delen/vistext huggingface dataset:
Chart description: In 2004, the price of a single journey was about $2.80. IN the year 2005, the price decreased about 20 Cents and remained the same until the year 2008. From the year 2009 to 2013, the price increased every year by approximately 20 cents. In the year 2013, the price for a single journey is about $3.80 and remains the same for the following year, 2014. In the year 2015, the price increased by approximately 10 cents and stayed the same for the following year, 2016.

Chart data: Year Oyster card 2016 3.9 2015 3.9 2014 3.8 2013 3.8 2012* 3.6 2011 3.4 2010 3.1 2009 2.8 2008 2.5 2007 2.5 2006 2.5 2005 2.5 2004 2.8

Vega-Lite specification:
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Chart description: The largest amount of installations happened in 2017 with a gradual increase from 2009. The increase in installations seems to be going up year on year on average.

Chart data: Year Commercial 2019* 1.3 2018 1.2 2017 1.8 2016 1.2 2015 0.8 2014 1 2013 1.2 2012 0.9 2011 0.9 2010 0.3 2009 0.2

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/5254.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#e7298a"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Commercial"}, "field": "Commercial"}}, "title": ["Annual small-scale solar PV capacity installations", "in the U.S. from 2009 to 2019 , by sector", "(in gigawatts)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The unemployment rate for 15 to 24-year-olds in Finland hit a peak in 2015. The unemployment rate for 15 to 24-year-olds in Finland dropped significantly between 2017 and 2018.

Chart data: Year 15-24 years Dec 31, 2008 0.215 Dec 31, 2009 0.214 Dec 31, 2010 0.201 Dec 31, 2011 0.19 Dec 31, 2012 0.199 Dec 31, 2013 0.205 Dec 31, 2014 0.224 Dec 31, 2015 0.201 Dec 31, 2016 0.201 Dec 31, 2017 0.17 Dec 31, 2018 0.172

Vega-Lite specification:
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Chart description: There is a lot of unused space on the chart. The unemployment rate for this age group peaked in 2015. The rate is in decimals. The unemployment rate took a 0.10 drop between 2015 and 2018. The background of this chart is black.

Chart data: Year 15-24 years Dec 31, 2008 0.215 Dec 31, 2009 0.214 Dec 31, 2010 0.201 Dec 31, 2011 0.19 Dec 31, 2012 0.199 Dec 31, 2013 0.205 Dec 31, 2014 0.224 Dec 31, 2015 0.201 Dec 31, 2016 0.201 Dec 31, 2017 0.17 Dec 31, 2018 0.172

Vega-Lite specification:
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Chart description: Unemployment figures for males in Finland since 2009 have fallen despite a sharp rise along the way.

Chart data: Year 35-44 years Dec 31, 2008 0.057 Dec 31, 2009 0.063 Dec 31, 2010 0.055 Dec 31, 2011 0.053 Dec 31, 2012 0.061 Dec 31, 2013 0.064 Dec 31, 2014 0.068 Dec 31, 2015 0.067 Dec 31, 2016 0.063 Dec 31, 2017 0.051 Dec 31, 2018 0.044

Vega-Lite specification:
{"config": {"background": "#666", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#fbb4ae", "#b3cde3", "#ccebc5", "#decbe4", "#fed9a6", "#ffffcc", "#e5d8bd", "#fddaec", "#f2f2f2", "#b3e2cd", "#fdcdac", "#cbd5e8", "#f4cae4", "#e6f5c9", "#fff2ae", "#f1e2cc", "#cccccc"]}}, "data": {"url": "multiColumn/data/5255.tsv"}, "mark": "line", "encoding": {"color": {"value": "#b3cde3"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -30, "title": "35-44 years"}, "field": "35-44 years"}}, "title": ["Unemployment rate in Finland from 2009 to", "2019 , by age group"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: In 2010 there was a short drop in the unemployment rate in Finland until 2012 when there was a sharp increase. In 2016 the unemployment rate began to fall more steeply.

Chart data: Year 35-44 years Dec 31, 2008 0.057 Dec 31, 2009 0.063 Dec 31, 2010 0.055 Dec 31, 2011 0.053 Dec 31, 2012 0.061 Dec 31, 2013 0.064 Dec 31, 2014 0.068 Dec 31, 2015 0.067 Dec 31, 2016 0.063 Dec 31, 2017 0.051 Dec 31, 2018 0.044

Vega-Lite specification:
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Chart description: The peaks of the chart remained largely on the same scale until 2016 when unemployment fell and continued to fall below what was the previous lowest point.

