delen/vistext huggingface dataset:
Chart description: The average age of cars on the road in the UK has increased year on year. In 2014 and 2015 the average age of a car on the road was 8.

Chart data: Average age Year 7.7 2016* 7.8 2015* 7.8 2014 7.7 2013 7.59 2012 7.44 2011 7.25 2010 7.06 2009 6.93 2008 6.79 2007 6.73 2006 6.7 2005 6.69 2004 6.78 2003 6.88 2002 7.01 2001 7.11 2000

Vega-Lite specification:
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Chart description: The domestic tourism expenditure is steadily increasing each year. From 2020 to 2029, the data is a prediction as it has not yet happened. In 2029, the spending is predicted to be almost 200 billion euros.

Chart data: Domestic spending in billion euros Year 189.2 2029* 184.1 2028* 178.9 2027* 173.8 2026* 168.7 2025* 163.7 2024* 158.4 2023* 153.3 2022* 147.2 2021* 142.4 2020* 139.2 2019 135.9 2018 132.3 2017 126.7 2016 124 2015 114.6 2014

Vega-Lite specification:
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Chart description: The number of pigs in idian states is generally quite low. There are however one anomoly withAssam which has approximately double the number of pigs than anywhere else.

Chart data: state of India Pig population in millions Assam 2.1 Jharkhand 1.28 Meghalaya 0.71 West Bengal 0.54 Chhattisgarh 0.53 Uttar Pradesh 0.41 Nagaland 0.4 Bihar 0.34 Karnataka 0.32 Mizoram 0.29

Vega-Lite specification:
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Chart description: The market share of earthquake insurance writers in 2019 was study between 0.03 and 0.07 with California earthquake authority TV selling 0.23 of the market share yeah which is a lot higher uh and signifies the greater risk in California.

Chart data: insurance writers Market share California Earthquake Authority 0.228 State Farm Mutual Automobile Insurance 0.077 Zurich Insurance Group 0.065 Chubb Ltd. 0.048 Travelers Companies Inc. 0.039 Palomar Specialty Insurance Co. 0.039 American International Group (AIG) 0.036 AXA 0.029 GeoVera Insurance Group 0.029 Sompo Holdings Inc. 0.027

Vega-Lite specification:
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Chart description: The majority of earthquake shares were with California earthquake authority at 0.20 of the market share.

Chart data: insurance writers Market share California Earthquake Authority 0.228 State Farm Mutual Automobile Insurance 0.077 Zurich Insurance Group 0.065 Chubb Ltd. 0.048 Travelers Companies Inc. 0.039 Palomar Specialty Insurance Co. 0.039 American International Group (AIG) 0.036 AXA 0.029 GeoVera Insurance Group 0.029 Sompo Holdings Inc. 0.027

Vega-Lite specification:
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Chart description: In 2019, California Earthquake Authority made up a majority of the market share of earthquake insurance writers, with over 20% of the direct premiums written. Zurich and State farm each make up just over 5% of the premiums written, while the rest of the insurance companies make up less than 5%.

Chart data: insurance writers Market share California Earthquake Authority 0.228 State Farm Mutual Automobile Insurance 0.077 Zurich Insurance Group 0.065 Chubb Ltd. 0.048 Travelers Companies Inc. 0.039 Palomar Specialty Insurance Co. 0.039 American International Group (AIG) 0.036 AXA 0.029 GeoVera Insurance Group 0.029 Sompo Holdings Inc. 0.027

Vega-Lite specification:
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Chart description: L’Oreal Paris is worth a huge amount more than every other company.

