delen/vistext huggingface dataset:
Chart description: The overall trend points at a decreasing share of economic sectors in GDP. Only during 2009-11 and 2016-18 we see an increase. These, however, seem less sharp than the changes shown by the decreasing periods.

Chart data: Year Industry Dec 31, 2008 0.2781 Dec 31, 2009 0.2916 Dec 31, 2010 0.295 Dec 31, 2011 0.2873 Dec 31, 2012 0.2771 Dec 31, 2013 0.2669 Dec 31, 2014 0.2463 Dec 31, 2015 0.2389 Dec 31, 2016 0.2415 Dec 31, 2017 0.2432 Dec 31, 2018 0.2328

Vega-Lite specification:
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Chart description: Since 2017 the share of the GDP contributed by the agriculture sector has declined significantly. Prior to 2015 the level of the contribution was relatively stable and consistent.

Chart data: Year Agriculture Dec 31, 2008 0.0229 Dec 31, 2009 0.022 Dec 31, 2010 0.0228 Dec 31, 2011 0.0225 Dec 31, 2012 0.0228 Dec 31, 2013 0.0222 Dec 31, 2014 0.0237 Dec 31, 2015 0.024 Dec 31, 2016 0.027 Dec 31, 2017 0.0246 Dec 31, 2018 0.0209

Vega-Lite specification:
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Chart description: There has been a decrease in GDP from 2017-19The only time GDP was greater than 0.025 was between 2016-18GDP did not fall below 0.020 between 2009-19.

Chart data: Year Agriculture Dec 31, 2008 0.0229 Dec 31, 2009 0.022 Dec 31, 2010 0.0228 Dec 31, 2011 0.0225 Dec 31, 2012 0.0228 Dec 31, 2013 0.0222 Dec 31, 2014 0.0237 Dec 31, 2015 0.024 Dec 31, 2016 0.027 Dec 31, 2017 0.0246 Dec 31, 2018 0.0209

Vega-Lite specification:
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Chart description: Distribution of GDP is fairly stable across agricultural sector over the researched period except small spike at 2017.

Chart data: Year Agriculture Dec 31, 2008 0.0229 Dec 31, 2009 0.022 Dec 31, 2010 0.0228 Dec 31, 2011 0.0225 Dec 31, 2012 0.0228 Dec 31, 2013 0.0222 Dec 31, 2014 0.0237 Dec 31, 2015 0.024 Dec 31, 2016 0.027 Dec 31, 2017 0.0246 Dec 31, 2018 0.0209

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/234.tsv"}, "mark": "area", "encoding": {"color": {"value": "#f1e2cc"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Agriculture"}, "field": "Agriculture"}}, "title": ["Australia : 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 year with the highest proportion of GDP from industry was 2009 with roughly 0.28. The year with the lowest amount of GDP from industry was 2016 with approximately 0.225. Proportion of GDP from industry generally decreased from 2011 until 2016 before steadily increasing again.

Chart data: Year Industry Dec 31, 2008 0.27 Dec 31, 2009 0.2515 Dec 31, 2010 0.2644 Dec 31, 2011 0.2628 Dec 31, 2012 0.2513 Dec 31, 2013 0.2551 Dec 31, 2014 0.2364 Dec 31, 2015 0.2228 Dec 31, 2016 0.2343 Dec 31, 2017 0.2412 Dec 31, 2018 0.252

Vega-Lite specification:
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Chart description: Distribution has been more or less steady. Between 2014 an 2016, there was a bigger raise in GDP when compared to the other years.

Chart data: Year Services Dec 31, 2008 0.6414 Dec 31, 2009 0.6574 Dec 31, 2010 0.6473 Dec 31, 2011 0.6528 Dec 31, 2012 0.6633 Dec 31, 2013 0.6576 Dec 31, 2014 0.6729 Dec 31, 2015 0.6828 Dec 31, 2016 0.6708 Dec 31, 2017 0.6671 Dec 31, 2018 0.6615

Vega-Lite specification:
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Chart description: Distribution of GDP has been consistent in the period of 2009-2019. There had been a slight fluctuation, but it typically corrects itself.

