delen/vistext huggingface dataset:
Chart description: The line diagram shows a near-total stop in movement between 3 March 2020 and April 2020, falling to just under 0.1. The line begins to increase between April 2020 and July 2020, rising to a peak of 0.7. The line then dips before rising sharply during August and September, rising to nearly 0.9 just before October 2020. The line then begins to plummet again from October 2020, dropping to 0.3 in approximately November before rising slightly to about 0.4 by December 2020.

Chart data: Response Paris Mar 02, 2020 1.01 Mar 09, 2020 0.88 Mar 16, 2020 0.15 Mar 23, 2020 0.06 Mar 30, 2020 0.06 Apr 06, 2020 0.05 Apr 13, 2020 0.06 Apr 20, 2020 0.06 Apr 27, 2020 0.07 May 04, 2020 0.08 May 11, 2020 0.22 May 18, 2020 0.28 May 25, 2020 0.32 Jun 01, 2020 0.48 Jun 08, 2020 0.48 Jun 15, 2020 0.57 Jun 22, 2020 0.64 Jun 29, 2020 0.68 Jul 06, 2020 0.71 Jul 13, 2020 0.56 Jul 20, 2020 0.68 Jul 27, 2020 0.65 Aug 03, 2020 0.54 Aug 10, 2020 0.48 Aug 17, 2020 0.52 Aug 24, 2020 0.61 Aug 31, 2020 0.78 Sep 07, 2020 0.88 Sep 14, 2020 0.88 Sep 21, 2020 0.9 Sep 28, 2020 0.84 Oct 05, 2020 0.81 Oct 12, 2020 0.8 Oct 19, 2020 0.7 Oct 26, 2020 0.67 Nov 02, 2020 0.29 Nov 09, 2020 0.3 Nov 16, 2020 0.31 Nov 23, 2020 0.32 Nov 30, 2020 0.43 Dec 07, 2020 0.45

Vega-Lite specification:
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Chart description: The graph of the mobility of the coronavirus outbreak shows that there was a significant drop in mobility from March 2020 to June 2020, but a slight increase from July 2020 to August 2020 and continued to increase each month after.

Chart data: Response Manchester Mar 02, 2020 0.98 Mar 09, 2020 0.93 Mar 16, 2020 0.47 Mar 23, 2020 0.16 Mar 30, 2020 0.1 Apr 06, 2020 0.1 Apr 13, 2020 0.1 Apr 20, 2020 0.1 Apr 27, 2020 0.08 May 04, 2020 0.09 May 11, 2020 0.1 May 18, 2020 0.13 May 25, 2020 0.15 Jun 01, 2020 0.17 Jun 08, 2020 0.16 Jun 15, 2020 0.17 Jun 22, 2020 0.22 Jun 29, 2020 0.23 Jul 06, 2020 0.27 Jul 13, 2020 0.31 Jul 20, 2020 0.31 Jul 27, 2020 0.35 Aug 03, 2020 0.33 Aug 10, 2020 0.38 Aug 17, 2020 0.4 Aug 24, 2020 0.4 Aug 31, 2020 0.47 Sep 07, 2020 0.53 Sep 14, 2020 0.57 Sep 21, 2020 0.62 Sep 28, 2020 0.56 Oct 05, 2020 0.51 Oct 12, 2020 0.53 Oct 19, 2020 0.49 Oct 26, 2020 0.44 Nov 02, 2020 0.54 Nov 09, 2020 0.35 Nov 16, 2020 0.35 Nov 23, 2020 0.34 Nov 30, 2020 0.37 Dec 07, 2020 0.41

Vega-Lite specification:
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Chart description: The Gross gambling yield shows an increase over time. April 17-March 18 shows the highest gross gambling yield. April 09-March 10 shows the lowest gross gambling yield. Most years show a gross gambling yield of over £1,000.

