delen/vistext huggingface dataset:
Chart description: Broadband subscription in Mexico has increased incrementally over the past 20 years, with a small plateau around 2013.

Chart data: Year Number of subscriptions per 100 inhabitants Dec 31, 1999 0.02 Dec 31, 2000 0.05 Dec 31, 2001 0.23 Dec 31, 2002 0.42 Dec 31, 2003 1.01 Dec 31, 2004 1.81 Dec 31, 2005 2.81 Dec 31, 2006 4.13 Dec 31, 2007 6.8 Dec 31, 2008 8.57 Dec 31, 2009 9.28 Dec 31, 2010 10 Dec 31, 2011 11.15 Dec 31, 2012 10.73 Dec 31, 2013 10.83 Dec 31, 2014 12.11 Dec 31, 2015 13.03 Dec 31, 2016 13.75 Dec 31, 2017 14.64 Dec 31, 2018 15.03

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/22712.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ccebc5"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Number of subscriptions per 100 inhabitants"}, "field": "Number of subscriptions per 100 inhabitants"}}, "title": ["Number of fixed broadband subscriptions", "per 100 inhabitants in Mexico from 2000 to", "2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Expenses have increased by 50% in the period 2001-2019. 2005 has the lowest expenses. In general expenses have increased overall.

Chart data: Year Player expenses in million U.S. dollars Dec 31, 2000 103 Dec 31, 2001 106 Dec 31, 2002 109 Dec 31, 2003 94 Dec 31, 2004 91 Dec 31, 2005 110 Dec 31, 2006 101 Dec 31, 2007 106 Dec 31, 2008 111 Dec 31, 2009 97 Dec 31, 2010 102 Dec 31, 2011 109 Dec 31, 2012 106 Dec 31, 2013 127 Dec 31, 2014 125 Dec 31, 2015 137 Dec 31, 2016 141 Dec 31, 2017 133 Dec 31, 2018 150

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": "data/22718.tsv"}, "mark": "area", "encoding": {"color": {"value": "#4598ae"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Player expenses in million U.S. dollars"}, "field": "Player expenses in million U\\.S\\. dollars"}}, "title": ["Player expenses of the Atlanta Braves from", "2001 to 2019 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Statements about BCM tend to be applied across the businesses however a small percentage of respondents said that they do not have a BCM process at all.

Chart data: Percentage of repondents Response 0.56 Our BCM program is approved by management 0.55 We have incident and crisis management procedures in place 0.55 We have procedures to enable the continuity of the ICT infrastructure 0.55 We have procedures in place to enable the continuity of critical business processes 0.55 We have procedures to protect our organization's people 0.53 Our BCM program covers all critical business processes 0.49 We continously improve our BCM program 0.49 We have identified the recovery time for business-critical resources 0.47 Our BCM program is well-documented and robust 0.39 We continously identify and assess key continuity threats and risks 0.38 We have established relationships with local emergency response groups 0.33 We continously monitor and report on BCM related risks 0.18 We do not have a BCM program

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/22719.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#D64550"}, "x": {"type": "quantitative", "axis": {"title": "Percentage of repondents"}, "field": "Percentage of repondents"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Response"}}, "title": ["Which of the following statements apply", "to your organization\u00e2\u20ac\u2122s business continuity", "management strategy and program ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: the graph shows a large rise in median income from from 2015 to 2019. The median household income was at its lowest in 1991.

Chart data: Year Household income in current U.S. dollars Dec 31, 1989 31098 Dec 31, 1990 29155 Dec 31, 1991 32755 Dec 31, 1992 31065 Dec 31, 1993 35802 Dec 31, 1994 33824 Dec 31, 1995 32358 Dec 31, 1996 35053 Dec 31, 1997 39372 Dec 31, 1998 41584 Dec 31, 1999 39594 Dec 31, 2000 40794 Dec 31, 2001 42999 Dec 31, 2002 43261 Dec 31, 2003 47329 Dec 31, 2004 50704 Dec 31, 2005 51981 Dec 31, 2006 47390 Dec 31, 2007 50706 Dec 31, 2008 52318 Dec 31, 2009 55928 Dec 31, 2010 51862 Dec 31, 2011 55582 Dec 31, 2012 54842 Dec 31, 2013 60708 Dec 31, 2014 59494 Dec 31, 2015 60837 Dec 31, 2016 63805 Dec 31, 2017 70066 Dec 31, 2018 74305

