delen/vistext huggingface dataset:
Chart description: There is a much higher rate of offences recorded amongst the under 18s when compared to the other age groups. Arson rates also decrease with age, as the rates are lower each time another age group older than the last is recorded on the chart.

Chart data: Type of crime Arson Under 18 1264 18-24 880 25-29 868 30-34 831 35-39 785 40-44 542 45-49 353 50-54 326 55-59 258 60-64 130 65 and older 132

Vega-Lite specification:
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Chart description: 2009 had the lowest penetration rate. 2019 had the highest penetration rate. The penetration rate increased every year. The penetration rate trend is positive over time.

Chart data: Year Asia & Pacific 2019* 0.484 2018 0.462 2017 0.436 2016 0.383 2015 0.346 2014 0.326 2013 0.306 2012 0.279 2011 0.254 2010 0.226 2009 0.19

Vega-Lite specification:
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Chart description: The internet penetration rate increases by roughly the same amount year on year between 2009 and 2019. Over the ten year range, internet penetration more than doubles.

Chart data: Year Asia & Pacific 2019* 0.484 2018 0.462 2017 0.436 2016 0.383 2015 0.346 2014 0.326 2013 0.306 2012 0.279 2011 0.254 2010 0.226 2009 0.19

Vega-Lite specification:
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Chart description: There seems to be a general increase in penetration as the years go by with 2019 having the highest rate of all years.

Chart data: Year CIS 2019* 0.722 2018 0.699 2017 0.661 2016 0.636 2015 0.606 2014 0.599 2013 0.571 2012 0.533 2011 0.42 2010 0.356 2009 0.243

Vega-Lite specification:
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Chart description: Internet penetration rate grew by an average of 0.02 each year almost tripling its rate in 2019.

Chart data: Year CIS 2019* 0.722 2018 0.699 2017 0.661 2016 0.636 2015 0.606 2014 0.599 2013 0.571 2012 0.533 2011 0.42 2010 0.356 2009 0.243

Vega-Lite specification:
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Chart description: The graph indicates that Internet Penetration from 2009 to 2019 has increased from 0.0225 to 0.75. The graph also shows a doubling of Internet Penetration from 2009 to 2011.

Chart data: Year CIS 2019* 0.722 2018 0.699 2017 0.661 2016 0.636 2015 0.606 2014 0.599 2013 0.571 2012 0.533 2011 0.42 2010 0.356 2009 0.243

Vega-Lite specification:
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Chart description: The distribution of electricity by natural gas increased in most years from 2007 to 2019. The only years where there was a decrease from the previous year were 2013 and 2017. The highest reading is in 2019 at about 0.385. The lowest readings are in 2007 and 2008 which both read at about 0.22. The year which had the biggest increase from the previous year was 2012, where it increased by about 0.06.

Chart data: Year Natural gas 2019* 0.38 2018 0.35 2017 0.32 2016 0.34 2015 0.33 2014 0.28 2013 0.28 2012 0.31 2011 0.25 2010 0.24 2009 0.24 2008 0.22 2007 0.22

Vega-Lite specification:
{"config": {"background": "#333", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#1b9e77", "#d95f02", "#7570b3", "#e7298a", "#66a61e", "#e6ab02", "#a6761d", "#666666"]}}, "data": {"url": "multiColumn/data/4281.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d95f02"}, "x": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Natural gas"}, "field": "Natural gas"}}, "title": ["Distribution of electricity generation in", "the United States from 2007 to 2019 , by", "fuel type"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The age scale reduces from 0.25 at 2010 to 0.22 at 2018 with a smooth linear curve which appears to become more shallow as the years increase.

Chart data: Year 0-14 years Dec 31, 2008 0.2533 Dec 31, 2009 0.2482 Dec 31, 2010 0.2431 Dec 31, 2011 0.2382 Dec 31, 2012 0.2334 Dec 31, 2013 0.2287 Dec 31, 2014 0.2242 Dec 31, 2015 0.2205 Dec 31, 2016 0.2168 Dec 31, 2017 0.2133 Dec 31, 2018 0.2101

