delen/vistext huggingface dataset:
Chart description: Ticket prices has increased throughout the years with the highest $65 in 2013-14 but decreasing again in 2014-15 to 47-/49 dolrs.

Chart data: Average ticket price in U.S. dollars Year 49.21 2014/15 67.25 2013/14 65.21 2012/13 49.06 2011/12 58.44 2010/11 58.44 2009/10 51.46 2008/09 48.84 2007/08 50.43 2006/07 44.01 2005/06

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/17432.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#51b2e5"}, "x": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Average ticket price in U.S. dollars"}, "field": "Average ticket price in U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}}, "title": ["Average ticket price New York Islanders", "games (NHL) from 2005/06 to 2014/15 (in U.S.", "dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The rate of violent crimes in 2000 was around 450,000 per year. It reduced slowly to around 2014, when there was a sharp decrease for some reason. From 2014 the rate of violent crimes started to once more increase, to above the starting figure in 2000.

Chart data: Year Number of violent crimes Dec 31, 1999 458559 Dec 31, 2000 457043 Dec 31, 2001 451733 Dec 31, 2002 453963 Dec 31, 2003 448514 Dec 31, 2004 447857 Dec 31, 2005 451652 Dec 31, 2006 445252 Dec 31, 2007 443608 Dec 31, 2008 444533 Dec 31, 2009 439220 Dec 31, 2010 424338 Dec 31, 2011 416147 Dec 31, 2012 384385 Dec 31, 2013 370050 Dec 31, 2014 382115 Dec 31, 2015 388564 Dec 31, 2016 406626 Dec 31, 2017 426839 Dec 31, 2018 480004

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/17451.tsv"}, "mark": "area", "encoding": {"color": {"value": "#c89d29"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of violent crimes"}, "field": "Number of violent crimes"}}, "title": ["Number violent crimes in Canada from 2000", "to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: On average the number of violent crimes in Canada, has increased from 2000 to 2019. Violent crimes in Canada decreased in 2013 to 2014.

Chart data: Year Number of violent crimes Dec 31, 1999 458559 Dec 31, 2000 457043 Dec 31, 2001 451733 Dec 31, 2002 453963 Dec 31, 2003 448514 Dec 31, 2004 447857 Dec 31, 2005 451652 Dec 31, 2006 445252 Dec 31, 2007 443608 Dec 31, 2008 444533 Dec 31, 2009 439220 Dec 31, 2010 424338 Dec 31, 2011 416147 Dec 31, 2012 384385 Dec 31, 2013 370050 Dec 31, 2014 382115 Dec 31, 2015 388564 Dec 31, 2016 406626 Dec 31, 2017 426839 Dec 31, 2018 480004

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/17451.tsv"}, "mark": "area", "encoding": {"color": {"value": "#c89d29"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of violent crimes"}, "field": "Number of violent crimes"}}, "title": ["Number violent crimes in Canada from 2000", "to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Kazoo had the highest share of smokers. Calabria had the lowest share of smokers. Marche, piedmont, Tuscany and Umbria had the same amount of shared smokers.

Chart data: Share of smokers Response 0.239 Lazio 0.21 Umbria 0.21 Marche 0.21 Tuscany 0.21 Piedmont 0.2 Liguria 0.2 Sardinia 0.197 Abruzzo 0.194 Basilicata 0.193 Lombardy 0.191 Sicily 0.187 Campania 0.184 Aosta Valley 0.181 Trentino-South Tyrol 0.177 Emilia-Romagna 0.176 Apulia 0.173 Molise 0.17 Veneto 0.166 Friuli-Venezia Giulia 0.163 Calabria

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/17459.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#E66C37"}, "x": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Share of smokers"}, "field": "Share of smokers"}, "y": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Response"}}, "title": ["Share of smokers aged 14 years and older", "in Italy in 2018 , by region"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Lazio has the highest share of smokers. Umbria and Tuscany have around the same share of smokers in the group. Calabria has the least number of smokers.

