delen/vistext huggingface dataset:
Chart description: The revenue consitanlty grows between 2014 and 2024. The Revenue is predicted to be 150 billion spent between 2014 and 2024. 2019 to 2024 have asterixs by the years.

Chart data: Year Revenue 2024* 571.76 2023* 553.49 2022* 536.22 2021* 519.18 2020* 503.69 2019* 487.28 2018 469.54 2017 442.22 2016 422.16 2015 415.74 2014 403.48

Vega-Lite specification:
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Chart description: Spain's government revenue and spending has increased and is predicted to increase every year from 2014 to 2024. In 2024, Spain's government revenue and spending is predicted to be just over 550 billion euros. Spain's government revenue and spending in 2017, 2018, and 2019 increased faster than it did in the previous three years.

Chart data: Year Revenue 2024* 571.76 2023* 553.49 2022* 536.22 2021* 519.18 2020* 503.69 2019* 487.28 2018 469.54 2017 442.22 2016 422.16 2015 415.74 2014 403.48

Vega-Lite specification:
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Chart description: The revenue and spending has been rising since 2016. The revenue and spending is expected to be at a maximum in 2024. The revenue and spending in 2016 is slightly lower than it was in 2015.

Chart data: Year Spending 2024* 599.51 2023* 580.11 2022* 561.98 2021* 544.03 2020* 527.6 2019* 514.19 2018 499.52 2017 478.13 2016 472.16 2015 472.74 2014 465.42

Vega-Lite specification:
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Chart description: The x axis goes up in intervals of 5 years 2001 was the highest point of favourability.

Chart data: Month Unfavorable Jun 30, 1994 0.46 Jun 30, 1995 0.44 May 31, 1996 0.47 May 31, 1997 0.42 Jul 31, 1998 0.35 Jun 30, 1999 0.35 Jul 31, 2000 0.5 Jul 31, 2001 0.44 Aug 31, 2002 0.44 May 31, 2003 0.44 Jun 30, 2004 0.38 Jun 30, 2005 0.43 Jun 30, 2006 0.44 Jun 30, 2007 0.48 Jul 31, 2008 0.43 Sep 30, 2009 0.34 Jun 30, 2010 0.35 Feb 28, 2011 0.31 Apr 30, 2012 0.29

Vega-Lite specification:
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Chart description: There is a sharp decline in her favourability in about 1997, which rises slowly until there is a sharp increase in 2002. There are subsequent peaks like that in 2004 and 2006 but not the the extent of 2002.

Chart data: Month No opinion Jun 30, 1994 0.06 Jun 30, 1995 0.06 May 31, 1996 0.06 May 31, 1997 0.07 Jul 31, 1998 0.05 Jun 30, 1999 0.03 Jul 31, 2000 0.05 Jul 31, 2001 0.05 Aug 31, 2002 0.09 May 31, 2003 0.04 Jun 30, 2004 0.06 Jun 30, 2005 0.04 Jun 30, 2006 0.07 Jun 30, 2007 0.05 Jul 31, 2008 0.03 Sep 30, 2009 0.03 Jun 30, 2010 0.04 Feb 28, 2011 0.03 Apr 30, 2012 0.05

Vega-Lite specification:
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Chart description: The South East of England has the highest house prices. The North East of England has the lowest house prices. Aside from the North East of England, all English house prices are above those of Scotland and Wales.

Chart data: region of the United Kingdom Rural South East 318185 East of England 235876 South West 232630 Great Britain 206423 West Mindlands 231876 Scotland 160374 East Midlands 179692 North West 200997 Wales 154270 Yorkshire and The Humber 175466 North East 137010

Vega-Lite specification:
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Chart description: Over time, the number of followers increases at a rate close to a linear regression line. Between 2018 to 2019, followers are stable.

Chart data: Month Twitter followers Aug 31, 2012 0.09 Jan 31, 2013 0.13 Aug 31, 2013 0.2 Feb 28, 2014 0.25 Aug 31, 2014 0.3 Feb 28, 2015 0.38 Aug 31, 2015 0.44 Feb 29, 2016 0.52 Aug 31, 2016 0.61 Feb 28, 2017 0.72 Aug 31, 2017 0.84 Feb 28, 2018 0.92 Aug 31, 2018 0.92 Feb 28, 2019 0.92 Aug 31, 2019 1 Feb 29, 2020 1.1 Aug 31, 2020 1.1

Vega-Lite specification:
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Chart description: the numbers of followers have been massively increasing over the years.

