delen/vistext huggingface dataset:
Chart description: In the last 10 years from 2010 to 2020, the distribution of workforce across economic sectors in Japan has grown steadily. The growth has not been massive, however, with around 0.02 growth in 10 years.

Chart data: Year Services Dec 31, 2009 0.7037 Dec 31, 2010 0.707 Dec 31, 2011 0.7086 Dec 31, 2012 0.7099 Dec 31, 2013 0.7123 Dec 31, 2014 0.7139 Dec 31, 2015 0.7179 Dec 31, 2016 0.7193 Dec 31, 2017 0.7208 Dec 31, 2018 0.7231 Dec 31, 2019 0.7257

Vega-Lite specification:
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Chart description: In this line chart you can see it is regarding the distribution of gross domestic product from the years 200 through to 2019 in Swaziland. We can see a a big decrease in the years 2015 which then starts to even out again in 2017.

Chart data: Year Agriculture Dec 31, 2008 0.0925 Dec 31, 2009 0.1016 Dec 31, 2010 0.0972 Dec 31, 2011 0.102 Dec 31, 2012 0.1012 Dec 31, 2013 0.0924 Dec 31, 2014 0.0932 Dec 31, 2015 0.089 Dec 31, 2016 0.0834 Dec 31, 2017 0.0859 Dec 31, 2018 0.0877

Vega-Lite specification:
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Chart description: I'm so sorry but I don't understand this chart myself.

Chart data: Same as last year No money 43 37 40 38 44 37 26 60 33 49 28 56 18 70 18 71 15 74 15 77

Vega-Lite specification:
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Chart description: 15 same as last year had the highest no money value.

Chart data: Same as last year No money 43 37 40 38 44 37 26 60 33 49 28 56 18 70 18 71 15 74 15 77

Vega-Lite specification:
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Chart description: Data varies widely and a clear conclusion about trends would be problematic.

Chart data: Less than last year No money 11 37 13 38 11 37 7 60 11 49 9 56 7 70 6 71 6 74 4 77

Vega-Lite specification:
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Chart description: The age structure was decreasing between 2010-2018. The decrease was steady.

Chart data: Year 15-64 years Dec 31, 2008 0.6726 Dec 31, 2009 0.6726 Dec 31, 2010 0.6702 Dec 31, 2011 0.6677 Dec 31, 2012 0.6645 Dec 31, 2013 0.66 Dec 31, 2014 0.6543 Dec 31, 2015 0.6486 Dec 31, 2016 0.6418 Dec 31, 2017 0.6349 Dec 31, 2018 0.629

Vega-Lite specification:
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Chart description: The age range is quite static but gradually declining particularly over the previous 4 years.

Chart data: Year 15-64 years Dec 31, 2008 0.6705 Dec 31, 2009 0.67 Dec 31, 2010 0.6672 Dec 31, 2011 0.6657 Dec 31, 2012 0.6649 Dec 31, 2013 0.664 Dec 31, 2014 0.6621 Dec 31, 2015 0.6595 Dec 31, 2016 0.6554 Dec 31, 2017 0.6504 Dec 31, 2018 0.6458

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/3589.tsv"}, "mark": "line", "encoding": {"color": {"value": "#1b9e77"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "15-64 years"}, "field": "15-64 years"}}, "title": ["Croatia : Age structure from 2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The age structure of 15-64 year olds in Croatia has remained really steady during the ten year period of 2009-2019. The chart shows a really small decline at the end of the period.

Chart data: Year 15-64 years Dec 31, 2008 0.6705 Dec 31, 2009 0.67 Dec 31, 2010 0.6672 Dec 31, 2011 0.6657 Dec 31, 2012 0.6649 Dec 31, 2013 0.664 Dec 31, 2014 0.6621 Dec 31, 2015 0.6595 Dec 31, 2016 0.6554 Dec 31, 2017 0.6504 Dec 31, 2018 0.6458

Vega-Lite specification:
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Chart description: The line graph shows the Age structure from 2009 to 2019 in Croatia. The data seems very consistent across the years with almost not significant change or fluctuation. However it can be seen that there is a gradual decrease overall.

