delen/vistext huggingface dataset:
Chart description: The median household income in Utah has increased from 1990 to 2019.  In 1990 it was approximately$30,000 and in 2019 approximately $85,000.  The growth rate has not been steady.  there have been times when the median income has decreased for example in the early 1990's and between 2005 and approximately 2007 and from approximately 2008 to around 2011/2012.  There are times when the income has increased slowly over several years such as in the mid 1990's and times it has grown quickly for example from approximately 2016 to 2019.

Chart data: Year Household income in current U.S. dollars Dec 31, 1989 30142 Dec 31, 1990 28016 Dec 31, 1991 34251 Dec 31, 1992 35786 Dec 31, 1993 35716 Dec 31, 1994 36480 Dec 31, 1995 37038 Dec 31, 1996 42775 Dec 31, 1997 44299 Dec 31, 1998 46050 Dec 31, 1999 47550 Dec 31, 2000 47342 Dec 31, 2001 47861 Dec 31, 2002 49275 Dec 31, 2003 50871 Dec 31, 2004 54813 Dec 31, 2005 54628 Dec 31, 2006 53529 Dec 31, 2007 62537 Dec 31, 2008 58491 Dec 31, 2009 56701 Dec 31, 2010 55493 Dec 31, 2011 58341 Dec 31, 2012 62967 Dec 31, 2013 63383 Dec 31, 2014 66258 Dec 31, 2015 67481 Dec 31, 2016 71319 Dec 31, 2017 77067 Dec 31, 2018 84523

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": "data/8768.tsv"}, "mark": "area", "encoding": {"color": {"value": "#adc839"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Household income in current U.S. dollars"}, "field": "Household income in current U\\.S\\. dollars"}}, "title": ["Median household income in Utah from 1990", "to 2019 (in current U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Cardiologist and psychologist are the two highest specialist fields. Ontology has a very low number.

Chart data: Number of physicians Specialty area 107 Psychiatry 82 Surgery 82 Anesthesiologists 127 Emergency medicine 69 Radiology 36 Cardiology 14 Oncology (cancer) 9 Endocrinology, diabetes, & metabolism 309 All other specialities 835 Total specialty

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": "data/8769.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#AB47BC"}, "x": {"type": "quantitative", "axis": {"title": "Number of physicians"}, "field": "Number of physicians"}, "y": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Specialty area"}}, "title": ["Number of active physicians in Alaska in", "2020 , by specialty area"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: the chart shows that there is a standard number schools after a slight increase in 2011.

Chart data: Year Number of primary schools Dec 31, 2008 4660 Dec 31, 2009 4626 Dec 31, 2010 4616 Dec 31, 2011 4909 Dec 31, 2012 4887 Dec 31, 2013 4845 Dec 31, 2014 4845 Dec 31, 2015 4845 Dec 31, 2016 4832 Dec 31, 2017 4834 Dec 31, 2018 4829

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": "data/8773.tsv"}, "mark": "line", "encoding": {"color": {"value": "#56cc60"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of primary schools"}, "field": "Number of primary schools"}}, "title": ["Number of primary schools in Sweden from", "2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of Primary school in Sweden has been steady since 2012. Although there was a slight decline at the start of this period. There was no growth between 2009 and 2011. Between 2012 the number of schools increased.

Chart data: Year Number of primary schools Dec 31, 2008 4660 Dec 31, 2009 4626 Dec 31, 2010 4616 Dec 31, 2011 4909 Dec 31, 2012 4887 Dec 31, 2013 4845 Dec 31, 2014 4845 Dec 31, 2015 4845 Dec 31, 2016 4832 Dec 31, 2017 4834 Dec 31, 2018 4829

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": "data/8773.tsv"}, "mark": "line", "encoding": {"color": {"value": "#56cc60"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of primary schools"}, "field": "Number of primary schools"}}, "title": ["Number of primary schools in Sweden from", "2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph shows that there has not been much change in the number of primary schools in Sweden between 2009 and 2019. The highest number of schools was in 2012 and the lowest number was in 2011.

