delen/vistext huggingface dataset:
Chart description: The chart shows that from year 2010 to 2018, the services amount does not go below 0.5.

Chart data: Year Services Dec 31, 2008 0.5155 Dec 31, 2009 0.5281 Dec 31, 2010 0.5039 Dec 31, 2011 0.5319 Dec 31, 2012 0.5309 Dec 31, 2013 0.5351 Dec 31, 2014 0.5622 Dec 31, 2015 0.5418 Dec 31, 2016 0.5209 Dec 31, 2017 0.5401 Dec 31, 2018 0.5003

Vega-Lite specification:
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Chart description: That they have got higher as the years have gone on. Population getting more and more.

Chart data: Year Urban regions Dec 31, 2008 645.12 Dec 31, 2009 669.78 Dec 31, 2010 690.79 Dec 31, 2011 711.82 Dec 31, 2012 731.11 Dec 31, 2013 749.16 Dec 31, 2014 771.16 Dec 31, 2015 792.98 Dec 31, 2016 813.47 Dec 31, 2017 831.37 Dec 31, 2018 848.43

Vega-Lite specification:
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Chart description: Employment in industry is trending upwards. Industry was flatlined until 2015, it than began steadily increasing year on year.

Chart data: Year Industry Dec 31, 2009 0.303 Dec 31, 2010 0.3067 Dec 31, 2011 0.3042 Dec 31, 2012 0.3054 Dec 31, 2013 0.3054 Dec 31, 2014 0.3054 Dec 31, 2015 0.3145 Dec 31, 2016 0.3167 Dec 31, 2017 0.3182 Dec 31, 2018 0.3194 Dec 31, 2019 0.3197

Vega-Lite specification:
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Chart description: In general other non-life has increased year on year. Since 2012 it has steadily increased from approximately 3,500 to almost 7,000.

Chart data: Year Other non-life 2025* 6770 2024* 6380 2023* 6014 2022* 5668 2021* 5342 2020* 5035 2019* 4833 2018* 4642 2017* 4457 2016* 4285 2015* 4133 2014* 3988 2013 3822 2012 3536 2011 3727 2010 3838 2009 3395

Vega-Lite specification:
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Chart description: Based on the graph .Insurance premium values in the UK are increasing at a steady pace year after year and are projected to continue over the next three to four years.  The graph seems to be a bit out of date with the actual numbers running through to 2013 year end the are projected from 2014 to 2025.

Chart data: Year Other non-life 2025* 6770 2024* 6380 2023* 6014 2022* 5668 2021* 5342 2020* 5035 2019* 4833 2018* 4642 2017* 4457 2016* 4285 2015* 4133 2014* 3988 2013 3822 2012 3536 2011 3727 2010 3838 2009 3395

Vega-Lite specification:
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Chart description: The share of GDP in industry shows a gentle upward trend, with falls in some periods, from 0.20 in 2009 to around 0.21.

Chart data: Year Industry Dec 31, 2008 0.1995 Dec 31, 2009 0.197 Dec 31, 2010 0.2025 Dec 31, 2011 0.204 Dec 31, 2012 0.2006 Dec 31, 2013 0.1978 Dec 31, 2014 0.1999 Dec 31, 2015 0.2067 Dec 31, 2016 0.2046 Dec 31, 2017 0.2116 Dec 31, 2018 0.2092

Vega-Lite specification:
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Chart description: The revenue starts low in 2010, then goes up in 2012, dips in 2013 and then soars upwards for the remaining years.

Chart data: Year Tax Dec 31, 2009 7.09 Dec 31, 2010 7.37 Dec 31, 2011 7.94 Dec 31, 2012 7.2 Dec 31, 2013 7.78 Dec 31, 2014 8.33 Dec 31, 2015 8.95 Dec 31, 2016 9.46 Dec 31, 2017 10.32 Dec 31, 2018 10.7 Dec 31, 2019 10.75

Vega-Lite specification:
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Chart description: Tottenham Hotspur Football Club had the highest revenue by stream in 2018/19 with over 250 million euros. It had the lowest in 2008/9 with just over 50 million euros.

