delen/vistext huggingface dataset:
Chart description: Cannot find a trend regarding What trends or patterns can I observe.

Chart data: Year Services Dec 31, 2008 0.3879 Dec 31, 2009 0.3831 Dec 31, 2010 0.375 Dec 31, 2011 0.3777 Dec 31, 2012 0.3851 Dec 31, 2013 0.397 Dec 31, 2014 0.3983 Dec 31, 2015 0.3989 Dec 31, 2016 0.3972 Dec 31, 2017 0.3949 Dec 31, 2018 0.3885

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": "multiColumn/data/766.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ec8431"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Services"}, "field": "Services"}}, "title": ["Cambodia : Share of economic sectors in", "the gross domestic product (GDP) from 2009", "to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The United States has the most lululemon athletica stores worldwide. New Zealand has the fewest luluemon athletica stores worldwide.

Chart data: 2013 Country 168 United States 45 Canada 25 Australia 4 New Zealand

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": "multiColumn/data/76.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "2013"}, "field": "2013"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}}, "title": ["Total number of lululemon athletica stores", "worldwide from 2011 to 2020 , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The United States had the most Lululemon stores of all the countries on this bar-chart. The United States has around 270 Lululemon stores. Canada is the second highest with around 50 stores. Australia is third highest with around 25 stores. All of the countries on the bar-chart except the United States have less than 50 stores. Germany and Puerto Rico do not have any stores. Hong Kong and Singapore only have 1 store each. There is no trend in the data.

Chart data: 2015 Country 229 United States 48 Canada 26 Australia 6 United Kingdom 5 New Zealand 1 Germany 2 Singapore 1 Puerto Rico 2 Hong Kong

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": "multiColumn/data/76.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bf5b17"}, "x": {"type": "quantitative", "axis": {"title": "2015"}, "field": "2015"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Country"}}, "title": ["Total number of lululemon athletica stores", "worldwide from 2011 to 2020 , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Of all the countries listed, the United States has by far the fastest growing number of lulumelon stores. In 2019 there are over 300 stores, while Canada has over 50 and all other countries less than this.

Chart data: Country 2019 United State  305; Country: United States Canad  63; Country: Canada China*  38; Country: China** Australi  31; Country: Australia United Kingdo  14; Country: United Kingdom New Zealan  7; Country: New Zealand Japa  7; Country: Japan German  6; Country: Germany South Kore  5; Country: South Korea Singapor  4; Country: Singapore Franc  3; Country: France Swede  2; Country: Sweden Irelan  1; Country: Ireland Switzerlan  1; Country: Switzerland Puerto Ric  0; Country: Puerto Rico

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": "multiColumn/data/76.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#71598e"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "2019"}, "field": "2019"}}, "title": ["Total number of lululemon athletica stores", "worldwide from 2011 to 2020 , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The older people have a very low immune system so their bodies cannot fight the disease.

Chart data: Number of deaths Year 1172 80 years and older 517 70 to 79 years 183 60 to 69 years 64 50 to 59 years 22 40 to 49 years 6 30 to 39 years 2 20 to 29 years 0 10 to 19 years 0 9 years and younger 7 Age unknown

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": "multiColumn/data/775.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#c4c4c4"}, "x": {"type": "quantitative", "axis": {"title": "Number of deaths"}, "field": "Number of deaths"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}}, "title": ["Patients profile of coronavirus disease", "(COVID-19) cases in Japan as of December", "2020 , by age group"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Agriculture GDP dropped in 2015 and again in 2019.

Chart data: Year Agriculture Dec 31, 2008 0.0249 Dec 31, 2009 0.0257 Dec 31, 2010 0.0283 Dec 31, 2011 0.0266 Dec 31, 2012 0.0287 Dec 31, 2013 0.0261 Dec 31, 2014 0.022 Dec 31, 2015 0.0238 Dec 31, 2016 0.0275 Dec 31, 2017 0.0224 Dec 31, 2018 0.0215

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": "multiColumn/data/776.tsv"}, "mark": "area", "encoding": {"color": {"value": "#f1e2cc"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Agriculture"}, "field": "Agriculture"}}, "title": ["Poland : Distribution of gross domestic", "product (GDP) across economic sectors from", "2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The x-axis (Year) has 2-year increments. The y-axis increases in 0.005 increments. The lowest distribution of GDP was in 2019. The highest was in 2013.