Chart data: Year Number of primary schools Dec 31, 2008 4660 Dec 31, 2009 4626 Dec 31, 2010 4616 Dec 31, 2011 4909 Dec 31, 2012 4887 Dec 31, 2013 4845 Dec 31, 2014 4845 Dec 31, 2015 4845 Dec 31, 2016 4832 Dec 31, 2017 4834 Dec 31, 2018 4829

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": "data/8773.tsv"}, "mark": "line", "encoding": {"color": {"value": "#56cc60"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of primary schools"}, "field": "Number of primary schools"}}, "title": ["Number of primary schools in Sweden from", "2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In the line chart, as the number of increased space launches occur from year 1990 to 2000 there is an consistent increase in launches from 15 to 35 in ten years, with this being the highest amount of launches in year 2000. There is there an large decrease from 2000 to 2005 of launches from 35 to 18. Then there is no consistent peaks or drop in launches between 2005 and 2015. After 2015 there is the beginning of an rapid increase with launches increasing once again. Launches never dropped below 15 but there is inconsistency in the chart and no set number of launches from 1990 to 2015.

Chart data: Year Commercial space launches Dec 31, 1989 15 Dec 31, 1994 23 Dec 31, 1999 35 Dec 31, 2004 18 Dec 31, 2005 21 Dec 31, 2006 23 Dec 31, 2007 28 Dec 31, 2008 24 Dec 31, 2009 23 Dec 31, 2010 18 Dec 31, 2011 20 Dec 31, 2012 23 Dec 31, 2013 23 Dec 31, 2014 22 Dec 31, 2015 21 Dec 31, 2016 33

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": "data/8777.tsv"}, "mark": "line", "encoding": {"color": {"value": "#B0B0B0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Commercial space launches"}, "field": "Commercial space launches"}}, "title": ["Worldwide commercial space launches from", "1990 to 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The year with the most commercial space launches in the time period depicted is 2000, with 35 launches. The year with the lowest number was 1990, with 15. Between 1990 and 2000 the number of launches gradually increased in From 2005 10 2016 there have been much more fluctuations, with peaks and troughs ranging from  18 to 28.  Between 2016 and 2017 there was a sharp rise from 22 to 33.

Chart data: Year Commercial space launches Dec 31, 1989 15 Dec 31, 1994 23 Dec 31, 1999 35 Dec 31, 2004 18 Dec 31, 2005 21 Dec 31, 2006 23 Dec 31, 2007 28 Dec 31, 2008 24 Dec 31, 2009 23 Dec 31, 2010 18 Dec 31, 2011 20 Dec 31, 2012 23 Dec 31, 2013 23 Dec 31, 2014 22 Dec 31, 2015 21 Dec 31, 2016 33

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": "data/8777.tsv"}, "mark": "line", "encoding": {"color": {"value": "#B0B0B0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Commercial space launches"}, "field": "Commercial space launches"}}, "title": ["Worldwide commercial space launches from", "1990 to 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The chart number decreased in 2014 before skyrocketing back up in 2015.

Chart data: Year Real GDP in billion U.S. dollars Dec 31, 1999 48.52 Dec 31, 2000 49.42 Dec 31, 2001 50.63 Dec 31, 2002 51.73 Dec 31, 2003 53.53 Dec 31, 2004 53.61 Dec 31, 2005 54.27 Dec 31, 2006 54 Dec 31, 2007 53.92 Dec 31, 2008 53.06 Dec 31, 2009 53.78 Dec 31, 2010 53.09 Dec 31, 2011 52.87 Dec 31, 2012 52.51 Dec 31, 2013 53.42 Dec 31, 2014 53.78 Dec 31, 2015 54.97 Dec 31, 2016 56.19 Dec 31, 2017 57.45 Dec 31, 2018 58.53