Chart data: Casinos Month 1052.74 Oct 18 - Sep 19 1058.82 Apr 18 - Mar 19 1180.72 Apr 17 - Mar 18 1163.54 Apr 16 - Mar 17 998.38 Apr 15 - Mar 16 1159.79 Apr 14 - Mar 15 1111.06 Apr 13 - Mar 14 961.41 Apr 12 - Mar 13 872.8 Apr 11 - Mar 12 797.43 Apr 10 - Mar 11 751.13 Apr 09 - Mar 10

Vega-Lite specification:
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Chart description: The tre is for the gross gambling yield to remain over 600 but below 700 million pounds in Bingo income.

Chart data: Month Bingo Oct 18 - Sep 19 668.95 Apr 18 - Mar 19 673.31 Apr 17 - Mar 18 680.12 Apr 16 - Mar 17 684.28 Apr 15 - Mar 16 693.11 Apr 14 - Mar 15 679.02 Apr 13 - Mar 14 673.44 Apr 12 - Mar 13 700.9 Apr 11 - Mar 12 680.64 Apr 10 - Mar 11 625.58 Apr 09 - Mar 10 627.22

Vega-Lite specification:
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Chart description: Gross gambling yield derived from bingo by the gambling industry in Great Britain remained relatively stable from 2009 or 2019, staying within the 600 million to 700 million GBP range. GGY remained constant from April 2009 to March 2010. GGY increased in each of the next two years. GGY peaked in the April 2012 to March 2013 financial year. GGY dropped again in the April 2013 to March 2014 financial year. GGY increased gradually and steadily in the next two years, experiencing a second, lower peak in the April 2015 to March 2016 financial year, before decreasing steadily in all subsequent years.

Chart data: Month Bingo Oct 18 - Sep 19 668.95 Apr 18 - Mar 19 673.31 Apr 17 - Mar 18 680.12 Apr 16 - Mar 17 684.28 Apr 15 - Mar 16 693.11 Apr 14 - Mar 15 679.02 Apr 13 - Mar 14 673.44 Apr 12 - Mar 13 700.9 Apr 11 - Mar 12 680.64 Apr 10 - Mar 11 625.58 Apr 09 - Mar 10 627.22

Vega-Lite specification:
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Chart description: As of April 9 to March 10 and oct 18 to September 19, there were 500 arcades that were involved with the gambling industry and the dates in between were fluctuating.

Chart data: Arcades Month 461.72 Oct 18 - Sep 19 435.93 Apr 18 - Mar 19 424.48 Apr 17 - Mar 18 424.93 Apr 16 - Mar 17 418.06 Apr 15 - Mar 16 387.22 Apr 14 - Mar 15 379.11 Apr 13 - Mar 14 358.71 Apr 12 - Mar 13 381.06 Apr 11 - Mar 12 392 Apr 10 - Mar 11 455.96 Apr 09 - Mar 10

Vega-Lite specification:
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Chart description: For 9 years there has been consistently more than 1,000 boss participating in US softball.

Chart data: Year Boys 2018/19 2183 2017/18 1589 2016/17 1329 2015/16 1468 2014/15 1425 2013/14 1414 2012/13 1456 2011/12 1376 2010/11 1522 2009/10 1802

Vega-Lite specification:
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Chart description: The highest number US highschool girls softball fast pitch was in 2009/10. The lowest number of highschool girls softball, fast pitch was in 2012/13 which was repeated in 2018/19.

Chart data: Year Girls 2018/19 362038 2017/18 367861 2016/17 367405 2015/16 366685 2014/15 364103 2013/14 364297 2012/13 362488 2011/12 367023 2010/11 373535 2009/10 378211

Vega-Lite specification:
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Chart description: The number of girls participating in softball has not changed much over the years.