Chart data: Year 45-54 years Dec 31, 2008 0.061 Dec 31, 2009 0.065 Dec 31, 2010 0.056 Dec 31, 2011 0.056 Dec 31, 2012 0.059 Dec 31, 2013 0.064 Dec 31, 2014 0.07 Dec 31, 2015 0.07 Dec 31, 2016 0.064 Dec 31, 2017 0.053 Dec 31, 2018 0.043

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/5255.tsv"}, "mark": "area", "encoding": {"color": {"value": "#e6ab02"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "45-54 years"}, "field": "45-54 years"}}, "title": ["Unemployment rate in Finland from 2009 to", "2019 , by age group"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: It seems that the revenue of KPMG has increased slightly from 2010 to 2019 from $10bn to $11bn.

Chart data: Function Audit Dec 31, 2009 9.91 Dec 31, 2010 10.48 Dec 31, 2011 10.31 Dec 31, 2012 10.21 Dec 31, 2013 10.46 Dec 31, 2014 10.03 Dec 31, 2015 10.12 Dec 31, 2016 10.39 Dec 31, 2017 11.15 Dec 31, 2018 11.18

Vega-Lite specification:
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Chart description: The revenue of KPMG as stayed pretty even for the last 9 years.

Chart data: Function Audit Dec 31, 2009 9.91 Dec 31, 2010 10.48 Dec 31, 2011 10.31 Dec 31, 2012 10.21 Dec 31, 2013 10.46 Dec 31, 2014 10.03 Dec 31, 2015 10.12 Dec 31, 2016 10.39 Dec 31, 2017 11.15 Dec 31, 2018 11.18

Vega-Lite specification:
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Chart description: The advisory and the function of the Revenue of KPMG worldwide was the lowest in 2010, and increased more than 5 billions in 2019.

Chart data: Function Advisory Dec 31, 2009 6.57 Dec 31, 2010 7.54 Dec 31, 2011 7.86 Dec 31, 2012 8.24 Dec 31, 2013 9.09 Dec 31, 2014 9.1 Dec 31, 2015 9.74 Dec 31, 2016 10.18 Dec 31, 2017 11.47 Dec 31, 2018 11.95

Vega-Lite specification:
{"config": {"view": {"fill": "#e5e5e5"}, "area": {"fill": "#000"}, "line": {"stroke": "#000"}, "rect": {"fill": "#000"}, "bar": {"fill": "#000"}, "point": {"color": "#000", "size": 40}, "axis": {"domain": false, "grid": true, "gridColor": "#FFFFFF", "gridOpacity": 1, "labelColor": "#7F7F7F", "labelPadding": 4, "tickColor": "#7F7F7F", "tickSize": 5.67, "titleFontSize": 16, "titleFontWeight": "normal"}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 40}, "range": {"category": ["#000000", "#7F7F7F", "#1A1A1A", "#999999", "#333333", "#B0B0B0", "#4D4D4D", "#C9C9C9", "#666666", "#DCDCDC"]}}, "data": {"url": "multiColumn/data/527.tsv"}, "mark": "area", "encoding": {"color": {"value": "#B0B0B0"}, "x": {"type": "temporal", "axis": {"labelAngle": -90}, "bin": false, "field": "Function"}, "y": {"type": "quantitative", "axis": {"labelAngle": 60, "title": "Advisory"}, "field": "Advisory"}}, "title": ["Revenue of KPMG worldwide from 2010 to 2019", ", by function (in billion U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: KPMG revenue has remained at stable levels with a general upwards trend.

Chart data: Function Tax Dec 31, 2009 4.15 Dec 31, 2010 4.69 Dec 31, 2011 4.86 Dec 31, 2012 4.97 Dec 31, 2013 5.27 Dec 31, 2014 5.31 Dec 31, 2015 5.56 Dec 31, 2016 5.83 Dec 31, 2017 6.34 Dec 31, 2018 6.62

Vega-Lite specification:
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Chart description: Most associate golf with positive moral values. However, the most common response is that they do not associate any US sport with positive moral values. Physical contact sports are some of the lowest responses.

