delen/vistext huggingface dataset:
Chart description: Thank you/Thanks was the most used word in Academy Awards acceptance speech when there were large numbers of leading actresses in a role.

Chart data: Word Actress in a Leading Role Thank you/Thanks 205 Academy 20 God 11 Mom/Mother 21 Dad/Father 10 Parent(s) 5 Family(ies) 21 Friend(s) 22 Cast 9 Crew 11 Husband 5 Wife 0

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/5397.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#aa4643"}, "x": {"type": "nominal", "axis": {"labelAngle": -45}, "bin": false, "field": "Word"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Actress in a Leading Role"}, "field": "Actress in a Leading Role"}}, "title": ["Most popular words in Academy Awards acceptance", "speeches for best acting categories between", "1988 and 2013"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Thank you /thanks is the most used word/words used by actresses between 1988 and 2013.

Chart data: Actress in a Supporting Role Word 144 Thank you/Thanks 23 Academy 12 God 6 Mom/Mother 7 Dad/Father 2 Parent(s) 19 Family(ies) 13 Friend(s) 10 Cast 8 Crew 8 Husband 1 Wife

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/5397.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#e7cb94"}, "x": {"type": "quantitative", "axis": {"title": "Actress in a Supporting Role"}, "field": "Actress in a Supporting Role"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Word"}}, "title": ["Most popular words in Academy Awards acceptance", "speeches for best acting categories between", "1988 and 2013"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: This shows which words are most common in Oscars speeches between 1988 and 2013. Expressions of thanks were by far the most common, followed by the words Academy and family.

Chart data: Actress in a Supporting Role Word 144 Thank you/Thanks 23 Academy 12 God 6 Mom/Mother 7 Dad/Father 2 Parent(s) 19 Family(ies) 13 Friend(s) 10 Cast 8 Crew 8 Husband 1 Wife

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/5397.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#e7cb94"}, "x": {"type": "quantitative", "axis": {"title": "Actress in a Supporting Role"}, "field": "Actress in a Supporting Role"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Word"}}, "title": ["Most popular words in Academy Awards acceptance", "speeches for best acting categories between", "1988 and 2013"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a sharp increase in Facebook fans from 2012 through to 2015 and then it steadies over the following years. Facebook fans are slowly decreasing towards 2019 and continuing to slowly fall.

Chart data: Month Facebook fans Jul 31, 2012 1.13 Jan 31, 2013 1.43 Jul 31, 2013 1.49 Jan 31, 2014 1.74 Jul 31, 2014 2.08 Jan 31, 2015 2.34 Jul 31, 2015 2.28 Jan 31, 2016 2.32 Jul 31, 2016 2.34 Jan 31, 2017 2.35 Jul 31, 2017 2.35 Jan 31, 2018 2.35 Jul 31, 2018 2.35 Jan 31, 2019 2.29 Jul 31, 2019 2.27 Jan 31, 2020 2.28 Jul 31, 2020 2.27

Vega-Lite specification:
{"config": {"view": {"fill": "#e5e5e5"}, "area": {"fill": "#000"}, "line": {"stroke": "#000"}, "rect": {"fill": "#000"}, "bar": {"fill": "#000"}, "point": {"color": "#000", "size": 40}, "axis": {"domain": false, "grid": true, "gridColor": "#FFFFFF", "gridOpacity": 1, "labelColor": "#7F7F7F", "labelPadding": 4, "tickColor": "#7F7F7F", "tickSize": 5.67, "titleFontSize": 16, "titleFontWeight": "normal"}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 40}, "range": {"category": ["#000000", "#7F7F7F", "#1A1A1A", "#999999", "#333333", "#B0B0B0", "#4D4D4D", "#C9C9C9", "#666666", "#DCDCDC"]}}, "data": {"url": "multiColumn/data/5398.tsv"}, "mark": "line", "encoding": {"color": {"value": "#B0B0B0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"title": "Facebook fans"}, "field": "Facebook fans"}}, "title": ["Number of Facebook fans/twitter followers", "of the Baltimore Ravens (NFL) from 2012 to", "2020 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of followers rose sharply from 2012 to 2018 and then more slowly afterwards. The year with the highest number of followers was 2020.

