delen/vistext huggingface dataset:
Chart description: There seems to be no pattern with this data supply. The bars are totally inconsistent. The variation fromA negligible amount of teachers to an excess of 200,000 is crazy. Or appears so.

Chart data: state of India Number of teachers Andaman and Nicobar Islands 351 Andhra Pradesh 103554 Arunachal Pradesh 935 Assam 21564 Bihar 30582 Chandigarh 3237 Chhattisgarh 19049 Dadra and Nagar Haveli 193 Daman and Diu 182 Delhi 19676 Goa 2704 Gujarat 52109 Haryana 49438 Himachal Pradesh 11004 Jammu & Kashmir 10661 Jharkhand 9900 Karnataka 137458 Kerala 53230 Lakshadweep 33 Madhya Pradesh 70964 Maharashtra 163962 Manipur 5023 Meghalaya 3574 Mizoram 1658 Nagaland 2029 Odisha 41852 Puducherry 6855 Punjab 52472 Rajasthan 73952 Sikkim 1410 Tamil Nadu 203843 Telangana 91932 Tripura 2375 Uttar Pradesh 157330 Uttarakhand 17729 West Bengal 50435

Vega-Lite specification:
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Chart description: EBay was the most visited webshop in Norway in 2016.

Chart data: Number of webshop visits most frequently visited webshops 33.69 eBay.com 22.49 Amazon.com 18.99 Komplett.no 15.22 Elkjøp.no 13.75 Apple.com 10.92 Norwegian.no 9.42 Viaplay.no 8.24 Ikea.com 7.96 Amazon.co.uk 7.34 Aliexpress.com

Vega-Lite specification:
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Chart description: I can see in the bar chart that eBay and Amazon are the most popular web shops in norway, rather than the native norweigen sites such as ‘Elkjøp.no in the graph.

Chart data: Number of webshop visits most frequently visited webshops 33.69 eBay.com 22.49 Amazon.com 18.99 Komplett.no 15.22 Elkjøp.no 13.75 Apple.com 10.92 Norwegian.no 9.42 Viaplay.no 8.24 Ikea.com 7.96 Amazon.co.uk 7.34 Aliexpress.com

Vega-Lite specification:
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Chart description: Harold Carmichael is the standout leader with a distance of 8,500 yards, a full 1,000 yards ahead of his nearest rival. The distance of 4,000 - 5,000 yards represents the most populated area on the chart with outliers of under 4,000 and over 5,000.

Chart data: Receiving yards Philadelphia Eagles all-time receiving leaders 8978 Harold Carmichael 7412 Pete Retzlaff 6464 Mike Quick 6431 DeSean Jackson 5921 Zach Ertz 5619 Pete Pihos 5499 Tommy McDonald 5363 Bobby Walston 4998 Brent Celek 4771 Jeremy Maclin 4764 Ben Hawkins 4634 Fred Barnett 3840 Calvin Williams 3790 Brian Westbrook 3646 Jason Avant 3532 Keith Byars 3493 Harold Jackson 3349 Charlie Smith 3346 Timmy Brown 3067 Irving Fryar

Vega-Lite specification:
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Chart description: The most abused drug by revenue is methylphenidate hci. Methylphenidate hci has a revenue in excess off 2,000 million US dollars. The least abused drug by revenue is US dollars is morphine suflate.

Chart data: Top 20 most abused prescription drugs Revenue in million U.S. dollars Methylphenidate HCl 2073 OxyContin (oxycondone HCl controled-release) 1390 Celecoxib 1246 Buprenorphine and naloxone 1026 Suboxone (buprenorphine and naloxone) 935 Concerta (methylphenidate HCl) 863 Celebrex (celecoxib capsule) 733 Fentanyl 560 Zolpidem tartrate 491 Celecox (celecoxib) 434.5 Adderall XR (amphetamine/dextroamphetamine) 363.8 Sertraline HCL 349 Hydromorphone HCl 316 Ambien (zolpidem tartrate) 304 Zoloft (sertraline HCl) 304 Methylphenidate ER 288 Duragesic (fentanyl transdermal system) 288 Ritalin/Focalin (methylphenidate HCl) 282 Subsys (fentanyl sublingual spray) 242.3 Morphine suflate 132

Vega-Lite specification:
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Chart description: The most abused prescription drug in the Us in 2016 has been methylphenidate HCI with morphine sulphate being used the least.

