delen/vistext huggingface dataset:
Chart description: The yearly operating expenses of waste management has not been below 8000 million US dollars since 2010.

Chart data: Year Operating expenses in million U.S. dollars Dec 31, 2009 7824 Dec 31, 2010 8541 Dec 31, 2011 8879 Dec 31, 2012 9112 Dec 31, 2013 9002 Dec 31, 2014 8231 Dec 31, 2015 8486 Dec 31, 2016 9021 Dec 31, 2017 9249 Dec 31, 2018 9496

Vega-Lite specification:
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Chart description: As time progressed, the operating expenses in US dollars increased, however there was a deviation from this trend in 2014/2015 as the expense declined.

Chart data: Year Operating expenses in million U.S. dollars Dec 31, 2009 7824 Dec 31, 2010 8541 Dec 31, 2011 8879 Dec 31, 2012 9112 Dec 31, 2013 9002 Dec 31, 2014 8231 Dec 31, 2015 8486 Dec 31, 2016 9021 Dec 31, 2017 9249 Dec 31, 2018 9496

Vega-Lite specification:
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Chart description: Operating expenses rose steadily from 2010 to 2013. Thye fell slightly between 2013 and 2014 and then fell more sharply in the year to 2015. SInce 2015, they have steadily increased.

Chart data: Year Operating expenses in million U.S. dollars Dec 31, 2009 7824 Dec 31, 2010 8541 Dec 31, 2011 8879 Dec 31, 2012 9112 Dec 31, 2013 9002 Dec 31, 2014 8231 Dec 31, 2015 8486 Dec 31, 2016 9021 Dec 31, 2017 9249 Dec 31, 2018 9496

Vega-Lite specification:
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Chart description: The operating expenses during this period range from about 8000 to almost 10000 million USD. After a period of increase from 2010 to 2013, there is a drop until 2015, followed by a steady increase to its peak in 2019. The drop in 2015 did not reach the lowest point of 2010.

Chart data: Year Operating expenses in million U.S. dollars Dec 31, 2009 7824 Dec 31, 2010 8541 Dec 31, 2011 8879 Dec 31, 2012 9112 Dec 31, 2013 9002 Dec 31, 2014 8231 Dec 31, 2015 8486 Dec 31, 2016 9021 Dec 31, 2017 9249 Dec 31, 2018 9496

Vega-Lite specification:
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Chart description: 2009 is the only year with negative GDP. GDP is trending downwards overall. There can be large swings in GDP year to year, é.g.2009 to 2010,.

Chart data: Year Percent change compared to preceding period Dec 31, 1999 0.09 Dec 31, 2000 0.023 Dec 31, 2001 0.039 Dec 31, 2002 0.059 Dec 31, 2003 0.072 Dec 31, 2004 0.056 Dec 31, 2005 0.029 Dec 31, 2006 0.037 Dec 31, 2007 0.021 Dec 31, 2008 −0.016 Dec 31, 2009 0.047 Dec 31, 2010 0.047 Dec 31, 2011 0.038 Dec 31, 2012 0.042 Dec 31, 2013 0.045 Dec 31, 2014 0.032 Dec 31, 2015 0.026 Dec 31, 2016 0.034 Dec 31, 2017 0.052 Dec 31, 2018 0.032

Vega-Lite specification:
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Chart description: Alex English has scored the most points at over 20000, at least 5000 points more than anyone else. All the points leaders have scored over 5000. There are only three points leaders that have scored over 10000.

Chart data: Points scored all-time points leaders 21645 Alex English 14659 Dan Issel 13970 Carmelo Anthony 9834 David Thompson 8081 Lafayette Lever 7029 Mahmoud Abdul-Rauf 6868 Nene 6829 Kiki Vandeweghe 6555 Antonio McDyess 6462 Nikola Jokic

Vega-Lite specification:
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Chart description: The patterns in this graph show that one player was exceptionally above all other players during the 44 years. This pattern is very unusual. The majority  (7) of the players all fall within ‘up to 9000 points’. Two players are ‘up to 14000’ but Alex English is almost off the graph. The pattern tells me that the team is all of a standard bar one player.

