delen/vistext huggingface dataset:
Chart description: There is high variability in the data and a negative trend from 2012 to 2020.

Chart data: Month of survey conducted Unfavorable Mar 31, 2010 0.4 Apr 30, 2010 0.44 May 31, 2010 0.41 Jun 30, 2010 0.35 Jul 31, 2010 0.45 Aug 31, 2010 0.4 Sep 30, 2010 0.44 Oct 31, 2010 0.4 Nov 30, 2010 0.41 Dec 31, 2010 0.5 Jan 31, 2011 0.48 Feb 28, 2011 0.46 Mar 31, 2011 0.41 Apr 30, 2011 0.44 May 31, 2011 0.46 Jun 30, 2011 0.43 Jul 31, 2011 0.44 Aug 31, 2011 0.43 Sep 30, 2011 0.51 Oct 31, 2011 0.44 Nov 30, 2011 0.43 Dec 31, 2011 0.44 Jan 31, 2012 0.43 Feb 29, 2012 0.4 Mar 31, 2012 0.43 Apr 30, 2012 0.44 May 31, 2012 0.41 Jun 30, 2012 0.44 Jul 31, 2012 0.43 Aug 31, 2012 0.4 Sep 30, 2012 0.43 Oct 31, 2012 0.39 Sep 30, 2013 0.44 Oct 31, 2013 0.49 Jun 30, 2014 0.53 Nov 30, 2014 0.46 Dec 31, 2014 0.46 Feb 28, 2015 0.43 Apr 30, 2015 0.42 Jul 31, 2015 0.41 Nov 30, 2015 0.46 Mar 31, 2016 0.49 May 31, 2016 0.44 Jul 31, 2016 0.42 Sep 30, 2016 0.45 Nov 30, 2016 0.46 Feb 28, 2017 0.44 Apr 30, 2017 0.42 Jun 30, 2017 0.44 Sep 30, 2017 0.4 Dec 31, 2017 0.42 Feb 28, 2018 0.43 May 31, 2018 0.41 Jul 31, 2018 0.4 Sep 30, 2018 0.42 Dec 31, 2018 0.4 Feb 28, 2019 0.39 May 31, 2019 0.4 Aug 31, 2019 0.41 Oct 31, 2019 0.41 Dec 31, 2019 0.37 Jan 31, 2020 0.37 Mar 31, 2020 0.39 Apr 30, 2020 0.41 Jun 30, 2020 0.36 Aug 31, 2020 0.42

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/4840.tsv"}, "mark": "line", "encoding": {"color": {"value": "#aa4643"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Month of survey conducted"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Unfavorable"}, "field": "Unfavorable"}}, "title": ["Given what you know about the health reform", "law , do you have a generally favorable or", "generally unfavorable opinion of it ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Most scooters were sold in September. The fewest scooters were sold in April. More scooters were sold in June, July and August than in February, April and May. The general trend was a steady increase between April (the lowest) to a peak in September, before falling in October.

Chart data: Scooter Month 661 Oct '20 785 Sep '20 507 Aug '20 634 Jul '20 546 Jun '20 261 May '20 92 Apr '20 354 Mar '20 233 Feb '20 301 Jan '20

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/4843.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#000000"}, "x": {"type": "quantitative", "axis": {"title": "Scooter"}, "field": "Scooter"}, "y": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Month"}}, "title": ["Monthly number of scooters and other mopeds", "sold in the United Kingdom from January through", "October 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: April 2020 was the lowest month for sales with around 100 sales.  September 2020 was the highest months with just under 800.  The next highest month was October at 680 followed by July at 650.  June and August also saw high sales at 650 and 620 respectively. Jan, Feb, Mar and May all had sales between 200 and 400.

Chart data: Scooter Month 661 Oct '20 785 Sep '20 507 Aug '20 634 Jul '20 546 Jun '20 261 May '20 92 Apr '20 354 Mar '20 233 Feb '20 301 Jan '20

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/4843.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#000000"}, "x": {"type": "quantitative", "axis": {"title": "Scooter"}, "field": "Scooter"}, "y": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "Month"}}, "title": ["Monthly number of scooters and other mopeds", "sold in the United Kingdom from January through", "October 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: All countries in the graph have between 22 - 33 paid vacation days allocated. The United Kingdom has the lowest paid vacation days, and Brazil and Russia share the highest.

