delen/vistext huggingface dataset:
Chart description: Most stores selling carpets and rugs in the UK turn over between 100 million and 250 million. The second largest number of store turn over between 250 million and 500 million.

Chart data: Turnover in GBP Number of enterprises* £0 - £49,999 125 £50,000 - £99,999 475 £100,000 - £249,999 1360 £250,000 - £499,999 925 £500,000 - £999,999 615 £1 million - £1.999 million 230 £2 million - £4.999 million 105 £5 million - £9.999 million 20 £10 million - £49.999 million 10 £50 million + 0

Vega-Lite specification:
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Chart description: The number of house fires caused by burning Christmas trees in the United States has decreased from almost 400 in 2000 to less than 200 in 2015. It's not a linear decline; it goes up and down.

Chart data: Year Number of fires Dec 31, 1999 380 Dec 31, 2000 290 Dec 31, 2001 270 Dec 31, 2002 210 Dec 31, 2003 270 Dec 31, 2004 230 Dec 31, 2005 260 Dec 31, 2006 280 Dec 31, 2007 240 Dec 31, 2008 190 Dec 31, 2009 210 Dec 31, 2010 250 Dec 31, 2011 220 Dec 31, 2012 180 Dec 31, 2013 170 Dec 31, 2014 170

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/15740.tsv"}, "mark": "area", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of fires"}, "field": "Number of fires"}}, "title": ["Number of house fires caused by burning", "Christmas trees in the United States from", "2000 to 2015"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In 2000 there was a very high number of fires caused by Christmas trees but overall, over time, the numbers have been dropping.

Chart data: Year Number of fires Dec 31, 1999 380 Dec 31, 2000 290 Dec 31, 2001 270 Dec 31, 2002 210 Dec 31, 2003 270 Dec 31, 2004 230 Dec 31, 2005 260 Dec 31, 2006 280 Dec 31, 2007 240 Dec 31, 2008 190 Dec 31, 2009 210 Dec 31, 2010 250 Dec 31, 2011 220 Dec 31, 2012 180 Dec 31, 2013 170 Dec 31, 2014 170

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/15740.tsv"}, "mark": "area", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of fires"}, "field": "Number of fires"}}, "title": ["Number of house fires caused by burning", "Christmas trees in the United States from", "2000 to 2015"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The number of fires caused by burning Christmas trees has decreased over the time period shown. 2000 saw the most fires caused out of any year represented.

Chart data: Year Number of fires Dec 31, 1999 380 Dec 31, 2000 290 Dec 31, 2001 270 Dec 31, 2002 210 Dec 31, 2003 270 Dec 31, 2004 230 Dec 31, 2005 260 Dec 31, 2006 280 Dec 31, 2007 240 Dec 31, 2008 190 Dec 31, 2009 210 Dec 31, 2010 250 Dec 31, 2011 220 Dec 31, 2012 180 Dec 31, 2013 170 Dec 31, 2014 170

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/15740.tsv"}, "mark": "area", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of fires"}, "field": "Number of fires"}}, "title": ["Number of house fires caused by burning", "Christmas trees in the United States from", "2000 to 2015"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The general trend shows a reduction in fires since between 2000 and 2015. Fires increased compared to the previous year in years 2004, 2006, 2007, 2010 and 2011.

Chart data: Year Number of fires Dec 31, 1999 380 Dec 31, 2000 290 Dec 31, 2001 270 Dec 31, 2002 210 Dec 31, 2003 270 Dec 31, 2004 230 Dec 31, 2005 260 Dec 31, 2006 280 Dec 31, 2007 240 Dec 31, 2008 190 Dec 31, 2009 210 Dec 31, 2010 250 Dec 31, 2011 220 Dec 31, 2012 180 Dec 31, 2013 170 Dec 31, 2014 170

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/15740.tsv"}, "mark": "area", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "temporal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of fires"}, "field": "Number of fires"}}, "title": ["Number of house fires caused by burning", "Christmas trees in the United States from", "2000 to 2015"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The highest number of drug-related offences in Canada was in 2011 and it was around 115000.  Since then number is significantly lower every year. In current year this number is round 70000 which is the lowest number ever since.

