delen/vistext huggingface dataset:
Chart description: Wave 3 had the biggest impact on purchasing tech products whilst wave 5 had the least impact. All other months during this period were very similar.

Chart data: Tablet Response 0.1 Wave 19 0.09 Wave 18 0.1 Wave 17 0.1 Wave 16 0.11 Wave 15 0.11 Wave 14 0.11 Wave 13 0.09 Wave 12 0.11 Wave 11 0.11 Wave 10 0.11 Wave 9 0.11 Wave 8 0.11 Wave 7 0.11 Wave 6 0.08 Wave 5 0.11 Wave 4 0.12 Wave 3 0.09 Wave 2 0.11 Wave 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": "multiColumn/data/4972.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#00609f"}, "x": {"type": "quantitative", "axis": {"title": "Tablet"}, "field": "Tablet"}, "y": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "Response"}}, "title": ["Impact of the novel coronavirus (COVID-19)", "on purchasing tech products in the United", "States from March to October 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Apr 11 - Mar 12 had the highest turnover in the gambling industry. Apr 14 - Mar 15 and Oct 18 - SEP 19 had the lowest turnover.

Chart data: Other Month 0.47 Oct 18 - Sep 19 0.55 Apr 18 - Mar 19 0.61 Apr 17 - Mar 18 0.65 Apr 16 - Mar 17 0.56 Apr 15 - Mar 16 0.48 Apr 14 - Mar 15 0.62 Apr 13 - Mar 14 0.64 Apr 12 - Mar 13 0.76 Apr 11 - Mar 12 0.56 Apr 10 - Mar 11 0.62 Apr 09 - Mar 10

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#3e5c69"}, "line": {"stroke": "#3e5c69"}, "rect": {"fill": "#3e5c69"}, "bar": {"fill": "#3e5c69"}, "point": {"color": "#3e5c69"}, "axis": {"domainWidth": 0.5, "grid": true, "labelPadding": 2, "tickSize": 5, "tickWidth": 0.5, "titleFontWeight": "normal"}, "axisBand": {"grid": false}, "axisX": {"gridWidth": 0.2}, "axisY": {"gridDash": [3], "gridWidth": 0.4}, "legend": {"labelFontSize": 11, "padding": 1, "symbolType": "square"}, "range": {"category": ["#3e5c69", "#6793a6", "#182429", "#0570b0", "#3690c0", "#74a9cf", "#a6bddb", "#e2ddf2"]}}, "data": {"url": "multiColumn/data/4974.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#6793a6"}, "x": {"type": "quantitative", "axis": {"title": "Other"}, "field": "Other"}, "y": {"type": "nominal", "axis": {"labelAngle": 0}, "bin": false, "field": "Month"}}, "title": ["Off-course betting turnover in the gambling", "industry in Great Britain (GB) from 2009", "to 2019 , by sector (in billion GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: there is very little to differentiate between customers desires in 2019 and 2020. typically between 0.3 and 0.4 % of those asked intended to buy a small appliance in the next 3 months.

Chart data: Small household appliances Response 0.327 May 200 0.346 Apr 2020 0.287 Mar 2020 0.369 Feb 2020 0.414 Jan 2020 0.365 Dec 2019 0.347 Nov 2019 0.342 Oct 2019 0.369 Sep 2019 0.376 Aug 2019 0.377 Jul 2019 0.373 Jun 2019 0.362 May 2019 0.369 Apr 2019 0.356 Mar 2019 0.366 Feb 2019 0.362 Jan 2019

Vega-Lite specification:
{"config": {"view": {"fill": "#e5e5e5"}, "area": {"fill": "#000"}, "line": {"stroke": "#000"}, "rect": {"fill": "#000"}, "bar": {"fill": "#000"}, "point": {"color": "#000", "size": 40}, "axis": {"domain": false, "grid": true, "gridColor": "#FFFFFF", "gridOpacity": 1, "labelColor": "#7F7F7F", "labelPadding": 4, "tickColor": "#7F7F7F", "tickSize": 5.67, "titleFontSize": 16, "titleFontWeight": "normal"}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 40}, "range": {"category": ["#000000", "#7F7F7F", "#1A1A1A", "#999999", "#333333", "#B0B0B0", "#4D4D4D", "#C9C9C9", "#666666", "#DCDCDC"]}}, "data": {"url": "multiColumn/data/4977.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#333333"}, "x": {"type": "quantitative", "axis": {"title": "Small household appliances"}, "field": "Small household appliances"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}}, "title": ["In the next three months , are you planning", "to purchase household appliances ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In each month shown on the chart, at least 19% of consumers have said that they are planning to purchase household appliances. In January, February and July of 2019 and 2020, this percentage was slightly higher than all other months. The lowest month was March 2019.

