delen/vistext huggingface dataset:
Chart description: The proportion of over-65s grew during the given period.

Chart data: Year 65 years and older Dec 31, 2008 0.0261 Dec 31, 2009 0.0257 Dec 31, 2010 0.0259 Dec 31, 2011 0.026 Dec 31, 2012 0.0262 Dec 31, 2013 0.0265 Dec 31, 2014 0.0269 Dec 31, 2015 0.0277 Dec 31, 2016 0.0285 Dec 31, 2017 0.0294 Dec 31, 2018 0.0303

Vega-Lite specification:
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Chart description: Most states have a percentage of covid deaths below 0.6. Only 7 states have a percentage of covid deaths above 0.8.

Chart data: Percentage of COVID-19 deaths State 0.82 Rhode Island 0.74 Connecticut 0.98 Maine 0.94 Idaho 0.75 Massachusetts 0.76 Oklahoma 0.66 Delaware 0.51 Nevada 0.7 Washington 0.8 Nebraska 0.43 Texas 0.84 Minnesota 0.95 Vermont 0.9 New Hampshire 0.88 Iowa 0.78 Ohio 0.65 Colorado 0.5 Florida 0.51 Arizona 0.33 California 0.78 Oregon 0.8 Kentucky 0.44 Maryland 0.45 Georgia 0.71 Pennsylvania 0.58 Virginia 0.59 North Carolina 0.51 All known deaths 0.69 Missouri 0.7 Indiana 0.24 New Mexico 0.71 Kansas 0.53 New Jersey 0.72 Montana 0.7 Wisconsin 0.41 Mississippi 0.45 Illinois 0.45 Louisiana 0.6 Utah 0.49 Alabama 0.48 South Carolina 0.58 Tennessee 0.57 Arkansas 0.33 New York 0.54 Michigan 0.11 District of Columbia

Vega-Lite specification:
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Chart description: The release fees for national team players has nearly doubled between 2012/13 and 2013/14.

Chart data: Year Release fees for national team players 2013/14 0.021 2012/13 0.0119

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/5150.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#3e5c69"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 45, "title": "Release fees for national team players"}, "field": "Release fees for national team players"}}, "title": ["Share of Borussia Dortmund 's revenue by", "segment from 2008/09 to 2019/20"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: 2012/13 revenue for release fees was around 0.011. 2013/14 revenue for release fees was around 0.021. The revenue from release fees roughly doubled between the two years.

Chart data: Year Release fees for national team players 2013/14 0.021 2012/13 0.0119

Vega-Lite specification:
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Chart description: Borussia Dortmund’s share of revenue in retail decreased every year between 2009 and 2013 from 0.125 to 0.058. Borussia Dortmund’s share of revenue in the retail sector increased in the 2013/2014 year.

Chart data: Year Retail 2013/14 0.0878 2012/13 0.0584 2011/12 0.081 2010/11 0.101 2009/10 0.125 2008/09 0.1176

Vega-Lite specification:
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Chart description: There has been a decrease in share of economic sectors between 1997 and 2007 from 0.275 to 0.175. The decline has not been consistent and there was a period of greater economic sector share between 2001 and 2003.

Chart data: Year Agriculture Dec 31, 1996 0.2788 Dec 31, 1997 0.3061 Dec 31, 1998 0.2518 Dec 31, 1999 0.2375 Dec 31, 2000 0.2704 Dec 31, 2001 0.2683 Dec 31, 2002 0.257 Dec 31, 2003 0.218 Dec 31, 2004 0.1949 Dec 31, 2005 0.1922 Dec 31, 2006 0.1794

Vega-Lite specification:
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Chart description: The graph shows that between 1997-2007, industry as a share of economic sectors in the gross domestic products in Syria remained relatively static between 0.3 and 0.4 percent. With only 2 small dips in 1998 and 2003.

