delen/vistext huggingface dataset:
Chart description: As time passed, the number of Twitter followers of the Phoenix Suns consistently increased, but in 2018, the number of Twitter followers stopped increasing very much for a year, and in 2020, the Twitter follower count decreased for the first time during this graph's range of 2014 to 2020.

Chart data: Month Twitter followers Aug 31, 2012 0.14 Jan 31, 2013 0.16 Aug 31, 2013 0.21 Feb 28, 2014 0.26 Aug 31, 2014 0.32 Feb 28, 2015 0.4 Aug 31, 2015 0.45 Feb 29, 2016 0.49 Aug 31, 2016 0.57 Feb 28, 2017 0.71 Aug 31, 2017 0.9 Feb 28, 2018 0.99 Aug 31, 2018 0.99 Feb 28, 2019 0.99 Aug 31, 2019 1.1 Feb 29, 2020 1.12 Aug 31, 2020 1.1

Vega-Lite specification:
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Chart description: There are two parties which seem to have dominated the election. There were five parties which receved comparatively few votes. Five further parties received substantialy more votes, but did not approach the two major parties. The Social Democrats won quite easily, but may have had more difficulty if some of the smaller parties and individuals did not run and gave their votes to the Liberals.

Chart data: political party 2019 Socialdemokratie  0.259; political party: Socialdemokratiet Venstre, Danmarks Liberale Part  0.234; political party: Venstre, Danmarks Liberale Parti Dansk Folkepart  0.087; political party: Dansk Folkeparti Radikale Venstr  0.086; political party: Radikale Venstre SF - Socialistisk Folkepart  0.077; political party: SF - Socialistisk Folkeparti Enhedslisten - De Rød-Grønn  0.069; political party: Enhedslisten - De Rød-Grønne Det Konservative Folkepart  0.066; political party: Det Konservative Folkeparti Alternative  0.03; political party: Alternativet Nye Borgerlig  0.024; political party: Nye Borgerlige Liberal Allianc  0.023; political party: Liberal Alliance Stram Kur  0.018; political party: Stram Kurs Kristendemokratern  0.017; political party: Kristendemokraterne Klaus Riskær Pederse  0.008; political party: Klaus Riskær Pedersen

Vega-Lite specification:
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Chart description: Prices in 2018 are still lower than what they were in 2011.

Chart data: Year Actual figures Dec 31, 2009 227 Dec 31, 2010 339 Dec 31, 2011 292 Dec 31, 2012 280 Dec 31, 2013 181 Dec 31, 2014 110 Dec 31, 2015 80 Dec 31, 2016 94 Dec 31, 2017 109 Dec 31, 2018 179 Dec 31, 2019 0 Dec 31, 2020 0 Dec 31, 2021 0 Dec 31, 2022 0 Dec 31, 2023 0 Dec 31, 2024 0

Vega-Lite specification:
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Chart description: The drop in figures between the mid 90s and the year 2000 would suggest that a number of newer vehicles were introduced (or older ones phased out) at this time. The average heads back up again until the mid 2000s, at which point, the average age leaps up – suggesting a loss, or less investment in newer vehicles. The figures suggest the introduction of newer vehicles and phasing out of older ones happens in approximate 5 year cycles, however, in the years around 2010, the figures start to vary wildly – as if upgrading vehicles is suddenly dealt with on a more regular (annual?) basis.

Chart data: Year Mid-size transit bus Dec 31, 1989 6.6 Dec 31, 1994 6.8 Dec 31, 1999 5.6 Dec 31, 2004 5.8 Dec 31, 2005 6.2 Dec 31, 2006 6.5 Dec 31, 2007 6.7 Dec 31, 2008 6.2 Dec 31, 2009 7 Dec 31, 2010 6 Dec 31, 2011 6.4

Vega-Lite specification:
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Chart description: The general age pattern of Mid-Sized transit buses has stayed above 6 for the majority of the data given, staying above 6 until the turn of the millennia when the average age dropped by a year for around half of the decade before returning the the aforementioned 6 year average.

