delen/vistext huggingface dataset:
Chart description: Th e guardian appears to be the strongest selling magazine throughout the entire time period, papers that seem to sell real news rather than enflated news seem to be better sellers.

Chart data: 2015 Newspapers 0.087 The Sun 0.068 Daily Mail 0.063 Metro 0.045 Daily Mirror/Record 0.036 Daily Mirror 0.034 London Evening Standard 0.022 The Daily Telegraph 0.02 The Times 0.016 The Guardian 0.015 Daily Express 0.016 Daily Star 0.01 i 0.01 Daily Record 0.005 The Independent

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/4052.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ab7fb4"}, "x": {"type": "quantitative", "axis": {"title": "2015"}, "field": "2015"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Newspapers"}}, "title": ["Newspapers ranked by readership average", "issue reach in the United Kingdom (UK) in", "2013 and 2016"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The Sun has the highest readership average issue reach in the UK in 2015, with the Daily Mail in second place and the Metro in third place. The Independent has the lowest average issue reach.

Chart data: 2015 Newspapers 0.087 The Sun 0.068 Daily Mail 0.063 Metro 0.045 Daily Mirror/Record 0.036 Daily Mirror 0.034 London Evening Standard 0.022 The Daily Telegraph 0.02 The Times 0.016 The Guardian 0.015 Daily Express 0.016 Daily Star 0.01 i 0.01 Daily Record 0.005 The Independent

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/4052.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ab7fb4"}, "x": {"type": "quantitative", "axis": {"title": "2015"}, "field": "2015"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Newspapers"}}, "title": ["Newspapers ranked by readership average", "issue reach in the United Kingdom (UK) in", "2013 and 2016"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between 2010 and 2020 the distribution of employment within the agricultural sector decreased from 0.39 to 0.31. Between 2010 and 2012 employment increased from 0.39 to 0.45. This was followed by a decline in 2014. Between 2014 and 2020 the distribution of employment within the agriculture sector showed small fluctuations.

Chart data: Year Agriculture Dec 31, 2009 0.3824 Dec 31, 2010 0.4101 Dec 31, 2011 0.4214 Dec 31, 2012 0.396 Dec 31, 2013 0.3344 Dec 31, 2014 0.3228 Dec 31, 2015 0.3116 Dec 31, 2016 0.3146 Dec 31, 2017 0.3214 Dec 31, 2018 0.3162 Dec 31, 2019 0.3116

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": "multiColumn/data/405.tsv"}, "mark": "line", "encoding": {"color": {"value": "#6d904f"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Agriculture"}, "field": "Agriculture"}}, "title": ["Thailand : Distribution of employment by", "economic sector from 2010 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The rate of employment in agriculture in Thailand, generally has dropped yearly since 2010. The largest dip occured in 2012 - 2013. A slight rise in 2016 - 2017 was then cancelled out in 2018 - 2020.

Chart data: Year Agriculture Dec 31, 2009 0.3824 Dec 31, 2010 0.4101 Dec 31, 2011 0.4214 Dec 31, 2012 0.396 Dec 31, 2013 0.3344 Dec 31, 2014 0.3228 Dec 31, 2015 0.3116 Dec 31, 2016 0.3146 Dec 31, 2017 0.3214 Dec 31, 2018 0.3162 Dec 31, 2019 0.3116

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": "multiColumn/data/405.tsv"}, "mark": "line", "encoding": {"color": {"value": "#6d904f"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Agriculture"}, "field": "Agriculture"}}, "title": ["Thailand : Distribution of employment by", "economic sector from 2010 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In 2014 the industries distribution of employment increased it decreased slightly after 2016.

