delen/vistext huggingface dataset:
Chart description: Madhya Pradesh, Uttar Pradesh and West Bengal are the three Indian states that had the highest number of cattle in 2019.

Chart data: state of India Cattle in millions West Bengal 19 Uttar Pradesh 18.8 Madhya Pradesh 18.7 Bihar 15.3 Maharashtra 13.9 Rajasthan 13.9 Jharkhand 11.2 Assam 10.9 Chhattisgarh 10 Odisha 9.9

Vega-Lite specification:
{"config": {"background": "#000", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#7fc97f", "#beaed4", "#fdc086", "#ffff99", "#386cb0", "#f0027f", "#bf5b17", "#666666"]}}, "data": {"url": "data/23103.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#666666"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "state of India"}, "y": {"type": "quantitative", "axis": {"title": "Cattle in millions"}, "field": "Cattle in millions"}}, "title": ["Indian states with the highest number of", "cattle in 2019 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of cattle in India ranges from 10 to 19 million. The highest number of cattle are in west bengal.

Chart data: state of India Cattle in millions West Bengal 19 Uttar Pradesh 18.8 Madhya Pradesh 18.7 Bihar 15.3 Maharashtra 13.9 Rajasthan 13.9 Jharkhand 11.2 Assam 10.9 Chhattisgarh 10 Odisha 9.9

Vega-Lite specification:
{"config": {"background": "#000", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#7fc97f", "#beaed4", "#fdc086", "#ffff99", "#386cb0", "#f0027f", "#bf5b17", "#666666"]}}, "data": {"url": "data/23103.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#666666"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "state of India"}, "y": {"type": "quantitative", "axis": {"title": "Cattle in millions"}, "field": "Cattle in millions"}}, "title": ["Indian states with the highest number of", "cattle in 2019 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: N. Dakota produced the highest production value Pennsylvania produced the lowest Only two states produced more than 15000 thousand dollars No state produced lower than 5000 thousand dollars.

Chart data: Production value in thousand U.S. dollars State 20664 North Dakota 19086 South Dakota 14823 Wisconsin 14558 Minnesota 12375 Texas 10238 Michegan 7020 Ohio 6850 New York 6360 Pennsylvania 5810 Illinois

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/2310.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#51b2e5"}, "x": {"type": "quantitative", "axis": {"title": "Production value in thousand U.S. dollars"}, "field": "Production value in thousand U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "State"}}, "title": ["Top 10 U.S. states based on production value", "of oats in 2018 (in 1,000 U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of deaths due to terrorist attacks in the EU peaked in 2015.

Chart data: Year Number of fatalities Dec 31, 2009 7 Dec 31, 2010 79 Dec 31, 2011 17 Dec 31, 2012 7 Dec 31, 2013 4 Dec 31, 2014 151 Dec 31, 2015 142 Dec 31, 2016 68 Dec 31, 2017 13 Dec 31, 2018 10

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/23123.tsv"}, "mark": "area", "encoding": {"color": {"value": "#c89d29"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Number of fatalities"}, "field": "Number of fatalities"}}, "title": ["Number of fatalities due to terrorist attacks", "in the European Union (EU) from 2010 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of people who participated in aquatic exercise rose and fell several time between 2006 to 20182016 saw the highest number of participants2013 saw the lowest number of participants.

Chart data: Year Number of participants in millions Dec 31, 2005 9.53 Dec 31, 2006 9.76 Dec 31, 2007 9.27 Dec 31, 2008 8.66 Dec 31, 2009 9.23 Dec 31, 2010 8.85 Dec 31, 2011 9.5 Dec 31, 2012 8.48 Dec 31, 2013 9.12 Dec 31, 2014 9.23 Dec 31, 2015 10.58 Dec 31, 2016 10.46 Dec 31, 2017 10.52

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/23126.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ce6dbd"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Number of participants in millions"}, "field": "Number of participants in millions"}}, "title": ["Number of participants in aquatic exercise", "in the United States from 2006 to 2018 (in", "millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There doesn’t seem to be a specific pattern with this chart. It’s up and down and very sporadic.