Chart data: Month Twitter followers Jul 31, 2012 0.16 Jan 31, 2013 0.26 Jul 31, 2013 0.35 Jan 31, 2014 0.41 Jul 31, 2014 0.44 Jan 31, 2015 0.56 Jul 31, 2015 0.63 Jan 31, 2016 0.73 Jul 31, 2016 0.86 Jan 31, 2017 1.08 Jul 31, 2017 1.22 Jan 31, 2018 1.44 Jul 31, 2018 1.44 Jan 31, 2019 1.45 Jul 31, 2019 1.5 Jan 31, 2020 1.57 Jul 31, 2020 1.5

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/5398.tsv"}, "mark": "area", "encoding": {"color": {"value": "#a6bddb"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Twitter followers"}, "field": "Twitter followers"}}, "title": ["Number of Facebook fans/twitter followers", "of the Baltimore Ravens (NFL) from 2012 to", "2020 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: As time progresses, the baltimore ravens have increased their number of twitter followers. The number of followers plateaued in 2018, but increased in 2020. The number of followers reduced after 2020.

Chart data: Month Twitter followers Jul 31, 2012 0.16 Jan 31, 2013 0.26 Jul 31, 2013 0.35 Jan 31, 2014 0.41 Jul 31, 2014 0.44 Jan 31, 2015 0.56 Jul 31, 2015 0.63 Jan 31, 2016 0.73 Jul 31, 2016 0.86 Jan 31, 2017 1.08 Jul 31, 2017 1.22 Jan 31, 2018 1.44 Jul 31, 2018 1.44 Jan 31, 2019 1.45 Jul 31, 2019 1.5 Jan 31, 2020 1.57 Jul 31, 2020 1.5

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/5398.tsv"}, "mark": "area", "encoding": {"color": {"value": "#a6bddb"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Twitter followers"}, "field": "Twitter followers"}}, "title": ["Number of Facebook fans/twitter followers", "of the Baltimore Ravens (NFL) from 2012 to", "2020 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of Twitter followers increased substantially between 2012 and 2018. There was a smaller overall increase between 2018 and 2020. There was a slight decrease between 2019 and 2020.

Chart data: Month Twitter followers Jul 31, 2012 0.16 Jan 31, 2013 0.26 Jul 31, 2013 0.35 Jan 31, 2014 0.41 Jul 31, 2014 0.44 Jan 31, 2015 0.56 Jul 31, 2015 0.63 Jan 31, 2016 0.73 Jul 31, 2016 0.86 Jan 31, 2017 1.08 Jul 31, 2017 1.22 Jan 31, 2018 1.44 Jul 31, 2018 1.44 Jan 31, 2019 1.45 Jul 31, 2019 1.5 Jan 31, 2020 1.57 Jul 31, 2020 1.5

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/5398.tsv"}, "mark": "area", "encoding": {"color": {"value": "#a6bddb"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Twitter followers"}, "field": "Twitter followers"}}, "title": ["Number of Facebook fans/twitter followers", "of the Baltimore Ravens (NFL) from 2012 to", "2020 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: This chart has very consistent results from start to finish. All results are over 0.15 from 2010 to 2018.

Chart data: Year 0-14 years Dec 31, 2008 0.1757 Dec 31, 2009 0.175 Dec 31, 2010 0.1755 Dec 31, 2011 0.1755 Dec 31, 2012 0.1753 Dec 31, 2013 0.1753 Dec 31, 2014 0.1756 Dec 31, 2015 0.1759 Dec 31, 2016 0.1764 Dec 31, 2017 0.1768 Dec 31, 2018 0.177

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/540.tsv"}, "mark": "area", "encoding": {"color": {"value": "#a6761d"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "0-14 years"}, "field": "0-14 years"}}, "title": ["United Kingdom : Age distribution from 2009", "to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of 15-64 year olds appears  to have very slowly declined since 2010.