Chart data: Season Broadcasting 2018/19 276.7 2017/18 226.6 2016/17 219 2015/16 147.6 2014/15 125.2 2013/14 113.3 2012/13 72.7 2011/12 76.1 2010/11 92 2009/10 62.9 2008/09 52.6

Vega-Lite specification:
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Chart description: Small consumer** increases from 500 to around 675 in 2010-2013. Small consumer** decreases from around 675 to 410 in 2013-2015. There is a small increase in small consumer** from 2015-2016. From 2016 small consumer** increases until 2019.

Chart data: Year Small consumer** Dec 31, 2009 506.9 Dec 31, 2010 625.6 Dec 31, 2011 651.8 Dec 31, 2012 675.4 Dec 31, 2013 558.8 Dec 31, 2014 406.28 Dec 31, 2015 415.19 Dec 31, 2016 519.71 Dec 31, 2017 572.49 Dec 31, 2018 581.08

Vega-Lite specification:
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Chart description: nothing is predicted - up and down - not obvious pattern at all - start high - dips in 2015/16 then rises again.

Chart data: Year Medium consumer** Dec 31, 2009 461 Dec 31, 2010 537.5 Dec 31, 2011 592.8 Dec 31, 2012 581.7 Dec 31, 2013 519.4 Dec 31, 2014 411.49 Dec 31, 2015 385.5 Dec 31, 2016 413.2 Dec 31, 2017 522.95 Dec 31, 2018 544.25

Vega-Lite specification:
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Chart description: The price has fluctuated with a peak in 2012. The median price was lowest in 2016 but has steadily increased since then and appears to be levelling out at 2019.

Chart data: Year Medium consumer** Dec 31, 2009 461 Dec 31, 2010 537.5 Dec 31, 2011 592.8 Dec 31, 2012 581.7 Dec 31, 2013 519.4 Dec 31, 2014 411.49 Dec 31, 2015 385.5 Dec 31, 2016 413.2 Dec 31, 2017 522.95 Dec 31, 2018 544.25

Vega-Lite specification:
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Chart description: The price of fuel has fluctuations over these years with the higher price being between 2012 and 2013 and the lowest rpice seen in 2015.

Chart data: Year Large consumer** Dec 31, 2009 496.6 Dec 31, 2010 581.8 Dec 31, 2011 605.8 Dec 31, 2012 570.5 Dec 31, 2013 519.1 Dec 31, 2014 313.02 Dec 31, 2015 327.99 Dec 31, 2016 400.49 Dec 31, 2017 447.91 Dec 31, 2018 484.69

Vega-Lite specification:
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Chart description: Great Britain’s average price was more in 2012 than it has been. The average fuel price fell between 2015 and 2016. The heavy fuel price has been on the increase since 2016.

Chart data: Year Average Dec 31, 2009 471.5 Dec 31, 2010 572 Dec 31, 2011 607.3 Dec 31, 2012 588.2 Dec 31, 2013 524.4 Dec 31, 2014 359.6 Dec 31, 2015 359.49 Dec 31, 2016 413.81 Dec 31, 2017 480.41 Dec 31, 2018 518.1

Vega-Lite specification:
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Chart description: There was a high drop in the annual price of heavy fuel oil in 1016. There has been a steady rise since.

Chart data: Year Average Dec 31, 2009 471.5 Dec 31, 2010 572 Dec 31, 2011 607.3 Dec 31, 2012 588.2 Dec 31, 2013 524.4 Dec 31, 2014 359.6 Dec 31, 2015 359.49 Dec 31, 2016 413.81 Dec 31, 2017 480.41 Dec 31, 2018 518.1

Vega-Lite specification:
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Chart description: The average annual price varied from around 300 to around 600 GBP from 2010 to 2019. The average price was at its lowest in 2015 and 2016, at its maximum in 2012. The average price decreased year on year in 2013 and 2014, remained stable in 2015 and 2016 and increased in the other years.

Chart data: Year Average Dec 31, 2009 471.5 Dec 31, 2010 572 Dec 31, 2011 607.3 Dec 31, 2012 588.2 Dec 31, 2013 524.4 Dec 31, 2014 359.6 Dec 31, 2015 359.49 Dec 31, 2016 413.81 Dec 31, 2017 480.41 Dec 31, 2018 518.1

Vega-Lite specification:
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Chart description: After a slump in logistics expenditure from 1997 to 1999, from 0.8 to 0.6, we can see that the rate has maintained at around 0.6.

