delen/vistext huggingface dataset:
Chart description: There has been a consistent decrease in gallons of whole milk consumed from 2000 to 2013. From 2013 to 2015 there has been a roughly equally consistent increase.

Chart data: Year Gallons Dec 31, 1999 7.8 Dec 31, 2000 7.6 Dec 31, 2001 7.5 Dec 31, 2002 7.4 Dec 31, 2003 7.1 Dec 31, 2004 6.8 Dec 31, 2005 6.5 Dec 31, 2006 6.2 Dec 31, 2007 6 Dec 31, 2008 5.8 Dec 31, 2009 5.5 Dec 31, 2010 5.3 Dec 31, 2011 5.2 Dec 31, 2012 5.2 Dec 31, 2013 5.1 Dec 31, 2014 5.3 Dec 31, 2015 5.6 Dec 31, 2016 5.7

Vega-Lite specification:
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Chart description: As the years go by the amount of footwear increases. From 2012 to 2016 the footwear increase is pretty linear and at the start of 2016 the increase in footwear starts to tail off and decelerate, then going down until the start of 2018.

Chart data: Year Footwear Dec 31, 2008 4694 Dec 31, 2009 4610 Dec 31, 2010 5111 Dec 31, 2011 5941 Dec 31, 2012 6751 Dec 31, 2013 7495 Dec 31, 2014 8506 Dec 31, 2015 9299 Dec 31, 2016 9684 Dec 31, 2017 9322 Dec 31, 2018 10045 Dec 31, 2019 9329

Vega-Lite specification:
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Chart description: Nike's revenue has increased steadily from 2010 to 2016, thereafter growth stabilised somewhat. Revenue peaked in 2019 at 10,000 million dollars.

Chart data: Year Footwear Dec 31, 2008 4694 Dec 31, 2009 4610 Dec 31, 2010 5111 Dec 31, 2011 5941 Dec 31, 2012 6751 Dec 31, 2013 7495 Dec 31, 2014 8506 Dec 31, 2015 9299 Dec 31, 2016 9684 Dec 31, 2017 9322 Dec 31, 2018 10045 Dec 31, 2019 9329

Vega-Lite specification:
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Chart description: The lowest load factor was in 2010 (0.225). The highest load factor was in 2015 (0.29). The average load factor is approximately 0.25. In 2016 the load factor decreased significantly.

Chart data: Year Onshore Dec 31, 2009 0.218 Dec 31, 2010 0.279 Dec 31, 2011 0.258 Dec 31, 2012 0.284 Dec 31, 2013 0.262 Dec 31, 2014 0.293 Dec 31, 2015 0.236 Dec 31, 2016 0.28 Dec 31, 2017 0.264 Dec 31, 2018 0.266

Vega-Lite specification:
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Chart description: From 2010 there has been an upward trend.. Dipping slightly in 2012 and in 2016 although still remained high generally. Peaks in 2015 and 2019.

Chart data: Year Offshore Dec 31, 2009 0.305 Dec 31, 2010 0.37 Dec 31, 2011 0.358 Dec 31, 2012 0.391 Dec 31, 2013 0.373 Dec 31, 2014 0.415 Dec 31, 2015 0.36 Dec 31, 2016 0.389 Dec 31, 2017 0.401 Dec 31, 2018 0.404

Vega-Lite specification:
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Chart description: There has been a largely steady rate, with slight fluctuation, averaging around the 0.4 mark.

Chart data: Year Offshore Dec 31, 2009 0.305 Dec 31, 2010 0.37 Dec 31, 2011 0.358 Dec 31, 2012 0.391 Dec 31, 2013 0.373 Dec 31, 2014 0.415 Dec 31, 2015 0.36 Dec 31, 2016 0.389 Dec 31, 2017 0.401 Dec 31, 2018 0.404

Vega-Lite specification:
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Chart description: In the last decade, Agricultural employment has trended downwards.

Chart data: Year Agriculture Dec 31, 2009 0.2828 Dec 31, 2010 0.2645 Dec 31, 2011 0.2554 Dec 31, 2012 0.2419 Dec 31, 2013 0.2095 Dec 31, 2014 0.1801 Dec 31, 2015 0.1745 Dec 31, 2016 0.1687 Dec 31, 2017 0.1626 Dec 31, 2018 0.158 Dec 31, 2019 0.1545

Vega-Lite specification:
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Chart description: Between 2010 and 2018,the amount of agriculture decreased.