Chart data: Consumer electronics Response 0.231 May 200 0.255 Apr 2020 0.2 Mar 2020 0.26 Feb 2020 0.275 Jan 2020 0.232 Dec 2019 0.232 Nov 2019 0.219 Oct 2019 0.238 Sep 2019 0.242 Aug 2019 0.248 Jul 2019 0.24 Jun 2019 0.239 May 2019 0.243 Apr 2019 0.246 Mar 2019 0.252 Feb 2019 0.255 Jan 2019

Vega-Lite specification:
{"config": {"view": {"stroke": "transparent"}, "background": "transparent", "font": "Segoe UI", "header": {"titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleFontSize": 16, "titleColor": "#252423", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C"}, "axis": {"ticks": false, "grid": false, "domain": false, "labelColor": "#605E5C", "labelFontSize": 12, "titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleColor": "#252423", "titleFontSize": 16, "titleFontWeight": "normal"}, "axisQuantitative": {"tickCount": 3, "grid": true, "gridColor": "#C8C6C4", "gridDash": [1, 5], "labelFlush": false}, "axisBand": {"tickExtra": true}, "axisX": {"labelPadding": 5}, "axisY": {"labelPadding": 10}, "bar": {"fill": "#118DFF"}, "line": {"stroke": "#118DFF", "strokeWidth": 3, "strokeCap": "round", "strokeJoin": "round"}, "text": {"font": "Segoe UI", "fontSize": 12, "fill": "#605E5C"}, "area": {"fill": "#118DFF", "line": true, "opacity": 0.6}, "rect": {"fill": "#118DFF"}, "point": {"fill": "#118DFF", "filled": true, "size": 75}, "legend": {"titleFont": "Segoe UI", "titleFontWeight": "bold", "titleColor": "#605E5C", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C", "symbolType": "circle", "symbolSize": 75}, "range": {"category": ["#118DFF", "#12239E", "#E66C37", "#6B007B", "#E044A7", "#744EC2", "#D9B300", "#D64550"], "diverging": ["#DEEFFF", "#118DFF"], "heatmap": ["#DEEFFF", "#118DFF"], "ordinal": ["#DEEFFF", "#c7e4ff", "#b0d9ff", "#9aceff", "#83c3ff", "#6cb9ff", "#55aeff", "#3fa3ff", "#2898ff", "#118DFF"]}}, "data": {"url": "multiColumn/data/4977.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#6B007B"}, "x": {"type": "quantitative", "axis": {"labelAngle": -90, "title": "Consumer electronics"}, "field": "Consumer electronics"}, "y": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "Response"}}, "title": ["In the next three months , are you planning", "to purchase household appliances ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Three episodes is the preference of mellenials on the chart.

Chart data: Response 25-39 years 1 episode 0.02 2 episodes 0.06 3 episodes 0.18 4 episodes 0.16 5 episodes 0.14 6 episodes 0.08 7 episodes 0.02 8 episodes 0.05 9 episodes 0.01 10 episodes 0.03 More than 10 episodes 0.1 Don't know 0.15

Vega-Lite specification:
{"config": {"background": "#000", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#7fc97f", "#beaed4", "#fdc086", "#ffff99", "#386cb0", "#f0027f", "#bf5b17", "#666666"]}}, "data": {"url": "multiColumn/data/4978.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#beaed4"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "25-39 years"}, "field": "25-39 years"}}, "title": ["Preferred number of TV show episodes to", "watch in one binge watching session among", "Millennials in the United Kingdom (UK) in", "December 2016"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Value of merchandise exports is very unevenly distributed across China’s bay city areas. Hong Kong exports the largest value of merchandise by a significant margin - over 500 billion dollars compared to the next area of largest value of exports, Shenzhen with just over 200 billion dollars. The  remaining areas represented allExport less than 120 billion dollars of goods.

Chart data: city of China 2018 Hong Kon  530.44; city of China: Hong Kong Shenzhe  246.34; city of China: Shenzhen Donggua  120.44; city of China: Dongguan Guangzho  84.85; city of China: Guangzhou Fosha  53.56; city of China: Foshan Huizho  33.46; city of China: Huizhou Zhuha  28.65; city of China: Zhuhai Zhongsha  27.32; city of China: Zhongshan Jiangme  17.04; city of China: Jiangmen Zhaoqin  3.6; city of China: Zhaoqing Maca  1.51; city of China: Macao

Vega-Lite specification:
{"config": {"background": "#000", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#7fc97f", "#beaed4", "#fdc086", "#ffff99", "#386cb0", "#f0027f", "#bf5b17", "#666666"]}}, "data": {"url": "multiColumn/data/4983.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bf5b17"}, "x": {"type": "nominal", "axis": {"labelAngle": 90}, "bin": false, "field": "city of China"}, "y": {"type": "quantitative", "axis": {"title": "2018"}, "field": "2018"}}, "title": ["Value of merchandise exports from China", "'s Greater Bay Area cities in 2018 and 2019", ", by city (in billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Most of the merchandise that export from China came from Hong Kong which account for more than 500 billion value of goods. The second highest city is Shenzhen which accounted for less than 250 billion.