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": "data/8784.tsv"}, "mark": "line", "encoding": {"color": {"value": "#adc839"}, "x": {"type": "temporal", "axis": {"labelAngle": 90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Real GDP in billion U.S. dollars"}, "field": "Real GDP in billion U\\.S\\. dollars"}}, "title": ["Real Gross Domestic Product (GDP) of the", "federal state of Maine from 2000 to 2019", "(in billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is almost no change in life expectancy over time. Life expectancy is above 80 over the whole x-axis range on the line graph plot (tick for 2018 is missing though). There is a minimal increase in life expectancy between 2008 and 2012, perhaps 1 or 2 years.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 80.7 Dec 31, 2008 81 Dec 31, 2009 81.25 Dec 31, 2010 81.45 Dec 31, 2011 81.65 Dec 31, 2012 81.75 Dec 31, 2013 81.8 Dec 31, 2014 81.9 Dec 31, 2015 81.9 Dec 31, 2016 81.95 Dec 31, 2017 81.95

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": "data/8791.tsv"}, "mark": "line", "encoding": {"color": {"value": "#000000"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Life expectancy at birth in years"}, "field": "Life expectancy at birth in years"}}, "title": ["Canada : Life expectancy at birth from 2008", "to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of people who responded that are using a mobile phone has generally moved upwards over the time period in question.

Chart data: Response Share of respondents Dec 31, 2004 0.82 Dec 31, 2006 0.85 Dec 31, 2008 0.91 Dec 31, 2010 0.92 Dec 31, 2011 0.92 Dec 31, 2012 0.92 Dec 31, 2013 0.89 Dec 31, 2014 0.9 Dec 31, 2015 0.9 Dec 31, 2016 0.94 Dec 31, 2017 0.96 Dec 31, 2018 0.95

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": "data/8794.tsv"}, "mark": "line", "encoding": {"color": {"value": "#0F9D58"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Share of respondents"}, "field": "Share of respondents"}}, "title": ["Do you personally use a mobile phone ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Since 2006 over 80% of people have used a mobile phone, during this period the proportion of people using a phone has continued to rise each year and as of 2018 around 90% of people indicated they use a mobile phone.

Chart data: Response Share of respondents Dec 31, 2004 0.82 Dec 31, 2006 0.85 Dec 31, 2008 0.91 Dec 31, 2010 0.92 Dec 31, 2011 0.92 Dec 31, 2012 0.92 Dec 31, 2013 0.89 Dec 31, 2014 0.9 Dec 31, 2015 0.9 Dec 31, 2016 0.94 Dec 31, 2017 0.96 Dec 31, 2018 0.95

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": "data/8794.tsv"}, "mark": "line", "encoding": {"color": {"value": "#0F9D58"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Share of respondents"}, "field": "Share of respondents"}}, "title": ["Do you personally use a mobile phone ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The share of respondents had always been high but has still increased from  0.8 to almost 1.0.

Chart data: Response Share of respondents Dec 31, 2004 0.82 Dec 31, 2006 0.85 Dec 31, 2008 0.91 Dec 31, 2010 0.92 Dec 31, 2011 0.92 Dec 31, 2012 0.92 Dec 31, 2013 0.89 Dec 31, 2014 0.9 Dec 31, 2015 0.9 Dec 31, 2016 0.94 Dec 31, 2017 0.96 Dec 31, 2018 0.95

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": "data/8794.tsv"}, "mark": "line", "encoding": {"color": {"value": "#0F9D58"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Share of respondents"}, "field": "Share of respondents"}}, "title": ["Do you personally use a mobile phone ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The amount of people that use a mobile phone has increased from 2006 to 2018 showing that more people use there mobile phones than ever before.

