delen/vistext huggingface dataset:
Chart description: For the last 12 months, people have bought a higher number of books, musics, movies, videos and consumer electronics, online.

Chart data: Response Exclusively purchase online (100%) Consumer electronics 0.06 Household appliances 0.04 Clothing and footwear 0.04 Books, music, movies and video games 0.06 Furniture/homeware 0.04 Sports/outdoor equipment 0.04 Jewellery/watches 0.04 DIY/home improvement 0.04 Grocery 0.05 Toys 0.05 Health and beauty 0.05

Vega-Lite specification:
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Chart description: Clothing and footwear was the most purchased item online over the last 12 months, followed closely by books, music, movies and video games. The least purchased items online were furniture/homeware and household appliances.

Chart data: Response Almost all of my purchases (81-99%) Consumer electronics 0.06 Household appliances 0.04 Clothing and footwear 0.09 Books, music, movies and video games 0.08 Furniture/homeware 0.04 Sports/outdoor equipment 0.06 Jewellery/watches 0.06 DIY/home improvement 0.07 Grocery 0.07 Toys 0.07 Health and beauty 0.07

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/3962.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f0027f"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Almost all of my purchases (81-99%)"}, "field": "Almost all of my purchases (81-99%)"}}, "title": ["For each of the following product categories", ", how many of your purchases have you made", "online over the last 12 months ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The most bought items online are clothing and footwear. The least bought items online are furniture, homeware and household appliances. The second most bought items online are books, music, movies and video games.

Chart data: Response Almost all of my purchases (81-99%) Consumer electronics 0.06 Household appliances 0.04 Clothing and footwear 0.09 Books, music, movies and video games 0.08 Furniture/homeware 0.04 Sports/outdoor equipment 0.06 Jewellery/watches 0.06 DIY/home improvement 0.07 Grocery 0.07 Toys 0.07 Health and beauty 0.07

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/3962.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f0027f"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Almost all of my purchases (81-99%)"}, "field": "Almost all of my purchases (81-99%)"}}, "title": ["For each of the following product categories", ", how many of your purchases have you made", "online over the last 12 months ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: This person buys less appliances and furniture for their home and spends more on clothing and entertainment.

Chart data: Response Almost all of my purchases (81-99%) Consumer electronics 0.06 Household appliances 0.04 Clothing and footwear 0.09 Books, music, movies and video games 0.08 Furniture/homeware 0.04 Sports/outdoor equipment 0.06 Jewellery/watches 0.06 DIY/home improvement 0.07 Grocery 0.07 Toys 0.07 Health and beauty 0.07

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/3962.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f0027f"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Almost all of my purchases (81-99%)"}, "field": "Almost all of my purchases (81-99%)"}}, "title": ["For each of the following product categories", ", how many of your purchases have you made", "online over the last 12 months ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The most purchases that have been made online are for clothing and footwear. Household appliances are the category with the least amount of purchases being made online.

Chart data: Most of my purchases (61-80%) Response 0.1 Consumer electronics 0.07 Household appliances 0.14 Clothing and footwear 0.13 Books, music, movies and video games 0.08 Furniture/homeware 0.1 Sports/outdoor equipment 0.09 Jewellery/watches 0.12 DIY/home improvement 0.09 Grocery 0.12 Toys 0.13 Health and beauty

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": "multiColumn/data/3962.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#4D4D4D"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Most of my purchases (61-80%)"}, "field": "Most of my purchases (61-80%)"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Response"}}, "title": ["For each of the following product categories", ", how many of your purchases have you made", "online over the last 12 months ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: clothing and footwear is the category most purchased online and house hold appliances the least. Every category is pretty similar with no obvious patterns or trends.

Chart data: Most of my purchases (61-80%) Response 0.1 Consumer electronics 0.07 Household appliances 0.14 Clothing and footwear 0.13 Books, music, movies and video games 0.08 Furniture/homeware 0.1 Sports/outdoor equipment 0.09 Jewellery/watches 0.12 DIY/home improvement 0.09 Grocery 0.12 Toys 0.13 Health and beauty

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": "multiColumn/data/3962.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#4D4D4D"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Most of my purchases (61-80%)"}, "field": "Most of my purchases (61-80%)"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Response"}}, "title": ["For each of the following product categories", ", how many of your purchases have you made", "online over the last 12 months ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The Bar Chart indicates that most of my purchases made over the last twelve months were for Clothing, which Beauty and Healthcare as well as Books/Movies/Video Games being my second most favoured purchases. This indicates that I like to purchase leisure products over  purchases needed for the home.