Chart data: city of China 2019 Hong Kon  509.02; city of China: Hong Kong Shenzhe  240.92; city of China: Shenzhen Donggua  125.08; city of China: Dongguan Guangzho  76.22; city of China: Guangzhou Fosha  54.04; city of China: Foshan Huizho  26.41; city of China: Huizhou Zhuha  23.98; city of China: Zhuhai Zhongsha  27.97; city of China: Zhongshan Jiangme  16.47; city of China: Jiangmen Zhaoqin  3.94; city of China: Zhaoqing Maca  1.59; city of China: Macao

Vega-Lite specification:
{"config": {"view": {"fill": "#e5e5e5"}, "area": {"fill": "#000"}, "line": {"stroke": "#000"}, "rect": {"fill": "#000"}, "bar": {"fill": "#000"}, "point": {"color": "#000", "size": 40}, "axis": {"domain": false, "grid": true, "gridColor": "#FFFFFF", "gridOpacity": 1, "labelColor": "#7F7F7F", "labelPadding": 4, "tickColor": "#7F7F7F", "tickSize": 5.67, "titleFontSize": 16, "titleFontWeight": "normal"}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 40}, "range": {"category": ["#000000", "#7F7F7F", "#1A1A1A", "#999999", "#333333", "#B0B0B0", "#4D4D4D", "#C9C9C9", "#666666", "#DCDCDC"]}}, "data": {"url": "multiColumn/data/4983.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#4D4D4D"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "city of China"}, "y": {"type": "quantitative", "axis": {"title": "2019"}, "field": "2019"}}, "title": ["Value of merchandise exports from China", "'s Greater Bay Area cities in 2018 and 2019", ", by city (in billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The highest amount of McColl's stores are in the North West with over 200 stores. The fewest amount of McColl's stores are in London with around 25 stores. There are various amounts of stores in each region, there isn't an obvious pattern.

Chart data: Convenience store region of the United Kingdom 169 Scotland 71 North East 207 North West 115 Yorkshire and the Humber 64 East Midlands 66 West Midlands 49 Wales 115 East of England 13 London 180 South East 150 South West

Vega-Lite specification:
{"config": {"range": {"category": ["#4c78a8", "#9ecae9", "#f58518", "#ffbf79", "#54a24b", "#88d27a", "#b79a20", "#f2cf5b", "#439894", "#83bcb6", "#e45756", "#ff9d98", "#79706e", "#bab0ac", "#d67195", "#fcbfd2", "#b279a2", "#d6a5c9", "#9e765f", "#d8b5a5"]}}, "data": {"url": "multiColumn/data/4984.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d67195"}, "x": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Convenience store"}, "field": "Convenience store"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "region of the United Kingdom"}}, "title": ["Number of McColl 's stores in the United", "Kingdom (UK) as of 2019 , by type and region"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There are the most Mccolls stores in East England with a figure of just over 60 compared to the lowest in wales and London showing 5/6.

Chart data: Newsagent region of the United Kingdom 30 Scotland 8 North East 23 North West 10 Yorkshire and the Humber 11 East Midlands 30 West Midlands 4 Wales 62 East of England 4 London 44 South East 18 South West

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#4572a7"}, "line": {"stroke": "#4572a7", "strokeWidth": 2}, "rect": {"fill": "#4572a7"}, "bar": {"fill": "#4572a7"}, "point": {"color": "#4572a7", "strokeWidth": 1.5, "size": 50}, "axis": {"bandPosition": 0.5, "grid": true, "gridColor": "#000000", "gridOpacity": 1, "gridWidth": 0.5, "labelPadding": 10, "tickSize": 5, "tickWidth": 0.5}, "axisBand": {"grid": false, "tickExtra": true}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 50, "symbolType": "square"}, "range": {"category": ["#4572a7", "#aa4643", "#8aa453", "#71598e", "#4598ae", "#d98445", "#94aace", "#d09393", "#b9cc98", "#a99cbc"]}}, "data": {"url": "multiColumn/data/4984.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#4598ae"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Newsagent"}, "field": "Newsagent"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "region of the United Kingdom"}}, "title": ["Number of McColl 's stores in the United", "Kingdom (UK) as of 2019 , by type and region"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The East of England has the highest number of Mc Coll's stores in the UK as of 2019. Both London and Wales have the lowest number of Mc Coll's stores.

Chart data: Newsagent region of the United Kingdom 30 Scotland 8 North East 23 North West 10 Yorkshire and the Humber 11 East Midlands 30 West Midlands 4 Wales 62 East of England 4 London 44 South East 18 South West

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#4572a7"}, "line": {"stroke": "#4572a7", "strokeWidth": 2}, "rect": {"fill": "#4572a7"}, "bar": {"fill": "#4572a7"}, "point": {"color": "#4572a7", "strokeWidth": 1.5, "size": 50}, "axis": {"bandPosition": 0.5, "grid": true, "gridColor": "#000000", "gridOpacity": 1, "gridWidth": 0.5, "labelPadding": 10, "tickSize": 5, "tickWidth": 0.5}, "axisBand": {"grid": false, "tickExtra": true}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 50, "symbolType": "square"}, "range": {"category": ["#4572a7", "#aa4643", "#8aa453", "#71598e", "#4598ae", "#d98445", "#94aace", "#d09393", "#b9cc98", "#a99cbc"]}}, "data": {"url": "multiColumn/data/4984.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#4598ae"}, "x": {"type": "quantitative", "axis": {"labelAngle": 90, "title": "Newsagent"}, "field": "Newsagent"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "region of the United Kingdom"}}, "title": ["Number of McColl 's stores in the United", "Kingdom (UK) as of 2019 , by type and region"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: As the years increase, age decreases.