Chart data: Brand value in Million U.S. dollars Brand (Company) 29468 L'Oréal Paris 17429 Colgate (Colgate-Palmolive) 15116 Gillette (Procter & Gamble Co.) 13617 Lancome (L'Oréal) 7232 Garnier (L'Oréal) 7048 Estée Lauder 6673 Nivea (Beiersdorf) 6558 Clinique (Estée Lauder) 6355 Dove (Unilever) 6210 Shiseido 4466 Pantene Pro-V 3846 Olay (Procter & Gamble Co.) 3185 Crest (Procter & Gamble Co.) 2925 Oral-B (Procter & Gamble Co.) 2709 Head & Shoulders

Vega-Lite specification:
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Chart description: L'Oreal Paris was the leading personal care brand in 2020, worldwide, as it valued almost 30,000 which is more than any other brand. Olay (Proctor and Gamble), Oral B (Proctor and Gamble), Crest (Proctor and Gamble), Head and Shoulders, and Pantene Pro V were the lowest value brands.

Chart data: Brand value in Million U.S. dollars Brand (Company) 29468 L'Oréal Paris 17429 Colgate (Colgate-Palmolive) 15116 Gillette (Procter & Gamble Co.) 13617 Lancome (L'Oréal) 7232 Garnier (L'Oréal) 7048 Estée Lauder 6673 Nivea (Beiersdorf) 6558 Clinique (Estée Lauder) 6355 Dove (Unilever) 6210 Shiseido 4466 Pantene Pro-V 3846 Olay (Procter & Gamble Co.) 3185 Crest (Procter & Gamble Co.) 2925 Oral-B (Procter & Gamble Co.) 2709 Head & Shoulders

Vega-Lite specification:
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Chart description: I can see that L'Oréal paris are way out in the front, with their sister company not far behind.

Chart data: Brand value in Million U.S. dollars Brand (Company) 29468 L'Oréal Paris 17429 Colgate (Colgate-Palmolive) 15116 Gillette (Procter & Gamble Co.) 13617 Lancome (L'Oréal) 7232 Garnier (L'Oréal) 7048 Estée Lauder 6673 Nivea (Beiersdorf) 6558 Clinique (Estée Lauder) 6355 Dove (Unilever) 6210 Shiseido 4466 Pantene Pro-V 3846 Olay (Procter & Gamble Co.) 3185 Crest (Procter & Gamble Co.) 2925 Oral-B (Procter & Gamble Co.) 2709 Head & Shoulders

Vega-Lite specification:
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Chart description: The graph shows that there is an increase in poverty in Missouri between the years 2000 to around 2013. In 2013 there is a decrease in poverty to around 0.13% of the population from the peak of around 0.18% in 2013.

Chart data: Response Percentage of population Dec 31, 1999 0.112 Dec 31, 2000 0.117 Dec 31, 2001 0.119 Dec 31, 2002 0.117 Dec 31, 2003 0.118 Dec 31, 2004 0.133 Dec 31, 2005 0.136 Dec 31, 2006 0.13 Dec 31, 2007 0.134 Dec 31, 2008 0.146 Dec 31, 2009 0.153 Dec 31, 2010 0.158 Dec 31, 2011 0.162 Dec 31, 2012 0.159 Dec 31, 2013 0.155 Dec 31, 2014 0.148 Dec 31, 2015 0.14 Dec 31, 2016 0.134 Dec 31, 2017 0.132 Dec 31, 2018 0.129

Vega-Lite specification:
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Chart description: The average ticket reached its peak of 60 US Dollars in 09/10 and 10/11. Common prices are valued between 42 and 50 US Dollars.

Chart data: Average ticket price in U.S. dollars Year 51.76 14/15 43.51 13/14 42.09 12/13 55.51 11/12 59.74 10/11 59.74 09/10 52.77 08/09 48.82 07/08 53.41 06/07 45.95 05/06

Vega-Lite specification:
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Chart description: The average ticket price has gone up and down a bit but not changed much since 2005.

Chart data: Average ticket price in U.S. dollars Year 51.76 14/15 43.51 13/14 42.09 12/13 55.51 11/12 59.74 10/11 59.74 09/10 52.77 08/09 48.82 07/08 53.41 06/07 45.95 05/06

Vega-Lite specification:
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Chart description: The vendor with the most revenue by some margin was Palantir with over 400 million USD of revenue. Pivotal was second followed by Splunk with about 300 and 290 million USD of revenue respectively. The majority of vendors (8 out of 15) saw revenues of less than 100 million USD.

