delen/vistext huggingface dataset:
Chart description: China mainland has most chickens out of all other countries listed, they have over 5 million. Three countries have around 2 million chickens, that's Indonesia, United States of America and Brazil. Rest of the countries listed have around 1 million chickens.

Chart data: Number of chickens in millions Country 5274.48 China, mainland 2384.15 Indonesia 1973.38 United States of America 1468.35 Brazil 1071.61 Iran (Islamic Republic of) 801.09 India 568.37 Mexico 524.14 Pakistan 507.05 Russia 353.56 Turkey

Vega-Lite specification:
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Chart description: Washington uses the most amount of electricity during the summer. While Michigan and Indiana are the lowest.

Chart data: Summer capacity in megawatts Plant (state) 7079 Grand Coulee (Washington) 3937 Palo Verde(Arizona) 3695 Martin(Florida) 3675 W.A. Parish(Texas) 3669 Western County Energy Center(Florida) 3392 Scherer(Georgia) 3309 Browns Ferry(Tennessee) 3232 Bowen(Georgia) 3132 Gibson(Indiana) 3080 Monroe(Michigan)

Vega-Lite specification:
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Chart description: Grand Coulee in Washington is by far the highest capacity in megawatts by approx 7,000. the rest of the generators in other locations are considerably lower and all about the same as one another between about 3 and 4,000 megawatts.

Chart data: Summer capacity in megawatts Plant (state) 7079 Grand Coulee (Washington) 3937 Palo Verde(Arizona) 3695 Martin(Florida) 3675 W.A. Parish(Texas) 3669 Western County Energy Center(Florida) 3392 Scherer(Georgia) 3309 Browns Ferry(Tennessee) 3232 Bowen(Georgia) 3132 Gibson(Indiana) 3080 Monroe(Michigan)

Vega-Lite specification:
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Chart description: There is information about 10 facilities. Grand Coulee in Washington state had the largest capacity at around 7000 megawatt hours.  This was almost double the capacity of any other facility in the series.  The other 9 facilities all produced similar amounts of capacity between 3000 and 4000 megawatts.

Chart data: Summer capacity in megawatts Plant (state) 7079 Grand Coulee (Washington) 3937 Palo Verde(Arizona) 3695 Martin(Florida) 3675 W.A. Parish(Texas) 3669 Western County Energy Center(Florida) 3392 Scherer(Georgia) 3309 Browns Ferry(Tennessee) 3232 Bowen(Georgia) 3132 Gibson(Indiana) 3080 Monroe(Michigan)

Vega-Lite specification:
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Chart description: All plants have a similar summer capacity, except for the power plant in Washington, which is almost doubled with respect to the others. It is difficult to compare state-by-state as plants in the same state are not close to each other.

Chart data: Summer capacity in megawatts Plant (state) 7079 Grand Coulee (Washington) 3937 Palo Verde(Arizona) 3695 Martin(Florida) 3675 W.A. Parish(Texas) 3669 Western County Energy Center(Florida) 3392 Scherer(Georgia) 3309 Browns Ferry(Tennessee) 3232 Bowen(Georgia) 3132 Gibson(Indiana) 3080 Monroe(Michigan)

Vega-Lite specification:
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Chart description: The main reason for registered voters to not vote in the 2016 US presidential election was 'did not like either candidate or campaign issues'. Indeed, a quarter of registered voters that did not vote listed that as their main reason. 'Not interested' is the second most popular reason for non voting, with more than 15% of non-voters listing that as the reason. 'Illness' is the third reason - 12% of respondents - for people not voting. 'Being out of town' is the reason why 8% of respondents didn't vote.

Chart data: Response Percentage of registered voters Did not like candidates or campaign issues 0.248 Not interested 0.154 Too busy, conflicting schedule 0.143 Illness or disability 0.117 Other reason 0.111 Out of town 0.079 Registration problems 0.044 Forgot to vote 0.03 Don’t know or refused 0.027 Transportation problems 0.026 Inconvenient polling place 0.021

Vega-Lite specification:
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Chart description: Samsung has the highest market share within the leading smart watch companies in 2013. The graph demonstrates there are 40 leading smart watch companies, with 30 unnamed companies having a lower share, but combined have the second highest share. Garmin, Fitbit and Sony have the following highest share independently in that order, after Samsung.

