delen/vistext huggingface dataset:
Chart description: The number of deaths has been anywhere between about 320 to 550 a year. The lowest amount of deaths seems to be sometime between 2005 and 2010, with the lowest point likely being somewhere around 2007. It is a graph with many peaks and it's hard to discern to which years exactly those peaks fall to.

Chart data: Year Number of deaths Dec 31, 1992 435 Dec 31, 1993 466 Dec 31, 1994 511 Dec 31, 1995 508 Dec 31, 1996 524 Dec 31, 1997 538 Dec 31, 1998 533 Dec 31, 1999 441 Dec 31, 2000 452 Dec 31, 2001 383 Dec 31, 2002 432 Dec 31, 2003 469 Dec 31, 2004 401 Dec 31, 2005 336 Dec 31, 2006 335 Dec 31, 2007 383 Dec 31, 2008 406 Dec 31, 2009 381 Dec 31, 2010 393 Dec 31, 2011 468 Dec 31, 2012 466 Dec 31, 2013 517 Dec 31, 2014 447 Dec 31, 2015 460 Dec 31, 2016 484 Dec 31, 2017 518 Dec 31, 2018 443

Vega-Lite specification:
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Chart description: Youth violent crime severity in Canada dropped to its lowest level between the years 2010 and 2015.

Chart data: Year Youth violent crime severity index Dec 31, 1999 89.31 Dec 31, 2000 91.38 Dec 31, 2001 87.26 Dec 31, 2002 92.62 Dec 31, 2003 87.84 Dec 31, 2004 94.11 Dec 31, 2005 100 Dec 31, 2006 102.05 Dec 31, 2007 95.73 Dec 31, 2008 96.69 Dec 31, 2009 93.24 Dec 31, 2010 87.47 Dec 31, 2011 82.34 Dec 31, 2012 71.23 Dec 31, 2013 64.84 Dec 31, 2014 66.39 Dec 31, 2015 70.93 Dec 31, 2016 80.51 Dec 31, 2017 77.06 Dec 31, 2018 78.82

Vega-Lite specification:
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Chart description: Youth violent crime severity in Canada has ranged between just over 60 in 2016 to just over 100 in 2007. There isn't a discernible steady rise or fall. There is a small rise between 2000 where the index is at approximately 90,and 2007. There is then a longer, steeper fall to the 2016 index of just over 60, followed by a rise to around 80 in 2019.

Chart data: Year Youth violent crime severity index Dec 31, 1999 89.31 Dec 31, 2000 91.38 Dec 31, 2001 87.26 Dec 31, 2002 92.62 Dec 31, 2003 87.84 Dec 31, 2004 94.11 Dec 31, 2005 100 Dec 31, 2006 102.05 Dec 31, 2007 95.73 Dec 31, 2008 96.69 Dec 31, 2009 93.24 Dec 31, 2010 87.47 Dec 31, 2011 82.34 Dec 31, 2012 71.23 Dec 31, 2013 64.84 Dec 31, 2014 66.39 Dec 31, 2015 70.93 Dec 31, 2016 80.51 Dec 31, 2017 77.06 Dec 31, 2018 78.82

Vega-Lite specification:
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Chart description: From 2000 the data indicates that the violent crime of youths peaked between 2005 and 2010 before it dropping dramatically. It then started to even out.

Chart data: Year Youth violent crime severity index Dec 31, 1999 89.31 Dec 31, 2000 91.38 Dec 31, 2001 87.26 Dec 31, 2002 92.62 Dec 31, 2003 87.84 Dec 31, 2004 94.11 Dec 31, 2005 100 Dec 31, 2006 102.05 Dec 31, 2007 95.73 Dec 31, 2008 96.69 Dec 31, 2009 93.24 Dec 31, 2010 87.47 Dec 31, 2011 82.34 Dec 31, 2012 71.23 Dec 31, 2013 64.84 Dec 31, 2014 66.39 Dec 31, 2015 70.93 Dec 31, 2016 80.51 Dec 31, 2017 77.06 Dec 31, 2018 78.82

Vega-Lite specification:
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Chart description: The area chart shows the slight decrease in the fertility rate in Central African Republic from 2008 to 2018. At the beginning, it is slightly above 5, in 2018 it fell down to under 5.

Chart data: Year Number of children born per woman Dec 31, 2007 5.29 Dec 31, 2008 5.25 Dec 31, 2009 5.22 Dec 31, 2010 5.17 Dec 31, 2011 5.12 Dec 31, 2012 5.07 Dec 31, 2013 5.01 Dec 31, 2014 4.94 Dec 31, 2015 4.87 Dec 31, 2016 4.8 Dec 31, 2017 4.72

Vega-Lite specification:
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Chart description: Fertility, measured in the number of children born per woman in the Central African Republic, has decreased from 2008 to 2018.

