delen/vistext huggingface dataset:
Chart description: Arsenal had year on year growth from 2011 to 2018, growing from $300mn to $1100mn over the 7 years, almost growing 4 fold. After 2018 dollar worth started dropping off and has now fallen ~25% by 2020 to $800mn.

Chart data: Year Arsenal Dec 31, 2010 301 Dec 31, 2011 388 Dec 31, 2012 410 Dec 31, 2013 505 Dec 31, 2014 703 Dec 31, 2015 858 Dec 31, 2016 941 Dec 31, 2017 1083 Dec 31, 2018 993 Dec 31, 2019 796

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/251.tsv"}, "mark": "area", "encoding": {"color": {"value": "#9c9ede"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Arsenal"}, "field": "Arsenal"}}, "title": ["Barclays Premier League team brand values", "2011 to 2020 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Barclays Premier League team brand valuation starts at roughly 150 million dollars in 2011. After an initial increase to ca. 250 million, the value decreases to almost 200 million in 2013. After 2013, the brand sees a constant increase in value, reaching roughly 425 millions in 2016. In 2019, the brand value has doubled to reach 850 US million dollars.

Chart data: Year Tottenham Hotspur Dec 31, 2010 127 Dec 31, 2011 255 Dec 31, 2012 219 Dec 31, 2013 248 Dec 31, 2014 360 Dec 31, 2015 441 Dec 31, 2016 696 Dec 31, 2017 764 Dec 31, 2018 850 Dec 31, 2019 868

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/251.tsv"}, "mark": "line", "encoding": {"color": {"value": "#E66C37"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Tottenham Hotspur"}, "field": "Tottenham Hotspur"}}, "title": ["Barclays Premier League team brand values", "2011 to 2020 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: A drop in Agricultural GDP of 0.06 ~between the time period of 2009 and 2019.

Chart data: Year Agriculture Dec 31, 2008 0.0148 Dec 31, 2009 0.0146 Dec 31, 2010 0.0137 Dec 31, 2011 0.0133 Dec 31, 2012 0.0119 Dec 31, 2013 0.0114 Dec 31, 2014 0.0108 Dec 31, 2015 0.0122 Dec 31, 2016 0.0079 Dec 31, 2017 0.0088 Dec 31, 2018 0.008

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/2524.tsv"}, "mark": "line", "encoding": {"color": {"value": "#a6761d"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Agriculture"}, "field": "Agriculture"}}, "title": ["Malta : Share of economic sectors in gross", "domestic product (GDP) from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Industry has dropped gradually from 2010 to 2015 but hasnt increased or decreased since then. It has not been below 0.1.

Chart data: Year Industry Dec 31, 2008 0.1768 Dec 31, 2009 0.1764 Dec 31, 2010 0.1683 Dec 31, 2011 0.1527 Dec 31, 2012 0.1493 Dec 31, 2013 0.1361 Dec 31, 2014 0.1236 Dec 31, 2015 0.1209 Dec 31, 2016 0.1205 Dec 31, 2017 0.1215 Dec 31, 2018 0.1211

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/2524.tsv"}, "mark": "line", "encoding": {"color": {"value": "#d190b6"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Industry"}, "field": "Industry"}}, "title": ["Malta : Share of economic sectors in gross", "domestic product (GDP) from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The share remained constant in 2009 at approximately 0.17, but fell between 2010 and 2015 to a value of 0.125. The decline was constant apart from 2012-13, where decline was small. Between 2016 and 2019, the value remained constant at approximately 0.12.

Chart data: Year Industry Dec 31, 2008 0.1768 Dec 31, 2009 0.1764 Dec 31, 2010 0.1683 Dec 31, 2011 0.1527 Dec 31, 2012 0.1493 Dec 31, 2013 0.1361 Dec 31, 2014 0.1236 Dec 31, 2015 0.1209 Dec 31, 2016 0.1205 Dec 31, 2017 0.1215 Dec 31, 2018 0.1211

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/2524.tsv"}, "mark": "line", "encoding": {"color": {"value": "#d190b6"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Industry"}, "field": "Industry"}}, "title": ["Malta : Share of economic sectors in gross", "domestic product (GDP) from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The services sector has shown an overall trend toward growth over the period shown.

