delen/vistext huggingface dataset:
Chart description: Children usually use tablets for playing games, to learn things, watching videos, downloading apps and browsing online. Children rarely use tablets for taking pictures or films, video chat, watching TV, chatting with friends, and social networking.

Chart data: activities children carried out on tablets 8-12 Playing games 0.9 To learn things 0.78 Watching videos 0.77 Downloading apps 0.72 Browsing online 0.7 Taking pictures or films 0.55 Chating with friends 0.42 Video chat (e.g. Skype or FaceTime) 0.42 Watching TV 0.41 Social networking (e.g. Facebook or Twitter) 0.38 None of the above 0

Vega-Lite specification:
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Chart description: It is more likely that people use a tablet for any activity rather than for nothing at all.

Chart data: activities children carried out on tablets 13-16 Playing games 0.82 To learn things 0.72 Watching videos 0.8 Downloading apps 0.76 Browsing online 0.85 Taking pictures or films 0.49 Chating with friends 0.55 Video chat (e.g. Skype or FaceTime) 0.55 Watching TV 0.55 Social networking (e.g. Facebook or Twitter) 0.71 None of the above 0.02

Vega-Lite specification:
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Chart description: Respondents are least likely to use public transport. And most likely to go to the grocery store.

Chart data: Less likely Response 0.38 Use public transport 0.35 Go to an amusement park 0.34 Go to a concert 0.34 Go to a political rally 0.33 Go to sporting events 0.31 Go to a theater performance 0.31 Take a vacation 0.3 Go to the gym 0.3 Use a ride-hailing service 0.29 Go to a museum 0.29 Go to a movie theater 0.27 Go to a shopping mall 0.26 Go to a party or social event 0.25 Go to a work conference 0.24 Go to a religious gathering or meeting 0.24 Invest in the stock market 0.19 Go out to eat in a restaurant or cafe 0.13 Vote in a political election 0.11 Go to the grocery store

Vega-Lite specification:
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Chart description: Pattern I can see that during Covid19 people who used public transport changed their behaviour more then people who would go to the grocery store.

Chart data: Response Neither more nor less likely Use public transport 0.42 Go to an amusement park 0.45 Go to a concert 0.47 Go to a political rally 0.45 Go to sporting events 0.46 Go to a theater performance 0.5 Take a vacation 0.47 Go to the gym 0.47 Use a ride-hailing service 0.47 Go to a museum 0.52 Go to a movie theater 0.5 Go to a shopping mall 0.52 Go to a party or social event 0.53 Go to a work conference 0.48 Go to a religious gathering or meeting 0.51 Invest in the stock market 0.46 Go out to eat in a restaurant or cafe 0.57 Vote in a political election 0.51 Go to the grocery store 0.63

Vega-Lite specification:
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Chart description: It is evident that Italy agree the most with the idea of self quarantine to isolate from Covid, with their percentage being over 80%. Japan falls the lowest with just over 40% of people agreeing with the quarantine. It appears that all European counties reach over 50% or higher agreement that people should self isolate when contracting covid-19.

Chart data: Response Strongly agree Australia 0.66 Canada 0.78 France 0.61 Germany 0.53 Italy 0.81 Japan 0.42 Russia 0.67 United Kingdom 0.65 United States 0.6 Vietnam 0.73 China 0.72 India 0.59

Vega-Lite specification:
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Chart description: The graph starts with 0 cases just before the year 2000. There is a small peak in cases in 2004 with about 5,000 cases. This is followed by a decrease in cases. There is a large sudden peak in cases inbetween 2006-2009, with the number of cases increasing to around 18,000. There is a sharp decrease in cases from 2009-2010, returning the number of cases from around 18,000 to around 2,500. There is a sharp increase of cases from 2010-2011, from 2,500 to just above 15,000. there is a steady decrease in cases from 2013-2016, followed by another increase.

Chart data: Year Africa Dec 31, 1998 51 Dec 31, 1999 865 Dec 31, 2000 1572 Dec 31, 2001 2265 Dec 31, 2002 4835 Dec 31, 2003 4452 Dec 31, 2004 2868 Dec 31, 2005 2457 Dec 31, 2006 3993 Dec 31, 2007 16297 Dec 31, 2008 17422 Dec 31, 2009 2754 Dec 31, 2010 16190 Dec 31, 2011 10850 Dec 31, 2012 13739 Dec 31, 2013 7402 Dec 31, 2014 5302 Dec 31, 2015 4157 Dec 31, 2016 6166 Dec 31, 2017 11787

Vega-Lite specification:
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Chart description: The most cases of Rubella reported in Africa peaked in 2009 with cases over 15,000. This dropped in 2010 briefly before hiking up again to over 15,000. Cases dropped after 2015 to under 5,000 but have been slowly rising and are sitting at over 10,000 in 2018.

