delen/vistext huggingface dataset:
Chart description: Slovakia has the least amount of refusalsBulgaria has the highest amount of refusalsPoland, Croatia and Spain all have the same amount of refusals.

Chart data: 2015 Country 0.129 Belgium 0.4722 Bulgaria 0.163 Croatia 0.455 Cyprus 0.333 Estonia 0.13 Ireland 0.303 Italy 0.31 Latvia 0.286 Lithuania 0.156 Poland 0.181 Romania 0.103 Slovakia 0.153 Spain 0.342 United Kingdom

Vega-Lite specification:
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Chart description: In 2015  Slovakia is the country from the chart that have the least of share of family refusals to consent to organ donation. And the Country from the chart that have the most of share of family refusals to consent to organ donation is Bulgaria.

Chart data: 2015 Country 0.129 Belgium 0.4722 Bulgaria 0.163 Croatia 0.455 Cyprus 0.333 Estonia 0.13 Ireland 0.303 Italy 0.31 Latvia 0.286 Lithuania 0.156 Poland 0.181 Romania 0.103 Slovakia 0.153 Spain 0.342 United Kingdom

Vega-Lite specification:
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Chart description: There are 17 countries represented. Latvia shows the most refusals. Malta shows the least refusals.

Chart data: Country 2017 Belgiu  0.245; Country: Belgium Bulgari  0.302; Country: Bulgaria Cypru  0.313; Country: Cyprus Estoni  0.286; Country: Estonia Greec  0.25; Country: Greece Hungar  0.092; Country: Hungary Irelan  0.19; Country: Ireland Ital  0.287; Country: Italy Latvi  0.457; Country: Latvia Lithuani  0.333; Country: Lithuania Malt  0.059; Country: Malta Polan  0.132; Country: Poland Romani  0.295; Country: Romania Slovaki  0.122; Country: Slovakia Sloveni  0.158; Country: Slovenia Spai  0.13; Country: Spain United Kingdo  0.352; Country: United Kingdom

Vega-Lite specification:
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Chart description: Vietnam and China have the highest share of people expecting to return to normal after Covid at more than 0.80. Japan is showing the lowest level expectation of returning to normal after Covid at 0.40.

Chart data: Response March 12-14 Australia 0.51 Canada 0.6 France 0.68 Germany 0.54 Italy 0.71 Japan 0.41 Russia 0.71 UK 0.49 US 0.64 Vietnam 0.89 China 0.89 India 0.82

Vega-Lite specification:
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Chart description: The US public school revenue from the Federal government has gone up from roughly 20,000 millions USD in 1989 to almost 60,000 million USD in 2009.

Chart data: Year Federal Dec 31, 1988 21709 Dec 31, 1989 22112 Dec 31, 1990 22744 Dec 31, 1991 24789 Dec 31, 1992 26772 Dec 31, 1993 27316 Dec 31, 1994 27732 Dec 31, 1995 27338 Dec 31, 1996 27933 Dec 31, 1997 30350 Dec 31, 1998 32957 Dec 31, 1999 35390 Dec 31, 2000 36754 Dec 31, 2001 41132 Dec 31, 2002 45544 Dec 31, 2003 49805 Dec 31, 2004 51665 Dec 31, 2005 52832 Dec 31, 2006 51064 Dec 31, 2007 49806 Dec 31, 2008 58433

Vega-Lite specification:
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Chart description: There has been an increase in the amount of revenue over time with an unexplained dip in 1995.

Chart data: Year State Dec 31, 1988 167386 Dec 31, 1989 171033 Dec 31, 1990 173891 Dec 31, 1991 174054 Dec 31, 1992 175889 Dec 31, 1993 187762 Dec 31, 1994 177621 Dec 31, 1995 195576 Dec 31, 1996 203692 Dec 31, 1997 215501 Dec 31, 1998 227537 Dec 31, 1999 241105 Dec 31, 2000 252073 Dec 31, 2001 256318 Dec 31, 2002 260133 Dec 31, 2003 258252 Dec 31, 2004 263522 Dec 31, 2005 269030 Dec 31, 2006 285488 Dec 31, 2007 295058 Dec 31, 2008 285392

Vega-Lite specification:
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Chart description: 1990 shows the lowest level of spending on public school revenue resources in the United States. Every year the spend increases.