Chart data: Share of smokers Response 0.239 Lazio 0.21 Umbria 0.21 Marche 0.21 Tuscany 0.21 Piedmont 0.2 Liguria 0.2 Sardinia 0.197 Abruzzo 0.194 Basilicata 0.193 Lombardy 0.191 Sicily 0.187 Campania 0.184 Aosta Valley 0.181 Trentino-South Tyrol 0.177 Emilia-Romagna 0.176 Apulia 0.173 Molise 0.17 Veneto 0.166 Friuli-Venezia Giulia 0.163 Calabria

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/17459.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#E66C37"}, "x": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Share of smokers"}, "field": "Share of smokers"}, "y": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Response"}}, "title": ["Share of smokers aged 14 years and older", "in Italy in 2018 , by region"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The infant mortality rate has decreased from 2009 to 2019. It occasionally increased compared to the previous year but overall decreased.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 58.1 Dec 31, 2009 55.2 Dec 31, 2010 54.1 Dec 31, 2011 52.9 Dec 31, 2012 51.9 Dec 31, 2013 52.1 Dec 31, 2014 45.9 Dec 31, 2015 44 Dec 31, 2016 44.8 Dec 31, 2017 40.7 Dec 31, 2018 38.6

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/17461.tsv"}, "mark": "area", "encoding": {"color": {"value": "#154866"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Deaths per 1,000 live births"}, "field": "Deaths per 1,000 live births"}}, "title": ["Swaziland : Infant mortality rate from 2009", "to 2019 (in deaths per 1,000 live births)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The highest rate of infant mortality per 1000 live births in Swaziland between 2009 to 2019, was in 2009. Since 2009 the rate of infant mortality per 1000 births had been steadily dropping except for spikes in 2014 and 2017.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 58.1 Dec 31, 2009 55.2 Dec 31, 2010 54.1 Dec 31, 2011 52.9 Dec 31, 2012 51.9 Dec 31, 2013 52.1 Dec 31, 2014 45.9 Dec 31, 2015 44 Dec 31, 2016 44.8 Dec 31, 2017 40.7 Dec 31, 2018 38.6

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/17461.tsv"}, "mark": "area", "encoding": {"color": {"value": "#154866"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Deaths per 1,000 live births"}, "field": "Deaths per 1,000 live births"}}, "title": ["Swaziland : Infant mortality rate from 2009", "to 2019 (in deaths per 1,000 live births)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Swaziland seems to have very high infant mortality rate, which looking at the grap ,doesn’t seem to have made much progress over the last 8 years.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 58.1 Dec 31, 2009 55.2 Dec 31, 2010 54.1 Dec 31, 2011 52.9 Dec 31, 2012 51.9 Dec 31, 2013 52.1 Dec 31, 2014 45.9 Dec 31, 2015 44 Dec 31, 2016 44.8 Dec 31, 2017 40.7 Dec 31, 2018 38.6

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/17461.tsv"}, "mark": "area", "encoding": {"color": {"value": "#154866"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Deaths per 1,000 live births"}, "field": "Deaths per 1,000 live births"}}, "title": ["Swaziland : Infant mortality rate from 2009", "to 2019 (in deaths per 1,000 live births)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There are no clear patterns or trends in the data.

Chart data: Tackles in the World Rugby Cup Rubgy Player 188 Thierry Dusautoir 119 Julien Bonnaire 111 Fabien Pelous 109 Serge Betsen 92 Raphaël Ibanez 91 Pascal Pape 85 Abdelatif Benazzi 82 Imanol Harinordoquy 78 Bernard le Roux 78 Jérôme Thioux 76 Fabien Galthié 72 Frédéric Michalak 66 Lionel Nallet 66 Marc Liévremont 65 Vincent Clerc 65 Olivier Magne 62 Jean-Baptiste Poux 61 Louis Picamoles 60 Guihlem Guirado 59 Dimitri Szarzewski

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": "data/17472.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#cccccc"}, "x": {"type": "quantitative", "axis": {"title": "Tackles in the World Rugby Cup"}, "field": "Tackles in the World Rugby Cup"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Rubgy Player"}}, "title": ["Players with most tackles at the Rugby World", "Cup for the national rugby union team of", "France as of November 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The highest return on equity was 0.15. The highest return on equity was in 2019. The lowest return on equity was approximately 0.04 in 2008. The sharpest drop in return in equity was from 2007 to 2008.

