delen/vistext huggingface dataset:
Chart description: It looks to me that the age structure has not changed at all in a decade. However the age band is very wide (15-64 years) so one can infer that this refers to people of working age. If so, the working population remains consistent.

Chart data: Year 15-64 years Dec 31, 2008 0.6543 Dec 31, 2009 0.6558 Dec 31, 2010 0.6558 Dec 31, 2011 0.6563 Dec 31, 2012 0.6568 Dec 31, 2013 0.657 Dec 31, 2014 0.6568 Dec 31, 2015 0.6566 Dec 31, 2016 0.6563 Dec 31, 2017 0.656 Dec 31, 2018 0.6562

Vega-Lite specification:
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Chart description: Most states had low numbers and some even had zero or close to zero. Two states had by far the highest number of cases - Maharashtra and Kerala. Most states had below 20,000 cases.

Chart data: Active state of India 60905 Maharashtra 58163 Kerala 19597 West Bengal 18150 Uttar Pradesh 17407 Chhattisgarh 15205 Karnataka 13647 Rajasthan 12349 Gujarat 12198 Delhi 12156 Madhya Pradesh 9829 Tamil Nadu 7172 Telangana 7013 Haryana 6139 Himachal Pradesh 6062 Uttarakhand 6045 Punjab 5103 Bihar 4454 Andhra Pradesh 4327 Jammu and Kashmir 3523 Assam 2685 Odisha 1872 Manipur 1629 Jharkhand 975 Goa 686 Meghalaya 584 Chandigarh 547 Nagaland 498 Ladakh 307 Puducherry 294 Sikkim 291 Tripura 258 Arunachal Pradesh 156 Mizoram 92 Andaman and Nicobar Islands 14 Dadra and Nagar Haveli and Daman and Diu

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Chart description: The value increased from 2002 and stopped increasing in 2007/2008. This then increased again all the way up until 2014. This then peaked in 2018.

Chart data: Year Exports Dec 31, 1999 1075.32 Dec 31, 2000 1005.64 Dec 31, 2001 978.71 Dec 31, 2002 1020.42 Dec 31, 2003 1161.55 Dec 31, 2004 1286.02 Dec 31, 2005 1457.64 Dec 31, 2006 1653.55 Dec 31, 2007 1841.61 Dec 31, 2008 1583.05 Dec 31, 2009 1872.32 Dec 31, 2010 2143.55 Dec 31, 2011 2247.45 Dec 31, 2012 2313.24 Dec 31, 2013 2392.27 Dec 31, 2014 2279.74 Dec 31, 2015 2237.92 Dec 31, 2016 2387.39 Dec 31, 2017 2539.38 Dec 31, 2018 2528.26

Vega-Lite specification:
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Chart description: The number of imports ( in billion U.S dollars) has steady risen from 2000 to 2019 with the exception of around 2009 in which there was a considerable drop. In total rising from jist below 1500 in 2000 to over 3000 imports (in billion U.S dollars) in 2019.

Chart data: Year Imports Dec 31, 1999 1447.84 Dec 31, 2000 1367.17 Dec 31, 2001 1397.66 Dec 31, 2002 1514.31 Dec 31, 2003 1771.43 Dec 31, 2004 2000.27 Dec 31, 2005 2219.36 Dec 31, 2006 2358.92 Dec 31, 2007 2550.34 Dec 31, 2008 1966.83 Dec 31, 2009 2375.41 Dec 31, 2010 2698.07 Dec 31, 2011 2773.36 Dec 31, 2012 2760.07 Dec 31, 2013 2876.41 Dec 31, 2014 2771 Dec 31, 2015 2719.09 Dec 31, 2016 2901.18 Dec 31, 2017 3119.32 Dec 31, 2018 3105.13

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Chart description: There is an overall upward trend in imports overt the chart timescale, with a clear dip in imports in 2008-09.