Chart data: Top 20 most abused prescription drugs Revenue in million U.S. dollars Methylphenidate HCl 2073 OxyContin (oxycondone HCl controled-release) 1390 Celecoxib 1246 Buprenorphine and naloxone 1026 Suboxone (buprenorphine and naloxone) 935 Concerta (methylphenidate HCl) 863 Celebrex (celecoxib capsule) 733 Fentanyl 560 Zolpidem tartrate 491 Celecox (celecoxib) 434.5 Adderall XR (amphetamine/dextroamphetamine) 363.8 Sertraline HCL 349 Hydromorphone HCl 316 Ambien (zolpidem tartrate) 304 Zoloft (sertraline HCl) 304 Methylphenidate ER 288 Duragesic (fentanyl transdermal system) 288 Ritalin/Focalin (methylphenidate HCl) 282 Subsys (fentanyl sublingual spray) 242.3 Morphine suflate 132

Vega-Lite specification:
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Chart description: according to the data depicted above, Vir Biotechnology has the highest venture financing at 500 million U.S. dollars. Most biotech venture financings are less than 200 million US Dollars in value.

Chart data: top U\.S\. biotech venture financings Value in million U.S. dollars ir Biotechnology I 500 armony Biosciences 270 omaLogic 163 ndigo 156 ullinan Oncology 150 ir Biotechnology II 150 ubius Therapeutics 120 pringWorks Therapeutics 103 ustang Bio 94.5 ritstone Oncology 92.7 elinta Therapeutics 90 omology Medicines 83.5

Vega-Lite specification:
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Chart description: Vir Biotechnology I is very obviously the highest value US biotech venture finance in 2017 with a value of 500 Million US dollars. The next highest is Harmony Biosciences with a value between 200-400 million US dollars and all the other venture finances sit below the 200 million US dollar line.

Chart data: top U\.S\. biotech venture financings Value in million U.S. dollars ir Biotechnology I 500 armony Biosciences 270 omaLogic 163 ndigo 156 ullinan Oncology 150 ir Biotechnology II 150 ubius Therapeutics 120 pringWorks Therapeutics 103 ustang Bio 94.5 ritstone Oncology 92.7 elinta Therapeutics 90 omology Medicines 83.5

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Chart description: The two Pittsburgh Pirates with the highest number of hits are Roberto Clemente and Honus Wagner, with 3,000 and just under 3,000 hits respectively. The Pittsburgh Pirates with the lowest number of hits are Bill Mazeroski and Arky Vaughan, each with around 1,500 hits.

Chart data: Number of hits Pittsburgh Pirates all-time hits leaders 3000 Roberto Clemente 2967 Honus Wagner 2868 Paul Waner 2416 Max Carey 2416 Pie Traynor 2317 Lloyd Waner 2232 Willie Stargell 2016 Bill Mazeroski 1709 Arky Vaughan 1638 Fred Clarke

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Chart description: THE MAXIMUM WAITING TIME WAS 15 MINUTES . THE MINIMUM WAITING TIME WAS 3 MINUTES.

Chart data: polyclinic Waiting time in minutes Ang Mo Kio 7 Bedok 15 Bukit Batok 7 Bukit Merah 7 Choa Chu Kang 3 Clementi 6 Geylang 6 Hougang 4 Jurong 4 Marine Parade 5 Outram 10 Pasir Ris 14 Pioneer 6 Punggol 5 Queenstown 11 Sengkang 11 Tampines 8 Toa Payoh 5 Woodlands 4 Yishun 5

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Chart description: There is a large variation in the earning of these celebrities with the highest at almost 3 billion rupees to the lowest at just under 1 billion. The lowest paid is a musician and the highest paid an actor.