Chart data: Year Return on equity Dec 31, 2006 0.13 Dec 31, 2007 0.04 Dec 31, 2008 0.06 Dec 31, 2009 0.1 Dec 31, 2010 0.11 Dec 31, 2011 0.11 Dec 31, 2012 0.09 Dec 31, 2013 0.1 Dec 31, 2014 0.11 Dec 31, 2015 0.1 Dec 31, 2016 0.1 Dec 31, 2017 0.13 Dec 31, 2018 0.15

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/17473.tsv"}, "mark": "area", "encoding": {"color": {"value": "#666666"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Return on equity"}, "field": "Return on equity"}}, "title": ["Return on common equity (ROE) of JPMorgan", "Chase from 2007 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Per capita personal income in Wisconsin shows steady year on year growth between 2000 and 2019.

Chart data: Income in U.S. dollars Year 53227 '19 51628 '18 49264 '17 47598 '16 46859 '15 44943 '14 43186 '13 43034 '12 41174 '11 38997 '10 38070 '09 38910 '08 37778 '07 36332 '06 34434 '05 33421 '04 32172 '03 31510 '02 30911 '01 29648 '00

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/17480.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#DB4437"}, "x": {"type": "quantitative", "axis": {"title": "Income in U.S. dollars"}, "field": "Income in U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Per capita personal income in Wisconsin", "from 2000 to 2019 (in current U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Cleaning and cooking appliances hold the largest number of devices per household, which indicates the necessity of both of these chores. Higher priced devices would be seen in less houeholds.

Chart data: Household Device Average number of devices** Cooking appliances 3.52 Cleaning appliances 2.93 Mobile phone 2.62 TV 2.29 PC/laptop 2.04 Games console 1.28 Video player 1.2 Printer 1.03 Audio/Hi-fi system 1 Tablet device 0.9 Camera/camcorder 0.68

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/17489.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#4285F4"}, "x": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Household Device"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Average number of devices**"}, "field": "Average number of devices**"}}, "title": ["How many of each of the following products", "or devices , in working order , do you have", "in your household ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: the line graph shows that in recent years, women in Finland have been getting married at a later age than in previous years. While the average age of marriage was just over 30 in 2010, by 2018 it was closer to 32.5.

Chart data: Year Average age in years Dec 31, 2008 30.2 Dec 31, 2009 30.3 Dec 31, 2010 30.6 Dec 31, 2011 30.8 Dec 31, 2012 30.6 Dec 31, 2013 30.7 Dec 31, 2014 31.2 Dec 31, 2015 31.4 Dec 31, 2016 31.7 Dec 31, 2017 31.7 Dec 31, 2018 32.1

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/17493.tsv"}, "mark": "line", "encoding": {"color": {"value": "#51b2e5"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Average age in years"}, "field": "Average age in years"}}, "title": ["Average age of women at first marriage in", "Finland from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Dependency rate on energy import in Turkey had generally increased from 2008 to 2017, with reaching its first peak in 2012 and second peak after 2014.

Chart data: Year Energy imports dependency rate Dec 31, 2007 0.7237 Dec 31, 2008 0.7036 Dec 31, 2009 0.7064 Dec 31, 2010 0.711 Dec 31, 2011 0.7563 Dec 31, 2012 0.7536 Dec 31, 2013 0.7628 Dec 31, 2014 0.7787 Dec 31, 2015 0.7548 Dec 31, 2016 0.7716

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": "data/17498.tsv"}, "mark": "area", "encoding": {"color": {"value": "#e7298a"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Energy imports dependency rate"}, "field": "Energy imports dependency rate"}}, "title": ["Dependency rate on energy imports in Turkey", "from 2008 to 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Energy import rates have been more or less steady in the last 8 years. Although data is showing a slight rise.