Chart data: Response Share of respondents Dec 31, 2004 0.82 Dec 31, 2006 0.85 Dec 31, 2008 0.91 Dec 31, 2010 0.92 Dec 31, 2011 0.92 Dec 31, 2012 0.92 Dec 31, 2013 0.89 Dec 31, 2014 0.9 Dec 31, 2015 0.9 Dec 31, 2016 0.94 Dec 31, 2017 0.96 Dec 31, 2018 0.95

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": "data/8794.tsv"}, "mark": "line", "encoding": {"color": {"value": "#0F9D58"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Share of respondents"}, "field": "Share of respondents"}}, "title": ["Do you personally use a mobile phone ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The French, Italian and Japanese showed the least amount of covid cases.

Chart data: ethnic group Number of patients Singaporean 121 Chinese national 19 Singapore permanent resident 14 Indonesian 5 Bangladeshi 5 Filipino 5 Malaysian 3 Briton 2 Myanmar national 1 Japanese 1 French 1 Italian 1

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": "data/8799.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f2cf5b"}, "x": {"type": "nominal", "axis": {"labelAngle": -90}, "bin": false, "field": "ethnic group"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Number of patients"}, "field": "Number of patients"}}, "title": ["Nationalities breakdown of confirmed cases", "of SARS-CoV-19 infections in Singapore as", "of March 11 , 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: the household  income in Oklahoma in 25 years tripled.

Chart data: Year Household income in current U.S. dollars Dec 31, 1989 24384 Dec 31, 1990 25462 Dec 31, 1991 25284 Dec 31, 1992 26260 Dec 31, 1993 26991 Dec 31, 1994 26311 Dec 31, 1995 27437 Dec 31, 1996 31351 Dec 31, 1997 33727 Dec 31, 1998 32683 Dec 31, 1999 32432 Dec 31, 2000 35609 Dec 31, 2001 36458 Dec 31, 2002 35902 Dec 31, 2003 39614 Dec 31, 2004 37645 Dec 31, 2005 38838 Dec 31, 2006 43216 Dec 31, 2007 46111 Dec 31, 2008 45878 Dec 31, 2009 43103 Dec 31, 2010 48455 Dec 31, 2011 48407 Dec 31, 2012 43777 Dec 31, 2013 47199 Dec 31, 2014 47077 Dec 31, 2015 50943 Dec 31, 2016 55006 Dec 31, 2017 54434 Dec 31, 2018 59397

Vega-Lite specification:
{"config": {"view": {"stroke": "transparent"}, "background": "transparent", "font": "Segoe UI", "header": {"titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleFontSize": 16, "titleColor": "#252423", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C"}, "axis": {"ticks": false, "grid": false, "domain": false, "labelColor": "#605E5C", "labelFontSize": 12, "titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleColor": "#252423", "titleFontSize": 16, "titleFontWeight": "normal"}, "axisQuantitative": {"tickCount": 3, "grid": true, "gridColor": "#C8C6C4", "gridDash": [1, 5], "labelFlush": false}, "axisBand": {"tickExtra": true}, "axisX": {"labelPadding": 5}, "axisY": {"labelPadding": 10}, "bar": {"fill": "#118DFF"}, "line": {"stroke": "#118DFF", "strokeWidth": 3, "strokeCap": "round", "strokeJoin": "round"}, "text": {"font": "Segoe UI", "fontSize": 12, "fill": "#605E5C"}, "area": {"fill": "#118DFF", "line": true, "opacity": 0.6}, "rect": {"fill": "#118DFF"}, "point": {"fill": "#118DFF", "filled": true, "size": 75}, "legend": {"titleFont": "Segoe UI", "titleFontWeight": "bold", "titleColor": "#605E5C", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C", "symbolType": "circle", "symbolSize": 75}, "range": {"category": ["#118DFF", "#12239E", "#E66C37", "#6B007B", "#E044A7", "#744EC2", "#D9B300", "#D64550"], "diverging": ["#DEEFFF", "#118DFF"], "heatmap": ["#DEEFFF", "#118DFF"], "ordinal": ["#DEEFFF", "#c7e4ff", "#b0d9ff", "#9aceff", "#83c3ff", "#6cb9ff", "#55aeff", "#3fa3ff", "#2898ff", "#118DFF"]}}, "data": {"url": "data/8810.tsv"}, "mark": "area", "encoding": {"color": {"value": "#D64550"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Household income in current U.S. dollars"}, "field": "Household income in current U\\.S\\. dollars"}}, "title": ["Median household income in Oklahoma from", "1990 to 2019 (in current U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: A majority of the players had a market value of less than 1 million euros.