Chart data: Year Number of children born per woman Dec 31, 2007 5.29 Dec 31, 2008 5.25 Dec 31, 2009 5.22 Dec 31, 2010 5.17 Dec 31, 2011 5.12 Dec 31, 2012 5.07 Dec 31, 2013 5.01 Dec 31, 2014 4.94 Dec 31, 2015 4.87 Dec 31, 2016 4.8 Dec 31, 2017 4.72

Vega-Lite specification:
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Chart description: Spain has the most stores with over 1500. In second place is Russian Federation with just over 500. In third place is Italy and the country with the least amount is UK.

Chart data: Country Number of stores Spain 1590 Russian Federation 549 Italy 388 Portugal 334 France 288 Poland 244 Turkey 226 Greece 164 Germany 130 Romania 128 United Kingdom 108

Vega-Lite specification:
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Chart description: 2003 had the highest youth unemployment rate. 2007 had the lowest youth unemployment rate.

Chart data: Year Youth unemployment rate Dec 31, 1998 0.1008 Dec 31, 1999 0.0998 Dec 31, 2000 0.0871 Dec 31, 2001 0.0985 Dec 31, 2002 0.1097 Dec 31, 2003 0.103 Dec 31, 2004 0.0793 Dec 31, 2005 0.0801 Dec 31, 2006 0.0707 Dec 31, 2007 0.0924 Dec 31, 2008 0.0997 Dec 31, 2009 0.0938 Dec 31, 2010 0.0898 Dec 31, 2011 0.0865 Dec 31, 2012 0.0841 Dec 31, 2013 0.0905 Dec 31, 2014 0.0881 Dec 31, 2015 0.1034 Dec 31, 2016 0.0843 Dec 31, 2017 0.0793 Dec 31, 2018 0.0894 Dec 31, 2019 0.095

Vega-Lite specification:
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Chart description: The youth unemployment rate remains similar for several years after 2000. Just before 2005, the youth unemployment rate spikes from around 0.07 to approximately 0.10. After the spike, it declines to below 0.05 over the course of a couple of years. Youth unemployment then goes on an upward trend until after 2015, peaking above 0.12. It then starts to decline again.

Chart data: Year Youth unemployment rate Dec 31, 1998 0.0687 Dec 31, 1999 0.0704 Dec 31, 2000 0.0711 Dec 31, 2001 0.0715 Dec 31, 2002 0.0937 Dec 31, 2003 0.1059 Dec 31, 2004 0.0883 Dec 31, 2005 0.0624 Dec 31, 2006 0.0554 Dec 31, 2007 0.0558 Dec 31, 2008 0.0606 Dec 31, 2009 0.0762 Dec 31, 2010 0.082 Dec 31, 2011 0.071 Dec 31, 2012 0.0724 Dec 31, 2013 0.0943 Dec 31, 2014 0.1119 Dec 31, 2015 0.1275 Dec 31, 2016 0.1086 Dec 31, 2017 0.1064 Dec 31, 2018 0.1028 Dec 31, 2019 0.1006

Vega-Lite specification:
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Chart description: Bill laimbeer has the most number of rebounds. Andre Drummond has the second largest number of rebounds. Ray Scott has the least number of rebounds.

Chart data: Rebounds Player 9430 Bill Laimbeer 8199 Andre Drummond 8063 Bob Lanier 7264 Ben Wallace 6299 Dennis Rodman 5200 Larry Foust 4986 Walter Dukes 4947 Dave DeBusschere 4583 Bailey Howell 4508 Ray Scott

Vega-Lite specification:
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Chart description: Ray Scott had the lowest number of rebounds out of all the players and whilst Bill Laimbeer had the highest number of rebounds. The number of rebounds ranged from 4,500 and 9,500.

Chart data: Rebounds Player 9430 Bill Laimbeer 8199 Andre Drummond 8063 Bob Lanier 7264 Ben Wallace 6299 Dennis Rodman 5200 Larry Foust 4986 Walter Dukes 4947 Dave DeBusschere 4583 Bailey Howell 4508 Ray Scott

Vega-Lite specification:
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Chart description: Alexis Sanchez has 2000 more likes than anyone else while Andrea ranocchia has the least.