Chart data: Best-paid Indian celebrities Earnings in billion Indian rupees Akshay Kumar (actor) 2.93 Virat Kohli (cricketer) 2.53 Amitabh Bachchan (actor) 2.39 Salman Khan (actor) 2.29 M.S. Dhoni (cricketer) 1.36 Shah Rukh Khan (actor) 1.24 Ranveer Singh (actor) 1.18 Rajinikanth (actor) 1 Pritam (musician) 0.98 A.R. Rahman (musician) 0.95

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Chart description: The prices have generally gone up, with flucuation- for example there was a slight dip in 2011, and there has been very little change from 2018 onwards.

Chart data: Year Prices in Brazilian reals per liter Dec 31, 2007 1.45 Dec 31, 2008 1.49 Dec 31, 2009 1.67 Dec 31, 2010 2 Dec 31, 2011 1.94 Dec 31, 2012 1.97 Dec 31, 2013 2.07 Dec 31, 2014 2.23 Dec 31, 2015 2.65 Dec 31, 2016 2.69 Dec 31, 2017 2.89 Dec 31, 2018 2.9

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Chart description: The Walt Disney company has the highest market share in France in 2019 whereas the Metropolitan Film export has the lowest.

Chart data: distributors of films Market share The Walt Disney Company 0.25 Warner Bros. 0.103 Universal Pictures International 0.079 Sony Pictures Home Entertainment 0.068 Pathé Films 0.054 UGC Distribution 0.049 SND 0.042 Gaumont 0.041 Twentieth Century Fox 0.04 Metropolitan FilmExport 0.034

Vega-Lite specification:
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Chart description: The Walt Disney company has the highest market share at 0.25%. Most of the companies have between 0.03% and 0.10% of the market share.

Chart data: distributors of films Market share The Walt Disney Company 0.25 Warner Bros. 0.103 Universal Pictures International 0.079 Sony Pictures Home Entertainment 0.068 Pathé Films 0.054 UGC Distribution 0.049 SND 0.042 Gaumont 0.041 Twentieth Century Fox 0.04 Metropolitan FilmExport 0.034

Vega-Lite specification:
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Chart description: The Walt Disney Company has the highest market share at 0.25.

Chart data: distributors of films Market share The Walt Disney Company 0.25 Warner Bros. 0.103 Universal Pictures International 0.079 Sony Pictures Home Entertainment 0.068 Pathé Films 0.054 UGC Distribution 0.049 SND 0.042 Gaumont 0.041 Twentieth Century Fox 0.04 Metropolitan FilmExport 0.034

Vega-Lite specification:
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Chart description: Over time, there is a steady increase in GDP between 2000 and 2015.

Chart data: Year Per capita real GDP in chained 2012 U.S. dollars Dec 31, 1999 34716 Dec 31, 2000 34897 Dec 31, 2001 35678 Dec 31, 2002 36801 Dec 31, 2003 38037 Dec 31, 2004 39439 Dec 31, 2005 40340 Dec 31, 2006 41856 Dec 31, 2007 41132 Dec 31, 2008 39978 Dec 31, 2009 40925 Dec 31, 2010 41585 Dec 31, 2011 41847 Dec 31, 2012 41866 Dec 31, 2013 42250 Dec 31, 2014 43544 Dec 31, 2015 42528 Dec 31, 2016 42784 Dec 31, 2017 43576 Dec 31, 2018 44145

Vega-Lite specification:
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Chart description: The gdp per capita was higher at the end than at the beginning. There were two peaks along the way but it dropped back afterwards.

Chart data: Year Per capita real GDP in chained 2012 U.S. dollars Dec 31, 1999 34716 Dec 31, 2000 34897 Dec 31, 2001 35678 Dec 31, 2002 36801 Dec 31, 2003 38037 Dec 31, 2004 39439 Dec 31, 2005 40340 Dec 31, 2006 41856 Dec 31, 2007 41132 Dec 31, 2008 39978 Dec 31, 2009 40925 Dec 31, 2010 41585 Dec 31, 2011 41847 Dec 31, 2012 41866 Dec 31, 2013 42250 Dec 31, 2014 43544 Dec 31, 2015 42528 Dec 31, 2016 42784 Dec 31, 2017 43576 Dec 31, 2018 44145

Vega-Lite specification:
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Chart description: Steady increase from 2000 to 2015 from 30000 to 39000.