Chart data: Company Market share Samsung 0.338 Nike 0.084 Garmin 0.084 Fitbit 0.082 Sony 0.07 Pebble 0.063 Shanda/Geak 0.042 Mio Alpha 0.028 Yinqu Technology 0.018 Casio 0.014 Other 30 companies 0.176

Vega-Lite specification:
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Chart description: The Y axis increases by increments of 0.1. Samsung has the highest market share in smartwatches in 2013 at over 0.3. Samsung has approximately double the share of its nearest competitors, the other 30 companies combined (at under 0.2). Casio has the lowest market share in smartwatches in 2013, at under 0.025.

Chart data: Company Market share Samsung 0.338 Nike 0.084 Garmin 0.084 Fitbit 0.082 Sony 0.07 Pebble 0.063 Shanda/Geak 0.042 Mio Alpha 0.028 Yinqu Technology 0.018 Casio 0.014 Other 30 companies 0.176

Vega-Lite specification:
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Chart description: From the graph, it can be observed that the population of Iceland increases from 2020 to 2022. After this a slight decrease in the population is noted until approximately 2029, where the trend reverses and the population begins to slightly increase.

Chart data: Year Number of inhabitants Dec 31, 2019 363786 Dec 31, 2020 369707 Dec 31, 2021 375371 Dec 31, 2022 380915 Dec 31, 2023 386525 Dec 31, 2024 386149 Dec 31, 2025 385537 Dec 31, 2026 384672 Dec 31, 2027 383551 Dec 31, 2028 382173 Dec 31, 2029 384539

Vega-Lite specification:
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Chart description: It appears from the information in the graph that the population growth forecast is expected to remain pretty consistently just below 400000.

Chart data: Year Number of inhabitants Dec 31, 2019 363786 Dec 31, 2020 369707 Dec 31, 2021 375371 Dec 31, 2022 380915 Dec 31, 2023 386525 Dec 31, 2024 386149 Dec 31, 2025 385537 Dec 31, 2026 384672 Dec 31, 2027 383551 Dec 31, 2028 382173 Dec 31, 2029 384539

Vega-Lite specification:
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Chart description: The number of drive-in cinema screens was at its highest in 1995 (over 800). After this year it fluctuated, but gradually decreased to around 550 in 2019.

Chart data: Year Number of drive-in cinema screens Dec 31, 1994 848 Dec 31, 1995 826 Dec 31, 1996 815 Dec 31, 1997 750 Dec 31, 1998 683 Dec 31, 1999 683 Dec 31, 2000 683 Dec 31, 2001 666 Dec 31, 2002 634 Dec 31, 2003 640 Dec 31, 2004 648 Dec 31, 2005 650 Dec 31, 2006 635 Dec 31, 2007 633 Dec 31, 2008 628 Dec 31, 2009 618 Dec 31, 2010 606 Dec 31, 2011 606 Dec 31, 2012 656 Dec 31, 2013 656 Dec 31, 2014 595 Dec 31, 2015 595 Dec 31, 2016 595 Dec 31, 2017 524 Dec 31, 2018 559

Vega-Lite specification:
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Chart description: the number of drive-in cinemas continues to decline despite a slight increase around 2015.

Chart data: Year Number of drive-in cinema screens Dec 31, 1994 848 Dec 31, 1995 826 Dec 31, 1996 815 Dec 31, 1997 750 Dec 31, 1998 683 Dec 31, 1999 683 Dec 31, 2000 683 Dec 31, 2001 666 Dec 31, 2002 634 Dec 31, 2003 640 Dec 31, 2004 648 Dec 31, 2005 650 Dec 31, 2006 635 Dec 31, 2007 633 Dec 31, 2008 628 Dec 31, 2009 618 Dec 31, 2010 606 Dec 31, 2011 606 Dec 31, 2012 656 Dec 31, 2013 656 Dec 31, 2014 595 Dec 31, 2015 595 Dec 31, 2016 595 Dec 31, 2017 524 Dec 31, 2018 559

Vega-Lite specification:
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Chart description: The area chart shows that there is a fairly stable number of drive-in cinema screens throughout 1997 to 2015.  There was a decline from a high of around 800 screens in 1995 to 700 in 1997; and a further very small decline to 2013 when there was a small increase to 700 again.