Chart data: Year Girls 2018/19 362038 2017/18 367861 2016/17 367405 2015/16 366685 2014/15 364103 2013/14 364297 2012/13 362488 2011/12 367023 2010/11 373535 2009/10 378211

Vega-Lite specification:
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Chart description: the top 3 grossing movies are the last jedi, joint second is episode 9 and the star wars story third place the force awakens. The last 42 years star wars has grossed 1.7b in production costs and revenue generated. the most recent 3 movies are the most successfull in the shortest time period in the franchises history. There was historically a high result in first gross revenue followed by a steep decline in attendance and expenditure then a 50-70% increase in overall gross towards the end of the franchise in these records.

Chart data: Star Wars movies Production costs Star Wars: The Force Awakens 245 Star Wars: The Last Jedi* 317 Star Wars: Episode IX - The Rise of Skywalker 275 Rogue One: A Star Wars Story 200 Star Wars Episode I: The Phantom Menace 115 Star Wars Episode III: Revenge of the Sith 113 Star Wars Episode IV: A New Hope 11 Star Wars Episode II: Attack of the Clones 115 Star Wars Episode V: The Empire Strikes Back 18 Star Wars Episode VI: Return of the Jedi 32.5 Solo: A Star Wars Story* 275

Vega-Lite specification:
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Chart description: It's not clear to me what the x-axis represents, so I'm assuming it corresponds to box off revenue. The bar chart seems to show that the films with the highest production costs give rise to the lowest and highest box revenues (i.e. the extremes of the distribution).

Chart data: Star Wars movies Production costs Star Wars: The Force Awakens 245 Star Wars: The Last Jedi* 317 Star Wars: Episode IX - The Rise of Skywalker 275 Rogue One: A Star Wars Story 200 Star Wars Episode I: The Phantom Menace 115 Star Wars Episode III: Revenge of the Sith 113 Star Wars Episode IV: A New Hope 11 Star Wars Episode II: Attack of the Clones 115 Star Wars Episode V: The Empire Strikes Back 18 Star Wars Episode VI: Return of the Jedi 32.5 Solo: A Star Wars Story* 275

Vega-Lite specification:
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Chart description: Sudan's share of economic sectors in the GPD peaked in 2016 and has been decreasing ever since, reaching an all-time low of 0.3% in 2019.

Chart data: Year Services Dec 31, 2008 0.462 Dec 31, 2009 0.4113 Dec 31, 2010 0.4182 Dec 31, 2011 0.4082 Dec 31, 2012 0.3991 Dec 31, 2013 0.4543 Dec 31, 2014 0.4267 Dec 31, 2015 0.547 Dec 31, 2016 0.5119 Dec 31, 2017 0.4329 Dec 31, 2018 0.3234

Vega-Lite specification:
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Chart description: The lowest amount of 18-24 year old voters was 1995-2000.

Chart data: Year 18-24** Dec 31, 1963 0.509 Dec 31, 1967 0.504 Dec 31, 1971 0.496 Dec 31, 1975 0.422 Dec 31, 1979 0.399 Dec 31, 1983 0.408 Dec 31, 1987 0.362 Dec 31, 1991 0.428 Dec 31, 1995 0.324 Dec 31, 1999 0.323 Dec 31, 2003 0.419 Dec 31, 2007 0.443 Dec 31, 2011 0.38 Dec 31, 2015 0.394

Vega-Lite specification:
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Chart description: 2016 shows the lowest amount of voters in the 45-64 age group, whereas 1964 shows the most amount of voters.

Chart data: Year 45-64 Dec 31, 1963 0.759 Dec 31, 1967 0.749 Dec 31, 1971 0.708 Dec 31, 1975 0.687 Dec 31, 1979 0.693 Dec 31, 1983 0.698 Dec 31, 1987 0.679 Dec 31, 1991 0.7 Dec 31, 1995 0.644 Dec 31, 1999 0.641 Dec 31, 2003 0.666 Dec 31, 2007 0.65 Dec 31, 2011 0.634 Dec 31, 2015 0.617

Vega-Lite specification:
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Chart description: The GDP fluctuates over the years, there is no steady increase or decrease, the highest point is in 2017 and the lowest point is in 2019. The GDP ends at under 0.25, where it started, so it has decreased over the 10 years.