Chart data: Year Industry Dec 31, 2009 0.2064 Dec 31, 2010 0.1944 Dec 31, 2011 0.1982 Dec 31, 2012 0.2116 Dec 31, 2013 0.2352 Dec 31, 2014 0.2368 Dec 31, 2015 0.2368 Dec 31, 2016 0.2285 Dec 31, 2017 0.2281 Dec 31, 2018 0.2263 Dec 31, 2019 0.2252

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": "multiColumn/data/405.tsv"}, "mark": "line", "encoding": {"color": {"value": "#52d2ca"}, "x": {"type": "temporal", "axis": {"labelAngle": 90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Industry"}, "field": "Industry"}}, "title": ["Thailand : Distribution of employment by", "economic sector from 2010 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Since 2009 the age structure in Madagascar has declined. In 2019 the game structure is at the lowest it has been and sits at 0.4.

Chart data: Year 0-14 years Dec 31, 2008 0.4385 Dec 31, 2009 0.4352 Dec 31, 2010 0.4321 Dec 31, 2011 0.4283 Dec 31, 2012 0.4243 Dec 31, 2013 0.4202 Dec 31, 2014 0.4164 Dec 31, 2015 0.4129 Dec 31, 2016 0.4097 Dec 31, 2017 0.4067 Dec 31, 2018 0.4037

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/4063.tsv"}, "mark": "line", "encoding": {"color": {"value": "#f0027f"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "0-14 years"}, "field": "0-14 years"}}, "title": ["Madagascar : Age structure from 2009 to", "2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The age structure in Madagascar between 0-14 years has a declining trend from 0.45 in 2009 to 0.4 in 2019.

Chart data: Year 0-14 years Dec 31, 2008 0.4385 Dec 31, 2009 0.4352 Dec 31, 2010 0.4321 Dec 31, 2011 0.4283 Dec 31, 2012 0.4243 Dec 31, 2013 0.4202 Dec 31, 2014 0.4164 Dec 31, 2015 0.4129 Dec 31, 2016 0.4097 Dec 31, 2017 0.4067 Dec 31, 2018 0.4037

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/4063.tsv"}, "mark": "line", "encoding": {"color": {"value": "#f0027f"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "0-14 years"}, "field": "0-14 years"}}, "title": ["Madagascar : Age structure from 2009 to", "2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The age structure of Madagascar is declining at a rate of 0.01 years per year.

Chart data: Year 0-14 years Dec 31, 2008 0.4385 Dec 31, 2009 0.4352 Dec 31, 2010 0.4321 Dec 31, 2011 0.4283 Dec 31, 2012 0.4243 Dec 31, 2013 0.4202 Dec 31, 2014 0.4164 Dec 31, 2015 0.4129 Dec 31, 2016 0.4097 Dec 31, 2017 0.4067 Dec 31, 2018 0.4037

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/4063.tsv"}, "mark": "line", "encoding": {"color": {"value": "#f0027f"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "0-14 years"}, "field": "0-14 years"}}, "title": ["Madagascar : Age structure from 2009 to", "2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The Bar Graph indicates that there are no Aboriginal Homicides in the regions of Northwest Territories, Yukon and the Nunavut regions in Canada from the 2019 data. This could indicate that there are no Aboriginal people in these regions, or that there is a very low number of non-Native Canadians who occupy the region.

Chart data: province of Canada Non-Aboriginal Nunavut 0 Saskatchewan 1.34 Manitoba 1.96 Alberta 1.6 Yukon 0 Northwest Territories 0 Ontario 1.51 British Columbia 1.56 Newfoundland and Labrador 0.63 Quebec 0.81 Nova Scotia 0.34 New Brunswick 1.92 Prince Edward Island 1.34

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/4070.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#333333"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "province of Canada"}, "y": {"type": "quantitative", "axis": {"title": "Non-Aboriginal"}, "field": "Non-Aboriginal"}}, "title": ["Rate of homicides in Canada in 2019 , by", "Aboriginal identity and province or territory", "(per 100,000 population)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Homicides were more common for Manitoba and New Brunswick provinces in Canada.

