delen/vistext huggingface dataset:
Chart description: Barclays Bank has by far received the most complaints, exceeding Lloyds and Bank of Scotland by around 300,000 all the other companies have around the same number of complaints.

Chart data: Complaints opened company 800755 Barclays Bank UK Plc 509900 Lloyds Bank PLC 464460 Bank of Scotland plc 332699 MBNA Limited 185172 HSBC UK Bank Plc 147326 National Westminster Bank Plc 147276 Santander Cards UK Limited 130554 Aviva Insurance Limited 100618 British Gas Services Limited 99785 Black Horse Limited 93332 Carphone Warehouse Ltd, The 91455 Capital One (Europe) plc 86814 Clydesdale Bank Plc 86273 Canada Square Operations Limited

Vega-Lite specification:
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Chart description: The graph indicates a sharp decline in revenue for the duration of 3 years followed by exponential growth year on year after 2014.

Chart data: Year Italy Dec 31, 2009 36 Dec 31, 2010 37 Dec 31, 2011 34 Dec 31, 2012 32 Dec 31, 2013 32 Dec 31, 2014 35 Dec 31, 2015 37 Dec 31, 2016 38 Dec 31, 2017 42 Dec 31, 2018 45

Vega-Lite specification:
{"config": {"range": {"category": ["#393b79", "#5254a3", "#6b6ecf", "#9c9ede", "#637939", "#8ca252", "#b5cf6b", "#cedb9c", "#8c6d31", "#bd9e39", "#e7ba52", "#e7cb94", "#843c39", "#ad494a", "#d6616b", "#e7969c", "#7b4173", "#a55194", "#ce6dbd", "#de9ed6"]}}, "data": {"url": "multiColumn/data/6021.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ad494a"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "Italy"}, "field": "Italy"}}, "title": ["Revenue of the Italian winery Compagnia", "de ' Frescobaldi between 2010 and 2019 ,", "by geographical area (in million euros)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The value of utility-scale drops each year from 2017 to 2024. The largest year on year drop in utility-scale is from 2017 to 2018. Utility-scale value does not change from 2015 to 2017.

Chart data: Utility-scale Year 0.34 2024* 0.37 2023* 0.42 2022* 0.47 2021* 0.57 2020* 0.66 2019* 0.73 2018* 0.84 2017* 0.84 2016 0.84 2015

Vega-Lite specification:
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Chart description: Many people think that the tax paid is too high in the last 20 years, however, the amount of people thinking that it was too high has dropped slightly since an all time high in 2000.

Chart data: Year Too high Dec 31, 1999 0.63 Dec 31, 2000 0.65 Dec 31, 2002 0.5 Dec 31, 2003 0.5 Dec 31, 2004 0.51 Dec 31, 2005 0.48 Dec 31, 2006 0.53 Dec 31, 2007 0.52 Dec 31, 2008 0.46 Dec 31, 2009 0.48 Dec 31, 2010 0.5 Dec 31, 2011 0.46 Dec 31, 2012 0.5 Dec 31, 2013 0.52 Dec 31, 2014 0.51 Dec 31, 2015 0.57 Dec 31, 2016 0.51 Dec 31, 2017 0.45 Dec 31, 2018 0.45 Dec 31, 2019 0.46

Vega-Lite specification:
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Chart description: The majority felt that the federal income tax was too high, this opinion increased over the years.

Chart data: Year About right Dec 31, 1999 0.33 Dec 31, 2000 0.31 Dec 31, 2002 0.46 Dec 31, 2003 0.43 Dec 31, 2004 0.44 Dec 31, 2005 0.44 Dec 31, 2006 0.41 Dec 31, 2007 0.42 Dec 31, 2008 0.48 Dec 31, 2009 0.45 Dec 31, 2010 0.43 Dec 31, 2011 0.47 Dec 31, 2012 0.45 Dec 31, 2013 0.42 Dec 31, 2014 0.42 Dec 31, 2015 0.37 Dec 31, 2016 0.42 Dec 31, 2017 0.48 Dec 31, 2018 0.48 Dec 31, 2019 0.48

Vega-Lite specification:
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Chart description: In 2010 seems that people from USA were least concerned about extinction of plants and animals.

