delen/vistext huggingface dataset:
Chart description: Since 1990, the overall number of 15-64 year olds in China has increased. In 2010, there was a plateau. Since 2010, the number of 15-64 year olds in China has started to decrease.

Chart data: Year 15-64 years Dec 31, 1989 763.06 Dec 31, 1994 813.93 Dec 31, 1999 889.1 Dec 31, 2004 941.97 Dec 31, 2009 999.38 Dec 31, 2010 1002.83 Dec 31, 2011 1004.03 Dec 31, 2012 1005.82 Dec 31, 2013 1004.69 Dec 31, 2014 1003.61 Dec 31, 2015 1002.6 Dec 31, 2016 998.29 Dec 31, 2017 993.57 Dec 31, 2018 989.1

Vega-Lite specification:
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Chart description: Population in China increased from 200 to 2010. Population in China has levelled off in the last 5 years. Population in China declined slightly in 2015.

Chart data: Year 15-64 years Dec 31, 1989 763.06 Dec 31, 1994 813.93 Dec 31, 1999 889.1 Dec 31, 2004 941.97 Dec 31, 2009 999.38 Dec 31, 2010 1002.83 Dec 31, 2011 1004.03 Dec 31, 2012 1005.82 Dec 31, 2013 1004.69 Dec 31, 2014 1003.61 Dec 31, 2015 1002.6 Dec 31, 2016 998.29 Dec 31, 2017 993.57 Dec 31, 2018 989.1

Vega-Lite specification:
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Chart description: Recent years down a consistent increase, although the most recent year was in line with the previous one.

Chart data: year Tea FY 2020 58.51 FY 2019 58.28 FY 2018 53.96 FY 2017 49.1 FY 2016 47.2 FY 2015 41.71 FY 2014 48.73 FY 2013 47.19 FY 2012 40.79 FY 2011 33.54

Vega-Lite specification:
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Chart description: From the financial year 2011 to 2018 there was a continuous increase in the value of coffee. To be precise, the value of tea and coffee more than doubled between these years from 30 billion Indian rupees to 60 billion.

Chart data: Coffee year 52.37 FY 2020 57.21 FY 2019 62.45 FY 2018 56.5 FY 2017 51.3 FY 2016 49.73 FY 2015 47.99 FY 2014 47.11 FY 2013 45.35 FY 2012 30.1 FY 2011

Vega-Lite specification:
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Chart description: It looks like less children are born every year since 2009. Whilst the population of children aged 0-14 was 0.3 in 2009, in 2019 the quantity of children aged 0-15 dropped to 0.25.

Chart data: Year 0-14 years Dec 31, 2008 0.3032 Dec 31, 2009 0.3005 Dec 31, 2010 0.2962 Dec 31, 2011 0.292 Dec 31, 2012 0.2877 Dec 31, 2013 0.2831 Dec 31, 2014 0.2782 Dec 31, 2015 0.2733 Dec 31, 2016 0.2685 Dec 31, 2017 0.2637 Dec 31, 2018 0.2591

Vega-Lite specification:
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Chart description: There are 20 colleges listed in total. There are 2 colleges (columbia NY and Chicago Illinois)  that exceed 10k debt. Only 3 colleges are below 6k debt (yale Connecticut, Williams college massachusetts and Princeton New Jersey. The average cost across the range of colleges is around the 7500 mark.

Chart data: best colleges in the United States Average debt Harvard University (Massachusetts) 7372 Stanford University (California) 8155 Yale University (Connecticut) 4962 Massachusetts Institute of Technology (Massachusetts) 7530 Princeton University (New Jersey) 4451 University of Pennsylvania (Pennsylvania) 7733 Brown University (Rhode Island) 7794 California Institute of Technology (California) 5988 Duke University (North Carolina) 6114 Dartmouth College (New Hampshire) 6239 Cornell University (New York) 8107 Pomona College (California) 6561 University of California, Berkeley (California) 6237 Columbia University (New York) 10740 Georgetown University (District of Columbia) 6358 University of Chicago (Illinois) 10381 Northwestern University (Illinois) 7024 University of Notre Dame (Indiana) 6600 Williams College (Massachusetts) 4440 University of Michigan, Ann Arbor (Michigan) 6965

Vega-Lite specification:
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Chart description: Distribution of employment was fairly level but dipped in 2015 but then picked up.