Chart data: Year Local Dec 31, 1988 131142 Dec 31, 1989 169936 Dec 31, 1990 172100 Dec 31, 1991 176487 Dec 31, 1992 181407 Dec 31, 1993 186451 Dec 31, 1994 188008 Dec 31, 1995 188789 Dec 31, 1996 192721 Dec 31, 1997 199689 Dec 31, 1998 206382 Dec 31, 1999 210570 Dec 31, 2000 218086 Dec 31, 2001 223151 Dec 31, 2002 228618 Dec 31, 2003 240830 Dec 31, 2004 247192 Dec 31, 2005 256549 Dec 31, 2006 265282 Dec 31, 2007 265461 Dec 31, 2008 267029

Vega-Lite specification:
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Chart description: The average accommodation costs in Houston between these dates appears to be $125 roughly. The costs appear to be quite consistent through most of the year but costs reduce from September  to December.

Chart data: Month 2016 De  104; Month: Dec No  117; Month: Nov Oc  125; Month: Oct Se  119; Month: Sep Au  125; Month: Aug Ju  124; Month: Jul Ju  132; Month: Jun Ma  144; Month: May Ap  145; Month: Apr Ma  143; Month: Mar Fe  142; Month: Feb Ja  135; Month: Jan

Vega-Lite specification:
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Chart description: Between 2013 to 2017, accommodation costs were higher for April, January, February, March, and May.  The lowest cost month was December, whilst medium costs were during August, July, November, October and September.

Chart data: Month 2016 De  104; Month: Dec No  117; Month: Nov Oc  125; Month: Oct Se  119; Month: Sep Au  125; Month: Aug Ju  124; Month: Jul Ju  132; Month: Jun Ma  144; Month: May Ap  145; Month: Apr Ma  143; Month: Mar Fe  142; Month: Feb Ja  135; Month: Jan

Vega-Lite specification:
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Chart description: February demonstrated a marked increase while most months are relatively close in figures without huge varience.

Chart data: 2017 Month 115 Sep 116 Aug 112 Jul 118 Jun 132 May 125 Apr 131 Mar 148 Feb 122 Jan

Vega-Lite specification:
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Chart description: The chart shows that February is the most expensive month to stay overnight in Houston whilst July is the cheaper month to stay overnight. This is for the year 2017.

Chart data: 2017 Month 115 Sep 116 Aug 112 Jul 118 Jun 132 May 125 Apr 131 Mar 148 Feb 122 Jan

Vega-Lite specification:
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Chart description: In the northwest territories, from 2005 -2018. Life expectancy at birth has remained static with life expectancy remaining between 75 & 80.

Chart data: Northwest Territories Year 77 2016-2018 77.1 2015-2017 77.2 2014-2016 77.6 2013-2015 77.6 2012-2014 77.8 2011-2013 77.9 2010-2012 77.5 2009-2011 76.7 2008-2010 76.6 2007-2009 76.4 2006-2008 77.2 2005-2007

Vega-Lite specification:
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Chart description: The condition of the runways took a steep decline shortly after 2010, and has stayed consistently poor since.

Chart data: Year Poor condition Dec 31, 1999 5 Dec 31, 2004 4 Dec 31, 2009 3 Dec 31, 2010 2 Dec 31, 2011 2 Dec 31, 2012 2 Dec 31, 2013 2 Dec 31, 2014 2 Dec 31, 2015 2 Dec 31, 2016 2 Dec 31, 2017 2 Dec 31, 2018 2

Vega-Lite specification:
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Chart description: Fair condition of runway pavements on NPIAS airports in the United Statesis is on a downward trend from 2000 to 2010 and is relatively flat from 2010 to 2019.

