delen/vistext huggingface dataset:
Chart description: Percentage distribution of household income has not fluctuated much between between 2010 to 2014. Distribution of household income starts to decrease at a steady rate from 2014.

Chart data: Annual household income in U\.S\. dollars 15,000 to 24,999 ec 31, 2005 0.095 ec 31, 2006 0.1 ec 31, 2007 0.1 ec 31, 2008 0.1 ec 31, 2009 0.107 ec 31, 2010 0.102 ec 31, 2011 0.106 ec 31, 2012 0.103 ec 31, 2013 0.105 ec 31, 2014 0.1 ec 31, 2015 0.09 ec 31, 2016 0.091 ec 31, 2017 0.088 ec 31, 2018 0.08

Vega-Lite specification:
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Chart description: Annual house hold income is falling a percentage for the period 2006 to 2018.

Chart data: Annual household income in U\.S\. dollars 35,000 to 49,999 ec 31, 2005 0.13 ec 31, 2006 0.128 ec 31, 2007 0.134 ec 31, 2008 0.132 ec 31, 2009 0.133 ec 31, 2010 0.131 ec 31, 2011 0.125 ec 31, 2012 0.125 ec 31, 2013 0.126 ec 31, 2014 0.121 ec 31, 2015 0.123 ec 31, 2016 0.12 ec 31, 2017 0.12 ec 31, 2018 0.117

Vega-Lite specification:
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Chart description: Percentage distribution of household income in the United States is at 0.15 in 2006. In 2007 the value slightly increases, but comes back down to 0.15 in 2008. After 2008 the household income distribution sees a decline, but it starts increasing after 2011. In reaches 0.15 again in 2013 and, after fluctuating the following years, breaks the 0.15 threshold in 2019.

Chart data: Annual household income in U\.S\. dollars 100,000 to 149,999 ec 31, 2005 0.15 ec 31, 2006 0.153 ec 31, 2007 0.15 ec 31, 2008 0.145 ec 31, 2009 0.141 ec 31, 2010 0.138 ec 31, 2011 0.139 ec 31, 2012 0.139 ec 31, 2013 0.14 ec 31, 2014 0.149 ec 31, 2015 0.15 ec 31, 2016 0.147 ec 31, 2017 0.15 ec 31, 2018 0.155

Vega-Lite specification:
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Chart description: The annual household income has increased in the US from 2006 to 2018. In 2006, the average is 0.07. In 2018, the average is 0.075 and rising.

Chart data: Annual household income in U\.S\. dollars 150,000 to 199,999 ec 31, 2005 0.067 ec 31, 2006 0.067 ec 31, 2007 0.063 ec 31, 2008 0.063 ec 31, 2009 0.063 ec 31, 2010 0.062 ec 31, 2011 0.063 ec 31, 2012 0.067 ec 31, 2013 0.066 ec 31, 2014 0.071 ec 31, 2015 0.072 ec 31, 2016 0.073 ec 31, 2017 0.072 ec 31, 2018 0.083

Vega-Lite specification:
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Chart description: From 2006 to 2019, the Percentage distribution of household income has increased. From 2006 to 2012, there was a decrease in the percentage distribution.

Chart data: Annual household income in U\.S\. dollars 200,000 and over ec 31, 2005 0.065 ec 31, 2006 0.064 ec 31, 2007 0.06 ec 31, 2008 0.06 ec 31, 2009 0.059 ec 31, 2010 0.058 ec 31, 2011 0.059 ec 31, 2012 0.069 ec 31, 2013 0.068 ec 31, 2014 0.072 ec 31, 2015 0.08 ec 31, 2016 0.089 ec 31, 2017 0.088 ec 31, 2018 0.103

Vega-Lite specification:
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Chart description: people are earning more and it was more or less the same between 2006 and 2012  but people earnt more between 2012 and 2018.