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/22720.tsv"}, "mark": "area", "encoding": {"color": {"value": "#fed9a6"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Household income in current U.S. dollars"}, "field": "Household income in current U\\.S\\. dollars"}}, "title": ["Median household income in Vermont from", "1990 to 2019 (in current U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The net profit of the China Construction Bank has risen between 2008 to 2018, from 90 to 270 billion yuan. The net profit rose steeply from 2008 to 2014, then plateaued until 206, where it continued to rise again.

Chart data: Year Net profit in billion yuan Dec 31, 2007 92.6 Dec 31, 2008 106.8 Dec 31, 2009 134.8 Dec 31, 2010 169.44 Dec 31, 2011 193.6 Dec 31, 2012 215.12 Dec 31, 2013 228.25 Dec 31, 2014 228.89 Dec 31, 2015 232.39 Dec 31, 2016 243.62 Dec 31, 2017 255.63 Dec 31, 2018 269.22

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/22723.tsv"}, "mark": "line", "encoding": {"color": {"value": "#154866"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Net profit in billion yuan"}, "field": "Net profit in billion yuan"}}, "title": ["Net profit of the China Construction Bank", "from 2008 to 2019 (in billion yuan)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Cola is the highest value of sales soft drink. Traditional mixers appears to be the lowest value of sales.

Chart data: Value of sales in million GBP Soft Drink Sub-category 577 Cola 462 Stimulants 242 Fruit carbs 232 Plain water 163 Juice drinks 136 Glucose 129 Cold hot drinks 126 Water plus 85 Sports 69 Pure juice 61 Non-fruit carbs 41 Squash 35 Lemonade 25 Smoothies 20 Traditional mixers 2288 Total soft drinks

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/22740.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#118DFF"}, "x": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Value of sales in million GBP"}, "field": "Value of sales in million GBP"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Soft Drink Sub-category"}}, "title": ["Value of soft drink sales through convenience", "channels in the United Kingdom in 2018 ,", "by sub-category (in million GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of vehicles registered increases every year. There is a very steep initial increase from 2000 to around 2007. From 2007 to 2019 the increase is much steadier. In 2000 the number of vehicles is less than 40000. At the end of the initial steep increase, the number of vehicles is around 80000. By 2019 the number of vehicles is over 100000.

Chart data: Year Number of registered vehicles Dec 31, 1999 11550 Dec 31, 2000 16597 Dec 31, 2001 24528 Dec 31, 2002 36352 Dec 31, 2003 47700 Dec 31, 2004 58327 Dec 31, 2005 70504 Dec 31, 2006 78364 Dec 31, 2007 81459 Dec 31, 2008 83745 Dec 31, 2009 87443 Dec 31, 2010 89764 Dec 31, 2011 89686 Dec 31, 2012 90474 Dec 31, 2013 91802 Dec 31, 2014 95393 Dec 31, 2015 97959 Dec 31, 2016 100283 Dec 31, 2017 102672 Dec 31, 2018 105362

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": "data/22743.tsv"}, "mark": "area", "encoding": {"color": {"value": "#aa4643"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Number of registered vehicles"}, "field": "Number of registered vehicles"}}, "title": ["Number of Mitsubishi L200 registered light", "goods vehicles in Great Britain from 2000", "to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The user penetration level is continuing to rise In 10 years it has Risen by 0.3.

Chart data: Year User penetration Dec 31, 2002 0.053 Dec 31, 2003 0.084 Dec 31, 2004 0.129 Dec 31, 2005 0.179 Dec 31, 2006 0.236 Dec 31, 2007 0.272 Dec 31, 2008 0.299 Dec 31, 2009 0.314 Dec 31, 2010 0.328 Dec 31, 2011 0.337 Dec 31, 2012 0.346

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/22748.tsv"}, "mark": "area", "encoding": {"color": {"value": "#999999"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "User penetration"}, "field": "User penetration"}}, "title": ["Fixed broadband user penetration in Germany", "from 2003 to 2013"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: A number of manucaturers of glass and glass products in Romania has been decreasing in 2008-2011. In those years, the number went down from 600 to ~425. From 2011, the numbers remained more or less constant.

