delen/vistext huggingface dataset:
Chart description: The distribution of employment from 2010 to 2010 never fell below the industry of 0.2.

Chart data: Year Industry Dec 31, 2009 0.2135 Dec 31, 2010 0.2127 Dec 31, 2011 0.2098 Dec 31, 2012 0.2036 Dec 31, 2013 0.2089 Dec 31, 2014 0.2218 Dec 31, 2015 0.211 Dec 31, 2016 0.2189 Dec 31, 2017 0.222 Dec 31, 2018 0.2213 Dec 31, 2019 0.2206

Vega-Lite specification:
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Chart description: The pattern i can observe is that the distribution of employment by economic sector increased a little but then reduced back down again in 2018 to not much more than in 2010.

Chart data: Year Industry Dec 31, 2009 0.2135 Dec 31, 2010 0.2127 Dec 31, 2011 0.2098 Dec 31, 2012 0.2036 Dec 31, 2013 0.2089 Dec 31, 2014 0.2218 Dec 31, 2015 0.211 Dec 31, 2016 0.2189 Dec 31, 2017 0.222 Dec 31, 2018 0.2213 Dec 31, 2019 0.2206

Vega-Lite specification:
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Chart description: The distribution within Industy of employment has been steady throughout the period, despite some variation on a year to year basis.

Chart data: Year Industry Dec 31, 2009 0.2135 Dec 31, 2010 0.2127 Dec 31, 2011 0.2098 Dec 31, 2012 0.2036 Dec 31, 2013 0.2089 Dec 31, 2014 0.2218 Dec 31, 2015 0.211 Dec 31, 2016 0.2189 Dec 31, 2017 0.222 Dec 31, 2018 0.2213 Dec 31, 2019 0.2206

Vega-Lite specification:
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Chart description: in 2006 there were just over 500 aircarriers in the US, it seems to reduce to just below 500 from 2009 to 2013 and then quite quickly start increasing from then up until 2020 to just over 700.

Chart data: Mainline air carriers Fiscal year 690 2020* 654 2019* 627 2018 595 2017 575 2016 543 2015 513 2014 498.8 2013 494.8 2012 488.4 2011 473.6 2010 476.8 2009 521.6 2008 533.9 2007 516.3 2006

Vega-Lite specification:
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Chart description: While the bar chart goes from 2006 to 2020, 2019 and 2020 are marked with asterisks, showing that there is perhaps additional information to bear in mind. Starting at around 150 million in 2006, the number dips noticeably in 2009, before going exceeding 2008's value in 2010. The number then steadily drops to a low in 2017, before climbing more rapidly for the remaining years, ending at a high of approximately 160 million. Precise numbers are hard to gauge due to a lack of fine markers.

Chart data: Fiscal year Regional air carriers 2020* 168 2019* 159 2018 154 2017 149 2016 152 2015 153 2014 155 2013 155.5 2012 159 2011 161.7 2010 161.6 2009 154 2008 159.1 2007 156.2 2006 152.2

Vega-Lite specification:
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Chart description: Between 2006 and 2020 most emplanements  were above 150 per year. Only 2007 was below 150.

Chart data: Fiscal year Regional air carriers 2020* 168 2019* 159 2018 154 2017 149 2016 152 2015 153 2014 155 2013 155.5 2012 159 2011 161.7 2010 161.6 2009 154 2008 159.1 2007 156.2 2006 152.2

Vega-Lite specification:
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Chart description: This bar graph shows a natural and healthy increase in the monthly earnings in Finland between 2009 and 2019. This graph shows an increase from the average monthly earning in 2009 of around 3,100 to the final monthly earning in 2019 being around 3,450.

Chart data: Year Private sector and others 2019* 3612 2018 3547 2017 3485 2016 3456 2015 3428 2014 3381 2013 3333 2012 3254 2011 3148 2010 3070 2009 3091

Vega-Lite specification:
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Chart description: Central government earnings have risen at a steady rate from 2009 to 2019, rising by around 800 in that time.

Chart data: Year Central government 2019* 3989 2018 3905 2017 3850 2016 3830 2015 3791 2014 3740 2013 3663 2012 3579 2011 3445 2010 3337 2009 3231

Vega-Lite specification:
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Chart description: Egypt saw double the imports of Brazil. None of the recorded countries saw less than 4,000.

Chart data: Country 2015/2016 Egypt 11925 Indonesia 10116 Brazil 5922 Philippines 4918 Turkey 4405 Algeria 8153 Japan 5715 European Union 6916 Mexico 4805 Nigeria 4410

Vega-Lite specification:
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Chart description: Egypt and Indonesia have reached over 10,000 compared to the rest of the countries that imported between 4,000 and 8,000 wheat, flour and wheat products. These countries include Algeria, Brazil, EU etc.

Chart data: Country 2016/2017 Egypt 11500 Indonesia 10000 Brazil 7788 Philippines 5684 Turkey 4500 Algeria 8200 Japan 5900 European Union 5300 Mexico 5250 Nigeria 4925

Vega-Lite specification:
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Chart description: Egypt is the country with the greatest amount of wheat,flour and wheat products imported.  Turkey is the country that has imported the smallest amount of wheat,flour and wheat products.  Egypt has imported more than twice the amount of wheat,flour and wheat products than the entire EU.