Chart data: Year Mid-size transit bus Dec 31, 1989 6.6 Dec 31, 1994 6.8 Dec 31, 1999 5.6 Dec 31, 2004 5.8 Dec 31, 2005 6.2 Dec 31, 2006 6.5 Dec 31, 2007 6.7 Dec 31, 2008 6.2 Dec 31, 2009 7 Dec 31, 2010 6 Dec 31, 2011 6.4

Vega-Lite specification:
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Chart description: Overall, there is an increasing trend in the average age of US urban transit bus vehicles from 1990 to 2012. The lowest average age is just under 4 years in 1990. The greatest average age is roughly 2.2 - 2.4 years in what appears to be 2008. The average age increases slowly yet consistently from 1990 to 2005. From 2005 to 2012, the average age moves a lot more volatilely. The average age from 2005 - 2012 is considerably higher than the previous period. There is a sudden drop in average price in 2010 back down to roughly 4 years.

Chart data: Year Small transit bus Dec 31, 1989 3.9 Dec 31, 1994 4 Dec 31, 1999 4.1 Dec 31, 2004 4.1 Dec 31, 2005 4.3 Dec 31, 2006 4.3 Dec 31, 2007 4.4 Dec 31, 2008 4.3 Dec 31, 2009 4 Dec 31, 2010 4.2 Dec 31, 2011 4.3

Vega-Lite specification:
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Chart description: The average age of U.S. urban transit bus vehicles had remained largely unchanged from 1990 to 2005 where they have always been roughly 4 years old as an average figure. The age increased by about half a year from 2005 to about 2008, then the age dropped down to 4 years by 2010. The average age gradually increased from 2010 onwards by about half a year.

Chart data: Year Small transit bus Dec 31, 1989 3.9 Dec 31, 1994 4 Dec 31, 1999 4.1 Dec 31, 2004 4.1 Dec 31, 2005 4.3 Dec 31, 2006 4.3 Dec 31, 2007 4.4 Dec 31, 2008 4.3 Dec 31, 2009 4 Dec 31, 2010 4.2 Dec 31, 2011 4.3

Vega-Lite specification:
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Chart description: The number of busses steadily increased from1990 and  peaked in 2000. It then dropped quickly reading its lowest point between 2005 and 2010.

Chart data: Year Trolley bus Dec 31, 1989 10.9 Dec 31, 1994 13.1 Dec 31, 1999 16.4 Dec 31, 2004 9.4 Dec 31, 2005 9 Dec 31, 2006 8.5 Dec 31, 2007 9 Dec 31, 2008 9.4 Dec 31, 2009 10.4 Dec 31, 2010 11.4 Dec 31, 2011 12.4

Vega-Lite specification:
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Chart description: The year of 2014 had the lowest number of car, van or truck fatalities in the Netherlands from 2009 to 2019.

Chart data: Year Cars Dec 31, 2008 296 Dec 31, 2009 246 Dec 31, 2010 231 Dec 31, 2011 232 Dec 31, 2012 193 Dec 31, 2013 187 Dec 31, 2014 224 Dec 31, 2015 231 Dec 31, 2016 201 Dec 31, 2017 233 Dec 31, 2018 237

Vega-Lite specification:
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Chart description: in 2014 the amount of  cars and vans fall to a low but goes back up in 2016.

Chart data: Year Vans and trucks Dec 31, 2008 28 Dec 31, 2009 27 Dec 31, 2010 22 Dec 31, 2011 19 Dec 31, 2012 22 Dec 31, 2013 15 Dec 31, 2014 19 Dec 31, 2015 29 Dec 31, 2016 25 Dec 31, 2017 26 Dec 31, 2018 28

Vega-Lite specification:
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Chart description: Net Sales worldwide drastically dropped for Brunswick in 2009.

