delen/vistext huggingface dataset:
Chart description: In 2018/19 expenditure of the German bundesliga rose by 170 commercial / administrative staff than back in 2008/09 where figures are showing 80.

Chart data: Commercial/administrative staff Year 269.15 2018/19 260.28 2017/18 211.23 2016/17 206.04 2015/16 180.45 2014/15 163.28 2013/14 127.23 2012/13 109.83 2011/12 93.51 2010/11 94.96 2009/10 87.11 2008/09

Vega-Lite specification:
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Chart description: British Colombia got the highest number of royal Canadian mounted police officers in Canada at the year 2019 with 6000 officers and prince Edward Island got the lowest number with about 100.

Chart data: level of policing and province Contract policing * Newfoundland and Labrador 427 Prince Edward Island 96 Nova Scotia 846 New Brunswick 703 Manitoba 913 Saskatchewan 1171 Alberta 2877 British Columbia 5972 Yukon 120 Northwest Territories 175 Nunavut 121

Vega-Lite specification:
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Chart description: Cars and automobiles are the lowest whereas outerwear/jackets and coats are at the highest.

Chart data: consumer products Somewhat less Fresh and organic goods 0.06 Vitamins, minerals, herbs, or supplements 0.08 Home furniture and décor 0.13 Nonmobile consumer electronics and appliances 0.12 Cars/automobiles 0.05 Mobile electronics 0.12 Toys and games 0.12 Luxury/fashion 0.13 Tobacco and smoking products 0.17 Outerwear/jackets/coats 0.18

Vega-Lite specification:
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Chart description: Outerwear/Jackets/Coats are expected to less the most at around 0.17. Cars/automobiles are expected to less the least at 0.05.Most consumer products are expected to less between 0.10 and 0.15. Overall all consumer product are expected to be less.

Chart data: consumer products Somewhat less Fresh and organic goods 0.06 Vitamins, minerals, herbs, or supplements 0.08 Home furniture and décor 0.13 Nonmobile consumer electronics and appliances 0.12 Cars/automobiles 0.05 Mobile electronics 0.12 Toys and games 0.12 Luxury/fashion 0.13 Tobacco and smoking products 0.17 Outerwear/jackets/coats 0.18

Vega-Lite specification:
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Chart description: Very random opinions with Kennedy scoring low along with Eisenhower.

Chart data: U\.S\. Presidents in chronological order Below average / poor wight D. Eisenhower 0.03 ohn F. Kennedy 0.03 yndon B. Johnson 0.22 ichard Nixon 0.52 erald Ford 0.2 immy Carter 0.35 onald Reagan 0.1 eorge H.W. Bush 0.22 ill Clinton 0.15 eorge W. Bush 0.43 arack Obama 0.4

Vega-Lite specification:
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Chart description: Small dip between 2010/2011 and 2015/2016Consistent between 2015/2016 and 2017/2018Starts increasing between 2018/2019 and 2019/2020.

Chart data: Secondary Year 145085 2019/20 142239 2018/19 140545 2017/18 140413 2016/17 141112 2015/16 142553 2014/15 143973 2013/14 145658 2012/13 146747 2011/12 147902 2010/11

Vega-Lite specification:
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Chart description: Non biotech acreage fell rapidly from 2006 to 2008. In 2008 it was 0.4, though I’m unsure if this means 0.4% of the total acreage. It reached its lowest point in 2014 and soon after stabilised at about 0.8.

Chart data: Year Non-biotech Dec 31, 2005 0.39 Dec 31, 2006 0.27 Dec 31, 2007 0.2 Dec 31, 2008 0.15 Dec 31, 2009 0.14 Dec 31, 2010 0.12 Dec 31, 2011 0.12 Dec 31, 2012 0.1 Dec 31, 2013 0.07 Dec 31, 2014 0.08 Dec 31, 2015 0.08 Dec 31, 2016 0.08 Dec 31, 2017 0.08 Dec 31, 2018 0.08

Vega-Lite specification:
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Chart description: Immigration inflow was highest in 2018 with about 550,000. Immigration inflow was lowest in 2013 with about 250,000. Between 2013 and 2018 immigration inflow was consistently increasing. There was a large fall in immigration inflow between 2018 and 2019.

Chart data: Year Inflow 2019* 309874 2018 559309 2017 454424 2016 352174 2015 290005 2014 264485 2013 248350 2012 272489 2011 335893 2010 330286

Vega-Lite specification:
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Chart description: There is an exponential increase in migration flow up until the year 2019, from which there is a sharp dip.

