delen/vistext huggingface dataset:
Chart description: Chuck E cheese has been extremely popular worldwide between 2007 - 2019They was a dip in revenue between 2011 -2014Revenue dipped again in 2017.

Chart data: Year Revenue in million U.S. dollars Dec 31, 2006 785.32 Dec 31, 2007 814.51 Dec 31, 2008 818.35 Dec 31, 2009 817.25 Dec 31, 2010 821.18 Dec 31, 2011 803.48 Dec 31, 2012 821.72 Dec 31, 2013 832.82 Dec 31, 2014 922.59 Dec 31, 2015 923.65 Dec 31, 2016 886.77 Dec 31, 2017 896.07 Dec 31, 2018 912.87

Vega-Lite specification:
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Chart description: from start to end there is an increase in fertility rate. this starts at 1.5 but there is a drop between 2010 and 2014 however this recovers and begins to increase.

Chart data: Year Number of born children per woman Dec 31, 2007 1.51 Dec 31, 2008 1.51 Dec 31, 2009 1.51 Dec 31, 2010 1.43 Dec 31, 2011 1.45 Dec 31, 2012 1.46 Dec 31, 2013 1.53 Dec 31, 2014 1.57 Dec 31, 2015 1.63 Dec 31, 2016 1.69 Dec 31, 2017 1.71

Vega-Lite specification:
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Chart description: In 2019 France has the highest number of fish with around 2600 fish where as Ireland has the lowest. France, Germany and the United Kingdom stand out as the three countries with the highest number of ornamental fish and Ireland, Slovakia and Slovenia with the lowest.

Chart data: Country Number of ornamental fish in thousands France 2600 Germany 1600 Italy 1500 United Kingdom 1200 Spain 815 Netherlands 769 Poland 390 Belgium 300 Austria 240 Portugal 110 Greece 85 Hungary 85 Bulgaria 72 Romania 90 Czechia 55 Slovakia 45 Slovenia 35 Ireland 24

Vega-Lite specification:
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Chart description: The life expectancy in Yemen has shown a marginal improvement in the past 10 years.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 64.89 Dec 31, 2008 65.26 Dec 31, 2009 65.55 Dec 31, 2010 65.77 Dec 31, 2011 65.92 Dec 31, 2012 66.02 Dec 31, 2013 66.07 Dec 31, 2014 66.09 Dec 31, 2015 66.09 Dec 31, 2016 66.09 Dec 31, 2017 66.1

Vega-Lite specification:
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Chart description: Life expectancy at birth raised a bit since 2008. Life expectancy has not moved since then, staying the same across the years.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 64.89 Dec 31, 2008 65.26 Dec 31, 2009 65.55 Dec 31, 2010 65.77 Dec 31, 2011 65.92 Dec 31, 2012 66.02 Dec 31, 2013 66.07 Dec 31, 2014 66.09 Dec 31, 2015 66.09 Dec 31, 2016 66.09 Dec 31, 2017 66.1

Vega-Lite specification:
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Chart description: The graph shows that life expectancy has been nearly constant from 2008-2018 in Yemen at around 65 years. The graph shows a very small increase over the ten years, although it's difficult to know if it's significant compared to possible errors in the data (not shown).

Chart data: Year Life expectancy at birth in years Dec 31, 2007 64.89 Dec 31, 2008 65.26 Dec 31, 2009 65.55 Dec 31, 2010 65.77 Dec 31, 2011 65.92 Dec 31, 2012 66.02 Dec 31, 2013 66.07 Dec 31, 2014 66.09 Dec 31, 2015 66.09 Dec 31, 2016 66.09 Dec 31, 2017 66.1

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": "data/16174.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ce6dbd"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Life expectancy at birth in years"}, "field": "Life expectancy at birth in years"}}, "title": ["Yemen : Life expectancy at birth from 2008", "to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Life expectancy has only increased very marginally in the time period. Variances in life expectancy year to year are very small.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 64.89 Dec 31, 2008 65.26 Dec 31, 2009 65.55 Dec 31, 2010 65.77 Dec 31, 2011 65.92 Dec 31, 2012 66.02 Dec 31, 2013 66.07 Dec 31, 2014 66.09 Dec 31, 2015 66.09 Dec 31, 2016 66.09 Dec 31, 2017 66.1

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": "data/16174.tsv"}, "mark": "line", "encoding": {"color": {"value": "#ce6dbd"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Life expectancy at birth in years"}, "field": "Life expectancy at birth in years"}}, "title": ["Yemen : Life expectancy at birth from 2008", "to 2018"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: As of October 2020, .com is by far the most popular top-level domain worldwide. .com represents a share of more than 0,5 of global TLD. It is followed by .ru, .org and .net. In this chart, the least popular domains are .de and .br.