Chart data: player name Market value in million euros André Carrillo 6 Raúl Ruidíaz 5 Paolo Hurtado 4 Renato Tapia 4 Paolo Guerrero 3 Christian Cueva 3 Jefferson Farfán 2 Miguel Trauco 1.75 Luis Advíncula 1.5 Pedro Gallese 1 Pedro Aquino 1 Yoshimar Yotún 0.9 Andy Polo 0.9 Christian Ramos 0.8 Carlos Cáceda 0.5 Aldo Corzo 0.5 Anderson Santamaría 0.5 Miguel Araujo 0.5 Nilson Loyola 0.43

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": "data/8814.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#52d2ca"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "player name"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Market value in million euros"}, "field": "Market value in million euros"}}, "title": ["Leading players of the national football", "team of Peru at FIFA World Cup as of June", "2018 , by market value (in million euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Andre Carrillo has the highest market value in euros.

Chart data: player name Market value in million euros André Carrillo 6 Raúl Ruidíaz 5 Paolo Hurtado 4 Renato Tapia 4 Paolo Guerrero 3 Christian Cueva 3 Jefferson Farfán 2 Miguel Trauco 1.75 Luis Advíncula 1.5 Pedro Gallese 1 Pedro Aquino 1 Yoshimar Yotún 0.9 Andy Polo 0.9 Christian Ramos 0.8 Carlos Cáceda 0.5 Aldo Corzo 0.5 Anderson Santamaría 0.5 Miguel Araujo 0.5 Nilson Loyola 0.43

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": "data/8814.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#52d2ca"}, "x": {"type": "nominal", "axis": {"labelAngle": 30}, "bin": false, "field": "player name"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Market value in million euros"}, "field": "Market value in million euros"}}, "title": ["Leading players of the national football", "team of Peru at FIFA World Cup as of June", "2018 , by market value (in million euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Overall the barchart is showing revenue growth over the period displayed. 2017/18 was the highest level of revenue.

Chart data: Year Revenue in million U.S. dollars 2018/19 180 2017/18 194 2016/17 146 2015/16 136 2014/15 132 2013/14 117 2012/13* 83 2011/12 106 2010/11 94 2009/10 82 2008/09 83 2007/08 73 2006/07 66 2005/06 63

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": "data/8816.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#333333"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Revenue in million U.S. dollars"}, "field": "Revenue in million U\\.S\\. dollars"}}, "title": ["Revenue of the Washington Capitals from", "2005/06 to 2018/19 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The community of Madrid had the highest number of deaths by Coronavirus with 12,000 deaths. Ceuta and Millila had the lowest number of deaths by coronavirus in 2021.

Chart data: autonomous community of Spain Number of deaths Community of Madrid 11888 Catalonia 8775 Andalusia 5187 Castile and Leon 5107 Castile-La Mancha 4108 Basque Country 3036 Region of Valencia 3071 Aragon 2659 Galicia 1403 Asturias 1366 Extremadura 1089 Navarre 971 Murcia 759 La Rioja 588 Balearic Islands 480 Canary Islands 439 Cantabria 401 Ceuta 59 Melilla 44

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": "data/881.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ab5787"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "autonomous community of Spain"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Number of deaths"}, "field": "Number of deaths"}}, "title": ["Number of deaths related to coronavirus", "(COVID-19) in Spain as of January 5 , 2021", ", by autonomous community"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: This bar chart showcases that YouTube was the most popular streaming site in the United States on mobile in July 2018. With over 60 million mobile only users of YouTube.