Chart data: Year Agriculture Dec 31, 2009 0.2828 Dec 31, 2010 0.2645 Dec 31, 2011 0.2554 Dec 31, 2012 0.2419 Dec 31, 2013 0.2095 Dec 31, 2014 0.1801 Dec 31, 2015 0.1745 Dec 31, 2016 0.1687 Dec 31, 2017 0.1626 Dec 31, 2018 0.158 Dec 31, 2019 0.1545

Vega-Lite specification:
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Chart description: Between 2010 and 2018 the distribution level rose gradually. There was a bigger increase between 2010 and 2014 than 2014 to 2018.

Chart data: Year Services Dec 31, 2009 0.5301 Dec 31, 2010 0.5458 Dec 31, 2011 0.5507 Dec 31, 2012 0.5599 Dec 31, 2013 0.5878 Dec 31, 2014 0.6143 Dec 31, 2015 0.6209 Dec 31, 2016 0.627 Dec 31, 2017 0.633 Dec 31, 2018 0.6374 Dec 31, 2019 0.6407

Vega-Lite specification:
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Chart description: Employment in the agriculture sector in Hungary has been in decline since 2017.

Chart data: Year Agriculture Dec 31, 2009 0.0454 Dec 31, 2010 0.0489 Dec 31, 2011 0.0506 Dec 31, 2012 0.0478 Dec 31, 2013 0.0468 Dec 31, 2014 0.049 Dec 31, 2015 0.0504 Dec 31, 2016 0.0504 Dec 31, 2017 0.0485 Dec 31, 2018 0.047 Dec 31, 2019 0.0457

Vega-Lite specification:
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Chart description: Since 2017 there has been a level reduction in agriculture employment.

Chart data: Year Agriculture Dec 31, 2009 0.0454 Dec 31, 2010 0.0489 Dec 31, 2011 0.0506 Dec 31, 2012 0.0478 Dec 31, 2013 0.0468 Dec 31, 2014 0.049 Dec 31, 2015 0.0504 Dec 31, 2016 0.0504 Dec 31, 2017 0.0485 Dec 31, 2018 0.047 Dec 31, 2019 0.0457

Vega-Lite specification:
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Chart description: Exports has stadily rises from 2005 to 2019 with a significant spike in volume between 2012-2013. Over this period volume rose from just over 20,000 to 70,000.

Chart data: Year Export Dec 31, 2004 24045.7 Dec 31, 2005 28678 Dec 31, 2006 38762 Dec 31, 2007 42525.4 Dec 31, 2008 29452.8 Dec 31, 2009 52461.1 Dec 31, 2010 70668.4 Dec 31, 2011 60266.1 Dec 31, 2012 96752.1 Dec 31, 2013 46716 Dec 31, 2014 71466.1 Dec 31, 2015 47950.1 Dec 31, 2016 46459.8 Dec 31, 2017 56023.6 Dec 31, 2018 68383.5

Vega-Lite specification:
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Chart description: "013 has the highest exports at 100,000. 2006 has the lowest exports at just over 20,000. The biggest drop in exports occurred between 2013 and 2014. The biggest rise occurred between 2009 and 2011.

Chart data: Year Export Dec 31, 2004 24045.7 Dec 31, 2005 28678 Dec 31, 2006 38762 Dec 31, 2007 42525.4 Dec 31, 2008 29452.8 Dec 31, 2009 52461.1 Dec 31, 2010 70668.4 Dec 31, 2011 60266.1 Dec 31, 2012 96752.1 Dec 31, 2013 46716 Dec 31, 2014 71466.1 Dec 31, 2015 47950.1 Dec 31, 2016 46459.8 Dec 31, 2017 56023.6 Dec 31, 2018 68383.5

Vega-Lite specification:
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Chart description: The highest number of exports was almost 100000 between 2012 and 2014. After the peak exports reduced to around 50000 in 2014. In 2018 exports were trending upwards.

Chart data: Year Export Dec 31, 2004 24045.7 Dec 31, 2005 28678 Dec 31, 2006 38762 Dec 31, 2007 42525.4 Dec 31, 2008 29452.8 Dec 31, 2009 52461.1 Dec 31, 2010 70668.4 Dec 31, 2011 60266.1 Dec 31, 2012 96752.1 Dec 31, 2013 46716 Dec 31, 2014 71466.1 Dec 31, 2015 47950.1 Dec 31, 2016 46459.8 Dec 31, 2017 56023.6 Dec 31, 2018 68383.5

Vega-Lite specification:
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Chart description: The import increases and decreases throughout the years. From 2016 - 2018 it appears to increase exponentially. The highest value is at the end of the chart at just under 120,000 import and the lowest is at the beginning of the chart at just under 40,000 import.