Chart data: Annual household income in U\.S\. dollars 200,000 and over ec 31, 2005 0.065 ec 31, 2006 0.064 ec 31, 2007 0.06 ec 31, 2008 0.06 ec 31, 2009 0.059 ec 31, 2010 0.058 ec 31, 2011 0.059 ec 31, 2012 0.069 ec 31, 2013 0.068 ec 31, 2014 0.072 ec 31, 2015 0.08 ec 31, 2016 0.089 ec 31, 2017 0.088 ec 31, 2018 0.103

Vega-Lite specification:
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Chart description: The age structure in Cambodia over a 10 year period from 2009 to 2019 didn’t change dramatically.

Chart data: Year 15-64 years Dec 31, 2008 0.6242 Dec 31, 2009 0.6294 Dec 31, 2010 0.6328 Dec 31, 2011 0.6365 Dec 31, 2012 0.6397 Dec 31, 2013 0.6417 Dec 31, 2014 0.6428 Dec 31, 2015 0.6435 Dec 31, 2016 0.6432 Dec 31, 2017 0.6423 Dec 31, 2018 0.6418

Vega-Lite specification:
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Chart description: the age structure of 15-64-year-olds is increasing from 2010 to 2019.

Chart data: Year 15-64 years Dec 31, 2008 0.6242 Dec 31, 2009 0.6294 Dec 31, 2010 0.6328 Dec 31, 2011 0.6365 Dec 31, 2012 0.6397 Dec 31, 2013 0.6417 Dec 31, 2014 0.6428 Dec 31, 2015 0.6435 Dec 31, 2016 0.6432 Dec 31, 2017 0.6423 Dec 31, 2018 0.6418

Vega-Lite specification:
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Chart description: Between 2010 and 2018, age structure in cambodia increased.

Chart data: Year 65 years and older Dec 31, 2008 0.0366 Dec 31, 2009 0.0373 Dec 31, 2010 0.038 Dec 31, 2011 0.0386 Dec 31, 2012 0.0393 Dec 31, 2013 0.0402 Dec 31, 2014 0.0412 Dec 31, 2015 0.0426 Dec 31, 2016 0.0441 Dec 31, 2017 0.0457 Dec 31, 2018 0.0472

Vega-Lite specification:
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Chart description: It's difficult to tell. It seems like the number of followers of the Dallas Cowboys on their social media channels increased every year between 2013 and 2020, but there is no differentiation between the Twitter and Facebook followers, and for some reason, two months of the most years have been highlighted without any context as to why.

Chart data: Twitter followers Month 3.9 Aug '20 3.93 Feb '20 3.8 Aug '19 3.78 Feb '19 3.73 Aug '18 3.71 Feb '18 3.14 Aug '17 2.68 Feb '17 1.85 Aug '16 1.6 Feb '16 1.35 Aug '15 1.16 Feb '15 0.88 Aug '14 0.81 Feb '14 0.63 Aug '13 0.51 Feb '13 0.37 Aug '12

Vega-Lite specification:
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Chart description: Other than a dip in 2017, the revenue has increased every year. Increasing from 30,000 to 50,000 in the 10 years.

Chart data: Year United States and Canada Dec 31, 2009 28279 Dec 31, 2010 30848 Dec 31, 2011 31770 Dec 31, 2012 34021 Dec 31, 2013 36769 Dec 31, 2014 40320 Dec 31, 2015 42616 Dec 31, 2016 41881 Dec 31, 2017 45038 Dec 31, 2018 50555 Dec 31, 2019 0

Vega-Lite specification:
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Chart description: The Walt Disney Company experienced relatively little fluctuation in their revenue from 2010 to 2017, remaining between $6b and $7b, before experiencing a surge in 2018 to over $8b.

Chart data: Year Europe Dec 31, 2009 6550 Dec 31, 2010 6455 Dec 31, 2011 6223 Dec 31, 2012 6181 Dec 31, 2013 6505 Dec 31, 2014 6507 Dec 31, 2015 6714 Dec 31, 2016 6541 Dec 31, 2017 7026 Dec 31, 2018 8006 Dec 31, 2019 7333

Vega-Lite specification:
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Chart description: I would question this data as there seems to be information missing from 2010 to 2017. We know that the Walt Disney Company were trading during this period so to have no amounts registered is confusing. It may also be the fact that the company ran at a loss from 2010 to 2017 however any negative amounts are not shown. The information clearly shows that revenue peaked in 2019 before dipping back slightly in 2020, however this amount was still larger than the amount in 2018.