Chart data: Year Services Dec 31, 2008 0.6414 Dec 31, 2009 0.6574 Dec 31, 2010 0.6473 Dec 31, 2011 0.6528 Dec 31, 2012 0.6633 Dec 31, 2013 0.6576 Dec 31, 2014 0.6729 Dec 31, 2015 0.6828 Dec 31, 2016 0.6708 Dec 31, 2017 0.6671 Dec 31, 2018 0.6615

Vega-Lite specification:
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Chart description: This shows that the net sales rose significantly between 2010 and 2014 but then significantly decreased after 2014.

Chart data: Year Agribusiness Dec 31, 2009 30057 Dec 31, 2010 38844 Dec 31, 2011 44561 Dec 31, 2012 45507 Dec 31, 2013 42109 Dec 31, 2014 31267 Dec 31, 2015 30061 Dec 31, 2016 31741 Dec 31, 2017 32206 Dec 31, 2018 28407

Vega-Lite specification:
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Chart description: Bunge limited net sales in 2010 started on 1650. It then steeply rose to 2000 in 2011 before decreasing slightly to 1800 in 2012. There was then a sharp increase leading to the highest number of sales in the set period of 2100 in 2014.  In 2014 sales dropped to 1600 then remained fairly steady, remaining between 1600-1750 until 2019.

Chart data: Year Milling Products Dec 31, 2009 1605 Dec 31, 2010 2006 Dec 31, 2011 1833 Dec 31, 2012 2012 Dec 31, 2013 2064 Dec 31, 2014 1609 Dec 31, 2015 1647 Dec 31, 2016 1575 Dec 31, 2017 1691 Dec 31, 2018 1739

Vega-Lite specification:
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Chart description: There was a rapid decline in sales within a year from 2010 to 2011 of 450. Overall, from the period 2010 to 2019, sales have dropped by 500, however from 2018 there is a gradual rise.

Chart data: Year Fertilizer Dec 31, 2009 1053 Dec 31, 2010 566 Dec 31, 2011 466 Dec 31, 2012 448 Dec 31, 2013 474 Dec 31, 2014 386 Dec 31, 2015 403 Dec 31, 2016 406 Dec 31, 2017 460 Dec 31, 2018 520

Vega-Lite specification:
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Chart description: Product quality is the most important factor. This is followed by product description and price, so all of these have an influence. The online shop image and options seemed to have much less effect on the consumer choice.

Chart data: Response Very important Product quality 0.71 Detailed product descriptions 0.6 Prices 0.59 Transparent and simple return policy 0.56 Available payment methods 0.56 Product range 0.46 Free shipping 0.42 Information on returns directly during payment 0.43 Online shop image 0.35 Customer ratings 0.35 Quality seals 0.29 Shipping service options 0.24 Degree of online shop awareness 0.21

Vega-Lite specification:
{"config": {"range": {"category": ["#393b79", "#5254a3", "#6b6ecf", "#9c9ede", "#637939", "#8ca252", "#b5cf6b", "#cedb9c", "#8c6d31", "#bd9e39", "#e7ba52", "#e7cb94", "#843c39", "#ad494a", "#d6616b", "#e7969c", "#7b4173", "#a55194", "#ce6dbd", "#de9ed6"]}}, "data": {"url": "multiColumn/data/2359.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#5254a3"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Very important"}, "field": "Very important"}}, "title": ["In your opinion , how important are the", "following criteria when choosing an online", "shop ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Product quality was the most important criteria whereas degree of online shop awareness was the least important quality.