Chart data: Points scored all-time points leaders 21645 Alex English 14659 Dan Issel 13970 Carmelo Anthony 9834 David Thompson 8081 Lafayette Lever 7029 Mahmoud Abdul-Rauf 6868 Nene 6829 Kiki Vandeweghe 6555 Antonio McDyess 6462 Nikola Jokic

Vega-Lite specification:
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Chart description: The standard CET ratio seems to be 0.15 amongst banks.

Chart data: CET1 ratio bank 0.195 OP Financial Group (Finland) 0.1856 DNB ASA (Norway) 0.1853 Svenska Handelsbanken AB (Sweden) 0.1813 ABN AMRO Bank NV (Netherlands) 0.1759 Skandinaviska Enskilda Banken AB (Sweden) 0.1712 Danske Bank A/S (Denmark) 0.163 Rabobank (Netherlands) 0.1622 Royal Bank of Scotland Group plc (UK) 0.161 KBC Group NV (Netherlands) 0.1594 Credit Agricole Group (France) 0.1564 Groupe BPCE (France) 0.1557 Belfius Banque SA (Belgium) 0.146 HSBC Holdings plc (UK) 0.1457 ING Groep NV (Netherlands) 0.144 DZ Bank AG (Germany)

Vega-Lite specification:
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Chart description: The share of African American students in school student counselling is nearly twice of that in any other discipline. With the exception of school student counselling, there is a fairly equal distribution of African American students in the other disciplines tracked in the graph.

Chart data: Response Share of U.S. students School Student Counseling 0.38 Human Services and Community Organization 0.21 Counseling Psychology 0.2 Health and Medical Administrative Services 0.18 Public Administration 0.18 Social Work 0.16 Miscellaneous Social Sciences 0.16 General Medical and Health Services 0.15 Public Policy 0.15 Community and Public Health 0.14

Vega-Lite specification:
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Chart description: The category of 'School Student Counseling'  has a significantly greater share than the other categories. The category 'Community and Public Health' has the least. The difference between this and the next lowest is not as great as between the two highest. The majority of the categories fall within the range to 0.2. The 'School Student Counseling' category is very much an outlier.

Chart data: Response Share of U.S. students School Student Counseling 0.38 Human Services and Community Organization 0.21 Counseling Psychology 0.2 Health and Medical Administrative Services 0.18 Public Administration 0.18 Social Work 0.16 Miscellaneous Social Sciences 0.16 General Medical and Health Services 0.15 Public Policy 0.15 Community and Public Health 0.14

Vega-Lite specification:
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Chart description: Total number of deceased donor organ transplants in the U.K. is between 3000 and 4000 per year.

Chart data: Total number of organ transplants Year 3760 2019/20 3952 2018/19 4038 2017/18 3710 2016/17 3528 2015/16 3340 2014/15 3508 2013/14 3118 2012/13 2916 2011/12 2706 2010/11 2660 2009/10

Vega-Lite specification:
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Chart description: The data has once peaked over .12 in 2012 while in 2008 the lowest point was .09. The overall pattern was downwards until 2008 it started to go back up again until it leveled out in 2013.

Chart data: Response Percentage of population Dec 31, 1999 0.114 Dec 31, 2000 0.114 Dec 31, 2001 0.11 Dec 31, 2002 0.097 Dec 31, 2003 0.103 Dec 31, 2004 0.095 Dec 31, 2005 0.094 Dec 31, 2006 0.087 Dec 31, 2007 0.094 Dec 31, 2008 0.098 Dec 31, 2009 0.112 Dec 31, 2010 0.113 Dec 31, 2011 0.126 Dec 31, 2012 0.109 Dec 31, 2013 0.112 Dec 31, 2014 0.111 Dec 31, 2015 0.113 Dec 31, 2016 0.113 Dec 31, 2017 0.111 Dec 31, 2018 0.101

Vega-Lite specification:
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Chart description: 2014 was the best year for transactions in this time period while 2009 was the worst. There was a dip in the market,but ot seems to be recovering.

