 Jul 2011- Jun 2012 3620 Jul 2010- Jun 2011 3136 Jul 2009- Jun 2010 3136 Jul 2008- Jun 2009

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/15692.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#a6bddb"}, "x": {"type": "quantitative", "axis": {"labelAngle": -90, "title": "Number of trucks"}, "field": "Number of trucks"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Month"}}, "title": ["Number of trucks sold in Pakistan from July", "2008 to June 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The Cumulative installed capacity of wind power from 2000 and 2018 was at its highest in 2016.

Chart data: Year Cumulative installed capacity in megawatts Dec 31, 1999 2578 Dec 31, 2000 4275 Dec 31, 2001 4686 Dec 31, 2002 6353 Dec 31, 2003 6725 Dec 31, 2004 9121 Dec 31, 2005 11575 Dec 31, 2006 16812 Dec 31, 2007 25237 Dec 31, 2008 35155 Dec 31, 2009 40271 Dec 31, 2010 46921 Dec 31, 2011 60010 Dec 31, 2012 61115 Dec 31, 2013 65885 Dec 31, 2014 74000 Dec 31, 2015 82151 Dec 31, 2016 88981 Dec 31, 2017 96442

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/15697.tsv"}, "mark": "line", "encoding": {"color": {"value": "#8b8b8b"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Cumulative installed capacity in megawatts"}, "field": "Cumulative installed capacity in megawatts"}}, "title": ["U.S. cumulative installed wind power capacity", "from 2000 to 2018 (in megawatts)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: 8 drugs were below £50 pounds and 9 drugs were £60 or above. The most expensive being Insulin Degludec/Liraglutide.

Chart data: Cost in GBP Item 131.5 Insulin Degludec/ Liraglutide 107.88 Liraglutide 89.09 Exenatide 80.1 Dulaglutide 73.25 Semaglutide 71 Albiglutide 66.66 Lixisenatide 66.04 Chlorpropamide 61.49 Saxagliptin/ Dapagliflozin 43.59 Canagliflozin 42.5 Dapagliflozin/ Metformin 42.48 Dapagliflozin 42.45 Empagliflozin/ Metformin 41.77 Metformin Hydrochloride/ Pioglitazone 41.3 Empagliflozin 40.14 Canagliflozin/ Metformin 40 Rosiglitazone

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/15704.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#666666"}, "x": {"type": "quantitative", "axis": {"labelAngle": -90, "title": "Cost in GBP"}, "field": "Cost in GBP"}, "y": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Item"}}, "title": ["Cost per item of antidiabetic drugs (other", "than biguanides and sulfonylureas) in England", "in 2018 (Cost in GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between 2000 and 2018 the number of international students enrolled in postsecondary insitutions in Canada increased from around 50 thousand to 300 thousand. The rate of increase seems to be higher in the later part of this period shown by the increasing graph gradient.

Chart data: Year Number of international students Dec 31, 1999 43263 Dec 31, 2000 62223 Dec 31, 2001 69531 Dec 31, 2002 79089 Dec 31, 2003 92592 Dec 31, 2004 97947 Dec 31, 2005 106485 Dec 31, 2006 108387 Dec 31, 2007 114078 Dec 31, 2008 123306 Dec 31, 2009 135567 Dec 31, 2010 142170 Dec 31, 2011 158106 Dec 31, 2012 174249 Dec 31, 2013 199077 Dec 31, 2014 217494 Dec 31, 2015 228876 Dec 31, 2016 256455 Dec 31, 2017 296469

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/15707.tsv"}, "mark": "area", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of international students"}, "field": "Number of international students"}}, "title": ["Number of international students enrolled", "in postsecondary institutions in Canada from", "2000 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is a gradual increase of international students up to 2010 then a steep increase after.