Chart data: Month Twitter followers Aug 31, 2012 0.09 Jan 31, 2013 0.13 Aug 31, 2013 0.2 Feb 28, 2014 0.25 Aug 31, 2014 0.3 Feb 28, 2015 0.38 Aug 31, 2015 0.44 Feb 29, 2016 0.52 Aug 31, 2016 0.61 Feb 28, 2017 0.72 Aug 31, 2017 0.84 Feb 28, 2018 0.92 Aug 31, 2018 0.92 Feb 28, 2019 0.92 Aug 31, 2019 1 Feb 29, 2020 1.1 Aug 31, 2020 1.1

Vega-Lite specification:
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Chart description: There is a lower value of 0-14yrs in 2018 than 2010. This is a year on year decrease. Unknown what the value on the y axis is.

Chart data: Year 0-14 years Dec 31, 2008 0.1988 Dec 31, 2009 0.1974 Dec 31, 2010 0.1947 Dec 31, 2011 0.1919 Dec 31, 2012 0.1891 Dec 31, 2013 0.186 Dec 31, 2014 0.1828 Dec 31, 2015 0.1795 Dec 31, 2016 0.1764 Dec 31, 2017 0.1734 Dec 31, 2018 0.1705

Vega-Lite specification:
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Chart description: There are no units named for the Y axis, so it is not clear how the age structure is being measured. The value in 2010 stays almost static right through until 2018, with only a very slight downward turn (from ~0.68 in 2010 to ~0.675 in 2018), so slight that on first glance the line looks practically horizontal. Whatever these units of values around 0.68 refer to in terms of the 15-64 age structure (proportion of the total population?), it has not changed much from 2010 to 2018.

Chart data: Year 15-64 years Dec 31, 2008 0.6712 Dec 31, 2009 0.6701 Dec 31, 2010 0.6707 Dec 31, 2011 0.6709 Dec 31, 2012 0.6708 Dec 31, 2013 0.6706 Dec 31, 2014 0.6703 Dec 31, 2015 0.6701 Dec 31, 2016 0.6695 Dec 31, 2017 0.6685 Dec 31, 2018 0.6672

Vega-Lite specification:
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Chart description: The age structure has remained largely the same from 2010 to 2018.

Chart data: Year 15-64 years Dec 31, 2008 0.6712 Dec 31, 2009 0.6701 Dec 31, 2010 0.6707 Dec 31, 2011 0.6709 Dec 31, 2012 0.6708 Dec 31, 2013 0.6706 Dec 31, 2014 0.6703 Dec 31, 2015 0.6701 Dec 31, 2016 0.6695 Dec 31, 2017 0.6685 Dec 31, 2018 0.6672

Vega-Lite specification:
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Chart description: There is a general decline from .3 to 0.15 GDP between 2008 and 2018.

Chart data: Year Agriculture Dec 31, 2007 0.3017 Dec 31, 2008 0.2498 Dec 31, 2009 0.2561 Dec 31, 2010 0.2192 Dec 31, 2011 0.2609 Dec 31, 2012 0.2133 Dec 31, 2013 0.2058 Dec 31, 2014 0.1729 Dec 31, 2015 0.1656 Dec 31, 2016 0.1648 Dec 31, 2017 0.1745

Vega-Lite specification:
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Chart description: Shares have declined, the graph has an overall downwards trendThe x axis is measured in 4 yearly intervals2008 shows the highest level of shares on the graphSince 2015, the level of shares has remained stable.

Chart data: Year Agriculture Dec 31, 2007 0.3017 Dec 31, 2008 0.2498 Dec 31, 2009 0.2561 Dec 31, 2010 0.2192 Dec 31, 2011 0.2609 Dec 31, 2012 0.2133 Dec 31, 2013 0.2058 Dec 31, 2014 0.1729 Dec 31, 2015 0.1656 Dec 31, 2016 0.1648 Dec 31, 2017 0.1745

Vega-Lite specification:
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Chart description: The number of multiple births halved between 1960 and 1970. A small increase was then observed on the decade up to 1980. The next 20 years to 2000 the number of births dropped by half again. An increase follows in the two decades afterwards, with births almost tripling.

Chart data: Year Twin birth Dec 31, 1959 32126 Dec 31, 1969 16562 Dec 31, 1979 17727 Dec 31, 1989 13170 Dec 31, 1999 7870 Dec 31, 2004 10246 Dec 31, 2009 16133 Dec 31, 2010 17235 Dec 31, 2011 19968 Dec 31, 2012 20399 Dec 31, 2013 21926 Dec 31, 2014 22373 Dec 31, 2015 22144 Dec 31, 2016 20044 Dec 31, 2017 19898

Vega-Lite specification:
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Chart description: Between 1960 and 2000, there was a consistent fall in the multiple birth rate, from around 32,000 to 8000. However, since 2000, this has risen again with some small drops to a current rate of around 20,000. Between 1970 and 1980, there was a small rise of around 1-2000.