Chart data: Year Number of offences Dec 31, 1999 88091 Dec 31, 2000 89395 Dec 31, 2001 92781 Dec 31, 2002 86791 Dec 31, 2003 97630 Dec 31, 2004 93664 Dec 31, 2005 96175 Dec 31, 2006 101208 Dec 31, 2007 102271 Dec 31, 2008 97963 Dec 31, 2009 109222 Dec 31, 2010 113345 Dec 31, 2011 110093 Dec 31, 2012 109091 Dec 31, 2013 104518 Dec 31, 2014 99827 Dec 31, 2015 96515 Dec 31, 2016 92986 Dec 31, 2017 84927 Dec 31, 2018 70140

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/15742.tsv"}, "mark": "line", "encoding": {"color": {"value": "#7570b3"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Number of offences"}, "field": "Number of offences"}}, "title": ["Number of drug-related offences in Canada", "from 2000 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The older films are more popular.  There are four that acre the highest.

Chart data: Share of respondents Response 0.74 Snow White and the Seven Dwarves 0.61 Aladdin 0.6 Sleeping Beauty 0.6 Cinderella (1950 animated version) 0.51 Frozen 0.51 Beauty and the Beast (1991 animated version) 0.43 The Little Mermaid 0.38 Pocahontas 0.33 Tangled 0.33 Brave 0.29 Mulan 0.23 Moana 0.21 The Princess and the Frog

Vega-Lite specification:
{"config": {"background": "#FFFFFF", "title": {"anchor": "start", "fontSize": 18, "font": "Lato"}, "axisX": {"domain": true, "domainColor": "#000000", "domainWidth": 1, "grid": false, "labelFontSize": 12, "labelFont": "Lato", "tickColor": "#000000", "tickSize": 5, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato"}, "axisY": {"domain": false, "domainWidth": 1, "grid": true, "gridColor": "#DEDDDD", "gridWidth": 1, "labelFontSize": 12, "labelFont": "Lato", "labelPadding": 8, "ticks": false, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato", "titleAngle": 0, "titleY": -10, "titleX": 18}, "legend": {"labelFontSize": 12, "labelFont": "Lato", "symbolSize": 100, "titleFontSize": 12, "titlePadding": 10, "titleFont": "Lato", "orient": "right", "offset": 10}, "view": {"stroke": "transparent"}, "range": {"category": ["#1696d2", "#ec008b", "#fdbf11", "#000000", "#d2d2d2", "#55b748"], "diverging": ["#ca5800", "#fdbf11", "#fdd870", "#fff2cf", "#cfe8f3", "#73bfe2", "#1696d2", "#0a4c6a"], "heatmap": ["#ca5800", "#fdbf11", "#fdd870", "#fff2cf", "#cfe8f3", "#73bfe2", "#1696d2", "#0a4c6a"], "ordinal": ["#cfe8f3", "#a2d4ec", "#73bfe2", "#46abdb", "#1696d2", "#12719e"], "ramp": ["#CFE8F3", "#A2D4EC", "#73BFE2", "#46ABDB", "#1696D2", "#12719E", "#0A4C6A", "#062635"]}, "area": {"fill": "#1696d2"}, "rect": {"fill": "#1696d2"}, "line": {"color": "#1696d2", "stroke": "#1696d2", "strokeWidth": 5}, "trail": {"color": "#1696d2", "stroke": "#1696d2", "strokeWidth": 0, "size": 1}, "point": {"color": "#1696d2", "size": 30}, "text": {"font": "Lato", "color": "#1696d2", "fontSize": 11, "align": "center", "fontWeight": 400, "size": 11}, "style": {"bar": {"fill": "#1696d2", "stroke": null}}}, "data": {"url": "data/15750.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#000000"}, "x": {"type": "quantitative", "axis": {"title": "Share of respondents"}, "field": "Share of respondents"}, "y": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}}, "title": ["Which , if any , of the following Disney", "princess movies have you ever watched ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: 2004 was the quietest year making just below 1,500,000 usd. 2011 was their best year making just over 2,500,000 usd. Can notice after 2011, oranges production value slowly decreases.

Chart data: Value in thousand U.S. dollars Year 1666100 1999/2000 1682790 2000/2001 1846199 2001/2002 1564658 2002/2003 1774453 2003/2004 1475381 2004/2005 1829860 2005/2006 2216471 2006/2007 2198828 2007/2008 1970070 2008/2009 1997188 2009/2010 2230412 2010/2011 2621620 2011/2012 2073638 2012/2013 2254303 2013/2014 1963353 2014/2015 1927270 2015/2016 1943678 2016/2017 1830445 2017/2018 1704399 2018/2019

Vega-Lite specification:
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Chart description: The Bar chart of the Boston Celtics operating income shows that annual income has steadily risen from just under 20 million in 2001/2002 peaking at 100 million in 2017/2018.  Declining slightly in 2019/2020.