Chart data: Year Storage costs Dec 31, 1993 0.07 Dec 31, 1994 0.076 Dec 31, 1995 0.075 Dec 31, 1996 0.077 Dec 31, 1997 0.068 Dec 31, 1998 0.062 Dec 31, 1999 0.065 Dec 31, 2000 0.064 Dec 31, 2001 0.064 Dec 31, 2002 0.063 Dec 31, 2003 0.062

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#3e5c69"}, "line": {"stroke": "#3e5c69"}, "rect": {"fill": "#3e5c69"}, "bar": {"fill": "#3e5c69"}, "point": {"color": "#3e5c69"}, "axis": {"domainWidth": 0.5, "grid": true, "labelPadding": 2, "tickSize": 5, "tickWidth": 0.5, "titleFontWeight": "normal"}, "axisBand": {"grid": false}, "axisX": {"gridWidth": 0.2}, "axisY": {"gridDash": [3], "gridWidth": 0.4}, "legend": {"labelFontSize": 11, "padding": 1, "symbolType": "square"}, "range": {"category": ["#3e5c69", "#6793a6", "#182429", "#0570b0", "#3690c0", "#74a9cf", "#a6bddb", "#e2ddf2"]}}, "data": {"url": "multiColumn/data/887.tsv"}, "mark": "line", "encoding": {"color": {"value": "#3690c0"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Storage costs"}, "field": "Storage costs"}}, "title": ["Change in the percentage of expenditure", "for logistics of the GDP of China from 1994", "to 2004"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: this graph shows the year with the lowest storage costs was 1999. it also shows the number has stagnated in more recent years.

Chart data: Year Storage costs Dec 31, 1993 0.07 Dec 31, 1994 0.076 Dec 31, 1995 0.075 Dec 31, 1996 0.077 Dec 31, 1997 0.068 Dec 31, 1998 0.062 Dec 31, 1999 0.065 Dec 31, 2000 0.064 Dec 31, 2001 0.064 Dec 31, 2002 0.063 Dec 31, 2003 0.062

Vega-Lite specification:
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Chart description: Admin costs were 0.032 in 1994 and steadily rose until 2000 when it peaked at 0.035. Since then it has steadily decreased each year, falling to 0.003 in 2004.

Chart data: Year Administrative costs Dec 31, 1993 0.032 Dec 31, 1994 0.034 Dec 31, 1995 0.033 Dec 31, 1996 0.035 Dec 31, 1997 0.035 Dec 31, 1998 0.036 Dec 31, 1999 0.036 Dec 31, 2000 0.035 Dec 31, 2001 0.034 Dec 31, 2002 0.031 Dec 31, 2003 0.03

Vega-Lite specification:
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Chart description: The data in this graph is not very varied therefore the trend is quite flat. There is a slight downwards trend however, the difference is very small. The highest change in percentage of expenditure for logistics of the GDP of China is around 0.23 in 1994. The lowest point is around 0.22 in 2002. The overall difference between these points is only 0.01.

Chart data: Year Total logistics costs Dec 31, 1993 0.221 Dec 31, 1994 0.22 Dec 31, 1995 0.22 Dec 31, 1996 0.223 Dec 31, 1997 0.214 Dec 31, 1998 0.214 Dec 31, 1999 0.212 Dec 31, 2000 0.211 Dec 31, 2001 0.215 Dec 31, 2002 0.214 Dec 31, 2003 0.213

Vega-Lite specification:
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Chart description: In 2015 there was a decline in the use of Adderall for grade 8.  The year with the greatest use of Adderall for grade 8 was 2019.