Chart data: Year Agriculture Dec 31, 2008 0.0249 Dec 31, 2009 0.0257 Dec 31, 2010 0.0283 Dec 31, 2011 0.0266 Dec 31, 2012 0.0287 Dec 31, 2013 0.0261 Dec 31, 2014 0.022 Dec 31, 2015 0.0238 Dec 31, 2016 0.0275 Dec 31, 2017 0.0224 Dec 31, 2018 0.0215

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": "multiColumn/data/776.tsv"}, "mark": "area", "encoding": {"color": {"value": "#f1e2cc"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Agriculture"}, "field": "Agriculture"}}, "title": ["Poland : Distribution of gross domestic", "product (GDP) across economic sectors from", "2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The rate of unemployment in Belgium has fluctuated between 2008 and 2019, specifically at 2010, 2013, and 2015. There is a decrease from 2010 to 2011, and the rate of unemployment has decreased between 2015 and the end date of the graph 2019.

Chart data: Year Flemish Region Dec 31, 2007 0.039 Dec 31, 2008 0.05 Dec 31, 2009 0.052 Dec 31, 2010 0.043 Dec 31, 2011 0.046 Dec 31, 2012 0.051 Dec 31, 2013 0.051 Dec 31, 2014 0.052 Dec 31, 2015 0.049 Dec 31, 2016 0.044 Dec 31, 2017 0.035 Dec 31, 2018 0.033

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": "multiColumn/data/778.tsv"}, "mark": "area", "encoding": {"color": {"value": "#7570b3"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Flemish Region"}, "field": "Flemish Region"}}, "title": ["Rate of unemployment in Belgium from 2008", "to 2019 , by region"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: This visualisation shows that the rate of unemployment has fluctuated throughout the years of 2008 to 2019. The rate of unemployment seems to be at it's highest 2010 with the lowest rate shown in 2019.

Chart data: Year Flemish Region Dec 31, 2007 0.039 Dec 31, 2008 0.05 Dec 31, 2009 0.052 Dec 31, 2010 0.043 Dec 31, 2011 0.046 Dec 31, 2012 0.051 Dec 31, 2013 0.051 Dec 31, 2014 0.052 Dec 31, 2015 0.049 Dec 31, 2016 0.044 Dec 31, 2017 0.035 Dec 31, 2018 0.033

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": "multiColumn/data/778.tsv"}, "mark": "area", "encoding": {"color": {"value": "#7570b3"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Flemish Region"}, "field": "Flemish Region"}}, "title": ["Rate of unemployment in Belgium from 2008", "to 2019 , by region"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In the walloon region of belgium, rate of unemployment has been unstable from 2008-19. The highest level of unemployment was from 2014-15, at 0.12. The lowest rate of unemployment was in 2019 at around 0.07. This level of unemployment decreased and increased over this period of time.

Chart data: Year Walloon Region Dec 31, 2007 0.101 Dec 31, 2008 0.112 Dec 31, 2009 0.115 Dec 31, 2010 0.095 Dec 31, 2011 0.101 Dec 31, 2012 0.114 Dec 31, 2013 0.12 Dec 31, 2014 0.12 Dec 31, 2015 0.106 Dec 31, 2016 0.098 Dec 31, 2017 0.085 Dec 31, 2018 0.072

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": "multiColumn/data/778.tsv"}, "mark": "line", "encoding": {"color": {"value": "#3580b1"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Walloon Region"}, "field": "Walloon Region"}}, "title": ["Rate of unemployment in Belgium from 2008", "to 2019 , by region"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Over the 10 years the the chart shows that the government spending from 2014 up untill 2022 has increased by 300 billion euros.