Chart data: Year 15-64 years Dec 31, 2008 0.6705 Dec 31, 2009 0.67 Dec 31, 2010 0.6672 Dec 31, 2011 0.6657 Dec 31, 2012 0.6649 Dec 31, 2013 0.664 Dec 31, 2014 0.6621 Dec 31, 2015 0.6595 Dec 31, 2016 0.6554 Dec 31, 2017 0.6504 Dec 31, 2018 0.6458

Vega-Lite specification:
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Chart description: It kind of kept stable, from 2010 to 2018. Between 0.15 and 0.20.

Chart data: Year Industry Dec 31, 2008 0.183 Dec 31, 2009 0.1785 Dec 31, 2010 0.1798 Dec 31, 2011 0.1787 Dec 31, 2012 0.1797 Dec 31, 2013 0.1775 Dec 31, 2014 0.1768 Dec 31, 2015 0.1743 Dec 31, 2016 0.1724 Dec 31, 2017 0.1707 Dec 31, 2018 0.1714

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/367.tsv"}, "mark": "line", "encoding": {"color": {"value": "#fdcdac"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Industry"}, "field": "Industry"}}, "title": ["France : Distribution of gross domestic", "product (GDP) across economic sectors from", "2009 to 2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The overall trend shows a slight decline in GDP across the years.  There is a very small increase in 2019.  The variations are very small showing that GDP is actually quite steady in this period.

Chart data: Year Industry Dec 31, 2008 0.183 Dec 31, 2009 0.1785 Dec 31, 2010 0.1798 Dec 31, 2011 0.1787 Dec 31, 2012 0.1797 Dec 31, 2013 0.1775 Dec 31, 2014 0.1768 Dec 31, 2015 0.1743 Dec 31, 2016 0.1724 Dec 31, 2017 0.1707 Dec 31, 2018 0.1714

Vega-Lite specification:
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Chart description: Distribution of gross domestic product across economic sectors in France has remained relatively stable 2009 to 2019.

Chart data: Year Industry Dec 31, 2008 0.183 Dec 31, 2009 0.1785 Dec 31, 2010 0.1798 Dec 31, 2011 0.1787 Dec 31, 2012 0.1797 Dec 31, 2013 0.1775 Dec 31, 2014 0.1768 Dec 31, 2015 0.1743 Dec 31, 2016 0.1724 Dec 31, 2017 0.1707 Dec 31, 2018 0.1714

Vega-Lite specification:
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Chart description: France's distribution of GDP across economic sectors reduced slightly from 2010 to 2018. Distribution was highest in 2010.

Chart data: Year Industry Dec 31, 2008 0.183 Dec 31, 2009 0.1785 Dec 31, 2010 0.1798 Dec 31, 2011 0.1787 Dec 31, 2012 0.1797 Dec 31, 2013 0.1775 Dec 31, 2014 0.1768 Dec 31, 2015 0.1743 Dec 31, 2016 0.1724 Dec 31, 2017 0.1707 Dec 31, 2018 0.1714

Vega-Lite specification:
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Chart description: North America has more oil demand than East Asia with one month demanding more than 120000.

Chart data: North America East Asia 23500 20500 23500 15500 20000 17000 16000 17500 18000 17500 20000 19000 21000 18500 21000 19000 22000 20000 22000 18500 22500 20000 23000 21000 22000 21500 22000 20500 22000 21000 21500 20500 22500 20500 22500 20500 22500 20000 23000 20000 23500 21000 23500 19500 23000 20500 22500 22000

Vega-Lite specification:
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Chart description: There is very few trends or  Patterns that can be extrapolated from the graph as per the design graph but with a bad layout.

Chart data: Rest of the world East Asia 40500 20500 40000 15500 36000 17000 29000 17500 32500 17500 33500 19000 36000 18500 32000 19000 37500 20000 39000 18500 39000 20000 40000 21000 40500 21500 40500 20500 41000 21000 41500 20500 41000 20500 41500 20500 41000 20000 41000 20000 40500 21000 40500 19500 41500 20500 42000 22000

Vega-Lite specification:
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Chart description: Ontario and Quebec consume the most daily newspaper. Other states are small compare do to these two. Yukon Territories is very close to 0, as well as NewfoundlandYou could assume this is because the largest concentration of population are in Ontario and Quebec.