Chart data: Year Americas* Dec 31, 2009 0 Dec 31, 2010 0 Dec 31, 2011 0 Dec 31, 2012 0 Dec 31, 2013 0 Dec 31, 2014 0 Dec 31, 2015 0 Dec 31, 2016 0 Dec 31, 2017 46877 Dec 31, 2018 53805 Dec 31, 2019 51992

Vega-Lite specification:
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Chart description: The highest median earnings are in 2020 at just over £5 per hour. The earnings stayed flat between 2018-2019 before increasing by approx 10p in 2020. The lowest point was 2014-2015 at £4 per hour.

Chart data: Year 16 to 17 Dec 31, 2003 4 Dec 31, 2004 4.38 Dec 31, 2005 4.56 Dec 31, 2006 4.46 Dec 31, 2007 4.59 Dec 31, 2008 4.74 Dec 31, 2009 4.33 Dec 31, 2010 4.15 Dec 31, 2011 4.34 Dec 31, 2012 4.25 Dec 31, 2013 4 Dec 31, 2014 4 Dec 31, 2015 4.41 Dec 31, 2016 4.76 Dec 31, 2017 4.98 Dec 31, 2018 5 Dec 31, 2019 5.12

Vega-Lite specification:
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Chart description: Over the years, the median hourly earnings had increased.

Chart data: Year 18 to 21 Dec 31, 2003 5.97 Dec 31, 2004 6.07 Dec 31, 2005 6.32 Dec 31, 2006 6.6 Dec 31, 2007 6.75 Dec 31, 2008 7 Dec 31, 2009 7 Dec 31, 2010 6.88 Dec 31, 2011 7 Dec 31, 2012 7.2 Dec 31, 2013 7.25 Dec 31, 2014 7.55 Dec 31, 2015 7.87 Dec 31, 2016 8.2 Dec 31, 2017 8.45 Dec 31, 2018 8.9 Dec 31, 2019 9.1

Vega-Lite specification:
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Chart description: Hourly earnings in the 18-21 age range have steadily increased between 2005 to 2020.  Over the 14 year period the average hourly wage for a full time worker has increased by 50%.

Chart data: Year 18 to 21 Dec 31, 2003 5.97 Dec 31, 2004 6.07 Dec 31, 2005 6.32 Dec 31, 2006 6.6 Dec 31, 2007 6.75 Dec 31, 2008 7 Dec 31, 2009 7 Dec 31, 2010 6.88 Dec 31, 2011 7 Dec 31, 2012 7.2 Dec 31, 2013 7.25 Dec 31, 2014 7.55 Dec 31, 2015 7.87 Dec 31, 2016 8.2 Dec 31, 2017 8.45 Dec 31, 2018 8.9 Dec 31, 2019 9.1

Vega-Lite specification:
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Chart description: Median hourly earnings has been gradually increasing since 2005, only decreasing slightly between 2009 and 2011.

Chart data: Year 22 to 29 Dec 31, 2003 9.03 Dec 31, 2004 9.25 Dec 31, 2005 9.55 Dec 31, 2006 9.8 Dec 31, 2007 10.12 Dec 31, 2008 10.43 Dec 31, 2009 10.34 Dec 31, 2010 10.19 Dec 31, 2011 10.34 Dec 31, 2012 10.6 Dec 31, 2013 10.76 Dec 31, 2014 10.99 Dec 31, 2015 11.35 Dec 31, 2016 11.72 Dec 31, 2017 12.04 Dec 31, 2018 12.57 Dec 31, 2019 12.86

Vega-Lite specification:
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Chart description: The graph is not very easy to understand due to the y-axis. This information would be better presented in a bar chart. Values increase with time.