Chart data: Year Transaction value in million GBP 2014* 79373 2013 68288 2012 55984 2011 53949 2010 51479 2009 36220 2008 40404 2007 72301 2006 65078 2005 48608

Vega-Lite specification:
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Chart description: All museums were attended by at least 2000 000 during 2019. By far the most popular museum was The louvre in Paris with an attendance of 9600 000. Receiving 6800000 visitors was The Vatican. Now trying to group the many museums next with about 6000000 visitors were The British Museum, London, National gallery London and Tate modern London. natural History, london and State Hermitage, St Pertersburgh appox 5500000. Reina Sofia, Madrid 4200000. The remaining 12 museums all received between 2000000 and 4000000 visitors.

Chart data: Attendance in thousands art museum 9600 Louvre, Paris 6883 Vatican Museums, Vatican 6208 British Museum, London 6098 Tate Modern, London 6011 National Gallery, London 5424 Natural History Museum, London 4957 State Hermitage, St Petersburg 4426 Reina Sofia, Madrid 3921 Victoria and Albert Museum, London 3652 Musée D'Orsay, Paris 3270 Centre Pompidou, Paris 3254 Science Museum (South Kensington), London 3203 Museo Nacional Del Prado, Madrid 2836 State Tretyakov Gallery, Moscow 2700 Rijksmuseum, Amsterdam 2370 Cité des Sciences et de l'Industrie, Paris 2362 Galleria Degli Uffizi, Florence 2300 Auschwitz-Birkenau Museum, Oświęcim 2210 National Museum of Scotland, Edinburgh 2100 Van Gogh Museum, Amsterdam

Vega-Lite specification:
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Chart description: The majority number of confirmed Covid-19 recorded in 2021 in Malaysia was found in two states - Sabar and Selangor. They recorded the largest number of confirmed Covid-19 cases of over 70,000. Other states recorded less than 10,000 cases and Perlis state had zero number of case.

Chart data: Number of cases state of Malaysia 38960 Sabah 36641 Selangor 14942 Kuala Lumpur 8361 Negeri Sembilan 7899 Johor 4297 Pulau Pinang 3426 Perak 3278 Kedah 1768 Labuan 1479 Pahang 1417 Melaka 1166 Sarawak 1019 Kelantan 395 Terengganu 343 Putrajaya 47 Perlis

Vega-Lite specification:
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Chart description: Sabah and selangor had the most covid cases since Jan 2021.

Chart data: Number of cases state of Malaysia 38960 Sabah 36641 Selangor 14942 Kuala Lumpur 8361 Negeri Sembilan 7899 Johor 4297 Pulau Pinang 3426 Perak 3278 Kedah 1768 Labuan 1479 Pahang 1417 Melaka 1166 Sarawak 1019 Kelantan 395 Terengganu 343 Putrajaya 47 Perlis

Vega-Lite specification:
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Chart description: share of revenue of alphabet and google has gone down over the years highest in 2007 lowest in 2016.

Chart data: Response Share of revenue Dec 31, 2006 0.15 Dec 31, 2007 0.14 Dec 31, 2008 0.13 Dec 31, 2009 0.11 Dec 31, 2010 0.11 Dec 31, 2011 0.11 Dec 31, 2012 0.1 Dec 31, 2013 0.1 Dec 31, 2014 0.1 Dec 31, 2015 0.09

Vega-Lite specification:
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Chart description: The graph shows the share of revenue decreasing as the years go on.

Chart data: Response Share of revenue Dec 31, 2006 0.15 Dec 31, 2007 0.14 Dec 31, 2008 0.13 Dec 31, 2009 0.11 Dec 31, 2010 0.11 Dec 31, 2011 0.11 Dec 31, 2012 0.1 Dec 31, 2013 0.1 Dec 31, 2014 0.1 Dec 31, 2015 0.09

Vega-Lite specification:
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Chart description: In the top 10% of publishers, Electronic Arts showed the highest number of daily downloads of over 200K.  Forty percent of companies were between 100K and 200K downloads, i.e., Cheetah Technology Corp. Ltd.,at approximately 130K,  Miniclip at approximately 150000, Zynga at approximately 110,000 and Gameloft at approximately 105,000 downloads.  The remaining fifty percent of publishers fell below 100,000 downloads, i.e., approximately 80,000 for King and Rovio Entertainment, with Lowtech Studios, Supercell, and Ketchapp ranging from approximately 60,000 to 75,000 downloads in that order.