Chart data: Year Fair condition Dec 31, 1999 22 Dec 31, 2004 21 Dec 31, 2009 18 Dec 31, 2010 18 Dec 31, 2011 18 Dec 31, 2012 17 Dec 31, 2013 17 Dec 31, 2014 18 Dec 31, 2015 18 Dec 31, 2016 18 Dec 31, 2017 18 Dec 31, 2018 18

Vega-Lite specification:
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Chart description: Many of the insurance providers saw a value of under 500 million euros.

Chart data: insurance companies Life insurance and capitalization Crédit Agricole Assurances 21177 Caisse Nationale de Prévoyance 17799 Axa France Assurance 10836 BNP Paribas Cardiff 13822 Crédit Mutuel 12593 Société Générale  Insurance 10419 BPCE 10059 Generali 7117 Allianz 4821 Groupama-Gan 2639 Aviva 4633 Covéa (GMF-MAAF-MMA) 3469 AG2R La Mondiale 4393 Swiss Life 3288 Macif 1917 HSBC Assurances 2019 MACSF 1386 Other companies** 7139

Vega-Lite specification:
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Chart description: Chrome's market share has increased in a fairly linear fashion from below 0.1 in 2009, to 0.6 in 2019.

Chart data: Year Chrome Dec 31, 2008 0.0313 Dec 31, 2009 0.1034 Dec 31, 2010 0.2012 Dec 31, 2011 0.303 Dec 31, 2012 0.3723 Dec 31, 2013 0.4177 Dec 31, 2014 0.4489 Dec 31, 2015 0.4971 Dec 31, 2016 0.5129 Dec 31, 2017 0.5651 Dec 31, 2018 0.5985

Vega-Lite specification:
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Chart description: market looks to have reached its peak increase was linear between 2010-2014.

Chart data: Year Safari Dec 31, 2008 0.029 Dec 31, 2009 0.0412 Dec 31, 2010 0.0527 Dec 31, 2011 0.0721 Dec 31, 2012 0.0897 Dec 31, 2013 0.1148 Dec 31, 2014 0.1106 Dec 31, 2015 0.1133 Dec 31, 2016 0.1209 Dec 31, 2017 0.1139 Dec 31, 2018 0.1192

Vega-Lite specification:
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Chart description: In Europe the market share of the leading internet browsers rose sharply between 2014 and 2018. The highest rate of growth was during 2014. Market share growth rate started to slow down during the years 2016 to 2019.

Chart data: Year Edge Legacy Dec 31, 2008 0 Dec 31, 2009 0 Dec 31, 2010 0 Dec 31, 2011 0 Dec 31, 2012 0 Dec 31, 2013 0 Dec 31, 2014 0.0054 Dec 31, 2015 0.0309 Dec 31, 2016 0.0451 Dec 31, 2017 0.0479 Dec 31, 2018 0.0514

Vega-Lite specification:
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Chart description: SINCE 2009 AND UNTIL 2019 INCLUSIVE THE MARKET SHARE HELD BY THE LEADING INTRANET BROWSERS HAS MORE THAN TREBLED FROM POINT 0.010 TO 0.035.

Chart data: Year Other Dec 31, 2008 0.01 Dec 31, 2009 0.0081 Dec 31, 2010 0.0065 Dec 31, 2011 0.0096 Dec 31, 2012 0.0206 Dec 31, 2013 0.0304 Dec 31, 2014 0.0334 Dec 31, 2015 0.0346 Dec 31, 2016 0.0331 Dec 31, 2017 0.0288 Dec 31, 2018 0.027

Vega-Lite specification:
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Chart description: The data for the national minimum wage in the UK starts from 2016.  There is no data shown before this date.  The NMW commenced at £7.50 in 2016 and has steadily and evenly to £8.50 in 2020.