Chart data: Year Industry Dec 31, 1996 0.3091 Dec 31, 1997 0.2756 Dec 31, 1998 0.3364 Dec 31, 1999 0.3794 Dec 31, 2000 0.3323 Dec 31, 2001 0.3218 Dec 31, 2002 0.2934 Dec 31, 2003 0.3522 Dec 31, 2004 0.3621 Dec 31, 2005 0.3527 Dec 31, 2006 0.3297

Vega-Lite specification:
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Chart description: Despite a decline of GDP within services from pre-1998 to 2000. The years following (for 6+ years) saw a positive correlation in the share of GDP and that of economic sectors in Syria.

Chart data: Year Services Dec 31, 1996 0.4121 Dec 31, 1997 0.4184 Dec 31, 1998 0.4118 Dec 31, 1999 0.3831 Dec 31, 2000 0.3973 Dec 31, 2001 0.4099 Dec 31, 2002 0.4495 Dec 31, 2003 0.4298 Dec 31, 2004 0.4431 Dec 31, 2005 0.455 Dec 31, 2006 0.4909

Vega-Lite specification:
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Chart description: over the months the followers have been increasing.

Chart data: Month Twitter followers Jul 31, 2012 0.11 Jan 31, 2013 0.13 Jul 31, 2013 0.17 Jan 31, 2014 0.21 Jul 31, 2014 0.24 Jan 31, 2015 0.33 Jul 31, 2015 0.39 Jan 31, 2016 0.49 Jul 31, 2016 0.56 Jan 31, 2017 0.68 Jul 31, 2017 0.76 Jan 31, 2018 0.93 Jul 31, 2018 0.95 Jan 31, 2019 0.95 Jul 31, 2019 0.95 Jan 31, 2020 1.05 Jul 31, 2020 1

Vega-Lite specification:
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Chart description: from 2016 to 2020, the payments plateaued over the 4 years. the payments rose in the years from 2020 to 2022 .

Chart data: Fiscal year By uninsured people Dec 31, 2014 2 Dec 31, 2015 4 Dec 31, 2016 4 Dec 31, 2017 4 Dec 31, 2018 4 Dec 31, 2019 4 Dec 31, 2020 5 Dec 31, 2021 5 Dec 31, 2022 5 Dec 31, 2023 5 Dec 31, 2024 6

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/5154.tsv"}, "mark": "line", "encoding": {"color": {"value": "#7fc97f"}, "x": {"type": "temporal", "axis": {"labelAngle": 90}, "bin": false, "field": "Fiscal year"}, "y": {"type": "quantitative", "axis": {"title": "By uninsured people"}, "field": "By uninsured people"}}, "title": ["Projected penalty payments under the Affordable", "Care Act from 2015 to 2025 (in billion U.S.", "dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The chart shows a definate increase year on year and looks as if will continue to rise . It did plateau between years 2019-2020.

Chart data: Fiscal year By employers* Dec 31, 2014 0 Dec 31, 2015 7 Dec 31, 2016 11 Dec 31, 2017 13 Dec 31, 2018 15 Dec 31, 2019 15 Dec 31, 2020 17 Dec 31, 2021 19 Dec 31, 2022 20 Dec 31, 2023 22 Dec 31, 2024 23

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/5154.tsv"}, "mark": "line", "encoding": {"color": {"value": "#6793a6"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Fiscal year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "By employers*"}, "field": "By employers*"}}, "title": ["Projected penalty payments under the Affordable", "Care Act from 2015 to 2025 (in billion U.S.", "dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Apart from one year with no year on year increase, projected payments are increasing every year.

Chart data: Fiscal year By employers* Dec 31, 2014 0 Dec 31, 2015 7 Dec 31, 2016 11 Dec 31, 2017 13 Dec 31, 2018 15 Dec 31, 2019 15 Dec 31, 2020 17 Dec 31, 2021 19 Dec 31, 2022 20 Dec 31, 2023 22 Dec 31, 2024 23

Vega-Lite specification:
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Chart description: The highest average temperature from 2011 to 2018 can be found in Palermo, at about 18 degrees Celsius. The lowest average temperature, conversely, was in Turin at approximately 13 degrees Celsius. Other than Turin, only Milan had an average temperature below the 15 degree mark for this period, with all other cities temperatures settling between 15 and 18 degrees on average.