Chart data: province of Canada Weekly circulation Ontario 14740 Quebec 8010 British Columbia 3110 Alberta 2500 Manitoba 1190 Nova Scotia 650 New Brunswick 540 Saskatchewan 530 Newfoundland and Labrador 160 Prince Edward Island 110 Yukon Territories 7

Vega-Lite specification:
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Chart description: The majority of the spending was in the advertising category of 450 mil. The second most money spent was in payroll. The least amount of money spent was in consultation. All categories, except advertising, was less than $100 mil in spending.

Chart data: spending major category Obama Advertising 457.6 Mail 85.5 Payroll 95.1 Fundraising 81.8 Administration 45.8 Travel 24.1 Polling 27.8 Consult. 12 Lists 16.3 Events 13.9

Vega-Lite specification:
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Chart description: Obama spent between 400 and 500 million US dollars on advertising which is by far outweighing the other catagories. There is no information on Mitt Romneys spending.

Chart data: spending major category Obama Advertising 457.6 Mail 85.5 Payroll 95.1 Fundraising 81.8 Administration 45.8 Travel 24.1 Polling 27.8 Consult. 12 Lists 16.3 Events 13.9

Vega-Lite specification:
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Chart description: Obama spent sums up to $100m on a variety of spending categories up to October 2012, but his most funded category by far was advertising, on which he spent over $450 million.

Chart data: spending major category Obama Advertising 457.6 Mail 85.5 Payroll 95.1 Fundraising 81.8 Administration 45.8 Travel 24.1 Polling 27.8 Consult. 12 Lists 16.3 Events 13.9

Vega-Lite specification:
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Chart description: The proportion of the population aged 0 to 14 in South Korea decreased from an estimated 0.17 in 2009 to 0.13 in 2019.

Chart data: Year 0-14 years Dec 31, 2008 0.1666 Dec 31, 2009 0.161 Dec 31, 2010 0.1562 Dec 31, 2011 0.1512 Dec 31, 2012 0.1463 Dec 31, 2013 0.1418 Dec 31, 2014 0.1378 Dec 31, 2015 0.135 Dec 31, 2016 0.1323 Dec 31, 2017 0.1297 Dec 31, 2018 0.1275

Vega-Lite specification:
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Chart description: Between 2009-2019, the number of children aged under 14 is slowly decreasing.

Chart data: Year 0-14 years Dec 31, 2008 0.1666 Dec 31, 2009 0.161 Dec 31, 2010 0.1562 Dec 31, 2011 0.1512 Dec 31, 2012 0.1463 Dec 31, 2013 0.1418 Dec 31, 2014 0.1378 Dec 31, 2015 0.135 Dec 31, 2016 0.1323 Dec 31, 2017 0.1297 Dec 31, 2018 0.1275

Vega-Lite specification:
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Chart description: The revenue in the Americas has steadily increased from 400 million euros in 2010 to over 1200 million euros in 2019.

Chart data: Year Americas Dec 31, 2009 385 Dec 31, 2010 464 Dec 31, 2011 569 Dec 31, 2012 627 Dec 31, 2013 711 Dec 31, 2014 884 Dec 31, 2015 941 Dec 31, 2016 996 Dec 31, 2017 1059 Dec 31, 2018 1241

Vega-Lite specification:
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Chart description: Revenue of HermA"s worldwide from 2010 to 2019 has been steadily increasing, with a slight plateau between 2014 to 2016.

Chart data: Year Other Dec 31, 2009 31 Dec 31, 2010 43 Dec 31, 2011 53 Dec 31, 2012 66 Dec 31, 2013 74 Dec 31, 2014 73 Dec 31, 2015 77 Dec 31, 2016 92 Dec 31, 2017 108 Dec 31, 2018 120

Vega-Lite specification:
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Chart description: it has stayed quite steady but has dropped slightly over the years.