Chart data: Year Services Dec 31, 2008 0.681 Dec 31, 2009 0.6865 Dec 31, 2010 0.689 Dec 31, 2011 0.7102 Dec 31, 2012 0.7176 Dec 31, 2013 0.7307 Dec 31, 2014 0.7505 Dec 31, 2015 0.7522 Dec 31, 2016 0.7557 Dec 31, 2017 0.7509 Dec 31, 2018 0.7579

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/2524.tsv"}, "mark": "area", "encoding": {"color": {"value": "#fbb4ae"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Services"}, "field": "Services"}}, "title": ["Malta : Share of economic sectors in gross", "domestic product (GDP) from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: I do not understand what data is represented in this chart, however, it appears there has been a decrease in age structure from 2000 to 2019.

Chart data: Year 0-14 years Dec 31, 2008 0.1517 Dec 31, 2009 0.1497 Dec 31, 2010 0.148 Dec 31, 2011 0.1462 Dec 31, 2012 0.1444 Dec 31, 2013 0.1426 Dec 31, 2014 0.1409 Dec 31, 2015 0.1388 Dec 31, 2016 0.1367 Dec 31, 2017 0.1346 Dec 31, 2018 0.1325

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/2527.tsv"}, "mark": "area", "encoding": {"color": {"value": "#e5ae38"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "0-14 years"}, "field": "0-14 years"}}, "title": ["Portugal : Age structure from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There has been a decrease in the population of 15-64-year-olds from 2010-2018.

Chart data: Year 15-64 years Dec 31, 2008 0.6654 Dec 31, 2009 0.6637 Dec 31, 2010 0.6616 Dec 31, 2011 0.6593 Dec 31, 2012 0.6568 Dec 31, 2013 0.6542 Dec 31, 2014 0.6515 Dec 31, 2015 0.6496 Dec 31, 2016 0.6478 Dec 31, 2017 0.6459 Dec 31, 2018 0.6439

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/2527.tsv"}, "mark": "area", "encoding": {"color": {"value": "#74a9cf"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "15-64 years"}, "field": "15-64 years"}}, "title": ["Portugal : Age structure from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Population of 15-64 year olds in Portugal had slightly decreased from 2009 to 2019, but still kept a scale over 0.6 of the entire population.

Chart data: Year 15-64 years Dec 31, 2008 0.6654 Dec 31, 2009 0.6637 Dec 31, 2010 0.6616 Dec 31, 2011 0.6593 Dec 31, 2012 0.6568 Dec 31, 2013 0.6542 Dec 31, 2014 0.6515 Dec 31, 2015 0.6496 Dec 31, 2016 0.6478 Dec 31, 2017 0.6459 Dec 31, 2018 0.6439

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/2527.tsv"}, "mark": "area", "encoding": {"color": {"value": "#74a9cf"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "15-64 years"}, "field": "15-64 years"}}, "title": ["Portugal : Age structure from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The annual income has steadily increased from 2006 to 2016. It increased from 15000 in 2006 to just under 20000 in 2016.

Chart data: Response Flemish Region Dec 31, 2005 14984 Dec 31, 2006 15550 Dec 31, 2007 16199 Dec 31, 2008 16505 Dec 31, 2009 16599 Dec 31, 2010 17146 Dec 31, 2011 17765 Dec 31, 2012 18163 Dec 31, 2013 18949 Dec 31, 2014 18970 Dec 31, 2015 19102 Dec 31, 2016 19636

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/2528.tsv"}, "mark": "line", "encoding": {"color": {"value": "#de9ed6"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Flemish Region"}, "field": "Flemish Region"}}, "title": ["Average annual income in Belgium from 2006", "to 2017 , by region (in euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Based on the graph the walloon region experienced a gradual increase of income in the given time period. The income increase is of around €5,000 during this period. The vertical axis shows increase from between €10,000 and €15,000 to above €15,000.

Chart data: Response Walloon Region Dec 31, 2005 13255 Dec 31, 2006 13716 Dec 31, 2007 14377 Dec 31, 2008 14688 Dec 31, 2009 14763 Dec 31, 2010 15277 Dec 31, 2011 15736 Dec 31, 2012 16104 Dec 31, 2013 16671 Dec 31, 2014 16684 Dec 31, 2015 16787 Dec 31, 2016 17281

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/2528.tsv"}, "mark": "line", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Walloon Region"}, "field": "Walloon Region"}}, "title": ["Average annual income in Belgium from 2006", "to 2017 , by region (in euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Average annual income has risen steadily in the 10 yrs the chart covers. The sharpest rise apears to be 2014. Between 2014 and 2016, the wage rise seems to level off.