Chart data: Year Agriculture Dec 31, 2008 0.2528 Dec 31, 2009 0.2423 Dec 31, 2010 0.2375 Dec 31, 2011 0.2467 Dec 31, 2012 0.2483 Dec 31, 2013 0.2459 Dec 31, 2014 0.2388 Dec 31, 2015 0.2505 Dec 31, 2016 0.2635 Dec 31, 2017 0.2464 Dec 31, 2018 0.2407

Vega-Lite specification:
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Chart description: The chart shows that agriculture forms a pretty consistent 0.25% of Rwanda’s GDP, suggestive of a sector that rises and Falls in line with the overall economy. There is some small natural variance of 0.03% (around 10%) growth and shrinkage bit again this would suggest natural variability.

Chart data: Year Agriculture Dec 31, 2008 0.2528 Dec 31, 2009 0.2423 Dec 31, 2010 0.2375 Dec 31, 2011 0.2467 Dec 31, 2012 0.2483 Dec 31, 2013 0.2459 Dec 31, 2014 0.2388 Dec 31, 2015 0.2505 Dec 31, 2016 0.2635 Dec 31, 2017 0.2464 Dec 31, 2018 0.2407

Vega-Lite specification:
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Chart description: This line/area graph shows that Rwanda's share of economic sectors have a natural increase and decrease between the years of 2010 to 2016 which is expected, There is a spike in 2017 with the shares reaching above 0.25 which in the following years had been the highest amount of shares.

Chart data: Year Agriculture Dec 31, 2008 0.2528 Dec 31, 2009 0.2423 Dec 31, 2010 0.2375 Dec 31, 2011 0.2467 Dec 31, 2012 0.2483 Dec 31, 2013 0.2459 Dec 31, 2014 0.2388 Dec 31, 2015 0.2505 Dec 31, 2016 0.2635 Dec 31, 2017 0.2464 Dec 31, 2018 0.2407

Vega-Lite specification:
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Chart description: Year 2010 seems to be the highest with over 0.30. Year 2016 seems to be the lowest with around 0.25.

Chart data: Year Agriculture Dec 31, 2008 0.3043 Dec 31, 2009 0.2961 Dec 31, 2010 0.2877 Dec 31, 2011 0.2829 Dec 31, 2012 0.2867 Dec 31, 2013 0.287 Dec 31, 2014 0.2748 Dec 31, 2015 0.2593 Dec 31, 2016 0.261 Dec 31, 2017 0.2633 Dec 31, 2018 0.2554

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/1459.tsv"}, "mark": "area", "encoding": {"color": {"value": "#000000"}, "x": {"type": "temporal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Agriculture"}, "field": "Agriculture"}}, "title": ["Malawi : Share of economic sectors in the", "gross domestic product (GDP) from 2009 to", "2019"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The share of economic sectors in industry has declined over the 10 yearsReducing rapidly in the last year.

Chart data: Year Industry Dec 31, 2008 0.1533 Dec 31, 2009 0.1521 Dec 31, 2010 0.1541 Dec 31, 2011 0.1503 Dec 31, 2012 0.1478 Dec 31, 2013 0.1465 Dec 31, 2014 0.1481 Dec 31, 2015 0.1465 Dec 31, 2016 0.1435 Dec 31, 2017 0.1392 Dec 31, 2018 0.1292

Vega-Lite specification:
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Chart description: The road has been increasing since 1980 and reached 10000 in around 2000. Since around 2005, the road increased more significantly and reached 30000 after 2010, and reached its peak at around 40000 in 2018.