Chart data: Year 15-64 years Dec 31, 2008 0.6605 Dec 31, 2009 0.6593 Dec 31, 2010 0.6564 Dec 31, 2011 0.6534 Dec 31, 2012 0.6504 Dec 31, 2013 0.6474 Dec 31, 2014 0.6447 Dec 31, 2015 0.6425 Dec 31, 2016 0.6407 Dec 31, 2017 0.6393 Dec 31, 2018 0.638

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/540.tsv"}, "mark": "area", "encoding": {"color": {"value": "#f0027f"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "15-64 years"}, "field": "15-64 years"}}, "title": ["United Kingdom : Age distribution from 2009", "to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There has been a slight but steady increase in the distribution of UK residents over 65.

Chart data: Year 65 years + Dec 31, 2008 0.1638 Dec 31, 2009 0.1657 Dec 31, 2010 0.1681 Dec 31, 2011 0.1711 Dec 31, 2012 0.1743 Dec 31, 2013 0.1773 Dec 31, 2014 0.1797 Dec 31, 2015 0.1816 Dec 31, 2016 0.1829 Dec 31, 2017 0.184 Dec 31, 2018 0.1851

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/540.tsv"}, "mark": "area", "encoding": {"color": {"value": "#d95f02"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "65 years +"}, "field": "65 years +"}}, "title": ["United Kingdom : Age distribution from 2009", "to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: 2005 had the most cyclones with over 25 that year. 2006 had the lowest. There are at least 5 cyclones per year. The amount seems to vary per year.

Chart data: Year North Atlantic tropical cyclones Dec 31, 1994 19 Dec 31, 1999 15 Dec 31, 2000 15 Dec 31, 2001 12 Dec 31, 2002 21 Dec 31, 2003 16 Dec 31, 2004 27 Dec 31, 2005 9 Dec 31, 2006 17 Dec 31, 2007 17 Dec 31, 2008 11 Dec 31, 2009 21 Dec 31, 2010 20 Dec 31, 2011 18 Dec 31, 2012 15 Dec 31, 2013 9 Dec 31, 2014 12 Dec 31, 2015 16 Dec 31, 2016 19 Dec 31, 2017 16 Dec 31, 2018 18

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/5417.tsv"}, "mark": "line", "encoding": {"color": {"value": "#1696d2"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "North Atlantic tropical cyclones"}, "field": "North Atlantic tropical cyclones"}}, "title": ["Number of tropical cyclones in the U.S.", "from 1995 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The data has been very stable from 2010 to 2018 with no significant changes. It has remained consistently at approximately 0.7.

Chart data: Year 15-64 years Dec 31, 2008 0.7068 Dec 31, 2009 0.7127 Dec 31, 2010 0.7158 Dec 31, 2011 0.7171 Dec 31, 2012 0.7168 Dec 31, 2013 0.7155 Dec 31, 2014 0.7139 Dec 31, 2015 0.7103 Dec 31, 2016 0.7072 Dec 31, 2017 0.7044 Dec 31, 2018 0.7011

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/5428.tsv"}, "mark": "area", "encoding": {"color": {"value": "#7570b3"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "15-64 years"}, "field": "15-64 years"}}, "title": ["Azerbaijan : Age structure from 2009 to", "2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The age structure is pretty much the same for all years.

Chart data: Year 15-64 years Dec 31, 2008 0.7068 Dec 31, 2009 0.7127 Dec 31, 2010 0.7158 Dec 31, 2011 0.7171 Dec 31, 2012 0.7168 Dec 31, 2013 0.7155 Dec 31, 2014 0.7139 Dec 31, 2015 0.7103 Dec 31, 2016 0.7072 Dec 31, 2017 0.7044 Dec 31, 2018 0.7011

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/5428.tsv"}, "mark": "area", "encoding": {"color": {"value": "#7570b3"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "15-64 years"}, "field": "15-64 years"}}, "title": ["Azerbaijan : Age structure from 2009 to", "2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: December had the highest sales where as February had the lowest sales.

