delen/vistext huggingface dataset:
Chart description: The United States has suffered the world's greatest economic loss due to drought over the 116 years of the data set. The US has lost approx 30bn US dollars in total. This is followed by China at about 18bn dollars, and Spain at around 7bn USD. The US has suffered three major droughts in all, with the worst economic losses in 2012.

Chart data: Economic loss in billion U.S. dollars Drought 20 United States, June 2012 13.8 China P Rep, January 1994 8 United States, January 2011 6 Australia, 1981 5 Brazil, January 2014 4.5 Spain, September 1990 3.6 China P Rep, October 2009 3.3 United States, July 2002 3.3 Iran Islam Rep, April 1999 3.2 Spain, April 1999

Vega-Lite specification:
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Chart description: The US had the most economic loss due to droughts between the June 2012 at 20 billion US dollars. Spain in April 1999 and the US in July 2002 had the least economic loss due to droughts between the years at roughly 4 billion US dollars.

Chart data: Economic loss in billion U.S. dollars Drought 20 United States, June 2012 13.8 China P Rep, January 1994 8 United States, January 2011 6 Australia, 1981 5 Brazil, January 2014 4.5 Spain, September 1990 3.6 China P Rep, October 2009 3.3 United States, July 2002 3.3 Iran Islam Rep, April 1999 3.2 Spain, April 1999

Vega-Lite specification:
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Chart description: The response gradually go down. It stay between 0.30 and 0.25.

Chart data: Response Share of total population Dec 31, 2010 0.3 Dec 31, 2011 0.29 Dec 31, 2012 0.29 Dec 31, 2013 0.28 Dec 31, 2014 0.28 Dec 31, 2015 0.27 Dec 31, 2016 0.27 Dec 31, 2017 0.26 Dec 31, 2018 0.2591 Dec 31, 2019 0.2549

Vega-Lite specification:
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Chart description: The share of children in the total population of Myanmar drops from 0.30 to just over 0.25 from 2011 to 2020.  The share of children in the population remains stable during years 2012-2013, 2014-2015, 2016-2017 and 2018- 2019.  At no point during the period represented by this graph does the share of children in the population increase.

Chart data: Response Share of total population Dec 31, 2010 0.3 Dec 31, 2011 0.29 Dec 31, 2012 0.29 Dec 31, 2013 0.28 Dec 31, 2014 0.28 Dec 31, 2015 0.27 Dec 31, 2016 0.27 Dec 31, 2017 0.26 Dec 31, 2018 0.2591 Dec 31, 2019 0.2549

Vega-Lite specification:
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Chart description: The share of the urban population in the total population has not changed between 2009 and 2019.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.8806 Dec 31, 2009 0.8808 Dec 31, 2010 0.8811 Dec 31, 2011 0.8812 Dec 31, 2012 0.8813 Dec 31, 2013 0.8814 Dec 31, 2014 0.8815 Dec 31, 2015 0.8817 Dec 31, 2016 0.8818 Dec 31, 2017 0.8821 Dec 31, 2018 0.8824

Vega-Lite specification:
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Chart description: The degree of urbanisation has not changed from 2010 to 2018. The rate has continued unchanged at 0.8.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.8806 Dec 31, 2009 0.8808 Dec 31, 2010 0.8811 Dec 31, 2011 0.8812 Dec 31, 2012 0.8813 Dec 31, 2013 0.8814 Dec 31, 2014 0.8815 Dec 31, 2015 0.8817 Dec 31, 2016 0.8818 Dec 31, 2017 0.8821 Dec 31, 2018 0.8824

Vega-Lite specification:
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Chart description: After 2016 no amount was spent on research and development.

Chart data: Year Expenditure in million U.S. dollars Dec 31, 2008 952 Dec 31, 2009 1032 Dec 31, 2010 1191 Dec 31, 2011 1257 Dec 31, 2012 1376 Dec 31, 2013 1430 Dec 31, 2014 1362 Dec 31, 2015 −1299 Dec 31, 2016 −1273 Dec 31, 2017 −1300 Dec 31, 2018 −918

Vega-Lite specification:
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Chart description: There is a steady increase from 2008 to end of 2015. Then there is a quick decline from 2015 to 2019.