Chart data: province of Canada Non-Aboriginal Nunavut 0 Saskatchewan 1.34 Manitoba 1.96 Alberta 1.6 Yukon 0 Northwest Territories 0 Ontario 1.51 British Columbia 1.56 Newfoundland and Labrador 0.63 Quebec 0.81 Nova Scotia 0.34 New Brunswick 1.92 Prince Edward Island 1.34

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/4070.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#333333"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "province of Canada"}, "y": {"type": "quantitative", "axis": {"title": "Non-Aboriginal"}, "field": "Non-Aboriginal"}}, "title": ["Rate of homicides in Canada in 2019 , by", "Aboriginal identity and province or territory", "(per 100,000 population)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a steady increase in population between 2010 and 2018.  It made a steady increase from 0.4 to slightly over 0.6 during that time frame.

Chart data: Year Immigrants Dec 31, 2009 0.41 Dec 31, 2010 0.43 Dec 31, 2011 0.44 Dec 31, 2012 0.46 Dec 31, 2013 0.48 Dec 31, 2014 0.5 Dec 31, 2015 0.54 Dec 31, 2016 0.57 Dec 31, 2017 0.59 Dec 31, 2018 0.61 Dec 31, 2019 0.61

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/4072.tsv"}, "mark": "area", "encoding": {"color": {"value": "#a99cbc"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Immigrants"}, "field": "Immigrants"}}, "title": ["Population in Denmark from 2010 to 2020", ", by ancestry (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The population has been growing steadily for 10 years.

Chart data: Year Descendants Dec 31, 2009 0.13 Dec 31, 2010 0.13 Dec 31, 2011 0.14 Dec 31, 2012 0.14 Dec 31, 2013 0.15 Dec 31, 2014 0.16 Dec 31, 2015 0.16 Dec 31, 2016 0.17 Dec 31, 2017 0.18 Dec 31, 2018 0.19 Dec 31, 2019 0.19

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/4072.tsv"}, "mark": "line", "encoding": {"color": {"value": "#7fc97f"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Descendants"}, "field": "Descendants"}}, "title": ["Population in Denmark from 2010 to 2020", ", by ancestry (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph has an overall upwards trendThe x axis is measured in intervals of 4 years.

Chart data: Year Female Dec 31, 2007 145.65 Dec 31, 2008 146.25 Dec 31, 2009 146.75 Dec 31, 2010 147.11 Dec 31, 2011 147.36 Dec 31, 2012 147.53 Dec 31, 2013 147.66 Dec 31, 2014 147.78 Dec 31, 2015 147.9 Dec 31, 2016 148.01 Dec 31, 2017 148.12

Vega-Lite specification:
{"config": {"area": {"fill": "#3366CC"}, "rect": {"fill": "#3366CC"}, "bar": {"fill": "#3366CC"}, "point": {"stroke": "#3366CC"}, "circle": {"fill": "#3366CC"}, "background": "#fff", "padding": {"top": 10, "right": 10, "bottom": 10, "left": 10}, "style": {"guide-label": {"font": "Arial, sans-serif", "fontSize": 12}, "guide-title": {"font": "Arial, sans-serif", "fontSize": 12}, "group-title": {"font": "Arial, sans-serif", "fontSize": 12}}, "title": {"font": "Arial, sans-serif", "fontSize": 14, "fontWeight": "bold", "dy": -3, "anchor": "start"}, "axis": {"gridColor": "#ccc", "tickColor": "#ccc", "domain": false, "grid": true}, "range": {"category": ["#4285F4", "#DB4437", "#F4B400", "#0F9D58", "#AB47BC", "#00ACC1", "#FF7043", "#9E9D24", "#5C6BC0", "#F06292", "#00796B", "#C2185B"], "heatmap": ["#c6dafc", "#5e97f6", "#2a56c6"]}}, "data": {"url": "multiColumn/data/4074.tsv"}, "mark": "area", "encoding": {"color": {"value": "#4285F4"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Female"}, "field": "Female"}}, "title": ["Total population of Barbados from 2008 to", "2018 , by gender (in 1,000 inhabitants)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Small, almost imperceptible increase in number of females over around 10 years.