Chart data: 2014 Month 178.12 Dec 145.39 Nov 132.96 Oct 133.76 Sep 146.22 Aug 140.4 Jul 119.91 Jun 125.78 May 112.69 Apr 107.88 Mar 91.44 Feb 111.76 Jan

Vega-Lite specification:
{"config": {"background": "#f9f9f9", "area": {"fill": "#ab5787"}, "line": {"stroke": "#ab5787"}, "rect": {"fill": "#ab5787"}, "bar": {"fill": "#ab5787"}, "point": {"fill": "#ab5787", "size": 30}, "axis": {"domainColor": "#979797", "domainWidth": 0.5, "gridWidth": 0.2, "labelColor": "#979797", "tickColor": "#979797", "tickWidth": 0.2, "titleColor": "#979797"}, "axisBand": {"grid": false}, "axisX": {"grid": true, "tickSize": 10}, "axisY": {"domain": false, "grid": true, "tickSize": 0}, "legend": {"labelFontSize": 11, "padding": 1, "symbolSize": 30, "symbolType": "square"}, "range": {"category": ["#ab5787", "#51b2e5", "#703c5c", "#168dd9", "#d190b6", "#00609f", "#d365ba", "#154866", "#666666", "#c4c4c4"]}}, "data": {"url": "multiColumn/data/5429.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#c4c4c4"}, "x": {"type": "quantitative", "axis": {"title": "2014"}, "field": "2014"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Month"}}, "title": ["Monthly sales of bedding , linens and bathroom", "accessories at large retailers in Canada", "from 2014 to 2016 (in million Canadian dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The most spent by UK on defence was in 2010. Consistently there was a spend of over 800 in all years mentioned above.

Chart data: UK Year 929.8 2009 949.8 2010 927.7 2011 846.3 2012 899.2 2013 879.1 2014 847.5 2015 879.6 2016 889.8 2017 908.8 2018*

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/5431.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fdbf11"}, "x": {"type": "quantitative", "axis": {"title": "UK"}, "field": "UK"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Real defense spending per capita by the", "United Kingdom (UK) and other NATO allies", ", from 2009 to 2018 (in U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Real Defence spending by France showed a gradual decrease from 2009 to 2015. It has then increased year on year to 2018 where the spending is nearly 800 dollars.

Chart data: France Year 797.4 2009 786.2 2010 759.3 2011 759.8 2012 755.9 2013 742.8 2014 732.3 2015 742.9 2016 753 2017 779.1 2018*

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/5431.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f2cf5b"}, "x": {"type": "quantitative", "axis": {"labelAngle": -90, "title": "France"}, "field": "France"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Real defense spending per capita by the", "United Kingdom (UK) and other NATO allies", ", from 2009 to 2018 (in U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: From where Frances defence budget started in 2009, there was a slight reduction in budget each year until it  started to pick up again in 2016.

Chart data: France Year 797.4 2009 786.2 2010 759.3 2011 759.8 2012 755.9 2013 742.8 2014 732.3 2015 742.9 2016 753 2017 779.1 2018*

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/5431.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f2cf5b"}, "x": {"type": "quantitative", "axis": {"labelAngle": -90, "title": "France"}, "field": "France"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Real defense spending per capita by the", "United Kingdom (UK) and other NATO allies", ", from 2009 to 2018 (in U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Most people who took this survey don't know how many episodes to watch in one binge.

Chart data: 60 years and older Response 0.09 1 episode 0.2 2 episodes 0.2 3 episodes 0.12 4 episodes 0.06 5 episodes 0.05 6 episodes 0 7 episodes 0.01 8 episodes 0 9 episodes 0.01 10 episodes 0.02 More than 10 episodes 0.24 Don't know

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/5435.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#182429"}, "x": {"type": "quantitative", "axis": {"title": "60 years and older"}, "field": "60 years and older"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Response"}}, "title": ["Preferred number of TV show episodes to", "watch in one binge watching session among", "Generation X and Baby Boomers in the United", "Kingdom (UK) in December 2016"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In 2005 the population peaked in age groups 15-19. The belief is that there will been a steady decline over the following years.