Chart data: Year Revenue in million U.S. dollars Palantir 418 Pivotal 300 Splunk 283 Mu Sigma 160 Actian 138 Opera Solutions 124 MarkLogic 96 Syncsort 75 Cloudera 73 MongoDB 62 Hortonworks 55 Guavus 54 Alteryx 48 1010data 45 MapR 35

Vega-Lite specification:
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Chart description: Having a company name beginning with 'P' was a good indicator of success in the year 2013 for pure-play big data vendors.

Chart data: Year Revenue in million U.S. dollars Palantir 418 Pivotal 300 Splunk 283 Mu Sigma 160 Actian 138 Opera Solutions 124 MarkLogic 96 Syncsort 75 Cloudera 73 MongoDB 62 Hortonworks 55 Guavus 54 Alteryx 48 1010data 45 MapR 35

Vega-Lite specification:
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Chart description: The south east,London and the north west have the most number of households. The least number of households are in northern Ireland.

Chart data: Region Number of households South East 3.69 London 3.34 North West 3.07 East 2.63 Scotland 2.49 South West 2.47 West Midlands 2.43 Yorkshire and The Humber 2.36 East Midlands 2.03 Wales 1.37 North East 1.18 Northern Ireland 0.78

Vega-Lite specification:
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Chart description: The chart shows Ryanair is the cheapest airline per route in Europe and Firefly is the most expensive one.

Chart data: airline Average price per route in Euros Firefly 30.49 VivaAerobus 47.4 Air Asia 49.63 SpiceJet 52.24 FastJet 52.95 Onur Air 55.7 Atlasjet 62.49 Tigerair 63.04 Pegasus Airlines 64.64 Ryanair 65.67

Vega-Lite specification:
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Chart description: Using for gps and taking photos are the top uses, with translating foreign languages being the least popular.

Chart data: Share of respondents Response 0.87 Getting directions/GPS Navigation 0.78 Taking photographs 0.63 Discovering local restaurants and bars 0.61 Finding local stores/sites to visit 0.56 Finding out about events going on in the city 0.5 Reading reviews of local establishments 0.38 Looking up or storing schedules for public transportation 0.31 Buying tickets to an event or attraction (concert, museum, etc.) 0.31 Making restaurant reservations 0.29 Translating foreign languages

Vega-Lite specification:
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Chart description: Between 2008 and 2016 there was a downward trend in thdd we number if enterprises being manufactured.

Chart data: Year Number of enterprises Dec 31, 2007 357 Dec 31, 2008 349 Dec 31, 2009 346 Dec 31, 2010 338 Dec 31, 2011 344 Dec 31, 2012 336 Dec 31, 2013 327 Dec 31, 2014 324 Dec 31, 2015 306 Dec 31, 2016 305

Vega-Lite specification:
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Chart description: The number of enterprises from 2008-16 is on a decline. From 2016 the number of enterprises remained stable. Between 2008-16 the number of enterprises was not higher than 370, and no lower than 300.

Chart data: Year Number of enterprises Dec 31, 2007 357 Dec 31, 2008 349 Dec 31, 2009 346 Dec 31, 2010 338 Dec 31, 2011 344 Dec 31, 2012 336 Dec 31, 2013 327 Dec 31, 2014 324 Dec 31, 2015 306 Dec 31, 2016 305

Vega-Lite specification:
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Chart description: From 2008 to 2017 the number of enterprises in the manufacture of plastic products showed a decline from just over 350 enterprises in 2008 to just over 300 in 2017. The rate of decline does now appear to have flattened in 2017.

Chart data: Year Number of enterprises Dec 31, 2007 357 Dec 31, 2008 349 Dec 31, 2009 346 Dec 31, 2010 338 Dec 31, 2011 344 Dec 31, 2012 336 Dec 31, 2013 327 Dec 31, 2014 324 Dec 31, 2015 306 Dec 31, 2016 305

Vega-Lite specification:
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Chart description: The greatest attendance was in Season 2017/18. The lowest attendance was in Season 2019/20. Average attendance was around 17500 each season. There was a noticeable increase between the years 2016 and 2019.