Vega-Lite specification:
{"config": {"background": "#f9f9f9", "area": {"fill": "#ab5787"}, "line": {"stroke": "#ab5787"}, "rect": {"fill": "#ab5787"}, "bar": {"fill": "#ab5787"}, "point": {"fill": "#ab5787", "size": 30}, "axis": {"domainColor": "#979797", "domainWidth": 0.5, "gridWidth": 0.2, "labelColor": "#979797", "tickColor": "#979797", "tickWidth": 0.2, "titleColor": "#979797"}, "axisBand": {"grid": false}, "axisX": {"grid": true, "tickSize": 10}, "axisY": {"domain": false, "grid": true, "tickSize": 0}, "legend": {"labelFontSize": 11, "padding": 1, "symbolSize": 30, "symbolType": "square"}, "range": {"category": ["#ab5787", "#51b2e5", "#703c5c", "#168dd9", "#d190b6", "#00609f", "#d365ba", "#154866", "#666666", "#c4c4c4"]}}, "data": {"url": "multiColumn/data/430.tsv"}, "mark": "line", "encoding": {"color": {"value": "#168dd9"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 30, "title": "0-14 years"}, "field": "0-14 years"}}, "title": ["Brazil : Age structure from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The graph is showing a downwards trend. The graph suggests that population is decreasing.

Chart data: Year 0-14 years Dec 31, 2008 0.2533 Dec 31, 2009 0.2482 Dec 31, 2010 0.2431 Dec 31, 2011 0.2382 Dec 31, 2012 0.2334 Dec 31, 2013 0.2287 Dec 31, 2014 0.2242 Dec 31, 2015 0.2205 Dec 31, 2016 0.2168 Dec 31, 2017 0.2133 Dec 31, 2018 0.2101

Vega-Lite specification:
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Chart description: The chart suggests that the population of Brazil is ageing.

Chart data: Year 15-64 years Dec 31, 2008 0.6803 Dec 31, 2009 0.6836 Dec 31, 2010 0.6865 Dec 31, 2011 0.6893 Dec 31, 2012 0.6918 Dec 31, 2013 0.6939 Dec 31, 2014 0.6957 Dec 31, 2015 0.6965 Dec 31, 2016 0.6971 Dec 31, 2017 0.6974 Dec 31, 2018 0.6974

Vega-Lite specification:
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Chart description: Facebook fans have decreased since 2012, with a peak in 2015. This has since reduces slightly but remained stable, until 2020 when it declined noticeably again.

Chart data: Month Facebook fans Jul 31, 2012 1.17 Jan 31, 2013 1.21 Jul 31, 2013 1.22 Jan 31, 2014 1.37 Jul 31, 2014 1.58 Jan 31, 2015 1.75 Jul 31, 2015 1.67 Jan 31, 2016 1.69 Jul 31, 2016 1.7 Jan 31, 2017 1.7 Jul 31, 2017 1.7 Jan 31, 2018 1.7 Jul 31, 2018 1.7 Jan 31, 2019 1.7 Jul 31, 2019 1.7 Jan 31, 2020 1.52 Jul 31, 2020 1.51

Vega-Lite specification:
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Chart description: There is an increasing number of fans up to approximately 2015. 2015 has the highest number of fans. From 2015 to 2019 there was no significant change in the number of fans. Between 2019 and 2020 there is a drop in total fans. From 2020 onwards, there was no change in fans.

Chart data: Month Facebook fans Jul 31, 2012 1.17 Jan 31, 2013 1.21 Jul 31, 2013 1.22 Jan 31, 2014 1.37 Jul 31, 2014 1.58 Jan 31, 2015 1.75 Jul 31, 2015 1.67 Jan 31, 2016 1.69 Jul 31, 2016 1.7 Jan 31, 2017 1.7 Jul 31, 2017 1.7 Jan 31, 2018 1.7 Jul 31, 2018 1.7 Jan 31, 2019 1.7 Jul 31, 2019 1.7 Jan 31, 2020 1.52 Jul 31, 2020 1.51

Vega-Lite specification:
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Chart description: As the years progress, the number of Twitter followers increases steadily - up until 2018, where the number remains steady for around a year.

Chart data: Month Twitter followers Jul 31, 2012 0.15 Jan 31, 2013 0.18 Jul 31, 2013 0.22 Jan 31, 2014 0.27 Jul 31, 2014 0.29 Jan 31, 2015 0.37 Jul 31, 2015 0.43 Jan 31, 2016 0.51 Jul 31, 2016 0.57 Jan 31, 2017 0.63 Jul 31, 2017 0.68 Jan 31, 2018 0.81 Jul 31, 2018 0.81 Jan 31, 2019 0.81 Jul 31, 2019 0.81 Jan 31, 2020 0.87 Jul 31, 2020 0.89

Vega-Lite specification:
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Chart description: The percentage of the population between 15 and 64 has been increasing between 2012 and 2018.

