delen/vistext huggingface dataset:
Chart description: Deaths peak in 2010. there is what can be described as almost a normal distribution  with the peak in 2010.

Chart data: Total* Response 12 2001 70 2002 58 2003 60 2004 131 2005 191 2006 232 2007 295 2008 521 2009 710 2010 563 2011 402 2012 162 2013 75 2014 26 2015 15 2016 17 2017 19 2018 26 2019 9 2020**

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/16.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#3580b1"}, "x": {"type": "quantitative", "axis": {"title": "Total*"}, "field": "Total*"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}}, "title": ["Number of fatalities among Western coalition", "soldiers involved in the execution of Operation", "Enduring Freedom from 2001 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of fatalities among Western Coalition soldiers involved in Operation Enduring Freedom, increased 2001, peaking in 2010. It has since decreased, dropping to 0 again in 2020.

Chart data: Response Other 2001 0 2002 18 2003 10 2004 7 2005 31 2006 54 2007 73 2008 89 2009 96 2010 109 2011 102 2012 48 2013 25 2014 14 2015 2 2016 2 2017 2 2018 5 2019 2 2020** 0

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/16.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#e2ddf2"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Other"}, "field": "Other"}}, "title": ["Number of fatalities among Western coalition", "soldiers involved in the execution of Operation", "Enduring Freedom from 2001 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: North and South America have the highest number of TUI AG employees while the rest of Europe hold the rest.

Chart data: North and Sourth America Rest of Europe 3080 12028 5371 16144 5005 22594 4535 20911 3768 19933 3428 19301 8563 20391 8361 20516 8199 21310 8149 21037

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/1700.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#66a61e"}, "x": {"type": "quantitative", "axis": {"title": "North and Sourth America"}, "field": "North and Sourth America"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Rest of Europe"}}, "title": ["Number of TUI AG employees worldwide from", "2011 to 2020 , by geographical region"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of employees fluctuated over the years between 3000 and just over 8000, notably reaching 8000 in the years 2015, 2016, 2018 and 2019.

Chart data: North and Sourth America Rest of Europe 3080 12028 5371 16144 5005 22594 4535 20911 3768 19933 3428 19301 8563 20391 8361 20516 8199 21310 8149 21037

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/1700.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#66a61e"}, "x": {"type": "quantitative", "axis": {"title": "North and Sourth America"}, "field": "North and Sourth America"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Rest of Europe"}}, "title": ["Number of TUI AG employees worldwide from", "2011 to 2020 , by geographical region"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There were more than 10,000 TUI AG employees in Germany during 2018. Germany had its lowest amount of TUI AG employees during 2012 and 2014. The TUI AG employee numbers in Germany started declining sharply after 2018.

Chart data: Year Germany Dec 31, 2010 9846 Dec 31, 2011 9882 Dec 31, 2012 10157 Dec 31, 2013 9914 Dec 31, 2014 10047 Dec 31, 2015 10132 Dec 31, 2016 10274 Dec 31, 2017 10345 Dec 31, 2018 10419 Dec 31, 2019 8841

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/1700.tsv"}, "mark": "line", "encoding": {"color": {"value": "#8aa453"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Germany"}, "field": "Germany"}}, "title": ["Number of TUI AG employees worldwide from", "2011 to 2020 , by geographical region"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: As the years increase there is a steady amount of employees working for TUI. As the years continue past 2018 the number of employees begins to decrease with time.

Chart data: Year Spain Dec 31, 2010 9392 Dec 31, 2011 9226 Dec 31, 2012 9395 Dec 31, 2013 10556 Dec 31, 2014 9115 Dec 31, 2015 8967 Dec 31, 2016 9607 Dec 31, 2017 9952 Dec 31, 2018 9399 Dec 31, 2019 5564

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/1700.tsv"}, "mark": "line", "encoding": {"color": {"value": "#d2d2d2"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Spain"}, "field": "Spain"}}, "title": ["Number of TUI AG employees worldwide from", "2011 to 2020 , by geographical region"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: the years are in two year increments, the graph shows a steady decline year through year except for 2014 to 2015 where it is rather linear.