Chart data: Year Inflow 2019* 309874 2018 559309 2017 454424 2016 352174 2015 290005 2014 264485 2013 248350 2012 272489 2011 335893 2010 330286

Vega-Lite specification:
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Chart description: There is between 7.5 and 10 million Canadian dollars spent on fruit and vegetables.

Chart data: 2015 Month 10.1 Dec 9.2 Nov 9.7 Oct 8.9 Sep 7.8 Aug 8.1 Jul 9.8 Jun 8.9 May 9.2 Apr 9.4 Mar 7.3 Feb 8.8 Jan

Vega-Lite specification:
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Chart description: Employment in the agriculture sector in South Africa has been rising and falling in turn over the years 2010 to 2020. After a steep rise between 2014 and 2015, it then declined slowly and is almost back to the same level it was at in 2010.

Chart data: Year Agriculture Dec 31, 2009 0.0486 Dec 31, 2010 0.046 Dec 31, 2011 0.0484 Dec 31, 2012 0.0498 Dec 31, 2013 0.0465 Dec 31, 2014 0.0561 Dec 31, 2015 0.0557 Dec 31, 2016 0.0529 Dec 31, 2017 0.0517 Dec 31, 2018 0.0509 Dec 31, 2019 0.0499

Vega-Lite specification:
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Chart description: The employment in the industry sector in South Africa has been decreasing since 2010 until 2020, going from 0.25 to almost 0.21.

Chart data: Year Industry Dec 31, 2009 0.244 Dec 31, 2010 0.2418 Dec 31, 2011 0.2345 Dec 31, 2012 0.2352 Dec 31, 2013 0.2342 Dec 31, 2014 0.2383 Dec 31, 2015 0.2333 Dec 31, 2016 0.2335 Dec 31, 2017 0.2315 Dec 31, 2018 0.2291 Dec 31, 2019 0.2272

Vega-Lite specification:
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Chart description: The UK has the highest percentage of dedicated biotech companies compared to the other countries on the graph.

Chart data: Country Health New Zealand 0.299 Mexico 0.326 Korea 0.33 Portugal 0.331 Poland 0.348 Slovenia 0.422 Belgium 0.497 Germany 0.497 Estonia 0.52 Italy 0.556 Israel 0.602 Austria 0.664 Spain 0.703 United Kingdom 0.839

Vega-Lite specification:
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Chart description: There is a sharp decline in 15-64 years in 2017. There is then a sharp spike in 2018. There is an overall downward trend in 15-64 years as a proportion of the population which continues unabated after the downward spike.

Chart data: Year 15-64 years Dec 31, 2008 0.6798 Dec 31, 2009 0.6773 Dec 31, 2010 0.6732 Dec 31, 2011 0.6689 Dec 31, 2012 0.6642 Dec 31, 2013 0.6592 Dec 31, 2014 0.6539 Dec 31, 2015 0.6509 Dec 31, 2016 0.3459 Dec 31, 2017 0.6396 Dec 31, 2018 0.6336

Vega-Lite specification:
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Chart description: From 2010 - 2018 the 15-64 year old population of Bhutan has risen from roughly 0.6 to 0.7.

Chart data: Year 15-64 years Dec 31, 2008 0.6305 Dec 31, 2009 0.6369 Dec 31, 2010 0.6437 Dec 31, 2011 0.6506 Dec 31, 2012 0.6572 Dec 31, 2013 0.6633 Dec 31, 2014 0.6688 Dec 31, 2015 0.6741 Dec 31, 2016 0.6786 Dec 31, 2017 0.6823 Dec 31, 2018 0.6857

Vega-Lite specification:
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Chart description: Internet users have gradually increased since 2010.

Chart data: Year Africa Dec 31, 2008 86.2 Dec 31, 2009 110.9 Dec 31, 2010 139.88 Dec 31, 2011 167.34 Dec 31, 2012 240.15 Dec 31, 2014 313.26 Dec 31, 2015 339.28 Dec 31, 2016 388.38 Dec 31, 2017 455.84 Dec 31, 2018 522.81 Dec 31, 2019 566.14

Vega-Lite specification:
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Chart description: The word "jihadist" isn't the same as saying "terrorism suspects". The largest increase is from 2013 to 2015, where a high positive linear trend is shown, over tripling the number of suspects arrested each year. From 2015 to 2017 the rate stays pretty stable, and then 2017 to 2019 it drops quite quickly, by approximately a third.