Chart data: Year 0-14 years Dec 31, 2008 0.4486 Dec 31, 2009 0.4488 Dec 31, 2010 0.4489 Dec 31, 2011 0.4488 Dec 31, 2012 0.4485 Dec 31, 2013 0.4479 Dec 31, 2014 0.4468 Dec 31, 2015 0.4451 Dec 31, 2016 0.4432 Dec 31, 2017 0.441 Dec 31, 2018 0.4384

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": "multiColumn/data/4993.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ec8431"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "0-14 years"}, "field": "0-14 years"}}, "title": ["Tanzania : Age structure from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number in this age bracket is slowly declining.

Chart data: Year 0-14 years Dec 31, 2008 0.4486 Dec 31, 2009 0.4488 Dec 31, 2010 0.4489 Dec 31, 2011 0.4488 Dec 31, 2012 0.4485 Dec 31, 2013 0.4479 Dec 31, 2014 0.4468 Dec 31, 2015 0.4451 Dec 31, 2016 0.4432 Dec 31, 2017 0.441 Dec 31, 2018 0.4384

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": "multiColumn/data/4993.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ec8431"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "0-14 years"}, "field": "0-14 years"}}, "title": ["Tanzania : Age structure from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There was a decrease in age structure between 2014 to 2018.

Chart data: Year 0-14 years Dec 31, 2008 0.4486 Dec 31, 2009 0.4488 Dec 31, 2010 0.4489 Dec 31, 2011 0.4488 Dec 31, 2012 0.4485 Dec 31, 2013 0.4479 Dec 31, 2014 0.4468 Dec 31, 2015 0.4451 Dec 31, 2016 0.4432 Dec 31, 2017 0.441 Dec 31, 2018 0.4384

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": "multiColumn/data/4993.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ec8431"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "0-14 years"}, "field": "0-14 years"}}, "title": ["Tanzania : Age structure from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: the age structure holds steady at 0.4 from 2010 until 2014 but then there is a slight decrease until 2018.

Chart data: Year 0-14 years Dec 31, 2008 0.4486 Dec 31, 2009 0.4488 Dec 31, 2010 0.4489 Dec 31, 2011 0.4488 Dec 31, 2012 0.4485 Dec 31, 2013 0.4479 Dec 31, 2014 0.4468 Dec 31, 2015 0.4451 Dec 31, 2016 0.4432 Dec 31, 2017 0.441 Dec 31, 2018 0.4384

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": "multiColumn/data/4993.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ec8431"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "0-14 years"}, "field": "0-14 years"}}, "title": ["Tanzania : Age structure from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The GDP of Burundi has dropped significantly between 2013 and 2019.

Chart data: Year Agriculture Dec 31, 2008 0.3672 Dec 31, 2009 0.3843 Dec 31, 2010 0.367 Dec 31, 2011 0.3542 Dec 31, 2012 0.3837 Dec 31, 2013 0.3496 Dec 31, 2014 0.3068 Dec 31, 2015 0.3154 Dec 31, 2016 0.2855 Dec 31, 2017 0.2901 Dec 31, 2018 0.289

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": "multiColumn/data/4994.tsv"}, "mark": "line", "encoding": {"color": {"value": "#829eb1"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Agriculture"}, "field": "Agriculture"}}, "title": ["Burundi : Share of economic sectors in the", "gross domestic product (GDP) from 2009 to", "2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: 2019 was the lowest gdp 2009 was the lighest gdp and its a eratic line of ups and downs.

Chart data: Year Industry Dec 31, 2008 0.1692 Dec 31, 2009 0.1539 Dec 31, 2010 0.1481 Dec 31, 2011 0.1575 Dec 31, 2012 0.1558 Dec 31, 2013 0.155 Dec 31, 2014 0.1176 Dec 31, 2015 0.1221 Dec 31, 2016 0.1099 Dec 31, 2017 0.1111 Dec 31, 2018 0.1096

Vega-Lite specification:
{"config": {"range": {"category": ["#393b79", "#5254a3", "#6b6ecf", "#9c9ede", "#637939", "#8ca252", "#b5cf6b", "#cedb9c", "#8c6d31", "#bd9e39", "#e7ba52", "#e7cb94", "#843c39", "#ad494a", "#d6616b", "#e7969c", "#7b4173", "#a55194", "#ce6dbd", "#de9ed6"]}}, "data": {"url": "multiColumn/data/4994.tsv"}, "mark": "line", "encoding": {"color": {"value": "#b5cf6b"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Industry"}, "field": "Industry"}}, "title": ["Burundi : Share of economic sectors in the", "gross domestic product (GDP) from 2009 to", "2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There has been a steady decrease in share of economic sectors in GDP over ten years, 2009 - 2019. However there were two periods where this rose briefly before decreasing, in 2011 and 2015. 2014 saw the greatest decrease.

