delen/vistext huggingface dataset:
Chart description: There was a marked and linear increase until 2007, following which there has been a slow decline in the unauthorised immigrant population in USA. Numbers had increased 4x-fold initially, and hae decreased by about 1/6  between 2006 and 2017.

Chart data: Year Number of immigrants in millions Dec 31, 1989 3.5 Dec 31, 1994 5.7 Dec 31, 1999 8.6 Dec 31, 2004 11.1 Dec 31, 2005 11.6 Dec 31, 2006 12.2 Dec 31, 2007 11.7 Dec 31, 2008 11.3 Dec 31, 2009 11.4 Dec 31, 2010 11.5 Dec 31, 2011 11.2 Dec 31, 2012 11.2 Dec 31, 2013 11.1 Dec 31, 2014 11 Dec 31, 2015 10.7 Dec 31, 2016 10.5

Vega-Lite specification:
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Chart description: It is visible that the unauthorised immigration in the UNited States has increased significantly between years 1990 and 2006. After the year 2007, a decrease in the unauthorised immigration can be noticed, where the number falls from over 12 million immigrants to less than 11 million.

Chart data: Year Number of immigrants in millions Dec 31, 1989 3.5 Dec 31, 1994 5.7 Dec 31, 1999 8.6 Dec 31, 2004 11.1 Dec 31, 2005 11.6 Dec 31, 2006 12.2 Dec 31, 2007 11.7 Dec 31, 2008 11.3 Dec 31, 2009 11.4 Dec 31, 2010 11.5 Dec 31, 2011 11.2 Dec 31, 2012 11.2 Dec 31, 2013 11.1 Dec 31, 2014 11 Dec 31, 2015 10.7 Dec 31, 2016 10.5

Vega-Lite specification:
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Chart description: Petrobras has the highest revenue in billion u.s dollars.

Chart data: business Revenue in billion U.S. dollars Petrobras  (Brazil) 90.1 Pemex  (Mexico) 85.47 Petrobras Distribuidora  (Brazil) 25.18 PDVSA (Venezuela) 23.32 YPF  (Argentina) 22.99 Ecopetrol (Colombia) 21.02 Petroecuador  (Ecuador) 11.65 ENAP  (Chile) 8.3 YPFB  (Bolivia) 5.42 Petroperú  (Peru) 4.97

Vega-Lite specification:
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Chart description: The graph shows that Maharashtra was the state with the most coronavirus tests. The graph also shows that Bihar was the state with the least coronavirus tests.

Chart data: state of India Number of tests per million Maharashtra 150520.1 Rajasthan 147156.7 Jammu and Kashmir 143180.1 Madhya Pradesh 117890.1 Nagaland 99266.2 Himachal Pradesh 93035.6 Jharkhand 81960.8 National average 81582.4 Punjab 64810.1 Telangana 64431.3 Puducherry 61211.4 West Bengal 60220.7 Meghalaya 54964.5 Manipur 52460.4 Kerala 48469.7 Uttar Pradesh 46219.2 Tamil Nadu 45494.2 Karnataka 43753.8 Odisha 41885.5 Tripura 39252.6 Mizoram 35204.2 Uttarakhand 34322.4 Ladakh 29985.7 Sikkim 21153.3 Delhi 11968 Gujarat 10481 Goa 10075 Andhra Pradesh 6776 Arunachal Pradesh 4979 Chandigarh 3853 Haryana 2966 Assam 2694 Chhattisgarh 2228 Bihar 605

Vega-Lite specification:
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Chart description: This appears to be an informative chart. It does not revel any type of trends. It gives absolute numbers of tests per million of population per each Indian state.

Chart data: state of India Number of tests per million Maharashtra 150520.1 Rajasthan 147156.7 Jammu and Kashmir 143180.1 Madhya Pradesh 117890.1 Nagaland 99266.2 Himachal Pradesh 93035.6 Jharkhand 81960.8 National average 81582.4 Punjab 64810.1 Telangana 64431.3 Puducherry 61211.4 West Bengal 60220.7 Meghalaya 54964.5 Manipur 52460.4 Kerala 48469.7 Uttar Pradesh 46219.2 Tamil Nadu 45494.2 Karnataka 43753.8 Odisha 41885.5 Tripura 39252.6 Mizoram 35204.2 Uttarakhand 34322.4 Ladakh 29985.7 Sikkim 21153.3 Delhi 11968 Gujarat 10481 Goa 10075 Andhra Pradesh 6776 Arunachal Pradesh 4979 Chandigarh 3853 Haryana 2966 Assam 2694 Chhattisgarh 2228 Bihar 605

Vega-Lite specification:
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Chart description: there was a steady rise in unemployment from 2000 up to 2005 before it levelled off before continuing the year-on-year rise from 2008.