Chart data: Year Africa Dec 31, 1998 51 Dec 31, 1999 865 Dec 31, 2000 1572 Dec 31, 2001 2265 Dec 31, 2002 4835 Dec 31, 2003 4452 Dec 31, 2004 2868 Dec 31, 2005 2457 Dec 31, 2006 3993 Dec 31, 2007 16297 Dec 31, 2008 17422 Dec 31, 2009 2754 Dec 31, 2010 16190 Dec 31, 2011 10850 Dec 31, 2012 13739 Dec 31, 2013 7402 Dec 31, 2014 5302 Dec 31, 2015 4157 Dec 31, 2016 6166 Dec 31, 2017 11787

Vega-Lite specification:
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Chart description: Rubella cases worldwide decreased from 800,000 to 600,000 from 1999 to 2000. Cases spiked back up again in 2001to reach 800,000 cases. After 2001, cases steadily dropped. Cases of rubella basically disappeared after a brief reappearance in 2013. After 2014, rubella is virtually gone.

Chart data: Year Europe Dec 31, 1998 804567 Dec 31, 1999 621039 Dec 31, 2000 800469 Dec 31, 2001 617860 Dec 31, 2002 304390 Dec 31, 2003 263964 Dec 31, 2004 206359 Dec 31, 2005 193923 Dec 31, 2006 67927 Dec 31, 2007 23912 Dec 31, 2008 11623 Dec 31, 2009 10551 Dec 31, 2010 9677 Dec 31, 2011 30579 Dec 31, 2012 39391 Dec 31, 2013 653 Dec 31, 2014 655 Dec 31, 2015 1471 Dec 31, 2016 842 Dec 31, 2017 800

Vega-Lite specification:
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Chart description: The cases of Rubella in Europe has deceased from 800,000 in in year 2000 to zero in 2015. It came down in 2000  to 600,00 then spiked up again to 800,000 in 2002. From there on it gradually dropped to 200,500 in 2003 then to 20,00 in 2005 then gradually dropped to 0 in 2010. It then went up a small amount of approximately 50,000 in 2013 and then dropped again to zero in 2015. The line graph shows how well Rubella had declined worldwide in 15 years. I think this was because the world came together to work on the scientific medical vaccines and treatments for this very high infectious illness.

Chart data: Year Europe Dec 31, 1998 804567 Dec 31, 1999 621039 Dec 31, 2000 800469 Dec 31, 2001 617860 Dec 31, 2002 304390 Dec 31, 2003 263964 Dec 31, 2004 206359 Dec 31, 2005 193923 Dec 31, 2006 67927 Dec 31, 2007 23912 Dec 31, 2008 11623 Dec 31, 2009 10551 Dec 31, 2010 9677 Dec 31, 2011 30579 Dec 31, 2012 39391 Dec 31, 2013 653 Dec 31, 2014 655 Dec 31, 2015 1471 Dec 31, 2016 842 Dec 31, 2017 800

Vega-Lite specification:
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Chart description: Between 2006 and 2015, the US e-commerce value of drugs and druggists’ sundries wholesale trade has trended up. In 2006, the value was around 350,000 and in 2015 the value was around 620,000. It has therefore increased by around 270,000 during this period. The largest growth was in 2015, when the value increased by around 70,000. The smallest growth was in 2012, when the value only increased by approximately 10,000.

Chart data: Year E-commerce 2015 613931 2014 547414 2013 497835 2012 481596 2011 471858 2010 443458 2009 423411 2008 390884 2007 361767 2006 344778

Vega-Lite specification:
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Chart description: This shows that the value of drug/druggists' wholesale trade has increased from 2006 - 2015 from approx $340,000m to approx $610,000m.  The increase was steady year-on-year for the first 8 years, with a bigger increase for the last 2 years.

Chart data: Year E-commerce 2015 613931 2014 547414 2013 497835 2012 481596 2011 471858 2010 443458 2009 423411 2008 390884 2007 361767 2006 344778

Vega-Lite specification:
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Chart description: The drug trade in America grew every year between 2006 and 2018.