Chart data: Year Number of participants in millions Dec 31, 2005 9.53 Dec 31, 2006 9.76 Dec 31, 2007 9.27 Dec 31, 2008 8.66 Dec 31, 2009 9.23 Dec 31, 2010 8.85 Dec 31, 2011 9.5 Dec 31, 2012 8.48 Dec 31, 2013 9.12 Dec 31, 2014 9.23 Dec 31, 2015 10.58 Dec 31, 2016 10.46 Dec 31, 2017 10.52

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/23126.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ce6dbd"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Number of participants in millions"}, "field": "Number of participants in millions"}}, "title": ["Number of participants in aquatic exercise", "in the United States from 2006 to 2018 (in", "millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: US imports of edible fishery product has been increasing since 1940 from less than 250,000 in metric tons to over 2,700,000 metric tons in 2018. The steepest growth in edible fishery products imported to the US was just after the year 2000.

Chart data: Year Imports in metric tons Dec 31, 1939 137220 Dec 31, 1949 290174 Dec 31, 1959 496690 Dec 31, 1969 849715 Dec 31, 1979 972923 Dec 31, 1989 1308444 Dec 31, 1999 1804519 Dec 31, 2004 2320120 Dec 31, 2005 2449468 Dec 31, 2006 2425084 Dec 31, 2007 2370476 Dec 31, 2008 2341242 Dec 31, 2009 2470220 Dec 31, 2010 2426508 Dec 31, 2011 2442081 Dec 31, 2012 2500906 Dec 31, 2013 2524392 Dec 31, 2014 2602691 Dec 31, 2015 2628178 Dec 31, 2016 2684993 Dec 31, 2017 2760859

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/23127.tsv"}, "mark": "line", "encoding": {"color": {"value": "#d8b5a5"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Imports in metric tons"}, "field": "Imports in metric tons"}}, "title": ["U.S. imports of edible fishery products", "from 1940 to 2018 (in metric tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The metropolitan area with the most people adhering to religion is the New York, Northern New Jersey Lo... area. The one with the least is San Antonio, New Braunfels area.

Chart data: Number of adherents Metropolitan Area 10505858 New York-Northern New Jersey-Long Island 6591695 Los Angeles-Long Beach-Santa Ana 5408169 Chicago-Joliet-Naperville 3525880 Dallas-Fort Worth-Arlington 3279316 Houston-Sugar Land-Baytown 3261111 Philadelphia-Camden-Wilmington 2619742 Atlanta-Sandy Springs-Marietta 2584189 Boston-Cambridge-Quincy 2488324 Washington-Arlington-Alexandria 2117809 Miami-Fort Lauderdale-Pompano Beach 1915407 Detroit-Warren-Livonia 1786808 Riverside-San Bernardino-Ontario 1707511 Minneapolis-St. Paul-Bloomington 1638625 San Francisco-Oakland-Fremont 1573094 Phoenix-Mesa-Glendale 1387266 St. Louis 1359459 Pittsburgh 1359377 San Diego-Carlsbad-San Marcos 1226050 Seattle-Tacoma-Bellevue 1158957 San Antonio-New Braunfels

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/23129.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fc4f30"}, "x": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Number of adherents"}, "field": "Number of adherents"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Metropolitan Area"}}, "title": ["Ranking of metropolitan areas in the United", "States in 2010 , by religious adherents"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: I can observe that the income has been inconsistent and gone up and down. Since 2018 however, the income is the highest it's ever been.

Chart data: Year Net income in million U.S. dollars Dec 31, 2004 1087 Dec 31, 2005 978 Dec 31, 2006 1306 Dec 31, 2007 1848 Dec 31, 2008 1590 Dec 31, 2009 905 Dec 31, 2010 1209 Dec 31, 2011 1223 Dec 31, 2012 1125 Dec 31, 2013 1103 Dec 31, 2014 2517 Dec 31, 2015 1324 Dec 31, 2016 1602 Dec 31, 2017 2511 Dec 31, 2018 2784 Dec 31, 2019 2880

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/23134.tsv"}, "mark": "area", "encoding": {"color": {"value": "#C9C9C9"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Net income in million U.S. dollars"}, "field": "Net income in million U\\.S\\. dollars"}}, "title": ["Net income of chemical company Shin-Etsu", "2005 to 2020 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between 2018 and 2020 Shin-Etsu made the most profit. Shin-Etsu's growth seems to be sharp followed by a decline. 2010 was their worst year for profit.

