delen/vistext huggingface dataset:
Chart description: The plaza hotel and casino has the highest wifi speed of the hotels mentioned in the graph in 2017.

Chart data: hotel Expected Wi-Fi speed in Mbps* Plaza Hotel & Casino 38.7 The LINQ Hotel & Casino 29.3 SLS Las Vegas Hotel & Casino 24.7 Grandview at Las Vegas 24.3 Tahiti Village 23.8 Four Seasons Hotel Las Vegas 22.1 Golden Nugget Hotel 16.1 Treasure Island - TI Hotel & Casino 15.6 Wynn Las Vegas 11.5 Luxor Las Vegas 11.2 Trump International Hotel Las Vegas 9.6 The Carriage House 9.3 Encore At Wynn Las Vegas 8 ARIA Resort & Casino 8 Hilton Grand Vacations Suites on the Las Vegas Strip 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/18945.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#adc839"}, "x": {"type": "nominal", "axis": {"labelAngle": -45}, "bin": false, "field": "hotel"}, "y": {"type": "quantitative", "axis": {"title": "Expected Wi-Fi speed in Mbps*"}, "field": "Expected Wi-Fi speed in Mbps*"}}, "title": ["Wi-Fi speed in selected hotels in Las Vegas", "as of August 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of overnight stays in Denmark increased in between  2008 and 2016 onwards.

Chart data: Year Number of nights in millions Dec 31, 2006 28.07 Dec 31, 2007 28.03 Dec 31, 2008 26.49 Dec 31, 2009 27.15 Dec 31, 2010 28.21 Dec 31, 2011 28.04 Dec 31, 2012 28.5 Dec 31, 2013 29.65 Dec 31, 2014 30.81 Dec 31, 2015 31.9 Dec 31, 2016 32.16 Dec 31, 2017 33.28

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/18952.tsv"}, "mark": "area", "encoding": {"color": {"value": "#d95f02"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Number of nights in millions"}, "field": "Number of nights in millions"}}, "title": ["Number of overnight stays in travel accommodation", "in Denmark between 2007 and 2018 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Number of employees has gradually decreased until a small increase in 2017.

Chart data: Year Number of employees in thousands Dec 31, 2007 21.8 Dec 31, 2008 20.9 Dec 31, 2009 20.9 Dec 31, 2010 20 Dec 31, 2011 18.5 Dec 31, 2012 17.5 Dec 31, 2013 15.9 Dec 31, 2014 15.8 Dec 31, 2015 14.9 Dec 31, 2016 17.2 Dec 31, 2017 16.4 Dec 31, 2018 16.9

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/18955.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ec8431"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of employees in thousands"}, "field": "Number of employees in thousands"}}, "title": ["Number of employees of the fishing , hunting", "and trapping industry in Canada from 2008", "to 2019 (in 1,000s)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Life expectancy in Madagascar has increased consistently from around 60 years in 2008 to around 65 in 2016.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 62.51 Dec 31, 2008 62.94 Dec 31, 2009 63.39 Dec 31, 2010 63.84 Dec 31, 2011 64.28 Dec 31, 2012 64.71 Dec 31, 2013 65.13 Dec 31, 2014 65.54 Dec 31, 2015 65.93 Dec 31, 2016 66.31 Dec 31, 2017 66.68

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/18956.tsv"}, "mark": "area", "encoding": {"color": {"value": "#545454"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Life expectancy at birth in years"}, "field": "Life expectancy at birth in years"}}, "title": ["Madagascar : Life expectancy at birth from", "2008 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Dating has the least share of app users at just over 0.1 and Instant messaging the most at almost 1.0. Social networks are the next closely ranking in popularity share. Email, games, maps and music are all very close in terms of share of app users at just under 0.8. Travel is also rather unpopular alongside dating with only.