Chart data: Year Agriculture Dec 31, 2008 0.1529 Dec 31, 2009 0.1393 Dec 31, 2010 0.1351 Dec 31, 2011 0.1337 Dec 31, 2012 0.1336 Dec 31, 2013 0.1334 Dec 31, 2014 0.1349 Dec 31, 2015 0.1348 Dec 31, 2016 0.1316 Dec 31, 2017 0.1281 Dec 31, 2018 0.1272

Vega-Lite specification:
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Chart description: The distribution gross of domestic products in Lesotho has not really grown nor declined, in fact, it has remained the same with some dips but has been hovering around 0..30 for the last 10 years.

Chart data: Year Industry Dec 31, 2008 0.3359 Dec 31, 2009 0.3098 Dec 31, 2010 0.3266 Dec 31, 2011 0.3023 Dec 31, 2012 0.2837 Dec 31, 2013 0.3141 Dec 31, 2014 0.3356 Dec 31, 2015 0.2986 Dec 31, 2016 0.2852 Dec 31, 2017 0.3143 Dec 31, 2018 0.3047

Vega-Lite specification:
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Chart description: most of my purchases are for clothing and footwarei spend the least on electronics.

Chart data: About half of my purchases (41-60%) Response 0.1 Consumer electronics 0.11 Household appliances 0.23 Clothing and footwear 0.17 Books, music, movies and video games 0.12 Furniture/homeware 0.11 Sports/outdoor equipment 0.12 Jewellery/watches 0.11 DIY/home improvement 0.14 Grocery 0.11 Toys 0.18 Health and beauty

Vega-Lite specification:
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Chart description: Clothing, beauty and entertainment appear to be the biggest spending categories.

Chart data: About half of my purchases (41-60%) Response 0.1 Consumer electronics 0.11 Household appliances 0.23 Clothing and footwear 0.17 Books, music, movies and video games 0.12 Furniture/homeware 0.11 Sports/outdoor equipment 0.12 Jewellery/watches 0.11 DIY/home improvement 0.14 Grocery 0.11 Toys 0.18 Health and beauty

Vega-Lite specification:
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Chart description: Again no real pattern l, clothing and footwear show the highest percentage of peoples outgoings very clearly and consumer electronics show the least.

Chart data: About half of my purchases (41-60%) Response 0.1 Consumer electronics 0.11 Household appliances 0.23 Clothing and footwear 0.17 Books, music, movies and video games 0.12 Furniture/homeware 0.11 Sports/outdoor equipment 0.12 Jewellery/watches 0.11 DIY/home improvement 0.14 Grocery 0.11 Toys 0.18 Health and beauty

Vega-Lite specification:
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Chart description: There is a slight decrease in age over time otherwise there’s not much information shown.

Chart data: Year 15-64 years Dec 31, 2008 0.6897 Dec 31, 2009 0.6905 Dec 31, 2010 0.6893 Dec 31, 2011 0.6881 Dec 31, 2012 0.6866 Dec 31, 2013 0.6842 Dec 31, 2014 0.6808 Dec 31, 2015 0.6763 Dec 31, 2016 0.6705 Dec 31, 2017 0.6643 Dec 31, 2018 0.6587

Vega-Lite specification:
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Chart description: There is a relatively consistent amount of counterfeit notes except 2017 which had a noticeable decrease in amount removed. There seem to be no discernible difference between H1 and H2 relationship.

Chart data: Hundred euro half a year 0.096 H2 2019 0.104 H1 2019 0.09 H2 2018 0.109 H1 2018 0.065 H2 2017 0.09 H1 2017 0.097 H2 2016 0.111 H1 2016 0.101 H2 2015 0.085 H1 2015

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Chart description: The average rate is The most common rate is 5 homicides per 100000 or below.

Chart data: province of Canada Aboriginal Nunavut 20.63 Saskatchewan 18.36 Manitoba 16.44 Alberta 11.74 Yukon 10.87 Northwest Territories 8.65 Ontario 4.64 British Columbia 4.64 Newfoundland and Labrador 4.1 Quebec 4 Nova Scotia 3.12 New Brunswick 2.82 Prince Edward Island 0

Vega-Lite specification:
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