Chart data: Response Walloon Region Dec 31, 2005 13255 Dec 31, 2006 13716 Dec 31, 2007 14377 Dec 31, 2008 14688 Dec 31, 2009 14763 Dec 31, 2010 15277 Dec 31, 2011 15736 Dec 31, 2012 16104 Dec 31, 2013 16671 Dec 31, 2014 16684 Dec 31, 2015 16787 Dec 31, 2016 17281

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/2528.tsv"}, "mark": "line", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Walloon Region"}, "field": "Walloon Region"}}, "title": ["Average annual income in Belgium from 2006", "to 2017 , by region (in euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph shows that the auto companies were the most cost effective whereas education is the opposite.

Chart data: Google Display Network (GDN) industries 70.69 Advocacy 23.68 Auto 130.36 B2B 60.48 Consumer Services 60.23 Dating & Personals 65.8 E-commerce 143.36 Education 59.47 Employment Services 56.76 Finance & Insurance 72.58 Health & Medical 116.17 Home Goods 51.58 Industrial Services 39.52 Legal 74.79 Real Estate 103.6 Technology 99.13 Travel & Hospitality

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/2535.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ec008b"}, "x": {"type": "quantitative", "axis": {"title": "Google Display Network (GDN)"}, "field": "Google Display Network (GDN)"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "industries"}}, "title": ["Average cost-per-action (CPA) in Google", "AdWords in selected industries in the United", "States between August 2017 and January 2018", "(in U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is most CPA with home goods education and B to B.

Chart data: Google Display Network (GDN) industries 70.69 Advocacy 23.68 Auto 130.36 B2B 60.48 Consumer Services 60.23 Dating & Personals 65.8 E-commerce 143.36 Education 59.47 Employment Services 56.76 Finance & Insurance 72.58 Health & Medical 116.17 Home Goods 51.58 Industrial Services 39.52 Legal 74.79 Real Estate 103.6 Technology 99.13 Travel & Hospitality

Vega-Lite specification:
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Chart description: Since 2011 the agriculture sector has been in recession, reaching its lowest value in 2019. Losing it’s important within the country since then.

Chart data: Year Agriculture Dec 31, 2008 0.0922 Dec 31, 2009 0.1009 Dec 31, 2010 0.1145 Dec 31, 2011 0.0979 Dec 31, 2012 0.0911 Dec 31, 2013 0.0887 Dec 31, 2014 0.0829 Dec 31, 2015 0.0846 Dec 31, 2016 0.0861 Dec 31, 2017 0.0754 Dec 31, 2018 0.0728

Vega-Lite specification:
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Chart description: There is an upward trend in the GDP from 2009 to 2011, with the peak being just below 0.12. From then there is a downward trend until 2019, with the lowest point being just below 0.8.  There was a small peak in 2017 but the overall trend is downwards.

Chart data: Year Agriculture Dec 31, 2008 0.0922 Dec 31, 2009 0.1009 Dec 31, 2010 0.1145 Dec 31, 2011 0.0979 Dec 31, 2012 0.0911 Dec 31, 2013 0.0887 Dec 31, 2014 0.0829 Dec 31, 2015 0.0846 Dec 31, 2016 0.0861 Dec 31, 2017 0.0754 Dec 31, 2018 0.0728

Vega-Lite specification:
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Chart description: Industry between 2009-2019 were consistently between 0.3-0.4. 2019 was the peak of industry and 2016/2019 was when it was at its lowest point. From 2009-2019 there has been a slight decline in industry throughout the years. 2009-2014 showed a decent amount of consistency.

Chart data: Year Industry Dec 31, 2008 0.4097 Dec 31, 2009 0.405 Dec 31, 2010 0.3982 Dec 31, 2011 0.4014 Dec 31, 2012 0.3989 Dec 31, 2013 0.3992 Dec 31, 2014 0.3845 Dec 31, 2015 0.3768 Dec 31, 2016 0.3813 Dec 31, 2017 0.383 Dec 31, 2018 0.3742

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/253.tsv"}, "mark": "area", "encoding": {"color": {"value": "#154866"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Industry"}, "field": "Industry"}}, "title": ["Malaysia : Share of economic sectors in", "the gross domestic product (GDP) from 2009", "to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: You can see from the chart between 2010 and 2018 , the industry shares generally decreased.