Chart data: Year Boat Dec 31, 2007 1719.5 Dec 31, 2008 615.7 Dec 31, 2009 916.5 Dec 31, 2010 1007.6 Dec 31, 2011 1002.6 Dec 31, 2012 1032 Dec 31, 2013 1135.8 Dec 31, 2014 1274.6 Dec 31, 2015 963.7 Dec 31, 2016 1103 Dec 31, 2017 1471.3 Dec 31, 2018 1333.8

Vega-Lite specification:
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Chart description: The general trend shows that women have increased the number of hours they work from 2000 to 2019.

Chart data: Year Women Dec 31, 1999 330.6 Dec 31, 2000 336.7 Dec 31, 2001 339.6 Dec 31, 2002 341 Dec 31, 2003 344.8 Dec 31, 2004 353.2 Dec 31, 2005 357.4 Dec 31, 2006 359 Dec 31, 2007 363.2 Dec 31, 2008 358 Dec 31, 2009 359 Dec 31, 2010 360 Dec 31, 2011 367.4 Dec 31, 2012 376.4 Dec 31, 2013 388.7 Dec 31, 2014 394.7 Dec 31, 2015 400.9 Dec 31, 2016 408.6 Dec 31, 2017 414 Dec 31, 2018 425.1

Vega-Lite specification:
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Chart description: The number of people aged 0-14 has been steadily growing from 2010-2018.

Chart data: Year 0-14 years Dec 31, 2008 0.2739 Dec 31, 2009 0.2728 Dec 31, 2010 0.2747 Dec 31, 2011 0.2767 Dec 31, 2012 0.2792 Dec 31, 2013 0.2826 Dec 31, 2014 0.2871 Dec 31, 2015 0.2913 Dec 31, 2016 0.2964 Dec 31, 2017 0.3015 Dec 31, 2018 0.3055

Vega-Lite specification:
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Chart description: During 2014 the consumer healthcare dropped to 500 this has significantly increased in 2019 as it is just below 2000. It has been gradually increasing to 2000 since the lowest point in 2014.

Chart data: Year Consumer Healthcare 2019 1874 2018 1517 2017 1373 2016** 1116 2015** 684 2014** 491 2013 829 2012 908 2011 1084 2010 1044 2009 930 2008 881 2007 805 2006 810

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Chart description: Shows significant growth from 2012 to 2018 from around 0.25 up to 3 million followers. Number of followers have peaked at 3.5 million in 2020 before starting to slowly decrease.

Chart data: Month Twitter followers Jul 31, 2012 0.21 Jan 31, 2013 0.26 Jul 31, 2013 0.31 Jan 31, 2014 0.42 Jul 31, 2014 0.48 Jan 31, 2015 0.66 Jul 31, 2015 0.81 Jan 31, 2016 0.98 Jul 31, 2016 1.2 Jan 31, 2017 1.51 Jul 31, 2017 2.18 Jan 31, 2018 3.11 Jul 31, 2018 3.25 Jan 31, 2019 3.41 Jul 31, 2019 3.4 Jan 31, 2020 3.5 Jul 31, 2020 3.4

Vega-Lite specification:
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Chart description: There were less than 500,000 Facebook fans/twitter followers of the Philadelphia Eagles in 2012 which rose to 3.5 million in 2020. From 2012 to 2018 there has been a rapid increase in Facebook fans/twitter followers from under 500,000 to just over 3 million. 2018 to 2020 showed a much slower increase in Facebook fans/Instagram followers rising less than 500,000 from just above 3 million to 3.5 million.