Chart data: Year Revenue 2024* 1430.59 2023* 1387.98 2022* 1347.28 2021* 1315.67 2020* 1287.6 2019* 1262.96 2018 1259.14 2017 1230.35 2016 1185.17 2015 1168.96 2014 1146.02

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": "multiColumn/data/782.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#637939"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Revenue"}, "field": "Revenue"}}, "title": ["France : Government revenue and spending", "from 2014 to 2024 (in billion euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Every year shows some increase as the years go on. 2019-2020 are not as large increase between them but there is still some increase.

Chart data: Year Spending 2024* 1501.61 2023* 1456.18 2022* 1413.63 2021* 1377.69 2020* 1348.15 2019* 1341.39 2018 1318.64 2017 1293.95 2016 1264.3 2015 1248.66 2014 1229.96

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": "multiColumn/data/782.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#168dd9"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Spending"}, "field": "Spending"}}, "title": ["France : Government revenue and spending", "from 2014 to 2024 (in billion euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: From 2014 when data collection began, until 2024, which is the last year measured, there has been a steady increase in French Government revenue and spending. It would appear that revenue and spending has increased from approximately 1150 billion Euros to approximately 1400 billion Euros. The trend has been in a upward trajectory at all times.

Chart data: Year Spending 2024* 1501.61 2023* 1456.18 2022* 1413.63 2021* 1377.69 2020* 1348.15 2019* 1341.39 2018 1318.64 2017 1293.95 2016 1264.3 2015 1248.66 2014 1229.96

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": "multiColumn/data/782.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#168dd9"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Spending"}, "field": "Spending"}}, "title": ["France : Government revenue and spending", "from 2014 to 2024 (in billion euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a steady increase in spending between 2014 to 2018 and this rate of growth is expected to continue all the way through 2024. There is no expectation in the reduction of spending.

Chart data: Year Spending 2024* 1501.61 2023* 1456.18 2022* 1413.63 2021* 1377.69 2020* 1348.15 2019* 1341.39 2018 1318.64 2017 1293.95 2016 1264.3 2015 1248.66 2014 1229.96

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": "multiColumn/data/782.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#168dd9"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Spending"}, "field": "Spending"}}, "title": ["France : Government revenue and spending", "from 2014 to 2024 (in billion euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Age in Vietnam has dropped slightly from 0.24 in 2009 to 0.23 in 2019.

Chart data: Year 0-14 years Dec 31, 2008 0.2412 Dec 31, 2009 0.2363 Dec 31, 2010 0.2332 Dec 31, 2011 0.2313 Dec 31, 2012 0.2305 Dec 31, 2013 0.2302 Dec 31, 2014 0.2303 Dec 31, 2015 0.2304 Dec 31, 2016 0.231 Dec 31, 2017 0.2317 Dec 31, 2018 0.2321

Vega-Lite specification:
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Chart description: Those aged 15-64 in Vietnam have remained almost entirely constant between 2009 and 2019.

Chart data: Year 15-64 years Dec 31, 2008 0.6937 Dec 31, 2009 0.6988 Dec 31, 2010 0.702 Dec 31, 2011 0.7039 Dec 31, 2012 0.7046 Dec 31, 2013 0.7043 Dec 31, 2014 0.7031 Dec 31, 2015 0.7014 Dec 31, 2016 0.6987 Dec 31, 2017 0.6955 Dec 31, 2018 0.6923

Vega-Lite specification:
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Chart description: In 2016, it is evident that the United States had over 200 visitor exports. Greece and Canada are shown as the lowest for visitor exports. France and Germany are equal in there visitor exports. 8 of the country fall below 50 visitor export.

Chart data: 2016 Country 212.3 United States 65.7 Spain 46.7 Germany 46.8 France 41.6 Italy 37 United Kingdom 32.4 Japan 20.3 Australia 16.7 Greece 15 Canada

Vega-Lite specification:
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Chart description: In 1760 there was a vast increase in apparent unmanufactured copper. There was a huge drop in 1800 and consumption dropped by a further half in 1810 where it remained at a slow and steady incline until 2140.