Chart data: Response Share of app users Instant Messaging 0.99 Social networks 0.924 Photos 0.79 Email 0.769 Games 0.768 Music 0.767 Maps 0.739 Weather 0.673 Videos/films 0.445 News 0.428 Sport 0.357 Reading 0.242 Travel 0.157 Dating 0.121

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/18957.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ff9d98"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Share of app users"}, "field": "Share of app users"}}, "title": ["Most popular apps used by smartphone owners", "in Spain in 2014 , by app type"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The chart shows that instant messaging is the most popular app used by smartphone owners in Spain in 2014, followed by social networks.Email, games, and music seem to have the same or very similar share of app users. Dating, followed by travel have the lowest share of app users.

Chart data: Response Share of app users Instant Messaging 0.99 Social networks 0.924 Photos 0.79 Email 0.769 Games 0.768 Music 0.767 Maps 0.739 Weather 0.673 Videos/films 0.445 News 0.428 Sport 0.357 Reading 0.242 Travel 0.157 Dating 0.121

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/18957.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ff9d98"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Share of app users"}, "field": "Share of app users"}}, "title": ["Most popular apps used by smartphone owners", "in Spain in 2014 , by app type"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is rising trend of drug-related deaths due to benzodiazepine use, with the highest figure of deaths, showing since 2015.  the lowest deaths were in 2006 or 2007, with under 200 deaths in the year. In contrast deaths since 2015 are an annual average of over 350, with 2 years having over 400 deaths p.a.  although there is an overall upward trend in drug-related deaths due to benzodiazepine use overall between 1993 and 2019, there was a significant fall in one year in the early 2000s (2006 or 2007).

Chart data: Year Number of deaths Dec 31, 1992 278 Dec 31, 1993 269 Dec 31, 1994 277 Dec 31, 1995 222 Dec 31, 1996 243 Dec 31, 1997 245 Dec 31, 1998 262 Dec 31, 1999 206 Dec 31, 2000 248 Dec 31, 2001 241 Dec 31, 2002 224 Dec 31, 2003 233 Dec 31, 2004 190 Dec 31, 2005 177 Dec 31, 2006 207 Dec 31, 2007 230 Dec 31, 2008 261 Dec 31, 2009 307 Dec 31, 2010 293 Dec 31, 2011 284 Dec 31, 2012 342 Dec 31, 2013 372 Dec 31, 2014 366 Dec 31, 2015 406 Dec 31, 2016 391 Dec 31, 2017 420 Dec 31, 2018 399

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/18958.tsv"}, "mark": "area", "encoding": {"color": {"value": "#AB47BC"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of deaths"}, "field": "Number of deaths"}}, "title": ["Number of drug-related deaths due to benzodiazepine", "use in England and Wales from 1993 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between 1995 and 2005 the number of drug-related deaths slowly and erraticallly fell until their lowest level in 2006. From 2006 to 2010 there was a sharp increase in the number of drug-related deaths, which continued to rise until 2015. There has been a slight fall in the number of drug related deaths since 2015.

Chart data: Year Number of deaths Dec 31, 1992 278 Dec 31, 1993 269 Dec 31, 1994 277 Dec 31, 1995 222 Dec 31, 1996 243 Dec 31, 1997 245 Dec 31, 1998 262 Dec 31, 1999 206 Dec 31, 2000 248 Dec 31, 2001 241 Dec 31, 2002 224 Dec 31, 2003 233 Dec 31, 2004 190 Dec 31, 2005 177 Dec 31, 2006 207 Dec 31, 2007 230 Dec 31, 2008 261 Dec 31, 2009 307 Dec 31, 2010 293 Dec 31, 2011 284 Dec 31, 2012 342 Dec 31, 2013 372 Dec 31, 2014 366 Dec 31, 2015 406 Dec 31, 2016 391 Dec 31, 2017 420 Dec 31, 2018 399

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/18958.tsv"}, "mark": "area", "encoding": {"color": {"value": "#AB47BC"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of deaths"}, "field": "Number of deaths"}}, "title": ["Number of drug-related deaths due to benzodiazepine", "use in England and Wales from 1993 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The median income across the 18 years monitored for this chart has steadily increased seeing a slight fall around 2007. Although not significant and did not seem to affect the growth across the following years.