Chart data: Most of my purchases (61-80%) Response 0.1 Consumer electronics 0.07 Household appliances 0.14 Clothing and footwear 0.13 Books, music, movies and video games 0.08 Furniture/homeware 0.1 Sports/outdoor equipment 0.09 Jewellery/watches 0.12 DIY/home improvement 0.09 Grocery 0.12 Toys 0.13 Health and beauty

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": "multiColumn/data/3962.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#4D4D4D"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Most of my purchases (61-80%)"}, "field": "Most of my purchases (61-80%)"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Response"}}, "title": ["For each of the following product categories", ", how many of your purchases have you made", "online over the last 12 months ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Clothing and Footwear were the highest followed by books and music.

Chart data: Most of my purchases (61-80%) Response 0.1 Consumer electronics 0.07 Household appliances 0.14 Clothing and footwear 0.13 Books, music, movies and video games 0.08 Furniture/homeware 0.1 Sports/outdoor equipment 0.09 Jewellery/watches 0.12 DIY/home improvement 0.09 Grocery 0.12 Toys 0.13 Health and beauty

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": "multiColumn/data/3962.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#4D4D4D"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Most of my purchases (61-80%)"}, "field": "Most of my purchases (61-80%)"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Response"}}, "title": ["For each of the following product categories", ", how many of your purchases have you made", "online over the last 12 months ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Over the last 12 months, the most popular item to purchase online was furniture and homeware at 0.25.

Chart data: Response Don't purchase category online Consumer electronics 0.16 Household appliances 0.25 Clothing and footwear 0.07 Books, music, movies and video games 0.07 Furniture/homeware 0.26 Sports/outdoor equipment 0.17 Jewellery/watches 0.22 DIY/home improvement 0.17 Grocery 0.23 Toys 0.13 Health and beauty 0.13

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/3962.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d2d2d2"}, "x": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Don't purchase category online"}, "field": "Don\\'t purchase category online"}}, "title": ["For each of the following product categories", ", how many of your purchases have you made", "online over the last 12 months ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Bar chart showing online purchases by category types.

Chart data: Response Don't purchase category online Consumer electronics 0.16 Household appliances 0.25 Clothing and footwear 0.07 Books, music, movies and video games 0.07 Furniture/homeware 0.26 Sports/outdoor equipment 0.17 Jewellery/watches 0.22 DIY/home improvement 0.17 Grocery 0.23 Toys 0.13 Health and beauty 0.13

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/3962.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d2d2d2"}, "x": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Don't purchase category online"}, "field": "Don\\'t purchase category online"}}, "title": ["For each of the following product categories", ", how many of your purchases have you made", "online over the last 12 months ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Sports/Outdoor equipment is the most popular category to be purchased online.  The least popular is clothing and footwear. There are only 3 categories that come under 0.10.

Chart data: Don't purchase category at all Response 0.1 Consumer electronics 0.12 Household appliances 0.03 Clothing and footwear 0.07 Books, music, movies and video games 0.14 Furniture/homeware 0.17 Sports/outdoor equipment 0.13 Jewellery/watches 0.16 DIY/home improvement 0.13 Grocery 0.15 Toys 0.07 Health and beauty

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/3962.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#94aace"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Don't purchase category at all"}, "field": "Don\\'t purchase category at all"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}}, "title": ["For each of the following product categories", ", how many of your purchases have you made", "online over the last 12 months ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The most online purchases were in sports, DIY and toys. The least common was clothing and footwear.