Chart data: Year Net income in million U.S. dollars Dec 31, 2004 1087 Dec 31, 2005 978 Dec 31, 2006 1306 Dec 31, 2007 1848 Dec 31, 2008 1590 Dec 31, 2009 905 Dec 31, 2010 1209 Dec 31, 2011 1223 Dec 31, 2012 1125 Dec 31, 2013 1103 Dec 31, 2014 2517 Dec 31, 2015 1324 Dec 31, 2016 1602 Dec 31, 2017 2511 Dec 31, 2018 2784 Dec 31, 2019 2880

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/23134.tsv"}, "mark": "area", "encoding": {"color": {"value": "#C9C9C9"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Net income in million U.S. dollars"}, "field": "Net income in million U\\.S\\. dollars"}}, "title": ["Net income of chemical company Shin-Etsu", "2005 to 2020 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Venezuela has the greatest decrease of gross domestic product surpassing a decrease of -0.3% Trinidad and Tobago, Ecuador and Qatar haven't had a decrease.

Chart data: Percent change Country −0.35 Venezuela −0.0828 Zimbabwe −0.0759 Islamic Republic of Iran −0.0651 Lebanon −0.061 Equatorial Guinea −0.0471 Macao SAR −0.0388 Nicaragua −0.0252 Sudan −0.0252 Liberia −0.0216 Argentina −0.015 Angola −0.014 Namibia −0.012 Haiti −0.0119 Hong Kong SAR −0.009 Republic of Congo −0.0015 Mexico −0.0014 Tonga 0 Trinidad and Tobago 0.0005 Ecuador 0.0007 Qatar

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/2313.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#5254a3"}, "x": {"type": "quantitative", "axis": {"title": "Percent change"}, "field": "Percent change"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}}, "title": ["The 20 countries with the greatest decrease", "of the gross domestic product (GDP) in 2019", "(compared to the previous year)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Venezuela lost the most GDP in 2019 with minus 0.3%.

Chart data: Percent change Country −0.35 Venezuela −0.0828 Zimbabwe −0.0759 Islamic Republic of Iran −0.0651 Lebanon −0.061 Equatorial Guinea −0.0471 Macao SAR −0.0388 Nicaragua −0.0252 Sudan −0.0252 Liberia −0.0216 Argentina −0.015 Angola −0.014 Namibia −0.012 Haiti −0.0119 Hong Kong SAR −0.009 Republic of Congo −0.0015 Mexico −0.0014 Tonga 0 Trinidad and Tobago 0.0005 Ecuador 0.0007 Qatar

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/2313.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#5254a3"}, "x": {"type": "quantitative", "axis": {"title": "Percent change"}, "field": "Percent change"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}}, "title": ["The 20 countries with the greatest decrease", "of the gross domestic product (GDP) in 2019", "(compared to the previous year)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: From this graph describing 20 countries with the greatest decrease of the gross domestic product i can conclude that Venezuela has the greates decrease of the gross doestic product compared to other countries and Trinidad and Tobago have the lowest decrease of the gross domestic product.

Chart data: Percent change Country −0.35 Venezuela −0.0828 Zimbabwe −0.0759 Islamic Republic of Iran −0.0651 Lebanon −0.061 Equatorial Guinea −0.0471 Macao SAR −0.0388 Nicaragua −0.0252 Sudan −0.0252 Liberia −0.0216 Argentina −0.015 Angola −0.014 Namibia −0.012 Haiti −0.0119 Hong Kong SAR −0.009 Republic of Congo −0.0015 Mexico −0.0014 Tonga 0 Trinidad and Tobago 0.0005 Ecuador 0.0007 Qatar

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/2313.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#5254a3"}, "x": {"type": "quantitative", "axis": {"title": "Percent change"}, "field": "Percent change"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}}, "title": ["The 20 countries with the greatest decrease", "of the gross domestic product (GDP) in 2019", "(compared to the previous year)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The dollar sales share of sandwiches is the highest prepared food in the United States in 2015. Soup, frozen treats, hamburgers and salads are among the lowest dollar sales share of prepared food in the United States in 2015. Hot dogs and Pizza produced the same dollar sales share of prepared food in the United States in 2015.

Chart data: type of food or dish Dollar sales share Sandwiches 0.26 Hot dogs 0.167 Pizza 0.167 Chicken 0.124 Bakery 0.069 Salads 0.039 Hamburgers 0.035 Soup 0.024 Frozen treats 0.019 All other prepared food 0.096

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/23141.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d98445"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "type of food or dish"}, "y": {"type": "quantitative", "axis": {"title": "Dollar sales share"}, "field": "Dollar sales share"}}, "title": ["Dollar sales share of prepared food in the", "United States in 2015 , by type"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The dollar sales share of sandwiches is much greater than any other food shown on the chart, to the point where the "Sandwiches" bar is not fully displayed within the scale of the chart.