Chart data: Year Twin birth Dec 31, 1959 32126 Dec 31, 1969 16562 Dec 31, 1979 17727 Dec 31, 1989 13170 Dec 31, 1999 7870 Dec 31, 2004 10246 Dec 31, 2009 16133 Dec 31, 2010 17235 Dec 31, 2011 19968 Dec 31, 2012 20399 Dec 31, 2013 21926 Dec 31, 2014 22373 Dec 31, 2015 22144 Dec 31, 2016 20044 Dec 31, 2017 19898

Vega-Lite specification:
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Chart description: there seemed to be a drop during the year of 2000 before rising and then it dipped again.

Chart data: Year More than triplets Dec 31, 1959 2 Dec 31, 1969 0 Dec 31, 1979 2 Dec 31, 1989 1 Dec 31, 1999 2 Dec 31, 2004 1 Dec 31, 2009 6 Dec 31, 2010 4 Dec 31, 2011 4 Dec 31, 2012 4 Dec 31, 2013 3 Dec 31, 2014 5 Dec 31, 2015 2 Dec 31, 2016 2 Dec 31, 2017 1

Vega-Lite specification:
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Chart description: The country with the most mature mHealth market in 2012 was Denmark, whose technology scored 8. They were closely followed by the United States with a score of around 7.6. The country with the least mature mHealth market in 2012 was India with a score of around 3.5. The remaining countries achieved scores between these countries with no discernable trend to report.

Chart data: Technology Response 6.5 South Africa 3.4 India 4.7 Brazil 7.6 United States 5.1 Spain 4.1 China 6.6 Germany 6.3 United Kingdom 5.1 Turkey 8.1 Denmark

Vega-Lite specification:
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Chart description: India is the most mature mHealth market place, with impact well beyond 8. Five countries have scores above 6: Brazil, China, India, South Africa, and the US. Denmark has the least mature mHealth market, at just above 2. Only 2 countries - Denmark and Germany - have scores below 4.

Chart data: Response Impact South Africa 6.2 India 8.2 Brazil 6.2 United States 6.5 Spain 4.3 China 6.9 Germany 3.8 United Kingdom 5.1 Turkey 4.4 Denmark 2.4

Vega-Lite specification:
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Chart description: More shootings occur during fall and winter months than at other times during the year.   February is the worst month for shootings (most shootings).

Chart data: 2017 Month 92 Jan 100 Feb 76 Mar 67 Apr 74 May 84 Jun 94 Jul 82 Aug 70 Sep 85 Oct 84 Nov 78 Dec

Vega-Lite specification:
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Chart description: The highest number of people shot dead by the police was in March, closely followed by January and April. September had the lowest amount followed by December and August.

Chart data: 2018 Month 99 Jan 80 Feb 110 Mar 98 Apr 83 May 81 Jun 89 Jul 74 Aug 55 Sep 75 Oct 77 Nov 71 Dec

Vega-Lite specification:
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Chart description: Spring of 2018 was especially bad in terms of people being shot by police. Contrary to that, fall/autumn of 2018 had the least victims. The least tragic month was September, while the most tragic was March which had about twice as many victims.

Chart data: 2018 Month 99 Jan 80 Feb 110 Mar 98 Apr 83 May 81 Jun 89 Jul 74 Aug 55 Sep 75 Oct 77 Nov 71 Dec

Vega-Lite specification:
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Chart description: Facial toner is used the most with just over 0.5. Shaving cream or gel is the second highest used item. Body soap or wash is used the least.

Chart data: Response Never Shampoo 0.025 Conditioner 0.06 Body soap or wash 0.01 Facial soap 0.112 Facial toner 0.512 Facial mask 0.315 Shaving cream or gel 0.438 Deodorant or anti-perspirant 0.063 Toothpaste 0.002 Mouthwash 0.285