Chart data: Month Twitter followers Jul 31, 2012 0.21 Jan 31, 2013 0.26 Jul 31, 2013 0.31 Jan 31, 2014 0.42 Jul 31, 2014 0.48 Jan 31, 2015 0.66 Jul 31, 2015 0.81 Jan 31, 2016 0.98 Jul 31, 2016 1.2 Jan 31, 2017 1.51 Jul 31, 2017 2.18 Jan 31, 2018 3.11 Jul 31, 2018 3.25 Jan 31, 2019 3.41 Jul 31, 2019 3.4 Jan 31, 2020 3.5 Jul 31, 2020 3.4

Vega-Lite specification:
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Chart description: share remains between 0.3 and 0.4 except in 2015 where it drops to around 0.25.

Chart data: Year Industry Dec 31, 2008 0.3429 Dec 31, 2009 0.3517 Dec 31, 2010 0.3511 Dec 31, 2011 0.3526 Dec 31, 2012 0.3225 Dec 31, 2013 0.3009 Dec 31, 2014 0.2526 Dec 31, 2015 0.2922 Dec 31, 2016 0.3366 Dec 31, 2017 0.3251 Dec 31, 2018 0.3274

Vega-Lite specification:
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Chart description: From 2012 and 2015 the number of Facebook fans and Twitter followers for the Miami dolphins increased steadily. In 2012 the number of Facebook fans and Twitter followers were at its lowest with 1.3 million fans. In 2015 the number of Facebook fans and Twitter followers reached 2.2 million fans. The number of Facebook fans and Twitter followers remained relatively constant between 2015 and 2021 with between 2.1 and 2.3 million Facebook fans and Twitter followers. The most amount of Facebook fans and Twitter followers occurred in 2019 with 2.3 million Facebook fans and Twitter followers.

Chart data: Month Facebook fans Jul 31, 2012 1.24 Jan 31, 2013 1.3 Jul 31, 2013 1.34 Jan 31, 2014 1.55 Jul 31, 2014 1.84 Jan 31, 2015 2.12 Jul 31, 2015 2.07 Jan 31, 2016 2.13 Jul 31, 2016 2.17 Jan 31, 2017 2.19 Jul 31, 2017 2.19 Jan 31, 2018 2.19 Jul 31, 2018 2.19 Jan 31, 2019 2.27 Jul 31, 2019 2.26 Jan 31, 2020 2.24 Jul 31, 2020 2.23

Vega-Lite specification:
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Chart description: Big growth between 2014 and 2016. 2016 to 2020 was a steady growth.

Chart data: Month Facebook fans Jul 31, 2012 1.24 Jan 31, 2013 1.3 Jul 31, 2013 1.34 Jan 31, 2014 1.55 Jul 31, 2014 1.84 Jan 31, 2015 2.12 Jul 31, 2015 2.07 Jan 31, 2016 2.13 Jul 31, 2016 2.17 Jan 31, 2017 2.19 Jul 31, 2017 2.19 Jan 31, 2018 2.19 Jul 31, 2018 2.19 Jan 31, 2019 2.27 Jul 31, 2019 2.26 Jan 31, 2020 2.24 Jul 31, 2020 2.23

Vega-Lite specification:
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Chart description: from studying this bar chart, I can see that Hinduism and Islam has the highest percentage of men with unaffiliated being third in place. it seems Jehovahs whiteness is lowest in percentage of men.

Chart data: faith tradition Men Hindu 0.66 Muslim 0.59 Unaffiliated 0.55 Orthodox Christian 0.5 Buddhist 0.5 Mormon 0.48 Jewish 0.48 Hispanic Protestant 0.47 White Catholic 0.47 White mainline Protestant 0.46 Hispanic Catholic 0.45 White evangelical Protestant 0.44 Black Protestant 0.42 Jehovah’s Witness 0.37 Unitarian/Universalist 0.36

Vega-Lite specification:
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Chart description: Digestive disease is the lowest cause if death on the bar chart that shows Maternal mortality rate in Argentina in 2017.