Chart data: Response Paid vacation days considered fair United States 22 Japan 28 Australia 24 Brazil 33 United Kingdom 28 Spain 32 Germany 30 Italy 31 Russia 33 France 31 World average 29

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/4844.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#b3e2cd"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Paid vacation days considered fair"}, "field": "Paid vacation days considered fair"}}, "title": ["Allotted paid vacation days compared to", "what is considered fair worldwide as of August", "2014 , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: On average 29 was considered a fair number of paid vacation days.  This varied by country.  In Brazil, France, Germany, Italy, Russia and Spain people thought more than 30 days was fair.  The lowest averages were for the US (around 22) and Australia (around 24). The averages varied between around 22 and around 33.

Chart data: Response Paid vacation days considered fair United States 22 Japan 28 Australia 24 Brazil 33 United Kingdom 28 Spain 32 Germany 30 Italy 31 Russia 33 France 31 World average 29

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/4844.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#b3e2cd"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Paid vacation days considered fair"}, "field": "Paid vacation days considered fair"}}, "title": ["Allotted paid vacation days compared to", "what is considered fair worldwide as of August", "2014 , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Most countries displayed on the chart have 28 and 33 paid vacation days per year. The countries with the lowest number of paid vacation days are the United States and Australia. The countries with the highest number of paid vacation days are Brazil and Russia.

Chart data: Response Paid vacation days considered fair United States 22 Japan 28 Australia 24 Brazil 33 United Kingdom 28 Spain 32 Germany 30 Italy 31 Russia 33 France 31 World average 29

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/4844.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#b3e2cd"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Paid vacation days considered fair"}, "field": "Paid vacation days considered fair"}}, "title": ["Allotted paid vacation days compared to", "what is considered fair worldwide as of August", "2014 , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The World average is 24 days. Three countries have lower allotted paid vacation days than this: Australia, Japan, and the United States. Brazil, Spain, and the United Kingdom have the same allotted paid vacation days as the world average. France, Germany, Italy, and Russia have higher than the world average allotted paid vacation days. The United States has the lowest number of allotted paid vacation days (17) and France has the highest (31).

Chart data: Allotted paid vacation days Response 18 United States 19 Japan 22 Australia 24 Brazil 24 United Kingdom 24 Spain 26 Germany 27 Italy 29 Russia 31 France 24 World average

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/4844.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ab7fb4"}, "x": {"type": "quantitative", "axis": {"title": "Allotted paid vacation days"}, "field": "Allotted paid vacation days"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Response"}}, "title": ["Allotted paid vacation days compared to", "what is considered fair worldwide as of August", "2014 , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: France has the highest allocation of paid holidaysThe UK, Spain and Brazil are average, compared to the rest of the world with their allocation of paid holidaysUS has the lowest allocation of paid holidays.

Chart data: Allotted paid vacation days Response 18 United States 19 Japan 22 Australia 24 Brazil 24 United Kingdom 24 Spain 26 Germany 27 Italy 29 Russia 31 France 24 World average

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/4844.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ab7fb4"}, "x": {"type": "quantitative", "axis": {"title": "Allotted paid vacation days"}, "field": "Allotted paid vacation days"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Response"}}, "title": ["Allotted paid vacation days compared to", "what is considered fair worldwide as of August", "2014 , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: France has the highest allotted paid vacation days, while the United States has the least.

Chart data: Allotted paid vacation days Response 18 United States 19 Japan 22 Australia 24 Brazil 24 United Kingdom 24 Spain 26 Germany 27 Italy 29 Russia 31 France 24 World average

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/4844.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ab7fb4"}, "x": {"type": "quantitative", "axis": {"title": "Allotted paid vacation days"}, "field": "Allotted paid vacation days"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Response"}}, "title": ["Allotted paid vacation days compared to", "what is considered fair worldwide as of August", "2014 , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: France, Germany, Italy and Russia all gave above average paid vacation days as of August 2014.

