delen/vistext huggingface dataset:
Chart description: In 2010 the cobalt consumption in the US was around 10,000 metric tonnes. Although dropping very slightly to just over 8000 tonnes in the next 5 years it remained fairly steady before leaping to over 11000 in 2016. It then dropped to under 8000 in 2018 and then jumped up dramatically to over 12000 in 2019.

Chart data: Apparent (includes secondary) Year 12400 2019* 7580 2018 8920 2017 11500 2016 10300 2015 8710 2014 8650 2013 9540 2012 9230 2011 10300 2010

Vega-Lite specification:
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Chart description: The Colbalt consumption in the US has fluctuated between about 7 to 13 thousand metric tons between 2010 and 2019.

Chart data: Apparent (includes secondary) Year 12400 2019* 7580 2018 8920 2017 11500 2016 10300 2015 8710 2014 8650 2013 9540 2012 9230 2011 10300 2010

Vega-Lite specification:
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Chart description: from the year 2010 to the year 2016 the age structure in Iceland has been consisten until the year 2018 where it start to slowly descend from its average 0.2.

Chart data: Year 0-14 years Dec 31, 2008 0.2105 Dec 31, 2009 0.208 Dec 31, 2010 0.2074 Dec 31, 2011 0.2065 Dec 31, 2012 0.2053 Dec 31, 2013 0.2042 Dec 31, 2014 0.2031 Dec 31, 2015 0.2014 Dec 31, 2016 0.1999 Dec 31, 2017 0.1983 Dec 31, 2018 0.1965

Vega-Lite specification:
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Chart description: The chart shows the progression of which proportion of the population is between 0-14 years. It shows a decrease from avobe 0.20 on 2010 to slight below 0.20 on 2018.

Chart data: Year 0-14 years Dec 31, 2008 0.2105 Dec 31, 2009 0.208 Dec 31, 2010 0.2074 Dec 31, 2011 0.2065 Dec 31, 2012 0.2053 Dec 31, 2013 0.2042 Dec 31, 2014 0.2031 Dec 31, 2015 0.2014 Dec 31, 2016 0.1999 Dec 31, 2017 0.1983 Dec 31, 2018 0.1965

Vega-Lite specification:
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Chart description: From the line chart i can clearly see a upward line which indicates an increase in population from the 2008 and 2018.

Chart data: Year Total Dec 31, 2007 577.05 Dec 31, 2008 583.75 Dec 31, 2009 590.3 Dec 31, 2010 596.97 Dec 31, 2011 603.59 Dec 31, 2012 610.15 Dec 31, 2013 616.62 Dec 31, 2014 622.99 Dec 31, 2015 629.24 Dec 31, 2016 635.37 Dec 31, 2017 641.36

Vega-Lite specification:
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Chart description: Between the years 2010 and 2014, the share of the Agriculture sector on Bangladesh's GDP remained relatively stable above 0.15 GDP, though in a decline throughout. This decline began to stabalise between 2013 and 2014, however a sharp decline has taken the Agriculture sector's contribution to Bangladesh's GDP below 0.15. This period of new decline seems to be ongoing through 2018.

Chart data: Year Agriculture Dec 31, 2008 0.171 Dec 31, 2009 0.17 Dec 31, 2010 0.1681 Dec 31, 2011 0.1618 Dec 31, 2012 0.1549 Dec 31, 2013 0.1535 Dec 31, 2014 0.1478 Dec 31, 2015 0.1405 Dec 31, 2016 0.1341 Dec 31, 2017 0.1307 Dec 31, 2018 0.1268

Vega-Lite specification:
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Chart description: Agriculture has steadily declined over 10 years.

Chart data: Year Agriculture Dec 31, 2008 0.171 Dec 31, 2009 0.17 Dec 31, 2010 0.1681 Dec 31, 2011 0.1618 Dec 31, 2012 0.1549 Dec 31, 2013 0.1535 Dec 31, 2014 0.1478 Dec 31, 2015 0.1405 Dec 31, 2016 0.1341 Dec 31, 2017 0.1307 Dec 31, 2018 0.1268

Vega-Lite specification:
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Chart description: Over the years we can see that the share of economic sectors has increase from 0.25 to 0.3.