Chart data: Year Income in Canadian dollars Dec 31, 1999 55700 Dec 31, 2000 58400 Dec 31, 2001 59600 Dec 31, 2002 60500 Dec 31, 2003 62500 Dec 31, 2004 64500 Dec 31, 2005 66600 Dec 31, 2006 69190 Dec 31, 2007 70910 Dec 31, 2008 69790 Dec 31, 2009 71540 Dec 31, 2010 73290 Dec 31, 2011 74890 Dec 31, 2012 76510 Dec 31, 2013 78790 Dec 31, 2014 81480 Dec 31, 2015 83160 Dec 31, 2016 85900 Dec 31, 2017 89270

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/18963.tsv"}, "mark": "area", "encoding": {"color": {"value": "#54a24b"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Income in Canadian dollars"}, "field": "Income in Canadian dollars"}}, "title": ["Median total family income in Ontario from", "2000 to 2018 (in Canadian dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The share rose steadily between 2011 and 2018. it peaked at 2018 and then began to dropped.

Chart data: Response Share of foreigners Dec 31, 2008 0.437 Dec 31, 2009 0.431 Dec 31, 2010 0.43 Dec 31, 2011 0.438 Dec 31, 2012 0.445 Dec 31, 2013 0.453 Dec 31, 2014 0.459 Dec 31, 2015 0.467 Dec 31, 2016 0.477 Dec 31, 2017 0.479 Dec 31, 2018 0.475 Dec 31, 2019 0.474

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/18964.tsv"}, "mark": "area", "encoding": {"color": {"value": "#c89d29"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Share of foreigners"}, "field": "Share of foreigners"}}, "title": ["Share of foreigners in Luxembourg from 2009", "to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The birth rate per thousand population has decreased from 2008 to 2016 in a steady linear manner, from 35 per thousand population in 2008 to 31 per thousand population in 2016.

Chart data: Year Birth rate per thousand population Dec 31, 2007 35.68 Dec 31, 2008 35.14 Dec 31, 2009 34.58 Dec 31, 2010 34.04 Dec 31, 2011 33.56 Dec 31, 2012 33.17 Dec 31, 2013 32.86 Dec 31, 2014 32.6 Dec 31, 2015 32.35 Dec 31, 2016 32.06 Dec 31, 2017 31.7

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/18976.tsv"}, "mark": "area", "encoding": {"color": {"value": "#a6bddb"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Birth rate per thousand population"}, "field": "Birth rate per thousand population"}}, "title": ["Rwanda : Birth rate from 2008 to 2018 (per", "1,000 inhabitants)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There are always more at least 6 million participants as the line never drops below 6. The most participants were in 2008 as the line indicates a big spike up above 8 million. From 2012 there is not much change and participants plateau until 2018.

Chart data: Year Number of participants in millions Dec 31, 2005 6.13 Dec 31, 2006 6.99 Dec 31, 2007 8.19 Dec 31, 2008 7.28 Dec 31, 2009 7.35 Dec 31, 2010 5.98 Dec 31, 2011 6.79 Dec 31, 2012 6.43 Dec 31, 2013 6.3 Dec 31, 2014 6.42 Dec 31, 2015 6.22 Dec 31, 2016 6.32 Dec 31, 2017 6.32

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/18982.tsv"}, "mark": "line", "encoding": {"color": {"value": "#d95f02"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of participants in millions"}, "field": "Number of participants in millions"}}, "title": ["Number of participants in court volleyball", "in the United States from 2006 to 2018 (in", "millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Roller skating became less popular year on year, dropping nearly 7 million in the space of 8 years.