Chart data: Year Agriculture Dec 31, 2009 0.1425 Dec 31, 2010 0.1459 Dec 31, 2011 0.1225 Dec 31, 2012 0.1079 Dec 31, 2013 0.0952 Dec 31, 2014 0.0923 Dec 31, 2015 0.076 Dec 31, 2016 0.0698 Dec 31, 2017 0.0624 Dec 31, 2018 0.0596 Dec 31, 2019 0.0575

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/1708.tsv"}, "mark": "line", "encoding": {"color": {"value": "#a99cbc"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Agriculture"}, "field": "Agriculture"}}, "title": ["Croatia : Distribution of employment by", "economic sector from 2010 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Employment in the services sector has gradually increased between 2011 and 2018. There was a small decrease 2010-2011 but this has not been negated.

Chart data: Year Services Dec 31, 2009 0.5829 Dec 31, 2010 0.5746 Dec 31, 2011 0.5984 Dec 31, 2012 0.6159 Dec 31, 2013 0.635 Dec 31, 2014 0.6406 Dec 31, 2015 0.6542 Dec 31, 2016 0.6661 Dec 31, 2017 0.6634 Dec 31, 2018 0.6655 Dec 31, 2019 0.6678

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/1708.tsv"}, "mark": "line", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Services"}, "field": "Services"}}, "title": ["Croatia : Distribution of employment by", "economic sector from 2010 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is almost a bipolar distribution of mask wearing across Europe from many countries with high uptake and many with lower uptake.

Chart data: Survey date Frequently Spain 0.026 Italy 0.051 France 0.089 United Kingdom 0.136 Germany 0.185 Netherlands 0.213 Denmark 0.149 Finland 0.178 Norway 0.102 Sweden 0.034

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/170.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#DB4437"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Survey date"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Frequently"}, "field": "Frequently"}}, "title": ["How often have you worn a face mask outside", "your home to protect yourself or others from", "coronavirus (COVID-19) ? (as of October 18", ", 2020)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Netherlands had the highest mask wearing frequency. Spain had the lowest mask wearing frequency.

Chart data: Survey date Frequently Spain 0.026 Italy 0.051 France 0.089 United Kingdom 0.136 Germany 0.185 Netherlands 0.213 Denmark 0.149 Finland 0.178 Norway 0.102 Sweden 0.034

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/170.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#DB4437"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Survey date"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Frequently"}, "field": "Frequently"}}, "title": ["How often have you worn a face mask outside", "your home to protect yourself or others from", "coronavirus (COVID-19) ? (as of October 18", ", 2020)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The Scandinavian countries (or northenmost Europe) have worn masks far less than the mid-European countries. Of the mid-European countries, the Netherlands is the exception, with much fewer masks worn than the remaining countries.

Chart data: Survey date Always Spain 0.958 Italy 0.922 France 0.844 United Kingdom 0.685 Germany 0.67 Netherlands 0.212 Denmark 0.14 Finland 0.109 Norway 0.087 Sweden 0.043

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/170.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#182429"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Survey date"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Always"}, "field": "Always"}}, "title": ["How often have you worn a face mask outside", "your home to protect yourself or others from", "coronavirus (COVID-19) ? (as of October 18", ", 2020)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is considerable difference between countries how how much a face mask is worn, there are two distinct groups; Denmark, Finland, Netherlands, Norway and Sweden show low use with France, Germany, UK, Italy and Spain showing high use.

Chart data: Survey date Always Spain 0.958 Italy 0.922 France 0.844 United Kingdom 0.685 Germany 0.67 Netherlands 0.212 Denmark 0.14 Finland 0.109 Norway 0.087 Sweden 0.043

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/170.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#182429"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Survey date"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Always"}, "field": "Always"}}, "title": ["How often have you worn a face mask outside", "your home to protect yourself or others from", "coronavirus (COVID-19) ? (as of October 18", ", 2020)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: This bar chart clearly shows that Spain has the highest amount of people that have said that they always wear a mask outside to protect themselves or others.

Chart data: Survey date Always Spain 0.958 Italy 0.922 France 0.844 United Kingdom 0.685 Germany 0.67 Netherlands 0.212 Denmark 0.14 Finland 0.109 Norway 0.087 Sweden 0.043

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/170.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#182429"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Survey date"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Always"}, "field": "Always"}}, "title": ["How often have you worn a face mask outside", "your home to protect yourself or others from", "coronavirus (COVID-19) ? (as of October 18", ", 2020)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The UK has reduced the importation of coal from China between 2008 and 2018 from over 50,000 metric tons to less than 5,000.