Chart data: Year Imports Dec 31, 1999 1447.84 Dec 31, 2000 1367.17 Dec 31, 2001 1397.66 Dec 31, 2002 1514.31 Dec 31, 2003 1771.43 Dec 31, 2004 2000.27 Dec 31, 2005 2219.36 Dec 31, 2006 2358.92 Dec 31, 2007 2550.34 Dec 31, 2008 1966.83 Dec 31, 2009 2375.41 Dec 31, 2010 2698.07 Dec 31, 2011 2773.36 Dec 31, 2012 2760.07 Dec 31, 2013 2876.41 Dec 31, 2014 2771 Dec 31, 2015 2719.09 Dec 31, 2016 2901.18 Dec 31, 2017 3119.32 Dec 31, 2018 3105.13

Vega-Lite specification:
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Chart description: The graphic shows the destribuition of Italian population per region whitin t.he ages 0-14 that iis basically an equal destribuition all over the Italian territory..the region of trentino reflects the the highest number of population with to he ages 0-14 years, followed by Campania and Lombardy. Several are the areas with lower 0-14 years old population but the discrepancy is not too high.

Chart data: 0-14 years region of Italy 0.111 Liguria 0.112 Sardinia 0.113 Molise 0.119 Basilicata 0.12 Friuli-Venezia Giulia 0.124 Tuscany 0.124 Piedmont 0.124 Abruzzo 0.125 Umbria 0.126 Marche 0.131 Emilia-Romagna 0.131 Apulia 0.132 Calabria 0.131 Aosta Valley 0.133 Veneto 0.133 Lazio 0.137 Lombardy 0.138 Sicily 0.145 Campania 0.15 Trentino-South Tyrol

Vega-Lite specification:
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Chart description: Wearing a face mask in public had the lowest response, No measure taken had the highest response.

Chart data: Feb 29 to Mar 1 Response 0.14 Avoid crowded public places 0.35 Improve personal hygiene (e.g. washing hands more frequently, using hand sanitizer) 0.14 Refrain from touching objects in public 0.02 Avoid going to work 0.09 Avoid physical contact with tourists 0.06 Avoid consumption of raw or uncooked meat 0.01 Wear a face mask in public places 0.54 No measures taken

Vega-Lite specification:
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Chart description: Most haven't done anything extra to protect themselves from covid. Many have upped their hygiene and very few have avoided work.

Chart data: Feb 29 to Mar 1 Response 0.14 Avoid crowded public places 0.35 Improve personal hygiene (e.g. washing hands more frequently, using hand sanitizer) 0.14 Refrain from touching objects in public 0.02 Avoid going to work 0.09 Avoid physical contact with tourists 0.06 Avoid consumption of raw or uncooked meat 0.01 Wear a face mask in public places 0.54 No measures taken

Vega-Lite specification:
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Chart description: In 2014 the highest cost component/clinical phase for the clinical trial was clinical procedure total with approximately 480,000 US dollars spent. Cost per IRB approvals, cost of IRB amendments & patient retention costs are the lowest category’s. All below 10,000 US dollars. Cost of IRB amendments was the lowest overall with approximately 1,000. The largest group of categories are between the range of 100,000-220,000 US dollars.

Chart data: Phase 1 Cost component 50331 Data Management Costs 11962 Cost Per IRB Approvals 1094 Cost of IRB Amendments 326437 SDV Costs 37050 Patient Recruitment Costs 6145 Patient Retention Costs 178237 RN/CRA Costs 109681 Physician Costs 475667 Clinical Procedure Total 252163 Central Lab Costs 51904 Site Recruitment Costs 193615 Site Retention Costs 237869 Administrative Staff Costs 198896 Site Monitoring Costs

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Chart description: The weekly rent slowly increased gradually over the years.

Chart data: Excluding London Year 162 2018/19 158 2017/18 158 2016/17 153 2015/16 147 2014/15 145 2013/14 140 2012/13 139 2011/12 137 2010/11 130 2009/10 130 2008/09

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Chart description: The amount of Petroleum was at its highest between 2008 and 2009. There has been an overall increase in petroleum between 2000 and 2014.

Chart data: Year Petroleum Dec 31, 1999 7.16 Dec 31, 2000 6.59 Dec 31, 2001 6.35 Dec 31, 2002 7.53 Dec 31, 2003 7.15 Dec 31, 2004 9.81 Dec 31, 2005 11.22 Dec 31, 2006 11.83 Dec 31, 2007 19.2 Dec 31, 2008 14.16 Dec 31, 2009 18.06 Dec 31, 2010 24.08 Dec 31, 2011 23.78 Dec 31, 2012 21.56 Dec 31, 2013 22.49

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Chart description: the trend has be stable and remain at a similar level between 0.5 to 0.6.