Chart data: 2011-2018 city of Italy 19 Palermo 18.3 Catania 17.4 Bari 17.6 Naples 16.8 Genoa 16.7 Rome 16 Florence 15.2 Bologna 14.4 Milan 13.4 Turin

Vega-Lite specification:
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Chart description: The graph shows Santiago, Chile as the highest figure (0.8) and Kingston, Jamaica as the lowest (approx. -0.52). Only Santiago has a positive figure.

Chart data: cities in Latin America Partial lockdown Kingston, Jamaica −0.52 Mexico City, Mexico −0.37 São Paulo, Brazil −0.27 Rio de Janeiro, Brazil −0.16 Santiago, Chile 0.8

Vega-Lite specification:
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Chart description: The highest amount of private insurance is spent on hospital care, and the lowest on home care, nursing care facilities and other health services.

Chart data: Private insurance private insurance and out-of-pocket payments 0.39 Hospital care 0.25 Physician and clinical services 0.11 Prescription drugs 0.13 Net cost of health insurance* 0.05 Dental services 0.03 Other professional services 0.01 Nursing care facilities 0.01 Other health care** 0.01 Other medical products*** 0.01 Home health services

Vega-Lite specification:
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Chart description: The Y-axis increases spending distribution by increments of 0.05. The highest spending in the US in 2018 is distributed to ‘other medical products’ at nearly 0.25. ‘Other medical products’, which received the highest distribution, gets approximately one third more spending distributed to them than their nearest competitor, ‘physician and clinical services’, which received just over 0.15 of the spending distribution in the US in 2018. The lowest spending is distributed to ‘net cost of health insurance’, whose data does not place on the chart at all in the US in 2018.

Chart data: private insurance and out-of-pocket payments Out-of-pocket Hospital care 0.09 Physician and clinical services 0.16 Prescription drugs 0.13 Net cost of health insurance* 0 Dental services 0.15 Other professional services 0.07 Nursing care facilities 0.12 Other health care** 0.02 Other medical products*** 0.24 Home health services 0.03

Vega-Lite specification:
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Chart description: Steady run for 5 years from 2000 till 2005 and then doubling to 0.20 over the next five years and hasn't moved since then.

Chart data: Year Education Dec 31, 1999 0.01 Dec 31, 2004 0.01 Dec 31, 2009 0.02 Dec 31, 2010 0.02 Dec 31, 2011 0.02 Dec 31, 2012 0.02 Dec 31, 2013 0.02 Dec 31, 2014 0.02 Dec 31, 2015 0.02 Dec 31, 2016 0.02 Dec 31, 2017 0.02 Dec 31, 2018 0.02

Vega-Lite specification:
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Chart description: Over the last 19 years household consumption in the UK has increased in line with education.  The higher educated you are the more you consume.

Chart data: Year Education Dec 31, 1999 0.01 Dec 31, 2004 0.01 Dec 31, 2009 0.02 Dec 31, 2010 0.02 Dec 31, 2011 0.02 Dec 31, 2012 0.02 Dec 31, 2013 0.02 Dec 31, 2014 0.02 Dec 31, 2015 0.02 Dec 31, 2016 0.02 Dec 31, 2017 0.02 Dec 31, 2018 0.02

Vega-Lite specification:
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Chart description: Household consumption expenditure peaked in 2005 at to around 0.14, it then steadily fell to 0.12 in 2010 and only began to rise again in 2013 where it levelled off at 0.13 and remained there from 2015.

Chart data: Year Miscellaneous Dec 31, 1999 0.13 Dec 31, 2004 0.14 Dec 31, 2009 0.12 Dec 31, 2010 0.12 Dec 31, 2011 0.12 Dec 31, 2012 0.12 Dec 31, 2013 0.13 Dec 31, 2014 0.13 Dec 31, 2015 0.13 Dec 31, 2016 0.13 Dec 31, 2017 0.13 Dec 31, 2018 0.13

Vega-Lite specification:
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Chart description: Russian's population shows a decreasing (i.e., people becoming younger) age distribution from 2009 to 2019.