Chart data: Year Female Dec 31, 2007 145.65 Dec 31, 2008 146.25 Dec 31, 2009 146.75 Dec 31, 2010 147.11 Dec 31, 2011 147.36 Dec 31, 2012 147.53 Dec 31, 2013 147.66 Dec 31, 2014 147.78 Dec 31, 2015 147.9 Dec 31, 2016 148.01 Dec 31, 2017 148.12

Vega-Lite specification:
{"config": {"area": {"fill": "#3366CC"}, "rect": {"fill": "#3366CC"}, "bar": {"fill": "#3366CC"}, "point": {"stroke": "#3366CC"}, "circle": {"fill": "#3366CC"}, "background": "#fff", "padding": {"top": 10, "right": 10, "bottom": 10, "left": 10}, "style": {"guide-label": {"font": "Arial, sans-serif", "fontSize": 12}, "guide-title": {"font": "Arial, sans-serif", "fontSize": 12}, "group-title": {"font": "Arial, sans-serif", "fontSize": 12}}, "title": {"font": "Arial, sans-serif", "fontSize": 14, "fontWeight": "bold", "dy": -3, "anchor": "start"}, "axis": {"gridColor": "#ccc", "tickColor": "#ccc", "domain": false, "grid": true}, "range": {"category": ["#4285F4", "#DB4437", "#F4B400", "#0F9D58", "#AB47BC", "#00ACC1", "#FF7043", "#9E9D24", "#5C6BC0", "#F06292", "#00796B", "#C2185B"], "heatmap": ["#c6dafc", "#5e97f6", "#2a56c6"]}}, "data": {"url": "multiColumn/data/4074.tsv"}, "mark": "area", "encoding": {"color": {"value": "#4285F4"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Female"}, "field": "Female"}}, "title": ["Total population of Barbados from 2008 to", "2018 , by gender (in 1,000 inhabitants)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The male population has increased at a fairly constant rate since 2008.

Chart data: Year Male Dec 31, 2007 134.3 Dec 31, 2008 134.85 Dec 31, 2009 135.39 Dec 31, 2010 135.88 Dec 31, 2011 136.34 Dec 31, 2012 136.77 Dec 31, 2013 137.17 Dec 31, 2014 137.55 Dec 31, 2015 137.9 Dec 31, 2016 138.23 Dec 31, 2017 138.53

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": "multiColumn/data/4074.tsv"}, "mark": "area", "encoding": {"color": {"value": "#4c78a8"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Male"}, "field": "Male"}}, "title": ["Total population of Barbados from 2008 to", "2018 , by gender (in 1,000 inhabitants)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The population of Barbados increased between 2008 and 2016.

Chart data: Year Total Dec 31, 2007 279.95 Dec 31, 2008 281.1 Dec 31, 2009 282.13 Dec 31, 2010 282.99 Dec 31, 2011 283.7 Dec 31, 2012 284.3 Dec 31, 2013 284.83 Dec 31, 2014 285.32 Dec 31, 2015 285.8 Dec 31, 2016 286.23 Dec 31, 2017 286.64

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": "multiColumn/data/4074.tsv"}, "mark": "area", "encoding": {"color": {"value": "#6B007B"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Total"}, "field": "Total"}}, "title": ["Total population of Barbados from 2008 to", "2018 , by gender (in 1,000 inhabitants)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The trend is as expected.  From 2004 there was a steady increase which peaked in 2012.  The media was telling everyone that digital music was the future whereas now music lovers are tending to go back to vinyl.  The slight plateau in 2012 is unusual.

Chart data: Year France Dec 31, 2003 0.013 Dec 31, 2004 0.022 Dec 31, 2005 0.063 Dec 31, 2006 0.087 Dec 31, 2007 0.138 Dec 31, 2008 0.139 Dec 31, 2009 0.147 Dec 31, 2010 0.192 Dec 31, 2011 0.232 Dec 31, 2012 0.23 Dec 31, 2013 0.27

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/4079.tsv"}, "mark": "area", "encoding": {"color": {"value": "#fdbf11"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "France"}, "field": "France"}}, "title": ["Digital share of overall music sales in", "selected countries from 2004 to 2014"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Twitter's annual reveune share from advertising services increased rapidly from 2010 to 2012, it has then remained roughly constant.