Chart data: Year Services Dec 31, 2009 0.5542 Dec 31, 2010 0.5524 Dec 31, 2011 0.5553 Dec 31, 2012 0.5556 Dec 31, 2013 0.556 Dec 31, 2014 0.5517 Dec 31, 2015 0.5541 Dec 31, 2016 0.5665 Dec 31, 2017 0.571 Dec 31, 2018 0.5727 Dec 31, 2019 0.5753

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Chart description: The more endorsements a player has the greater the sallery,.

Chart data: Endorsements highest-paid NFL players 0.75 Joey Bosa 4 Carson Wentz 2.5 Kirk Cousins 8 Dak Prescott 14 Drew Brees 0.3 Ryan Tannehill 8 Deshaun Watson 12 Tom Brady 2 Jared Goff 9 Aaron Rodgers

Vega-Lite specification:
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Chart description: The biggest leave areas were in the midlands and north whilst Scotland had the lowest leave percentage.

Chart data: Leave city 0.256 Edinburgh 0.334 Glasgow 0.396 Manchester 0.4 Cardiff 0.401 London 0.418 Liverpool 0.493 Newcastle 0.497 Leeds 0.504 Birmingham 0.5099 Sheffield

Vega-Lite specification:
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Chart description: Volvo produce the most. Toyota produce the least. Mercedes are closely following Volvo.

Chart data: 2018 brand of passenger cars with diesel engines 0.64 Volvo 0.61 Mercedes 0.57 BMW 0.48 Audi 0.44 Peugeot 0.41 Renault 0.4 Nissan 0.39 Volkswagen 0.36 Skoda 0.35 Ford 0.34 Dacia 0.34 Citroen 0.3 Fiat 0.28 Kia 0.25 Opel 0.22 Seat 0.19 Hyundai 0.05 Toyota

Vega-Lite specification:
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Chart description: Volvo has the largest amount of passenger cars with diesel engines. Toyota is the brand with the lowest amount. Most brands are under 0.4 percentage share.

Chart data: 2018 brand of passenger cars with diesel engines 0.64 Volvo 0.61 Mercedes 0.57 BMW 0.48 Audi 0.44 Peugeot 0.41 Renault 0.4 Nissan 0.39 Volkswagen 0.36 Skoda 0.35 Ford 0.34 Dacia 0.34 Citroen 0.3 Fiat 0.28 Kia 0.25 Opel 0.22 Seat 0.19 Hyundai 0.05 Toyota

Vega-Lite specification:
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Chart description: I can barely see and interpret this chart, sorry. All I see is yellow, this color is not ideal and the dots should be more visible.

Chart data: Year 15-64 years Dec 31, 2008 0.6515 Dec 31, 2009 0.655 Dec 31, 2010 0.6575 Dec 31, 2011 0.66 Dec 31, 2012 0.6624 Dec 31, 2013 0.6644 Dec 31, 2014 0.6662 Dec 31, 2015 0.6677 Dec 31, 2016 0.669 Dec 31, 2017 0.6702 Dec 31, 2018 0.671

Vega-Lite specification:
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Chart description: The lowest employment rate in 55 and over was in '00. The highest employment rate was in '19. Employment rate in the past 20 years varied between 0.3 and 0.4.

Chart data: 55 and over year 0.391 '19 0.388 '18 0.387 '17 0.385 '16 0.384 '15 0.382 '14 0.382 '13 0.38 '12 0.376 '11 0.374 '10 0.373 '09 0.379 '08 0.374 '07 0.369 '06 0.359 '05 0.349 '04 0.342 '03 0.332 '02 0.322 '01 0.315 '00

Vega-Lite specification:
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Chart description: Gradually the export of meat has increased over the years until 2015, The chart does not plot the import of meat.