Chart data: Response Very important Product quality 0.71 Detailed product descriptions 0.6 Prices 0.59 Transparent and simple return policy 0.56 Available payment methods 0.56 Product range 0.46 Free shipping 0.42 Information on returns directly during payment 0.43 Online shop image 0.35 Customer ratings 0.35 Quality seals 0.29 Shipping service options 0.24 Degree of online shop awareness 0.21

Vega-Lite specification:
{"config": {"range": {"category": ["#393b79", "#5254a3", "#6b6ecf", "#9c9ede", "#637939", "#8ca252", "#b5cf6b", "#cedb9c", "#8c6d31", "#bd9e39", "#e7ba52", "#e7cb94", "#843c39", "#ad494a", "#d6616b", "#e7969c", "#7b4173", "#a55194", "#ce6dbd", "#de9ed6"]}}, "data": {"url": "multiColumn/data/2359.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#5254a3"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Very important"}, "field": "Very important"}}, "title": ["In your opinion , how important are the", "following criteria when choosing an online", "shop ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The most important criteria to the customers was product quality. Prices, a transparent return policy and detailed product descriptions were then all fairly of equal importance but the most important after quality. Online shop awareness and shipping service options were the least important criteria.

Chart data: Response Very important Product quality 0.71 Detailed product descriptions 0.6 Prices 0.59 Transparent and simple return policy 0.56 Available payment methods 0.56 Product range 0.46 Free shipping 0.42 Information on returns directly during payment 0.43 Online shop image 0.35 Customer ratings 0.35 Quality seals 0.29 Shipping service options 0.24 Degree of online shop awareness 0.21

Vega-Lite specification:
{"config": {"range": {"category": ["#393b79", "#5254a3", "#6b6ecf", "#9c9ede", "#637939", "#8ca252", "#b5cf6b", "#cedb9c", "#8c6d31", "#bd9e39", "#e7ba52", "#e7cb94", "#843c39", "#ad494a", "#d6616b", "#e7969c", "#7b4173", "#a55194", "#ce6dbd", "#de9ed6"]}}, "data": {"url": "multiColumn/data/2359.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#5254a3"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Response"}, "y": {"type": "quantitative", "axis": {"title": "Very important"}, "field": "Very important"}}, "title": ["In your opinion , how important are the", "following criteria when choosing an online", "shop ?"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The GDP HAS REMAINED QUITE SIMILAR IN THE ENTIRE LENGTH OF TIME IT HAS BEEN DOCUMENTED.

Chart data: Year Agriculture Dec 31, 2008 0.0182 Dec 31, 2009 0.0189 Dec 31, 2010 0.0214 Dec 31, 2011 0.0196 Dec 31, 2012 0.0197 Dec 31, 2013 0.0202 Dec 31, 2014 0.021 Dec 31, 2015 0.02 Dec 31, 2016 0.0185 Dec 31, 2017 0.0211 Dec 31, 2018 0.0198

Vega-Lite specification:
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Chart description: Employment in the agriculture sector has been of a slow and steady decrease the entire time. The decrease has sped up by about a half since 2015.

Chart data: Year Agriculture Dec 31, 2009 0.1469 Dec 31, 2010 0.1464 Dec 31, 2011 0.1456 Dec 31, 2012 0.1449 Dec 31, 2013 0.1446 Dec 31, 2014 0.144 Dec 31, 2015 0.1418 Dec 31, 2016 0.14 Dec 31, 2017 0.138 Dec 31, 2018 0.1361 Dec 31, 2019 0.1339

Vega-Lite specification:
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Chart description: In the chart, this shows a downward trend of the distribution of employment in the Agricultural sector, this shows me that less people are being employed in the sector, which might mean less farm jobs available or needed.

Chart data: Year Agriculture Dec 31, 2009 0.1469 Dec 31, 2010 0.1464 Dec 31, 2011 0.1456 Dec 31, 2012 0.1449 Dec 31, 2013 0.1446 Dec 31, 2014 0.144 Dec 31, 2015 0.1418 Dec 31, 2016 0.14 Dec 31, 2017 0.138 Dec 31, 2018 0.1361 Dec 31, 2019 0.1339

Vega-Lite specification:
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Chart description: Between 2010 and 2018 there has been a slight decline in agriculture employment in Azerbaijan.