Chart data: Share of global TLD Response 0.516 .com 0.063 .ru 0.045 .org 0.034 .net 0.016 .in 0.016 .ir 0.015 .au 0.015 .uk 0.014 .de 0.013 .br

Vega-Lite specification:
{"config": {"range": {"category": ["#4c78a8", "#9ecae9", "#f58518", "#ffbf79", "#54a24b", "#88d27a", "#b79a20", "#f2cf5b", "#439894", "#83bcb6", "#e45756", "#ff9d98", "#79706e", "#bab0ac", "#d67195", "#fcbfd2", "#b279a2", "#d6a5c9", "#9e765f", "#d8b5a5"]}}, "data": {"url": "data/1618.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#fcbfd2"}, "x": {"type": "quantitative", "axis": {"title": "Share of global TLD"}, "field": "Share of global TLD"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Response"}}, "title": ["Most popular top-level domains worldwide", "as of October 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The Real GDP in billion U.S. dollars in the federal state of Oklahoma, overall has a positive correlation between the year and GDP. As the year increases, the GDP increases. For example in 2000 the GDP was at 125 whereas in 2019 it became 200 billion dollars.

Chart data: Year Real GDP in billion U.S. dollars Dec 31, 1999 124.11 Dec 31, 2000 128.72 Dec 31, 2001 131.08 Dec 31, 2002 133.08 Dec 31, 2003 137.44 Dec 31, 2004 143.07 Dec 31, 2005 152.66 Dec 31, 2006 155.46 Dec 31, 2007 161.36 Dec 31, 2008 159.24 Dec 31, 2009 159.23 Dec 31, 2010 165.15 Dec 31, 2011 173.48 Dec 31, 2012 177.6 Dec 31, 2013 187.74 Dec 31, 2014 195.9 Dec 31, 2015 190.11 Dec 31, 2016 191.54 Dec 31, 2017 196.52 Dec 31, 2018 201.31

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/16192.tsv"}, "mark": "area", "encoding": {"color": {"value": "#999999"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Real GDP in billion U.S. dollars"}, "field": "Real GDP in billion U\\.S\\. dollars"}}, "title": ["Real Gross Domestic Product (GDP) of the", "federal state of Oklahoma from 2000 to 2019", "(in billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Oklahoma's GDP has steadily increased between 2000 and 2019 going from 125bn$ to 201bn$.

Chart data: Year Real GDP in billion U.S. dollars Dec 31, 1999 124.11 Dec 31, 2000 128.72 Dec 31, 2001 131.08 Dec 31, 2002 133.08 Dec 31, 2003 137.44 Dec 31, 2004 143.07 Dec 31, 2005 152.66 Dec 31, 2006 155.46 Dec 31, 2007 161.36 Dec 31, 2008 159.24 Dec 31, 2009 159.23 Dec 31, 2010 165.15 Dec 31, 2011 173.48 Dec 31, 2012 177.6 Dec 31, 2013 187.74 Dec 31, 2014 195.9 Dec 31, 2015 190.11 Dec 31, 2016 191.54 Dec 31, 2017 196.52 Dec 31, 2018 201.31

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/16192.tsv"}, "mark": "area", "encoding": {"color": {"value": "#999999"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Real GDP in billion U.S. dollars"}, "field": "Real GDP in billion U\\.S\\. dollars"}}, "title": ["Real Gross Domestic Product (GDP) of the", "federal state of Oklahoma from 2000 to 2019", "(in billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: As the quarters go for each year, the number of subscribers increases. The most is Q4 for 2014 with almost 5 million subscribers and the least is Q1 for 2012, the first lowest from 4 million as compared to its second quarter.

Chart data: IPTV subscribers in millions Quarter 4.8 Q4 '14 4.7 Q3 '14 4.6 Q2 '14 4.5 Q1 '14 4.3 Q4 '13 4.06 Q2 '13 4.43 Q1 '13 4.27 Q4 '12 4.13 Q3 '12 3.92 Q2 '12 3.81 Q1 '12

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/16199.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#adc839"}, "x": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "IPTV subscribers in millions"}, "field": "IPTV subscribers in millions"}, "y": {"type": "nominal", "axis": {"labelAngle": 60}, "bin": false, "field": "Quarter"}}, "title": ["Number of IPTV subscribers in Japan from", "1st quarter 2012 to 4th quarter 2014 (in", "millions)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: From 2011 to 2017 there is a continued increase annually of Average annual expenditure on small appliances within US households. From 2007 until 2012 every other year saw a decrease in annual expenditure on small appliances within US households. The annual expenditure from 2007 to 2019 consistently remains above $80. There are only 4 years presented when the annual expenditure is below $100.