Chart data: video game developer Number of downloads in thousands Electronic Arts 214.5 Cheetah Technology Corp. Ltd. 182.9 Miniclip.com 155.7 Zynga 108.9 Gameloft 106.8 King 91.4 Rovio Entertainment 90.4 Ketchapp 79.4 Supercell 74.3 Lowtech Studios 70.6

Vega-Lite specification:
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Chart description: The chart shows the youth employment rate between 1999 and 2020. The rate never fell below 0.15.

Chart data: Year Youth unemployment rate Dec 31, 1998 0.144 Dec 31, 1999 0.1777 Dec 31, 2000 0.2142 Dec 31, 2001 0.2038 Dec 31, 2002 0.1927 Dec 31, 2003 0.1875 Dec 31, 2004 0.1826 Dec 31, 2005 0.1766 Dec 31, 2006 0.1873 Dec 31, 2007 0.2184 Dec 31, 2008 0.1616 Dec 31, 2009 0.2008 Dec 31, 2010 0.2021 Dec 31, 2011 0.205 Dec 31, 2012 0.2074 Dec 31, 2013 0.2082 Dec 31, 2014 0.2098 Dec 31, 2015 0.2108 Dec 31, 2016 0.2098 Dec 31, 2017 0.2088 Dec 31, 2018 0.2094 Dec 31, 2019 0.211

Vega-Lite specification:
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Chart description: The total health care expenditure share of GDP is the lowest at the start of the graph and increases steadily with some parts going back down till 2010. It then decreases slightly past 2015 but at the end of the graph it begins to rise again.

Chart data: Year Total healthcare expenditure share of GDP Dec 31, 1996 0.069 Dec 31, 1997 0.071 Dec 31, 1998 0.072 Dec 31, 1999 0.073 Dec 31, 2000 0.077 Dec 31, 2001 0.08 Dec 31, 2002 0.082 Dec 31, 2003 0.085 Dec 31, 2004 0.085 Dec 31, 2005 0.087 Dec 31, 2006 0.089 Dec 31, 2007 0.092 Dec 31, 2008 0.1 Dec 31, 2009 0.1 Dec 31, 2010 0.1 Dec 31, 2011 0.101 Dec 31, 2012 0.1 Dec 31, 2013 0.1 Dec 31, 2014 0.099 Dec 31, 2015 0.099 Dec 31, 2016 0.098 Dec 31, 2017 0.1

Vega-Lite specification:
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Chart description: The Bar chart appear to show an general uptrend which indicates that the value of imported cotton into India is increasing. Between the years 2011 - 2016 there is a gradual price increase. However Imported value jumps significantly betwen 2016-2017 approximately 158%. The imported value stays roughly the same between 2017 - 2018 at aroung 64 Billion Rupees, falling in 2019 to 42 Million. Imported value of Cotton the rises sharply close to 96 Billion Rupees in 2020.

Chart data: Fiscal year Import value in billion Indian rupees FY 2020 93.71 FY 2019 43.83 FY 2018 63.07 FY 2017 63.4 FY 2016 25.7 FY 2015 31.02 FY 2014 23.76 FY 2013 24.67 FY 2012 10.59 FY 2011 6.22

Vega-Lite specification:
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Chart description: The average cost to attend university per year in the United States from the academic year 2000/01 to 2017/18 has increased in cost every year. On average it equates to a increase of around $1.5k per year.

Chart data: Average cost to attend university Year 32782 2017/18 31867 2016/17 30997 2015/16 30246 2014/15 29359 2013/14 28457 2012/13 27406 2011/12 26337 2010/11 25168 2009/10 24185 2008/09 22994 2007/08 21831 2006/07 20646 2005/06 19535 2004/05 18325 2003/04 15381 2000/01

Vega-Lite specification:
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Chart description: Sales of vinegar are at the highest level in 2019 between the period of 2008-2019.   2008 had the lowest level between this period.