Chart data: Year Number of international students Dec 31, 1999 43263 Dec 31, 2000 62223 Dec 31, 2001 69531 Dec 31, 2002 79089 Dec 31, 2003 92592 Dec 31, 2004 97947 Dec 31, 2005 106485 Dec 31, 2006 108387 Dec 31, 2007 114078 Dec 31, 2008 123306 Dec 31, 2009 135567 Dec 31, 2010 142170 Dec 31, 2011 158106 Dec 31, 2012 174249 Dec 31, 2013 199077 Dec 31, 2014 217494 Dec 31, 2015 228876 Dec 31, 2016 256455 Dec 31, 2017 296469

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/15707.tsv"}, "mark": "area", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of international students"}, "field": "Number of international students"}}, "title": ["Number of international students enrolled", "in postsecondary institutions in Canada from", "2000 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of international students enrolled in post-secondary institutions in Canada steadily increased from 2000 to 2012.  The number of international students enrolled in post-secondary institutions in Canada rapidly increased from 2012 to 2018.

Chart data: Year Number of international students Dec 31, 1999 43263 Dec 31, 2000 62223 Dec 31, 2001 69531 Dec 31, 2002 79089 Dec 31, 2003 92592 Dec 31, 2004 97947 Dec 31, 2005 106485 Dec 31, 2006 108387 Dec 31, 2007 114078 Dec 31, 2008 123306 Dec 31, 2009 135567 Dec 31, 2010 142170 Dec 31, 2011 158106 Dec 31, 2012 174249 Dec 31, 2013 199077 Dec 31, 2014 217494 Dec 31, 2015 228876 Dec 31, 2016 256455 Dec 31, 2017 296469

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/15707.tsv"}, "mark": "area", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of international students"}, "field": "Number of international students"}}, "title": ["Number of international students enrolled", "in postsecondary institutions in Canada from", "2000 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The United States has the highest share of pharmaceutical revenue at 33% followed by Western Europe with 22%. Combined, these two have over half the share. All other countries have less than 10% - in order China, Japan, Latin America, Rest of World, Russia, South Korea, Canada, Australia, Indonesia, India, Saudi Arabia.

Chart data: Response Percentage of global revenue United States 0.33 Western Europe-15 0.22 China 0.1 Japan 0.09 Latin America-5 0.07 Russia 0.04 Canada 0.02 South Korea 0.02 India 0.01 Indonesia 0.01 Australia 0.01 Saudi Arabia 0.01 Rest of world 0.06

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/1570.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#C2185B"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Percentage of global revenue"}, "field": "Percentage of global revenue"}}, "title": ["Share of pharmaceutical revenue worldwide", "in 2017 , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The United States has the greatest percentage of global revenue at 0.35%. Western Europe has just over 0.2% of global pharmaceutical revenue. Countries with less than 0.05% of global pharmaceutical revenue are Australia, Canada, India, Indonesia, Russia, Saudi Arabia, and South Korea. All other countries percentage of global revenue is between 0.05% and 0.1%.

Chart data: Response Percentage of global revenue United States 0.33 Western Europe-15 0.22 China 0.1 Japan 0.09 Latin America-5 0.07 Russia 0.04 Canada 0.02 South Korea 0.02 India 0.01 Indonesia 0.01 Australia 0.01 Saudi Arabia 0.01 Rest of world 0.06

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/1570.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#C2185B"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Percentage of global revenue"}, "field": "Percentage of global revenue"}}, "title": ["Share of pharmaceutical revenue worldwide", "in 2017 , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Fertility rate is steadily declining over the period.

Chart data: Year Number of children born per woman Dec 31, 2007 5.55 Dec 31, 2008 5.47 Dec 31, 2009 5.38 Dec 31, 2010 5.29 Dec 31, 2011 5.2 Dec 31, 2012 5.11 Dec 31, 2013 5.02 Dec 31, 2014 4.94 Dec 31, 2015 4.86 Dec 31, 2016 4.78 Dec 31, 2017 4.7

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/15716.tsv"}, "mark": "line", "encoding": {"color": {"value": "#66a61e"}, "x": {"type": "temporal", "axis": {"labelAngle": 90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Number of children born per woman"}, "field": "Number of children born per woman"}}, "title": ["South Sudan : Fertility rate from 2008 to", "2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Eden Dzeko and Javier Pastore standout in terms of followers compared to their peers.