Chart data: Number of enterprises Year 421 2017* 428 2016 436 2015 432 2014 429 2013 427 2012 432 2011 479 2010 577 2009* 603 2008

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/22751.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#cbd5e8"}, "x": {"type": "quantitative", "axis": {"title": "Number of enterprises"}, "field": "Number of enterprises"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Number of enterprises in the manufacture", "of glass and glass products industry in Romania", "from 2008 to 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of enterprises has continued to decrease almost each year from 2008 to 2017.

Chart data: Number of enterprises Year 421 2017* 428 2016 436 2015 432 2014 429 2013 427 2012 432 2011 479 2010 577 2009* 603 2008

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/22751.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#cbd5e8"}, "x": {"type": "quantitative", "axis": {"title": "Number of enterprises"}, "field": "Number of enterprises"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Number of enterprises in the manufacture", "of glass and glass products industry in Romania", "from 2008 to 2017"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Units of Volvo cars registered per year in Spain more than tripled from 2010 to 2018.

Chart data: Year Units registered Dec 31, 2008 5061 Dec 31, 2009 5578 Dec 31, 2010 8629 Dec 31, 2011 6339 Dec 31, 2012 6612 Dec 31, 2013 8139 Dec 31, 2014 10640 Dec 31, 2015 13408 Dec 31, 2016 13452 Dec 31, 2017 15877 Dec 31, 2018 16617

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/22755.tsv"}, "mark": "area", "encoding": {"color": {"value": "#000000"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Units registered"}, "field": "Units registered"}}, "title": ["Number of Volvo cars registered in Spain", "from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Production budget remained constant from 2009 to 2013 . Production budget then increased gradually until 2015 and increased sharply again in 2018.

Chart data: Year Production budget in million euros Dec 31, 2008 0.2 Dec 31, 2009 0.2 Dec 31, 2010 0.2 Dec 31, 2011 0.2 Dec 31, 2012 0.2 Dec 31, 2013 0.3 Dec 31, 2014 0.4 Dec 31, 2015 0.4 Dec 31, 2016 0.3 Dec 31, 2017 0.8

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/22758.tsv"}, "mark": "line", "encoding": {"color": {"value": "#3580b1"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Production budget in million euros"}, "field": "Production budget in million euros"}}, "title": ["Median feature film production budget in", "the United Kingdom (UK) from 2009 to 2018", "(in million euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Between 2009 and 2013, the production budget remained constant at 0.2 million euros. Between 2013 and 2015, the production budget doubled from 0.2 million euros to 0.4 million euros. The highest the production budget has reached since 2009 was 0.8 million euros in 2018.

Chart data: Year Production budget in million euros Dec 31, 2008 0.2 Dec 31, 2009 0.2 Dec 31, 2010 0.2 Dec 31, 2011 0.2 Dec 31, 2012 0.2 Dec 31, 2013 0.3 Dec 31, 2014 0.4 Dec 31, 2015 0.4 Dec 31, 2016 0.3 Dec 31, 2017 0.8

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/22758.tsv"}, "mark": "line", "encoding": {"color": {"value": "#3580b1"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Production budget in million euros"}, "field": "Production budget in million euros"}}, "title": ["Median feature film production budget in", "the United Kingdom (UK) from 2009 to 2018", "(in million euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph starts at its highest point, going over 500 but then rapidly dropping down to 250 in 2009, increasing slightly to 2010, but then once again dropping steadily to 2014 sitting at about 160. It has since risen to over 200 but still less than half of what it was at the start of the graph.

Chart data: Year Turnover in million NOK Dec 31, 2007 543 Dec 31, 2008 253 Dec 31, 2009 263 Dec 31, 2010 244 Dec 31, 2011 230 Dec 31, 2012 196 Dec 31, 2013 169 Dec 31, 2014 192 Dec 31, 2015 188 Dec 31, 2016 210 Dec 31, 2017 212

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/22759.tsv"}, "mark": "area", "encoding": {"color": {"value": "#DB4437"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Turnover in million NOK"}, "field": "Turnover in million NOK"}}, "title": ["Turnover of workwear manufacturers in Norway", "from 2008 to 2018 (in million NOK)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The area within the chart is not very descriptive as the y axis is unnamed.