Chart data: Response Great deal Dec 31, 1999 0.45 Dec 31, 2000 0.43 Dec 31, 2001 0.35 Dec 31, 2002 0.34 Dec 31, 2003 0.36 Dec 31, 2005 0.34 Dec 31, 2006 0.39 Dec 31, 2007 0.37 Dec 31, 2008 0.37 Dec 31, 2009 0.31 Dec 31, 2010 0.34 Dec 31, 2011 0.36

Vega-Lite specification:
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Chart description: there has been a general decrease in Public concern about the extinction of plant and animal species in the US between 2000 and 2012. However, there have been some increases too, most notably between 2006 and 2007.

Chart data: Response Great deal Dec 31, 1999 0.45 Dec 31, 2000 0.43 Dec 31, 2001 0.35 Dec 31, 2002 0.34 Dec 31, 2003 0.36 Dec 31, 2005 0.34 Dec 31, 2006 0.39 Dec 31, 2007 0.37 Dec 31, 2008 0.37 Dec 31, 2009 0.31 Dec 31, 2010 0.34 Dec 31, 2011 0.36

Vega-Lite specification:
{"config": {"background": "#000", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#7fc97f", "#beaed4", "#fdc086", "#ffff99", "#386cb0", "#f0027f", "#bf5b17", "#666666"]}}, "data": {"url": "multiColumn/data/6039.tsv"}, "mark": "line", "encoding": {"color": {"value": "#beaed4"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Great deal"}, "field": "Great deal"}}, "title": ["Public concern about the extinction of plant", "and animal species in the United States from", "2000 to 2012"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: From this bar graph most people do not buy toys. Most people interviewed spend money on clothing and footwear as this is the category that they said they did not buy least.

Chart data: Response Do not buy this category Clothing and footwear 0.02 Consumer electronics and computers 0.04 Books, music, movies, video games 0.05 Grocery 0.05 Household appliances 0.06 Furniture and homeware 0.07 Home improvement 0.13 Health and beauty 0.15 Jewellery 0.21 Sports equipment 0.27 Toys 0.32

Vega-Lite specification:
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Chart description: The two most common types of purchases made online via mobile or smartphone, are shown as "books, music, movies, video games" and equally "hair and beauty". The least common shown equally are "consumer electronics..", furniture and homewear", and "household appliances".

Chart data: Online via mobile or smartphone Response 0.02 Clothing and footwear 0.01 Consumer electronics and computers 0.03 Books, music, movies, video games 0.02 Grocery 0.01 Household appliances 0.01 Furniture and homeware 0.02 Home improvement 0.03 Health and beauty 0.02 Jewellery 0.02 Sports equipment 0.02 Toys

Vega-Lite specification:
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Chart description: This chart shows the greatest percentage of purchases bought online is the sector of books music and games at 0.6 followed by consumer electronics at 0.45 and then household appliances at ,039, all other sectors at a growth of 0.2 to 0.3.

Chart data: Online via PC Response 0.29 Clothing and footwear 0.45 Consumer electronics and computers 0.61 Books, music, movies, video games 0.21 Grocery 0.39 Household appliances 0.26 Furniture and homeware 0.22 Home improvement 0.22 Health and beauty 0.21 Jewellery 0.25 Sports equipment 0.27 Toys

Vega-Lite specification:
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Chart description: Ford is the best selling van 2015French manufacturers have a greater percentage of the market than Germany.

Chart data: 2015 Vehicle brand 68741 Ford 30026 VW 22381 Peugeot 19613 Vauxhall 17710 Renault 14959 Mercedes 13775 Citroen 8634 Nissan 7659 Toyota 5580 Fiat 2677 Mitsubishi 2077 Land Rover 319 Others 1918 Iveco

Vega-Lite specification:
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Chart description: Most people seem content with the amount of euro coins. They were most happy in November 2011 and at it's lowest in November 2004.