Chart data: Country 2016/2017 Egypt 11500 Indonesia 10000 Brazil 7788 Philippines 5684 Turkey 4500 Algeria 8200 Japan 5900 European Union 5300 Mexico 5250 Nigeria 4925

Vega-Lite specification:
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Chart description: Both Indonesia and Egypt imported the most wheat and flour products during the timeframes shown above.

Chart data: Country 2017/2018 Egypt 12500 Indonesia 12500 Brazil 7500 Philippines 6059 Turkey 6400 Algeria 7500 Japan 5800 European Union 5500 Mexico 5300 Nigeria 5200

Vega-Lite specification:
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Chart description: Egypt imported most wheat according to the chart visualising principal importing countries of wheat , flour and wheat products from 2014/2015 to 2018/2019. Egypt imported over 12 000 metric tons of wheat.  The lowest importer is Nigeria with 5000 metric tons of wheat.

Chart data: 2018/2019 Country 12347 Egypt 10780 Indonesia 7442 Brazil 7546 Philippines 6494 Turkey 7515 Algeria 5726 Japan 5762 European Union 4861 Mexico 4585 Nigeria

Vega-Lite specification:
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Chart description: Egypt imported the most wheat, flour and wheat products compared to the other countries and Indonesia also imported over 10,000 metric tons. Nigeria imported the least products within these countries. European union and Japan imported the same amount of products from 2014/2015 to 2018/2019.

Chart data: 2018/2019 Country 12347 Egypt 10780 Indonesia 7442 Brazil 7546 Philippines 6494 Turkey 7515 Algeria 5726 Japan 5762 European Union 4861 Mexico 4585 Nigeria

Vega-Lite specification:
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Chart description: Other than 2012-2014 GlaxoSmithKline’s profits have up each year. The profits in 2019 are considerably higher than in 2006.

Chart data: Year Consumer Healthcare 2019 8995 2018 7658 2017 7750 2016* 7193 2015* 6038 2014* 4322 2013* 4713 2012* 4731 2011 5403 2010 5108 2009 4715 2008 3971 2007 3553 2006 3212

Vega-Lite specification:
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Chart description: Despite a small dip in 2011, the chart shows a general trend towards an increase in distribution of employment in the service sector. Distribution ranges between 0.6 and 0.7.

Chart data: Year Services Dec 31, 2009 0.6547 Dec 31, 2010 0.6315 Dec 31, 2011 0.644 Dec 31, 2012 0.6547 Dec 31, 2013 0.6599 Dec 31, 2014 0.6544 Dec 31, 2015 0.6638 Dec 31, 2016 0.6651 Dec 31, 2017 0.6706 Dec 31, 2018 0.6728 Dec 31, 2019 0.6757

Vega-Lite specification:
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Chart description: Most of the 18 players received no red cards with the exception of 3 on of which receiving 2 you wouldn’t expect trends in this data as they are individual people.

Chart data: Bundesliga Club Red card Borussia Dortmund 0 SC Freiburg 0 RasenBallsport Leipzig 0 VfL Wolfsburg 0 Arminia Bielefeld 0 Hertha BSC 0 Bayer 04 Leverkusen 0 FC Bayern München 1 1.FC Köln 0 1.FSV Mainz 05 0 1.FC Union Berlin 1 FC Augsburg 0 Borussia Mönchengladbach 1 VfB Stuttgart 0 SV Werder Bremen 0 FC Schalke 04 0 Eintracht Frankfurt 0 TSG 1899 Hoffenheim 2

Vega-Lite specification:
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Chart description: Only 5 red cards were given in total during the season. These cards were given to 4 different clubs: Union Berlin, Borussia Monchegladbach, FC Bayern Munchen each recieved 1 red card. TSG 1899 Hoffenheim were the club who received the most red cards, and received 2 red cards.

Chart data: Bundesliga Club Red card Borussia Dortmund 0 SC Freiburg 0 RasenBallsport Leipzig 0 VfL Wolfsburg 0 Arminia Bielefeld 0 Hertha BSC 0 Bayer 04 Leverkusen 0 FC Bayern München 1 1.FC Köln 0 1.FSV Mainz 05 0 1.FC Union Berlin 1 FC Augsburg 0 Borussia Mönchengladbach 1 VfB Stuttgart 0 SV Werder Bremen 0 FC Schalke 04 0 Eintracht Frankfurt 0 TSG 1899 Hoffenheim 2

Vega-Lite specification:
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Chart description: TSG 1899 hoffenheim completed the season with the highest points compared to both Brussia dortmund with the lowest below 20!.