Chart data: Allotted paid vacation days Response 18 United States 19 Japan 22 Australia 24 Brazil 24 United Kingdom 24 Spain 26 Germany 27 Italy 29 Russia 31 France 24 World average

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/4844.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ab7fb4"}, "x": {"type": "quantitative", "axis": {"title": "Allotted paid vacation days"}, "field": "Allotted paid vacation days"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Response"}}, "title": ["Allotted paid vacation days compared to", "what is considered fair worldwide as of August", "2014 , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Retail / Other takes up the most space, while the food industry takes up the least.

Chart data: First half 2014 Race 0.25 3PL / distribution 0.08 Other manufacturing 0.07 Motor industry 0.02 Food industry 0.08 Postal Services 0.15 Retail - Food 0.3 Retail - Other 0.05 Other

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/4845.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#3580b1"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "First half 2014"}, "field": "First half 2014"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Race"}}, "title": ["Distribution of take-up of logistics space", "in the United Kingdom (UK) in the first and", "second halves of 2014 , by sector"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The x-axis measure of Race does not reflect the categories provided.  The title of the graph indicates that data denotes information from both the first and second half of 2014, but only in fact denotes data from the second half of 2014.

Chart data: Race Second half 2014 3PL / distribution 0.27 Other manufacturing 0.04 Construction 0.02 Motor industry 0.15 Food industry 0.06 Postal Services 0.05 Retail - Food 0.07 Retail - Other 0.15 Retail - Online 0.05 Other 0.04

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#3e5c69"}, "line": {"stroke": "#3e5c69"}, "rect": {"fill": "#3e5c69"}, "bar": {"fill": "#3e5c69"}, "point": {"color": "#3e5c69"}, "axis": {"domainWidth": 0.5, "grid": true, "labelPadding": 2, "tickSize": 5, "tickWidth": 0.5, "titleFontWeight": "normal"}, "axisBand": {"grid": false}, "axisX": {"gridWidth": 0.2}, "axisY": {"gridDash": [3], "gridWidth": 0.4}, "legend": {"labelFontSize": 11, "padding": 1, "symbolType": "square"}, "range": {"category": ["#3e5c69", "#6793a6", "#182429", "#0570b0", "#3690c0", "#74a9cf", "#a6bddb", "#e2ddf2"]}}, "data": {"url": "multiColumn/data/4845.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#6793a6"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Race"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Second half 2014"}, "field": "Second half 2014"}}, "title": ["Distribution of take-up of logistics space", "in the United Kingdom (UK) in the first and", "second halves of 2014 , by sector"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Yo be frank, I don't really understand the graph or the numbers on the y axis. What is the 'unit' of services? Possibly .7 population works in services? It's not a very good graph...

Chart data: Year Services Dec 31, 2009 0.7074 Dec 31, 2010 0.7122 Dec 31, 2011 0.7172 Dec 31, 2012 0.715 Dec 31, 2013 0.7193 Dec 31, 2014 0.7056 Dec 31, 2015 0.711 Dec 31, 2016 0.7137 Dec 31, 2017 0.7169 Dec 31, 2018 0.7201 Dec 31, 2019 0.7229

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/485.tsv"}, "mark": "line", "encoding": {"color": {"value": "#00ACC1"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Services"}, "field": "Services"}}, "title": ["South Africa : 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 United States had the most cases of anxiety  disorders in 2018.

Chart data: Country Men United States 30.7 China 15.9 Brazil 14.6 India 13.6 Germany 6.6 United Kingdom 5 Mexico 4.5 France 4.4 Italy 1.4 Russia 2.2 South Africa 2.4 Spain 1.1 Japan 1.4 South Korea 1.1 Australia 1.4 Canada 1.1

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/4865.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#1A1A1A"}, "x": {"type": "nominal", "axis": {"labelAngle": 90}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Men"}, "field": "Men"}}, "title": ["Number of lifetime prevalent cases of anxiety", "disorders among adults in select countries", "worldwide in 2018 , by gender (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: By far, women in the USA have the highest rates of lifetime prevalent cases of anxiety disorders among adults, Brazil and China follow. Canada has the lowest cases.