Chart data: Year Unnamed: 1 Dec 31, 2008 0.4265 Dec 31, 2009 0.4262 Dec 31, 2010 0.4259 Dec 31, 2011 0.4256 Dec 31, 2012 0.4253 Dec 31, 2013 0.425 Dec 31, 2014 0.4249 Dec 31, 2015 0.4251 Dec 31, 2016 0.4256 Dec 31, 2017 0.4263 Dec 31, 2018 0.4273

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/22769.tsv"}, "mark": "area", "encoding": {"color": {"value": "#E66C37"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Unnamed: 1"}, "field": "Unnamed: 1"}}, "title": ["Moldova : Urbanization from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The forecasted volume is set to increase year-on-year, and its peak in 2028 is projected to be just over 3,500 tonnes.

Chart data: Volume in thousand tonnes Year 3662 2028* 3564 2027* 3465 2026* 3365 2025* 3272 2024* 3172 2023* 3077 2022* 2983 2021* 2890 2020* 2916 2019* 3292 2018** 2628 2017 2477 2016 2371 2015

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/22787.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#a6761d"}, "x": {"type": "quantitative", "axis": {"title": "Volume in thousand tonnes"}, "field": "Volume in thousand tonnes"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}}, "title": ["Forecast volume of soybean oil produced", "in the European Union (EU 27) from 2015 to", "2028 (in 1,000 tonnes)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: it shows that vodka was leading in the most drink bought, with another vodka drink coming in at second.

Chart data: Sales volume in thousand liters Brand 937 Explorer Vodka 747 Absolut Vodka 690 The Famous Grouse 647 Dworek Vodka 566 Lord Calvert 508 Jägermeister 388 Tullamore Dew 367 Captain Morgan Spiced Gold 337 Black Velvet 319 Vanlig Vodka 319 Koskenkorva Vodka 315 Bell's 312 High Commissioner 312 Smirnoff 302 Grant's 297 Brännvin Special 295 Good ol' Sailor 279 Renat 278 Jameson 275 Gilbey's Special Dry Gin

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/22811.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#3e5c69"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Sales volume in thousand liters"}, "field": "Sales volume in thousand liters"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Brand"}}, "title": ["Sales volume of the leading spirits brands", "in Systembolaget stores in Sweden in 2019", "(in 1,000 liters)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The region with the greatest average load factor is Provence-Alpes-Cote d'Azurand the region with the lowest is Ile-de-France.

Chart data: region of France Average load factor Provence-Alpes-Côte d'Azur 0.169 Corsica 0.165 Nouvelle-Aquitaine 0.156 Occitany 0.152 Bourgogne Franche-Comté 0.141 Auvergne-Rhône-Alpes 0.139 Centre-Val de Loire 0.138 Pays de la Loire 0.129 Grand-Est 0.127 Brittany 0.12 Normandy 0.118 Hauts-de-France 0.109 Ile-de-France 0.098

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/22813.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#703c5c"}, "x": {"type": "nominal", "axis": {"labelAngle": 90}, "bin": false, "field": "region of France"}, "y": {"type": "quantitative", "axis": {"title": "Average load factor"}, "field": "Average load factor"}}, "title": ["Share of the average photovoltaic plant", "load factor (PLF) France in 2019 , by region"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Bob Cousy had the highest assists and Fave Cowens had the lowest assists.

Chart data: Player Assists Bob Cousy 6945 John Havlicek 6114 Larry Bird 5695 Rajon Rondo 4474 Paul Pierce 4305 Bill Russell 4100 Jojo White 3686 Dennis Johnson 3486 K.C. Jones 2908 Dave Cowens 2828

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/22821.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ab7fb4"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Player"}, "y": {"type": "quantitative", "axis": {"title": "Assists"}, "field": "Assists"}}, "title": ["Boston Celtics all-time assists leaders", "from 1946 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Hank Aaron had the most hits. Bobby Lowe and Hugh Duffy had the least number of hits.