Chart data: Year Sales volume in thousand liters 2019 89755 2018 82928 2017 74385 2016 75499 2015 77361 2014 84621 2013*** 78034 2011 69132 2010 75183 2009 72818 2008 65451

Vega-Lite specification:
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Chart description: The number of movie tickets sold in the US and Canada has never fallen below 1,000 million between 1980-2019. The highest point was above 1,500 million between 2000-2010. Most years between 1980-2019, the figure has fluctuated between 1,000 million and 1,500 million.

Chart data: Year Number of tickets sold in millions Dec 31, 1979 1022 Dec 31, 1980 1067 Dec 31, 1981 1175 Dec 31, 1982 1197 Dec 31, 1983 1199 Dec 31, 1984 1056.1 Dec 31, 1985 1017.2 Dec 31, 1986 1088.5 Dec 31, 1987 1084.8 Dec 31, 1988 1262.8 Dec 31, 1989 1188.6 Dec 31, 1990 1140.6 Dec 31, 1991 1173.2 Dec 31, 1992 1244 Dec 31, 1993 1291.7 Dec 31, 1994 1221.69 Dec 31, 1995 1305.17 Dec 31, 1996 1385.22 Dec 31, 1997 1443.83 Dec 31, 1998 1444.66 Dec 31, 1999 1397.46 Dec 31, 2000 1476.22 Dec 31, 2001 1575.75 Dec 31, 2002 1524.3 Dec 31, 2003 1495.65 Dec 31, 2004 1373.22 Dec 31, 2005 1398.74 Dec 31, 2006 1420.04 Dec 31, 2007 1358.04 Dec 31, 2008 1418.57 Dec 31, 2009 1328.55 Dec 31, 2010 1282.89 Dec 31, 2011 1381.11 Dec 31, 2012 1339.17 Dec 31, 2013 1257.4 Dec 31, 2014 1323.27 Dec 31, 2015 1301.66 Dec 31, 2016 1225.64 Dec 31, 2017 1311.32 Dec 31, 2018 1239.25

Vega-Lite specification:
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Chart description: Between 1980 and 2000 the general trend was that movie tickets bought increased but in individual years there was not a year on year increase and the number fluctuates and sometimes decreases. After 2010 the number of tickets sold trends in the negative direction reducing year on year but still above the level of tickets bought in the 1990’s.

Chart data: Year Number of tickets sold in millions Dec 31, 1979 1022 Dec 31, 1980 1067 Dec 31, 1981 1175 Dec 31, 1982 1197 Dec 31, 1983 1199 Dec 31, 1984 1056.1 Dec 31, 1985 1017.2 Dec 31, 1986 1088.5 Dec 31, 1987 1084.8 Dec 31, 1988 1262.8 Dec 31, 1989 1188.6 Dec 31, 1990 1140.6 Dec 31, 1991 1173.2 Dec 31, 1992 1244 Dec 31, 1993 1291.7 Dec 31, 1994 1221.69 Dec 31, 1995 1305.17 Dec 31, 1996 1385.22 Dec 31, 1997 1443.83 Dec 31, 1998 1444.66 Dec 31, 1999 1397.46 Dec 31, 2000 1476.22 Dec 31, 2001 1575.75 Dec 31, 2002 1524.3 Dec 31, 2003 1495.65 Dec 31, 2004 1373.22 Dec 31, 2005 1398.74 Dec 31, 2006 1420.04 Dec 31, 2007 1358.04 Dec 31, 2008 1418.57 Dec 31, 2009 1328.55 Dec 31, 2010 1282.89 Dec 31, 2011 1381.11 Dec 31, 2012 1339.17 Dec 31, 2013 1257.4 Dec 31, 2014 1323.27 Dec 31, 2015 1301.66 Dec 31, 2016 1225.64 Dec 31, 2017 1311.32 Dec 31, 2018 1239.25

Vega-Lite specification:
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