Chart data: Year Industry Dec 31, 2008 0.1692 Dec 31, 2009 0.1539 Dec 31, 2010 0.1481 Dec 31, 2011 0.1575 Dec 31, 2012 0.1558 Dec 31, 2013 0.155 Dec 31, 2014 0.1176 Dec 31, 2015 0.1221 Dec 31, 2016 0.1099 Dec 31, 2017 0.1111 Dec 31, 2018 0.1096

Vega-Lite specification:
{"config": {"range": {"category": ["#393b79", "#5254a3", "#6b6ecf", "#9c9ede", "#637939", "#8ca252", "#b5cf6b", "#cedb9c", "#8c6d31", "#bd9e39", "#e7ba52", "#e7cb94", "#843c39", "#ad494a", "#d6616b", "#e7969c", "#7b4173", "#a55194", "#ce6dbd", "#de9ed6"]}}, "data": {"url": "multiColumn/data/4994.tsv"}, "mark": "line", "encoding": {"color": {"value": "#b5cf6b"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Industry"}, "field": "Industry"}}, "title": ["Burundi : Share of economic sectors in the", "gross domestic product (GDP) from 2009 to", "2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Beyond 2016 there appears to be a decline in the admittance of Refugees into Canada.

Chart data: Year Africa and Middle East Dec 31, 2007 9231 Dec 31, 2008 11066 Dec 31, 2009 11216 Dec 31, 2010 12800 Dec 31, 2011 10725 Dec 31, 2012 13448 Dec 31, 2013 13938 Dec 31, 2014 21721 Dec 31, 2015 48759 Dec 31, 2016 29593

Vega-Lite specification:
{"config": {"view": {"stroke": "transparent"}, "background": "transparent", "font": "Segoe UI", "header": {"titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleFontSize": 16, "titleColor": "#252423", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C"}, "axis": {"ticks": false, "grid": false, "domain": false, "labelColor": "#605E5C", "labelFontSize": 12, "titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleColor": "#252423", "titleFontSize": 16, "titleFontWeight": "normal"}, "axisQuantitative": {"tickCount": 3, "grid": true, "gridColor": "#C8C6C4", "gridDash": [1, 5], "labelFlush": false}, "axisBand": {"tickExtra": true}, "axisX": {"labelPadding": 5}, "axisY": {"labelPadding": 10}, "bar": {"fill": "#118DFF"}, "line": {"stroke": "#118DFF", "strokeWidth": 3, "strokeCap": "round", "strokeJoin": "round"}, "text": {"font": "Segoe UI", "fontSize": 12, "fill": "#605E5C"}, "area": {"fill": "#118DFF", "line": true, "opacity": 0.6}, "rect": {"fill": "#118DFF"}, "point": {"fill": "#118DFF", "filled": true, "size": 75}, "legend": {"titleFont": "Segoe UI", "titleFontWeight": "bold", "titleColor": "#605E5C", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C", "symbolType": "circle", "symbolSize": 75}, "range": {"category": ["#118DFF", "#12239E", "#E66C37", "#6B007B", "#E044A7", "#744EC2", "#D9B300", "#D64550"], "diverging": ["#DEEFFF", "#118DFF"], "heatmap": ["#DEEFFF", "#118DFF"], "ordinal": ["#DEEFFF", "#c7e4ff", "#b0d9ff", "#9aceff", "#83c3ff", "#6cb9ff", "#55aeff", "#3fa3ff", "#2898ff", "#118DFF"]}}, "data": {"url": "multiColumn/data/4995.tsv"}, "mark": "line", "encoding": {"color": {"value": "#12239E"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Africa and Middle East"}, "field": "Africa and Middle East"}}, "title": ["Number of permanent resident refugees admitted", "in Canada from 2008 to 2017 , by origin area"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of permanent resident refugees admitted in Canada was highest in 2011 and lowest in 2014.

Chart data: Year Asia and Pacific Dec 31, 2007 6383 Dec 31, 2008 6615 Dec 31, 2009 6696 Dec 31, 2010 7141 Dec 31, 2011 5703 Dec 31, 2012 4797 Dec 31, 2013 4457 Dec 31, 2014 5381 Dec 31, 2015 6004 Dec 31, 2016 6619