Chart data: Year Agriculture Dec 31, 2009 0.1742 Dec 31, 2010 0.1655 Dec 31, 2011 0.1671 Dec 31, 2012 0.1636 Dec 31, 2013 0.157 Dec 31, 2014 0.1467 Dec 31, 2015 0.1536 Dec 31, 2016 0.1449 Dec 31, 2017 0.1421 Dec 31, 2018 0.1395 Dec 31, 2019 0.1371

Vega-Lite specification:
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Chart description: The services industries continue to grow In China.

Chart data: Year Services Dec 31, 2008 0.341 Dec 31, 2009 0.346 Dec 31, 2010 0.357 Dec 31, 2011 0.361 Dec 31, 2012 0.385 Dec 31, 2013 0.406 Dec 31, 2014 0.424 Dec 31, 2015 0.435 Dec 31, 2016 0.449 Dec 31, 2017 0.463 Dec 31, 2018 0.474

Vega-Lite specification:
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Chart description: The Madagascar : Share of economic sectors in the gross domestic product Was lowest in 2009 and highest in 2019.

Chart data: Year Industry Dec 31, 2008 0.111 Dec 31, 2009 0.1134 Dec 31, 2010 0.1097 Dec 31, 2011 0.1122 Dec 31, 2012 0.1245 Dec 31, 2013 0.1349 Dec 31, 2014 0.1259 Dec 31, 2015 0.1337 Dec 31, 2016 0.1351 Dec 31, 2017 0.1673 Dec 31, 2018 0.1713

Vega-Lite specification:
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Chart description: The graph indicate that as the years increased the industry also increased and the all time highest was in 2019.

Chart data: Year Industry Dec 31, 2008 0.111 Dec 31, 2009 0.1134 Dec 31, 2010 0.1097 Dec 31, 2011 0.1122 Dec 31, 2012 0.1245 Dec 31, 2013 0.1349 Dec 31, 2014 0.1259 Dec 31, 2015 0.1337 Dec 31, 2016 0.1351 Dec 31, 2017 0.1673 Dec 31, 2018 0.1713

Vega-Lite specification:
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Chart description: Overall, there was a steady increase with the share of economic sectors in the GDP over time, excluding the dip in year 2015, but it starts to increase again after 2015. 2019 has the highest amount of share of economic sectors in the GDP.

Chart data: Year Industry Dec 31, 2008 0.111 Dec 31, 2009 0.1134 Dec 31, 2010 0.1097 Dec 31, 2011 0.1122 Dec 31, 2012 0.1245 Dec 31, 2013 0.1349 Dec 31, 2014 0.1259 Dec 31, 2015 0.1337 Dec 31, 2016 0.1351 Dec 31, 2017 0.1673 Dec 31, 2018 0.1713

Vega-Lite specification:
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Chart description: Since 2010 the gross domestic product in Madagascar has been growing with some smooth fluctuations through the years until 2016 2h3n it started to reduce . However in 2018 a recovery is visible.

Chart data: Year Services Dec 31, 2008 0.5265 Dec 31, 2009 0.533 Dec 31, 2010 0.5375 Dec 31, 2011 0.5466 Dec 31, 2012 0.5465 Dec 31, 2013 0.5433 Dec 31, 2014 0.5513 Dec 31, 2015 0.5488 Dec 31, 2016 0.5549 Dec 31, 2017 0.5222 Dec 31, 2018 0.5245

Vega-Lite specification:
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Chart description: There is a steady increase in people getting married over the last 17years.

Chart data: Year Single Dec 31, 2001 22944481 Dec 31, 2002 23248375 Dec 31, 2003 23528600 Dec 31, 2004 23815246 Dec 31, 2005 24206014 Dec 31, 2006 24503235 Dec 31, 2007 24889122 Dec 31, 2008 25143843 Dec 31, 2009 25433695 Dec 31, 2010 26029479 Dec 31, 2011 26126393 Dec 31, 2012 26384831 Dec 31, 2013 26644909 Dec 31, 2014 27161413 Dec 31, 2015 27430378 Dec 31, 2016 27553734 Dec 31, 2017 28037103 Dec 31, 2018 28194407

Vega-Lite specification:
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Chart description: In the graph; it shows the widowed population in England and Wales. It shows a downward trend, this could mean less people are getting married, or the average age expectancy is higher.