Chart data: Operating income in million U.S. dollars Year 88 18/19 100 17/18 85 16/17 60.1 15/16 57.4 14/15 54.9 13/14 46.8 12/13 18.7 11/12 7.7 10/11 4.2 09/10 12.9 08/09 20.1 07/08 18.3 06/07 15.7 05/06 25.4 04/05 8.4 03/04 25.6 02/03 17.4 01/02

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/15762.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#8aa453"}, "x": {"type": "quantitative", "axis": {"title": "Operating income in million U.S. dollars"}, "field": "Operating income in million U\\.S\\. dollars"}, "y": {"type": "nominal", "axis": {"labelAngle": -45}, "bin": false, "field": "Year"}}, "title": ["Boston Celtics operating income from 2001/02", "to 2018/19 (in million U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In Boston celtics the number of clinic income was highest in 2017/18,while 2009/10 was the lowest year of income.

Chart data: Operating income in million U.S. dollars Year 88 18/19 100 17/18 85 16/17 60.1 15/16 57.4 14/15 54.9 13/14 46.8 12/13 18.7 11/12 7.7 10/11 4.2 09/10 12.9 08/09 20.1 07/08 18.3 06/07 15.7 05/06 25.4 04/05 8.4 03/04 25.6 02/03 17.4 01/02

Vega-Lite specification:
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Chart description: The Dal-tile is definitely the most popular, selling way more than other types on the chart.

Chart data: Brand Share of respondents Dal-Tile 0.44 American Olsen 0.104 Shaw 0.075 American Marazzi 0.067 Florida Tile 0.067 Emsaer Tile 0.037 Crossville 0.03 Monarch Tile 0.015 Ann Sack Tile 0.007 Jeffrey Court 0.007 Arizona Tile 0.007 Porcelanosa 0.007 None of these 0.134

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/15771.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#703c5c"}, "x": {"type": "nominal", "axis": {"labelAngle": -90}, "bin": false, "field": "Brand"}, "y": {"type": "quantitative", "axis": {"title": "Share of respondents"}, "field": "Share of respondents"}}, "title": ["Brand of ceramic tiles used the most by", "construction firms in the United States in", "2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Health expenditure was lowest in Indonesia in 2008, and highest in 2014 and 2016.

Chart data: Year Health expenditure as a share of GDP Dec 31, 2006 0.0288 Dec 31, 2007 0.0261 Dec 31, 2008 0.0268 Dec 31, 2009 0.0296 Dec 31, 2010 0.0296 Dec 31, 2011 0.029 Dec 31, 2012 0.0296 Dec 31, 2013 0.0312 Dec 31, 2014 0.0301 Dec 31, 2015 0.0312 Dec 31, 2016 0.0299

Vega-Lite specification:
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Chart description: Mortality has reduced during the last 8 years. It has been in steady decline during the monitored period.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 3.1 Dec 31, 2009 2.9 Dec 31, 2010 2.8 Dec 31, 2011 2.6 Dec 31, 2012 2.5 Dec 31, 2013 2.3 Dec 31, 2014 2.2 Dec 31, 2015 2.1 Dec 31, 2016 2 Dec 31, 2017 1.9 Dec 31, 2018 1.8

Vega-Lite specification:
{"config": {"background": "#000", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#7fc97f", "#beaed4", "#fdc086", "#ffff99", "#386cb0", "#f0027f", "#bf5b17", "#666666"]}}, "data": {"url": "data/15780.tsv"}, "mark": "area", "encoding": {"color": {"value": "#386cb0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Deaths per 1,000 live births"}, "field": "Deaths per 1,000 live births"}}, "title": ["Cyprus : Infant mortality rate from 2009", "to 2019 (in deaths per 1,000 live births)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There seems to be a very steady decline in births between 2008 and 2016, there looks to be about 2-3000 difference.

Chart data: Year Birth rate per thousand population Dec 31, 2007 18.25 Dec 31, 2008 18.06 Dec 31, 2009 17.84 Dec 31, 2010 17.59 Dec 31, 2011 17.34 Dec 31, 2012 17.09 Dec 31, 2013 16.85 Dec 31, 2014 16.61 Dec 31, 2015 16.36 Dec 31, 2016 16.11 Dec 31, 2017 15.83

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/15782.tsv"}, "mark": "area", "encoding": {"color": {"value": "#00796B"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Birth rate per thousand population"}, "field": "Birth rate per thousand population"}}, "title": ["Sri Lanka : Birth rate from 2008 to 2018", "(per 1,000 inhabitants)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In 2009, the population growth was at its lowest for the period reporting.