Chart data: Just the right number Response 0.63 Oct '19 0.63 Oct '18 0.6 Oct '17 0.63 Oct '16 0.64 Oct '15 0.63 Oct '14 0.63 Oct '13 0.66 Oct '12 0.68 Nov '11 0.63 Sep '10 0.62 Sep '09 0.64 Sep '08 0.62 Sep '07 0.58 Sep '06 0.58 Oct '05 0.53 Nov '04 0.56 Nov '03

Vega-Lite specification:
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Chart description: I think that there are just enough euro coins with different values.

Chart data: Just the right number Response 0.63 Oct '19 0.63 Oct '18 0.6 Oct '17 0.63 Oct '16 0.64 Oct '15 0.63 Oct '14 0.63 Oct '13 0.66 Oct '12 0.68 Nov '11 0.63 Sep '10 0.62 Sep '09 0.64 Sep '08 0.62 Sep '07 0.58 Sep '06 0.58 Oct '05 0.53 Nov '04 0.56 Nov '03

Vega-Lite specification:
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Chart description: May of 2017 was the month with the biggest value  of  cleaning import productsIn 2017  the value of imported cleaning products in Canada,every single month, was at least 500 million Canadian dollars.

Chart data: Month 2017 De  540.1; Month: Dec No  555.9; Month: Nov Oc  554.6; Month: Oct Se  535.7; Month: Sep Au  520.7; Month: Aug Ju  555.7; Month: Jul Ju  555.4; Month: Jun Ma  572.9; Month: May Ap  547.5; Month: Apr Ma  521.2; Month: Mar Fe  532.7; Month: Feb Ja  545.2; Month: Jan

Vega-Lite specification:
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Chart description: The rate of full parole from federal prisons in Canada has increased from over 0.2 in 2005-2006 to just under 0.4 in 2018-2019.

Chart data: Full parole Year 0.382 2018-2019 0.375 2017-2018 0.351 2016-2017 0.337 2015-2016 0.304 2014-2015 0.3 2013-2014 0.289 2012-2013 0.228 2011-2012 0.166 2010-2011 0.185 2009-2010 0.206 2008-2009 0.205 2007-2008 0.21 2006-2007 0.223 2005-2006

Vega-Lite specification:
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Chart description: Between 2001 and 2012 the UKs serious water pollution incidents decreased by more than half. This started to rise again in 2013 and settled around the 40 mark by 2016.

Chart data: Year Catergory 1 Dec 31, 2000 98 Dec 31, 2001 76 Dec 31, 2002 83 Dec 31, 2003 83 Dec 31, 2004 73 Dec 31, 2005 75 Dec 31, 2006 56 Dec 31, 2007 59 Dec 31, 2008 66 Dec 31, 2009 43 Dec 31, 2010 41 Dec 31, 2011 41 Dec 31, 2012 43 Dec 31, 2013 53 Dec 31, 2014 51 Dec 31, 2015 51

Vega-Lite specification:
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Chart description: Overall, as the years have increased, the amount of people who believe immigration should increase has been increasing, however, in 2009 and 2016, there were major decreases in the amount of people who agree.

Chart data: Response Increased Dec 31, 2005 0.17 Dec 31, 2006 0.16 Dec 31, 2007 0.18 Dec 31, 2008 0.14 Dec 31, 2009 0.17 Dec 31, 2010 0.18 Dec 31, 2011 0.21 Dec 31, 2012 0.23 Dec 31, 2013 0.22 Dec 31, 2014 0.25 Dec 31, 2015 0.21 Dec 31, 2016 0.24 Dec 31, 2017 0.28 Dec 31, 2018 0.27

Vega-Lite specification:
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Chart description: The bar chart shows a consistent scoring throughout the years 2004 to 2016, with above 0.8 students achieving an A*-G, with the exception of 2010 - 2012 achieving slightly higher.