Chart data: Year China Dec 31, 2007 51 Dec 31, 2008 14 Dec 31, 2009 17 Dec 31, 2010 51 Dec 31, 2011 13 Dec 31, 2012 33 Dec 31, 2013 29 Dec 31, 2014 23 Dec 31, 2015 11 Dec 31, 2016 10 Dec 31, 2017 4

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/1713.tsv"}, "mark": "line", "encoding": {"color": {"value": "#d95f02"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "China"}, "field": "China"}}, "title": ["Imports of anthracite coal to the United", "Kingdom (UK) between 2008 and 2018 , by country", "(in 1,000 metric tons)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Pattern are tough to see as the months are presented in alphabetical order!  The most rain is in may june and july 2020.

Chart data: Month Long-term average Nov 20 66 Oct 20 56 Sep 20 61 Aug 20 77 Jul 20 78 Jun 20 85 May 20 71 Apr 20 58 Mar 20 57 Feb 20 49 Jan 20 61 Dec 19 70 Nov 19 66

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/1714.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#94aace"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Long-term average"}, "field": "Long-term average"}}, "title": ["Average monthly precipitation in Germany", "from November 2019 to November 2020 (in liters", "per square meter)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: This chart shows that the import value of computers and accessories to the US has remained steady from 2002 to 2019 with only small fluctuations above and below the 60 billion dollar mark during that time. This suggest that the demand for this product is steady and that the supply is also able to keep up. Interestingly these is a big drop towards 2019 in comparison to other years which may suggest a change in focus to USA made computers.

Chart data: Year Computer Accessories Dec 31, 2001 59.01 Dec 31, 2002 56.15 Dec 31, 2003 63.64 Dec 31, 2004 63.74 Dec 31, 2005 67.58 Dec 31, 2006 63.03 Dec 31, 2007 60.21 Dec 31, 2008 53.1 Dec 31, 2009 61.95 Dec 31, 2010 54.8 Dec 31, 2011 56.47 Dec 31, 2012 56.5 Dec 31, 2013 57.98 Dec 31, 2014 56.98 Dec 31, 2015 53.64 Dec 31, 2016 59.5 Dec 31, 2017 64.79 Dec 31, 2018 53.12

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/1715.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ec8431"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Computer Accessories"}, "field": "Computer Accessories"}}, "title": ["Import value of computers and computer accessories", "to the United States from 2002 to 2019 (in", "billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is no clear upward or downward trend. A little under 55 billion U.S dollars is the lowest amount represented on the graph in 2008/2009. The highest amount respresented on the graph is nearly 70 billion U.S dollars in 2006/2007.

Chart data: Year Computer Accessories Dec 31, 2001 59.01 Dec 31, 2002 56.15 Dec 31, 2003 63.64 Dec 31, 2004 63.74 Dec 31, 2005 67.58 Dec 31, 2006 63.03 Dec 31, 2007 60.21 Dec 31, 2008 53.1 Dec 31, 2009 61.95 Dec 31, 2010 54.8 Dec 31, 2011 56.47 Dec 31, 2012 56.5 Dec 31, 2013 57.98 Dec 31, 2014 56.98 Dec 31, 2015 53.64 Dec 31, 2016 59.5 Dec 31, 2017 64.79 Dec 31, 2018 53.12

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/1715.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ec8431"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Computer Accessories"}, "field": "Computer Accessories"}}, "title": ["Import value of computers and computer accessories", "to the United States from 2002 to 2019 (in", "billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is not much change in the numbers overall in the chart. The first three years 2009/10, 2010/11, 2011/12 are the same. The last two years 2017/18 and 2018/19 are the same number and are the same number as the first three years. Not much changes in the numbers in between.

Chart data: Year Basketball 2009/10 17711 2010/11 17767 2011/12 17768 2012/13 17493 2013/14 17754 2014/15 17653 2015/16 17890 2016/17 17934 2017/18 18171 2018/19 18210

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/171.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#386cb0"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Basketball"}, "field": "Basketball"}}, "title": ["Number of U.S. high schools with athletics", "programs for girls from 2009/10 to 2018/19", ", by sport"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Since 2015 the number of highschools with athletic programs for girls has uncreased from 15000 to around 17500.