Chart data: Number of followers in thousands players 1450 Edin Dzeko 989 Javier Pastore 936.7 Cengiz Ünder 680.8 Nicolò Zaniolo 507.7 Leonardo Spinazzola 489 Davide Zappacosta 441.8 Juan Jesus 434.3 Diego Perotti 351.2 Federico Fazio 346.1 Lorenzo Pellegrini

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/15721.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#9E9D24"}, "x": {"type": "quantitative", "axis": {"title": "Number of followers in thousands"}, "field": "Number of followers in thousands"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "players"}}, "title": ["Ten most popular A.S. Roma players on Instagram", "as of May 29 , 2020 (in 1,000 followers)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The lowest share of respondants reported to have heard about the summer X games via the chamber of commerce, whilst the highest proportion heard via ESPN. A fairly high number of participants report to have gained their knowledge from the Internet generally, whilst others were more specific in their Internet sources including social media, Xgames and ESPN websites showing that Internet advertising was effective.

Chart data: Share of respondents Response 0.55 ESPN 0.4 Internet 0.39 Word of mouth 0.33 Local media (TV, radio or print) 0.3 Xgames.com or ESPN.com/action 0.28 ESPN 2 0.21 Social media (Facebook, Twitter, YouTube) 0.1 Other national TV 0.09 National radio 0.09 National print ads 0.07 Sponsor promotions 0.01 Chamber of commerce 0.06 Can't recall

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/15727.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#000000"}, "x": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Share of respondents"}, "field": "Share of respondents"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Response"}}, "title": ["How did you hear about the Summer X Games", "?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In Sweden, diseases of the circulatory system are the single greatest cause of death.

Chart data: Number of deaths Cause of death 28195 Diseases of the circulatory system 23453 Neoplasms 6154 Diseases of the respiratory system 6510 Mental and behavioural disorders 5685 Diseases of the nervous system 4884 External causes of morbidity and mortality (injuries and poisonings) 2931 Diseases of the digestive system 3445 Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified 2737 Endocrine, nutritional and metabolic diseases 2110 Certain infectious and parasitic diseases 1362 Diseases of the genitourinary system 949 Poisoning with medicine and narcotics 456 Diseases of the musculoskeletal system and connective tissue 261 Congenital malformations, deformations and chromosomal abnormalities 302 Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism 201 Diseases of the skin and subcutaneous tissue 124 Certain conditions originating in the perinatal period 4 Pregnancy, childbirth and the puerperium 6 Diseases of the ear and mastoid process 2 Diseases of the eye and adnexa

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/1572.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#5254a3"}, "x": {"type": "quantitative", "axis": {"title": "Number of deaths"}, "field": "Number of deaths"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Cause of death"}}, "title": ["Number of deaths in Sweden in 2019 , by", "cause of death"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Professional Services has the greatest share of revenue by far with just under 0.4. Hadoop and NoSQL have the least share of revenue with just over 0.0.

Chart data: Share of revenue Response 0.3823 Professional Services 0.1873 Compute 0.1626 Storage 0.0758 Apps and Analytics 0.0713 SQL 0.0484 Cloud Services 0.0341 Data Management 0.0232 Networking 0.0082 NoSQL 0.0068 Hadoop

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/15731.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ab7fb4"}, "x": {"type": "quantitative", "axis": {"title": "Share of revenue"}, "field": "Share of revenue"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Response"}}, "title": ["Share of total global big data revenue by", "segment in 2014"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: the years are to spread out making it difficult to make sense of the data.

Chart data: Year Divorces Dec 31, 1999 2350 Dec 31, 2000 2365 Dec 31, 2001 2165 Dec 31, 2002 2319 Dec 31, 2003 2512 Dec 31, 2004 2362 Dec 31, 2005 2565 Dec 31, 2006 2913 Dec 31, 2007 2773 Dec 31, 2008 2176 Dec 31, 2009 2600 Dec 31, 2010 2343 Dec 31, 2011 2444 Dec 31, 2012 2403 Dec 31, 2013 2455 Dec 31, 2014 2360 Dec 31, 2015 2572 Dec 31, 2016 2089 Dec 31, 2017 2073

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/15736.tsv"}, "mark": "area", "encoding": {"color": {"value": "#0570b0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Divorces"}, "field": "Divorces"}}, "title": ["Number of divorces granted in Northern Ireland", "from 2000 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}