Chart data: 5+ GCSEs A*-G or equivalent Year 0.859 2015/16 0.857 2014/15 0.852 2013/14* 0.905 2012/13 0.925 2011/12 0.922 2010/11 0.887 2009/10 0.883 2008/09 0.874 2007/08 0.871 2006/07 0.874 2005/06 0.876 2004/05

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Chart description: The most popular choice to manage weight in the next year is being more active, closely followed by spending more time exercising. Eating more slowly and attentively is going to be followed the least.

Chart data: Very likely Response 0.37 Being more active throughout the day 0.36 Spend more time exercising 0.33 Eating smaller portions of what you eat now 0.32 Limiting specific types of food or food types 0.26 Eating snacks less frequently 0.28 Eating smaller, more frequent meals or snacks 0.27 Tracking and increasing the amount of time you are physically active 0.27 Limit the number of calories in the food you eat 0.22 Eating more slowly and attentively 0.31 Eating out less often

Vega-Lite specification:
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Chart description: It is most likely that people will use activity to manage weight. People were least likely to use eating more slowly and eating out less often to manage weight.

Chart data: Response Not too likely Being more active throughout the day 0.13 Spend more time exercising 0.18 Eating smaller portions of what you eat now 0.18 Limiting specific types of food or food types 0.19 Eating snacks less frequently 0.22 Eating smaller, more frequent meals or snacks 0.24 Tracking and increasing the amount of time you are physically active 0.19 Limit the number of calories in the food you eat 0.22 Eating more slowly and attentively 0.25 Eating out less often 0.25

Vega-Lite specification:
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Chart description: The least likely responses are eating more slowly and eating out less often, both at 0.25. The most likely response is being more active through the day, at 0.13. There are 10 response categories.

Chart data: Response Not too likely Being more active throughout the day 0.13 Spend more time exercising 0.18 Eating smaller portions of what you eat now 0.18 Limiting specific types of food or food types 0.19 Eating snacks less frequently 0.22 Eating smaller, more frequent meals or snacks 0.24 Tracking and increasing the amount of time you are physically active 0.19 Limit the number of calories in the food you eat 0.22 Eating more slowly and attentively 0.25 Eating out less often 0.25

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Chart description: The amount of Facebook fans increased between 2014 and 2016 the fans have then been stable untill 2020 where a small stop can be seen.

Chart data: Month Facebook fans Aug 31, 2012 1.56 Jan 31, 2013 1.73 Aug 31, 2013 1.84 Feb 28, 2014 2.27 Aug 31, 2014 2.47 Feb 28, 2015 2.57 Aug 31, 2015 2.63 Feb 29, 2016 2.71 Aug 31, 2016 2.76 Feb 28, 2017 2.76 Aug 31, 2017 2.76 Feb 28, 2018 2.76 Aug 31, 2018 2.76 Feb 28, 2019 2.76 Aug 31, 2019 2.75 Feb 29, 2020 2.72 Aug 31, 2020 2.7

Vega-Lite specification:
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Chart description: The number of Facebook fans increased steadily from 2012 to mid 2016, when it platoed. There has been a slight decline from mid 2019. The lowest number of fans was in 2012 with just over 1.5 million. It peaked at around 2.75 million mid 2016 and remained steady until mid 2019.

Chart data: Month Facebook fans Aug 31, 2012 1.56 Jan 31, 2013 1.73 Aug 31, 2013 1.84 Feb 28, 2014 2.27 Aug 31, 2014 2.47 Feb 28, 2015 2.57 Aug 31, 2015 2.63 Feb 29, 2016 2.71 Aug 31, 2016 2.76 Feb 28, 2017 2.76 Aug 31, 2017 2.76 Feb 28, 2018 2.76 Aug 31, 2018 2.76 Feb 28, 2019 2.76 Aug 31, 2019 2.75 Feb 29, 2020 2.72 Aug 31, 2020 2.7

Vega-Lite specification:
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Chart description: In 20212 there are about 0.7 million Facebook fans. Then there is a slight increase until 2013 to about 0.8 and a massive increase to 2.0 in 2015. It stayed the same for a few months but then it started to increase slightly up to 2.25 in 2017 and stay at that level until 2020.