Chart data: Year Number of drive-in cinema screens Dec 31, 1994 848 Dec 31, 1995 826 Dec 31, 1996 815 Dec 31, 1997 750 Dec 31, 1998 683 Dec 31, 1999 683 Dec 31, 2000 683 Dec 31, 2001 666 Dec 31, 2002 634 Dec 31, 2003 640 Dec 31, 2004 648 Dec 31, 2005 650 Dec 31, 2006 635 Dec 31, 2007 633 Dec 31, 2008 628 Dec 31, 2009 618 Dec 31, 2010 606 Dec 31, 2011 606 Dec 31, 2012 656 Dec 31, 2013 656 Dec 31, 2014 595 Dec 31, 2015 595 Dec 31, 2016 595 Dec 31, 2017 524 Dec 31, 2018 559

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Chart description: The number of drive in cinemas has continued to slowly decrease across the time frame. There was an increase in drive in cinemas between 2010 and 2015 which plateaued for a short time before continuing to decline. 2020 shows a slight upward trend in terms of numbers.

Chart data: Year Number of drive-in cinema screens Dec 31, 1994 848 Dec 31, 1995 826 Dec 31, 1996 815 Dec 31, 1997 750 Dec 31, 1998 683 Dec 31, 1999 683 Dec 31, 2000 683 Dec 31, 2001 666 Dec 31, 2002 634 Dec 31, 2003 640 Dec 31, 2004 648 Dec 31, 2005 650 Dec 31, 2006 635 Dec 31, 2007 633 Dec 31, 2008 628 Dec 31, 2009 618 Dec 31, 2010 606 Dec 31, 2011 606 Dec 31, 2012 656 Dec 31, 2013 656 Dec 31, 2014 595 Dec 31, 2015 595 Dec 31, 2016 595 Dec 31, 2017 524 Dec 31, 2018 559

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Chart description: Total assets of the Chinese Bank of Communications Has increased from 3,000 to 10,000 yuan from the years 2008 to 2018.

Chart data: Year Total assets in billion yuan Dec 31, 2007 2678.2 Dec 31, 2008 3309.1 Dec 31, 2009 3951.6 Dec 31, 2010 4611.2 Dec 31, 2011 5273.4 Dec 31, 2012 5960.9 Dec 31, 2013 6268.3 Dec 31, 2014 7155.36 Dec 31, 2015 8403.17 Dec 31, 2016 9038.25 Dec 31, 2017 9531.17 Dec 31, 2018 9905.6

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Chart description: There is an overall increase in Apple's net income in the company's fiscal years from 2005 to 2020. Net income grew exponentially from 2005 to 2012. From 2012 to 2020, net income rose and fell erratically, peaking 3 times in the years 2012, 2014 and 2018. After every fall, there was always a short period of gradual increase which led to another spike in net income.

Chart data: Fiscal years Net income in billion U.S. dollars Dec 31, 2004 1.33 Dec 31, 2005 1.99 Dec 31, 2006 3.5 Dec 31, 2007 6.12 Dec 31, 2008 8.24 Dec 31, 2009 14.01 Dec 31, 2010 25.92 Dec 31, 2011 41.73 Dec 31, 2012 37.04 Dec 31, 2013 39.51 Dec 31, 2014 53.39 Dec 31, 2015 45.69 Dec 31, 2016 48.35 Dec 31, 2017 59.53 Dec 31, 2018 55.26 Dec 31, 2019 57.41

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Chart description: The chart shows that the turnover of machinery manufacture was least in the year 2009, with just over  15000 million euros. It was at its highest in 2017 with over 25000 million euros.