Chart data: Year Advertising services Dec 31, 2009 0.26 Dec 31, 2010 0.73 Dec 31, 2011 0.85 Dec 31, 2012 0.89 Dec 31, 2013 0.9 Dec 31, 2014 0.9 Dec 31, 2015 0.89 Dec 31, 2016 0.86 Dec 31, 2017 0.86 Dec 31, 2018 0.87

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/4088.tsv"}, "mark": "area", "encoding": {"color": {"value": "#C9C9C9"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Advertising services"}, "field": "Advertising services"}}, "title": ["Distribution of Twitter 's annual revenues", "from 2010 to 2019 , by segment"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The line shows a steady increase in sales between 2010 to 2019, starting at about 1,500,000 in 2010 and rising to just under 2,500,000 per store in 2019, roughly a 1,000,000 increase in sales per average store of Limited Brands worldwide during this time.

Chart data: Year Bath & Body Works* Dec 31, 2009 1468 Dec 31, 2010 1561 Dec 31, 2011 1701 Dec 31, 2012 1714 Dec 31, 2013 1828 Dec 31, 2014 1933 Dec 31, 2015 2010 Dec 31, 2016 2107 Dec 31, 2017 2279 Dec 31, 2018 2428

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/4124.tsv"}, "mark": "area", "encoding": {"color": {"value": "#4572a7"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Bath & Body Works*"}, "field": "Bath & Body Works*"}}, "title": ["Sales per average store of Limited Brands", "worldwide from 2010 to 2019 , by brand (in", "thousand U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: People are still going to go to the grocery store after Covid-19 restrictions are lifted, and as a majority are planning on avoiding theatres, music festivals/concerts, and sporting events.

Chart data: Germany Response 0.49 Cinema / theatre 0.57 Music festivals 0.55 Music concerts 0.53 Sports events 0.49 Pubs / bars / clubs 0.43 Gym / sports centers 0.33 Restaurants / café’s 0.28 Large retail shops / shopping centers 0.32 Museums / galleries 0.23 Shopping downtown / highstreet 0.22 Hairdressers / beauty salons 0.42 Holidays 0.07 Supermarket / grocery shops 0.03 Other 0.21 Not planning to do anything less

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/4127.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#DCDCDC"}, "x": {"type": "quantitative", "axis": {"title": "Germany"}, "field": "Germany"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Response"}}, "title": ["Thinking about once the restrictions are", "lifted , which of the following are you likely", "to try and avoid for the time being , because", "of coronavirus / Covid-19 ? (as of May 31", ", 2020)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: After COVID 19 people were hesitant to return to mass indoor events such as visiting pubs or cinemas as they are in closed spaces.

Chart data: Response United Kingdom Cinema / theatre 0.58 Music festivals 0.59 Music concerts 0.58 Sports events 0.57 Pubs / bars / clubs 0.62 Gym / sports centers 0.52 Restaurants / café’s 0.53 Large retail shops / shopping centers 0.47 Museums / galleries 0.45 Shopping downtown / highstreet 0.36 Hairdressers / beauty salons 0.36 Holidays 0.51 Supermarket / grocery shops 0.2 Other 0.01 Not planning to do anything less 0.14

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/4127.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d365ba"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "United Kingdom"}, "field": "United Kingdom"}}, "title": ["Thinking about once the restrictions are", "lifted , which of the following are you likely", "to try and avoid for the time being , because", "of coronavirus / Covid-19 ? (as of May 31", ", 2020)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The bar chart shows that in the United States, individuals are most likely to avoid cinema/theatre and music festivals, measuring just under 0.6. The least likely event to be avoided is in the category of other, at under 0.05.