Chart data: cause of death Indirect obstetric causes Respiratory disease 0.2 Cardiovascular disease 0.2 Digestive disease 0 VIH/AIDS 0 Other indirect obstetric causes 0.3

Vega-Lite specification:
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Chart description: There seems to be fluctuations on responses over the years. Often there is a drop in responses to people wanting the laws to be less strict and this then increases again.

Chart data: Response Less strict Dec 31, 1989 0.02 Dec 31, 1990 0.05 Dec 31, 1992 0.07 Dec 31, 1994 0.12 Dec 31, 1998 0.1 Dec 31, 1999 0.05 Dec 31, 2000 0.08 Dec 31, 2001 0.11 Dec 31, 2002 0.09 Dec 31, 2003 0.06 Dec 31, 2004 0.07 Dec 31, 2005 0.09 Dec 31, 2006 0.08 Dec 31, 2007 0.08 Dec 31, 2008 0.12 Dec 31, 2009 0.12 Dec 31, 2010 0.11 Dec 31, 2011 0.06 Dec 31, 2012 0.13 Dec 31, 2013 0.14 Dec 31, 2014 0.11 Dec 31, 2015 0.1 Dec 31, 2016 0.05 Dec 31, 2017 0.08 Dec 31, 2018 0.07 Dec 31, 2019 0.09

Vega-Lite specification:
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Chart description: Statistically, the amount of people who feel that gun laws should remain the same has increased between 1990 to 2015. In 2011, approximately 0.45 people felt that gun laws should remain the same, this is the highest point at which people felt gun laws should remain the same. There was a significant drop in people who felt gun laws should remain the same between 2011 and 2015.

Chart data: Response Kept as now Dec 31, 1989 0.17 Dec 31, 1990 0.25 Dec 31, 1992 0.25 Dec 31, 1994 0.24 Dec 31, 1998 0.29 Dec 31, 1999 0.31 Dec 31, 2000 0.38 Dec 31, 2001 0.36 Dec 31, 2002 0.36 Dec 31, 2003 0.34 Dec 31, 2004 0.35 Dec 31, 2005 0.33 Dec 31, 2006 0.39 Dec 31, 2007 0.41 Dec 31, 2008 0.43 Dec 31, 2009 0.42 Dec 31, 2010 0.44 Dec 31, 2011 0.34 Dec 31, 2012 0.37 Dec 31, 2013 0.38 Dec 31, 2014 0.33 Dec 31, 2015 0.34 Dec 31, 2016 0.33 Dec 31, 2017 0.3 Dec 31, 2018 0.29 Dec 31, 2019 0.34

Vega-Lite specification:
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Chart description: Information and communication and Accommodation and food services have the largest share of business using social media. Construction and Transport and storage have the least shares.

Chart data: industry sector 2015 Information and communicatio  0.769; industry sector: Information and communication Accommodation and food service  0.75; industry sector: Accommodation and food services Other service  0.584; industry sector: Other services Retai  0.562; industry sector: Retail Al  0.565; industry sector: All Wholesal  0.543; industry sector: Wholesale Utilitie  0.5; industry sector: Utilities Manufacturin  0.458; industry sector: Manufacturing Constructio  0.361; industry sector: Construction Transport and storag  0.354; industry sector: Transport and storage

Vega-Lite specification:
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Chart description: The industry with the lowest utilisation of social media is construction. The industry with the highest utilisation of social media is Accommodation. The top 4 highest users of social media are industry sectors who need to either communicate to customers, or bring them into shops/other locations.

Chart data: industry sector 2018 Information and communicatio  0.815; industry sector: Information and communication Accommodation and food service  0.859; industry sector: Accommodation and food services Other service  0.672; industry sector: Other services Retai  0.737; industry sector: Retail Al  0.684; industry sector: All Wholesal  0.666; industry sector: Wholesale Utilitie  0.557; industry sector: Utilities Manufacturin  0.617; industry sector: Manufacturing Constructio  0.443; industry sector: Construction Transport and storag  0.568; industry sector: Transport and storage

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