Chart data: Year Number of participants in millions Dec 31, 2005 19.87 Dec 31, 2006 19.74 Dec 31, 2007 17.46 Dec 31, 2008 16.42 Dec 31, 2009 16.11 Dec 31, 2010 14.5 Dec 31, 2011 13.35 Dec 31, 2012 12.73 Dec 31, 2013 12.98 Dec 31, 2014 12.67 Dec 31, 2015 11.88 Dec 31, 2016 11.58

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/1898.tsv"}, "mark": "area", "encoding": {"color": {"value": "#E044A7"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of participants in millions"}, "field": "Number of participants in millions"}}, "title": ["Number of participants in roller skating", "in the United States from 2006 to 2017 (in", "millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There has been a decrease in response and share of global GDP since 2017.

Chart data: Share of global GDP Response 0.0023 2025* 0.0024 2024* 0.0024 2023* 0.0024 2022* 0.0024 2021* 0.0024 2020* 0.0025 2019 0.0025 2018 0.0026 2017 0.0026 2016 0.0026 2015

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/18997.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fff2ae"}, "x": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Share of global GDP"}, "field": "Share of global GDP"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}}, "title": ["Greece : Share of global gross domestic", "product (GDP) adjusted for Purchasing Power", "Parity (PPP) from 2015 to 2025"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: English was the most popular language, followed by Mandarin.

Chart data: Native speaker in millions language 1268 English 1120 Chinese (Mandarin) 637 Hindi 538 Spanish 277 French 274 Arabic (standard) 265 Bengali 258 Russian 252 Portuguese 199 Indonesian 171 Urdu 132 German (standard) 126 Japanese 99 Swahili 95 Marathi

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/189.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#c89d29"}, "x": {"type": "quantitative", "axis": {"title": "Native speaker in millions"}, "field": "Native speaker in millions"}, "y": {"type": "nominal", "axis": {"labelAngle": -45}, "bin": false, "field": "language"}}, "title": ["The most spoken languages worldwide in 2019", "(by speakers in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: It shows that the gate receipts have fluctuated then increased rapidly between 2016-18.

Chart data: Year Gate receipts in million U.S. dollars Dec 31, 2008 42 Dec 31, 2009 46 Dec 31, 2010 47 Dec 31, 2011 50 Dec 31, 2012 61 Dec 31, 2013 58 Dec 31, 2014 49 Dec 31, 2015 47 Dec 31, 2016 79 Dec 31, 2017 100 Dec 31, 2018 108

Vega-Lite specification:
{"config": {"background": "#f9f9f9", "area": {"fill": "#ab5787"}, "line": {"stroke": "#ab5787"}, "rect": {"fill": "#ab5787"}, "bar": {"fill": "#ab5787"}, "point": {"fill": "#ab5787", "size": 30}, "axis": {"domainColor": "#979797", "domainWidth": 0.5, "gridWidth": 0.2, "labelColor": "#979797", "tickColor": "#979797", "tickWidth": 0.2, "titleColor": "#979797"}, "axisBand": {"grid": false}, "axisX": {"grid": true, "tickSize": 10}, "axisY": {"domain": false, "grid": true, "tickSize": 0}, "legend": {"labelFontSize": 11, "padding": 1, "symbolSize": 30, "symbolType": "square"}, "range": {"category": ["#ab5787", "#51b2e5", "#703c5c", "#168dd9", "#d190b6", "#00609f", "#d365ba", "#154866", "#666666", "#c4c4c4"]}}, "data": {"url": "data/19004.tsv"}, "mark": "area", "encoding": {"color": {"value": "#168dd9"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Gate receipts in million U.S. dollars"}, "field": "Gate receipts in million U\\.S\\. dollars"}}, "title": ["Gate receipts of the Atlanta Braves from", "2009 to 2019 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There has been more cargo ships that have been lost than any other type of vessel.