Chart data: Response United States Cinema / theatre 0.58 Music festivals 0.58 Music concerts 0.57 Sports events 0.56 Pubs / bars / clubs 0.56 Gym / sports centers 0.5 Restaurants / café’s 0.46 Large retail shops / shopping centers 0.45 Museums / galleries 0.44 Shopping downtown / highstreet 0.37 Hairdressers / beauty salons 0.31 Holidays 0.2 Supermarket / grocery shops 0.15 Other 0.03 Not planning to do anything less 0.16

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/4127.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#666666"}, "x": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "United States"}, "field": "United States"}}, "title": ["Thinking about once the restrictions are", "lifted , which of the following are you likely", "to try and avoid for the time being , because", "of coronavirus / Covid-19 ? (as of May 31", ", 2020)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The chart shows that in the US people are most likely to avoid cinemas, theatres, music concerts and festivals, pubs bars and clubs and also sporting events. All the other categories showed a less than half likelihood that people would avoid them. Visiting supermarkets and doing the grocery shopping is the most likely thing people will not try to avoid doing.

Chart data: Response United States Cinema / theatre 0.58 Music festivals 0.58 Music concerts 0.57 Sports events 0.56 Pubs / bars / clubs 0.56 Gym / sports centers 0.5 Restaurants / café’s 0.46 Large retail shops / shopping centers 0.45 Museums / galleries 0.44 Shopping downtown / highstreet 0.37 Hairdressers / beauty salons 0.31 Holidays 0.2 Supermarket / grocery shops 0.15 Other 0.03 Not planning to do anything less 0.16

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/4127.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#666666"}, "x": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "United States"}, "field": "United States"}}, "title": ["Thinking about once the restrictions are", "lifted , which of the following are you likely", "to try and avoid for the time being , because", "of coronavirus / Covid-19 ? (as of May 31", ", 2020)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Overall, most of the places are being avoided with a score of 0.3 and above. Generally crowded places such as Cinema, music festival, music concert, pubs, and sport events are most likely to be avoided due to Covid. The things least likely to be avoided are holidays, supermarket, no planning to do anything else and other.

Chart data: Response United States Cinema / theatre 0.58 Music festivals 0.58 Music concerts 0.57 Sports events 0.56 Pubs / bars / clubs 0.56 Gym / sports centers 0.5 Restaurants / café’s 0.46 Large retail shops / shopping centers 0.45 Museums / galleries 0.44 Shopping downtown / highstreet 0.37 Hairdressers / beauty salons 0.31 Holidays 0.2 Supermarket / grocery shops 0.15 Other 0.03 Not planning to do anything less 0.16

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/4127.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#666666"}, "x": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "United States"}, "field": "United States"}}, "title": ["Thinking about once the restrictions are", "lifted , which of the following are you likely", "to try and avoid for the time being , because", "of coronavirus / Covid-19 ? (as of May 31", ", 2020)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Major virus outbreaks are rare, and affect proportionally few people when they do arise. The major virus in the last 50 years was H1N1. Only two virus outbreaks in the last 50 years have caused confirmed cases and deaths in the tens of thousands.

Chart data: Virus (year identified) Deaths Marberg (1967) 373 Ebola* (1976) 13562 Hendra (1994) 4 H5N1 Bird Flu (1997) 455 Nipah (1998) 398 SARS (2002) 774 H1N1** (2009) 284500 MERS***(2012) 858 H7N9 Bird Flu (2013) 616 2019-nCoV* (2020) 259

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/412.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#a6761d"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Virus (year identified)"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Deaths"}, "field": "Deaths"}}, "title": ["Confirmed cases and deaths of major virus", "outbreaks worldwide in the last 50 years", "as of 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between 2008-2018 the number of public sector receipts, sat between -5 and -3, hitting their lowest of -4,75 in 2010. Their highest during this 10 year period was 2015 where it hit almost -3. In 2018 it came sharply out of the minus numbers and rose very steeply to +4 in the space of a year.