Chart data: Year 15-19 years 2050* 68.26 2045* 70.6 2040* 75.86 2035* 83.38 2030* 86.31 2025* 83.96 2020* 82.34 2015 87.68 2010 99.12 2005 130.92 2000 102.8

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/5436.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bf5b17"}, "x": {"type": "nominal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "15-19 years"}, "field": "15-19 years"}}, "title": ["Population aged between 15 and 29 years", "in China from 2000 to 2050 , by age group", "(in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The distribution of employment in the economic sector in Vietnam has risen in the past 10 years. This rise has been significant at 0.05 points. In the year 2010 it started as 0.22 and after a slight dip in the years 2012-2014, has continue to rise to the current value of 0.27.

Chart data: Year Industry Dec 31, 2009 0.2168 Dec 31, 2010 0.2128 Dec 31, 2011 0.2119 Dec 31, 2012 0.2118 Dec 31, 2013 0.2145 Dec 31, 2014 0.2274 Dec 31, 2015 0.2476 Dec 31, 2016 0.2578 Dec 31, 2017 0.2682 Dec 31, 2018 0.2764 Dec 31, 2019 0.2836

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/543.tsv"}, "mark": "area", "encoding": {"color": {"value": "#AB47BC"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Industry"}, "field": "Industry"}}, "title": ["Vietnam : Distribution of employment by", "economic sector from 2010 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: This graph has a steady upwards trend. The increase per year is not a lot. The lowest point is in 2010  where distribution of employment by economic sector is at 0.3. The highest point is at the end of 2018 where it is at around 0.35. The data does not go down at any point.

Chart data: Year Services Dec 31, 2009 0.2961 Dec 31, 2010 0.3041 Dec 31, 2011 0.3144 Dec 31, 2012 0.32 Dec 31, 2013 0.3222 Dec 31, 2014 0.3324 Dec 31, 2015 0.3337 Dec 31, 2016 0.3407 Dec 31, 2017 0.3458 Dec 31, 2018 0.35 Dec 31, 2019 0.3541

Vega-Lite specification:
{"config": {"view": {"fill": "#e5e5e5"}, "area": {"fill": "#000"}, "line": {"stroke": "#000"}, "rect": {"fill": "#000"}, "bar": {"fill": "#000"}, "point": {"color": "#000", "size": 40}, "axis": {"domain": false, "grid": true, "gridColor": "#FFFFFF", "gridOpacity": 1, "labelColor": "#7F7F7F", "labelPadding": 4, "tickColor": "#7F7F7F", "tickSize": 5.67, "titleFontSize": 16, "titleFontWeight": "normal"}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 40}, "range": {"category": ["#000000", "#7F7F7F", "#1A1A1A", "#999999", "#333333", "#B0B0B0", "#4D4D4D", "#C9C9C9", "#666666", "#DCDCDC"]}}, "data": {"url": "multiColumn/data/543.tsv"}, "mark": "area", "encoding": {"color": {"value": "#B0B0B0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Services"}, "field": "Services"}}, "title": ["Vietnam : Distribution of employment by", "economic sector from 2010 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of fans has risen by about 1 million between 2014 and 2020. There was a slight decrease in fans from 2020. There was an increase of about 0.4 million from 2014-2016, and from 2016-2018. There was little or no change in the number of fans between 2018 and 2019.

Chart data: Month Twitter followers Aug 31, 2012 0.1 Jan 31, 2013 0.14 Aug 31, 2013 0.24 Feb 28, 2014 0.35 Aug 31, 2014 0.46 Feb 28, 2015 0.54 Aug 31, 2015 0.6 Feb 29, 2016 0.68 Aug 31, 2016 0.78 Feb 28, 2017 0.88 Aug 31, 2017 1.01 Feb 28, 2018 1.11 Aug 31, 2018 1.11 Feb 28, 2019 1.11 Aug 31, 2019 1.2 Feb 29, 2020 1.26 Aug 31, 2020 1.2

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/5449.tsv"}, "mark": "area", "encoding": {"color": {"value": "#b96db8"}, "x": {"type": "temporal", "axis": {"labelAngle": 60}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"title": "Twitter followers"}, "field": "Twitter followers"}}, "title": ["Number of Facebook fans/twitter followers", "of the Indiana Pacers (NBA) from 2012 to", "2020 (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: All counties apart from Norway and Malaysia have an equally high commitment to cyber security.