Chart data: Number of hits Player 3600 Hank Aaron 2726 Chipper Jones 2201 Eddie Mathews 1994 Fred Tenney 1902 Herman Long 1901 Dale Murphy 1696 Rabbit Maranville 1683 Andruw Jones 1608 Bobby Lowe 1545 Hugh Duffy

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": "data/22824.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#aa4643"}, "x": {"type": "quantitative", "axis": {"labelAngle": -45, "title": "Number of hits"}, "field": "Number of hits"}, "y": {"type": "nominal", "axis": {"labelAngle": 0}, "bin": false, "field": "Player"}}, "title": ["Atlanta Braves all-time hits leaders as", "of October 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of employees at ecolab has doubled since the year 2010, up to roughy 50,000. This increase was the most rapid between 2010 and 2012. After this the growth has slowed substantially and the increase was at a constant rate.

Chart data: Year Number of employees Dec 31, 2008 25931 Dec 31, 2009 26494 Dec 31, 2010 40200 Dec 31, 2011 40860 Dec 31, 2012 45415 Dec 31, 2013 47430 Dec 31, 2014 47145 Dec 31, 2015 47565 Dec 31, 2016 48400 Dec 31, 2017 49000 Dec 31, 2018 50200

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/2282.tsv"}, "mark": "area", "encoding": {"color": {"value": "#12239E"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Number of employees"}, "field": "Number of employees"}}, "title": ["Ecolab 's number of employees from 2009", "to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Broadly speaking, the monthly wages of musicians have increased from 2016 to 2020. The exception to this happened in the second quarter of 2020 where the wages were lower than this quarter in the previous year.

Chart data: Quarter Average monthly wages in NOK Q3 2020 48460 Q2 2020 45820 Q1 2020 48530 Q4 2019 48240 Q3 2019 47500 Q2 2019 47060 Q1 2019 46780 Q4 2018 46410 Q3 2018 46070 Q2 2018 46240 Q1 2018 46050 Q4 2017 45260 Q3 2017 44540 Q2 2017 44690 Q1 2017 44200 Q4 2016 44210 Q3 2016 43170 Q2 2016 44270 Q1 2016 42850

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/22835.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#703c5c"}, "x": {"type": "nominal", "axis": {"labelAngle": -45}, "bin": false, "field": "Quarter"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Average monthly wages in NOK"}, "field": "Average monthly wages in NOK"}}, "title": ["Average monthly wages of musicians , singers", "and composers in Norway from 1st quarter", "2016 to 3rd quarter 2020 (in NOK)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: 2016 have the lowest average monthly wages in NOK. 2020 have the highest average monthly wages in NOK. Average monthly wages in NOK increases as the years increase.

Chart data: Quarter Average monthly wages in NOK Q3 2020 48460 Q2 2020 45820 Q1 2020 48530 Q4 2019 48240 Q3 2019 47500 Q2 2019 47060 Q1 2019 46780 Q4 2018 46410 Q3 2018 46070 Q2 2018 46240 Q1 2018 46050 Q4 2017 45260 Q3 2017 44540 Q2 2017 44690 Q1 2017 44200 Q4 2016 44210 Q3 2016 43170 Q2 2016 44270 Q1 2016 42850

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/22835.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#703c5c"}, "x": {"type": "nominal", "axis": {"labelAngle": -45}, "bin": false, "field": "Quarter"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Average monthly wages in NOK"}, "field": "Average monthly wages in NOK"}}, "title": ["Average monthly wages of musicians , singers", "and composers in Norway from 1st quarter", "2016 to 3rd quarter 2020 (in NOK)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Receivables dropped significantly after about 2001 but then started growing again about 2011.