Chart data: Year Average annual expenditure in U.S. dollars Dec 31, 2006 101.07 Dec 31, 2007 112.89 Dec 31, 2008 93.41 Dec 31, 2009 106.51 Dec 31, 2010 89.34 Dec 31, 2011 97.88 Dec 31, 2012 100.43 Dec 31, 2013 105.77 Dec 31, 2014 117.5 Dec 31, 2015 123.15 Dec 31, 2016 130.67 Dec 31, 2017 118.42 Dec 31, 2018 118.69

Vega-Lite specification:
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Chart description: The lowest share in GDP is 2021 and 2022 at approximately 0.0095. The highest share in GDP is in 2018 and 2019 at 0.010.

Chart data: Year Share in global GDP adjusted for PPP 2025* 0.0098 2024* 0.0097 2023* 0.0097 2022* 0.0096 2021* 0.0096 2020* 0.0097 2019* 0.01 2018 0.01 2017 0.0099 2016 0.0099 2015 0.0098

Vega-Lite specification:
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Chart description: Ghana the imported the highest value of used clothes from the UK in 2019 at 80,000 U.S dollars. Both Ghana and Pakistan imported over 60,000 dollars of used clothes from the UK. Poland and Nigeria imported the same amount of used clothes from the UK in 2019. 11 of the 20 countries imported less than 20,000 dollars of exported used clothes from the UK.

Chart data: Export value in thousand U.S dollars Country 90086 Ghana 65900 Pakistan 54483 Nigeria 53973 Poland 47451 Ukraine 37473 Hungary 30418 UAE 17232 Latvia 13913 Lithuania 11659 Benin 11388 Togo 6286 Côte d'Ivoire 4992 Jordan 4228 Czechia 4213 Kenya 4213 Turkey 3445 Malta 1958 Netherlands 1513 Tunisia 1273 India

Vega-Lite specification:
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Chart description: Of 20 countries exported to, most UK used clothes are sent to Ghana followed by Nigeria, Pakistan, Poland and Ukraine.

Chart data: Export value in thousand U.S dollars Country 90086 Ghana 65900 Pakistan 54483 Nigeria 53973 Poland 47451 Ukraine 37473 Hungary 30418 UAE 17232 Latvia 13913 Lithuania 11659 Benin 11388 Togo 6286 Côte d'Ivoire 4992 Jordan 4228 Czechia 4213 Kenya 4213 Turkey 3445 Malta 1958 Netherlands 1513 Tunisia 1273 India

Vega-Lite specification:
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Chart description: Urban population in Bosnia and Herzegovinan has not changed by much from 2010 to 2018.

Chart data: Year Urban population (share of total) Dec 31, 2008 0.4524 Dec 31, 2009 0.4556 Dec 31, 2010 0.4588 Dec 31, 2011 0.462 Dec 31, 2012 0.4652 Dec 31, 2013 0.4684 Dec 31, 2014 0.4717 Dec 31, 2015 0.4752 Dec 31, 2016 0.4788 Dec 31, 2017 0.4825 Dec 31, 2018 0.4863

Vega-Lite specification:
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Chart description: Although we cannot see all of the text on the x-axis it is clear there is a wide range of fews to be had on the subject of exercise. This is clear through the spread fo data across the ten options.  Only one option had clearly less input than the others starting "I sometimes exercise purely so that I c...".

Chart data: Response Share of respondents I know I should exercise more but I find it boring/hard work 0.59 I sometimes tell myself that I am exercising by doing household chores e.g. hoovering, cleaning 0.55 I find it more difficult to exercise in the winter/darker months 0.53 I don't always enjoy exercising but I make sure I do it for the health benefits 0.47 I'm too tired to exercise 0.43 I don't know how much exercise I should be doing 0.42 I struggle to find the time to exercise 0.41 I'm not too bothered about exercising, as look as I look/feel good 0.29 I sometimes exercise purely so I can eat more/because I've overeaten 0.16 I really enjoy exercising, it's an important part of my routine 0.39

Vega-Lite specification:
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Chart description: The percentage of refugee status claims that were approved was generally in a downward trend until 2012. The period 2012 to 2014 saw a sharper increase in approved claims to just above the year 2000 level.