Vega-Lite specification:
{"config": {"area": {"fill": "#3366CC"}, "rect": {"fill": "#3366CC"}, "bar": {"fill": "#3366CC"}, "point": {"stroke": "#3366CC"}, "circle": {"fill": "#3366CC"}, "background": "#fff", "padding": {"top": 10, "right": 10, "bottom": 10, "left": 10}, "style": {"guide-label": {"font": "Arial, sans-serif", "fontSize": 12}, "guide-title": {"font": "Arial, sans-serif", "fontSize": 12}, "group-title": {"font": "Arial, sans-serif", "fontSize": 12}}, "title": {"font": "Arial, sans-serif", "fontSize": 14, "fontWeight": "bold", "dy": -3, "anchor": "start"}, "axis": {"gridColor": "#ccc", "tickColor": "#ccc", "domain": false, "grid": true}, "range": {"category": ["#4285F4", "#DB4437", "#F4B400", "#0F9D58", "#AB47BC", "#00ACC1", "#FF7043", "#9E9D24", "#5C6BC0", "#F06292", "#00796B", "#C2185B"], "heatmap": ["#c6dafc", "#5e97f6", "#2a56c6"]}}, "data": {"url": "multiColumn/data/5501.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#F4B400"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Never"}, "field": "Never"}}, "title": ["How often do you use various hygienic products", "?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Facial mask is used the most, where as toothpaste is used the least. conditioner is used more often than shampoo. mouthwash is used more than toothpaste.

Chart data: Response Monthly Shampoo 0.035 Conditioner 0.075 Body soap or wash 0.012 Facial soap 0.048 Facial toner 0.142 Facial mask 0.318 Shaving cream or gel 0.214 Deodorant or anti-perspirant 0.033 Toothpaste 0.004 Mouthwash 0.188

Vega-Lite specification:
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Chart description: We can see that satisfaction remains pretty stable for the most part with slight ups and downs in particular years. We can see that the highest satisfaction depicted is in 2016 whilst the lowest satisfaction rates were in 2011, 2013 and 2015.

Chart data: Year Internet news and opinion (average) Dec 31, 2006 75 Dec 31, 2007 75 Dec 31, 2008 74 Dec 31, 2009 74 Dec 31, 2010 73 Dec 31, 2011 73 Dec 31, 2012 73 Dec 31, 2013 74 Dec 31, 2014 73 Dec 31, 2015 76 Dec 31, 2016 75 Dec 31, 2017 75 Dec 31, 2018 77

Vega-Lite specification:
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Chart description: This chart shows little variation between the years 2010 to 2018, with a slight dip in satisfaction below the maximum 80 appearing in 2014 but still reaching around 76-8.

Chart data: Year FOXNews.com Dec 31, 2006 0 Dec 31, 2007 0 Dec 31, 2008 0 Dec 31, 2009 82 Dec 31, 2010 82 Dec 31, 2011 84 Dec 31, 2012 82 Dec 31, 2013 76 Dec 31, 2014 76 Dec 31, 2015 79 Dec 31, 2016 77 Dec 31, 2017 78 Dec 31, 2018 78

Vega-Lite specification:
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Chart description: Customer satisfaction with online news brands was approximately flat, fluctuating around 70 from 2007 to 2019. The highest level of customer satisfaction was approx. 75 in 2010. The lowest level of customer satisfaction was approx. 70 in 2018.

Chart data: Year USATODAY.com Dec 31, 2006 72 Dec 31, 2007 73 Dec 31, 2008 74 Dec 31, 2009 77 Dec 31, 2010 76 Dec 31, 2011 75 Dec 31, 2012 73 Dec 31, 2013 76 Dec 31, 2014 74 Dec 31, 2015 76 Dec 31, 2016 74 Dec 31, 2017 71 Dec 31, 2018 74

Vega-Lite specification:
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Chart description: Chart indicates an overall satisfaction rate between given dates as  approx 80%.

Chart data: Year All others Dec 31, 2006 77 Dec 31, 2007 76 Dec 31, 2008 75 Dec 31, 2009 73 Dec 31, 2010 72 Dec 31, 2011 72 Dec 31, 2012 72 Dec 31, 2013 70 Dec 31, 2014 72 Dec 31, 2015 77 Dec 31, 2016 77 Dec 31, 2017 77 Dec 31, 2018 80

Vega-Lite specification:
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Chart description: The average daily cigarette consumption of women in the UK was higher in the year 2000 than it was in the year 2010. The average daily cigarette consumption of women in the UK was higher in the year 2000 than it was in the year 2015.

Chart data: Year Women Dec 31, 1999 13 Dec 31, 2000 13 Dec 31, 2001 13 Dec 31, 2002 13 Dec 31, 2003 13 Dec 31, 2004 13 Dec 31, 2005 13 Dec 31, 2006 13 Dec 31, 2007 13 Dec 31, 2008 13 Dec 31, 2009 12 Dec 31, 2010 12 Dec 31, 2011 11 Dec 31, 2012 11 Dec 31, 2013 11 Dec 31, 2014 11 Dec 31, 2015 11

Vega-Lite specification:
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