Chart data: Male Response 0.26 Tennis 0.28 Golf 0.25 Baseball 0.14 Soccer 0.14 Football 0.11 Mixed Martial Arts 0.13 Basketball 0.1 Auto Racing 0.08 Hockey 0.05 Boxing 0.03 Wrestling 0.01 Other 0.29 I don't associate any U.S. professional sports with positive moral values 0.06 Not sure

Vega-Lite specification:
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Chart description: Most people said they dont associate any us professional sport. Golf, tennis and baseball had high votes for positive moral values. Boxing and wrestling had the lowest moral values.

Chart data: Male Response 0.26 Tennis 0.28 Golf 0.25 Baseball 0.14 Soccer 0.14 Football 0.11 Mixed Martial Arts 0.13 Basketball 0.1 Auto Racing 0.08 Hockey 0.05 Boxing 0.03 Wrestling 0.01 Other 0.29 I don't associate any U.S. professional sports with positive moral values 0.06 Not sure

Vega-Lite specification:
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Chart description: There has been very little change, only decreasing very slightly.

Chart data: Year Agricultural and wooded area Dec 31, 2007 0.86 Dec 31, 2008 0.859 Dec 31, 2009 0.857 Dec 31, 2010 0.855 Dec 31, 2011 0.855 Dec 31, 2012 0.854 Dec 31, 2013 0.853 Dec 31, 2014 0.853 Dec 31, 2015 0.851 Dec 31, 2016 0.851 Dec 31, 2017 0.852 Dec 31, 2018 0.848

Vega-Lite specification:
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Chart description: x-axis goes up by increments of 2 years. y-axis goes up by increments of .02The highest built up areas occurred in 2016 & 2017. The lowest built up areas occurred in 2008.

Chart data: Year Built-up area Dec 31, 2007 0.091 Dec 31, 2008 0.092 Dec 31, 2009 0.093 Dec 31, 2010 0.095 Dec 31, 2011 0.095 Dec 31, 2012 0.096 Dec 31, 2013 0.097 Dec 31, 2014 0.097 Dec 31, 2015 0.098 Dec 31, 2016 0.098 Dec 31, 2017 0.097 Dec 31, 2018 0.098

Vega-Lite specification:
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Chart description: The chart shows an increase in the share of generics across.the years with it increasing rapidly.

Chart data: Year Share of generics in the total market Dec 31, 2007 0.219 Dec 31, 2008 0.23 Dec 31, 2009 0.249 Dec 31, 2010 0.241 Dec 31, 2011 0.275 Dec 31, 2012 0.309 Dec 31, 2013 0.316 Dec 31, 2014 0.335 Dec 31, 2015 0.356 Dec 31, 2016 0.362 Dec 31, 2017 0.373

Vega-Lite specification:
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Chart description: The distribution of things is fairly equal however the highest distribution is that of Smart City which accounts for 0.45 of Europe.

Chart data: Europe Race 0.45 Smart city 0.31 Connected industry 0.33 Connected building 0.3 Connected car 0.35 Smart energy 0.34 Other 0.29 Connected health 0.36 Smart supply chain 0.26 Smart agriculture 0.35 Smart retail

Vega-Lite specification:
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Chart description: Smart city is the highest race in Europe. The lowest race is smart agriculture in Europe.

Chart data: Europe Race 0.45 Smart city 0.31 Connected industry 0.33 Connected building 0.3 Connected car 0.35 Smart energy 0.34 Other 0.29 Connected health 0.36 Smart supply chain 0.26 Smart agriculture 0.35 Smart retail

Vega-Lite specification:
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Chart description: I can see that the smart city agriculture is dramatically more than the other categories. The smart retail is the lowest measurement available.

Chart data: APAC Race 0.18 Smart city 0.2 Connected industry 0.13 Connected building 0.12 Connected car 0.19 Smart energy 0.11 Other 0.15 Connected health 0.12 Smart supply chain 0.31 Smart agriculture 0.09 Smart retail

Vega-Lite specification:
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Chart description: Smart agriculture has the longest bar at just over 0.30; Smart retail has the shortest bar at just less than 0.10.

Chart data: APAC Race 0.18 Smart city 0.2 Connected industry 0.13 Connected building 0.12 Connected car 0.19 Smart energy 0.11 Other 0.15 Connected health 0.12 Smart supply chain 0.31 Smart agriculture 0.09 Smart retail

Vega-Lite specification:
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Chart description: Agriculture has embraced the internet of things more than even the cities. Industry and energy have also had a large uptick in amount of internet of thingsSmart cities and retail are not embracing as well as others.