Chart data: Year Population growth Dec 31, 2008 0.011 Dec 31, 2009 0.0114 Dec 31, 2010 0.0118 Dec 31, 2011 0.0121 Dec 31, 2012 0.0124 Dec 31, 2013 0.0128 Dec 31, 2014 0.0132 Dec 31, 2015 0.0136 Dec 31, 2016 0.0139 Dec 31, 2017 0.0139 Dec 31, 2018 0.0135

Vega-Lite specification:
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Chart description: In 2009 the population growth grew from 0.011 to the highest peak of 0.014 in 2017. It started to decline in 2019.

Chart data: Year Population growth Dec 31, 2008 0.011 Dec 31, 2009 0.0114 Dec 31, 2010 0.0118 Dec 31, 2011 0.0121 Dec 31, 2012 0.0124 Dec 31, 2013 0.0128 Dec 31, 2014 0.0132 Dec 31, 2015 0.0136 Dec 31, 2016 0.0139 Dec 31, 2017 0.0139 Dec 31, 2018 0.0135

Vega-Lite specification:
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Chart description: WIthin the above chart we can see a decline of sales from 2008 to 2010 followed by a steady recovery of the market from 2010 to 2018.

Chart data: Year Number of enterprises Dec 31, 2007 609 Dec 31, 2008 479 Dec 31, 2009 546 Dec 31, 2010 611 Dec 31, 2011 659 Dec 31, 2012 723 Dec 31, 2013 742 Dec 31, 2014 849 Dec 31, 2015 901 Dec 31, 2016 943 Dec 31, 2017 972

Vega-Lite specification:
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Chart description: Brazil is able to export more than 3 countries amount of exports for essential oils to Europe, beating, Italy, Germany and France to supply more essential oils to the continent than just are able to supply themselves.

Chart data: Response Share of export volume Brazil 0.17 Netherlands 0.14 USA 0.08 China 0.07 Germany 0.06 France 0.06 India 0.06 United Kingdom 0.04 Italy 0.04 Other Europe 0.12 Other non-EU 0.17

Vega-Lite specification:
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Chart description: Infant mortality rates have slightly decreased between 1990 and 2018. In 1990 there were almost 10 in 1000, and in 2018 this decreased to less than 6. You would expect the rates to continue to go down steadily over the coming years.

Chart data: Year Infant mortality rate per thousand live births Dec 31, 1989 9.4 Dec 31, 1990 9.1 Dec 31, 1991 8.8 Dec 31, 1992 8.5 Dec 31, 1993 8.2 Dec 31, 1994 8 Dec 31, 1995 7.7 Dec 31, 1996 7.5 Dec 31, 1997 7.3 Dec 31, 1998 7.2 Dec 31, 1999 7.1 Dec 31, 2000 7 Dec 31, 2001 6.9 Dec 31, 2002 6.9 Dec 31, 2003 6.9 Dec 31, 2004 6.8 Dec 31, 2005 6.7 Dec 31, 2006 6.6 Dec 31, 2007 6.5 Dec 31, 2008 6.4 Dec 31, 2009 6.2 Dec 31, 2010 6.1 Dec 31, 2011 6.1 Dec 31, 2012 6 Dec 31, 2013 5.9 Dec 31, 2014 5.8 Dec 31, 2015 5.7 Dec 31, 2016 5.7 Dec 31, 2017 5.6

Vega-Lite specification:
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Chart description: The number of internet users has increased consistently year on year since 2015 and is projected to do so up to 2025. The rate of increase is slowing. By 2025 there are expected to be almost 300 million internet users.

Chart data: Number of internet users in millions Year 296.73 2025* 294.51 2024* 292.17 2023 289.67 2022* 286.98 2021* 284.05 2020 280.86 2019 277.35 2018 273.46 2017 269.14 2016 264.31 2015

Vega-Lite specification:
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Chart description: Overall the number of lacrosse participants is increasing. From 2006 to 20118 the number of lacrosse participants has more than doubled.

Chart data: Year Number of participants in millions Dec 31, 2005 0.87 Dec 31, 2006 1.06 Dec 31, 2007 1.13 Dec 31, 2008 1.2 Dec 31, 2009 1.65 Dec 31, 2010 1.35 Dec 31, 2011 1.86 Dec 31, 2012 1.81 Dec 31, 2013 2.01 Dec 31, 2014 2.09 Dec 31, 2015 2.09 Dec 31, 2016 2.17 Dec 31, 2017 2.1

Vega-Lite specification:
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Chart description: Participation in Lacrosse in the United States has doubled in 10 years since 2006.