Chart data: Year Energy imports dependency rate Dec 31, 2007 0.7237 Dec 31, 2008 0.7036 Dec 31, 2009 0.7064 Dec 31, 2010 0.711 Dec 31, 2011 0.7563 Dec 31, 2012 0.7536 Dec 31, 2013 0.7628 Dec 31, 2014 0.7787 Dec 31, 2015 0.7548 Dec 31, 2016 0.7716

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": "data/17498.tsv"}, "mark": "area", "encoding": {"color": {"value": "#e7298a"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Energy imports dependency rate"}, "field": "Energy imports dependency rate"}}, "title": ["Dependency rate on energy imports in Turkey", "from 2008 to 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was an increase in energy imports dependency rate from 2011 to 2012. The energy imports dependency rate doesn't go below 0.6 in the years shown. The lowest dependency rates seem to have happened from 2009 to 2011.

Chart data: Year Energy imports dependency rate Dec 31, 2007 0.7237 Dec 31, 2008 0.7036 Dec 31, 2009 0.7064 Dec 31, 2010 0.711 Dec 31, 2011 0.7563 Dec 31, 2012 0.7536 Dec 31, 2013 0.7628 Dec 31, 2014 0.7787 Dec 31, 2015 0.7548 Dec 31, 2016 0.7716

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": "data/17498.tsv"}, "mark": "area", "encoding": {"color": {"value": "#e7298a"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Energy imports dependency rate"}, "field": "Energy imports dependency rate"}}, "title": ["Dependency rate on energy imports in Turkey", "from 2008 to 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The majority of players earned less than 500 thousand US dollars. Only 3 players earned over 500 thousand US dollars. 2 players earned over 2000 thousand US dollars. JerAx earned the most in 2018.

Chart data: Finland Esport Player Earnings in thousand U.S. dollars JerAx (Jesse Vainikka) 2290.63 Topson (Topias Taavitsainen) 2249.84 Matumbaman (Lasse Urpalainen) 646.15 Serral (Joona Sotala) 478.54 suNny (Miika Kemppi) 181.68 Sambty (Samu Kauppinen) 129.78 jOONAS (Joonas Savolainen) 96.6 Metsänauris (Otto Kaipiainen) 75.37 mxey (Anssi Pekkonen) 70.43 Jembty (Jere Kauppinen) 65.08

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/17500.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#f58518"}, "x": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Finland Esport Player"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Earnings in thousand U.S. dollars"}, "field": "Earnings in thousand U\\.S\\. dollars"}}, "title": ["Ranking of eSports players in Finland in", "2018 , by earnings (in thousand U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Manchester United is the clear winner in terms of jersey sales with .5 million lead over the next closest team which is Real Madrid which comes in at a figure of approx 2.25 million.

Chart data: European Football Team Jersey sales in millions Manchester United 2.85 Real Madrid 2.29 Barcelona 1.98 Chelsea 1.65 Bayern München (Munich) 1.5 Arsenal 1.23 Juventus 0.85 Liverpool 0.7 PSG 0.69 Milan 0.65

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/17509.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#666666"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "European Football Team"}, "y": {"type": "quantitative", "axis": {"title": "Jersey sales in millions"}, "field": "Jersey sales in millions"}}, "title": ["Ranking of a selection of European football", "clubs in 2016 , according to the number of", "jerseys sold worldwide (in millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There has been a decrease in the proved crude oil reserves in Mexico from 2009 to 2019, with the most significant decrease being observed in 2016 and after.