Chart data: Year Per capita real GDP in chained 2012 U.S. dollars Dec 31, 1999 34716 Dec 31, 2000 34897 Dec 31, 2001 35678 Dec 31, 2002 36801 Dec 31, 2003 38037 Dec 31, 2004 39439 Dec 31, 2005 40340 Dec 31, 2006 41856 Dec 31, 2007 41132 Dec 31, 2008 39978 Dec 31, 2009 40925 Dec 31, 2010 41585 Dec 31, 2011 41847 Dec 31, 2012 41866 Dec 31, 2013 42250 Dec 31, 2014 43544 Dec 31, 2015 42528 Dec 31, 2016 42784 Dec 31, 2017 43576 Dec 31, 2018 44145

Vega-Lite specification:
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Chart description: China invests the most in clean energy by a large margin, followed by the US. Most countries investing, invest between 1-10 million dollars.

Chart data: Country Investment in billion U.S. dollars China 83.4 U.S. 55.5 Japan 16.5 India 9.3 Brazil 6.5 Australia 5.6 Netherlands 5.5 U.K. 5.3 Chile 4.9 UAE 4.5 France 4.4 Germany 4.4 Mexico 4.3 Sweden 3.7 Ukraine 3.4 Argentina 2

Vega-Lite specification:
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Chart description: There has been a big decline in average number of own children over the past 60 years.

Chart data: Year Average number of children per family Dec 31, 1959 2.33 Dec 31, 1964 2.44 Dec 31, 1969 2.28 Dec 31, 1970 2.31 Dec 31, 1971 2.22 Dec 31, 1972 2.17 Dec 31, 1973 2.14 Dec 31, 1974 2.09 Dec 31, 1975 2.04 Dec 31, 1976 2.01 Dec 31, 1977 1.96 Dec 31, 1978 1.93 Dec 31, 1979 1.91 Dec 31, 1980 1.88 Dec 31, 1981 1.87 Dec 31, 1982 1.87 Dec 31, 1983 1.85 Dec 31, 1984 1.85 Dec 31, 1985 1.83 Dec 31, 1986 1.81 Dec 31, 1987 1.81 Dec 31, 1988 1.82 Dec 31, 1989 1.83 Dec 31, 1990 1.84 Dec 31, 1991 1.85 Dec 31, 1992 1.84 Dec 31, 1993 1.84 Dec 31, 1994 1.84 Dec 31, 1995 1.86 Dec 31, 1996 1.84 Dec 31, 1997 1.85 Dec 31, 1998 1.86 Dec 31, 1999 1.87 Dec 31, 2000 1.83 Dec 31, 2001 1.83 Dec 31, 2002 1.83 Dec 31, 2003 1.83 Dec 31, 2004 1.82 Dec 31, 2005 1.82 Dec 31, 2006 1.81 Dec 31, 2007 1.86 Dec 31, 2008 1.86 Dec 31, 2009 1.88 Dec 31, 2010 1.87 Dec 31, 2011 1.88 Dec 31, 2012 1.88 Dec 31, 2013 1.9 Dec 31, 2014 1.86 Dec 31, 2015 1.89 Dec 31, 2016 1.9 Dec 31, 2017 1.9 Dec 31, 2018 1.93

Vega-Lite specification:
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Chart description: The nuclear share of electricity generation decreased in Japan between2010 and 2012It then went on to decrease less rapidly between 2012 and 2014There was then a gradual increase in the nuclear share of electricity generation in Japan between 2014 and2018.

Chart data: Response Share of electricity generation Dec 31, 2008 0.289 Dec 31, 2009 0.292 Dec 31, 2010 0.181 Dec 31, 2011 0.021 Dec 31, 2012 0.017 Dec 31, 2013 0 Dec 31, 2014 0.005 Dec 31, 2015 0.022 Dec 31, 2016 0.036 Dec 31, 2017 0.062 Dec 31, 2018 0.075

Vega-Lite specification:
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Chart description: up until 2010 the share was high but then declined rapidly to near zero and has been slowly increasing since.