Chart data: Year Number of participants in millions Dec 31, 2005 0.87 Dec 31, 2006 1.06 Dec 31, 2007 1.13 Dec 31, 2008 1.2 Dec 31, 2009 1.65 Dec 31, 2010 1.35 Dec 31, 2011 1.86 Dec 31, 2012 1.81 Dec 31, 2013 2.01 Dec 31, 2014 2.09 Dec 31, 2015 2.09 Dec 31, 2016 2.17 Dec 31, 2017 2.1

Vega-Lite specification:
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Chart description: From 1990 there is a steady decrease in divorce rates from approx 11 per thousand inhabitants until 2018 where it reaches a low of 4 per thousand inhabitants. however the anomaly lies in 2000 where divorce rates reach just under 10 per thousand inhabitants so nearly reach the highest.

Chart data: Year Divorce rate per thousand inhabitants Dec 31, 1989 11.4 Dec 31, 1994 7.8 Dec 31, 1998 7.8 Dec 31, 1999 9.9 Dec 31, 2000 6.3 Dec 31, 2001 7.1 Dec 31, 2002 7.3 Dec 31, 2003 6.3 Dec 31, 2004 7.4 Dec 31, 2005 6.7 Dec 31, 2006 6.4 Dec 31, 2007 6.4 Dec 31, 2008 6.6 Dec 31, 2009 5.9 Dec 31, 2010 5.6 Dec 31, 2011 5.5 Dec 31, 2012 5.1 Dec 31, 2013 5.3 Dec 31, 2014 4.6 Dec 31, 2015 4.3 Dec 31, 2016 4.5 Dec 31, 2017 4.4

Vega-Lite specification:
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Chart description: Number registered has increased steadily over the time period.

Chart data: Year Number of registered motorcycles Dec 31, 1999 38788 Dec 31, 2000 41899 Dec 31, 2001 44161 Dec 31, 2002 47452 Dec 31, 2003 52014 Dec 31, 2004 55606 Dec 31, 2005 58543 Dec 31, 2006 62567 Dec 31, 2007 65161 Dec 31, 2008 70440 Dec 31, 2009 71846 Dec 31, 2010 76205 Dec 31, 2011 79320 Dec 31, 2012 82977 Dec 31, 2013 87571 Dec 31, 2014 92224 Dec 31, 2015 97190 Dec 31, 2016 100982 Dec 31, 2017 106278 Dec 31, 2018 110382

Vega-Lite specification:
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Chart description: The general trend was for the number of refugees to increase year on year during the entire year, with a small dip in 2016. The rate of increase from 2010 through to 2014 was fairly modest with numbers starting at 80,000 and going to 100,000. There was a dip to 90,000 in 2016, followed by massive year on year increases with numbers reaching 125,000 in 2019.

Chart data: Year Number of refugees in thousands Dec 31, 2009 81.52 Dec 31, 2010 86.68 Dec 31, 2011 90.17 Dec 31, 2012 97.5 Dec 31, 2013 99.37 Dec 31, 2014 94.16 Dec 31, 2015 92.26 Dec 31, 2016 103.84 Dec 31, 2017 121.31 Dec 31, 2018 129.11

Vega-Lite specification:
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Chart description: The number of refugees steadily increased from 2010 to 2019.

Chart data: Year Number of refugees in thousands Dec 31, 2009 81.52 Dec 31, 2010 86.68 Dec 31, 2011 90.17 Dec 31, 2012 97.5 Dec 31, 2013 99.37 Dec 31, 2014 94.16 Dec 31, 2015 92.26 Dec 31, 2016 103.84 Dec 31, 2017 121.31 Dec 31, 2018 129.11

Vega-Lite specification:
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Chart description: We can observe that the refugee population in Malaysia rised significantly since 2016.

Chart data: Year Number of refugees in thousands Dec 31, 2009 81.52 Dec 31, 2010 86.68 Dec 31, 2011 90.17 Dec 31, 2012 97.5 Dec 31, 2013 99.37 Dec 31, 2014 94.16 Dec 31, 2015 92.26 Dec 31, 2016 103.84 Dec 31, 2017 121.31 Dec 31, 2018 129.11

Vega-Lite specification:
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