Chart data: Annual turnover in million euros Year 26196.1 2017* 22712.2 2016 22785.3 2015 22066.6 2014 23821.5 2013 25715.5 2012 24235.8 2011 19616.7 2010 16305.5 2009 24602.9 2008

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Chart description: Youth unemployment rates were holding steady at just below 0.3 from 2000 to 2007 or so. However, after a short steep drop, unemployment then rose to above 0.3 and remained there from 2010 onwards, with a slight decline from hights.

Chart data: Year Youth unemployment rate Dec 31, 1998 0.2804 Dec 31, 1999 0.2801 Dec 31, 2000 0.2806 Dec 31, 2001 0.2842 Dec 31, 2002 0.2854 Dec 31, 2003 0.2849 Dec 31, 2004 0.2837 Dec 31, 2005 0.2803 Dec 31, 2006 0.2776 Dec 31, 2007 0.2774 Dec 31, 2008 0.2473 Dec 31, 2009 0.2854 Dec 31, 2010 0.3267 Dec 31, 2011 0.3301 Dec 31, 2012 0.328 Dec 31, 2013 0.3261 Dec 31, 2014 0.3261 Dec 31, 2015 0.3252 Dec 31, 2016 0.3236 Dec 31, 2017 0.3227 Dec 31, 2018 0.3145 Dec 31, 2019 0.3139

Vega-Lite specification:
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Chart description: Ranges from 62 to 120 wickets taken. 9 women took less than 80, 2 over 100.

Chart data: Wicket-taker Number of wickets taken A Mohammed (WI-W) 120 EA Perry (AUS-W) 114 A Shrubsole (ENG-W) 101 S Ismail (SA-W) 99 Nida Dar (PAK-W) 98 Poonam Yadav (IND-W) 95 M Schutt (AUS-W) 89 SR Taylor (WI-W) 89 Sana Mir (PAK-W) 89 SFM Devine (NZ-W) 87 D Hazell (ENG-W) 85 KH Brunt (ENG-W) 83 HASD Siriwardene (SL-W) 77 JL Gunn (ENG-W) 75 SF Daley (WI-W) 72 JL Jonassen (AUS-W) 69 Salma Khatun (BD-W) 66 LM Kasperek (NZ-W) 65 LA Marsh (ENG-W) 64 HL Colvin (ENG-W) 63

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Chart description: All players managed to take over 60 wickets and only 3 players out of the 20 took over 100 wickets.

Chart data: Wicket-taker Number of wickets taken A Mohammed (WI-W) 120 EA Perry (AUS-W) 114 A Shrubsole (ENG-W) 101 S Ismail (SA-W) 99 Nida Dar (PAK-W) 98 Poonam Yadav (IND-W) 95 M Schutt (AUS-W) 89 SR Taylor (WI-W) 89 Sana Mir (PAK-W) 89 SFM Devine (NZ-W) 87 D Hazell (ENG-W) 85 KH Brunt (ENG-W) 83 HASD Siriwardene (SL-W) 77 JL Gunn (ENG-W) 75 SF Daley (WI-W) 72 JL Jonassen (AUS-W) 69 Salma Khatun (BD-W) 66 LM Kasperek (NZ-W) 65 LA Marsh (ENG-W) 64 HL Colvin (ENG-W) 63

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Chart description: From 2014 sales dropped by more than half. And under 100,000.

Chart data: Year Sales volume in thousand kilograms 2019 80190 2018 78952 2017 79056 2016 73789 2015 73296 2014 79591 2013 196239 2012** 203255 2011** 252873 2010 210861 2008** 255024

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Chart description: In Spain In 2020, several regions had an unemployment rate of almost 0.25% with the majority having a rate between 0.1 and 0.15%.

Chart data: Unemployment rate Country 0.2714 Ceuta 0.2504 Canary Islands 0.2414 Melilla 0.238 Andalusia 0.2088 Extremadura 0.1834 Castile la Mancha 0.1726 Region of Valencia 0.1721 Murcia 0.1626 Spain 0.1416 Asturias 0.1328 Balearic Islands 0.1325 Community of Madrid 0.1323 Catalonia 0.1249 Castile and Leon 0.1202 Cantabria 0.119 Aragon 0.118 Galicia 0.1152 La Rioja 0.1034 Basque Country 0.0994 Navarre

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