Chart data: Year Widowed Dec 31, 2001 3430046 Dec 31, 2002 3394165 Dec 31, 2003 3392397 Dec 31, 2004 3314665 Dec 31, 2005 3283515 Dec 31, 2006 3287352 Dec 31, 2007 3268830 Dec 31, 2008 3219206 Dec 31, 2009 3188332 Dec 31, 2010 3119765 Dec 31, 2011 3148134 Dec 31, 2012 3192610 Dec 31, 2013 3008164 Dec 31, 2014 3079377 Dec 31, 2015 3028870 Dec 31, 2016 3144444 Dec 31, 2017 3069538 Dec 31, 2018 3113715

Vega-Lite specification:
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Chart description: The martial status of the adult population in England and Wales between 2002 and 2019 peaked in 2002 and fell to the lowest figure in 2013.

Chart data: Year Widowed Dec 31, 2001 3430046 Dec 31, 2002 3394165 Dec 31, 2003 3392397 Dec 31, 2004 3314665 Dec 31, 2005 3283515 Dec 31, 2006 3287352 Dec 31, 2007 3268830 Dec 31, 2008 3219206 Dec 31, 2009 3188332 Dec 31, 2010 3119765 Dec 31, 2011 3148134 Dec 31, 2012 3192610 Dec 31, 2013 3008164 Dec 31, 2014 3079377 Dec 31, 2015 3028870 Dec 31, 2016 3144444 Dec 31, 2017 3069538 Dec 31, 2018 3113715

Vega-Lite specification:
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Chart description: The population of Colombia has gradually increased from 2008 to 2018. It began with 40-45million in 2008 and, it arrived 50 million in 2018.

Chart data: Year Total Dec 31, 2007 44.25 Dec 31, 2008 44.75 Dec 31, 2009 45.22 Dec 31, 2010 45.66 Dec 31, 2011 46.08 Dec 31, 2012 46.5 Dec 31, 2013 46.97 Dec 31, 2014 47.52 Dec 31, 2015 48.17 Dec 31, 2016 48.9 Dec 31, 2017 49.65

Vega-Lite specification:
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Chart description: Small steady increase between 2008 and 2018No significant peaks.

Chart data: Year Male Dec 31, 2007 21.69 Dec 31, 2008 21.93 Dec 31, 2009 22.16 Dec 31, 2010 22.37 Dec 31, 2011 22.58 Dec 31, 2012 22.78 Dec 31, 2013 23.01 Dec 31, 2014 23.29 Dec 31, 2015 23.62 Dec 31, 2016 23.99 Dec 31, 2017 24.36

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/1790.tsv"}, "mark": "area", "encoding": {"color": {"value": "#00609f"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Male"}, "field": "Male"}}, "title": ["Total population of Colombia from 2008 to", "2018 , by gender (in million inhabitants)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The bar chart showed that respondents in less likely of feeling 'somewhat scared' of contracting coronvirus where much more likely to come from western countries.

Chart data: Response Somewhat scared United Kingdom 0.19 United States 0.25 China 0.42 Hong Kong 0.39 Indonesia 0.34 Malaysia 0.36 Philippines 0.36 Singapore 0.38 Taiwan 0.4 Thailand 0.45

Vega-Lite specification:
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Chart description: The UK has the highest percentage of respondents not at all scared. Western countries have a significantly higher number of respondents not at all scared than eastern countries.

Chart data: Response Not at all scared United Kingdom 0.26 United States 0.25 China 0.03 Hong Kong 0.05 Indonesia 0.05 Malaysia 0.03 Philippines 0.09 Singapore 0.11 Taiwan 0.07 Thailand 0.06

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/1795.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#000000"}, "x": {"type": "nominal", "axis": {"labelAngle": -45}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Not at all scared"}, "field": "Not at all scared"}}, "title": ["Percentage of respondents worldwide scared", "of contracting coronavirus (COVID-19) as", "of March 1 , 2020 , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: As of 1 March 2020, the top two countries where people said they were frightened of contracting Covid-19 were the United States and the United Kingdom, with more than 0.25 percent of their population was afraid of contracting the virus as compared to eight other Asian countries. In Asia, Singaporeans were the most frightened of getting the virus (over 0.1 percent of population). I think the data in the chart has been misleading and incomparable as there's no information of the population of each country.

Chart data: Response Not at all scared United Kingdom 0.26 United States 0.25 China 0.03 Hong Kong 0.05 Indonesia 0.05 Malaysia 0.03 Philippines 0.09 Singapore 0.11 Taiwan 0.07 Thailand 0.06

Vega-Lite specification:
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Chart description: The bar chart appears to show a trend of the US, UK and Malaysia being the highest percentage of people unsure if they are scared of contracting COVID19, all being in the 0.05% - 0.06% range.