Chart data: Year Road Dec 31, 1979 3820.48 Dec 31, 1984 5380.62 Dec 31, 1989 7240.4 Dec 31, 1994 9403.87 Dec 31, 1999 10388.13 Dec 31, 2004 13417.78 Dec 31, 2009 24480.52 Dec 31, 2010 28201 Dec 31, 2011 31884.75 Dec 31, 2012 30766.48 Dec 31, 2013 31133.34 Dec 31, 2014 31500.19 Dec 31, 2015 33412.59 Dec 31, 2016 36868.58 Dec 31, 2017 39568.71

Vega-Lite specification:
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Chart description: There is a huge increase of freight traffic from 2000 onwards.

Chart data: Year Water Dec 31, 1979 426.76 Dec 31, 1984 633.22 Dec 31, 1989 800.94 Dec 31, 1994 1131.94 Dec 31, 1999 1223.91 Dec 31, 2004 2196.48 Dec 31, 2009 3789.49 Dec 31, 2010 4259.68 Dec 31, 2011 4587.05 Dec 31, 2012 5597.85 Dec 31, 2013 5982.83 Dec 31, 2014 6135.67 Dec 31, 2015 6382.38 Dec 31, 2016 6678.46 Dec 31, 2017 7026.84

Vega-Lite specification:
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Chart description: sharp increase from below 1 million metric tons to almost 8 million metric tons from the 1980s to 2018.

Chart data: Year Air Dec 31, 1979 0.09 Dec 31, 1984 0.2 Dec 31, 1989 0.37 Dec 31, 1994 1.01 Dec 31, 1999 1.97 Dec 31, 2004 3.07 Dec 31, 2009 5.63 Dec 31, 2010 5.58 Dec 31, 2011 5.45 Dec 31, 2012 5.61 Dec 31, 2013 5.94 Dec 31, 2014 6.29 Dec 31, 2015 6.68 Dec 31, 2016 7.06 Dec 31, 2017 7.7

Vega-Lite specification:
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Chart description: There has been a steady rise in freight traffic in China.

Chart data: Year Air Dec 31, 1979 0.09 Dec 31, 1984 0.2 Dec 31, 1989 0.37 Dec 31, 1994 1.01 Dec 31, 1999 1.97 Dec 31, 2004 3.07 Dec 31, 2009 5.63 Dec 31, 2010 5.58 Dec 31, 2011 5.45 Dec 31, 2012 5.61 Dec 31, 2013 5.94 Dec 31, 2014 6.29 Dec 31, 2015 6.68 Dec 31, 2016 7.06 Dec 31, 2017 7.7

Vega-Lite specification:
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Chart description: Portugal's revenue and spending has increased year on year with increments of around 10 billion euros each year. It looks as though it will continue to rise at this level year on year as the graph shows reliable steady increase at each year. Peaking at an estimated 120 billion euros for 2024.

Chart data: Year Revenue 2024* 106.67 2023* 103.34 2022* 100.07 2021* 97.87 2020* 93.94 2019* 90.86 2018 87.71 2017 83.11 2016 79.89 2015 78.75 2014 77.2

Vega-Lite specification:
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Chart description: Normay is the only data point in this graph and they used over 1500 metric tons of gas in 2019.

Chart data: Natural gas Country 1697 Norway

Vega-Lite specification:
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Chart description: The rate of employment in the industrial sector in Brazil in 2020 was approximately the same as in 2000. It increased between 2012 to 2014. It decreased between 2014 and 2016.

Chart data: Year Industry Dec 31, 2009 0.1849 Dec 31, 2010 0.1795 Dec 31, 2011 0.1752 Dec 31, 2012 0.1908 Dec 31, 2013 0.1996 Dec 31, 2014 0.1966 Dec 31, 2015 0.1863 Dec 31, 2016 0.1855 Dec 31, 2017 0.1853 Dec 31, 2018 0.1832 Dec 31, 2019 0.1815

Vega-Lite specification:
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