Chart data: Year Unemployment rate Dec 31, 1998 0.1146 Dec 31, 1999 0.1157 Dec 31, 2000 0.117 Dec 31, 2001 0.1192 Dec 31, 2002 0.1207 Dec 31, 2003 0.1213 Dec 31, 2004 0.1217 Dec 31, 2005 0.1209 Dec 31, 2006 0.1203 Dec 31, 2007 0.121 Dec 31, 2008 0.1268 Dec 31, 2009 0.1293 Dec 31, 2010 0.1308 Dec 31, 2011 0.1325 Dec 31, 2012 0.1342 Dec 31, 2013 0.1347 Dec 31, 2014 0.134 Dec 31, 2015 0.1331 Dec 31, 2016 0.1315 Dec 31, 2017 0.13 Dec 31, 2018 0.1291 Dec 31, 2019 0.1283

Vega-Lite specification:
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Chart description: The chart shows that the median income in U.S dollars has increased every year from 1990 to 2019 at a fairly constant rate.

Chart data: Year Median income in U.S. dollars Dec 31, 1989 35353 Dec 31, 1990 35939 Dec 31, 1991 36573 Dec 31, 1992 36959 Dec 31, 1993 38782 Dec 31, 1994 40611 Dec 31, 1995 42300 Dec 31, 1996 44568 Dec 31, 1997 46737 Dec 31, 1998 48831 Dec 31, 1999 50732 Dec 31, 2000 51407 Dec 31, 2001 51680 Dec 31, 2002 52680 Dec 31, 2003 54061 Dec 31, 2004 56194 Dec 31, 2005 58407 Dec 31, 2006 61355 Dec 31, 2007 61521 Dec 31, 2008 60088 Dec 31, 2009 60236 Dec 31, 2010 60974 Dec 31, 2011 62241 Dec 31, 2012 63815 Dec 31, 2013 66632 Dec 31, 2014 70697 Dec 31, 2015 72707 Dec 31, 2016 75938 Dec 31, 2017 78646 Dec 31, 2018 86011

Vega-Lite specification:
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Chart description: The population has been steadily increasing as can be seen by the chart.

Chart data: Response Share of urban population Dec 31, 2008 0.3059 Dec 31, 2009 0.3093 Dec 31, 2010 0.3128 Dec 31, 2011 0.3163 Dec 31, 2012 0.32 Dec 31, 2013 0.3238 Dec 31, 2014 0.3278 Dec 31, 2015 0.3318 Dec 31, 2016 0.336 Dec 31, 2017 0.3403 Dec 31, 2018 0.3447

Vega-Lite specification:
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Chart description: Ther was a significant drop in unemployment between 2009 and 2013, but there has been a slight recovery since then. Unemployment in 2020 is less than in 1999. There are random fluctuations up and down between many years.

Chart data: Year Unemployment rate Dec 31, 1998 0.0668 Dec 31, 1999 0.0696 Dec 31, 2000 0.0696 Dec 31, 2001 0.0573 Dec 31, 2002 0.0626 Dec 31, 2003 0.0605 Dec 31, 2004 0.0722 Dec 31, 2005 0.0657 Dec 31, 2006 0.0641 Dec 31, 2007 0.0588 Dec 31, 2008 0.0733 Dec 31, 2009 0.0489 Dec 31, 2010 0.043 Dec 31, 2011 0.0384 Dec 31, 2012 0.0369 Dec 31, 2013 0.0415 Dec 31, 2014 0.04 Dec 31, 2015 0.0442 Dec 31, 2016 0.0439 Dec 31, 2017 0.0401 Dec 31, 2018 0.0411 Dec 31, 2019 0.042

Vega-Lite specification:
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Chart description: The data fluctuates year on year. The high point is in 2009 (around 0.07). The low point is in 2013 (around 0.04) .

Chart data: Year Unemployment rate Dec 31, 1998 0.0668 Dec 31, 1999 0.0696 Dec 31, 2000 0.0696 Dec 31, 2001 0.0573 Dec 31, 2002 0.0626 Dec 31, 2003 0.0605 Dec 31, 2004 0.0722 Dec 31, 2005 0.0657 Dec 31, 2006 0.0641 Dec 31, 2007 0.0588 Dec 31, 2008 0.0733 Dec 31, 2009 0.0489 Dec 31, 2010 0.043 Dec 31, 2011 0.0384 Dec 31, 2012 0.0369 Dec 31, 2013 0.0415 Dec 31, 2014 0.04 Dec 31, 2015 0.0442 Dec 31, 2016 0.0439 Dec 31, 2017 0.0401 Dec 31, 2018 0.0411 Dec 31, 2019 0.042

Vega-Lite specification:
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Chart description: Ten regions of Canada produce wool. The average price of wool paid to producers in each region varies, with producers in Quebec receiving the least, at a little over 0.5 Canadian dollars per kilogram, and producers in Alberta receiving the most, at almost 2 Canadian dollars per kilogram. Producers in the other regions receive a fairly consistent price of around 1 Canadian dollar per kilogram.