Chart data: Bundesliga Club Points Borussia Dortmund 19 SC Freiburg 21 RasenBallsport Leipzig 22 VfL Wolfsburg 22 Arminia Bielefeld 22 Hertha BSC 23 Bayer 04 Leverkusen 24 FC Bayern München 25 1.FC Köln 28 1.FSV Mainz 05 28 1.FC Union Berlin 28 FC Augsburg 28 Borussia Mönchengladbach 32 VfB Stuttgart 32 SV Werder Bremen 32 FC Schalke 04 36 Eintracht Frankfurt 39 TSG 1899 Hoffenheim 42

Vega-Lite specification:
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Chart description: The patterns that I can see is that a lack of time is the main reason for not reading books, and that people do other things than reading books - this all suggests the popularity of book reading is decreasing; but as I cannot see all of the writing, I cannot say all of the reasons for people not reading books.

Chart data: Response Yes, absolutely You do not have time 0.47 You prefer to spend more time doing other leisure activities 0.32 You read other things than books (press, blogs, multimedia content) 0.36 You are not interested in reading more books 0.24 Books are too expensive 0.1 You do not feel the need to read 0.13 You have difficulties finding books that you like 0.11 You do not really enjoy reading 0.09 You have been disappointed by previous readings 0.06 The people around you do not read 0.08 You do not have easy access to books (you live far from a library or a bookstore) 0.08 You feel out of place in bookstores or libraries 0.05 You are afraid of reading. You feel that you will not succeed. 0.02

Vega-Lite specification:
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Chart description: Thd second highest reason for mot reading books is that they are reading other things, the third highest reason is thd prefer to spend more time.... doing what we don't know as the full answer is not shown. Thd fourth highest reason is nig being interested in book's after that thdcreasons drop significantly.

Chart data: Response Yes, absolutely You do not have time 0.47 You prefer to spend more time doing other leisure activities 0.32 You read other things than books (press, blogs, multimedia content) 0.36 You are not interested in reading more books 0.24 Books are too expensive 0.1 You do not feel the need to read 0.13 You have difficulties finding books that you like 0.11 You do not really enjoy reading 0.09 You have been disappointed by previous readings 0.06 The people around you do not read 0.08 You do not have easy access to books (you live far from a library or a bookstore) 0.08 You feel out of place in bookstores or libraries 0.05 You are afraid of reading. You feel that you will not succeed. 0.02

Vega-Lite specification:
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Chart description: The monthly market capitalisation of BNP Paribas was highest in December 2019 at about 64 billion US dollars and lowest in April 2020 at about 39 billion US dollars. The monthly market capitalization of BNP Paribas seemed to spike in December 2019 and then fall until March 2020, where it remained stable until September.

Chart data: BNP Paribas (France) Month 43.52 Oct '20 45.59 Sep '20 54.33 Aug '20 50.04 Jul '20 49.74 Jun '20 44.82 May '20 39.25 Apr '20 42.62 Mar '20 60.32 Feb '20 66.18 Jan '20 74.03 Dec '19

Vega-Lite specification:
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Chart description: From the visualisation it is evident that monthly market capitalisation of Europe's largest banks since the coronavirus from December 2019 to October 2020 was the highest between December 2019 to February 2020 and then almost halved ever since.

Chart data: Month Lloyds Banking Group (UK) Oct '20 24.96 Sep '20 23 Aug '20 25.13 Jul '20 25.62 Jun '20 26.54 May '20 24.76 Apr '20 28.18 Mar '20 26.59 Feb '20 44.9 Jan '20 52.01 Dec '19 57.97

Vega-Lite specification:
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Chart description: the number of children who viste museums over the past ten years has stayed almot consistent only dipping below 0.6 once.

Chart data: 5-10 years Response 0.608 2019/20 0.625 2018/19 0.586 2017/18 0.63 2016/17 0.629 2015/16 0.636 2014/15 0.628 2013/14 0.632 2012/13 0.609 2011/12 0.676 2010/11 0.703 2009/10 0.66 2008/09

Vega-Lite specification:
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Chart description: The data does not show much variation of responses throughout the years. The graph shows the responses given are from the older children of the age gruoup.

Chart data: Response 11-15 years 2019/20 0.556 2018/19 0.601 2017/18 0.574 2016/17 0.637 2015/16 0.587 2014/15 0.604 2013/14 0.604 2012/13 0.576 2011/12 0.609 2010/11 0.607 2009/10 0.668 2008/09 0.594

Vega-Lite specification:
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Chart description: In the 11-year span of the data, there was very little change and the data remained fairly consistent.

Chart data: Response 11-15 years 2019/20 0.556 2018/19 0.601 2017/18 0.574 2016/17 0.637 2015/16 0.587 2014/15 0.604 2013/14 0.604 2012/13 0.576 2011/12 0.609 2010/11 0.607 2009/10 0.668 2008/09 0.594

Vega-Lite specification:
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Chart description: The average salary in Japan hasn't really increased over the decade of 2008-2018.

Chart data: Year Japan Dec 31, 2007 37467.03 Dec 31, 2008 37111.87 Dec 31, 2009 37774.68 Dec 31, 2010 38627.37 Dec 31, 2011 37967.62 Dec 31, 2012 37941.66 Dec 31, 2013 37265.12 Dec 31, 2014 37225.93 Dec 31, 2015 37896.31 Dec 31, 2016 38084.71 Dec 31, 2017 38193.17 Dec 31, 2018 38617.47

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