Chart data: Average attendance sports season 14949 Season 2019/20 20181 Season 2018/19 20489 Season 2017/18 20119 Season 2016/17 17583 Season 2015/16 17864 Season 2014/15 16647 Season 2013/14 17533 Season 2012/13 17841 Season 2011/12 17457 Season 2010/11

Vega-Lite specification:
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Chart description: Estonia had the most hospitals in 2008Estonia has had a steady decrease of hospitals between 2000 and 2003Between 2004 and 2008 Estonia had a steady increase of hospitalsEstonia hit their lowest amount of hospitals in 2014The lowest number in 2014 has remained into 2018.

Chart data: Year Number of hospitals 2018 30 2017 30 2016 30 2015 30 2014 30 2013* 31 2012 56 2011 55 2010 57 2009 57 2008 58 2007 55 2006 54 2005 53 2004 50 2003 48 2002 51 2001 67 2000 68

Vega-Lite specification:
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Chart description: The number of birth is highest in 2017-18. the number of birth has been increasing in general since 2001 and the increase slowed down around 2010. The number of birth went about 15000 in 2007.

Chart data: Year Number of births 2019-2020* 16837 2018-2019 16800 2017-2018 17317 2016-2017 16956 2015-2016 16747 2014-2015 16703 2013-2014 16334 2012-2013 16488 2011-2012 15983 2010-2011 15614 2009-2010 15952 2008-2009 15731 2007-2008 15391 2006-2007 14842 2005-2006 14270 2004-2005 14031 2003-2004 13981 2002-2003 13765 2001-2002 13746 2000-2001 13939

Vega-Lite specification:
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Chart description: The youth unemployment rate in Lybia has been growing slowly but steadily from 2000 to 2015.

Chart data: Year Youth unemployment rate Dec 31, 1998 0.4627 Dec 31, 1999 0.464 Dec 31, 2000 0.4669 Dec 31, 2001 0.4716 Dec 31, 2002 0.4728 Dec 31, 2003 0.4752 Dec 31, 2004 0.4748 Dec 31, 2005 0.473 Dec 31, 2006 0.4709 Dec 31, 2007 0.4722 Dec 31, 2008 0.4866 Dec 31, 2009 0.4909 Dec 31, 2010 0.4963 Dec 31, 2011 0.4956 Dec 31, 2012 0.5039 Dec 31, 2013 0.5049 Dec 31, 2014 0.5066 Dec 31, 2015 0.5063 Dec 31, 2016 0.5009 Dec 31, 2017 0.4985 Dec 31, 2018 0.5047 Dec 31, 2019 0.509

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Chart description: In 2009 expenditure was just below 40,000 SEK.  It grew steadily to 50,000 SEK in 2018. In 2018 expenditure increased by almost 8,000 SEK in just 1 year.

Chart data: Year Expenditure in million SEK Dec 31, 2008 38751 Dec 31, 2009 42423 Dec 31, 2010 41070 Dec 31, 2011 42301 Dec 31, 2012 42528 Dec 31, 2013 44976 Dec 31, 2014 45438 Dec 31, 2015 46491 Dec 31, 2016 47323 Dec 31, 2017 49840 Dec 31, 2018 55969

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Chart description: the chart shows that all but one bank Deutsche Bank has had a return.

Chart data: bank Return on equity ING Group 0.1017 UBS Group AG 0.095 BBVA 0.0917 Credit Agricole Group * 0.0805 BNP Paribas  SA 0.0779 Danske Bank A/S 0.0767 Intesa Sanpaolo 0.075 Credit Suisse Group 0.0633 Banco Santander* 0.0601 HSBC Holdings 0.0563 Groupe BPCE 0.055 Societe Generale 0.0543 Lloyds Banking Group ** 0.0426 Barclays PLC * 0.0408 Nordea Bank AB 0.0393 Royal Bank Of Scotland 0.0358 Commerzbank AG 0.0267 Deutsche Bank* −0.095

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