Chart data: Year Industry Dec 31, 2008 0.253 Dec 31, 2009 0.2496 Dec 31, 2010 0.2505 Dec 31, 2011 0.2531 Dec 31, 2012 0.2631 Dec 31, 2013 0.2631 Dec 31, 2014 0.2683 Dec 31, 2015 0.2735 Dec 31, 2016 0.2775 Dec 31, 2017 0.2854 Dec 31, 2018 0.2965

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/269.tsv"}, "mark": "line", "encoding": {"color": {"value": "#0570b0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Industry"}, "field": "Industry"}}, "title": ["Bangladesh : 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: It shows that the presidents did die of some kind of heart problems The age range is between 60- 100 Warren G Harding is the lowest age to die at under 60.

Chart data: United States Presidents Heart attack, failure or cardiovascular disease Gerald Ford 93.45 John Adams 90.68 James Madison 85.28 Dwight D. Eisenhower 78.45 Andrew Jackson 78.23 William Howard Taft 72.47 Grover Cleveland 71.26 Rutherford B. Hayes 70.29 Lyndon B. Johnson 64.41 Calvin Coolidge 60.51 Warren G. Harding * 57.75

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/2703.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bf5b17"}, "x": {"type": "nominal", "axis": {"labelAngle": 90}, "bin": false, "field": "United States Presidents"}, "y": {"type": "quantitative", "axis": {"title": "Heart attack, failure or cardiovascular disease"}, "field": "Heart attack, failure or cardiovascular disease"}}, "title": ["Length of life and cause of death of United", "States Presidents from 1799 to November 20", ", 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph shows 11 presidents that suffered from heart attack, failure or cardiovascular diseaseAll 11 presidents except 1, lived over the age of 603 Presidents lived over the age 0f 80.

Chart data: United States Presidents Heart attack, failure or cardiovascular disease Gerald Ford 93.45 John Adams 90.68 James Madison 85.28 Dwight D. Eisenhower 78.45 Andrew Jackson 78.23 William Howard Taft 72.47 Grover Cleveland 71.26 Rutherford B. Hayes 70.29 Lyndon B. Johnson 64.41 Calvin Coolidge 60.51 Warren G. Harding * 57.75

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/2703.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#bf5b17"}, "x": {"type": "nominal", "axis": {"labelAngle": 90}, "bin": false, "field": "United States Presidents"}, "y": {"type": "quantitative", "axis": {"title": "Heart attack, failure or cardiovascular disease"}, "field": "Heart attack, failure or cardiovascular disease"}}, "title": ["Length of life and cause of death of United", "States Presidents from 1799 to November 20", ", 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Of US Presidents experiencing Stroke as cause of death between 1799 and November 20, 2020 most experienced those deaths happened after the age of 60. The youngest US President to die of stroke was Chester A. Arthur who died at the age of 58. It should be noted that US President FDR's data/name is highlighted with an asterisk which is unexplained at this time.

Chart data: United States Presidents Stroke Richard Nixon 81.28 John Quincy Adams 80.62 Millard Fillmore 74.16 John Tyler 71.81 Woodrow Wilson 67.1 Andrew Johnson 66.59 Franklin D. Roosevelt * 63.2 Chester A. Arthur 57.12

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/2703.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#4D4D4D"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "United States Presidents"}, "y": {"type": "quantitative", "axis": {"title": "Stroke"}, "field": "Stroke"}}, "title": ["Length of life and cause of death of United", "States Presidents from 1799 to November 20", ", 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: As the years go on, Presidents of the United States live longer.