Chart data: Year 40 to 49 Dec 31, 2003 11.72 Dec 31, 2004 12.11 Dec 31, 2005 12.6 Dec 31, 2006 12.77 Dec 31, 2007 13.31 Dec 31, 2008 13.83 Dec 31, 2009 14.01 Dec 31, 2010 14.07 Dec 31, 2011 14.37 Dec 31, 2012 14.63 Dec 31, 2013 14.82 Dec 31, 2014 15.11 Dec 31, 2015 15.39 Dec 31, 2016 15.88 Dec 31, 2017 16.5 Dec 31, 2018 17.28 Dec 31, 2019 17.5

Vega-Lite specification:
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Chart description: Agricultures share of GDP in Namibia has fallen from 2010 to 2019. Its high in 2010 was just above 0.08. In 2019 it was just above 0.06. The lowest share was in around 2015 where it was 0.06.

Chart data: Year Agriculture Dec 31, 2008 0.0825 Dec 31, 2009 0.0858 Dec 31, 2010 0.0823 Dec 31, 2011 0.0805 Dec 31, 2012 0.0753 Dec 31, 2013 0.0773 Dec 31, 2014 0.0618 Dec 31, 2015 0.0625 Dec 31, 2016 0.0706 Dec 31, 2017 0.0696 Dec 31, 2018 0.0661

Vega-Lite specification:
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Chart description: The visualization shows Agriculture both rising and falling without a clear movement of travel. The peak was reached during 2010. The lowest value was between 2014 and 2016.

Chart data: Year Agriculture Dec 31, 2008 0.0825 Dec 31, 2009 0.0858 Dec 31, 2010 0.0823 Dec 31, 2011 0.0805 Dec 31, 2012 0.0753 Dec 31, 2013 0.0773 Dec 31, 2014 0.0618 Dec 31, 2015 0.0625 Dec 31, 2016 0.0706 Dec 31, 2017 0.0696 Dec 31, 2018 0.0661

Vega-Lite specification:
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Chart description: The graph shows an overall downward trend for Industry between 2009 and 2019. The downward trend over the years saw some small fluctuations from year to year. The highest value around 0.30 in 2012, and the lowest was around 0.26 in 2017.

Chart data: Year Industry Dec 31, 2008 0.2912 Dec 31, 2009 0.2792 Dec 31, 2010 0.2781 Dec 31, 2011 0.3004 Dec 31, 2012 0.2663 Dec 31, 2013 0.2658 Dec 31, 2014 0.2761 Dec 31, 2015 0.2759 Dec 31, 2016 0.2595 Dec 31, 2017 0.2691 Dec 31, 2018 0.2659

Vega-Lite specification:
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Chart description: The share of the services sector as part of the GDP has not seen much change from 2009 to 2019. There have been periods of decline and rise. However, from 2009 to 2019, there is a slight rise in the share of the services sector in the GDP.

Chart data: Year Services Dec 31, 2008 0.5581 Dec 31, 2009 0.5722 Dec 31, 2010 0.5763 Dec 31, 2011 0.5589 Dec 31, 2012 0.5793 Dec 31, 2013 0.5811 Dec 31, 2014 0.5833 Dec 31, 2015 0.581 Dec 31, 2016 0.5927 Dec 31, 2017 0.5852 Dec 31, 2018 0.5931

Vega-Lite specification:
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Chart description: The chart shows that between 2010 and 2018 the age structure in Jordan gradually increased.

Chart data: Year 15-64 years Dec 31, 2008 0.588 Dec 31, 2009 0.5889 Dec 31, 2010 0.5904 Dec 31, 2011 0.5924 Dec 31, 2012 0.5949 Dec 31, 2013 0.5982 Dec 31, 2014 0.6027 Dec 31, 2015 0.6076 Dec 31, 2016 0.613 Dec 31, 2017 0.6191 Dec 31, 2018 0.6254

Vega-Lite specification:
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Chart description: Over the 10 years shown on this area chart the age structure took a very steady increase in the number of people between the ages of 15 and 64. Starting at about 0.58 and ending about 0.66.