Chart data: Month Facebook fans Jul 31, 2012 0.66 Jan 31, 2013 0.83 Jul 31, 2013 0.88 Jan 31, 2014 1.24 Jul 31, 2014 1.69 Jan 31, 2015 2.01 Jul 31, 2015 1.99 Jan 31, 2016 2.08 Jul 31, 2016 2.14 Jan 31, 2017 2.17 Jul 31, 2017 2.17 Jan 31, 2018 2.17 Jul 31, 2018 2.17 Jan 31, 2019 2.19 Jul 31, 2019 2.18 Jan 31, 2020 2.17 Jul 31, 2020 2.16

Vega-Lite specification:
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Chart description: In 2018, the rate of the increase of the number of twitter followers went down. The number of twitter followers start to go down in around 2020.

Chart data: Month Twitter followers Jul 31, 2012 0.13 Jan 31, 2013 0.21 Jul 31, 2013 0.27 Jan 31, 2014 0.35 Jul 31, 2014 0.39 Jan 31, 2015 0.53 Jul 31, 2015 0.65 Jan 31, 2016 0.81 Jul 31, 2016 1.01 Jan 31, 2017 1.34 Jul 31, 2017 1.54 Jan 31, 2018 1.8 Jul 31, 2018 1.82 Jan 31, 2019 1.85 Jul 31, 2019 1.9 Jan 31, 2020 1.93 Jul 31, 2020 1.9

Vega-Lite specification:
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Chart description: The significant increase in users has now begun to flatten in terms of a data curve,  indeed it now is decreasing.

Chart data: Month Twitter followers Jul 31, 2012 0.13 Jan 31, 2013 0.21 Jul 31, 2013 0.27 Jan 31, 2014 0.35 Jul 31, 2014 0.39 Jan 31, 2015 0.53 Jul 31, 2015 0.65 Jan 31, 2016 0.81 Jul 31, 2016 1.01 Jan 31, 2017 1.34 Jul 31, 2017 1.54 Jan 31, 2018 1.8 Jul 31, 2018 1.82 Jan 31, 2019 1.85 Jul 31, 2019 1.9 Jan 31, 2020 1.93 Jul 31, 2020 1.9

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Chart description: the time where most families had a father only was in around 2002-2005, and then it appears to decrease again slightly.

Chart data: Family structure Father Only Dec 31, 1979 0.02 Dec 31, 1980 0.02 Dec 31, 1981 0.02 Dec 31, 1982 0.02 Dec 31, 1983 0.02 Dec 31, 1984 0.02 Dec 31, 1985 0.03 Dec 31, 1986 0.03 Dec 31, 1987 0.03 Dec 31, 1988 0.03 Dec 31, 1989 0.03 Dec 31, 1990 0.03 Dec 31, 1991 0.03 Dec 31, 1992 0.03 Dec 31, 1993 0.03 Dec 31, 1994 0.04 Dec 31, 1995 0.04 Dec 31, 1996 0.04 Dec 31, 1997 0.04 Dec 31, 1998 0.04 Dec 31, 1999 0.04 Dec 31, 2000 0.04 Dec 31, 2001 0.05 Dec 31, 2002 0.046 Dec 31, 2003 0.046 Dec 31, 2004 0.048 Dec 31, 2005 0.047 Dec 31, 2006 0.032 Dec 31, 2007 0.035 Dec 31, 2008 0.034 Dec 31, 2009 0.034 Dec 31, 2010 0.035 Dec 31, 2011 0.04 Dec 31, 2012 0.041 Dec 31, 2013 0.039 Dec 31, 2014 0.037 Dec 31, 2015 0.041 Dec 31, 2016 0.043 Dec 31, 2017 0.044 Dec 31, 2018 0.044

Vega-Lite specification:
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