Chart data: Year Exports Dec 31, 2000 3815 Dec 31, 2001 4067 Dec 31, 2002 4242 Dec 31, 2003 2649 Dec 31, 2004 3373 Dec 31, 2005 4158 Dec 31, 2006 4585 Dec 31, 2007 6566 Dec 31, 2008 6046 Dec 31, 2009 6539 Dec 31, 2010 7994 Dec 31, 2011 7843 Dec 31, 2012 7582 Dec 31, 2013 7670 Dec 31, 2014 7279 Dec 31, 2015 7801 Dec 31, 2016 8500 Dec 31, 2017 9032

Vega-Lite specification:
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Chart description: The chart shows variable use of corn over the timescale, from around 4,000m to around 6,200m. ther was noticeable drop in use around 2012-13.

Chart data: Year Feed and residual Dec 31, 2000 5864 Dec 31, 2001 5563 Dec 31, 2002 5795 Dec 31, 2003 6155 Dec 31, 2004 6115 Dec 31, 2005 5540 Dec 31, 2006 5858 Dec 31, 2007 5133 Dec 31, 2008 5101 Dec 31, 2009 4777 Dec 31, 2010 4519 Dec 31, 2011 4315 Dec 31, 2012 5040 Dec 31, 2013 5280 Dec 31, 2014 5114 Dec 31, 2015 5470 Dec 31, 2016 5304 Dec 31, 2017 5432 Dec 31, 2018 5275

Vega-Lite specification:
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Chart description: The greatest use of corn occurs in 2005. The least use of corn occurs in around 2012. All other years between 2001 and 2019 fall between 5000 and 6000.

Chart data: Year Feed and residual Dec 31, 2000 5864 Dec 31, 2001 5563 Dec 31, 2002 5795 Dec 31, 2003 6155 Dec 31, 2004 6115 Dec 31, 2005 5540 Dec 31, 2006 5858 Dec 31, 2007 5133 Dec 31, 2008 5101 Dec 31, 2009 4777 Dec 31, 2010 4519 Dec 31, 2011 4315 Dec 31, 2012 5040 Dec 31, 2013 5280 Dec 31, 2014 5114 Dec 31, 2015 5470 Dec 31, 2016 5304 Dec 31, 2017 5432 Dec 31, 2018 5275

Vega-Lite specification:
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Chart description: The total domestic use of corn from 2001 to 2019 ultimately has declined from just under 6000 feed and residual to just over 5000. The lowest total domestic use was in 2013 with just under 4500 feed and residual.

Chart data: Year Feed and residual Dec 31, 2000 5864 Dec 31, 2001 5563 Dec 31, 2002 5795 Dec 31, 2003 6155 Dec 31, 2004 6115 Dec 31, 2005 5540 Dec 31, 2006 5858 Dec 31, 2007 5133 Dec 31, 2008 5101 Dec 31, 2009 4777 Dec 31, 2010 4519 Dec 31, 2011 4315 Dec 31, 2012 5040 Dec 31, 2013 5280 Dec 31, 2014 5114 Dec 31, 2015 5470 Dec 31, 2016 5304 Dec 31, 2017 5432 Dec 31, 2018 5275

Vega-Lite specification:
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Chart description: Mobility fell sharply from March and stayed low through to beyond the end of April. Mobility peaked in October and dropped again in winter.

Chart data: Response Milan Mar 02, 2020 0.44 Mar 09, 2020 0.13 Mar 16, 2020 0.06 Mar 23, 2020 0.04 Mar 30, 2020 0.03 Apr 06, 2020 0.03 Apr 13, 2020 0.04 Apr 20, 2020 0.04 Apr 27, 2020 0.04 May 04, 2020 0.09 May 11, 2020 0.08 May 18, 2020 0.13 May 25, 2020 0.17 Jun 01, 2020 0.2 Jun 08, 2020 0.23 Jun 15, 2020 0.27 Jun 22, 2020 0.31 Jun 29, 2020 0.31 Jul 06, 2020 0.35 Jul 13, 2020 0.38 Jul 20, 2020 0.35 Jul 27, 2020 0.33 Aug 03, 2020 0.27 Aug 10, 2020 0.19 Aug 17, 2020 0.18 Aug 24, 2020 0.26 Aug 31, 2020 0.44 Sep 07, 2020 0.57 Sep 14, 2020 0.66 Sep 21, 2020 0.69 Sep 28, 2020 0.68 Oct 05, 2020 0.68 Oct 12, 2020 0.61 Oct 19, 2020 0.51 Oct 26, 2020 0.38 Nov 02, 2020 0.31 Nov 09, 2020 0.15 Nov 16, 2020 0.17 Nov 23, 2020 0.17 Nov 30, 2020 0.21 Dec 07, 2020 0.18

Vega-Lite specification:
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Chart description: Between March and about mid-May/early June movement reduced to around 40% of pre-pandemic levels, throughout the summer seasons movement began to grow but remained at around 75% pre-pandemic levels, during the winter months movement began to fall again but not as low as the intial fall at the beginning of the pandemic.