Chart data: Year Receivables in billion U.S. dollars Dec 31, 1999 162.63 Dec 31, 2000 165.49 Dec 31, 2001 158.57 Dec 31, 2002 149.11 Dec 31, 2003 141.63 Dec 31, 2004 136.72 Dec 31, 2005 136.92 Dec 31, 2006 128.78 Dec 31, 2007 118.75 Dec 31, 2008 107.48 Dec 31, 2009 99.57 Dec 31, 2010 97.93 Dec 31, 2011 103.22 Dec 31, 2012 108.5 Dec 31, 2013 110.72 Dec 31, 2014 113.13 Dec 31, 2015 122.88 Dec 31, 2016 126.24 Dec 31, 2017 127.53 Dec 31, 2018 126.34

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/22858.tsv"}, "mark": "area", "encoding": {"color": {"value": "#F4B400"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Receivables in billion U.S. dollars"}, "field": "Receivables in billion U\\.S\\. dollars"}}, "title": ["Lease financing receivables of FDIC-insured", "commercial banks in the United States from", "2000 to 2019 (in billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There were 2 dips in GDP in around 1935 (-0.13) and 1948 (-0.12). There was a spike in around 1942. Since around 1950 the fluctuations have been much smaller between 0.10 and -0.02 with a small dip in around 2010 down to -0.04.

Chart data: Year Real GDP growth Dec 31, 1929 −0.085 Dec 31, 1930 −0.064 Dec 31, 1931 −0.129 Dec 31, 1932 −0.012 Dec 31, 1933 0.108 Dec 31, 1934 0.089 Dec 31, 1935 0.129 Dec 31, 1936 0.051 Dec 31, 1937 −0.033 Dec 31, 1938 0.08 Dec 31, 1939 0.088 Dec 31, 1940 0.177 Dec 31, 1941 0.189 Dec 31, 1942 0.17 Dec 31, 1943 0.08 Dec 31, 1944 −0.01 Dec 31, 1945 −0.116 Dec 31, 1946 −0.011 Dec 31, 1947 0.041 Dec 31, 1948 −0.006 Dec 31, 1949 0.087 Dec 31, 1950 0.08 Dec 31, 1951 0.041 Dec 31, 1952 0.047 Dec 31, 1953 −0.006 Dec 31, 1954 0.071 Dec 31, 1955 0.021 Dec 31, 1956 0.021 Dec 31, 1957 −0.007 Dec 31, 1958 0.069 Dec 31, 1959 0.026 Dec 31, 1960 0.026 Dec 31, 1961 0.061 Dec 31, 1962 0.044 Dec 31, 1963 0.058 Dec 31, 1964 0.065 Dec 31, 1965 0.066 Dec 31, 1966 0.027 Dec 31, 1967 0.049 Dec 31, 1968 0.031 Dec 31, 1969 0.002 Dec 31, 1970 0.033 Dec 31, 1971 0.053 Dec 31, 1972 0.056 Dec 31, 1973 −0.005 Dec 31, 1974 −0.002 Dec 31, 1975 0.054 Dec 31, 1976 0.046 Dec 31, 1977 0.055 Dec 31, 1978 0.032 Dec 31, 1979 −0.003 Dec 31, 1980 0.025 Dec 31, 1981 −0.018 Dec 31, 1982 0.046 Dec 31, 1983 0.072 Dec 31, 1984 0.042 Dec 31, 1985 0.035 Dec 31, 1986 0.035 Dec 31, 1987 0.042 Dec 31, 1988 0.037 Dec 31, 1989 0.019 Dec 31, 1990 −0.001 Dec 31, 1991 0.035 Dec 31, 1992 0.028 Dec 31, 1993 0.04 Dec 31, 1994 0.027 Dec 31, 1995 0.038 Dec 31, 1996 0.044 Dec 31, 1997 0.045 Dec 31, 1998 0.048 Dec 31, 1999 0.041 Dec 31, 2000 0.01 Dec 31, 2001 0.017 Dec 31, 2002 0.029 Dec 31, 2003 0.038 Dec 31, 2004 0.035 Dec 31, 2005 0.029 Dec 31, 2006 0.019 Dec 31, 2007 −0.001 Dec 31, 2008 −0.025 Dec 31, 2009 0.026 Dec 31, 2010 0.016 Dec 31, 2011 0.022 Dec 31, 2012 0.018 Dec 31, 2013 0.025 Dec 31, 2014 0.031 Dec 31, 2015 0.017 Dec 31, 2016 0.023 Dec 31, 2017 0.03 Dec 31, 2018 0.022

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/2287.tsv"}, "mark": "line", "encoding": {"color": {"value": "#168dd9"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Real GDP growth"}, "field": "Real GDP growth"}}, "title": ["Annual growth of real GDP in the United", "States of America from 1930 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}