Chart data: type of food or dish Dollar sales share Sandwiches 0.26 Hot dogs 0.167 Pizza 0.167 Chicken 0.124 Bakery 0.069 Salads 0.039 Hamburgers 0.035 Soup 0.024 Frozen treats 0.019 All other prepared food 0.096

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/23141.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d98445"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "type of food or dish"}, "y": {"type": "quantitative", "axis": {"title": "Dollar sales share"}, "field": "Dollar sales share"}}, "title": ["Dollar sales share of prepared food in the", "United States in 2015 , by type"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of Nissan cars sold in Sweden was the highest in 2009. The lowest number of Nissan cars sold in Sweden was 2018.

Chart data: Year Units sold Dec 31, 2008 3416 Dec 31, 2009 5510 Dec 31, 2010 7191 Dec 31, 2011 6468 Dec 31, 2012 6535 Dec 31, 2013 8022 Dec 31, 2014 10585 Dec 31, 2015 9821 Dec 31, 2016 9483 Dec 31, 2017 10779 Dec 31, 2018 9365

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/23152.tsv"}, "mark": "line", "encoding": {"color": {"value": "#56cc60"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Units sold"}, "field": "Units sold"}}, "title": ["Number of Nissan cars sold in Sweden from", "2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Retail trade and manufacturing have the highest share of employment. Utilities, management of companies and unclassified businesses have the lowest share of employment.

Chart data: Industry Share of employment Retail trade 0.158 Manufacturing 0.131 Accommodation and food services 0.104 Construction 0.084 Professional, scientific and technical services 0.077 Transportation and warehousing 0.067 Administrative and support, waste management and remediation services 0.065 Wholesale trade 0.064 Finance and insurance 0.061 Other services (except public administration) 0.049 Information and cultural industries 0.029 Arts, entertainment and recreation 0.025 Real estate and rental and leasing 0.024 Mining, quarrying, and oil and gas extraction 0.018 Agriculture, forestry, fishing and hunting 0.017 Utilities 0.01 Unclassified businesses 0.009 Management of companies and enterprises 0.008

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/23154.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#118DFF"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Industry"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Share of employment"}, "field": "Share of employment"}}, "title": ["Share of employment in the private sector", "in Canada in 2018 , by industry"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Ontario has the highest, with 100 establishments, followed by Quebec with fewer than 80, then British Columbia with just over 40the remaining 7 all had fewer than 20.

Chart data: Number of establishments province of Canada 101 Ontario 77 Quebec 44 British Columbia 16 Alberta 5 Nova Scotia 5 Manitoba 3 Saskatchewan 3 New Brunswick 1 Prince Edward Island 1 Newfoundland and Labrador

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/23156.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d67195"}, "x": {"type": "quantitative", "axis": {"title": "Number of establishments"}, "field": "Number of establishments"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "province of Canada"}}, "title": ["Number of sporting and athletic goods manufacturing", "establishments in Canada as of December 2019", ", by region"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of children born to women between 2008 and 2018 has gradually reduced from just below 7 per woman to just below 6.

Chart data: Year Number of children born per woman Dec 31, 2007 6.67 Dec 31, 2008 6.61 Dec 31, 2009 6.55 Dec 31, 2010 6.47 Dec 31, 2011 6.4 Dec 31, 2012 6.32 Dec 31, 2013 6.23 Dec 31, 2014 6.15 Dec 31, 2015 6.06 Dec 31, 2016 5.97 Dec 31, 2017 5.88

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/23157.tsv"}, "mark": "line", "encoding": {"color": {"value": "#d09393"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of children born per woman"}, "field": "Number of children born per woman"}}, "title": ["Mali : Fertility rate from 2008 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Commercial and militar is the most common explosive found.

Chart data: Number of incidents involving explosives Incident 63 Recovery of commercial & military explosives 26 Recovery of IED & HME 15 Hoax device 11 Recovery of inert military ordnance 7 Bombing 6 Attempted bombing 5 CBRN incidents 3 Theft of explosives 1 Accidental explosion 0 Injured 0 Death

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/23158.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#B0B0B0"}, "x": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Number of incidents involving explosives"}, "field": "Number of incidents involving explosives"}, "y": {"type": "nominal", "axis": {"labelAngle": -45}, "bin": false, "field": "Incident"}}, "title": ["Criminal use of explosives in Canada in", "2014 , by incident"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Please accept my apologies, I have no ideas about this chart.