Chart data: Don't know Response 0.05 United Kingdom 0.06 United States 0.03 China 0.02 Hong Kong 0.04 Indonesia 0.05 Malaysia 0.04 Philippines 0.03 Singapore 0.03 Taiwan 0.02 Thailand

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/1795.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#3e5c69"}, "x": {"type": "quantitative", "axis": {"title": "Don't know"}, "field": "Don\\'t know"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Response"}}, "title": ["Percentage of respondents worldwide scared", "of contracting coronavirus (COVID-19) as", "of March 1 , 2020 , by country"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Malaysia, Uk and USA have the greatest fear of contracting COVID. Thailand and Hong Kong have a very low fear compared to other countries listed.

Chart data: Don't know Response 0.05 United Kingdom 0.06 United States 0.03 China 0.02 Hong Kong 0.04 Indonesia 0.05 Malaysia 0.04 Philippines 0.03 Singapore 0.03 Taiwan 0.02 Thailand

Vega-Lite specification:
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Chart description: The United States shows as the respondent most afraid of contracting Covid-19.  Thailand is the least concerned. More than half the respondents are under 0.03.

Chart data: Don't know Response 0.05 United Kingdom 0.06 United States 0.03 China 0.02 Hong Kong 0.04 Indonesia 0.05 Malaysia 0.04 Philippines 0.03 Singapore 0.03 Taiwan 0.02 Thailand

Vega-Lite specification:
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Chart description: from 2000 the agricultural gdp has been consistently going through peaks and troughs but we get to later years the gdp falls dramatically more than it has risen from 2000.

Chart data: Year Agriculture Dec 31, 1999 0.0115 Dec 31, 2000 0.0113 Dec 31, 2001 0.0097 Dec 31, 2002 0.0112 Dec 31, 2003 0.0126 Dec 31, 2004 0.0114 Dec 31, 2005 0.01 Dec 31, 2006 0.0107 Dec 31, 2007 0.0107 Dec 31, 2008 0.0097 Dec 31, 2009 0.0104 Dec 31, 2010 0.0122 Dec 31, 2011 0.0116 Dec 31, 2012 0.0133 Dec 31, 2013 0.0119 Dec 31, 2014 0.0104 Dec 31, 2015 0.0094 Dec 31, 2016 0.0092

Vega-Lite specification:
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Chart description: 2017 had the highest Hardline value of just below 4,000. Hardlines increased every year between 2008-2017 until it dropped between 2017 and 2018.

Chart data: Year Hardlines* Dec 31, 2007 2217 Dec 31, 2008 2453 Dec 31, 2009 2619 Dec 31, 2010 2726 Dec 31, 2011 2755 Dec 31, 2012 2763 Dec 31, 2013 2992 Dec 31, 2014 3264 Dec 31, 2015 3574 Dec 31, 2016 3887 Dec 31, 2017 3632 Dec 31, 2018 3695.2

Vega-Lite specification:
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Chart description: Net sales of Dick's sporting goods in the United States rose from 2,000 million dollars in 2008 to 3,700 million dollars in 2019.

Chart data: Year Hardlines* Dec 31, 2007 2217 Dec 31, 2008 2453 Dec 31, 2009 2619 Dec 31, 2010 2726 Dec 31, 2011 2755 Dec 31, 2012 2763 Dec 31, 2013 2992 Dec 31, 2014 3264 Dec 31, 2015 3574 Dec 31, 2016 3887 Dec 31, 2017 3632 Dec 31, 2018 3695.2

Vega-Lite specification:
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Chart description: Net sales show a generally upward trend from 2008 to 2019, with the exception of 2015, which showed a small decrease.  The minimum net sales in the chart occurs in 2008, with just under 700 million US dollars.  The maximum net sales in the chart occurs in 2019, with over 1750 million US dollars.

Chart data: Year Footwear Dec 31, 2007 659 Dec 31, 2008 709 Dec 31, 2009 870 Dec 31, 2010 982 Dec 31, 2011 1115 Dec 31, 2012 1222 Dec 31, 2013 1416 Dec 31, 2014 1403 Dec 31, 2015 1529 Dec 31, 2016 1695 Dec 31, 2017 1719 Dec 31, 2018 1811.4

Vega-Lite specification:
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