delen/vistext huggingface dataset:
Chart description: The increase from 2008 - 2012 is higher than the increase from 2012 onwards. There was a decrease between 2012-2013 then a sharp increase.

Chart data: Response Share of households Dec 31, 2006 0.78 Dec 31, 2007 0.84 Dec 31, 2008 0.86 Dec 31, 2009 0.9 Dec 31, 2010 0.92 Dec 31, 2011 0.93 Dec 31, 2012 0.94 Dec 31, 2013 0.93 Dec 31, 2014 0.97 Dec 31, 2015 0.97 Dec 31, 2016 0.97 Dec 31, 2017 0.96 Dec 31, 2018 0.98

Vega-Lite specification:
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Chart description: The bar graph shows that the number of shipments increased year on year until 2014. The drop in shipments since then shows that people are not purchasing as many as they were, as they do not need replacing as often.

Chart data: Millions of units Year 450 2018** 443 2017** 452 2016 487 2015 532 2014 521 2013 466 2012 418 2011 366 2010 310 2009 290 2008 263 2007 234 2006 211 2005 183 2004 158 2003 142 2002

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Chart description: The most expensive room rates occur in Miami followed by New York. There is over €100 difference between the most expensive room rate (Miami) and the least expensive  (Dallas, TX).

Chart data: Average daily hotel room rate in U.S. dollars city of the United States 213 Miami, FL 195 New York City, NY 176 New Orleans, LA 170 Washington D.C. 166 San Francisco, CA 162 Fort Lauderdale, FL 153 Phoenix, AZ 149 Chicago, IL 144 Los Angeles, CA 132 San Diego, CA 125 Orlando, FL 121 Orange County, CA 120 San Antonio, TX 106 Las Vegas, NV 99 Dallas,TX

Vega-Lite specification:
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Chart description: The most common boys name in Norway 2019 is Jacob/Jakob and the least common names are Noah/Noa and Axel/Aksel.

Chart data: baby names Number of individuals Jakob/Jacob 423 Lucas/Lukas 392 Filip/Fillip/Philip/Phillip 387 Oskar/Oscar 358 Oliver 353 Emil 347 Henrik 339 William 333 Noah/Noa 314 Aksel/Axel 311

Vega-Lite specification:
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Chart description: "An eye for an eye" had the highest responses from US citizens with 0.35.

Chart data: Response Share of respondents An eye for an eye/ they took a life/ fits the crime 0.35 Save taxpayers money/ cost associated with prison 0.14 They deserve it 0.14 They will repeat crime/ keep them from repeating it 0.07 Deterrent for potential crimes/ set an example 0.06 Depends on the type of crime they commit 0.05 Fair punishment 0.04 Serve justice 0.04 If there's no doubt the person committed the crime 0.03 Support/ believe in death penalty 0.03 Don't believe they can be rehabiliateted 0.03 Biblical reasons 0.03 Life sentences don't always mean life in prison 0.02 Relieves prison overcrowding 0.02 Would help/ benefit families of victims 0.01 Other 0.01 No opinion 0.04

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Chart description: The majority of respondents who supported the death penalty cited the reason as the taking of a life or because the crime deserved "an eye for an eye" response. the second most common reasons came in jointly as saving the tax payer money and because the respondents felt that the crime deserved the death penalty. It is worth noting that only a minority of respondents felt that it would help the families of the victims.

Chart data: Response Share of respondents An eye for an eye/ they took a life/ fits the crime 0.35 Save taxpayers money/ cost associated with prison 0.14 They deserve it 0.14 They will repeat crime/ keep them from repeating it 0.07 Deterrent for potential crimes/ set an example 0.06 Depends on the type of crime they commit 0.05 Fair punishment 0.04 Serve justice 0.04 If there's no doubt the person committed the crime 0.03 Support/ believe in death penalty 0.03 Don't believe they can be rehabiliateted 0.03 Biblical reasons 0.03 Life sentences don't always mean life in prison 0.02 Relieves prison overcrowding 0.02 Would help/ benefit families of victims 0.01 Other 0.01 No opinion 0.04

Vega-Lite specification:
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Chart description: The best paid French sportsmen all drew a similar salary of around €17 million. The highest paid sportsman, Antoine Griezmann earns significantly more than the others at around €33 million.