Chart data: Average price per kilogram in Canadian dollars province of Canada 1.92 Alberta 1.24 British Columbia 1.12 Saskatchewan 1.01 Newfoundland and Labrador 1 Prince Edward Island 0.99 New Brunswick 0.9 Nova Scotia 0.9 Ontario 0.85 Manitoba 0.57 Quebec

Vega-Lite specification:
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Chart description: In Alberta they are paid the most for there wool whereas in Quebec they are paid the least compared to the other stated regions.

Chart data: Average price per kilogram in Canadian dollars province of Canada 1.92 Alberta 1.24 British Columbia 1.12 Saskatchewan 1.01 Newfoundland and Labrador 1 Prince Edward Island 0.99 New Brunswick 0.9 Nova Scotia 0.9 Ontario 0.85 Manitoba 0.57 Quebec

Vega-Lite specification:
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Chart description: Producers of wool in Alberta receive the most money for the wool that they produce. The amount that they receive is nearly twice that of any other region. Quebec receives the lowest amount for the wool that they produce.

Chart data: Average price per kilogram in Canadian dollars province of Canada 1.92 Alberta 1.24 British Columbia 1.12 Saskatchewan 1.01 Newfoundland and Labrador 1 Prince Edward Island 0.99 New Brunswick 0.9 Nova Scotia 0.9 Ontario 0.85 Manitoba 0.57 Quebec

Vega-Lite specification:
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Chart description: Savings rates over 2010-2019 have had an average decreasing trend. In 2014, 2015, and 2019, there was an increase in savings rate compared to the previous year. 2019 saw the largest increase in savings rate relative to the previous year.

Chart data: Year Savings rate 2019 0.147 2018 0.139 2017 0.14 2016 0.14 2015 0.145 2014* 0.144 2013* 0.143 2012 0.151 2011 0.156 2010 0.158

Vega-Lite specification:
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Chart description: Lemon production from 2000 to 2005 varies in volume with rises and dips in production, occasionally going over 1 millions tons. A sharp decline in production then follows around 2006 to its lowest point around 2008. production raised its previous levels again by 2010 with small variances until 2015. After this production plateaus to a stable level.

Chart data: Year Production in thousand tons Dec 31, 1999 840 Dec 31, 2000 996 Dec 31, 2001 801 Dec 31, 2002 1026 Dec 31, 2003 798 Dec 31, 2004 870 Dec 31, 2005 980 Dec 31, 2006 798 Dec 31, 2007 619 Dec 31, 2008 912 Dec 31, 2009 882 Dec 31, 2010 920 Dec 31, 2011 850 Dec 31, 2012 912 Dec 31, 2013 824 Dec 31, 2014 904 Dec 31, 2015 904 Dec 31, 2016 882 Dec 31, 2017 888

Vega-Lite specification:
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Chart description: Population has increased slightly over the last ten years.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.5996 Dec 31, 2009 0.6057 Dec 31, 2010 0.6117 Dec 31, 2011 0.6176 Dec 31, 2012 0.6235 Dec 31, 2013 0.6294 Dec 31, 2014 0.6351 Dec 31, 2015 0.6409 Dec 31, 2016 0.6465 Dec 31, 2017 0.6521 Dec 31, 2018 0.6576

Vega-Lite specification:
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Chart description: this chart shows a very slight increase in response to urbanization of Rwanda in the given years.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.1693 Dec 31, 2009 0.1693 Dec 31, 2010 0.1694 Dec 31, 2011 0.1694 Dec 31, 2012 0.1695 Dec 31, 2013 0.1697 Dec 31, 2014 0.17 Dec 31, 2015 0.1706 Dec 31, 2016 0.1713 Dec 31, 2017 0.1721 Dec 31, 2018 0.1731

Vega-Lite specification:
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Chart description: England have the highest rating. Singapore have the lowest rating. Only 5 countries have a rating over 250. 10 countries have a rating over 200.

Chart data: Rating Country 275 Australia 271 England 266 India 261 Pakistan 258 South Africa 242 New Zealand 230 Sri Lanka 229 Bengladesh 229 West Indies 228 Afghanistan 191 Zimbabwe 190 Ireland 186 United Arabe Emirates 182 Scotland 180 Nepal 179 Papua New Guinea 178 Netherlands 176 Oman 157 Namibia 142 Singapore

Vega-Lite specification:
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Chart description: All countries that are included show an incredibly similar average.