Chart data: Year E-commerce 2015 613931 2014 547414 2013 497835 2012 481596 2011 471858 2010 443458 2009 423411 2008 390884 2007 361767 2006 344778

Vega-Lite specification:
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Chart description: The Price of Coffee between 2000 and 2019 had a low point of $2/lb and a high point of $9/lb. The cheapest price was in 2014/15.  The most expensive price was in 2015/16. The price increased between 2000 and 2006.  The price decreased between 2006 and 2009. The price increased between 2009 and 2015. The price collapsed in 2015.  The price slowly increased between 2015 and 2019.

Chart data: Hawaii Year 2.65 2000/2001 2.45 2001/2002 3.1 2002/2003 2.9 2003/2004 3.55 2004/2005 4.55 2005/2006 4.3 2006/2007 4.25 2007/2008 3.4 2008/2009 3.6 2009/2010 3.8 2010/2011 4.15 2011/2012 5.9 2012/2013 6.2 2013/2014 9.12 2014/2015 1.55 2015/2016 1.71 2016/2017 1.78 2017/2018 1.9 2018/2019

Vega-Lite specification:
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Chart description: From an amount in 2000/2001 of approximately 2.5 usd per pound to 2013/2014 the price rose by fluctuating amounts to approximately 6 usd per pound. In the follwoing year there was a large increase in price to approximately 8.5 usd per pound. In the four follwoing years the rpice dropped massively to an approximate average of 1.75usd per pound.

Chart data: Hawaii Year 2.65 2000/2001 2.45 2001/2002 3.1 2002/2003 2.9 2003/2004 3.55 2004/2005 4.55 2005/2006 4.3 2006/2007 4.25 2007/2008 3.4 2008/2009 3.6 2009/2010 3.8 2010/2011 4.15 2011/2012 5.9 2012/2013 6.2 2013/2014 9.12 2014/2015 1.55 2015/2016 1.71 2016/2017 1.78 2017/2018 1.9 2018/2019

Vega-Lite specification:
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Chart description: The price for us coffee increased dramatically in 2014/15 before fall again quite dramatically in 2015/16.

Chart data: Hawaii Year 2.65 2000/2001 2.45 2001/2002 3.1 2002/2003 2.9 2003/2004 3.55 2004/2005 4.55 2005/2006 4.3 2006/2007 4.25 2007/2008 3.4 2008/2009 3.6 2009/2010 3.8 2010/2011 4.15 2011/2012 5.9 2012/2013 6.2 2013/2014 9.12 2014/2015 1.55 2015/2016 1.71 2016/2017 1.78 2017/2018 1.9 2018/2019

Vega-Lite specification:
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Chart description: Generally, the price of coffee has increased from 2.0 to 2.3 from 2003 to 2011.

Chart data: Puerto Rico** Year 1.99 2003/2004 1.94 2004/2005 2.66 2005/2006 2.57 2006/2007 2.67 2007/2008 2.19 2008/2009 2.36 2009/2010 2.37 2010/2011

Vega-Lite specification:
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Chart description: More hardline and leisure goods were sold in the period between 2010-2012. There has been a decline in the sale of hardline and leisure goods from 2012 onwards.

Chart data: Product sector Hardlines and leisure goods Dec 31, 2008 0.248 Dec 31, 2009 0.251 Dec 31, 2010 0.266 Dec 31, 2011 0.266 Dec 31, 2012 0.252 Dec 31, 2013 0.245 Dec 31, 2014 0.238 Dec 31, 2015 0.224 Dec 31, 2016 0.225 Dec 31, 2017 0.222

Vega-Lite specification:
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Chart description: As you can see by the chart in 2012-2013 the FMCG was the highest at 0.24 and this then dropped down to the lowest in 2016 to 0.21 FMCG.

Chart data: Product sector FMCG Dec 31, 2008 0.212 Dec 31, 2009 0.227 Dec 31, 2010 0.226 Dec 31, 2011 0.233 Dec 31, 2012 0.232 Dec 31, 2013 0.222 Dec 31, 2014 0.215 Dec 31, 2015 0.211 Dec 31, 2016 0.217 Dec 31, 2017 0.215

Vega-Lite specification:
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Chart description: The most watches over the 2000 to 2019 range is the electronic 20455 and mechanical watch just over 8,000. There is a gradual decline in the number of watch exported over the years with slight upsurges of 22286 electrical and 6000 mechanical exported to a more average number.