Chart data: Annual salaries in millions of euros best-paid French sportsmen 33 Antoine Griezmann 24.7 Kylian Mbappé (football) 22.1 Paul Pogba (football) 22 Karim Benzema (football) 20.9 Nicolas Batum (basket) 20.6 Rudy Gobert (basket) 19.1 Ousmane Dembélé (football) 17.5 Joakim Noah (basket) 15.2 Evan Fournier (basket) 14.3 Franck Ribéry (football)

Vega-Lite specification:
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Chart description: Between 2009 and 2019 the average age of becoming a father increased very slightly.

Chart data: Year Average age in years Dec 31, 2008 32.4 Dec 31, 2009 32.4 Dec 31, 2010 32.4 Dec 31, 2011 32.4 Dec 31, 2012 32.4 Dec 31, 2013 32.5 Dec 31, 2014 32.5 Dec 31, 2015 32.6 Dec 31, 2016 32.7 Dec 31, 2017 32.7 Dec 31, 2018 32.8

Vega-Lite specification:
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Chart description: The average age of the father at birth in the Netherlands has stayed the same from 2009 to 2019.

Chart data: Year Average age in years Dec 31, 2008 32.4 Dec 31, 2009 32.4 Dec 31, 2010 32.4 Dec 31, 2011 32.4 Dec 31, 2012 32.4 Dec 31, 2013 32.5 Dec 31, 2014 32.5 Dec 31, 2015 32.6 Dec 31, 2016 32.7 Dec 31, 2017 32.7 Dec 31, 2018 32.8

Vega-Lite specification:
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Chart description: There is an increase in urbanisation observed in Oman between 2009 and 2019.

Chart data: year Unnamed: 1 Dec 31, 2008 0.7462 Dec 31, 2009 0.7516 Dec 31, 2010 0.7618 Dec 31, 2011 0.7756 Dec 31, 2012 0.7888 Dec 31, 2013 0.8015 Dec 31, 2014 0.8135 Dec 31, 2015 0.825 Dec 31, 2016 0.8356 Dec 31, 2017 0.8454 Dec 31, 2018 0.8544

Vega-Lite specification:
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Chart description: Maharastra, Kamataka, Andhar,Rajasthan & Telenghan are the states in India that exceed 100k teachers in India while the majority are below 50 thousand To a few with either 0 or close zero teachers whatsoever.

Chart data: state of India Number of teachers Maharastra 172046 Karnataka 127898 Telangana 120017 Andhra Pradesh 117220 Rajasthan 114947 Tamil Nadu 83095 Assam 82335 Odisha 82252 Punjab 59967 Madhya Pradesh 51155 Uttar Pradesh 48979 Jammu & Kashmir 42233 West Bengal 41759 Bihar 40095 Haryana 37902 Kerala 35461 Jharkhand 28095 Gujarat 23446 Chhattisgarh 19989 Manipur 14678 Himachal Pradesh 14418 Tripura 10456 Uttarakhand 9949 Delhi 9301 Meghalaya 9002 Nagaland 8994 Goa 6896 Mizoram 4394 Arunachal Pradesh 3898 Puducherry 3487 Sikkim 2915 Chandigarh 2824 Andaman & Nicobar Islands 992 Dadra & Nagar Haveli 256 Daman & Diu 217 Lakshadweep 23

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Chart description: There is significantly more fashion and clothing sectors than any other.

Chart data: Number of retail chains sector 44 Fashion & Clothing 21 Consumer Electronics 17 Sport & Leisure 17 Furniture & Decoration 16 Car Parts & Accessories 15 DIY & Gardening 15 Personal Care 14 Pet Care 14 Food 13 Footwear & Leather 12 Toys & Games 11 Home Ware 11 Books & Magazines 10 Petrol 9 Optical 8 Jewelry & Watches 8 Baby Ware 7 Telecom

Vega-Lite specification:
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Chart description: Tony Gonzalez had the most receiving yards with over 10,000 yards.

Chart data: Receiving yards Kansas City Chiefs 10940 Tony Gonzalez 7306 Otis Taylor 7155 Dwayne Bowe 7075 Travis Kelce 6545 Henry Marshall 6360 Carlos Carson 6341 Stephone Paige 5505 Chris Burford 5230 Eddie Kennison 4652 Tyreek Hill 3685 Derrick Alexander 3101 Fred Arbanas 3014 Willie Davis 2829 Kimble Anders 2819 J.J. Birden 2739 Abner Haynes 2516 Frank Jackson 2457 Jamaal Charles 2456 Ed Podolak 2396 Walter White

Vega-Lite specification:
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Chart description: Tony Gonzalez has the most receiving yards. Jamaal Charles has the least receiving yards.