Chart data: Response Stockholm Mar 02, 2020 0.93 Mar 09, 2020 0.87 Mar 16, 2020 0.39 Mar 23, 2020 0.32 Mar 30, 2020 0.29 Apr 06, 2020 0.3 Apr 13, 2020 0.29 Apr 20, 2020 0.35 Apr 27, 2020 0.29 May 04, 2020 0.33 May 11, 2020 0.31 May 18, 2020 0.35 May 25, 2020 0.45 Jun 01, 2020 0.44 Jun 08, 2020 0.47 Jun 15, 2020 0.49 Jun 22, 2020 0.55 Jun 29, 2020 0.54 Jul 06, 2020 0.52 Jul 13, 2020 0.48 Jul 20, 2020 0.45 Jul 27, 2020 0.47 Aug 03, 2020 0.54 Aug 10, 2020 0.64 Aug 17, 2020 0.67 Aug 24, 2020 0.67 Aug 31, 2020 0.68 Sep 07, 2020 0.67 Sep 14, 2020 0.66 Sep 21, 2020 0.7 Sep 28, 2020 0.63 Oct 05, 2020 0.76 Oct 12, 2020 0.64 Oct 19, 2020 0.71 Oct 26, 2020 0.74 Nov 02, 2020 0.57 Nov 09, 2020 0.53 Nov 16, 2020 0.49 Nov 23, 2020 0.45 Nov 30, 2020 0.5 Dec 07, 2020 0.49

Vega-Lite specification:
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Chart description: The above chart shows that the months of March and June 2020, there was limited mobility in the city of Stockholm, Sweden. The chart also shows that between the months of August to November mobility drastically increased.

Chart data: Response Stockholm Mar 02, 2020 0.93 Mar 09, 2020 0.87 Mar 16, 2020 0.39 Mar 23, 2020 0.32 Mar 30, 2020 0.29 Apr 06, 2020 0.3 Apr 13, 2020 0.29 Apr 20, 2020 0.35 Apr 27, 2020 0.29 May 04, 2020 0.33 May 11, 2020 0.31 May 18, 2020 0.35 May 25, 2020 0.45 Jun 01, 2020 0.44 Jun 08, 2020 0.47 Jun 15, 2020 0.49 Jun 22, 2020 0.55 Jun 29, 2020 0.54 Jul 06, 2020 0.52 Jul 13, 2020 0.48 Jul 20, 2020 0.45 Jul 27, 2020 0.47 Aug 03, 2020 0.54 Aug 10, 2020 0.64 Aug 17, 2020 0.67 Aug 24, 2020 0.67 Aug 31, 2020 0.68 Sep 07, 2020 0.67 Sep 14, 2020 0.66 Sep 21, 2020 0.7 Sep 28, 2020 0.63 Oct 05, 2020 0.76 Oct 12, 2020 0.64 Oct 19, 2020 0.71 Oct 26, 2020 0.74 Nov 02, 2020 0.57 Nov 09, 2020 0.53 Nov 16, 2020 0.49 Nov 23, 2020 0.45 Nov 30, 2020 0.5 Dec 07, 2020 0.49

Vega-Lite specification:
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Chart description: A steady incline in gambling through the years but a vast difference from 2010 to 2019.

Chart data: Lotteries (remote and non-remote) Month 572.51 Oct 18 - Sep 19 541.81 Apr 18 - Mar 19 507.93 Apr 17 - Mar 18 442.43 Apr 16 - Mar 17 379.77 Apr 15 - Mar 16 349.74 Apr 14 - Mar 15 293.79 Apr 13 - Mar 14 273 Apr 12 - Mar 13 228.61 Apr 11 - Mar 12 170.12 Apr 10 - Mar 11 158.55 Apr 09 - Mar 10

Vega-Lite specification:
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