Chart data: Year 15-64 years Dec 31, 2008 0.6347 Dec 31, 2009 0.6369 Dec 31, 2010 0.6391 Dec 31, 2011 0.6417 Dec 31, 2012 0.6441 Dec 31, 2013 0.6456 Dec 31, 2014 0.6459 Dec 31, 2015 0.6534 Dec 31, 2016 0.6583 Dec 31, 2017 0.6612 Dec 31, 2018 0.6635

Vega-Lite specification:
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Chart description: The amount of 65 year olds has increased steadily since 2009 to 2019 with no variations.

Chart data: Year 65 years and older Dec 31, 2008 0.0606 Dec 31, 2009 0.0622 Dec 31, 2010 0.064 Dec 31, 2011 0.066 Dec 31, 2012 0.0682 Dec 31, 2013 0.0706 Dec 31, 2014 0.0733 Dec 31, 2015 0.0756 Dec 31, 2016 0.0781 Dec 31, 2017 0.0809 Dec 31, 2018 0.0839

Vega-Lite specification:
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Chart description: The number of people reaching the age of 65 or older in Peru is increasing every year with a constant increase every year.

Chart data: Year 65 years and older Dec 31, 2008 0.0606 Dec 31, 2009 0.0622 Dec 31, 2010 0.064 Dec 31, 2011 0.066 Dec 31, 2012 0.0682 Dec 31, 2013 0.0706 Dec 31, 2014 0.0733 Dec 31, 2015 0.0756 Dec 31, 2016 0.0781 Dec 31, 2017 0.0809 Dec 31, 2018 0.0839

Vega-Lite specification:
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Chart description: Pneumonia and other causes were the most common causes of death with 0.12 each. The fewest deaths were from AIDS and intra-parting related events. Diarrhoea was responsible for 0.08 of deaths.

Chart data: Race Deaths among children aged 1-59 months (53%) Pneumonia 0.12 Preterm birth complications 0.02 Intrapartum-related events 0.01 Sepsis or menigitis 0.02 Congential 0.04 Other 0.12 AIDS 0.01 Diarrhoea 0.08 Malaria 0.05 Injury 0.06 Measles 0.02

Vega-Lite specification:
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Chart description: The chart shows that the leading causes of neonatal deaths vary by number. The highest cause is preterm birth complications.

Chart data: Neonatal deaths (47%) Race 0.03 Pneumonia 0.16 Preterm birth complications 0.11 Intrapartum-related events 0.07 Sepsis or menigitis 0.05 Congential 0.03 Other 0.003 Diarrhoea 0.01 Tetanus 0.01 Injury

Vega-Lite specification:
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Chart description: The price for chicken in Canada is relatively steady throughout the year. The price is approximately 7.5 Canadian dollars per kilogram.

Chart data: Month 2016 De  7.48; Month: Dec No  7.27; Month: Nov Oc  7.53; Month: Oct Se  7.46; Month: Sep Au  7.49; Month: Aug Ju  7.71; Month: Jul Ju  7.52; Month: Jun Ma  7.53; Month: May Ap  7.52; Month: Apr Ma  7.52; Month: Mar Fe  7.34; Month: Feb Ja  7.54; Month: Jan

Vega-Lite specification:
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Chart description: The price remained between 7 and 8 Canadian dollars all year. The price peaked in July. The lowest prices were recorded in February and November. The axis labels do not correspond with the title so the chart is a little confusing.

Chart data: Month 2016 De  7.48; Month: Dec No  7.27; Month: Nov Oc  7.53; Month: Oct Se  7.46; Month: Sep Au  7.49; Month: Aug Ju  7.71; Month: Jul Ju  7.52; Month: Jun Ma  7.53; Month: May Ap  7.52; Month: Apr Ma  7.52; Month: Mar Fe  7.34; Month: Feb Ja  7.54; Month: Jan

Vega-Lite specification:
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Chart description: the price of chicken stayed consistent between 6 and 8 dollars for all months shown in this chart.

Chart data: 2019 Month 7.04 Dec 7.36 Nov 7.55 Oct 7.44 Sep 7.39 Aug 7.72 Jul 7.52 Jun 7.52 May 7.44 Apr 7.29 Mar 7.5 Feb 7.52 Jan

Vega-Lite specification:
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Chart description: The homicide rate in North Ireland has been steadily decreasing throughout the years.

Chart data: Northern Ireland Year 26.5 2002/03 19.4 2003/04 23.9 2004/05 16.8 2005/06 13.8 2006/07 17 2007/08 14.6 2008/09 12.3 2009/10 15.5 2010/11 13.2 2011/12 11 2012/13 11.5 2013/14 13.6 2014/15 11.3 2015/16 9.1 2016/17 14.4 2017/18 15.4 2018/19 10.6 2019/20

Vega-Lite specification:
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Chart description: The areas of London, Scotland and Northern Ireland saw a greater number of its residents voting to remain in the EU, than many other areas where less than half voted to remain.