Chart data: Player Number of Facebook page likes in thousands Alexis Sánchez 4900 Romelu Lukaku 2900 Ashley Young 2480 Radja Nainggolan 592.8 Kwadwo Asamoah 556.2 Matteo Darmian 314.7 Stefan De Vrij 244.3 Danilo D'Ambrosio 198.7 Ivan Perisic 165.9 Andrea Ranocchia 94

Vega-Lite specification:
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Chart description: The favourite leisure activity of generation X is watching TV, closely followed by reading. These 2 activities are the only ones that go above 0.2 on the Y axis.

Chart data: Response Share of respondents Watch TV 0.45 Reading 0.35 Computer/internet 0.19 Spending time with family and friends 0.19 Watching/going to the movies 0.13 Exercise/working out 0.12 Walking/running/jogging 0.11 Playing video games and computer/internet games 0.1 Concerts/listening to/playing music 0.09 Shopping 0.07

Vega-Lite specification:
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Chart description: Interent user penetration in Nigeria grew by 0.45 from 2015 to 2022.

Chart data: Response Share of population 2025* 0.653 2024* 0.625 2023* 0.593 2022* 0.555 2021* 0.512 2020 0.466 2019 0.418 2018 0.369 2017 0.322 2016 0.277 2015 0.237

Vega-Lite specification:
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Chart description: Mariqui was rated as being perceived to be the most successful overseas player. Fredi and Giovanni were perceived to be the least success, equal amounts voted for them. Perceptions of success of overseas players are shown to have a wide range and variation.

Chart data: Response Share of respondents Mariqui 0.27 Christian Danalache 0.19 Dario Conca 0.15 Didier Drogba 0.09 Seydou Keita 0.08 Peter Utaka 0.06 Aleksandar Jevtic 0.04 Lucas Barrios 0.03 Cleo 0.03 Others 0.02 Giovanni Moreno 0.01 Fredi Kanoute 0.01 Nicolas Anelka 0.01

Vega-Lite specification:
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Chart description: Mariqui received the highest share of respondents being more than 0.25, being the one to be perceived as most successful in the CSL amongst the sample. It appears that Fredi Kanoute, Giovanni Moreno, and Nicolas Anelka all scored the lowest share of respondents (among the names athletes) being just above 0.00. There are however other players who received a lower share of respondents but they have been combined into a bar titled other.

Chart data: Response Share of respondents Mariqui 0.27 Christian Danalache 0.19 Dario Conca 0.15 Didier Drogba 0.09 Seydou Keita 0.08 Peter Utaka 0.06 Aleksandar Jevtic 0.04 Lucas Barrios 0.03 Cleo 0.03 Others 0.02 Giovanni Moreno 0.01 Fredi Kanoute 0.01 Nicolas Anelka 0.01

Vega-Lite specification:
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Chart description: 1.  Alchohol specific deaths have fallen by approximately 700 in the last year to 7500. 2. This is still considerably higher than the 4500 in 1995. between 1995 the death rate rose steadily to a peak in 2006 of 9000. 3. between 2006 and 2014 the death rate remained fairly steady.

Chart data: Year Deaths Dec 31, 1993 4525 Dec 31, 1994 5029 Dec 31, 1995 5406 Dec 31, 1996 5976 Dec 31, 1997 6369 Dec 31, 1998 6721 Dec 31, 1999 6884 Dec 31, 2000 7499 Dec 31, 2001 7701 Dec 31, 2002 8164 Dec 31, 2003 8221 Dec 31, 2004 8386 Dec 31, 2005 8758 Dec 31, 2006 8724 Dec 31, 2007 9031 Dec 31, 2008 8664 Dec 31, 2009 8790 Dec 31, 2010 8748 Dec 31, 2011 8367 Dec 31, 2012 8416 Dec 31, 2013 8697 Dec 31, 2014 8758 Dec 31, 2015 7327 Dec 31, 2016 7697 Dec 31, 2017 7551

Vega-Lite specification:
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Chart description: Asian countries, above all Japan, have the highest growth of downloads of WhatsApp.

Chart data: Country Growth compared to previous quarter Japan 1.411 Vietnam 0.574 Singapore 0.35 South Korea 0.306 Thailand 0.269 South Africa 0.115 Philippines 0.09 Venezuela 0.054 Nigeria 0.031 Australia −0.021

Vega-Lite specification:
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Chart description: Life expectancy has been trending slightly upwards for the 10 years shown on the chart.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 68.25 Dec 31, 2008 69.19 Dec 31, 2009 70.27 Dec 31, 2010 70.81 Dec 31, 2011 70.94 Dec 31, 2012 71.16 Dec 31, 2013 71.19 Dec 31, 2014 71.19 Dec 31, 2015 71.48 Dec 31, 2016 71.78 Dec 31, 2017 71.58

Vega-Lite specification:
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Chart description: The number of Ford Fiesta's  in Great Britain was 1.5 million in 2000. The number fell to a low of approximately 1.25 million in around 2007/8, but then increased slowly to the 1.5 million mark again by 2020.