Chart data: United States Presidents Pneumonia/respiratory illness Ronald Reagan 93.33 Martin Van Buren 79.63 James Buchanan 77.11 Benjamin Harrison 67.56

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/2703.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#e2ddf2"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "United States Presidents"}, "y": {"type": "quantitative", "axis": {"title": "Pneumonia/respiratory illness"}, "field": "Pneumonia/respiratory illness"}}, "title": ["Length of life and cause of death of United", "States Presidents from 1799 to November 20", ", 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Life expectancy has increased since 1799. Treatment of respiratory illness has improved since 1799Causes of respiratory illness has declined since 1799.

Chart data: United States Presidents Pneumonia/respiratory illness Ronald Reagan 93.33 Martin Van Buren 79.63 James Buchanan 77.11 Benjamin Harrison 67.56

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/2703.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#e2ddf2"}, "x": {"type": "nominal", "axis": {"labelAngle": -30}, "bin": false, "field": "United States Presidents"}, "y": {"type": "quantitative", "axis": {"title": "Pneumonia/respiratory illness"}, "field": "Pneumonia/respiratory illness"}}, "title": ["Length of life and cause of death of United", "States Presidents from 1799 to November 20", ", 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: We can see that the length of life increases as time goes on.

Chart data: Cancer United States Presidents 90.19 Herbert Hoover 63.24 Ulysses S. Grant

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/2703.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#154866"}, "x": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Cancer"}, "field": "Cancer"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "United States Presidents"}}, "title": ["Length of life and cause of death of United", "States Presidents from 1799 to November 20", ", 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: George W bush is the oldest president. James K Polk died youngish.

Chart data: United States Presidents Other*** George H. W. Bush 94.47 Harry S. Truman 88.63 Thomas Jefferson 83.22 James Monroe 73.18 William Henry Harrison * 68.15 George Washington 67.81 Zachary Taylor * 65.62 Franklin Pierce 64.87 Theodore Roosevelt 60.19 James K. Polk 53.62

Vega-Lite specification:
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Chart description: the biggest impact of coronavirus was in Saudi Aramco which has maximum scale of 35, big impact is observe also in Shell and Chevron but the rest of capitals have small impact.

Chart data: Initial oil and gas producers 35 Saudi Aramco 25 Shell 20 Chevron 18 Total S.A. 15 BP 12 Petrobras 10.6 Equinor 8.7 Eni 6.6 ConocoPhillips 6.2 EOG Resources 5.4 Suncor Energy 5.2 Oxy 4.5 EcoPetrol 4.1 Repsol 4 Canadian Natural Resources 3.8 Phillips 66

Vega-Lite specification:
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Chart description: There was a huge dip in April of vehicle sales which then picked up in June and a July.

Chart data: Month Autos Aug 31, 2019 339.13 Sep 30, 2019 343.28 Oct 31, 2019 352.18 Nov 30, 2019 373.71 Dec 31, 2019 292.9 Jan 31, 2020 346.15 Feb 29, 2020 264.54 Mar 31, 2020 166.26 Apr 30, 2020 258.23 May 31, 2020 250.63 Jun 30, 2020 293.58 Jul 31, 2020 304.52 Aug 31, 2020 305.23

Vega-Lite specification:
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Chart description: Vehicle sales were at their lowest in April 2020 and although they began to increase again after this dip, they did not return to the same rate as in October 2019 before July 2020.

Chart data: Month Autos Aug 31, 2019 339.13 Sep 30, 2019 343.28 Oct 31, 2019 352.18 Nov 30, 2019 373.71 Dec 31, 2019 292.9 Jan 31, 2020 346.15 Feb 29, 2020 264.54 Mar 31, 2020 166.26 Apr 30, 2020 258.23 May 31, 2020 250.63 Jun 30, 2020 293.58 Jul 31, 2020 304.52 Aug 31, 2020 305.23

Vega-Lite specification:
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Chart description: more cars are sold in the month of october and sales dip in april.