Chart data: Remain region of the united kingdom 0.62 Scotland 0.599 London 0.558 Northern Ireland 0.482 South East 0.475 Wales 0.474 South West 0.463 North West 0.435 East 0.423 Yorkshire and the Humber 0.42 North East 0.412 East Midlands 0.407 West Midlands

Vega-Lite specification:
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Chart description: Over a 20 year time frame there have been two occasions when there has been a drop  in the percentage of the US population who have assessed crime as a serious problem. In 2010 and 2016 0.6% of the US population felt that crime was a serious problem.

Chart data: Response In the United States Dec 31, 1999 0.6 Dec 31, 2002 0.54 Dec 31, 2003 0.42 Dec 31, 2004 0.49 Dec 31, 2005 0.56 Dec 31, 2006 0.57 Dec 31, 2007 0.51 Dec 31, 2008 0.55 Dec 31, 2009 0.6 Dec 31, 2010 0.54 Dec 31, 2012 0.55 Dec 31, 2013 0.55 Dec 31, 2014 0.59 Dec 31, 2015 0.6 Dec 31, 2016 0.59 Dec 31, 2017 0.48 Dec 31, 2018 0.52 Dec 31, 2019 0.51

Vega-Lite specification:
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Chart description: The United States Art Fund contributed the least amount of money to not-for-profit theatres (about $20,000), closely followed by Federal contributions (about $30,000). By far the greatest amount of contributions came from the category "other sources" standing at around $750,000. Foundations were the second largest contributors giving some $500,000.

Chart data: not-for-profit theatres 2013 Foundation  504; not-for-profit theatres: Foundations Trustee  329; not-for-profit theatres: Trustees Fundraising events/guild  315; not-for-profit theatres: Fundraising events/guilds Corporation  211; not-for-profit theatres: Corporations In-kind services/materials/ facilitie  145; not-for-profit theatres: In-kind services/materials/ facilities Stat  71; not-for-profit theatres: State City/Count  96; not-for-profit theatres: City/County Federa  30; not-for-profit theatres: Federal United arts fund  16; not-for-profit theatres: United arts funds Other individual  735; not-for-profit theatres: Other individuals Other source  133; not-for-profit theatres: Other sources

Vega-Lite specification:
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Chart description: This shows that more money is contributiled from other individuals and fundraising also fou dations than the state and federal actually contribute.

Chart data: not-for-profit theatres 2013 Foundation  504; not-for-profit theatres: Foundations Trustee  329; not-for-profit theatres: Trustees Fundraising events/guild  315; not-for-profit theatres: Fundraising events/guilds Corporation  211; not-for-profit theatres: Corporations In-kind services/materials/ facilitie  145; not-for-profit theatres: In-kind services/materials/ facilities Stat  71; not-for-profit theatres: State City/Count  96; not-for-profit theatres: City/County Federa  30; not-for-profit theatres: Federal United arts fund  16; not-for-profit theatres: United arts funds Other individual  735; not-for-profit theatres: Other individuals Other source  133; not-for-profit theatres: Other sources

Vega-Lite specification:
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Chart description: In 2013 'other individuals' contributed the highest income of not for profit theatres at over 700,000 US dollars. Foundations was the second highest at around 500,000. All others were much lower with United Arts Funds being the lowest at around 50,000.

Chart data: not-for-profit theatres 2013 Foundation  504; not-for-profit theatres: Foundations Trustee  329; not-for-profit theatres: Trustees Fundraising events/guild  315; not-for-profit theatres: Fundraising events/guilds Corporation  211; not-for-profit theatres: Corporations In-kind services/materials/ facilitie  145; not-for-profit theatres: In-kind services/materials/ facilities Stat  71; not-for-profit theatres: State City/Count  96; not-for-profit theatres: City/County Federa  30; not-for-profit theatres: Federal United arts fund  16; not-for-profit theatres: United arts funds Other individual  735; not-for-profit theatres: Other individuals Other source  133; not-for-profit theatres: Other sources

Vega-Lite specification:
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Chart description: The category of 'other individuals' on average contributed the most amount of income. On average, 'United art funds' contributed the least amount of income.

Chart data: 2012 not-for-profit theatres 563 Foundations 305 Trustees 296 Fundraising events/guilds 224 Corporations 152 In-kind services/materials/ facilities 73 State 187 City/County 27 Federal 17 United arts funds 716 Other individuals 156 Other sources

Vega-Lite specification:
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