Chart data: Number of losses vessel type 15 Cargo ships 9 Fishery vessels 4 Others 3 Ro-ro ships 3 Tug boats 3 Passenger ships 1 Unknown 1 Barges 1 Container ships 1 Bulk carriers

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/19011.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fdbf11"}, "x": {"type": "quantitative", "axis": {"title": "Number of losses"}, "field": "Number of losses"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "vessel type"}}, "title": ["Number of ship losses worldwide in 2019", ", by vessel type"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There were roughly 15 cargo ship losses in the world in 2019, making cargo ships the most lost ship. Fishery vessels were the 2nd most lost ship with a number of about 9 lost ships. Only one barge, bulk carrier and container ship were lost. Passenger ships, roro boats and tug boats all had 3 boats lost. Other ships had 4 lost and there was 1 unknown lost ship.

Chart data: Number of losses vessel type 15 Cargo ships 9 Fishery vessels 4 Others 3 Ro-ro ships 3 Tug boats 3 Passenger ships 1 Unknown 1 Barges 1 Container ships 1 Bulk carriers

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/19011.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fdbf11"}, "x": {"type": "quantitative", "axis": {"title": "Number of losses"}, "field": "Number of losses"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "vessel type"}}, "title": ["Number of ship losses worldwide in 2019", ", by vessel type"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Thr volume of almond import did not fluctuate from 2018-2919.

Chart data: Year Import volume in thousand metric tons 2020/21* 35 2019/20 29.7 2018/19 29.6 2017/18 35.6 2016/17 35.5 2015/16 32.8 2014/15 35 2013/14 33.7 2012/13 31.2 2011/12 28.4 2010/11 27.6

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/19016.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fdc086"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Import volume in thousand metric tons"}, "field": "Import volume in thousand metric tons"}}, "title": ["Volume of almonds imported to Canada from", "2010/11 to 2020/21 (in 1,000 metric tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between 2010 and 2021, Canada imported over 25,000 metric tons of almonds each year. From 2010 to 2015, the volume of almonds that Canada imported increased every year. In 2018/19 and 2019/20, Canada imported fewer almonds per year than it had in the previous six years.

Chart data: Year Import volume in thousand metric tons 2020/21* 35 2019/20 29.7 2018/19 29.6 2017/18 35.6 2016/17 35.5 2015/16 32.8 2014/15 35 2013/14 33.7 2012/13 31.2 2011/12 28.4 2010/11 27.6

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/19016.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fdc086"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Import volume in thousand metric tons"}, "field": "Import volume in thousand metric tons"}}, "title": ["Volume of almonds imported to Canada from", "2010/11 to 2020/21 (in 1,000 metric tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is a consistent year-on-year reduction in the mortality rate between 2009 and 2019.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 25.1 Dec 31, 2009 24.8 Dec 31, 2010 24.5 Dec 31, 2011 24.3 Dec 31, 2012 24 Dec 31, 2013 23.7 Dec 31, 2014 23.5 Dec 31, 2015 23.1 Dec 31, 2016 22.7 Dec 31, 2017 22.2 Dec 31, 2018 21.6

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/1902.tsv"}, "mark": "line", "encoding": {"color": {"value": "#4285F4"}, "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": ["Philippines : Infant mortality rate from", "2009 to 2019 (in deaths per 1,000 live births)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The infant mortality rate of the Philippines drops at a steady rate from 25 per 1000 live births in 2009 to between 23 and 24 per 1000 live births in 2015.  From 2015 this number drops more sharply to around 21/22 in 2019.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 25.1 Dec 31, 2009 24.8 Dec 31, 2010 24.5 Dec 31, 2011 24.3 Dec 31, 2012 24 Dec 31, 2013 23.7 Dec 31, 2014 23.5 Dec 31, 2015 23.1 Dec 31, 2016 22.7 Dec 31, 2017 22.2 Dec 31, 2018 21.6

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/1902.tsv"}, "mark": "line", "encoding": {"color": {"value": "#4285F4"}, "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": ["Philippines : Infant mortality rate from", "2009 to 2019 (in deaths per 1,000 live births)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of aircraft lease returns and extensions were significantly higher by AerCap and GECAS.