Chart data: Volleyball Year 15382 2009/10 15479 2010/11 15569 2011/12 15565 2012/13 15672 2013/14 15534 2014/15 15755 2015/16 15992 2016/17 16434 2017/18 16572 2018/19

Vega-Lite specification:
{"config": {"range": {"category": ["#393b79", "#5254a3", "#6b6ecf", "#9c9ede", "#637939", "#8ca252", "#b5cf6b", "#cedb9c", "#8c6d31", "#bd9e39", "#e7ba52", "#e7cb94", "#843c39", "#ad494a", "#d6616b", "#e7969c", "#7b4173", "#a55194", "#ce6dbd", "#de9ed6"]}}, "data": {"url": "multiColumn/data/171.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#7b4173"}, "x": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Volleyball"}, "field": "Volleyball"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}}, "title": ["Number of U.S. high schools with athletics", "programs for girls from 2009/10 to 2018/19", ", by sport"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of U.S. high schools with athletics programs for girls playing softball - Fast Pitch from 2009/10 to 2018/19 has stayed mostly stable.

Chart data: Year Softball - Fast Pitch 2009/10 15298 2010/11 15338 2011/12 14142 2012/13 15067 2013/14 15225 2014/15 15115 2015/16 13304 2016/17 15440 2017/18 15544 2018/19 15877

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/171.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fcbfd2"}, "x": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Softball - Fast Pitch"}, "field": "Softball - Fast Pitch"}}, "title": ["Number of U.S. high schools with athletics", "programs for girls from 2009/10 to 2018/19", ", by sport"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Across the 10 years of 2009 to 2019, there continues to be a high rate of softball - fast pitch, with 5 of the 10 years exceeding 15,000.

Chart data: Year Softball - Fast Pitch 2009/10 15298 2010/11 15338 2011/12 14142 2012/13 15067 2013/14 15225 2014/15 15115 2015/16 13304 2016/17 15440 2017/18 15544 2018/19 15877

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/171.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fcbfd2"}, "x": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Softball - Fast Pitch"}, "field": "Softball - Fast Pitch"}}, "title": ["Number of U.S. high schools with athletics", "programs for girls from 2009/10 to 2018/19", ", by sport"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Every 2 years from 09/10, the number of high schools with athletics programmes for girls is the same.

Chart data: Year Tennis 2009/10 10166 2010/11 10181 2011/12 10058 2012/13 10005 2013/14 10117 2014/15 10099 2015/16 10122 2016/17 10121 2017/18 10289 2018/19 10290

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/171.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ab7fb4"}, "x": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Tennis"}, "field": "Tennis"}}, "title": ["Number of U.S. high schools with athletics", "programs for girls from 2009/10 to 2018/19", ", by sport"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: An increase in national rail revenue over time is seen from 01/02 to 18/19, between 5,000 million GBP to just over 10,000 million GBP. However after 18/19 a small decrease is seen at 19/20, and then a much large depreciation can be seen in 2000/01, dropping back down to around 5,000 million GBP.

Chart data: Year 2019/20 real prices* 19/20 10208 18/19 10437 17/18 10051 16/17 9997 15/16 9987 14/15 9624 13/14 9093 12/13 8708 11/12 8336 10/11 7750 09/10 7358 08/09 7268 07/08 6895 06/07 6387 05/06 5888 04/05 5583 03/04 5386 02/03 5158 01/02 5113 2000/01 4980

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/1722.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ff9e27"}, "x": {"type": "nominal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "2019/20 real prices*"}, "field": "2019/20 real prices*"}}, "title": ["National rail revenue from passenger fares", "in the United Kingdom (UK) from 2000/2001", "to 2019/2020 , in nominal and real prices", "(in million GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The most popular queries on Bing have only one word. This is around three times higher than the least popular queries which have six or seven words. The second most popular queries on Bing have two words which is around half as popular as the one-word queries.

Chart data: Bing search query size 0.0131 Total 0.0287 One word 0.0153 Two words 0.012 Three words 0.0103 Four words 0.01 Five words 0.0087 Six words 0.0087 Seven words 0.0089 Eight words 0.0095 Nine words 0.0106 Ten or more words

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/1724.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f58518"}, "x": {"type": "quantitative", "axis": {"title": "Bing"}, "field": "Bing"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "search query size"}}, "title": ["Global search engine market share as of", "January 2020 , by search query size"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The search query size ranges from one word to ten or more words yet the order of the sizes is jumbled. The most ask query size was one word being over double the height of the next most asked two words query size. The mode ask was 0.0003 as this was assigned to 6 of the query sizes (4,5,6,7,8 and 10 or more). This was also the lowest decimal.