Chart data: Receiving yards Kansas City Chiefs 10940 Tony Gonzalez 7306 Otis Taylor 7155 Dwayne Bowe 7075 Travis Kelce 6545 Henry Marshall 6360 Carlos Carson 6341 Stephone Paige 5505 Chris Burford 5230 Eddie Kennison 4652 Tyreek Hill 3685 Derrick Alexander 3101 Fred Arbanas 3014 Willie Davis 2829 Kimble Anders 2819 J.J. Birden 2739 Abner Haynes 2516 Frank Jackson 2457 Jamaal Charles 2456 Ed Podolak 2396 Walter White

Vega-Lite specification:
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Chart description: Tony Gonzalez has the longest receiving yards, over 10,000 yards. Tony Gonzalez is the only receiving leader between 1960-2000 to receive a ball over 10,000 yards away.

Chart data: Receiving yards Kansas City Chiefs 10940 Tony Gonzalez 7306 Otis Taylor 7155 Dwayne Bowe 7075 Travis Kelce 6545 Henry Marshall 6360 Carlos Carson 6341 Stephone Paige 5505 Chris Burford 5230 Eddie Kennison 4652 Tyreek Hill 3685 Derrick Alexander 3101 Fred Arbanas 3014 Willie Davis 2829 Kimble Anders 2819 J.J. Birden 2739 Abner Haynes 2516 Frank Jackson 2457 Jamaal Charles 2456 Ed Podolak 2396 Walter White

Vega-Lite specification:
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Chart description: The Kansas city chief with the most receiving years was Tony Gonzalez while the least was Walter White. Most chiefs were within the range of 2000 to 4000 yards, while 6 were within the range of 6000 to 8000 yards.

Chart data: Receiving yards Kansas City Chiefs 10940 Tony Gonzalez 7306 Otis Taylor 7155 Dwayne Bowe 7075 Travis Kelce 6545 Henry Marshall 6360 Carlos Carson 6341 Stephone Paige 5505 Chris Burford 5230 Eddie Kennison 4652 Tyreek Hill 3685 Derrick Alexander 3101 Fred Arbanas 3014 Willie Davis 2829 Kimble Anders 2819 J.J. Birden 2739 Abner Haynes 2516 Frank Jackson 2457 Jamaal Charles 2456 Ed Podolak 2396 Walter White

Vega-Lite specification:
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Chart description: The chart shows a steady increase in the value of points of the Dow Jones composite index. A few stumbles around 2000 and 2008 but overall a reasonably steady increase.

Chart data: Year Index value in points Dec 31, 1999 3317.61 Dec 31, 2000 2892.23 Dec 31, 2001 2374.96 Dec 31, 2002 3000.75 Dec 31, 2003 3395.82 Dec 31, 2004 3638.06 Dec 31, 2005 4120.96 Dec 31, 2006 4394.05 Dec 31, 2007 3086.07 Dec 31, 2008 3566.68 Dec 31, 2009 4033.19 Dec 31, 2010 4232.17 Dec 31, 2011 4442.07 Dec 31, 2012 5641.55 Dec 31, 2013 6473.6 Dec 31, 2014 5978.34 Dec 31, 2015 6902.45 Dec 31, 2016 8310.35 Dec 31, 2017 7710.44 Dec 31, 2018 9386.48 Dec 31, 2019 10108.71

Vega-Lite specification:
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Chart description: The value of the dow jones has more than doubled over the last 20 years. Small blips would always be followed by large increases.

Chart data: Year Index value in points Dec 31, 1999 3317.61 Dec 31, 2000 2892.23 Dec 31, 2001 2374.96 Dec 31, 2002 3000.75 Dec 31, 2003 3395.82 Dec 31, 2004 3638.06 Dec 31, 2005 4120.96 Dec 31, 2006 4394.05 Dec 31, 2007 3086.07 Dec 31, 2008 3566.68 Dec 31, 2009 4033.19 Dec 31, 2010 4232.17 Dec 31, 2011 4442.07 Dec 31, 2012 5641.55 Dec 31, 2013 6473.6 Dec 31, 2014 5978.34 Dec 31, 2015 6902.45 Dec 31, 2016 8310.35 Dec 31, 2017 7710.44 Dec 31, 2018 9386.48 Dec 31, 2019 10108.71

Vega-Lite specification:
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Chart description: Overall the gross private savings have increased from 1960-2010There have been a few dips inbetween.