Chart data: Year Industry Dec 31, 2008 0.4097 Dec 31, 2009 0.405 Dec 31, 2010 0.3982 Dec 31, 2011 0.4014 Dec 31, 2012 0.3989 Dec 31, 2013 0.3992 Dec 31, 2014 0.3845 Dec 31, 2015 0.3768 Dec 31, 2016 0.3813 Dec 31, 2017 0.383 Dec 31, 2018 0.3742

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/253.tsv"}, "mark": "area", "encoding": {"color": {"value": "#154866"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Industry"}, "field": "Industry"}}, "title": ["Malaysia : Share of economic sectors in", "the gross domestic product (GDP) from 2009", "to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Overall, the share of economic sectors in the gross domestic product (GDP) has decreased from 2009 to 2019.

Chart data: Year Industry Dec 31, 2008 0.4097 Dec 31, 2009 0.405 Dec 31, 2010 0.3982 Dec 31, 2011 0.4014 Dec 31, 2012 0.3989 Dec 31, 2013 0.3992 Dec 31, 2014 0.3845 Dec 31, 2015 0.3768 Dec 31, 2016 0.3813 Dec 31, 2017 0.383 Dec 31, 2018 0.3742

Vega-Lite specification:
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Chart description: Over all the GDP goes down from 2009 to 2019. In 2016 there's a minima at 0.37, In 2009 it reached the maxima at 0.41. From 2009 to 2014, the GDP stayed relatively stable. From 2014 to 2016 there's a slightly sharp change on gdp.

Chart data: Year Industry Dec 31, 2008 0.4097 Dec 31, 2009 0.405 Dec 31, 2010 0.3982 Dec 31, 2011 0.4014 Dec 31, 2012 0.3989 Dec 31, 2013 0.3992 Dec 31, 2014 0.3845 Dec 31, 2015 0.3768 Dec 31, 2016 0.3813 Dec 31, 2017 0.383 Dec 31, 2018 0.3742

Vega-Lite specification:
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Chart description: It shows a steady trend with a slight decrease in the Industry over the years.

Chart data: Year Industry Dec 31, 2008 0.4097 Dec 31, 2009 0.405 Dec 31, 2010 0.3982 Dec 31, 2011 0.4014 Dec 31, 2012 0.3989 Dec 31, 2013 0.3992 Dec 31, 2014 0.3845 Dec 31, 2015 0.3768 Dec 31, 2016 0.3813 Dec 31, 2017 0.383 Dec 31, 2018 0.3742

Vega-Lite specification:
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Chart description: We see that working hours is pretty uniform between the ages of 25 and 64 with around 30 hour working weeks being the average per person.  Outside these age ranges average worked hours decrease markedly both as one gets younger and older, suggestive of other activities filling these peoples days.

Chart data: Per job per week excluding overtime Year 6.7 Younger than 15 years 13.1 15-19 years 24 20-24 years 31.6 25-29 years 32.2 30-34 years 31.5 35-39 years 31.2 40-44 years 31.1 45-49 years 30.9 50-54 years 30.5 55-59 years 29.6 60-64 years 21.8 65-74 years 16.2 75 years or older

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/2543.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#666666"}, "x": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Per job per week excluding overtime"}, "field": "Per job per week excluding overtime"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Average weekly working hours in the Netherlands", "in 2018 , by age"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: 30 to 34 year old worked the most hours in the Netherlands during 2018. The average hours worked for this age group is 32 hours per week.

Chart data: Per job per week excluding overtime Year 6.7 Younger than 15 years 13.1 15-19 years 24 20-24 years 31.6 25-29 years 32.2 30-34 years 31.5 35-39 years 31.2 40-44 years 31.1 45-49 years 30.9 50-54 years 30.5 55-59 years 29.6 60-64 years 21.8 65-74 years 16.2 75 years or older

Vega-Lite specification:
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Chart description: population in peru has gradually increased from 2008 till 2016.