Chart data: region of Finland Number of live births Uusimaa 15739 Pirkanmaa 4317 North Ostrobothnia 3902 Southwest Finland 3762 Central Finland 2150 North Savo 1782 Ostrobothnia 1715 South Ostrobothnia 1598 Satakunta 1528 Päijät-Häme 1375 Lapland 1355 Kanta-Häme 1229 North Karelia 1083 Kymenlaakso 1079 South Savo 828 South Karelia 794 Central Ostrobothnia 651 Kainuu 459 Åland 267

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/23164.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#6d904f"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "region of Finland"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Number of live births"}, "field": "Number of live births"}}, "title": ["Number of births in Finland in 2019 , by", "region"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: life expectancy has risen in haiti. life expectancy in haiti is almost 70 years old.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 59.78 Dec 31, 2008 60.15 Dec 31, 2009 60.51 Dec 31, 2010 60.88 Dec 31, 2011 61.26 Dec 31, 2012 61.66 Dec 31, 2013 62.07 Dec 31, 2014 62.49 Dec 31, 2015 62.9 Dec 31, 2016 63.29 Dec 31, 2017 63.66

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/23168.tsv"}, "mark": "area", "encoding": {"color": {"value": "#fcbfd2"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Life expectancy at birth in years"}, "field": "Life expectancy at birth in years"}}, "title": ["Haiti : Life expectancy at birth from 2008", "to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: the population has remained virtually the same from 2007 to 2014 (around 11 million).

Chart data: Year Total population Dec 31, 2006 11036008 Dec 31, 2007 11060937 Dec 31, 2008 11094745 Dec 31, 2009 11119289 Dec 31, 2010 11123392 Dec 31, 2011 11086406 Dec 31, 2012 11003615 Dec 31, 2013 10926807 Dec 31, 2014 10858018 Dec 31, 2015 10783748

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/23172.tsv"}, "mark": "line", "encoding": {"color": {"value": "#adc839"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Total population"}, "field": "Total population"}}, "title": ["Total population of Greece from 2007 to", "2016"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Greece’s population slightly declined from just over 11 million in 2007, to just under 11 million in 2016.

Chart data: Year Total population Dec 31, 2006 11036008 Dec 31, 2007 11060937 Dec 31, 2008 11094745 Dec 31, 2009 11119289 Dec 31, 2010 11123392 Dec 31, 2011 11086406 Dec 31, 2012 11003615 Dec 31, 2013 10926807 Dec 31, 2014 10858018 Dec 31, 2015 10783748

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/23172.tsv"}, "mark": "line", "encoding": {"color": {"value": "#adc839"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Total population"}, "field": "Total population"}}, "title": ["Total population of Greece from 2007 to", "2016"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The population of Greece started to decrease in 2011 from 11 million to about 10.5 million in 2015.

Chart data: Year Total population Dec 31, 2006 11036008 Dec 31, 2007 11060937 Dec 31, 2008 11094745 Dec 31, 2009 11119289 Dec 31, 2010 11123392 Dec 31, 2011 11086406 Dec 31, 2012 11003615 Dec 31, 2013 10926807 Dec 31, 2014 10858018 Dec 31, 2015 10783748

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/23172.tsv"}, "mark": "line", "encoding": {"color": {"value": "#adc839"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Total population"}, "field": "Total population"}}, "title": ["Total population of Greece from 2007 to", "2016"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The top importers of tuna into the UK are the Seychelles, Ecuador, Ghana, Mauritius and the Philippines, who all have a share of 0.10 and above of the total volume imported. The Seychelles is the main importer with a share of  over 0.15 of the total volume imported.

Chart data: Share of total volume imported Response 0.159 Seychelles 0.143 Ghana 0.135 Ecuador 0.131 Mauritius 0.109 Philippines 0.077 Spain 0.059 Thailand 0.042 Indonesia 0.035 Portugal 0.022 France

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/23190.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#118DFF"}, "x": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Share of total volume imported"}, "field": "Share of total volume imported"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}}, "title": ["Distribution of top importers of tuna in", "the United Kingdom (UK) in 2017 , by share", "of total volume imported"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The seychelles is the top importor of tuna  in the United Kingdom in 2017. France is the lowest importor of tuna  in the United Kingdom in 2017.

Chart data: Share of total volume imported Response 0.159 Seychelles 0.143 Ghana 0.135 Ecuador 0.131 Mauritius 0.109 Philippines 0.077 Spain 0.059 Thailand 0.042 Indonesia 0.035 Portugal 0.022 France

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/23190.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#118DFF"}, "x": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Share of total volume imported"}, "field": "Share of total volume imported"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}}, "title": ["Distribution of top importers of tuna in", "the United Kingdom (UK) in 2017 , by share", "of total volume imported"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}