Chart data: Response Share of electricity generation Dec 31, 2008 0.289 Dec 31, 2009 0.292 Dec 31, 2010 0.181 Dec 31, 2011 0.021 Dec 31, 2012 0.017 Dec 31, 2013 0 Dec 31, 2014 0.005 Dec 31, 2015 0.022 Dec 31, 2016 0.036 Dec 31, 2017 0.062 Dec 31, 2018 0.075

Vega-Lite specification:
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Chart description: From 2012 to 2018, the follower count rose rapidly. In roughly 2020, there was a significant dip in followers that quickly rose back up again to the peak value.

Chart data: Month Twitter followers in thousands Aug 31, 2011 71 Mar 31, 2012 113 Aug 31, 2012 192 Mar 31, 2013 254 Sep 30, 2013 392 Mar 31, 2014 487 Sep 30, 2014 601 Mar 31, 2015 711 Oct 31, 2015 834 Mar 31, 2016 932 Sep 30, 2016 1156 Mar 31, 2017 1435 Sep 30, 2017 1741 Mar 31, 2018 2024 Sep 30, 2018 2082 Mar 31, 2019 2140 Sep 30, 2019 2200 Mar 31, 2020 2100 Sep 30, 2020 2200

Vega-Lite specification:
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Chart description: There is an overall decrease in Gate receipts from 2010 to 2018. There was an increase in receipts during 2011, 2013 and 2015 followed by declines the following years.

Chart data: Year Gate receipts in million U.S. dollars Dec 31, 2008 45 Dec 31, 2009 41 Dec 31, 2010 42 Dec 31, 2011 54 Dec 31, 2012 50 Dec 31, 2013 60 Dec 31, 2014 53 Dec 31, 2015 59 Dec 31, 2016 54 Dec 31, 2017 42 Dec 31, 2018 35

Vega-Lite specification:
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Chart description: A downward trend started in 2016 and continued to drop till 2018. 2014 saw the highest increase up to 60 millions dollars.

Chart data: Year Gate receipts in million U.S. dollars Dec 31, 2008 45 Dec 31, 2009 41 Dec 31, 2010 42 Dec 31, 2011 54 Dec 31, 2012 50 Dec 31, 2013 60 Dec 31, 2014 53 Dec 31, 2015 59 Dec 31, 2016 54 Dec 31, 2017 42 Dec 31, 2018 35

Vega-Lite specification:
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Chart description: Prices increased from 2007 and remained at a similar rate until 2011 when prices have since increased year on year.

Chart data: Year Ticket price in British pounds 2016 5.9 2015 5.8 2014 5.7 2013 5.5 2012* 5.3 2011 5 2010 4 2009 4 2008 4 2007 4 2006 3 2005 2.8 2004 3 2003 2.8 2002 2.7 2001 2.7 2000 2.6

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": "data/24124.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d95f02"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Ticket price in British pounds"}, "field": "Ticket price in British pounds"}}, "title": ["Cash price of a single journey in zones", "1 - 4 on the London Underground from 2000", "to 2016 (in GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: This bar chart shows that the prices of tickets in British pounds has continued to gradually rise from 2000 - 2007 when the price stays the same between 2007 - 2010. In 2011 the price has a increase where it then gradually increases until 2016.

Chart data: Year Ticket price in British pounds 2016 5.9 2015 5.8 2014 5.7 2013 5.5 2012* 5.3 2011 5 2010 4 2009 4 2008 4 2007 4 2006 3 2005 2.8 2004 3 2003 2.8 2002 2.7 2001 2.7 2000 2.6

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": "data/24124.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#d95f02"}, "x": {"type": "nominal", "axis": {}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Ticket price in British pounds"}, "field": "Ticket price in British pounds"}}, "title": ["Cash price of a single journey in zones", "1 - 4 on the London Underground from 2000", "to 2016 (in GBP)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}