Chart data: Year 25 and over Dec 31, 1998 0 Dec 31, 1999 0 Dec 31, 2000 0 Dec 31, 2001 0 Dec 31, 2002 0 Dec 31, 2003 0 Dec 31, 2004 0 Dec 31, 2005 0 Dec 31, 2006 0 Dec 31, 2007 0 Dec 31, 2008 0 Dec 31, 2009 0 Dec 31, 2010 0 Dec 31, 2011 0 Dec 31, 2012 0 Dec 31, 2013 0 Dec 31, 2014 0 Dec 31, 2015 7.2 Dec 31, 2016 7.5 Dec 31, 2017 7.83 Dec 31, 2018 8.21 Dec 31, 2019 8.72

Vega-Lite specification:
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Chart description: The uk didn’t have a minimum wage before 2016. Between 2016 the minimum wage grew from just £7 to just over £8.20. The national minimum wage has never decreased, it has only ever increased.

Chart data: Year 25 and over Dec 31, 1998 0 Dec 31, 1999 0 Dec 31, 2000 0 Dec 31, 2001 0 Dec 31, 2002 0 Dec 31, 2003 0 Dec 31, 2004 0 Dec 31, 2005 0 Dec 31, 2006 0 Dec 31, 2007 0 Dec 31, 2008 0 Dec 31, 2009 0 Dec 31, 2010 0 Dec 31, 2011 0 Dec 31, 2012 0 Dec 31, 2013 0 Dec 31, 2014 0 Dec 31, 2015 7.2 Dec 31, 2016 7.5 Dec 31, 2017 7.83 Dec 31, 2018 8.21 Dec 31, 2019 8.72

Vega-Lite specification:
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Chart description: No data is shown from 2008 onwards and so I cannot come to a full conclusion for this graph.

Chart data: Year 18 to 21* Dec 31, 1998 3 Dec 31, 1999 3.2 Dec 31, 2000 3.5 Dec 31, 2001 3.5 Dec 31, 2002 3.8 Dec 31, 2003 4.1 Dec 31, 2004 4.25 Dec 31, 2005 4.45 Dec 31, 2006 4.6 Dec 31, 2007 4.77 Dec 31, 2008 4.83 Dec 31, 2009 0 Dec 31, 2010 0 Dec 31, 2011 0 Dec 31, 2012 0 Dec 31, 2013 0 Dec 31, 2014 0 Dec 31, 2015 0 Dec 31, 2016 0 Dec 31, 2017 0 Dec 31, 2018 0 Dec 31, 2019 0

Vega-Lite specification:
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Chart description: Moscow to Saint Peters burg was the cheapest flight and Moscow to yekaterinburg being the most expensive.

Chart data: destination of most affordable one-way tickets End of March 2020 Moscow - Krasnodar 2800 Moscow - Mineralnye Vody 2800 Moscow - Saint Petersburg 2400 Moscow - Volgograd 3400 Moscow - Yekaterinburg 3900 Moscow - Perm 3500

Vega-Lite specification:
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Chart description: There is a general consistency in costings other than the Omsk data which appears to be an outlier.

Chart data: destination of most affordable one-way tickets April and May 2020 Moscow - Krasnodar 5900 Moscow - Mineralnye Vody 5900 Moscow - Saint Petersburg 4900 Moscow - Volgograd 6900 Moscow - Yekaterinburg 6600 Moscow - Perm 6900 Moscow - Omsk 9500

Vega-Lite specification:
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Chart description: The most expensive route is Moscow - Irkutsk, which costs around 9,000 rubles. Three other destinations stand out as being noticeably more expensive than the majority: Krasnoyarsk (7,000 rubles), Novosibirsk (5,600 rubles) and Omsk (5,000). Other than the aforementioned routes, all the remaining nine are much cheaper, ranging from 2,200 rubles to 2,600 rubles.

Chart data: destination of most affordable one-way tickets June 2020 Moscow - Krasnodar 3000 Moscow - Mineralnye Vody 2400 Moscow - Saint Petersburg 2600 Moscow - Volgograd 3100 Moscow - Yekaterinburg 3200 Moscow - Perm 3100 Moscow - Omsk 5000 Moscow - Novosibirsk 5600 Moscow - Kazan 3000 Moscow - Krasnoyarsk 7100 Moscow - Irkutsk 9000 Moscow - Ufa 2500 Moscow - Sochi 2600

Vega-Lite specification:
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Chart description: The most expensive flight on this bar chart is Moscow to Irkutsk. In Mar to Jun 2020 there were 9 flights costing less than 8000 rubels. Four flights from Moscow cost over 4000 rubels one way in Mar to Jun 2020.