Chart data: Women Country 45.2 United States 28.6 China 28 Brazil 18.5 India 9.9 Germany 7.2 United Kingdom 6.9 Mexico 6.6 France 4.5 Italy 3.7 Russia 3.5 South Africa 3.4 Spain 3.1 Japan 2.5 South Korea 2.2 Australia 1.4 Canada

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/4865.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d8b5a5"}, "x": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Women"}, "field": "Women"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}}, "title": ["Number of lifetime prevalent cases of anxiety", "disorders among adults in select countries", "worldwide in 2018 , by gender (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The USA has the highest number of prevalent anxiety disorders amongst women in 2018 at approx 45,000,000China and Brazil have the 2nd and 3rd highest number. Canada has the lowest number of prevalent anxiety disorders amongst women in 2018 at approx 1,000,000Of the 16 countries in the list the top 4 are the USA, China, Brazil and India. These combined have more cases than the remaining 12 countries in the list.

Chart data: Women Country 45.2 United States 28.6 China 28 Brazil 18.5 India 9.9 Germany 7.2 United Kingdom 6.9 Mexico 6.6 France 4.5 Italy 3.7 Russia 3.5 South Africa 3.4 Spain 3.1 Japan 2.5 South Korea 2.2 Australia 1.4 Canada

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/4865.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d8b5a5"}, "x": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Women"}, "field": "Women"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}}, "title": ["Number of lifetime prevalent cases of anxiety", "disorders among adults in select countries", "worldwide in 2018 , by gender (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was an increase in Car sales from 2009 and 2015.  Following this there has been a steady decline in sales.

Chart data: Year Domestic* Dec 31, 2007 4491 Dec 31, 2008 3558 Dec 31, 2009 3791 Dec 31, 2010 4146 Dec 31, 2011 5120 Dec 31, 2012 5433 Dec 31, 2013 5610 Dec 31, 2014 5595 Dec 31, 2015 5152 Dec 31, 2016 4608 Dec 31, 2017 4087 Dec 31, 2018 3544

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/4866.tsv"}, "mark": "area", "encoding": {"color": {"value": "#00ACC1"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Domestic*"}, "field": "Domestic*"}}, "title": ["Retail new passenger car sales in the United", "States from 1990 to 2019 (in 1,000 units)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Republican is over 50 more often than not. In 1983 & 1985, the republican measures over 50. In 1987-1993 republican measures under 50. In 1995-2005, republican measures 50 or over. In 2007-2013, republican measures under 50. In 2015 to 2019, republican measures over 50. Republican never measures below 40.

Chart data: Year Republican 116th Congress, 2019 53 115th Congress, 2017 52 114th Congress, 2015 54 113th Congress, 2013 45 112th Congress, 2011 47 111th Congress, 2009 41 110th Congress, 2007 49 109th Congress, 2005 55 108th Congress, 2003 51 107th Congress, 2001 50 106th Congress, 1999 55 105th Congress, 1997 55 104th Congress, 1995 55 103d Congress, 1993 43 102d Congress, 1991 43 101st Congress, 1989 45 100th Congress, 1987 45 99th Congress, 1985 53 98th Congress, 1983 54

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/486.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fed9a6"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Republican"}, "field": "Republican"}}, "title": ["Composition of the U.S. Senate by political", "party affiliation from 1983 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The lowest number of Republican members in US Senate was recorded in 2009 - 40. The highest number of Republican members in US Senate was recorded between 1995 and 1999 - 55. The same number is recorded in 2005 also.

Chart data: Year Republican 116th Congress, 2019 53 115th Congress, 2017 52 114th Congress, 2015 54 113th Congress, 2013 45 112th Congress, 2011 47 111th Congress, 2009 41 110th Congress, 2007 49 109th Congress, 2005 55 108th Congress, 2003 51 107th Congress, 2001 50 106th Congress, 1999 55 105th Congress, 1997 55 104th Congress, 1995 55 103d Congress, 1993 43 102d Congress, 1991 43 101st Congress, 1989 45 100th Congress, 1987 45 99th Congress, 1985 53 98th Congress, 1983 54

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/486.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fed9a6"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Republican"}, "field": "Republican"}}, "title": ["Composition of the U.S. Senate by political", "party affiliation from 1983 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The Hispanic distribution between 2000 and 2019 in the USA has increased year on year from 0.16 in 2000 to 0.25 in 2019. This was not a linear increase however with the rate of increase slowing from 2010 but still on an upward trend.