Chart data: Year Agriculture Dec 31, 2009 0.3823 Dec 31, 2010 0.3788 Dec 31, 2011 0.3765 Dec 31, 2012 0.371 Dec 31, 2013 0.3675 Dec 31, 2014 0.3636 Dec 31, 2015 0.3634 Dec 31, 2016 0.3635 Dec 31, 2017 0.3626 Dec 31, 2018 0.3587 Dec 31, 2019 0.3551

Vega-Lite specification:
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Chart description: homelessness is increasing over the four major cities.

Chart data: Year Living in one of the four major cities Dec 31, 2008 6.5 Dec 31, 2009 9.5 Dec 31, 2010 9.7 Dec 31, 2011 12.4 Dec 31, 2012 9.8 Dec 31, 2013 10.4 Dec 31, 2014 12.6 Dec 31, 2015 13 Dec 31, 2016 12.6 Dec 31, 2017 14.6

Vega-Lite specification:
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Chart description: The number of KPMG employees in the Americas has increased by more than 1/3 between 2010 and 2019. Rate of increase has been relatively steady throughout this time period.

Chart data: Region Americas Dec 31, 2009 36059 Dec 31, 2010 38194 Dec 31, 2011 41320 Dec 31, 2012 42544 Dec 31, 2013 45181 Dec 31, 2014 49578 Dec 31, 2015 54111 Dec 31, 2016 55856 Dec 31, 2017 57447 Dec 31, 2018 61169

Vega-Lite specification:
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Chart description: The number of employees of KPMG has steadily increased from 2010 to about 45000 in 2019 in the Asia Pacific region.

Chart data: Region Asia Pacific Dec 31, 2009 31039 Dec 31, 2010 32089 Dec 31, 2011 32690 Dec 31, 2012 32042 Dec 31, 2013 32867 Dec 31, 2014 35274 Dec 31, 2015 38467 Dec 31, 2016 40645 Dec 31, 2017 43207 Dec 31, 2018 46175

Vega-Lite specification:
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Chart description: motor vehicle production in the United States in the aforementioned period has been decreasing steadily following a small increase around 1980 and an average increase circa 2010.

Chart data: Year Cars* Dec 31, 1974 0.807 Dec 31, 1975 0.789 Dec 31, 1976 0.801 Dec 31, 1977 0.775 Dec 31, 1978 0.779 Dec 31, 1979 0.835 Dec 31, 1980 0.828 Dec 31, 1981 0.805 Dec 31, 1982 0.78 Dec 31, 1983 0.765 Dec 31, 1984 0.752 Dec 31, 1985 0.721 Dec 31, 1986 0.728 Dec 31, 1987 0.709 Dec 31, 1988 0.701 Dec 31, 1989 0.704 Dec 31, 1990 0.696 Dec 31, 1991 0.686 Dec 31, 1992 0.676 Dec 31, 1993 0.619 Dec 31, 1994 0.635 Dec 31, 1995 0.622 Dec 31, 1996 0.601 Dec 31, 1997 0.583 Dec 31, 1998 0.583 Dec 31, 1999 0.588 Dec 31, 2000 0.586 Dec 31, 2001 0.552 Dec 31, 2002 0.539 Dec 31, 2003 0.52 Dec 31, 2004 0.556 Dec 31, 2005 0.579 Dec 31, 2006 0.589 Dec 31, 2007 0.593 Dec 31, 2008 0.67 Dec 31, 2009 0.628 Dec 31, 2010 0.578 Dec 31, 2011 0.644 Dec 31, 2012 0.641 Dec 31, 2013 0.593 Dec 31, 2014 0.574 Dec 31, 2015 0.553 Dec 31, 2016 0.525 Dec 31, 2017 0.479 Dec 31, 2018 0.498

Vega-Lite specification:
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Chart description: It is hard to see a pattern because of how the months are in alphabetical order. The lowest sales are in February and the highest in august.

Chart data: Month 2015 De  78.24; Month: Dec No  77.28; Month: Nov Oc  73.28; Month: Oct Se  81.34; Month: Sep Au  89.41; Month: Aug Ju  68.84; Month: Jul Ju  63.5; Month: Jun Ma  77.28; Month: May Ap  60.94; Month: Apr Ma  59.68; Month: Mar Fe  53.96; Month: Feb Ja  55.05; Month: Jan

Vega-Lite specification:
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Chart description: It is not possible to give an explanation as the graph does not give enough information and makes no sense.