Chart data: Year Import Dec 31, 2004 37427.3 Dec 31, 2005 42992.7 Dec 31, 2006 59961.2 Dec 31, 2007 62685.1 Dec 31, 2008 44580.8 Dec 31, 2009 57152.3 Dec 31, 2010 75092.9 Dec 31, 2011 72623 Dec 31, 2012 103475.2 Dec 31, 2013 69174.6 Dec 31, 2014 88653.6 Dec 31, 2015 78531.7 Dec 31, 2016 94101.9 Dec 31, 2017 108775.3 Dec 31, 2018 127053.5

Vega-Lite specification:
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Chart description: The distribution of GDP has been steadily growing. The distribution of GDP was the lowest in 2011 and is the highest now.

Chart data: Year Agriculture Dec 31, 2008 0.1366 Dec 31, 2009 0.1407 Dec 31, 2010 0.1348 Dec 31, 2011 0.1372 Dec 31, 2012 0.139 Dec 31, 2013 0.1423 Dec 31, 2014 0.1477 Dec 31, 2015 0.1454 Dec 31, 2016 0.1437 Dec 31, 2017 0.1442 Dec 31, 2018 0.1538

Vega-Lite specification:
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Chart description: agriculture contribute to the GDP in a stable rate, around 0.15.

Chart data: Year Agriculture Dec 31, 2008 0.1366 Dec 31, 2009 0.1407 Dec 31, 2010 0.1348 Dec 31, 2011 0.1372 Dec 31, 2012 0.139 Dec 31, 2013 0.1423 Dec 31, 2014 0.1477 Dec 31, 2015 0.1454 Dec 31, 2016 0.1437 Dec 31, 2017 0.1442 Dec 31, 2018 0.1538

Vega-Lite specification:
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Chart description: The gdp is ranging between 0.22 and 0.25 The gdp reached the maximum of 0.25 in the year 2018. The gdp increased steadily over the years.

Chart data: Year Industry Dec 31, 2007 0.2239 Dec 31, 2008 0.226 Dec 31, 2009 0.2289 Dec 31, 2010 0.2226 Dec 31, 2011 0.2337 Dec 31, 2012 0.2315 Dec 31, 2013 0.2215 Dec 31, 2014 0.2235 Dec 31, 2015 0.2294 Dec 31, 2016 0.2436 Dec 31, 2017 0.2512

Vega-Lite specification:
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Chart description: We can see that expenditure in the economic sectors has steadily increase in the latter years of the graph.

Chart data: Year Industry Dec 31, 2007 0.2239 Dec 31, 2008 0.226 Dec 31, 2009 0.2289 Dec 31, 2010 0.2226 Dec 31, 2011 0.2337 Dec 31, 2012 0.2315 Dec 31, 2013 0.2215 Dec 31, 2014 0.2235 Dec 31, 2015 0.2294 Dec 31, 2016 0.2436 Dec 31, 2017 0.2512

Vega-Lite specification:
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Chart description: The gross domestic product across domestic sectors has remained quite consistent.

Chart data: Year Industry Dec 31, 2007 0.2239 Dec 31, 2008 0.226 Dec 31, 2009 0.2289 Dec 31, 2010 0.2226 Dec 31, 2011 0.2337 Dec 31, 2012 0.2315 Dec 31, 2013 0.2215 Dec 31, 2014 0.2235 Dec 31, 2015 0.2294 Dec 31, 2016 0.2436 Dec 31, 2017 0.2512

Vega-Lite specification:
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Chart description: There has been a steady increase in the percentage  of secondary and primary school pupils with English as a second language between '97 and '18. The biggest increase was between 2010 and 2015 where it increased by approximately 0.04 percentage points.

Chart data: Year Secondary Dec 31, 1996 0.073 Dec 31, 1997 0.078 Dec 31, 1998 0.078 Dec 31, 1999 0.08 Dec 31, 2000 0.08 Dec 31, 2001 0.086 Dec 31, 2002 0.088 Dec 31, 2003 0.088 Dec 31, 2004 0.09 Dec 31, 2005 0.095 Dec 31, 2006 0.105 Dec 31, 2007 0.108 Dec 31, 2008 0.111 Dec 31, 2009 0.116 Dec 31, 2010 0.123 Dec 31, 2011 0.129 Dec 31, 2012 0.136 Dec 31, 2013 0.143 Dec 31, 2014 0.15 Dec 31, 2015 0.157 Dec 31, 2016 0.162 Dec 31, 2017 0.166

Vega-Lite specification:
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Chart description: Uber has the highest market value with approximately 55 EV/EBITDA, significantly higher than any other company, with the next company, Lyft, on 40 EV/EBITDA. The lowest market value was held by moneysupermarket with 10 EV/EBITDA. Nine of the eleven companies have market value below 30 EV/EBITDA, the only two above this were Lyft (approximately 40) and Uber (approximately 55).