Chart data: Year Oil reserves in billion barrels Dec 31, 2008 10.5 Dec 31, 2009 10.4 Dec 31, 2010 10.42 Dec 31, 2011 10.36 Dec 31, 2012 10.26 Dec 31, 2013 10.07 Dec 31, 2014 9.81 Dec 31, 2015 9.71 Dec 31, 2016 7.26 Dec 31, 2017 6.63 Dec 31, 2018 6.43

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/17510.tsv"}, "mark": "line", "encoding": {"color": {"value": "#703c5c"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Oil reserves in billion barrels"}, "field": "Oil reserves in billion barrels"}}, "title": ["Proved crude oil reserves in Mexico from", "2009 to 2019 (in billion barrels)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: there has been very little movement in the number of stores throughout the years.

Chart data: Year Number of stores 2019 627 2018 630 2017 633 2016 640 2015 648 2014 661 2013 675 2012 691 2011 705 2010* 720 2008 726 2007 713 2006 695 2005 681

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/1751.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#B0B0B0"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Number of stores"}, "field": "Number of stores"}}, "title": ["Number of Barnes & Noble stores from fiscal", "year 2005 to fiscal year 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Gross margin as a share of sales has fluctuated greatly between 2005 and 2015, but is generally increasing. It saw a large spike ~2013 where it reached an all-time high.

Chart data: Year Gross margin as a share of sales Dec 31, 2001 0.256 Dec 31, 2002 0.243 Dec 31, 2003 0.265 Dec 31, 2004 0.266 Dec 31, 2005 0.261 Dec 31, 2006 0.259 Dec 31, 2007 0.263 Dec 31, 2008 0.246 Dec 31, 2009 0.263 Dec 31, 2010 0.262 Dec 31, 2011 0.264 Dec 31, 2012 0.289 Dec 31, 2013 0.264 Dec 31, 2014 0.262 Dec 31, 2015 0.263 Dec 31, 2016 0.285 Dec 31, 2017 0.281

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": "data/17522.tsv"}, "mark": "line", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Gross margin as a share of sales"}, "field": "Gross margin as a share of sales"}}, "title": ["U.S. merchant wholesalers ' gross margin", "as a share of sales of beer , wine , and", "distilled alcoholic beverages from 2002 to", "2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: U.S. merchant wholesalers' gross margin as a share of sales of beer, wine and distilled alcoholic beverages from 2002 to 2018 has stayed at a level between 0.24 and 0.29.

Chart data: Year Gross margin as a share of sales Dec 31, 2001 0.256 Dec 31, 2002 0.243 Dec 31, 2003 0.265 Dec 31, 2004 0.266 Dec 31, 2005 0.261 Dec 31, 2006 0.259 Dec 31, 2007 0.263 Dec 31, 2008 0.246 Dec 31, 2009 0.263 Dec 31, 2010 0.262 Dec 31, 2011 0.264 Dec 31, 2012 0.289 Dec 31, 2013 0.264 Dec 31, 2014 0.262 Dec 31, 2015 0.263 Dec 31, 2016 0.285 Dec 31, 2017 0.281

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": "data/17522.tsv"}, "mark": "line", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Gross margin as a share of sales"}, "field": "Gross margin as a share of sales"}}, "title": ["U.S. merchant wholesalers ' gross margin", "as a share of sales of beer , wine , and", "distilled alcoholic beverages from 2002 to", "2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Williams Companies had the lowest revenue in 2009 with under 6,000 million U.S. dollars. Williams Companies had the highest revenue in 2018 with over 8,000 million U.S. dollars.

Chart data: Year Revenue in million U.S. dollars Dec 31, 2006 6639 Dec 31, 2007 6904 Dec 31, 2008 5278 Dec 31, 2009 6638 Dec 31, 2010 7930 Dec 31, 2011 7486 Dec 31, 2012 6860 Dec 31, 2013 7637 Dec 31, 2014 7360 Dec 31, 2015 7499 Dec 31, 2016 8031 Dec 31, 2017 8686 Dec 31, 2018 8201

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/17524.tsv"}, "mark": "area", "encoding": {"color": {"value": "#0570b0"}, "x": {"type": "temporal", "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": ["Williams Companies ' revenue from 2007 to", "2019 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The revenue dropped to the lowest in 2009.The highest revenue was in 2018.