Chart data: Country Legal United Kingdom 0.2 United States 0.2 France 0.2 Lithuania 0.2 Estonia 0.2 Singapore 0.2 Spain 0.2 Malaysia 0.18 Norway 0.19 Canada 0.2 Australia 0.2

Vega-Lite specification:
{"config": {"background": "#f9f9f9", "area": {"fill": "#ab5787"}, "line": {"stroke": "#ab5787"}, "rect": {"fill": "#ab5787"}, "bar": {"fill": "#ab5787"}, "point": {"fill": "#ab5787", "size": 30}, "axis": {"domainColor": "#979797", "domainWidth": 0.5, "gridWidth": 0.2, "labelColor": "#979797", "tickColor": "#979797", "tickWidth": 0.2, "titleColor": "#979797"}, "axisBand": {"grid": false}, "axisX": {"grid": true, "tickSize": 10}, "axisY": {"domain": false, "grid": true, "tickSize": 0}, "legend": {"labelFontSize": 11, "padding": 1, "symbolSize": 30, "symbolType": "square"}, "range": {"category": ["#ab5787", "#51b2e5", "#703c5c", "#168dd9", "#d190b6", "#00609f", "#d365ba", "#154866", "#666666", "#c4c4c4"]}}, "data": {"url": "multiColumn/data/544.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#51b2e5"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Legal"}, "field": "Legal"}}, "title": ["Countries with the highest commitment to", "cyber security based on the Global Cybersecurity", "Index (GCI) in 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The majority of countries shown on the chart share the same high amount of commitment to cyber security. Norway shows the lowest amount of commitment to cyber security.

Chart data: Organizational Country 0.2 United Kingdom 0.2 United States 0.2 France 0.2 Lithuania 0.19 Estonia 0.19 Singapore 0.2 Spain 0.2 Malaysia 0.18 Norway 0.2 Canada 0.2 Australia

Vega-Lite specification:
{"config": {"background": "#f9f9f9", "area": {"fill": "#ab5787"}, "line": {"stroke": "#ab5787"}, "rect": {"fill": "#ab5787"}, "bar": {"fill": "#ab5787"}, "point": {"fill": "#ab5787", "size": 30}, "axis": {"domainColor": "#979797", "domainWidth": 0.5, "gridWidth": 0.2, "labelColor": "#979797", "tickColor": "#979797", "tickWidth": 0.2, "titleColor": "#979797"}, "axisBand": {"grid": false}, "axisX": {"grid": true, "tickSize": 10}, "axisY": {"domain": false, "grid": true, "tickSize": 0}, "legend": {"labelFontSize": 11, "padding": 1, "symbolSize": 30, "symbolType": "square"}, "range": {"category": ["#ab5787", "#51b2e5", "#703c5c", "#168dd9", "#d190b6", "#00609f", "#d365ba", "#154866", "#666666", "#c4c4c4"]}}, "data": {"url": "multiColumn/data/544.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#703c5c"}, "x": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Organizational"}, "field": "Organizational"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Country"}}, "title": ["Countries with the highest commitment to", "cyber security based on the Global Cybersecurity", "Index (GCI) in 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: For standard credit, there is a general upward trend from 2010 to 2019. It increases from 500 to over 650. There is a very small dip between 2014-16.

Chart data: Year Standard Credit Dec 31, 2009 493 Dec 31, 2010 523 Dec 31, 2011 545 Dec 31, 2012 569 Dec 31, 2013 575 Dec 31, 2014 568 Dec 31, 2015 564 Dec 31, 2016 595 Dec 31, 2017 634 Dec 31, 2018 662

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/5453.tsv"}, "mark": "line", "encoding": {"color": {"value": "#7b4173"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Standard Credit"}, "field": "Standard Credit"}}, "title": ["Average annual domestic standard electricity", "bills in the United Kingdom (UK) from 2010", "to 2019 , by payment method (in GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a dip in prices in 2016. Electricity bills have increased in price since 2010-2019.