Chart data: Apparent, unmanufactured** Reported, refined 1800 1850 1830 1820 1860 1800 1880 1800 1840 1810 1780 1760 1750 1830 1760 1760 1730 1760 1760 1760 1580 1650 1990 2020 2270 2140 2200 2110

Vega-Lite specification:
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Chart description: China was the highest producing cement manufacturer in 2016. India was the next highest producing manufacturer in 2016. The USA was the third highest producer of cement.

Chart data: 2016 Country 2410 China 290 India 70 Vietnam 85.9 United States 55 Egypt 63 Indonesia 53 Iran 56 Russia 60 Brazil 55 South Korea 56 Japan 77 Turkey

Vega-Lite specification:
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Chart description: China had the most cement production in 2018. It produced over 2000 million metric tons. India produced approximately 300 million metric tons, whereas Brazil, Iran, Japan, Russia and South Korea produced the least, at approximately 50 million metric tons of cement.

Chart data: Country 2018 Chin  2200; Country: China Indi  300; Country: India Vietna  90.2; Country: Vietnam United State  87; Country: United States Egyp  81.2; Country: Egypt Indonesi  75.2; Country: Indonesia Ira  58; Country: Iran Russi  53.7; Country: Russia Brazi  53; Country: Brazil South Kore  57.5; Country: South Korea Japa  55.3; Country: Japan Turke  72.5; Country: Turkey

Vega-Lite specification:
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Chart description: From 2015 to 2019, China is the country with the most cement production worldwide out of the rest 11 major countries. India is second in cement production but still with a massive difference between India and China.

Chart data: Country 2018 Chin  2200; Country: China Indi  300; Country: India Vietna  90.2; Country: Vietnam United State  87; Country: United States Egyp  81.2; Country: Egypt Indonesi  75.2; Country: Indonesia Ira  58; Country: Iran Russi  53.7; Country: Russia Brazi  53; Country: Brazil South Kore  57.5; Country: South Korea Japa  55.3; Country: Japan Turke  72.5; Country: Turkey

Vega-Lite specification:
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Chart description: Motor vehicle production has risen steadily, but there was a dip in production around 2010.

Chart data: Year Worldwide Dec 31, 1998 56258892 Dec 31, 1999 58374162 Dec 31, 2000 56304925 Dec 31, 2001 58994318 Dec 31, 2002 60663225 Dec 31, 2003 64496220 Dec 31, 2004 66482439 Dec 31, 2005 69222975 Dec 31, 2006 73266061 Dec 31, 2007 70520493 Dec 31, 2008 61791868 Dec 31, 2009 77629127 Dec 31, 2010 79880028 Dec 31, 2011 84208200 Dec 31, 2012 87507027 Dec 31, 2013 89747430 Dec 31, 2014 90843939 Dec 31, 2015 95057929 Dec 31, 2016 96746802 Dec 31, 2017 96869020 Dec 31, 2018 91786861

Vega-Lite specification:
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Chart description: The cost has been stable, with small increases in January, July and March (2016). The price never went down from 12 CAD/kg. The bar chart does not disclose others year, not being able to understand the variations across the years.

Chart data: Month 2016 De  12.47; Month: Dec No  12.37; Month: Nov Oc  12.29; Month: Oct Se  12.55; Month: Sep Au  12.6; Month: Aug Ju  12.9; Month: Jul Ju  12.24; Month: Jun Ma  12.38; Month: May Ap  12.46; Month: Apr Ma  13; Month: Mar Fe  12.51; Month: Feb Ja  12.99; Month: Jan

Vega-Lite specification:
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Chart description: Age structure has ever so slightly increase but still remains above 65.

Chart data: Year 15-64 years Dec 31, 2008 65.68 Dec 31, 2009 65.89 Dec 31, 2010 66.04 Dec 31, 2011 66.19 Dec 31, 2012 66.32 Dec 31, 2013 66.43 Dec 31, 2014 66.53 Dec 31, 2015 66.63 Dec 31, 2016 66.74 Dec 31, 2017 66.87 Dec 31, 2018 66.98

Vega-Lite specification:
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Chart description: Ageing population of Turkey has increased over the years.