Chart data: Month Autos Aug 31, 2019 339.13 Sep 30, 2019 343.28 Oct 31, 2019 352.18 Nov 30, 2019 373.71 Dec 31, 2019 292.9 Jan 31, 2020 346.15 Feb 29, 2020 264.54 Mar 31, 2020 166.26 Apr 30, 2020 258.23 May 31, 2020 250.63 Jun 30, 2020 293.58 Jul 31, 2020 304.52 Aug 31, 2020 305.23

Vega-Lite specification:
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Chart description: Between October and April 2020 there was a downward trend in the sale of heavy trucks. By the middle of April 2020, the sale of heavy trucks was increasing.

Chart data: Month Heavy trucks Aug 31, 2019 48.53 Sep 30, 2019 46.18 Oct 31, 2019 35.29 Nov 30, 2019 46.19 Dec 31, 2019 31.91 Jan 31, 2020 33.22 Feb 29, 2020 33.72 Mar 31, 2020 28.31 Apr 30, 2020 23.97 May 31, 2020 30.79 Jun 30, 2020 32.37 Jul 31, 2020 37.07 Aug 31, 2020 39.39

Vega-Lite specification:
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Chart description: From a high of close to 50,00 units in September 2019, heavy truck sales plunged going into October to 35,000. After making a brief recovery towards the end of the year there was a rapid decline going into April 2020 to 25,000 sales. After this sales grew incrementally through July to just below 40,000 sales.

Chart data: Month Heavy trucks Aug 31, 2019 48.53 Sep 30, 2019 46.18 Oct 31, 2019 35.29 Nov 30, 2019 46.19 Dec 31, 2019 31.91 Jan 31, 2020 33.22 Feb 29, 2020 33.72 Mar 31, 2020 28.31 Apr 30, 2020 23.97 May 31, 2020 30.79 Jun 30, 2020 32.37 Jul 31, 2020 37.07 Aug 31, 2020 39.39

Vega-Lite specification:
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Chart description: Heavy trucks were sold in the US in the year September 2019 to September 2020. Looking at the graph the best month for sales was September 2019 where 48,000 trucks were sold compared to the worst selling month of May 2020 where only 25,000 trucks were sold.

Chart data: Month Heavy trucks Aug 31, 2019 48.53 Sep 30, 2019 46.18 Oct 31, 2019 35.29 Nov 30, 2019 46.19 Dec 31, 2019 31.91 Jan 31, 2020 33.22 Feb 29, 2020 33.72 Mar 31, 2020 28.31 Apr 30, 2020 23.97 May 31, 2020 30.79 Jun 30, 2020 32.37 Jul 31, 2020 37.07 Aug 31, 2020 39.39

Vega-Lite specification:
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Chart description: As it can be observed in the graph, Lionel Messi presents the highest salary and bonuses reaching above 80 in the y-axis, followed by Neymar at a little below 80 and Christiano Ronaldo reaching around 70. The average salary and bonuses for the rest of the soccer players presented in the graph are around 25, highlighting the difference between them and the 3 highest paid players.

Chart data: Highest-paid soccer players Salary & bonuses Lionel Messi (FC Barcelona) 92 Cristiano Ronaldo (Juventus) 70 Neymar (Paris Saint-Germain) 78 Kylian Mbappe (Paris St. Germain) 28 Mohamed Salah (Liverpool) 24 Paul Pogba (Manchester United) 28 Antoine Griezmann (Barcelona) 28 Gareth Bale (Real Madrid) 23 Robert Lewandowski (Bayern Munich) 24 David de Gea (Manchester United) 24

Vega-Lite specification:
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Chart description: I am not sure why the Y axis is labelled as an age range. However, assuming the graph shows rate of unemplotment, it increased over time with a peak in 2012, falling back to around 2.17 in 2019.

Chart data: Year 16 - 24 years Dec 31, 2005 0.146 Dec 31, 2006 0.134 Dec 31, 2007 0.201 Dec 31, 2008 0.369 Dec 31, 2009 0.391 Dec 31, 2010 0.438 Dec 31, 2011 0.504 Dec 31, 2012 0.502 Dec 31, 2013 0.471 Dec 31, 2014 0.423 Dec 31, 2015 0.343 Dec 31, 2016 0.304 Dec 31, 2017 0.277 Dec 31, 2018 0.262

Vega-Lite specification:
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Chart description: Unemployment peaked a few years ago but seems to be on a downward trend now.