Chart data: Year Direct debit Dec 31, 2009 453 Dec 31, 2010 483 Dec 31, 2011 503 Dec 31, 2012 527 Dec 31, 2013 529 Dec 31, 2014 516 Dec 31, 2015 505 Dec 31, 2016 533 Dec 31, 2017 574 Dec 31, 2018 603

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/5453.tsv"}, "mark": "area", "encoding": {"color": {"value": "#71598e"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Direct debit"}, "field": "Direct debit"}}, "title": ["Average annual domestic standard electricity", "bills in the United Kingdom (UK) from 2010", "to 2019 , by payment method (in GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: From 2010 to 2018 the average standard electricity bill rose.

Chart data: Year Direct debit Dec 31, 2009 453 Dec 31, 2010 483 Dec 31, 2011 503 Dec 31, 2012 527 Dec 31, 2013 529 Dec 31, 2014 516 Dec 31, 2015 505 Dec 31, 2016 533 Dec 31, 2017 574 Dec 31, 2018 603

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/5453.tsv"}, "mark": "area", "encoding": {"color": {"value": "#71598e"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Direct debit"}, "field": "Direct debit"}}, "title": ["Average annual domestic standard electricity", "bills in the United Kingdom (UK) from 2010", "to 2019 , by payment method (in GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: For people in the UK who use prepayment for their annual electricity bills, the annual expense has increased from 500 GBP in 2010 to 550 GBP in 2019.

Chart data: Year Prepayment Dec 31, 2009 505 Dec 31, 2010 531 Dec 31, 2011 547 Dec 31, 2012 573 Dec 31, 2013 579 Dec 31, 2014 571 Dec 31, 2015 563 Dec 31, 2016 549 Dec 31, 2017 566 Dec 31, 2018 563

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/5453.tsv"}, "mark": "area", "encoding": {"color": {"value": "#cccccc"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Prepayment"}, "field": "Prepayment"}}, "title": ["Average annual domestic standard electricity", "bills in the United Kingdom (UK) from 2010", "to 2019 , by payment method (in GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In the visualisation you can see that average bills increased from 2010 to 2014, dropped slightly until 2017 and then rose again.

Chart data: Year Prepayment Dec 31, 2009 505 Dec 31, 2010 531 Dec 31, 2011 547 Dec 31, 2012 573 Dec 31, 2013 579 Dec 31, 2014 571 Dec 31, 2015 563 Dec 31, 2016 549 Dec 31, 2017 566 Dec 31, 2018 563

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/5453.tsv"}, "mark": "area", "encoding": {"color": {"value": "#cccccc"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Prepayment"}, "field": "Prepayment"}}, "title": ["Average annual domestic standard electricity", "bills in the United Kingdom (UK) from 2010", "to 2019 , by payment method (in GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The population in Sweden by origin remains the same from 2009 to 2019.

Chart data: Year Swedish origin Dec 31, 2008 7.61 Dec 31, 2009 7.62 Dec 31, 2010 7.63 Dec 31, 2011 7.64 Dec 31, 2012 7.64 Dec 31, 2013 7.66 Dec 31, 2014 7.66 Dec 31, 2015 7.67 Dec 31, 2016 7.68 Dec 31, 2017 7.69 Dec 31, 2018 7.69