Chart data: Electronic Mechanical 13407 7239 16215 7525 17068 7238 18433 6963 20325 7812 20455 8131 20637 7474 22268 6909 21210 4939 20996 3368 27180 2476

Vega-Lite specification:
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Chart description: The x-y axis choice is not very intuitive, I don't think I understand what is trying to illustrate. There is no trend, no correlation in the data. It is supposed to be export from 2000 to 2019, but it is not clear how that was measured or represented in the plot.

Chart data: Electronic Mechanical 13407 7239 16215 7525 17068 7238 18433 6963 20325 7812 20455 8131 20637 7474 22268 6909 21210 4939 20996 3368 27180 2476

Vega-Lite specification:
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Chart description: Interventional Cardiology is by far the highest market value of all the devices in South Korea. This is almost 5x as popular as the second highest, Peripheral Vascular Devices in 2014. The graph has a title for 2007, 2014 and 2021, but only shows the statistics for 2014.

Chart data: 2014 category 257.9 Interventional Cardiology 61.9 Peripheral Vascular Devices 49.5 Cardiac Rhythm Management Devices 30.3 Cardiovascular Surgery Devices 27.7 Electrophysiology Devices 18.6 External Defibrillators 14.2 Prosthetic Heart Valves 5.6 Cardiac Assist Devices 3.5 Clot Management Devices 3.1 Cardiovascular Prosthetic Devices

Vega-Lite specification:
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Chart description: There is only one high selling profitable device at 300m USD - Interventional Cardiology.  Most devices Market Value is under 50 m USD in 2021.  CMD, CPD and CAD are the least profitable devices.

Chart data: category 2021 Interventional Cardiolog  302.7; category: Interventional Cardiology Peripheral Vascular Device  122.2; category: Peripheral Vascular Devices Cardiac Rhythm Management Device  101.8; category: Cardiac Rhythm Management Devices Cardiovascular Surgery Device  41.8; category: Cardiovascular Surgery Devices Electrophysiology Device  36.5; category: Electrophysiology Devices External Defibrillator  23.8; category: External Defibrillators Prosthetic Heart Valve  27; category: Prosthetic Heart Valves Cardiac Assist Device  7; category: Cardiac Assist Devices Clot Management Device  4.7; category: Clot Management Devices Cardiovascular Prosthetic Device  4.1; category: Cardiovascular Prosthetic Devices

Vega-Lite specification:
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Chart description: yukon has the highest wastewater newfoundland and labrador the lowest amount of wastewater.

Chart data: Country Secondary treatment Canada 0.465 Newfoundland and Labrador 0.135 Prince Edward Island 0.788 Nova Scotia 0.253 New Brunswick 0.685 Quebec 0.398 Ontario 0.594 Manitoba 0.751 Saskatchewan 0.548 Alberta 0.173 British Columbia 0.451 Yukon 1

Vega-Lite specification:
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Chart description: Newfoundland and Labrador had the highest no treatment rate.

Chart data: Country No treatment (including CSOs)* Canada 0.044 Newfoundland and Labrador 0.366 Prince Edward Island 0 Nova Scotia 0.245 New Brunswick 0.119 Quebec 0.027 Ontario 0.01 Manitoba 0.045 Saskatchewan 0.001 Alberta 0.012 British Columbia 0.111 Yukon 0

Vega-Lite specification:
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Chart description: Gdp was at its highest 2010 with over 0.05 and the lowest in 2020 with under 0.05.

Chart data: Brazil Year 0.0289 2021* −0.053 2020* 0.0113 2019 0.0131 2018 0.0131 2017 −0.0329 2016 −0.0355 2015 0.0051 2014 0.0301 2013 0.0193 2012 0.0399 2011 0.0755 2010 −0.0012 2009

Vega-Lite specification:
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Chart description: India has seen a consistent growth over the last 12 years and this is even with with a sharp decline from 2016 to 2020; we can see that India’s growth rate in now back up to 0.7.

Chart data: India Year 0.0743 2021* 0.0187 2020* 0.0423 2019 0.0612 2018 0.0704 2017 0.0826 2016 0.08 2015 0.0741 2014 0.0639 2013 0.0546 2012 0.0664 2011 0.1026 2010 0.0848 2009

Vega-Lite specification:
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Chart description: Facebook and twitter are the majority used by teenagers.

Chart data: Response Fall 2012 Instagram 0.12 Twitter 0.27 Facebook 0.42 Other 0.02 Pinterest 0.02 Tumblr 0.03 Google+ 0.06

Vega-Lite specification:
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