Chart data: Don't purchase category at all Response 0.1 Consumer electronics 0.12 Household appliances 0.03 Clothing and footwear 0.07 Books, music, movies and video games 0.14 Furniture/homeware 0.17 Sports/outdoor equipment 0.13 Jewellery/watches 0.16 DIY/home improvement 0.13 Grocery 0.15 Toys 0.07 Health and beauty

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/3962.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#94aace"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Don't purchase category at all"}, "field": "Don\\'t purchase category at all"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}}, "title": ["For each of the following product categories", ", how many of your purchases have you made", "online over the last 12 months ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The results seem to depict a larger response based on population coupled with the wealth of the counrty. For example India has a large population but is economically poorer as opposed to the US which has a large population and is relatively richer.

Chart data: Nonsurgical Country 2869485 United States 769078 Brazil 525200 Mexico 536150 Germany 505103 India 542752 Italy 328405 Argentina 135473 Colombia 100238 Australia 35018 Thailand

Vega-Lite specification:
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Chart description: United States and Brazil are the 2 highest procedures, although the US has more that triple the amount than Brazil. Mexico, Italy, Germany and India have very similar amounts of procedures at around 500000 (half million) Thailand has by far the least procedures of all the countries listed.

Chart data: Nonsurgical Country 2869485 United States 769078 Brazil 525200 Mexico 536150 Germany 505103 India 542752 Italy 328405 Argentina 135473 Colombia 100238 Australia 35018 Thailand

Vega-Lite specification:
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Chart description: The people of Japan felt more threatened by covid than other countries at the start of the pandemic. Other countries felt a fairly similar level of threat.

Chart data: February 14 to 15 Response 0.31 Australia 0.15 Canada 0.2 France 0.17 Germany 0.26 Italy 0.6 Japan 0.26 Russia 0.24 United Kingdom 0.28 United States

Vega-Lite specification:
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Chart description: here is a bar chart representing different countries views on covid severity levels, it seems there is no skew to different continental regions as such but noticeable increases in some European countries like Italy. It seems the risk assessment has a broad range between nations.

Chart data: Response March 12 to 14 Australia 0.46 Canada 0.32 France 0.65 Germany 0.53 Italy 0.84 Japan 0.63 Russia 0.36 United Kingdom 0.45 United States 0.5 Vietnam* 0.72 China** 0.71 India** 0.6

Vega-Lite specification:
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Chart description: Italian respondents felt that Covid posed the greatest risk and Canada respondents the least risk. There was quite a lot of fluctuation between the countries.

Chart data: Response March 12 to 14 Australia 0.46 Canada 0.32 France 0.65 Germany 0.53 Italy 0.84 Japan 0.63 Russia 0.36 United Kingdom 0.45 United States 0.5 Vietnam* 0.72 China** 0.71 India** 0.6

Vega-Lite specification:
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Chart description: Generally distribution has got higher from 2009 to 2019. doesn't fall below. The distribution of the gross domestic product does not fall below 0.030.

Chart data: Year Agriculture Dec 31, 2008 0.0324 Dec 31, 2009 0.0322 Dec 31, 2010 0.0309 Dec 31, 2011 0.0317 Dec 31, 2012 0.0314 Dec 31, 2013 0.0313 Dec 31, 2014 0.032 Dec 31, 2015 0.0335 Dec 31, 2016 0.0339 Dec 31, 2017 0.0339 Dec 31, 2018 0.0347

Vega-Lite specification:
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Chart description: From 2010 to 2018 there was a slight decrease in the number of 0-14 year olds in Hungary.

Chart data: Year 0-14 years Dec 31, 2008 0.1499 Dec 31, 2009 0.1486 Dec 31, 2010 0.1472 Dec 31, 2011 0.1461 Dec 31, 2012 0.1452 Dec 31, 2013 0.1447 Dec 31, 2014 0.1445 Dec 31, 2015 0.1437 Dec 31, 2016 0.1437 Dec 31, 2017 0.1441 Dec 31, 2018 0.1443

Vega-Lite specification:
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Chart description: Te number of people over 65 is increasing over the time period plotted.

Chart data: Year 65 years and older Dec 31, 2008 0.1604 Dec 31, 2009 0.1609 Dec 31, 2010 0.1635 Dec 31, 2011 0.1658 Dec 31, 2012 0.1682 Dec 31, 2013 0.1711 Dec 31, 2014 0.1747 Dec 31, 2015 0.18 Dec 31, 2016 0.1858 Dec 31, 2017 0.1916 Dec 31, 2018 0.1969

Vega-Lite specification:
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Chart description: The Scholz & Friends advertising agency were the most successful according to the Cannes Lions Ranking. They had a score of 45 points compared to the lowest ranked agency who had a score of 2 points.