Vega-Lite specification:
{"config": {"background": "#FFFFFF", "title": {"anchor": "start", "fontSize": 18, "font": "Lato"}, "axisX": {"domain": true, "domainColor": "#000000", "domainWidth": 1, "grid": false, "labelFontSize": 12, "labelFont": "Lato", "tickColor": "#000000", "tickSize": 5, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato"}, "axisY": {"domain": false, "domainWidth": 1, "grid": true, "gridColor": "#DEDDDD", "gridWidth": 1, "labelFontSize": 12, "labelFont": "Lato", "labelPadding": 8, "ticks": false, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato", "titleAngle": 0, "titleY": -10, "titleX": 18}, "legend": {"labelFontSize": 12, "labelFont": "Lato", "symbolSize": 100, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato", "orient": "right", "offset": 10}, "view": {"stroke": "transparent"}, "range": {"category": ["#1696d2", "#ec008b", "#fdbf11", "#000000", "#d2d2d2", "#55b748"], "diverging": ["#ca5800", "#fdbf11", "#fdd870", "#fff2cf", "#cfe8f3", "#73bfe2", "#1696d2", "#0a4c6a"], "heatmap": ["#ca5800", "#fdbf11", "#fdd870", "#fff2cf", "#cfe8f3", "#73bfe2", "#1696d2", "#0a4c6a"], "ordinal": ["#cfe8f3", "#a2d4ec", "#73bfe2", "#46abdb", "#1696d2", "#12719e"], "ramp": ["#CFE8F3", "#A2D4EC", "#73BFE2", "#46ABDB", "#1696D2", "#12719E", "#0A4C6A", "#062635"]}, "area": {"fill": "#1696d2"}, "rect": {"fill": "#1696d2"}, "line": {"color": "#1696d2", "stroke": "#1696d2", "strokeWidth": 5}, "trail": {"color": "#1696d2", "stroke": "#1696d2", "strokeWidth": 0, "size": 1}, "point": {"color": "#1696d2", "size": 30}, "text": {"font": "Lato", "color": "#1696d2", "fontSize": 11, "align": "center", "fontWeight": 400, "size": 11}, "style": {"bar": {"fill": "#1696d2", "stroke": null}}}, "data": {"url": "multiColumn/data/4995.tsv"}, "mark": "area", "encoding": {"color": {"value": "#1696d2"}, "x": {"type": "temporal", "axis": {"labelAngle": 90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Asia and Pacific"}, "field": "Asia and Pacific"}}, "title": ["Number of permanent resident refugees admitted", "in Canada from 2008 to 2017 , by origin area"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: By 2016, the number of permanent resident refugees admitted in Canada had increased significantly.

Chart data: Year Europe Dec 31, 2007 994 Dec 31, 2008 789 Dec 31, 2009 869 Dec 31, 2010 931 Dec 31, 2011 882 Dec 31, 2012 966 Dec 31, 2013 1213 Dec 31, 2014 1189 Dec 31, 2015 1237 Dec 31, 2016 1649

Vega-Lite specification:
{"config": {"area": {"fill": "#3366CC"}, "rect": {"fill": "#3366CC"}, "bar": {"fill": "#3366CC"}, "point": {"stroke": "#3366CC"}, "circle": {"fill": "#3366CC"}, "background": "#fff", "padding": {"top": 10, "right": 10, "bottom": 10, "left": 10}, "style": {"guide-label": {"font": "Arial, sans-serif", "fontSize": 12}, "guide-title": {"font": "Arial, sans-serif", "fontSize": 12}, "group-title": {"font": "Arial, sans-serif", "fontSize": 12}}, "title": {"font": "Arial, sans-serif", "fontSize": 14, "fontWeight": "bold", "dy": -3, "anchor": "start"}, "axis": {"gridColor": "#ccc", "tickColor": "#ccc", "domain": false, "grid": true}, "range": {"category": ["#4285F4", "#DB4437", "#F4B400", "#0F9D58", "#AB47BC", "#00ACC1", "#FF7043", "#9E9D24", "#5C6BC0", "#F06292", "#00796B", "#C2185B"], "heatmap": ["#c6dafc", "#5e97f6", "#2a56c6"]}}, "data": {"url": "multiColumn/data/4995.tsv"}, "mark": "line", "encoding": {"color": {"value": "#C2185B"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Europe"}, "field": "Europe"}}, "title": ["Number of permanent resident refugees admitted", "in Canada from 2008 to 2017 , by origin area"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of permanent resident refugees fell after 2008 but began to climb again until 2011 when it started falling again. From 2012 the numbers have continued to steadily climb.

Chart data: Year Europe Dec 31, 2007 994 Dec 31, 2008 789 Dec 31, 2009 869 Dec 31, 2010 931 Dec 31, 2011 882 Dec 31, 2012 966 Dec 31, 2013 1213 Dec 31, 2014 1189 Dec 31, 2015 1237 Dec 31, 2016 1649

Vega-Lite specification:
{"config": {"area": {"fill": "#3366CC"}, "rect": {"fill": "#3366CC"}, "bar": {"fill": "#3366CC"}, "point": {"stroke": "#3366CC"}, "circle": {"fill": "#3366CC"}, "background": "#fff", "padding": {"top": 10, "right": 10, "bottom": 10, "left": 10}, "style": {"guide-label": {"font": "Arial, sans-serif", "fontSize": 12}, "guide-title": {"font": "Arial, sans-serif", "fontSize": 12}, "group-title": {"font": "Arial, sans-serif", "fontSize": 12}}, "title": {"font": "Arial, sans-serif", "fontSize": 14, "fontWeight": "bold", "dy": -3, "anchor": "start"}, "axis": {"gridColor": "#ccc", "tickColor": "#ccc", "domain": false, "grid": true}, "range": {"category": ["#4285F4", "#DB4437", "#F4B400", "#0F9D58", "#AB47BC", "#00ACC1", "#FF7043", "#9E9D24", "#5C6BC0", "#F06292", "#00796B", "#C2185B"], "heatmap": ["#c6dafc", "#5e97f6", "#2a56c6"]}}, "data": {"url": "multiColumn/data/4995.tsv"}, "mark": "line", "encoding": {"color": {"value": "#C2185B"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Europe"}, "field": "Europe"}}, "title": ["Number of permanent resident refugees admitted", "in Canada from 2008 to 2017 , by origin area"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: in the years between 2008 and 2017 the was a high increase of permanant resident refugeesin 2008 there was 1000 refugees and a decline of 500 by 2009in 2010 there was a rise in the refugees and by 2017 it had risen to over2000the years 2014 to 2016 saw a steady line with no drastic increase by 2016 there was a sharp rise.