Chart data: Year 16 - 24 years Dec 31, 2005 0.146 Dec 31, 2006 0.134 Dec 31, 2007 0.201 Dec 31, 2008 0.369 Dec 31, 2009 0.391 Dec 31, 2010 0.438 Dec 31, 2011 0.504 Dec 31, 2012 0.502 Dec 31, 2013 0.471 Dec 31, 2014 0.423 Dec 31, 2015 0.343 Dec 31, 2016 0.304 Dec 31, 2017 0.277 Dec 31, 2018 0.262

Vega-Lite specification:
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Chart description: Unemployment rates increased between 2006 and peaking in 2012. Ther period from 2012 saw unemployment rates fall, to a level slightly above 2006.

Chart data: Year 25 - 54 years Dec 31, 2005 0.057 Dec 31, 2006 0.058 Dec 31, 2007 0.081 Dec 31, 2008 0.147 Dec 31, 2009 0.161 Dec 31, 2010 0.175 Dec 31, 2011 0.208 Dec 31, 2012 0.214 Dec 31, 2013 0.183 Dec 31, 2014 0.165 Dec 31, 2015 0.142 Dec 31, 2016 0.118 Dec 31, 2017 0.1 Dec 31, 2018 0.097

Vega-Lite specification:
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Chart description: in the last 13 yeaqrs unemployment peaked in 2015 for workers aged 55 and older but the next 4 years has shown a rapid decline in unemployment.

Chart data: Year 55 years and over Dec 31, 2005 0.039 Dec 31, 2006 0.05 Dec 31, 2007 0.048 Dec 31, 2008 0.1 Dec 31, 2009 0.123 Dec 31, 2010 0.131 Dec 31, 2011 0.159 Dec 31, 2012 0.175 Dec 31, 2013 0.171 Dec 31, 2014 0.182 Dec 31, 2015 0.148 Dec 31, 2016 0.135 Dec 31, 2017 0.106 Dec 31, 2018 0.099

Vega-Lite specification:
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Chart description: Unemployment amongst this population group peaked in 2013-15. The years before and after this period show mirrored trends, with sharp changes in trend showing significantly less unemployment. However, the decrease in the later years does not reach the lowest point shown in 2006.

Chart data: Year 55 years and over Dec 31, 2005 0.039 Dec 31, 2006 0.05 Dec 31, 2007 0.048 Dec 31, 2008 0.1 Dec 31, 2009 0.123 Dec 31, 2010 0.131 Dec 31, 2011 0.159 Dec 31, 2012 0.175 Dec 31, 2013 0.171 Dec 31, 2014 0.182 Dec 31, 2015 0.148 Dec 31, 2016 0.135 Dec 31, 2017 0.106 Dec 31, 2018 0.099

Vega-Lite specification:
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Chart description: The rate of unemployment in Catalonia has dramatically changed from 2006 to 2019. The lowest level of unemployment was in 2006 and 2007 where approximately 0.06 of 16-64 year olds were unemployed. Levels of unemployment rapidly increased after 2007 and peaked in 2013 with a total of 0.24. Since 2013 levels of unemployment have decreased over time and started to level out at 0.11 in 2018.

Chart data: Year 16 - 64 years Dec 31, 2005 0.065 Dec 31, 2006 0.065 Dec 31, 2007 0.089 Dec 31, 2008 0.163 Dec 31, 2009 0.178 Dec 31, 2010 0.193 Dec 31, 2011 0.227 Dec 31, 2012 0.232 Dec 31, 2013 0.204 Dec 31, 2014 0.187 Dec 31, 2015 0.158 Dec 31, 2016 0.135 Dec 31, 2017 0.116 Dec 31, 2018 0.111

Vega-Lite specification:
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