Chart data: Year 8th grade Dec 31, 2008 0.02 Dec 31, 2009 0.023 Dec 31, 2010 0.017 Dec 31, 2011 0.017 Dec 31, 2012 0.018 Dec 31, 2013 0.013 Dec 31, 2014 0.01 Dec 31, 2015 0.015 Dec 31, 2016 0.013 Dec 31, 2017 0.018 Dec 31, 2018 0.025

Vega-Lite specification:
{"config": {"range": {"category": ["#4c78a8", "#9ecae9", "#f58518", "#ffbf79", "#54a24b", "#88d27a", "#b79a20", "#f2cf5b", "#439894", "#83bcb6", "#e45756", "#ff9d98", "#79706e", "#bab0ac", "#d67195", "#fcbfd2", "#b279a2", "#d6a5c9", "#9e765f", "#d8b5a5"]}}, "data": {"url": "multiColumn/data/891.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ffbf79"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "8th grade"}, "field": "8th grade"}}, "title": ["Annual prevalence of use of Adderall for", "grades 8 , 10 and 12 from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Prevalence of Adderall use increased (overall) from 2010 to 2018. Between these years use went down, however by the time 2018 was reached there had been an increase in usage. The Y axis only states that it is 8th grade usage.

Chart data: Year 8th grade Dec 31, 2008 0.02 Dec 31, 2009 0.023 Dec 31, 2010 0.017 Dec 31, 2011 0.017 Dec 31, 2012 0.018 Dec 31, 2013 0.013 Dec 31, 2014 0.01 Dec 31, 2015 0.015 Dec 31, 2016 0.013 Dec 31, 2017 0.018 Dec 31, 2018 0.025

Vega-Lite specification:
{"config": {"range": {"category": ["#4c78a8", "#9ecae9", "#f58518", "#ffbf79", "#54a24b", "#88d27a", "#b79a20", "#f2cf5b", "#439894", "#83bcb6", "#e45756", "#ff9d98", "#79706e", "#bab0ac", "#d67195", "#fcbfd2", "#b279a2", "#d6a5c9", "#9e765f", "#d8b5a5"]}}, "data": {"url": "multiColumn/data/891.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ffbf79"}, "x": {"type": "temporal", "axis": {"labelAngle": -30}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "8th grade"}, "field": "8th grade"}}, "title": ["Annual prevalence of use of Adderall for", "grades 8 , 10 and 12 from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The year 2018 saw the highest use of adderall for 8th graders in schools. The year 2015 saw the lowest use of adder all for 8th graders in schools.

Chart data: Year 8th grade Dec 31, 2008 0.02 Dec 31, 2009 0.023 Dec 31, 2010 0.017 Dec 31, 2011 0.017 Dec 31, 2012 0.018 Dec 31, 2013 0.013 Dec 31, 2014 0.01 Dec 31, 2015 0.015 Dec 31, 2016 0.013 Dec 31, 2017 0.018 Dec 31, 2018 0.025

Vega-Lite specification:
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Chart description: Employment in the industry sector has been in steady decline since 2010.

Chart data: Year Industry Dec 31, 2009 0.2179 Dec 31, 2010 0.2161 Dec 31, 2011 0.2162 Dec 31, 2012 0.2133 Dec 31, 2013 0.2084 Dec 31, 2014 0.2034 Dec 31, 2015 0.1935 Dec 31, 2016 0.1852 Dec 31, 2017 0.1767 Dec 31, 2018 0.1663 Dec 31, 2019 0.1612

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/894.tsv"}, "mark": "area", "encoding": {"color": {"value": "#7570b3"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": 0, "title": "Industry"}, "field": "Industry"}}, "title": ["Venezuela : Distribution of employment by", "economic sector from 2010 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: this bar chart explains sizes and expresses clear and consise information.

Chart data: World of Warcraft Alliance characters EU realms Human 0.301 Night Elf 0.232 Draenei 0.106 Worgen 0.087 Gnome 0.079 Dwarf 0.073 Pandaren (Alliance) 0.046 Void Elf 0.036 Lightforged Draenei 0.16 Dark Iron Dwarf 0.017 Kul Tiran 0.007