Chart data: Year Number of registered cars Dec 31, 1999 1524411 Dec 31, 2000 1489086 Dec 31, 2001 1431240 Dec 31, 2002 1366327 Dec 31, 2003 1319158 Dec 31, 2004 1263007 Dec 31, 2005 1223645 Dec 31, 2006 1214389 Dec 31, 2007 1214830 Dec 31, 2008 1228349 Dec 31, 2009 1252370 Dec 31, 2010 1270289 Dec 31, 2011 1303926 Dec 31, 2012 1345298 Dec 31, 2013 1389233 Dec 31, 2014 1435817 Dec 31, 2015 1475843 Dec 31, 2016 1488837 Dec 31, 2017 1508268 Dec 31, 2018 1515652

Vega-Lite specification:
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Chart description: The bar graph shows that the highest number of enterprises fell into the 100000-249999 GBP category. The smallest number of enterprises fell into the 5 billion and over GBP category.

Chart data: Year Number of enterprises in thousand 0 - 49,999 GBP 411.84 50,000 - 99,999 GBP 622.66 100,000 - 249,999 GBP 901.41 250,000 - 499,999 GBP 351.58 500,000 - 999,999 GBP 203.02 1 million - 1.999 million GBP 113.96 2 million - 4,999 million GBP 78.99 5 million - 9,999 million GBP 30.09 1 billion - 4.999 billion GBP 27.29 5 billion GBP and over 8.88

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Chart description: The consumption of tomatoes gradually increased in Austria from 2008 to 2017, beginning with around 200,000 tonnes being consumed in 2008 and ending with a bit over 250,000 tonnes being consumed in 2018. The greatest volume of tomato consumption was in 2017/2018. The smallest volume of tomato consumption was in 2008/09.

Chart data: Consumption volume in tonnes Year 255625 2017/18 255966 2016/17 251331 2015/16 240751 2014/15 252283 2013/14 237288 2012/13 234171 2011/12 228716 2010/11 212540 2009/10 211364 2008/09

Vega-Lite specification:
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Chart description: As the years go on, the annual consumption volume of tomatoes gradually increases. All are in the range of 20,000 to 25,000.

Chart data: Consumption volume in tonnes Year 255625 2017/18 255966 2016/17 251331 2015/16 240751 2014/15 252283 2013/14 237288 2012/13 234171 2011/12 228716 2010/11 212540 2009/10 211364 2008/09

Vega-Lite specification:
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Chart description: As each year passes the life expectancy age increases.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 72.8 Dec 31, 2008 73.06 Dec 31, 2009 73.32 Dec 31, 2010 73.57 Dec 31, 2011 73.81 Dec 31, 2012 74.05 Dec 31, 2013 74.28 Dec 31, 2014 74.5 Dec 31, 2015 74.7 Dec 31, 2016 74.9 Dec 31, 2017 75.09

Vega-Lite specification:
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Chart description: since 2020 the national debt in gambia is decreasing from 0.80 to 0.60 in 2025. year on year it is steadily decreasing.

Chart data: National debt in relation to GDP Year 0.57 2025* 0.6194 2024* 0.6779 2023* 0.7391 2022* 0.7701 2021* 0.831 2020* 0.8001 2019* 0.8461 2018 0.8701 2017 0.8095 2016 0.6937 2015

Vega-Lite specification:
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Chart description: From 2000 to 2010 number of CHP schemes stayed roughly the same, starting at around 1300 and ending at about 1400 in 2010. The number of schemes decreased slightly during the first half of the decade before recovering from 2005 to 2010. Since 2010 the number of CHP schemes has increased rapidly and continuously, to over 2500.

Chart data: Year Number of CHP schemes Dec 31, 1999 1339 Dec 31, 2000 1366 Dec 31, 2001 1328 Dec 31, 2002 1292 Dec 31, 2003 1263 Dec 31, 2004 1284 Dec 31, 2005 1271 Dec 31, 2006 1314 Dec 31, 2007 1327 Dec 31, 2008 1379 Dec 31, 2009 1455 Dec 31, 2010 1786 Dec 31, 2011 1942 Dec 31, 2012 2029 Dec 31, 2013 2076 Dec 31, 2014 2130 Dec 31, 2015 2224 Dec 31, 2016 2406 Dec 31, 2017 2497 Dec 31, 2018 2547

Vega-Lite specification:
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