Chart data: Country Median age in years Monaco 53.1 Japan 47.3 Germany 47.1 Saint Pierre and Miquelon 46.5 Italy 45.5 Slovenia 44.5 Greece 44.5 Hong Kong 44.4 San Marino 44.4 Andorra 44.3 Isle of Man 44.2 Saint Barthelemy 44.1 Austria 44 Guernsey 43.8 Lithuania 43.7 Latvia 43.6 Bermuda 43.4 Liechtenstein 43.2 Croatia 43 Bulgaria 42.7

Vega-Lite specification:
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Chart description: From 2015-2019 the French national debt to GDP ratio remained largely consistent, exceeding 0.9 but not reaching 1.0Between 2019-2020 there is a jump in the level from just under 1.0 to almost 1.2. The chart then predicts the levels, and its prediction is overall a small but steady increase. By 2023 the chart predicts that the level will exceed 1.2 for the 1st time and will continue to rise through to 2025.

Chart data: Year National debt to GDP ratio 2025* 1.2331 2024* 1.2227 2023* 1.2127 2022* 1.1996 2021* 1.1857 2020* 1.1874 2019 0.9812 2018 0.9806 2017 0.9832 2016 0.9796 2015 0.9558

Vega-Lite specification:
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Chart description: The number of reads between 2006-2012 was on a slow upwards trend, but from 2012 onwards the trend is declining.

Chart data: Year AIR in thousands* Dec 31, 2005 554 Dec 31, 2006 619 Dec 31, 2007 589 Dec 31, 2008 639 Dec 31, 2009 664 Dec 31, 2010 633 Dec 31, 2011 631 Dec 31, 2012 647 Dec 31, 2013 541 Dec 31, 2014 469 Dec 31, 2015 483

Vega-Lite specification:
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Chart description: 2006 had quite a small amount of readers, there was a slight increase but then went back down in 2008. Went up to the highest in 2010. Went down slightly in 2011 and 2012 but went up again in 2013. After that though the sales went down and down.

Chart data: Year AIR in thousands* Dec 31, 2005 554 Dec 31, 2006 619 Dec 31, 2007 589 Dec 31, 2008 639 Dec 31, 2009 664 Dec 31, 2010 633 Dec 31, 2011 631 Dec 31, 2012 647 Dec 31, 2013 541 Dec 31, 2014 469 Dec 31, 2015 483

Vega-Lite specification:
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Chart description: The life expectancy hovers at roughly 70 years of age across the chart with a very slight increasing trend over the years.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 69.52 Dec 31, 2008 69.67 Dec 31, 2009 69.82 Dec 31, 2010 69.98 Dec 31, 2011 70.15 Dec 31, 2012 70.32 Dec 31, 2013 70.48 Dec 31, 2014 70.64 Dec 31, 2015 70.8 Dec 31, 2016 70.95 Dec 31, 2017 71.1

Vega-Lite specification:
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Chart description: The life expectancy has stayed broadly the same over the 10 year period. There has been a slight overall increase. The average life expectancy for children born in 2018 looks to be approximately 70 years.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 69.52 Dec 31, 2008 69.67 Dec 31, 2009 69.82 Dec 31, 2010 69.98 Dec 31, 2011 70.15 Dec 31, 2012 70.32 Dec 31, 2013 70.48 Dec 31, 2014 70.64 Dec 31, 2015 70.8 Dec 31, 2016 70.95 Dec 31, 2017 71.1

Vega-Lite specification:
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Chart description: The length of paved roads in Singapore increased from around 9000 lane-kilometres in 2009 to around 9500 lane-kilometres in 2019.

Chart data: Year Length of paved roads in lane-kilometers Dec 31, 2008 8848 Dec 31, 2009 8895 Dec 31, 2010 9045 Dec 31, 2011 9081 Dec 31, 2012 9178 Dec 31, 2013 9233 Dec 31, 2014 9246 Dec 31, 2015 9310 Dec 31, 2016 9293 Dec 31, 2017 9405 Dec 31, 2018 9509

Vega-Lite specification:
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Chart description: the number of licenses is stable between 2000 and 2006, at which point numbers decline. there is a gradual increase from 2010 onwards, with a sharper increase around 2017.

Chart data: Year Number of licenses in millions Dec 31, 1999 37.61 Dec 31, 2000 37.86 Dec 31, 2001 37.95 Dec 31, 2002 37.56 Dec 31, 2003 37.95 Dec 31, 2004 37.56 Dec 31, 2005 38.42 Dec 31, 2006 36.78 Dec 31, 2007 35.58 Dec 31, 2008 36.23 Dec 31, 2009 36.26 Dec 31, 2010 36.29 Dec 31, 2011 37.58 Dec 31, 2012 35.99 Dec 31, 2013 37.06 Dec 31, 2014 38.07 Dec 31, 2015 38.56 Dec 31, 2016 38.4 Dec 31, 2017 39.18 Dec 31, 2018 41.4 Dec 31, 2019 38.49

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