Chart data: Factor 2022* Uber (United States) 56.3 Takeaway.com (Netherlands) 25 Etsy (United States) 22.9 Lyft (United States) 40.6 GrubHub (United States) 29.7 Kakaku.com (Japan) 17.7 CarGurus (United States) 12.9 Moneysupermarket.com (United Kingdom) 10 Gruppo MutuiOnline (Italy) 12.7 Redbubble (Australia) 15.9 TrueCar (United States) 22.7

Vega-Lite specification:
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Chart description: Uber is the leader in this chart leading the competition by over 10.

Chart data: Factor 2022* Uber (United States) 56.3 Takeaway.com (Netherlands) 25 Etsy (United States) 22.9 Lyft (United States) 40.6 GrubHub (United States) 29.7 Kakaku.com (Japan) 17.7 CarGurus (United States) 12.9 Moneysupermarket.com (United Kingdom) 10 Gruppo MutuiOnline (Italy) 12.7 Redbubble (Australia) 15.9 TrueCar (United States) 22.7

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/1568.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#B0B0B0"}, "x": {"type": "nominal", "axis": {"labelAngle": 90}, "bin": false, "field": "Factor"}, "y": {"type": "quantitative", "axis": {"title": "2022*"}, "field": "2022*"}}, "title": ["Enterprise-value-to-EBITDA (EV/EBITDA) of", "leading online marketplaces worldwide from", "2020 to 2022"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Distribution has increased from 2011 and remained steady from 2016 til 2019.

Chart data: Year Agriculture Dec 31, 2008 0.0934 Dec 31, 2009 0.0847 Dec 31, 2010 0.0811 Dec 31, 2011 0.0877 Dec 31, 2012 0.0985 Dec 31, 2013 0.1029 Dec 31, 2014 0.1158 Dec 31, 2015 0.1222 Dec 31, 2016 0.1195 Dec 31, 2017 0.1198 Dec 31, 2018 0.1197

Vega-Lite specification:
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Chart description: Nike started off with 200 stores, stores grewEvery year up to 2018 when they ended on 675 and then continued to fall.

Chart data: Year NIKE factory stores Dec 31, 2008 184 Dec 31, 2009 205 Dec 31, 2010 243 Dec 31, 2011 308 Dec 31, 2012 388 Dec 31, 2013 459 Dec 31, 2014 512 Dec 31, 2015 588 Dec 31, 2016 642 Dec 31, 2017 664 Dec 31, 2018 648 Dec 31, 2019 643

Vega-Lite specification:
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Chart description: Over the three year period 2009 to 2012 Nike slowly closed down their non-US retail stores.

Chart data: Year Hurley stores Dec 31, 2008 1 Dec 31, 2009 1 Dec 31, 2010 1 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 0 Dec 31, 2018 0 Dec 31, 2019 0

Vega-Lite specification:
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Chart description: passenger car production increased rapidly by around 50% from 40,000,000 to 60,000,000 in the 10 year period from 2000 to 2010 with a significant dip around 2008 before starting to continue its increase peaking in 2017 before a pattern of decline which was continuing up until 2020 (the data in the current chart).

Chart data: Year Worldwide Dec 31, 1997 37236644 Dec 31, 1998 39759847 Dec 31, 1999 41215653 Dec 31, 2000 39825888 Dec 31, 2001 41358394 Dec 31, 2002 41968666 Dec 31, 2003 44554268 Dec 31, 2004 46862978 Dec 31, 2005 49918578 Dec 31, 2006 53201346 Dec 31, 2007 52726117 Dec 31, 2008 47772598 Dec 31, 2009 58264852 Dec 31, 2010 59897746 Dec 31, 2011 63069541 Dec 31, 2012 65638451 Dec 31, 2013 67782035 Dec 31, 2014 68604137 Dec 31, 2015 72388433 Dec 31, 2016 73456531 Dec 31, 2017 71750946 Dec 31, 2018 67149196

Vega-Lite specification:
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