Chart data: Year Revenue in million U.S. dollars Dec 31, 2006 6639 Dec 31, 2007 6904 Dec 31, 2008 5278 Dec 31, 2009 6638 Dec 31, 2010 7930 Dec 31, 2011 7486 Dec 31, 2012 6860 Dec 31, 2013 7637 Dec 31, 2014 7360 Dec 31, 2015 7499 Dec 31, 2016 8031 Dec 31, 2017 8686 Dec 31, 2018 8201

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/17524.tsv"}, "mark": "area", "encoding": {"color": {"value": "#0570b0"}, "x": {"type": "temporal", "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": ["Williams Companies ' revenue from 2007 to", "2019 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There has been an overall increase in revenue between 2008 and 2018. There was a constant siderable decrease in 2009.

Chart data: Year Revenue in million U.S. dollars Dec 31, 2006 6639 Dec 31, 2007 6904 Dec 31, 2008 5278 Dec 31, 2009 6638 Dec 31, 2010 7930 Dec 31, 2011 7486 Dec 31, 2012 6860 Dec 31, 2013 7637 Dec 31, 2014 7360 Dec 31, 2015 7499 Dec 31, 2016 8031 Dec 31, 2017 8686 Dec 31, 2018 8201

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/17524.tsv"}, "mark": "area", "encoding": {"color": {"value": "#0570b0"}, "x": {"type": "temporal", "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": ["Williams Companies ' revenue from 2007 to", "2019 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is a gradual linear rise in life expectancy age from 2008 to 2016 of roughly 5 years, meaning people a gradually living longer and longer.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 73.55 Dec 31, 2008 74 Dec 31, 2009 74.38 Dec 31, 2010 74.7 Dec 31, 2011 74.97 Dec 31, 2012 75.23 Dec 31, 2013 75.48 Dec 31, 2014 75.73 Dec 31, 2015 75.97 Dec 31, 2016 76.22 Dec 31, 2017 76.45

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": "data/17537.tsv"}, "mark": "area", "encoding": {"color": {"value": "#55b748"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Life expectancy at birth in years"}, "field": "Life expectancy at birth in years"}}, "title": ["Morocco : Life expectancy at birth from", "2008 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Life expectancy in Morocco has increased modestly between 2008 and 2016. The chart shows that babies born today in Morocco can expect to live into their late 70s.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 73.55 Dec 31, 2008 74 Dec 31, 2009 74.38 Dec 31, 2010 74.7 Dec 31, 2011 74.97 Dec 31, 2012 75.23 Dec 31, 2013 75.48 Dec 31, 2014 75.73 Dec 31, 2015 75.97 Dec 31, 2016 76.22 Dec 31, 2017 76.45

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": "data/17537.tsv"}, "mark": "area", "encoding": {"color": {"value": "#55b748"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Life expectancy at birth in years"}, "field": "Life expectancy at birth in years"}}, "title": ["Morocco : Life expectancy at birth from", "2008 to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Of the recorded health conditions, Depression is by far the most prevalent among those diagnosed in millennials in the US, as of 2018. Anxiety, overweightness and migraines are also fairly prevalent.

Chart data: Response Percentage of millennials Depression 0.17 Overweight 0.12 Migraines 0.12 An anxiety disorder 0.11 High blood pressure 0.09 Asthma 0.08 Obesity 0.07 High cholesterol 0.07 Arthritis 0.05 ADD/ADHD 0.05

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": "data/17548.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ffffcc"}, "x": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Percentage of millennials"}, "field": "Percentage of millennials"}}, "title": ["Percentage of millennials in the U.S. who", "had been told by a health care provider that", "they had select health conditions as of 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}