Vega-Lite specification:
{"config": {"area": {"fill": "#30a2da"}, "axis": {"domainColor": "#cbcbcb", "grid": true, "gridColor": "#cbcbcb", "gridWidth": 1, "labelColor": "#999", "labelFontSize": 10, "titleColor": "#333", "tickColor": "#cbcbcb", "tickSize": 10, "titleFontSize": 14, "titlePadding": 10, "labelPadding": 4}, "axisBand": {"grid": false}, "background": "#f0f0f0", "view": {"fill": "#f0f0f0"}, "legend": {"labelColor": "#333", "labelFontSize": 11, "padding": 1, "symbolSize": 30, "symbolType": "square", "titleColor": "#333", "titleFontSize": 14, "titlePadding": 10}, "line": {"stroke": "#30a2da", "strokeWidth": 2}, "rect": {"fill": "#30a2da"}, "bar": {"binSpacing": 2, "fill": "#30a2da", "stroke": null}, "range": {"category": ["#30a2da", "#fc4f30", "#e5ae38", "#6d904f", "#8b8b8b", "#b96db8", "#ff9e27", "#56cc60", "#52d2ca", "#52689e", "#545454", "#9fe4f8"], "diverging": ["#cc0020", "#e77866", "#f6e7e1", "#d6e8ed", "#91bfd9", "#1d78b5"], "heatmap": ["#d6e8ed", "#cee0e5", "#91bfd9", "#549cc6", "#1d78b5"]}, "point": {"filled": true, "shape": "circle"}, "title": {"anchor": "start", "fontSize": 24, "fontWeight": 600, "offset": 20}}, "data": {"url": "multiColumn/data/896.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#e5ae38"}, "x": {"type": "nominal", "axis": {"labelAngle": 45}, "bin": false, "field": "World of Warcraft Alliance characters"}, "y": {"type": "quantitative", "axis": {"title": "EU realms"}, "field": "EU realms"}}, "title": ["Distribution of World of Warcraft Alliance", "characters in U.S. and EU realms as of December", "2019 , by race"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is not a huge change in number of Papa John's restaurants from 2007 to 2019. In 2007 there are approx 650 and by 2019 approx 600. There is a slight increase from 2015 to 2017 but this is not significant and does not last.

Chart data: Year Company-owned Dec 31, 2006 648 Dec 31, 2007 592 Dec 31, 2008 588 Dec 31, 2009 591 Dec 31, 2010 598 Dec 31, 2011 648 Dec 31, 2012 665 Dec 31, 2013 686 Dec 31, 2014 707 Dec 31, 2015 702 Dec 31, 2016 708 Dec 31, 2017 645 Dec 31, 2018 598

Vega-Lite specification:
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Chart description: There was an increase in Papa John's restaurants from 2011 until 2017 from around 600 to approximate 700 restaurants, but after that, the number started to decline and are sitting at around 600 restaurants in 2019.

Chart data: Year Company-owned Dec 31, 2006 648 Dec 31, 2007 592 Dec 31, 2008 588 Dec 31, 2009 591 Dec 31, 2010 598 Dec 31, 2011 648 Dec 31, 2012 665 Dec 31, 2013 686 Dec 31, 2014 707 Dec 31, 2015 702 Dec 31, 2016 708 Dec 31, 2017 645 Dec 31, 2018 598

Vega-Lite specification:
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Chart description: From Oct the amount of sales has increased. This might be due to the winter months being a time when people are inside and bored.

Chart data: 2018 Month 57.34 Dec 53.73 Nov 41.47 Oct

Vega-Lite specification:
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Chart description: Sales are the lowest at the beginning of the year in winter and spring then start to rise again starting in summer all the way through the end of the year.

Chart data: Month 2019 De  147.89; Month: Dec No  135.31; Month: Nov Oc  128.98; Month: Oct Se  122.93; Month: Sep Au  125.95; Month: Aug Ju  107.36; Month: Jul Ju  91.46; Month: Jun Ma  85.81; Month: May Ap  74.58; Month: Apr Ma  60.94; Month: Mar Fe  51.66; Month: Feb Ja  54.88; Month: Jan

Vega-Lite specification:
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Chart description: Whilst at first a downward trend this has now reversed and is now nearly back at the level at the beginning of the study.

Chart data: Month 2019 De  147.89; Month: Dec No  135.31; Month: Nov Oc  128.98; Month: Oct Se  122.93; Month: Sep Au  125.95; Month: Aug Ju  107.36; Month: Jul Ju  91.46; Month: Jun Ma  85.81; Month: May Ap  74.58; Month: Apr Ma  60.94; Month: Mar Fe  51.66; Month: Feb Ja  54.88; Month: Jan

Vega-Lite specification:
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