Chart data: destination of most affordable one-way tickets June 2020 Moscow - Krasnodar 3000 Moscow - Mineralnye Vody 2400 Moscow - Saint Petersburg 2600 Moscow - Volgograd 3100 Moscow - Yekaterinburg 3200 Moscow - Perm 3100 Moscow - Omsk 5000 Moscow - Novosibirsk 5600 Moscow - Kazan 3000 Moscow - Krasnoyarsk 7100 Moscow - Irkutsk 9000 Moscow - Ufa 2500 Moscow - Sochi 2600

Vega-Lite specification:
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Chart description: There are two months which are less than 0.05.  There are five months which are more than 0.10.  There are five months which are between 0.05 and 0.10.  No months are below 0.05.  No months are above 0.15.

Chart data: Month 2016 De  0.147; Month: Dec No  0.104; Month: Nov Oc  0.118; Month: Oct Se  0.109; Month: Sep Au  0.07; Month: Aug Ju  0.128; Month: Jul Ju  0.059; Month: Jun Ma  0.029; Month: May Ap  0.073; Month: Apr Ma  0.087; Month: Mar Fe  0.066; Month: Feb Ja  0.045; Month: Jan

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/6517.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#1A1A1A"}, "x": {"type": "nominal", "axis": {"labelAngle": -45}, "bin": false, "field": "Month"}, "y": {"type": "quantitative", "axis": {"title": "2016"}, "field": "2016"}}, "title": ["Monthly rate of change in foreign exchange", "earnings from tourism in India from 2015", "to 2016 , with estimates until 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: From March to February appears to be the months with the highest tourism income for India in 2018September through Mary appears to be the lowest tourism income in 2018.

Chart data: 2018* Month −0.087 Dec −0.097 Nov −0.085 Oct −0.022 Sep 0.098 Aug 0.075 Jul 0.055 Jun −0.006 May 0.076 Apr 0.191 Mar 0.206 Feb 0.203 Jan

Vega-Lite specification:
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Chart description: The graph shows a strong trend in the increase of foreign nationals. The graph shows a continuing upward trend.

Chart data: Year Foreign Dec 31, 2008 155705 Dec 31, 2009 167954 Dec 31, 2010 183133 Dec 31, 2011 195511 Dec 31, 2012 207511 Dec 31, 2013 219675 Dec 31, 2014 229765 Dec 31, 2015 243639 Dec 31, 2016 249452 Dec 31, 2017 257572 Dec 31, 2018 267629

Vega-Lite specification:
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Chart description: The value of the brand increased year on year, suggesting that the value of the brand increased.

Chart data: Year Brand value (Brand Finance) Dec 31, 2010 170 Dec 31, 2011 302 Dec 31, 2012 332 Dec 31, 2013 510 Dec 31, 2014 800 Dec 31, 2015 905 Dec 31, 2016 1021 Dec 31, 2017 1331 Dec 31, 2018 1407 Dec 31, 2019 0

Vega-Lite specification:
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Chart description: The bar graph indicates that certain categories have a higher prevalence (i.e. more than half) of male journalists covering that topic in print news media. The topic with the highest prevalence of male journalists as compared to female journalists is sports. The topics with the most equal distribution of male and female journalists covering them in print media are health and lifestyle and leisure.

Chart data: Male news topic 0.9 Sports 0.67 Technology and media 0.66 International news and politics 0.64 Business and economy 0.63 Arts and culture 0.61 U.S. elections 0.59 U.S. policy 0.59 Legal 0.57 Weather 0.56 Crime and police 0.55 Science and environment 0.54 Religion 0.54 Social and justice 0.52 Education 0.51 Entertainment 0.48 Lifestyle and leisure 0.42 Health

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