Chart data: search query size Ask Total 0.0004 One word 0.0011 Two words 0.0005 Three words 0.0004 Four words 0.0003 Five words 0.0003 Six words 0.0003 Seven words 0.0003 Eight words 0.0003 Nine words 0.0004 Ten or more words 0.0003

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/1724.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ccebc5"}, "x": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "search query size"}, "y": {"type": "quantitative", "axis": {"title": "Ask"}, "field": "Ask"}}, "title": ["Global search engine market share as of", "January 2020 , by search query size"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The highest of all of these search engine markets is one word.

Chart data: search query size Ask Total 0.0004 One word 0.0011 Two words 0.0005 Three words 0.0004 Four words 0.0003 Five words 0.0003 Six words 0.0003 Seven words 0.0003 Eight words 0.0003 Nine words 0.0004 Ten or more words 0.0003

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/1724.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ccebc5"}, "x": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "search query size"}, "y": {"type": "quantitative", "axis": {"title": "Ask"}, "field": "Ask"}}, "title": ["Global search engine market share as of", "January 2020 , by search query size"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Spiderman scores lowest at about 0.25, and Batman the most at about 1.9.  Batman's score is about twice that of the next highest scorer, the Marvel Cinematic Universe at about 0,95.

Chart data: Average revenue of series Highest grossing film franchises and series 0.98 Marvel Cinematic Universe 0.86 Star Wars 0.84 James Bond 1.94 Batman 0.72 Harry Potter 0.28 Spider-Man 0.5 X-Men 0.43 Avengers 0.66 Jurassic Park 0.84 Star Trek 0.68 Peter Jackson's Lord of the Rings 1 DC Extended Universe 0.69 Indiana Jones 0.9 Superman 0.93 Fast and the Furious 0.59 Shrek 0.71 Rocky 0.55 Pirates of the Caribbean 0.64 Transformers 0.61 Toy Story

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/172.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#c89d29"}, "x": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Average revenue of series"}, "field": "Average revenue of series"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Highest grossing film franchises and series"}}, "title": ["Highest grossing film franchises and series", "worldwide as of November 2020 (in billion", "U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The Balearic Islands were the largest consumers of olive oil in 2019 in Spain,  followed by the Basque Country. The lowest consumer was the La Rioja autonomous region of Spain.

Chart data: Virgin olive oil autonomous community of Spain 0.91 Cantabria 1.12 Basque Country 0.6 Andalusia 0.34 La Rioja 0.67 Community of Madrid 0.88 Navarra 0.76 Castile and Leon 0.9 Catalonia 0.95 Asturias 0.43 Extremadura 0.5 Galicia 0.5 Castile-La Mancha 0.59 Aragon 0.44 Murcia 0.67 Region of Valencia 1.4 Balearic Islands 0.63 Canary Islands

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/1732.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#8aa453"}, "x": {"type": "quantitative", "axis": {"title": "Virgin olive oil"}, "field": "Virgin olive oil"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "autonomous community of Spain"}}, "title": ["Volume of olive oil consumed per capita", "in Spain in 2019 , by autonomous community", "and type (in liters)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The average consumer price  for apparel has a history of increasing and lowering.

Chart data: Year Infants' and toddlers' apparel Dec 31, 2008 114.49 Dec 31, 2009 114.18 Dec 31, 2010 113.57 Dec 31, 2011 119.66 Dec 31, 2012 116.54 Dec 31, 2013 117.55 Dec 31, 2014 119.74 Dec 31, 2015 115.89 Dec 31, 2016 114.92 Dec 31, 2017 120.32

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/1734.tsv"}, "mark": "area", "encoding": {"color": {"value": "#74a9cf"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Infants' and toddlers' apparel"}, "field": "Infants\\' and toddlers\\' apparel"}}, "title": ["Average Consumer Price Index for apparel", "expenditure in the U.S. from 2009 to 2018", ", by segment (CPI-U)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}