Chart data: Points Agency 46 Scholz & Friends 19 Ogilvy 17 DDB 16 Anorak / Antoni 13 Heimat 12 Serviceplan 8 BBDO 5 Publicis Pixelpark 3 Mutabor 3 Iconoclast / Antoni

Vega-Lite specification:
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Chart description: Travel and tourism has been steadily increasing since 2012. Tourism makes up roughly 15 to 16% of the GDP of the Dominican Republic.

Chart data: Year Total contribution Dec 31, 2009 0.145 Dec 31, 2010 0.1422 Dec 31, 2011 0.1488 Dec 31, 2012 0.1537 Dec 31, 2013 0.1562 Dec 31, 2014 0.1599 Dec 31, 2015 0.1615 Dec 31, 2016 0.1647 Dec 31, 2017 0.1644 Dec 31, 2018 0.1628

Vega-Lite specification:
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Chart description: Sri Lanka share of economic sectors in the gross domestic product (GDP) from 2009 to 2019 has a negative correlation and has declined by 0.05 between the 10 years. The steepest decline was from 2009-10.

Chart data: Year Agriculture Dec 31, 2008 0.1269 Dec 31, 2009 0.085 Dec 31, 2010 0.0883 Dec 31, 2011 0.0745 Dec 31, 2012 0.0767 Dec 31, 2013 0.0801 Dec 31, 2014 0.0818 Dec 31, 2015 0.0743 Dec 31, 2016 0.0783 Dec 31, 2017 0.0792 Dec 31, 2018 0.0742

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Chart description: This chart shows that the share of the Industry sector in the Sri Lankan GDP has remained fairly stable between 2009 to 2019. Aside from a dip in 2010 going from 30% to 25% which rebounded the following year, GDP share stayed around 25%.

Chart data: Year Industry Dec 31, 2008 0.2967 Dec 31, 2009 0.2664 Dec 31, 2010 0.28 Dec 31, 2011 0.3013 Dec 31, 2012 0.2916 Dec 31, 2013 0.283 Dec 31, 2014 0.2717 Dec 31, 2015 0.2782 Dec 31, 2016 0.2677 Dec 31, 2017 0.2659 Dec 31, 2018 0.274

Vega-Lite specification:
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Chart description: Between 2009 and 2019, the share of Sri Lankan GDP for Industry was fairly constant, between approx.0.27 - 0.30. There was a dip of approx. 0.03 between 2009 and 2010.

Chart data: Year Industry Dec 31, 2008 0.2967 Dec 31, 2009 0.2664 Dec 31, 2010 0.28 Dec 31, 2011 0.3013 Dec 31, 2012 0.2916 Dec 31, 2013 0.283 Dec 31, 2014 0.2717 Dec 31, 2015 0.2782 Dec 31, 2016 0.2677 Dec 31, 2017 0.2659 Dec 31, 2018 0.274

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/398.tsv"}, "mark": "line", "encoding": {"color": {"value": "#d190b6"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Industry"}, "field": "Industry"}}, "title": ["Sri Lanka : 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 chart shows an 0.30p share in economic sectors in 2009. This total falls into an immediate decline and by 2010 the share in economic sectors is valued at around 0.27p. From 2010 through to 2012 the shares increase to 0.30p once again; then another steady fall to 0.27p by 2015. There is a small increase in shares to 0.28p in 2016 and then another decline. The trend is steady but negative.

Chart data: Year Industry Dec 31, 2008 0.2967 Dec 31, 2009 0.2664 Dec 31, 2010 0.28 Dec 31, 2011 0.3013 Dec 31, 2012 0.2916 Dec 31, 2013 0.283 Dec 31, 2014 0.2717 Dec 31, 2015 0.2782 Dec 31, 2016 0.2677 Dec 31, 2017 0.2659 Dec 31, 2018 0.274

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/398.tsv"}, "mark": "line", "encoding": {"color": {"value": "#d190b6"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Industry"}, "field": "Industry"}}, "title": ["Sri Lanka : 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"}