Chart data: Year Europe Dec 31, 2007 994 Dec 31, 2008 789 Dec 31, 2009 869 Dec 31, 2010 931 Dec 31, 2011 882 Dec 31, 2012 966 Dec 31, 2013 1213 Dec 31, 2014 1189 Dec 31, 2015 1237 Dec 31, 2016 1649

Vega-Lite specification:
{"config": {"area": {"fill": "#3366CC"}, "rect": {"fill": "#3366CC"}, "bar": {"fill": "#3366CC"}, "point": {"stroke": "#3366CC"}, "circle": {"fill": "#3366CC"}, "background": "#fff", "padding": {"top": 10, "right": 10, "bottom": 10, "left": 10}, "style": {"guide-label": {"font": "Arial, sans-serif", "fontSize": 12}, "guide-title": {"font": "Arial, sans-serif", "fontSize": 12}, "group-title": {"font": "Arial, sans-serif", "fontSize": 12}}, "title": {"font": "Arial, sans-serif", "fontSize": 14, "fontWeight": "bold", "dy": -3, "anchor": "start"}, "axis": {"gridColor": "#ccc", "tickColor": "#ccc", "domain": false, "grid": true}, "range": {"category": ["#4285F4", "#DB4437", "#F4B400", "#0F9D58", "#AB47BC", "#00ACC1", "#FF7043", "#9E9D24", "#5C6BC0", "#F06292", "#00796B", "#C2185B"], "heatmap": ["#c6dafc", "#5e97f6", "#2a56c6"]}}, "data": {"url": "multiColumn/data/4995.tsv"}, "mark": "line", "encoding": {"color": {"value": "#C2185B"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Europe"}, "field": "Europe"}}, "title": ["Number of permanent resident refugees admitted", "in Canada from 2008 to 2017 , by origin area"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of permanent resident refugees admitted in Canada increased between the years 2008-2016.

Chart data: Year Europe Dec 31, 2007 994 Dec 31, 2008 789 Dec 31, 2009 869 Dec 31, 2010 931 Dec 31, 2011 882 Dec 31, 2012 966 Dec 31, 2013 1213 Dec 31, 2014 1189 Dec 31, 2015 1237 Dec 31, 2016 1649

Vega-Lite specification:
{"config": {"area": {"fill": "#3366CC"}, "rect": {"fill": "#3366CC"}, "bar": {"fill": "#3366CC"}, "point": {"stroke": "#3366CC"}, "circle": {"fill": "#3366CC"}, "background": "#fff", "padding": {"top": 10, "right": 10, "bottom": 10, "left": 10}, "style": {"guide-label": {"font": "Arial, sans-serif", "fontSize": 12}, "guide-title": {"font": "Arial, sans-serif", "fontSize": 12}, "group-title": {"font": "Arial, sans-serif", "fontSize": 12}}, "title": {"font": "Arial, sans-serif", "fontSize": 14, "fontWeight": "bold", "dy": -3, "anchor": "start"}, "axis": {"gridColor": "#ccc", "tickColor": "#ccc", "domain": false, "grid": true}, "range": {"category": ["#4285F4", "#DB4437", "#F4B400", "#0F9D58", "#AB47BC", "#00ACC1", "#FF7043", "#9E9D24", "#5C6BC0", "#F06292", "#00796B", "#C2185B"], "heatmap": ["#c6dafc", "#5e97f6", "#2a56c6"]}}, "data": {"url": "multiColumn/data/4995.tsv"}, "mark": "line", "encoding": {"color": {"value": "#C2185B"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Europe"}, "field": "Europe"}}, "title": ["Number of permanent resident refugees admitted", "in Canada from 2008 to 2017 , by origin area"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The amount dropped in 2009 but increases overall, peaking in 2017.

Chart data: Year Europe Dec 31, 2007 994 Dec 31, 2008 789 Dec 31, 2009 869 Dec 31, 2010 931 Dec 31, 2011 882 Dec 31, 2012 966 Dec 31, 2013 1213 Dec 31, 2014 1189 Dec 31, 2015 1237 Dec 31, 2016 1649