Chart data: APAC Race 0.18 Smart city 0.2 Connected industry 0.13 Connected building 0.12 Connected car 0.19 Smart energy 0.11 Other 0.15 Connected health 0.12 Smart supply chain 0.31 Smart agriculture 0.09 Smart retail

Vega-Lite specification:
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Chart description: Connected Health and connected building have the same distribution at approx 0.01 RoW, the biggest category is Other at 0.05.

Chart data: RoW Race 0.03 Smart city 0.04 Connected industry 0.01 Connected building 0.04 Connected car 0.04 Smart energy 0.05 Other 0.01 Connected health 0.03 Smart supply chain 0.04 Smart agriculture 0.03 Smart retail

Vega-Lite specification:
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Chart description: IN general, the amount of store only sales has risen significantly over the period in question, despite the pressure of online retailers as a headwind.

Chart data: Year Store-only retail sales Dec 31, 2007 271.02 Dec 31, 2008 267.51 Dec 31, 2009 271.09 Dec 31, 2010 277.65 Dec 31, 2011 281.79 Dec 31, 2012 287.61 Dec 31, 2013 301.22 Dec 31, 2014 296.85 Dec 31, 2015 299.22 Dec 31, 2016 306.26

Vega-Lite specification:
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Chart description: Between 2008 and 2016 store inly retail sales steadily increased from 275 to 300 billion GBP.

Chart data: Year Store-only retail sales Dec 31, 2007 271.02 Dec 31, 2008 267.51 Dec 31, 2009 271.09 Dec 31, 2010 277.65 Dec 31, 2011 281.79 Dec 31, 2012 287.61 Dec 31, 2013 301.22 Dec 31, 2014 296.85 Dec 31, 2015 299.22 Dec 31, 2016 306.26

Vega-Lite specification:
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Chart description: There has been a very gradual decline in worry about covid overall.

Chart data: Month Rather worried Jan 29-30 0.34 Feb 27-28 0.42 Mar 5 0.38 Mar 15 0.45 Mar 19-20 0.49 Mar 24-25 0.5 Mar 26-27 0.46 Apr 1-2 0.53 Apr 15-16 0.46 Apr 28-29 0.47 May 12-13 0.46

Vega-Lite specification:
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Chart description: Between 1995 and 2015, Voter turnout rates remained relatively consistent at approximately 0.7.

Chart data: Year 65+ Dec 31, 1979 0 Dec 31, 1983 0 Dec 31, 1987 0 Dec 31, 1991 0 Dec 31, 1995 0.692 Dec 31, 1999 0.7 Dec 31, 2003 0.722 Dec 31, 2007 0.718 Dec 31, 2011 0.726 Dec 31, 2015 0.726

Vega-Lite specification:
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Chart description: The age structure of 0-14 year olds in Belarus increases slightly between the years 2009 and 2010.

Chart data: Year 0-14 years Dec 31, 2008 0.1487 Dec 31, 2009 0.149 Dec 31, 2010 0.1507 Dec 31, 2011 0.1531 Dec 31, 2012 0.1561 Dec 31, 2013 0.1594 Dec 31, 2014 0.1626 Dec 31, 2015 0.1651 Dec 31, 2016 0.1671 Dec 31, 2017 0.1687 Dec 31, 2018 0.1704

Vega-Lite specification:
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Chart description: Subscriptions have been increasing consistently each year.  There was no increases between each quarter in 2016 and the levels remained the same throughout the year,.

Chart data: North America Quarter 5112 Q3 '20 4703 Q2 '20 4570 Q1 '20 4637 Q4 '19 4695 Q3 '19 4518 Q2 '19 4361 Q1 '19 4265 Q4 '18 4278 Q3 '18 4131 Q2 '18 3976 Q1 '18 3816 Q4 '17 3615 Q3 '17 3452 Q2 '17 3386 Q1 '17 3363 Q4 '16 3371 Q3 '16 3311 Q2 '16 3221 Q1 '16

Vega-Lite specification:
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Chart description: Over a ten year period from 2009 to 2019, agricultural in gross domestic product (GDP) has shown a increase of almost 0.01.

Chart data: Year Agriculture Dec 31, 2008 0.028 Dec 31, 2009 0.0288 Dec 31, 2010 0.0295 Dec 31, 2011 0.0324 Dec 31, 2012 0.0321 Dec 31, 2013 0.034 Dec 31, 2014 0.038 Dec 31, 2015 0.0358 Dec 31, 2016 0.037 Dec 31, 2017 0.0372 Dec 31, 2018 0.0365

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