Chart data: Year Gross private savings in trillion U.S. dollars Dec 31, 1959 0.1 Dec 31, 1969 0.23 Dec 31, 1979 0.67 Dec 31, 1989 1.14 Dec 31, 1999 1.65 Dec 31, 2000 1.81 Dec 31, 2001 2.14 Dec 31, 2002 2.24 Dec 31, 2003 2.3 Dec 31, 2004 2.45 Dec 31, 2005 2.52 Dec 31, 2006 2.41 Dec 31, 2007 2.67 Dec 31, 2008 3.28 Dec 31, 2009 3.56 Dec 31, 2010 3.73 Dec 31, 2011 3.94 Dec 31, 2012 3.62 Dec 31, 2013 3.98 Dec 31, 2014 3.8 Dec 31, 2015 3.91 Dec 31, 2016 4.19 Dec 31, 2017 4.64 Dec 31, 2018 4.75

Vega-Lite specification:
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Chart description: Visitor numbers dropped between 2012 & 2016. Number of visitors tend to increase back to pre 2012 figures after 2016.

Chart data: Year Number of visitors in millions Dec 31, 2007 1.83 Dec 31, 2008 1.94 Dec 31, 2009 2.15 Dec 31, 2010 1.84 Dec 31, 2011 1.89 Dec 31, 2012 1.68 Dec 31, 2013 1.55 Dec 31, 2014 1.64 Dec 31, 2015 1.7 Dec 31, 2016 2.16 Dec 31, 2017 1.76 Dec 31, 2018 2.13

Vega-Lite specification:
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Chart description: 2020 showed the most national debt, whereas 2019, the year before shows the less recorded.

Chart data: Year National debt to GDP ratio 2025* 1.159 2024* 1.1779 2023* 1.1961 2022* 1.2406 2021* 1.3005 2020* 1.3724 2019 1.1774 2018 1.22 2017 1.2614 2016 1.3151 2015 1.3118

Vega-Lite specification:
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Chart description: The share of household with internet access in poland are on the continuous rise from 2009 to 2019.

Chart data: Response Share of households Dec 31, 2008 0.59 Dec 31, 2009 0.63 Dec 31, 2010 0.67 Dec 31, 2011 0.7 Dec 31, 2012 0.72 Dec 31, 2013 0.75 Dec 31, 2014 0.76 Dec 31, 2015 0.8 Dec 31, 2016 0.82 Dec 31, 2017 0.84 Dec 31, 2018 0.87

Vega-Lite specification:
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Chart description: The business Staples holds the highest revenue at 14 billion US dollars whilst Fry's Electronics holds the smallest revenue across all the businesses shown on the bar chart.

Chart data: business Revenue in billion U.S. dollars Staples* 14 Menards* 10 Bass Pro Shops* 8 Petsmart* 6 84 Lumber 5.6 Academy Sports + Outdoors* 5 Hobby Lobby Stores* 5 Discount Tire 4.8 Neiman Marcus Group* 4.7 New Balance 4.1 Petco Animal Supplies* 4 Belk* 3.6 Follett 3.2 Forever 21* 2.7 Micro Electronics* 2.6 Rooms To Go* 2.5 J. Crew 2.5 Jo-Ann Stores* 2.4 Fry's Electronics* 2.3

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Chart description: Average household income has been increasing consecutively year upon year.  2019 was 70k and 1990 30k, it has more than doubled.

Chart data: Year Household income in current U.S. dollars Dec 31, 1989 29224 Dec 31, 1990 30737 Dec 31, 1991 29358 Dec 31, 1992 30510 Dec 31, 1993 31293 Dec 31, 1994 30863 Dec 31, 1995 31637 Dec 31, 1996 32740 Dec 31, 1997 37090 Dec 31, 1998 36995 Dec 31, 1999 39783 Dec 31, 2000 42704 Dec 31, 2001 39734 Dec 31, 2002 41166 Dec 31, 2003 43846 Dec 31, 2004 45245 Dec 31, 2005 46657 Dec 31, 2006 47215 Dec 31, 2007 46914 Dec 31, 2008 45739 Dec 31, 2009 46896 Dec 31, 2010 48621 Dec 31, 2011 47044 Dec 31, 2012 50602 Dec 31, 2013 49254 Dec 31, 2014 52248 Dec 31, 2015 57100 Dec 31, 2016 61125 Dec 31, 2017 62283 Dec 31, 2018 70674

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