Chart data: Year 15-64 years Dec 31, 2008 0.588 Dec 31, 2009 0.5889 Dec 31, 2010 0.5904 Dec 31, 2011 0.5924 Dec 31, 2012 0.5949 Dec 31, 2013 0.5982 Dec 31, 2014 0.6027 Dec 31, 2015 0.6076 Dec 31, 2016 0.613 Dec 31, 2017 0.6191 Dec 31, 2018 0.6254

Vega-Lite specification:
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Chart description: The area in the visualization shown indicates an age distribution in the upper percentiles between the age of approximately 55 and 62 since the graduation on the y axis represents 7 years for every 0.5 beginning at age 15. Age increase gradually over the 10 years of the graph showing a largely static population that is ageing at a normal rate.

Chart data: Year 15-64 years Dec 31, 2008 0.588 Dec 31, 2009 0.5889 Dec 31, 2010 0.5904 Dec 31, 2011 0.5924 Dec 31, 2012 0.5949 Dec 31, 2013 0.5982 Dec 31, 2014 0.6027 Dec 31, 2015 0.6076 Dec 31, 2016 0.613 Dec 31, 2017 0.6191 Dec 31, 2018 0.6254

Vega-Lite specification:
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Chart description: The area chart maximum begins at the midpoint between 0.03 and 0.04 rising to just below 0.04. The chart increases over time. The chart shows an increase in age, those above 65 years, over time.

Chart data: Year 65 years and older Dec 31, 2008 0.0358 Dec 31, 2009 0.0363 Dec 31, 2010 0.0364 Dec 31, 2011 0.0366 Dec 31, 2012 0.0368 Dec 31, 2013 0.0371 Dec 31, 2014 0.0376 Dec 31, 2015 0.0378 Dec 31, 2016 0.0381 Dec 31, 2017 0.0385 Dec 31, 2018 0.0389

Vega-Lite specification:
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Chart description: The number of those 65 years and older is noted to gradually increase over the time period given.  However, the scale provided on the y-axis is incomplete i.e. what are the units denoting?.

Chart data: Year 65 years and older Dec 31, 2008 0.0358 Dec 31, 2009 0.0363 Dec 31, 2010 0.0364 Dec 31, 2011 0.0366 Dec 31, 2012 0.0368 Dec 31, 2013 0.0371 Dec 31, 2014 0.0376 Dec 31, 2015 0.0378 Dec 31, 2016 0.0381 Dec 31, 2017 0.0385 Dec 31, 2018 0.0389

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/2067.tsv"}, "mark": "area", "encoding": {"color": {"value": "#666666"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "65 years and older"}, "field": "65 years and older"}}, "title": ["Jordan : Age structure from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: As time goes on, there are more and more structures in Jordan which are 65+ years old. This shows an aging infrastructure in Jordan.

Chart data: Year 65 years and older Dec 31, 2008 0.0358 Dec 31, 2009 0.0363 Dec 31, 2010 0.0364 Dec 31, 2011 0.0366 Dec 31, 2012 0.0368 Dec 31, 2013 0.0371 Dec 31, 2014 0.0376 Dec 31, 2015 0.0378 Dec 31, 2016 0.0381 Dec 31, 2017 0.0385 Dec 31, 2018 0.0389

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/2067.tsv"}, "mark": "area", "encoding": {"color": {"value": "#666666"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "65 years and older"}, "field": "65 years and older"}}, "title": ["Jordan : Age structure from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Technology items seem to be preferably bought online. Every-day items are preferred to be bought in store. Leisure items are preferred to be bought online.

Chart data: Response Online and mail order retail Books 0.616 Consumer electronics, media, video and audio recordings 0.592 Telecommunications, mobile phones and accessories 0.584 Computers and accessories 0.573 Gift vouchers of various retailers 0.536 Toys 0.451 Clothing, textiles, shoes 0.42 Pharmaceuticals 0.321 Jewellery and watches 0.295 Furniture and decoration 0.214 DIY and home improvement, garden accessories and flowers 0.154 Groceries 0.068

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/2068.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#7fc97f"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Online and mail order retail"}, "field": "Online and mail order retail"}}, "title": ["Would you prefer to buy the following products", "via online or mail order retail or would", "you rather buy them in a shop ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}