Chart data: Year Percent of claims accepted Dec 31, 1999 0.48 Dec 31, 2000 0.47 Dec 31, 2001 0.47 Dec 31, 2002 0.42 Dec 31, 2003 0.4 Dec 31, 2004 0.44 Dec 31, 2005 0.47 Dec 31, 2006 0.43 Dec 31, 2007 0.42 Dec 31, 2008 0.42 Dec 31, 2009 0.38 Dec 31, 2010 0.38 Dec 31, 2011 0.35 Dec 31, 2012 0.38 Dec 31, 2013 0.49

Vega-Lite specification:
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Chart description: The graph shows that between 2000 and 2004 the per cent of claims accepted decreased. The graph shows that between 2004 and 2006 the per cent of claims accepted increased. Between 2006 and 2012 the per cent of claims decreased. Then between 2012 and 2014 the per cent of claims increased significantly. The graph shows that the percentage of refugee status claims accepted has never been less than 0.35.

Chart data: Year Percent of claims accepted Dec 31, 1999 0.48 Dec 31, 2000 0.47 Dec 31, 2001 0.47 Dec 31, 2002 0.42 Dec 31, 2003 0.4 Dec 31, 2004 0.44 Dec 31, 2005 0.47 Dec 31, 2006 0.43 Dec 31, 2007 0.42 Dec 31, 2008 0.42 Dec 31, 2009 0.38 Dec 31, 2010 0.38 Dec 31, 2011 0.35 Dec 31, 2012 0.38 Dec 31, 2013 0.49

Vega-Lite specification:
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Chart description: GDP growth is very sporadic and although there is growth in the vast majority of years the levels can vary up to 0.08%Growth has been negative for 2 periods one being 2001 and another being 2008. Its highest change in growth rate was 2010.

Chart data: Year Percent change compared to preceding period Dec 31, 1999 0.055 Dec 31, 2000 0.007 Dec 31, 2001 0.038 Dec 31, 2002 0.052 Dec 31, 2003 0.06 Dec 31, 2004 0.029 Dec 31, 2005 0.048 Dec 31, 2006 0.053 Dec 31, 2007 0.015 Dec 31, 2008 −0.043 Dec 31, 2009 0.073 Dec 31, 2010 0.03 Dec 31, 2011 0.041 Dec 31, 2012 0.037 Dec 31, 2013 0.053 Dec 31, 2014 0.014 Dec 31, 2015 0.023 Dec 31, 2016 0.039 Dec 31, 2017 0.051 Dec 31, 2018 0.031

Vega-Lite specification:
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Chart description: The perentage change dropped considerably in 2009, which was the lowest year it dropped. But it rose back up the highest in 2010 to 0.08.

Chart data: Year Percent change compared to preceding period Dec 31, 1999 0.055 Dec 31, 2000 0.007 Dec 31, 2001 0.038 Dec 31, 2002 0.052 Dec 31, 2003 0.06 Dec 31, 2004 0.029 Dec 31, 2005 0.048 Dec 31, 2006 0.053 Dec 31, 2007 0.015 Dec 31, 2008 −0.043 Dec 31, 2009 0.073 Dec 31, 2010 0.03 Dec 31, 2011 0.041 Dec 31, 2012 0.037 Dec 31, 2013 0.053 Dec 31, 2014 0.014 Dec 31, 2015 0.023 Dec 31, 2016 0.039 Dec 31, 2017 0.051 Dec 31, 2018 0.031

Vega-Lite specification:
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Chart description: The line graph shows that the percent change in real GDP has varied over the time period. The percent change has been above zero other than in one year, 2009. For all other years, it has been between 0 and 0.08 percent change.

Chart data: Year Percent change compared to preceding period Dec 31, 1999 0.055 Dec 31, 2000 0.007 Dec 31, 2001 0.038 Dec 31, 2002 0.052 Dec 31, 2003 0.06 Dec 31, 2004 0.029 Dec 31, 2005 0.048 Dec 31, 2006 0.053 Dec 31, 2007 0.015 Dec 31, 2008 −0.043 Dec 31, 2009 0.073 Dec 31, 2010 0.03 Dec 31, 2011 0.041 Dec 31, 2012 0.037 Dec 31, 2013 0.053 Dec 31, 2014 0.014 Dec 31, 2015 0.023 Dec 31, 2016 0.039 Dec 31, 2017 0.051 Dec 31, 2018 0.031

Vega-Lite specification:
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Chart description: it would seem that it has been a minor inconsistency apart from the year 2010 when there was a massive downturn.