Chart data: Year Jihadist Dec 31, 2009 179 Dec 31, 2010 122 Dec 31, 2011 159 Dec 31, 2012 216 Dec 31, 2013 395 Dec 31, 2014 687 Dec 31, 2015 718 Dec 31, 2016 705 Dec 31, 2017 511 Dec 31, 2018 436

Vega-Lite specification:
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Chart description: Intelligence gathering around the monitoring of terrorist subjects has rapidly increased since 2010. There has been an increase in terrorist activity since 2010.

Chart data: Year Single Issue/ Not specified Dec 31, 2009 48 Dec 31, 2010 68 Dec 31, 2011 87 Dec 31, 2012 183 Dec 31, 2013 137 Dec 31, 2014 144 Dec 31, 2015 157 Dec 31, 2016 428 Dec 31, 2017 437 Dec 31, 2018 388

Vega-Lite specification:
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Chart description: The graph shows some sharp increases and declines over the years.  There was a sharp increase in the number of arrests which began in 2012 reaching a peak in 2013, then decreasing in 2014.  There was a very sharp increase in the number of arrests around 2016, peaking in 2017/2018.  There was a downwards trend in 2018.

Chart data: Year Single Issue/ Not specified Dec 31, 2009 48 Dec 31, 2010 68 Dec 31, 2011 87 Dec 31, 2012 183 Dec 31, 2013 137 Dec 31, 2014 144 Dec 31, 2015 157 Dec 31, 2016 428 Dec 31, 2017 437 Dec 31, 2018 388

Vega-Lite specification:
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Chart description: Annual revenue was at its highest in 2018 but since then is showing a downward trend The revenue has gone up on the whole by 800 million dollar.

Chart data: Year Asia Pacific Dec 31, 2006 164 Dec 31, 2007 227 Dec 31, 2008 263 Dec 31, 2009 295 Dec 31, 2010 360 Dec 31, 2011 452 Dec 31, 2012 343 Dec 31, 2013 394 Dec 31, 2014 514 Dec 31, 2015 964 Dec 31, 2016 946 Dec 31, 2017 1002 Dec 31, 2018 909

Vega-Lite specification:
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Chart description: The revenue doubled between 2008 and 2012, dipped and then increased dramatically between 2013 and 2016 by nearly 600 then evened out in 2018.

Chart data: Year Asia Pacific Dec 31, 2006 164 Dec 31, 2007 227 Dec 31, 2008 263 Dec 31, 2009 295 Dec 31, 2010 360 Dec 31, 2011 452 Dec 31, 2012 343 Dec 31, 2013 394 Dec 31, 2014 514 Dec 31, 2015 964 Dec 31, 2016 946 Dec 31, 2017 1002 Dec 31, 2018 909

Vega-Lite specification:
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Chart description: Unemployment peaked in 2015.  Unemployment is in decline in 2019.

Chart data: Year 25-34 years Dec 31, 2008 0.082 Dec 31, 2009 0.077 Dec 31, 2010 0.075 Dec 31, 2011 0.076 Dec 31, 2012 0.079 Dec 31, 2013 0.086 Dec 31, 2014 0.094 Dec 31, 2015 0.086 Dec 31, 2016 0.087 Dec 31, 2017 0.078 Dec 31, 2018 0.066

Vega-Lite specification:
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Chart description: Unemployment in Finnish 55-64 year olds was at its worst in 2015. Unemployment in Finnish 55-64 year olds has remained relatively stable between 2009 & 2019.

Chart data: Year 55-64 years Dec 31, 2008 0.062 Dec 31, 2009 0.065 Dec 31, 2010 0.064 Dec 31, 2011 0.066 Dec 31, 2012 0.07 Dec 31, 2013 0.073 Dec 31, 2014 0.08 Dec 31, 2015 0.075 Dec 31, 2016 0.078 Dec 31, 2017 0.069 Dec 31, 2018 0.066

Vega-Lite specification:
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Chart description: Between 2004 and 2014 the pro-choice value didn’t change. It only fluctuated between this.

Chart data: Response Pro-choice May 02, 2004 0.49 May 02, 2005 0.48 May 03, 2006 0.45 May 03, 2006 0.41 May 02, 2007 0.45 May 03, 2007 0.49 May 05, 2007 0.48 May 04, 2008 0.47 May 05, 2008 0.49 May 01, 2010 0.48 May 06, 2010 0.5 May 07, 2010 0.42 May 08, 2011 0.51 May 08, 2011 0.5 May 08, 2011 0.47 May 01, 2012 0.46 May 10, 2013 0.49

Vega-Lite specification:
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Chart description: It isn’t evident what the y-axis is relating to and what unit of measurement this is representing. The x-axis appears to be years but nothing in the title depicts this. There is also no reference to pro-life on either of the axis so this isn’t necessarily represented in the data.