Vega-Lite specification:
{"config": {"view": {"stroke": "transparent"}, "background": "transparent", "font": "Segoe UI", "header": {"titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleFontSize": 16, "titleColor": "#252423", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C"}, "axis": {"ticks": false, "grid": false, "domain": false, "labelColor": "#605E5C", "labelFontSize": 12, "titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleColor": "#252423", "titleFontSize": 16, "titleFontWeight": "normal"}, "axisQuantitative": {"tickCount": 3, "grid": true, "gridColor": "#C8C6C4", "gridDash": [1, 5], "labelFlush": false}, "axisBand": {"tickExtra": true}, "axisX": {"labelPadding": 5}, "axisY": {"labelPadding": 10}, "bar": {"fill": "#118DFF"}, "line": {"stroke": "#118DFF", "strokeWidth": 3, "strokeCap": "round", "strokeJoin": "round"}, "text": {"font": "Segoe UI", "fontSize": 12, "fill": "#605E5C"}, "area": {"fill": "#118DFF", "line": true, "opacity": 0.6}, "rect": {"fill": "#118DFF"}, "point": {"fill": "#118DFF", "filled": true, "size": 75}, "legend": {"titleFont": "Segoe UI", "titleFontWeight": "bold", "titleColor": "#605E5C", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C", "symbolType": "circle", "symbolSize": 75}, "range": {"category": ["#118DFF", "#12239E", "#E66C37", "#6B007B", "#E044A7", "#744EC2", "#D9B300", "#D64550"], "diverging": ["#DEEFFF", "#118DFF"], "heatmap": ["#DEEFFF", "#118DFF"], "ordinal": ["#DEEFFF", "#c7e4ff", "#b0d9ff", "#9aceff", "#83c3ff", "#6cb9ff", "#55aeff", "#3fa3ff", "#2898ff", "#118DFF"]}}, "data": {"url": "multiColumn/data/5455.tsv"}, "mark": "area", "encoding": {"color": {"value": "#D64550"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Swedish origin"}, "field": "Swedish origin"}}, "title": ["Population in Sweden from 2009 to 2019 ,", "by origin (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: This chart is very poorThe population sees a slight increase in swedish origin in the time frame.

Chart data: Year Swedish origin Dec 31, 2008 7.61 Dec 31, 2009 7.62 Dec 31, 2010 7.63 Dec 31, 2011 7.64 Dec 31, 2012 7.64 Dec 31, 2013 7.66 Dec 31, 2014 7.66 Dec 31, 2015 7.67 Dec 31, 2016 7.68 Dec 31, 2017 7.69 Dec 31, 2018 7.69

Vega-Lite specification:
{"config": {"view": {"stroke": "transparent"}, "background": "transparent", "font": "Segoe UI", "header": {"titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleFontSize": 16, "titleColor": "#252423", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C"}, "axis": {"ticks": false, "grid": false, "domain": false, "labelColor": "#605E5C", "labelFontSize": 12, "titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleColor": "#252423", "titleFontSize": 16, "titleFontWeight": "normal"}, "axisQuantitative": {"tickCount": 3, "grid": true, "gridColor": "#C8C6C4", "gridDash": [1, 5], "labelFlush": false}, "axisBand": {"tickExtra": true}, "axisX": {"labelPadding": 5}, "axisY": {"labelPadding": 10}, "bar": {"fill": "#118DFF"}, "line": {"stroke": "#118DFF", "strokeWidth": 3, "strokeCap": "round", "strokeJoin": "round"}, "text": {"font": "Segoe UI", "fontSize": 12, "fill": "#605E5C"}, "area": {"fill": "#118DFF", "line": true, "opacity": 0.6}, "rect": {"fill": "#118DFF"}, "point": {"fill": "#118DFF", "filled": true, "size": 75}, "legend": {"titleFont": "Segoe UI", "titleFontWeight": "bold", "titleColor": "#605E5C", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C", "symbolType": "circle", "symbolSize": 75}, "range": {"category": ["#118DFF", "#12239E", "#E66C37", "#6B007B", "#E044A7", "#744EC2", "#D9B300", "#D64550"], "diverging": ["#DEEFFF", "#118DFF"], "heatmap": ["#DEEFFF", "#118DFF"], "ordinal": ["#DEEFFF", "#c7e4ff", "#b0d9ff", "#9aceff", "#83c3ff", "#6cb9ff", "#55aeff", "#3fa3ff", "#2898ff", "#118DFF"]}}, "data": {"url": "multiColumn/data/5455.tsv"}, "mark": "area", "encoding": {"color": {"value": "#D64550"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Swedish origin"}, "field": "Swedish origin"}}, "title": ["Population in Sweden from 2009 to 2019 ,", "by origin (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}