Chart data: Year Hispanic Dec 31, 1999 0.172 Dec 31, 2000 0.178 Dec 31, 2001 0.183 Dec 31, 2002 0.189 Dec 31, 2003 0.195 Dec 31, 2004 0.201 Dec 31, 2005 0.208 Dec 31, 2006 0.215 Dec 31, 2007 0.221 Dec 31, 2008 0.227 Dec 31, 2009 0.232 Dec 31, 2010 0.235 Dec 31, 2011 0.238 Dec 31, 2012 0.241 Dec 31, 2013 0.244 Dec 31, 2014 0.246 Dec 31, 2015 0.249 Dec 31, 2016 0.252 Dec 31, 2017 0.255 Dec 31, 2018 0.256

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/4871.tsv"}, "mark": "area", "encoding": {"color": {"value": "#154866"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Hispanic"}, "field": "Hispanic"}}, "title": ["Distribution of the child population in", "the U.S. from 2000 to 2019 , by race and", "Hispanic origin"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between the years 2000 and 2015 white has decreased from just above .6 to .5. There has been a steady decrease in white during the period shown.

Chart data: Year White Dec 31, 1999 0.612 Dec 31, 2000 0.604 Dec 31, 2001 0.597 Dec 31, 2002 0.589 Dec 31, 2003 0.582 Dec 31, 2004 0.574 Dec 31, 2005 0.566 Dec 31, 2006 0.558 Dec 31, 2007 0.55 Dec 31, 2008 0.543 Dec 31, 2009 0.537 Dec 31, 2010 0.532 Dec 31, 2011 0.528 Dec 31, 2012 0.524 Dec 31, 2013 0.52 Dec 31, 2014 0.516 Dec 31, 2015 0.511 Dec 31, 2016 0.507 Dec 31, 2017 0.505 Dec 31, 2018 0.502

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/4871.tsv"}, "mark": "area", "encoding": {"color": {"value": "#5C6BC0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "White"}, "field": "White"}}, "title": ["Distribution of the child population in", "the U.S. from 2000 to 2019 , by race and", "Hispanic origin"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph shows that the number of white children in the US has decreased from 2000 to 2019.

Chart data: Year White Dec 31, 1999 0.612 Dec 31, 2000 0.604 Dec 31, 2001 0.597 Dec 31, 2002 0.589 Dec 31, 2003 0.582 Dec 31, 2004 0.574 Dec 31, 2005 0.566 Dec 31, 2006 0.558 Dec 31, 2007 0.55 Dec 31, 2008 0.543 Dec 31, 2009 0.537 Dec 31, 2010 0.532 Dec 31, 2011 0.528 Dec 31, 2012 0.524 Dec 31, 2013 0.52 Dec 31, 2014 0.516 Dec 31, 2015 0.511 Dec 31, 2016 0.507 Dec 31, 2017 0.505 Dec 31, 2018 0.502

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/4871.tsv"}, "mark": "area", "encoding": {"color": {"value": "#5C6BC0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "White"}, "field": "White"}}, "title": ["Distribution of the child population in", "the U.S. from 2000 to 2019 , by race and", "Hispanic origin"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The line diagram shows a steady but significant increase in the population of Hispanic children over a period of nineteen years.

Chart data: Year Asian Dec 31, 1999 0.035 Dec 31, 2000 0.036 Dec 31, 2001 0.037 Dec 31, 2002 0.037 Dec 31, 2003 0.038 Dec 31, 2004 0.039 Dec 31, 2005 0.04 Dec 31, 2006 0.041 Dec 31, 2007 0.042 Dec 31, 2008 0.043 Dec 31, 2009 0.044 Dec 31, 2010 0.045 Dec 31, 2011 0.045 Dec 31, 2012 0.046 Dec 31, 2013 0.047 Dec 31, 2014 0.048 Dec 31, 2015 0.049 Dec 31, 2016 0.05 Dec 31, 2017 0.05 Dec 31, 2018 0.05

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/4871.tsv"}, "mark": "line", "encoding": {"color": {"value": "#7fc97f"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Asian"}, "field": "Asian"}}, "title": ["Distribution of the child population in", "the U.S. from 2000 to 2019 , by race and", "Hispanic origin"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The visualisation shows an increase in the amount of Asian children in the US from 2000 to 2019.