Chart data: Year 0-14 years Dec 31, 2008 0.1344 Dec 31, 2009 0.1335 Dec 31, 2010 0.1331 Dec 31, 2011 0.1324 Dec 31, 2012 0.1317 Dec 31, 2013 0.1308 Dec 31, 2014 0.1299 Dec 31, 2015 0.1291 Dec 31, 2016 0.1281 Dec 31, 2017 0.127 Dec 31, 2018 0.1257

Vega-Lite specification:
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Chart description: The age distribution in Japan is decreasing as time goes on. In 2009 the distribution was over 0.6 but in ten years it has fallen below 0.6. In 2015 the age distribution was 0.6.

Chart data: Year 15-64 years Dec 31, 2008 0.6473 Dec 31, 2009 0.6415 Dec 31, 2010 0.6354 Dec 31, 2011 0.6288 Dec 31, 2012 0.6221 Dec 31, 2013 0.6157 Dec 31, 2014 0.6099 Dec 31, 2015 0.6049 Dec 31, 2016 0.6008 Dec 31, 2017 0.5973 Dec 31, 2018 0.5942

Vega-Lite specification:
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Chart description: this chart show that Kansas city, Missouri has the highest download speeds and Henderson ,Alaska has the lowest in the given time frame.

Chart data: Upload city of the United States 127.03 Kansas City, Missouri 70.65 Austin, Texas 26.98 Lubbock, Texas 75.62 Raleigh, North Carolina 49.86 San Antonio, Texas 105.29 Lincoln, Nebraska 23.48 Henderson, Nevada 69.28 San Francisco, California 46.8 Boston, Massachusetts 58.93 Durham, North Carolina

Vega-Lite specification:
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Chart description: kansas city, Missouri has the fastest internet speed. Henderson, Nevada has the slowest speeds. all areas have speeds above 20mbps. the average is 60mbps.

Chart data: Upload city of the United States 127.03 Kansas City, Missouri 70.65 Austin, Texas 26.98 Lubbock, Texas 75.62 Raleigh, North Carolina 49.86 San Antonio, Texas 105.29 Lincoln, Nebraska 23.48 Henderson, Nevada 69.28 San Francisco, California 46.8 Boston, Massachusetts 58.93 Durham, North Carolina

Vega-Lite specification:
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Chart description: The visualisation shows the mean lowest income was at its highest in the year 1999 and 2019. It shows that he income was at its lowest in 1993 and 2013. It seems to show a recurring pattern each 10 years.

Chart data: Year Lowest quintile Dec 31, 1989 13633 Dec 31, 1990 13265 Dec 31, 1991 12997 Dec 31, 1992 12857 Dec 31, 1993 13201 Dec 31, 1994 13945 Dec 31, 1995 13991 Dec 31, 1996 14083 Dec 31, 1997 14499 Dec 31, 1998 15262 Dec 31, 1999 15121 Dec 31, 2000 14672 Dec 31, 2001 14236 Dec 31, 2002 13929 Dec 31, 2003 13899 Dec 31, 2004 13983 Dec 31, 2005 14430 Dec 31, 2006 14278 Dec 31, 2007 13874 Dec 31, 2008 13799 Dec 31, 2009 12919 Dec 31, 2010 12803 Dec 31, 2011 12818 Dec 31, 2012 12745 Dec 31, 2013 12622 Dec 31, 2014 13443 Dec 31, 2015 13789 Dec 31, 2016 13895 Dec 31, 2017 14024 Dec 31, 2018 15286

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/2408.tsv"}, "mark": "area", "encoding": {"color": {"value": "#ffbf79"}, "x": {"type": "temporal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"labelAngle": -60, "title": "Lowest quintile"}, "field": "Lowest quintile"}}, "title": ["Mean household income for the lowest quintile", "and the top 5 percent from 1990 to 2019 (in", "2019 U.S. dollars)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}