Vega-Lite specification:
{"config": {"area": {"fill": "#3366CC"}, "rect": {"fill": "#3366CC"}, "bar": {"fill": "#3366CC"}, "point": {"stroke": "#3366CC"}, "circle": {"fill": "#3366CC"}, "background": "#fff", "padding": {"top": 10, "right": 10, "bottom": 10, "left": 10}, "style": {"guide-label": {"font": "Arial, sans-serif", "fontSize": 12}, "guide-title": {"font": "Arial, sans-serif", "fontSize": 12}, "group-title": {"font": "Arial, sans-serif", "fontSize": 12}}, "title": {"font": "Arial, sans-serif", "fontSize": 14, "fontWeight": "bold", "dy": -3, "anchor": "start"}, "axis": {"gridColor": "#ccc", "tickColor": "#ccc", "domain": false, "grid": true}, "range": {"category": ["#4285F4", "#DB4437", "#F4B400", "#0F9D58", "#AB47BC", "#00ACC1", "#FF7043", "#9E9D24", "#5C6BC0", "#F06292", "#00796B", "#C2185B"], "heatmap": ["#c6dafc", "#5e97f6", "#2a56c6"]}}, "data": {"url": "multiColumn/data/4995.tsv"}, "mark": "line", "encoding": {"color": {"value": "#C2185B"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Europe"}, "field": "Europe"}}, "title": ["Number of permanent resident refugees admitted", "in Canada from 2008 to 2017 , by origin area"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The line chart shows that since 2009 the share of economic sectors in the GDP has been gradually falling. It reached a low point of 0.18 in 2019, after having been above 0.3 in 2010. The only exception was in 2016 when it took a slight upturn before falling once again.

Chart data: Year Agriculture Dec 31, 2008 0.3099 Dec 31, 2009 0.2804 Dec 31, 2010 0.2366 Dec 31, 2011 0.2213 Dec 31, 2012 0.2045 Dec 31, 2013 0.2 Dec 31, 2014 0.2025 Dec 31, 2015 0.2098 Dec 31, 2016 0.197 Dec 31, 2017 0.1827 Dec 31, 2018 0.1731

Vega-Lite specification:
{"config": {"background": "#666", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#fbb4ae", "#b3cde3", "#ccebc5", "#decbe4", "#fed9a6", "#ffffcc", "#e5d8bd", "#fddaec", "#f2f2f2", "#b3e2cd", "#fdcdac", "#cbd5e8", "#f4cae4", "#e6f5c9", "#fff2ae", "#f1e2cc", "#cccccc"]}}, "data": {"url": "multiColumn/data/499.tsv"}, "mark": "line", "encoding": {"color": {"value": "#cbd5e8"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "Agriculture"}, "field": "Agriculture"}}, "title": ["Ghana : Share of economic sectors in the", "gross domestic product (GDP) from 2009 to", "2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Ghana's share of economic sectors in the GDP peaked in 2013-2014. After that it experienced a small dip and then continued trending upwards.

Chart data: Year Industry Dec 31, 2008 0.1851 Dec 31, 2009 0.1801 Dec 31, 2010 0.2386 Dec 31, 2011 0.2714 Dec 31, 2012 0.3486 Dec 31, 2013 0.3459 Dec 31, 2014 0.3168 Dec 31, 2015 0.2823 Dec 31, 2016 0.3039 Dec 31, 2017 0.3153 Dec 31, 2018 0.3199

Vega-Lite specification:
{"config": {"view": {"stroke": "transparent"}, "background": "transparent", "font": "Segoe UI", "header": {"titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleFontSize": 16, "titleColor": "#252423", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C"}, "axis": {"ticks": false, "grid": false, "domain": false, "labelColor": "#605E5C", "labelFontSize": 12, "titleFont": "wf_standard-font, helvetica, arial, sans-serif", "titleColor": "#252423", "titleFontSize": 16, "titleFontWeight": "normal"}, "axisQuantitative": {"tickCount": 3, "grid": true, "gridColor": "#C8C6C4", "gridDash": [1, 5], "labelFlush": false}, "axisBand": {"tickExtra": true}, "axisX": {"labelPadding": 5}, "axisY": {"labelPadding": 10}, "bar": {"fill": "#118DFF"}, "line": {"stroke": "#118DFF", "strokeWidth": 3, "strokeCap": "round", "strokeJoin": "round"}, "text": {"font": "Segoe UI", "fontSize": 12, "fill": "#605E5C"}, "area": {"fill": "#118DFF", "line": true, "opacity": 0.6}, "rect": {"fill": "#118DFF"}, "point": {"fill": "#118DFF", "filled": true, "size": 75}, "legend": {"titleFont": "Segoe UI", "titleFontWeight": "bold", "titleColor": "#605E5C", "labelFont": "Segoe UI", "labelFontSize": 13.333333333333332, "labelColor": "#605E5C", "symbolType": "circle", "symbolSize": 75}, "range": {"category": ["#118DFF", "#12239E", "#E66C37", "#6B007B", "#E044A7", "#744EC2", "#D9B300", "#D64550"], "diverging": ["#DEEFFF", "#118DFF"], "heatmap": ["#DEEFFF", "#118DFF"], "ordinal": ["#DEEFFF", "#c7e4ff", "#b0d9ff", "#9aceff", "#83c3ff", "#6cb9ff", "#55aeff", "#3fa3ff", "#2898ff", "#118DFF"]}}, "data": {"url": "multiColumn/data/499.tsv"}, "mark": "line", "encoding": {"color": {"value": "#118DFF"}, "x": {"type": "temporal", "axis": {"labelAngle": 30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Industry"}, "field": "Industry"}}, "title": ["Ghana : Share of economic sectors in the", "gross domestic product (GDP) from 2009 to", "2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}