Chart data: Year 65 years+ Dec 31, 2008 7.1 Dec 31, 2009 7.21 Dec 31, 2010 7.32 Dec 31, 2011 7.43 Dec 31, 2012 7.56 Dec 31, 2013 7.7 Dec 31, 2014 7.87 Dec 31, 2015 8.05 Dec 31, 2016 8.26 Dec 31, 2017 8.48 Dec 31, 2018 8.73

Vega-Lite specification:
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Chart description: The trend shows that on average  from 2009 to 2019 that distribution was between 0.006 to 0.012 with the lower range of 0.06 at 2009 and higher ranges at 2011, 2014, 2017, whilst 2012, 2015 and 2018 the distribution was at 0.009 GDP.

Chart data: Year Agriculture Dec 31, 2008 0.0055 Dec 31, 2009 0.0095 Dec 31, 2010 0.0121 Dec 31, 2011 0.0098 Dec 31, 2012 0.0109 Dec 31, 2013 0.0124 Dec 31, 2014 0.0089 Dec 31, 2015 0.0094 Dec 31, 2016 0.0117 Dec 31, 2017 0.0092 Dec 31, 2018 0.009

Vega-Lite specification:
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Chart description: GDP seemed to grow from 2010 - 2014 before taking a slight dip and remaining at that level from (possibly 2015), 2016-2018.

Chart data: Year Services Dec 31, 2008 0.6343 Dec 31, 2009 0.6651 Dec 31, 2010 0.6489 Dec 31, 2011 0.6497 Dec 31, 2012 0.6613 Dec 31, 2013 0.6566 Dec 31, 2014 0.5396 Dec 31, 2015 0.5559 Dec 31, 2016 0.5638 Dec 31, 2017 0.5582 Dec 31, 2018 0.5672

Vega-Lite specification:
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Chart description: As the years have grown more recent the agricultural sector of gross domestic product has declined.

Chart data: Year Agriculture Dec 31, 2007 0.0374 Dec 31, 2008 0.0368 Dec 31, 2009 0.0367 Dec 31, 2010 0.0371 Dec 31, 2011 0.0363 Dec 31, 2012 0.0368 Dec 31, 2013 0.0359 Dec 31, 2014 0.0352 Dec 31, 2015 0.0347 Dec 31, 2016 0.0344 Dec 31, 2017 0.04

Vega-Lite specification:
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Chart description: The distribution of GDP fluctuates ever so slightly over time.

Chart data: Year Services Dec 31, 2007 0.6197 Dec 31, 2008 0.639 Dec 31, 2009 0.6322 Dec 31, 2010 0.6294 Dec 31, 2011 0.6345 Dec 31, 2012 0.6375 Dec 31, 2013 0.6403 Dec 31, 2014 0.6493 Dec 31, 2015 0.6543 Dec 31, 2016 0.6513 Dec 31, 2017 0.612

Vega-Lite specification:
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Chart description: European countries (as well as Argentina) seem to have very low infection rates compared to the USA, India dn Brazil. Although infections are high for these countries, it still seems as though they do not account for all the World infections.

Chart data: Country Total infections World 77920539 USA 18487519 India 10094801 Brazil 7264221 Russia 2906503 France 2479151 UK 2073511 Turkey 2043704 Italy 1964054 Spain 1830110 Argentina 1547138

Vega-Lite specification:
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Chart description: USA , India and Brazil have the most inflected.  The rest of the world has significantly less.

Chart data: Country Total infections World 77920539 USA 18487519 India 10094801 Brazil 7264221 Russia 2906503 France 2479151 UK 2073511 Turkey 2043704 Italy 1964054 Spain 1830110 Argentina 1547138

Vega-Lite specification:
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Chart description: Argentina and Brazil are showing as countries least impacted by covid 19. USA was the most affected and significantly higher than any of the other counties. The USA accounted for more than a quarter of all cases. France was the next country most affected.

Chart data: Active infections Country 21420497 World 7353393 USA 291504 India 789919 Brazil 535071 Russia 2233787 France 190648 Turkey 613582 Italy 130740 Argentina

Vega-Lite specification:
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