Chart data: Year Total Dec 31, 2007 28.56 Dec 31, 2008 28.79 Dec 31, 2009 29.03 Dec 31, 2010 29.26 Dec 31, 2011 29.51 Dec 31, 2012 29.77 Dec 31, 2013 30.09 Dec 31, 2014 30.47 Dec 31, 2015 30.93 Dec 31, 2016 31.44 Dec 31, 2017 31.99

Vega-Lite specification:
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Chart description: The total male population in Peru was under 15 millions in 2008. By 2016 had increased to over 15 millions.

Chart data: Year Male Dec 31, 2007 14.25 Dec 31, 2008 14.36 Dec 31, 2009 14.47 Dec 31, 2010 14.58 Dec 31, 2011 14.69 Dec 31, 2012 14.81 Dec 31, 2013 14.95 Dec 31, 2014 15.13 Dec 31, 2015 15.36 Dec 31, 2016 15.61 Dec 31, 2017 15.89

Vega-Lite specification:
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Chart description: From the dates of 11th March to 23rd March the confirmed covid cases has increased at an exponential rate, on the 22nd of March an abnormally low amount of cases were reported, around 1/3 of  the expected confirmed cases from the overall data.

Chart data: Month Imported cases Mar 23 48 Mar 22 18 Mar 21 39 Mar 20 30 Mar 19 24 Mar 18 33 Mar 17 17 Mar 16 11 Mar 15 9 Mar 14 9 Mar 13 9 Mar 12 5 Mar 11 8

Vega-Lite specification:
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Chart description: dont really understand this graph apart from that they seem to steadily stay at the top.

Chart data: Response KPRF Communist Party of the Russian Federation Jan 26, 2019 0.12 Feb 23, 2019 0.13 Mar 30, 2019 0.13 Apr 27, 2019 0.12 May 25, 2019 0.13 Jun 29, 2019 0.11 Jul 27, 2019 0.12 Aug 24, 2019 0.12 Sep 28, 2019 0.13 Oct 26, 2019 0.13 Nov 23, 2019 0.12 Dec 21, 2019 0.12 Jan 25, 2020 0.11 Feb 22, 2020 0.11 Mar 28, 2020 0.12 Apr 25, 2020 0.13 May 30, 2020 0.11 Jun 27, 2020 0.12 Jul 25, 2020 0.13 Aug 29, 2020 0.12 Sep 26, 2020 0.13 Oct 24, 2020 0.13

Vega-Lite specification:
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Chart description: The voting rates where consistent throughout the first year, but dropped significantly in march before spiking again in august.

Chart data: Response LDPR Liberal-Democratic Party of Russia Jan 26, 2019 0.11 Feb 23, 2019 0.11 Mar 30, 2019 0.12 Apr 27, 2019 0.12 May 25, 2019 0.12 Jun 29, 2019 0.13 Jul 27, 2019 0.12 Aug 24, 2019 0.13 Sep 28, 2019 0.13 Oct 26, 2019 0.12 Nov 23, 2019 0.12 Dec 21, 2019 0.12 Jan 25, 2020 0.12 Feb 22, 2020 0.11 Mar 28, 2020 0.09 Apr 25, 2020 0.1 May 30, 2020 0.1 Jun 27, 2020 0.11 Jul 25, 2020 0.13 Aug 29, 2020 0.1 Sep 26, 2020 0.11 Oct 24, 2020 0.11

Vega-Lite specification:
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Chart description: During the month of February the dropped to below 0.1% for the first time in a year, and in August it returned to the original peak of 0.13% before quickly dropping back down.

Chart data: Response LDPR Liberal-Democratic Party of Russia Jan 26, 2019 0.11 Feb 23, 2019 0.11 Mar 30, 2019 0.12 Apr 27, 2019 0.12 May 25, 2019 0.12 Jun 29, 2019 0.13 Jul 27, 2019 0.12 Aug 24, 2019 0.13 Sep 28, 2019 0.13 Oct 26, 2019 0.12 Nov 23, 2019 0.12 Dec 21, 2019 0.12 Jan 25, 2020 0.12 Feb 22, 2020 0.11 Mar 28, 2020 0.09 Apr 25, 2020 0.1 May 30, 2020 0.1 Jun 27, 2020 0.11 Jul 25, 2020 0.13 Aug 29, 2020 0.1 Sep 26, 2020 0.11 Oct 24, 2020 0.11

Vega-Lite specification:
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