Chart data: Platform Number of users in millions YouTube 69 Netflix 38.4 Amazon Prime Video* 20.7 Hulu 19.3 Redbox 13.1 Vimeo 12 dailymotion 9.9 Ora.TV 9.8 Twitch 5.8 Spectrum TV 4.7

Vega-Lite specification:
{"config": {"view": {"stroke": "transparent"}, "background": "transparent", "font": "Segoe UI", "header": {"titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleFontSize": 16, "titleColor": "#252423", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C"}, "axis": {"ticks": false, "grid": false, "domain": false, "labelColor": "#605E5C", "labelFontSize": 12, "titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleColor": "#252423", "titleFontSize": 16, "titleFontWeight": "normal"}, "axisQuantitative": {"tickCount": 3, "grid": true, "gridColor": "#C8C6C4", "gridDash": [1, 5], "labelFlush": false}, "axisBand": {"tickExtra": true}, "axisX": {"labelPadding": 5}, "axisY": {"labelPadding": 10}, "bar": {"fill": "#118DFF"}, "line": {"stroke": "#118DFF", "strokeWidth": 3, "strokeCap": "round", "strokeJoin": "round"}, "text": {"font": "Segoe UI", "fontSize": 12, "fill": "#605E5C"}, "area": {"fill": "#118DFF", "line": true, "opacity": 0.6}, "rect": {"fill": "#118DFF"}, "point": {"fill": "#118DFF", "filled": true, "size": 75}, "legend": {"titleFont": "Segoe UI", "titleFontWeight": "bold", "titleColor": "#605E5C", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C", "symbolType": "circle", "symbolSize": 75}, "range": {"category": ["#118DFF", "#12239E", "#E66C37", "#6B007B", "#E044A7", "#744EC2", "#D9B300", "#D64550"], "diverging": ["#DEEFFF", "#118DFF"], "heatmap": ["#DEEFFF", "#118DFF"], "ordinal": ["#DEEFFF", "#c7e4ff", "#b0d9ff", "#9aceff", "#83c3ff", "#6cb9ff", "#55aeff", "#3fa3ff", "#2898ff", "#118DFF"]}}, "data": {"url": "data/8821.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#118DFF"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Platform"}, "y": {"type": "quantitative", "axis": {"title": "Number of users in millions"}, "field": "Number of users in millions"}}, "title": ["Most popular video streaming services in", "the United States as of July 2018 , by mobile", "only users (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: From 2008 to 2028, the volume of bananas sold in the uk has decreased from 850 million to approximately 800 million. There has been a slight increase from 2024.

Chart data: Year Sales volume in thousand tonnes 2018* 819.3 2017* 810.4 2016* 802.3 2015 * 796 2014 * 792.8 2013 794.4 2012 800 2011 807.3 2010 816.2 2009 828.7 2008 863.2

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": "data/8828.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#9ecae9"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Sales volume in thousand tonnes"}, "field": "Sales volume in thousand tonnes"}}, "title": ["Annual volume of bananas sold in the United", "Kingdom (UK) from 2008 to 2018 (in 1,000", "tonnes)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: This bar chart shows that banana sales slightly dipped but then increased again over ten years.

Chart data: Year Sales volume in thousand tonnes 2018* 819.3 2017* 810.4 2016* 802.3 2015 * 796 2014 * 792.8 2013 794.4 2012 800 2011 807.3 2010 816.2 2009 828.7 2008 863.2

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": "data/8828.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#9ecae9"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Sales volume in thousand tonnes"}, "field": "Sales volume in thousand tonnes"}}, "title": ["Annual volume of bananas sold in the United", "Kingdom (UK) from 2008 to 2018 (in 1,000", "tonnes)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: month on month there is very little change in the consumer price index.