Chart data: Number of lease returns and extensions lessor 192 AerCap 126 GECAS 71 Avolon 43 DAE Capital 35 SMBC AC 33 Macquarie 28 BOC Aviaton 23 ALAFCO 23 BBAM 22 ACG 20 Castlelake 18 APF 13 CDB 13 ALC 13 Nomura

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/19030.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bab0ac"}, "x": {"type": "quantitative", "axis": {"title": "Number of lease returns and extensions"}, "field": "Number of lease returns and extensions"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "lessor"}}, "title": ["Number of aircraft lease returns and extensions", "in 2018 , by lessor"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: An increase in data showing how information has increased significantly.

Chart data: Year Household income in current U.S. dollars Dec 31, 1989 27482 Dec 31, 1990 29549 Dec 31, 1991 30048 Dec 31, 1992 31008 Dec 31, 1993 31794 Dec 31, 1994 32929 Dec 31, 1995 34014 Dec 31, 1996 34692 Dec 31, 1997 36413 Dec 31, 1998 38626 Dec 31, 1999 41750 Dec 31, 2000 43611 Dec 31, 2001 42796 Dec 31, 2002 43974 Dec 31, 2003 43786 Dec 31, 2004 47923 Dec 31, 2005 48145 Dec 31, 2006 49174 Dec 31, 2007 50728 Dec 31, 2008 49595 Dec 31, 2009 52504 Dec 31, 2010 55616 Dec 31, 2011 52196 Dec 31, 2012 53774 Dec 31, 2013 56870 Dec 31, 2014 60474 Dec 31, 2015 59374 Dec 31, 2016 59619 Dec 31, 2017 67575 Dec 31, 2018 73071

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/19039.tsv"}, "mark": "area", "encoding": {"color": {"value": "#DB4437"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Household income in current U.S. dollars"}, "field": "Household income in current U\\.S\\. dollars"}}, "title": ["Median household income in Nebraska from", "1990 to 2019 (in current U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Charli is the highest trending tiktok star on this chart.

Chart data: TikTok content creator Number of followers in millions Charli d’Amelio 59.2 Zach King 43.8 Loren Gray 43.63 Addison Rae 42.72 Riyaz 39.84 BabyAriel 33.26 Spencer X 30.99 Faisal shaikh 28.47 Brent Rivera 28.01 GIL CROES 27.37

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/1904.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#666666"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "TikTok content creator"}, "y": {"type": "quantitative", "axis": {"title": "Number of followers in millions"}, "field": "Number of followers in millions"}}, "title": ["Most-followed creators on TikTok worldwide", "as of May 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Charli has the greatest number of followers: nearly 60 millionGil has the least followers. Three come closely tied in second place.

Chart data: TikTok content creator Number of followers in millions Charli d’Amelio 59.2 Zach King 43.8 Loren Gray 43.63 Addison Rae 42.72 Riyaz 39.84 BabyAriel 33.26 Spencer X 30.99 Faisal shaikh 28.47 Brent Rivera 28.01 GIL CROES 27.37

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/1904.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#666666"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "TikTok content creator"}, "y": {"type": "quantitative", "axis": {"title": "Number of followers in millions"}, "field": "Number of followers in millions"}}, "title": ["Most-followed creators on TikTok worldwide", "as of May 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Population in Cyprus is growing year on year and continued growing.

Chart data: Inhabitants in millions Year 0.94 2025* 0.93 2024* 0.92 2023* 0.91 2022* 0.9 2021* 0.89 2020* 0.88 2019 0.86 2018 0.86 2017 0.85 2016 0.85 2015

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/19050.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "quantitative", "axis": {"title": "Inhabitants in millions"}, "field": "Inhabitants in millions"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Cyprus : Total population from 2015 to 2025", "(in million inhabitants)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}