Chart data: Year 15-64 years Dec 31, 2008 0.72 Dec 31, 2009 0.7197 Dec 31, 2010 0.7173 Dec 31, 2011 0.7132 Dec 31, 2012 0.7078 Dec 31, 2013 0.7018 Dec 31, 2014 0.6957 Dec 31, 2015 0.6883 Dec 31, 2016 0.681 Dec 31, 2017 0.6741 Dec 31, 2018 0.6675

Vega-Lite specification:
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Chart description: Over the period in the table, there is a declining trend in the age group.  Overall the drop is approx 0.05.

Chart data: Year 15-64 years Dec 31, 2008 0.72 Dec 31, 2009 0.7197 Dec 31, 2010 0.7173 Dec 31, 2011 0.7132 Dec 31, 2012 0.7078 Dec 31, 2013 0.7018 Dec 31, 2014 0.6957 Dec 31, 2015 0.6883 Dec 31, 2016 0.681 Dec 31, 2017 0.6741 Dec 31, 2018 0.6675

Vega-Lite specification:
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Chart description: The Line Graph indicates that the Age Distribution of 16 to 64 olds in Russia from 2009 to 2019 has very slightly declined from roughly just over 0.7 to just under 0.7. From the data shown this indicates that the decline is a very small amount over the 10 years to be of a serious concern.

Chart data: Year 15-64 years Dec 31, 2008 0.72 Dec 31, 2009 0.7197 Dec 31, 2010 0.7173 Dec 31, 2011 0.7132 Dec 31, 2012 0.7078 Dec 31, 2013 0.7018 Dec 31, 2014 0.6957 Dec 31, 2015 0.6883 Dec 31, 2016 0.681 Dec 31, 2017 0.6741 Dec 31, 2018 0.6675

Vega-Lite specification:
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Chart description: The more recent years shows an upwards trend in usage the older you are.

Chart data: Response 60-74 years Dec 31, 2009 0.071 Dec 31, 2010 0.109 Dec 31, 2011 0.162 Dec 31, 2012 0.23 Dec 31, 2013 0.297 Dec 31, 2014 0.301 Dec 31, 2015 0.296 Dec 31, 2016 0.367 Dec 31, 2017 0.458 Dec 31, 2018 0.573

Vega-Lite specification:
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Chart description: Wholesale and retail trade have the highest GDP utilities have the lowest GDP.

Chart data: industry Small business GDP Mining & Manufacturing 534845 Whosesale & Retail Trade 703034 Finance and Insurance 513139 Professional and Technical Services 644253 Health Services 551558 Real Estate and Leasing 651873 Information 74738 Construction 424850 Administration and Waste Management Services 186604 Accommodation and Food Service 216980 Transportation and Warehousing 140836 Other services (excluding government) 290734 Utilities 29000 Holding Companies 85675 Education Services 67266 Arts and Entertainment 93034

Vega-Lite specification:
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Chart description: Mining and manufacturing had the highest GDP of nearly $1,400,000. Arts and entertainment, and other including Government services had the lowest GDP spending. Finance and insurance spent $1 million dollars on GDP.

Chart data: industry Large business GDP Mining & Manufacturing 1371949 Whosesale & Retail Trade 917752 Finance and Insurance 1007540 Professional and Technical Services 472905 Health Services 529801 Real Estate and Leasing 212209 Information 564026 Construction 84241 Administration and Waste Management Services 233637 Accommodation and Food Service 194591 Transportation and Warehousing 262234 Other services (excluding government) 53973 Utilities 247113 Holding Companies 171147 Education Services 101959 Arts and Entertainment 42234

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Chart description: After an initial plateau, the assets grew steadily, dipping in 2018 before rising again.

Chart data: Year Europe Dec 31, 2009 10.19 Dec 31, 2010 10.08 Dec 31, 2011 10.9 Dec 31, 2012 12.39 Dec 31, 2013 12.97 Dec 31, 2014 13.59 Dec 31, 2015 14.7 Dec 31, 2016 15.85 Dec 31, 2017 15.35 Dec 31, 2018 16.7

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