Chart data: Year Public sector receipts Dec 31, 2007 −4.5 Dec 31, 2008 −4.4 Dec 31, 2009 −4.77 Dec 31, 2010 −4.13 Dec 31, 2011 −4.17 Dec 31, 2012 −4 Dec 31, 2013 −4.58 Dec 31, 2014 −3.88 Dec 31, 2015 −3.49 Dec 31, 2016 −4.08 Dec 31, 2017 −4.27 Dec 31, 2018 5

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/4131.tsv"}, "mark": "area", "encoding": {"color": {"value": "#a6761d"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Public sector receipts"}, "field": "Public sector receipts"}}, "title": ["UK transactions with the European Union", "from 2008 to 2019 (in billion GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The Public sector receipts remain fairly consistent around -4 billion GBP for each year from 2008 to 2018. After 2018, UK transactions drastically increase to around 5 billion GBP.

Chart data: Year Public sector receipts Dec 31, 2007 −4.5 Dec 31, 2008 −4.4 Dec 31, 2009 −4.77 Dec 31, 2010 −4.13 Dec 31, 2011 −4.17 Dec 31, 2012 −4 Dec 31, 2013 −4.58 Dec 31, 2014 −3.88 Dec 31, 2015 −3.49 Dec 31, 2016 −4.08 Dec 31, 2017 −4.27 Dec 31, 2018 5

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/4131.tsv"}, "mark": "area", "encoding": {"color": {"value": "#a6761d"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Public sector receipts"}, "field": "Public sector receipts"}}, "title": ["UK transactions with the European Union", "from 2008 to 2019 (in billion GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The majority of German people visit Egypt in March Fall is the slowest season in regards to German travelers.

Chart data: Month 2013 De  58.74; Month: Dec No  66.11; Month: Nov Oc  39.74; Month: Oct Sep  17.48; Month: Sept Au  51.95; Month: Aug Ju  74.15; Month: Jul Ju  82.66; Month: Jun Ma  87.83; Month: May Ap  98.62; Month: Apr Ma  128.42; Month: Mar Fe  91.48; Month: Feb Ja  88.29; Month: Jan

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/4136.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#e6ab02"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "2013"}, "field": "2013"}}, "title": ["Number of German tourist arrivals in Egypt", "from 2012 to 2017 , by month (in1,000s)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The highest peak in agriculture in Africa was in 2009 and the lowest peak was in 2018.

Chart data: Year Agriculture Dec 31, 2008 0.4588 Dec 31, 2009 0.4145 Dec 31, 2010 0.4125 Dec 31, 2011 0.4433 Dec 31, 2012 0.4124 Dec 31, 2013 0.3852 Dec 31, 2014 0.3606 Dec 31, 2015 0.347 Dec 31, 2016 0.3378 Dec 31, 2017 0.3122 Dec 31, 2018 0.3388

Vega-Lite specification:
{"config": {"area": {"fill": "#3366CC"}, "rect": {"fill": "#3366CC"}, "bar": {"fill": "#3366CC"}, "point": {"stroke": "#3366CC"}, "circle": {"fill": "#3366CC"}, "background": "#fff", "padding": {"top": 10, "right": 10, "bottom": 10, "left": 10}, "style": {"guide-label": {"font": "Arial, sans-serif", "fontSize": 12}, "guide-title": {"font": "Arial, sans-serif", "fontSize": 12}, "group-title": {"font": "Arial, sans-serif", "fontSize": 12}}, "title": {"font": "Arial, sans-serif", "fontSize": 14, "fontWeight": "bold", "dy": -3, "anchor": "start"}, "axis": {"gridColor": "#ccc", "tickColor": "#ccc", "domain": false, "grid": true}, "range": {"category": ["#4285F4", "#DB4437", "#F4B400", "#0F9D58", "#AB47BC", "#00ACC1", "#FF7043", "#9E9D24", "#5C6BC0", "#F06292", "#00796B", "#C2185B"], "heatmap": ["#c6dafc", "#5e97f6", "#2a56c6"]}}, "data": {"url": "multiColumn/data/414.tsv"}, "mark": "area", "encoding": {"color": {"value": "#9E9D24"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Agriculture"}, "field": "Agriculture"}}, "title": ["Ethiopia : 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"}