Chart data: Month Chained consumer Price Index (1999=100) Nov '20 145.82 Oct '20 145.93 Sep '20 145.88 Aug '20 145.67 Jul '20 145.22 Jun '20 144.47 May '20 143.62 Apr '20 143.66 Mar '20 144.82 Feb '20 145.2 Jan '20 144.81 Dec '19 144.25 Nov '19 144.52

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": "data/8831.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#182429"}, "x": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Chained consumer Price Index (1999=100)"}, "field": "Chained consumer Price Index (1999=100)"}}, "title": ["Monthly chained Consumer Price Index (C-CPI-U)", "of all urban consumers in the United States", "from November 2019 to November 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Takeda Pharma recorded the highest net income of companies in Denmark in 2020.

Chart data: Turnover in million DKK city and country 84741 Takeda Pharma A/S 47615 Novo Nordisk A/S 44552 Højbjerg Maskinfabrik A/S 28469 Ørsted Wind Power A/S 26288 Danske Bank A/S 23722 Ball A/S 10510 Lego A/S 10136 A.P Møller og Hustru Chastine Mc-Kinney Møllers Fond Til Almene Formaal 9223 Lego System A/S 6582 Pandora A/S 5289 Lundbeck A/S 3797 Coloplast A/S 3011 Augustinus Fonden 2751 Chr. Augustinus Fabrikker Aktieselskab 2261 Sund og Bælt Holding A/S 2176 ISS World Services A/S 2175 Bestseller A/S 2149 Jysk Holding A/S 2144 Siemens Gamesa Renewable Energy A/S 2134 Danfoss Power Solutions Holding ApS

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": "data/8832.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ad494a"}, "x": {"type": "quantitative", "axis": {"title": "Turnover in million DKK"}, "field": "Turnover in million DKK"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "city and country"}}, "title": ["Largest companies in Denmark as of August", "2020 , ranked by net profit (in million DKK)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Novartis have consistently achieved incomes in excess of 5 billion dollars each year from 2007 - 2019The most successful and exceptional year was 2015 when they achieved 20 billion in US dollars. The following year, profits dropped dramatically to around 7 billion when they began to rise again. There was steady growth of annual profits from around 6 billion to 10 billion dollars from 2007 to 2010 when it dropped to around 9 billion until 2014.

Chart data: Net income in billion U.S. dollars Year 11.7 2019* 12.6 2018 7.7 2017 6.7 2016 17.8 2015 10.3 2014 9.3 2013 9.4 2012 9.1 2011 10 2010 8.5 2009 8.2 2008 6.5 2007

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": "data/8836.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bd9e39"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Net income in billion U.S. dollars"}, "field": "Net income in billion U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Novartis AG 's net income from 2007 to 2019", "(in billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Novartis AG’s most profitable year was 2015, with an over 15 billion dollar net income. Novartis AG’s net income only exceeded 10 billion dollars four times between 2007 and 2019. Novartis AG’s least profitable years were 2007 and 2016.

Chart data: Net income in billion U.S. dollars Year 11.7 2019* 12.6 2018 7.7 2017 6.7 2016 17.8 2015 10.3 2014 9.3 2013 9.4 2012 9.1 2011 10 2010 8.5 2009 8.2 2008 6.5 2007

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": "data/8836.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bd9e39"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Net income in billion U.S. dollars"}, "field": "Net income in billion U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Novartis AG 's net income from 2007 to 2019", "(in billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Novartis AG had their best net income yet in the year 2015 according to the bar chart.

Chart data: Net income in billion U.S. dollars Year 11.7 2019* 12.6 2018 7.7 2017 6.7 2016 17.8 2015 10.3 2014 9.3 2013 9.4 2012 9.1 2011 10 2010 8.5 2009 8.2 2008 6.5 2007

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": "data/8836.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bd9e39"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Net income in billion U.S. dollars"}, "field": "Net income in billion U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Novartis AG 's net income from 2007 to 2019", "(in billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}