Chart data: Response Pro-choice May 02, 2004 0.49 May 02, 2005 0.48 May 03, 2006 0.45 May 03, 2006 0.41 May 02, 2007 0.45 May 03, 2007 0.49 May 05, 2007 0.48 May 04, 2008 0.47 May 05, 2008 0.49 May 01, 2010 0.48 May 06, 2010 0.5 May 07, 2010 0.42 May 08, 2011 0.51 May 08, 2011 0.5 May 08, 2011 0.47 May 01, 2012 0.46 May 10, 2013 0.49

Vega-Lite specification:
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Chart description: there seems to be no obvious pattern on the chart as the response seems to spike and then plummet at very short intervals.

Chart data: Response Pro-choice May 02, 2004 0.49 May 02, 2005 0.48 May 03, 2006 0.45 May 03, 2006 0.41 May 02, 2007 0.45 May 03, 2007 0.49 May 05, 2007 0.48 May 04, 2008 0.47 May 05, 2008 0.49 May 01, 2010 0.48 May 06, 2010 0.5 May 07, 2010 0.42 May 08, 2011 0.51 May 08, 2011 0.5 May 08, 2011 0.47 May 01, 2012 0.46 May 10, 2013 0.49

Vega-Lite specification:
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Chart description: There is a lot of variance in the plantings but overall there has been a slight decrease from 2000 in 2019. There is no data shown in the graph regarding harvests contrary to the title of the graph. There are 3 times where the plantings have decreased, in 2003, there was a small decease of about 2000 planted, in 2009 a decrease of about 6000 planted and in 2015 where there was once again a decrease of about 6000 planted.

Chart data: Year Planted Dec 31, 1999 15517.2 Dec 31, 2000 15768.5 Dec 31, 2001 13957.9 Dec 31, 2002 13479.6 Dec 31, 2003 13658.6 Dec 31, 2004 14245.4 Dec 31, 2005 15274 Dec 31, 2006 10827.2 Dec 31, 2007 9471 Dec 31, 2008 9149.5 Dec 31, 2009 10947.2 Dec 31, 2010 14735.4 Dec 31, 2011 12264.4 Dec 31, 2012 10407 Dec 31, 2013 11037.4 Dec 31, 2014 8580.5 Dec 31, 2015 9879 Dec 31, 2016 12717.5 Dec 31, 2017 14100.3 Dec 31, 2018 13737.8

Vega-Lite specification:
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Chart description: This graph has spikes across it and years where a larger number of cotton in planted such as 2011 and then periods where the numbers are much lower for example in 2008. It seems once a large number of plants have been planted, the next few years need less and then suddenly there is a sharp incline again.

Chart data: Year Planted Dec 31, 1999 15517.2 Dec 31, 2000 15768.5 Dec 31, 2001 13957.9 Dec 31, 2002 13479.6 Dec 31, 2003 13658.6 Dec 31, 2004 14245.4 Dec 31, 2005 15274 Dec 31, 2006 10827.2 Dec 31, 2007 9471 Dec 31, 2008 9149.5 Dec 31, 2009 10947.2 Dec 31, 2010 14735.4 Dec 31, 2011 12264.4 Dec 31, 2012 10407 Dec 31, 2013 11037.4 Dec 31, 2014 8580.5 Dec 31, 2015 9879 Dec 31, 2016 12717.5 Dec 31, 2017 14100.3 Dec 31, 2018 13737.8

Vega-Lite specification:
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Chart description: The graph shows the growth of Openreach from around 4200 in 2008 to around 10000 in 2017. It shows a trend of growth with a decrease in growth rate over time.

Chart data: Year Openreach Dec 31, 2007 4300 Dec 31, 2008 5750 Dec 31, 2009 6620 Dec 31, 2010 7608 Dec 31, 2011 8253 Dec 31, 2012 8859 Dec 31, 2013 9302 Dec 31, 2014 9544 Dec 31, 2015 9947 Dec 31, 2016 10162

Vega-Lite specification:
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Chart description: Slight decrease in age structure since 8 years ago.

Chart data: Year 0-14 years Dec 31, 2008 0.44 Dec 31, 2009 0.4404 Dec 31, 2010 0.4412 Dec 31, 2011 0.4419 Dec 31, 2012 0.4422 Dec 31, 2013 0.442 Dec 31, 2014 0.4413 Dec 31, 2015 0.4411 Dec 31, 2016 0.4401 Dec 31, 2017 0.4387 Dec 31, 2018 0.4369

Vega-Lite specification:
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