Chart data: Year Asian Dec 31, 1999 0.035 Dec 31, 2000 0.036 Dec 31, 2001 0.037 Dec 31, 2002 0.037 Dec 31, 2003 0.038 Dec 31, 2004 0.039 Dec 31, 2005 0.04 Dec 31, 2006 0.041 Dec 31, 2007 0.042 Dec 31, 2008 0.043 Dec 31, 2009 0.044 Dec 31, 2010 0.045 Dec 31, 2011 0.045 Dec 31, 2012 0.046 Dec 31, 2013 0.047 Dec 31, 2014 0.048 Dec 31, 2015 0.049 Dec 31, 2016 0.05 Dec 31, 2017 0.05 Dec 31, 2018 0.05

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/4871.tsv"}, "mark": "line", "encoding": {"color": {"value": "#7fc97f"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Asian"}, "field": "Asian"}}, "title": ["Distribution of the child population in", "the U.S. from 2000 to 2019 , by race and", "Hispanic origin"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Drama was by far the most popular genre, only 'other' which I assume was a combination of several categories not already listed came close to matching the popularity of Drama. Animation was the least popular genre during the period.

Chart data: Q2 2020 Race 0.157 Drama 0.105 Action & Adventure 0.098 Thriller 0.092 Comedy 0.096 Mystery 0.048 Science-Fiction 0.052 Crime 0.056 Romance 0.046 Fantasy 0.047 Horror 0.032 Family 0.019 Animation 0.153 Other

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/4878.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#C9C9C9"}, "x": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Q2 2020"}, "field": "Q2 2020"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Race"}}, "title": ["Share of playback of over-the-top (OTT)", "services in the United States in the 2nd", "quarter of 2019 and 2020 , by genre"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of hours in a typical week respondents said they use the internet rose steadily between 2006 and 2018. The number of hours in a typical week respondents said they use the internet peaked at 2018 at around 16. The number of hours in a typical week respondents said they use the internet rose from around 6 hours in 2006 to around 16 in 2018.

Chart data: Response At home Dec 31, 2004 6.6 Dec 31, 2006 8.2 Dec 31, 2008 8.4 Dec 31, 2010 10.5 Dec 31, 2011 10.9 Dec 31, 2012 11.2 Dec 31, 2013 12.6 Dec 31, 2014 13.4 Dec 31, 2015 14.8 Dec 31, 2016 14.9 Dec 31, 2017 15.8 Dec 31, 2018 16.2

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/4888.tsv"}, "mark": "area", "encoding": {"color": {"value": "#F4B400"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "At home"}, "field": "At home"}}, "title": ["How many hours in a typical week would you", "say you use the internet ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The amount of companies with Asian /Indian CEO's has increased year after yearCompanies are becoming more inclusive Companies are showing to have employed more Asian/Indian people.

Chart data: Year Asian / Indian Dec 31, 2003 0.12 Dec 31, 2004 0.14 Dec 31, 2005 0.14 Dec 31, 2006 0.15 Dec 31, 2007 0.15 Dec 31, 2008 0.15 Dec 31, 2009 0.16 Dec 31, 2010 0.18 Dec 31, 2011 0.18 Dec 31, 2012 0.18 Dec 31, 2013 0.23 Dec 31, 2014 0.27 Dec 31, 2015 0.28 Dec 31, 2016 0.29 Dec 31, 2017 0.3

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/488.tsv"}, "mark": "area", "encoding": {"color": {"value": "#9E9D24"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Asian / Indian"}, "field": "Asian / Indian"}}, "title": ["Share of companies in the United States", "with racially and ethnically diverse of CEOs", "from 2004 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}