Chart data: Year Percent change compared to preceding period Dec 31, 1999 0.055 Dec 31, 2000 0.007 Dec 31, 2001 0.038 Dec 31, 2002 0.052 Dec 31, 2003 0.06 Dec 31, 2004 0.029 Dec 31, 2005 0.048 Dec 31, 2006 0.053 Dec 31, 2007 0.015 Dec 31, 2008 −0.043 Dec 31, 2009 0.073 Dec 31, 2010 0.03 Dec 31, 2011 0.041 Dec 31, 2012 0.037 Dec 31, 2013 0.053 Dec 31, 2014 0.014 Dec 31, 2015 0.023 Dec 31, 2016 0.039 Dec 31, 2017 0.051 Dec 31, 2018 0.031

Vega-Lite specification:
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Chart description: As you can see throughout and the beginning of the year 2000 the deaths did increase, this is most likely due to when dealers where selling MDMA claiming to be 'Plant Food' Generally this would make sense to increase as the internet was getting larger and more usage at this point. This was stable until  a large decline in 2010 most likely to having more of a control of the supply. One of the trends that stand out is that you can see the increase of deaths from MDMA at each peak of the internet becoming more and more popular, you can come to a conclusion its bought online by younger people.

Chart data: Year Number of deaths Dec 31, 1992 12 Dec 31, 1993 20 Dec 31, 1994 17 Dec 31, 1995 16 Dec 31, 1996 15 Dec 31, 1997 17 Dec 31, 1998 21 Dec 31, 1999 28 Dec 31, 2000 55 Dec 31, 2001 56 Dec 31, 2002 50 Dec 31, 2003 43 Dec 31, 2004 58 Dec 31, 2005 48 Dec 31, 2006 47 Dec 31, 2007 44 Dec 31, 2008 27 Dec 31, 2009 8 Dec 31, 2010 13 Dec 31, 2011 31 Dec 31, 2012 43 Dec 31, 2013 50 Dec 31, 2014 57 Dec 31, 2015 63 Dec 31, 2016 56 Dec 31, 2017 92 Dec 31, 2018 78

Vega-Lite specification:
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Chart description: The visualisation shows that Austria produced over 1500 hectolitres in 2010 but the chart doesn’t show any stats for the other years and doesn’t explain what the asterisks mean.

Chart data: Year Volume in thousand hectoliters 2019** 2.5 2018* 2.8 2017 2.5 2016 2 2015 2.3 2014 2 2013 2.4 2012 2.1 2011 2.8 2010 1737

Vega-Lite specification:
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Chart description: Life expectancy at birth had been steadily rising from 60 to 63 years for the years 2008 to 2016.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 60.22 Dec 31, 2008 60.65 Dec 31, 2009 61.03 Dec 31, 2010 61.38 Dec 31, 2011 61.72 Dec 31, 2012 62.06 Dec 31, 2013 62.42 Dec 31, 2014 62.77 Dec 31, 2015 63.12 Dec 31, 2016 63.46 Dec 31, 2017 63.78

Vega-Lite specification:
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Chart description: The fertility rate for Libya fell from 2.5 to 2.25 between 2008 and 2018. The rate is decreasing at a slowly increasing rate; it is not steady.

Chart data: Year Number of born children per woman Dec 31, 2007 2.49 Dec 31, 2008 2.49 Dec 31, 2009 2.48 Dec 31, 2010 2.47 Dec 31, 2011 2.45 Dec 31, 2012 2.42 Dec 31, 2013 2.39 Dec 31, 2014 2.36 Dec 31, 2015 2.32 Dec 31, 2016 2.28 Dec 31, 2017 2.24

Vega-Lite specification:
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Chart description: The fertility rate between 2008 to 2018 has declined.  The average woman giving birth to just over 2 children..

Chart data: Year Number of born children per woman Dec 31, 2007 2.49 Dec 31, 2008 2.49 Dec 31, 2009 2.48 Dec 31, 2010 2.47 Dec 31, 2011 2.45 Dec 31, 2012 2.42 Dec 31, 2013 2.39 Dec 31, 2014 2.36 Dec 31, 2015 2.32 Dec 31, 2016 2.28 Dec 31, 2017 2.24

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