Chart data: Year Expenditure in million U.S. dollars Dec 31, 2008 952 Dec 31, 2009 1032 Dec 31, 2010 1191 Dec 31, 2011 1257 Dec 31, 2012 1376 Dec 31, 2013 1430 Dec 31, 2014 1362 Dec 31, 2015 −1299 Dec 31, 2016 −1273 Dec 31, 2017 −1300 Dec 31, 2018 −918

Vega-Lite specification:
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Chart description: The most common preventative measure among respondents was practicing good hygiene. Getting a flu shot was among the lowest reported preventative measure amongst respondents.

Chart data: Share of respondents Response 0.05 Practicing good hygiene 0.03 Take medicines and ointments 0.03 Strengthening immune system with folk remedies 0.03 Use masks 0.03 Reduce contacts, go to public places less often 0.02 Take vitamins 0.01 Drink alcohol 0.01 Do sports, physical activity, outdoor activity 0.01 Get flu shots 0.01 Consume fresh fruit and vegetables

Vega-Lite specification:
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Chart description: Overall Gross Margin has tripled since 1993 from 10b to 30b with a slight dip around 2007/2008 of roughly 6b.

Chart data: Year Gross margin in billion U.S. dollars Dec 31, 1992 9.37 Dec 31, 1993 9.52 Dec 31, 1994 10.88 Dec 31, 1995 11.3 Dec 31, 1996 11.69 Dec 31, 1997 12.38 Dec 31, 1998 13.74 Dec 31, 1999 15.97 Dec 31, 2000 15.49 Dec 31, 2001 16.94 Dec 31, 2002 17.61 Dec 31, 2003 18.25 Dec 31, 2004 19.09 Dec 31, 2005 21.19 Dec 31, 2006 21.17 Dec 31, 2007 20.25 Dec 31, 2008 15.68 Dec 31, 2009 18.55 Dec 31, 2010 18.96 Dec 31, 2011 20.79 Dec 31, 2012 22.32 Dec 31, 2013 23.76 Dec 31, 2014 24.81 Dec 31, 2015 26.48 Dec 31, 2016 28.36 Dec 31, 2017 29.52

Vega-Lite specification:
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Chart description: US wholesalers’ gross margins increased by 200% from 1993 to 2018. This trend was broken by a downturn in the late 2000s. Between then and 2018, this decrease was recovered and improved upon by almost 50%.

Chart data: Year Gross margin in billion U.S. dollars Dec 31, 1992 9.37 Dec 31, 1993 9.52 Dec 31, 1994 10.88 Dec 31, 1995 11.3 Dec 31, 1996 11.69 Dec 31, 1997 12.38 Dec 31, 1998 13.74 Dec 31, 1999 15.97 Dec 31, 2000 15.49 Dec 31, 2001 16.94 Dec 31, 2002 17.61 Dec 31, 2003 18.25 Dec 31, 2004 19.09 Dec 31, 2005 21.19 Dec 31, 2006 21.17 Dec 31, 2007 20.25 Dec 31, 2008 15.68 Dec 31, 2009 18.55 Dec 31, 2010 18.96 Dec 31, 2011 20.79 Dec 31, 2012 22.32 Dec 31, 2013 23.76 Dec 31, 2014 24.81 Dec 31, 2015 26.48 Dec 31, 2016 28.36 Dec 31, 2017 29.52

Vega-Lite specification:
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Chart description: A significantly higher number of refugees aged 5-9 years arrived in the US than in any other age group. The least represented age group amongst refugees is those under the age of 1; with those above the age of 75 being the second most underrepresented group. There are significantly more refugees under the age of 40 than there are over the age of 40.

Chart data: Age in years Number of persons Under 1 year 72 1 to 4 years 3406 5 to 9 years 4105 10 to 14 years 3499 15 to 19 years 3106 20 to 24 years 3036 25 to 29 years 3109 30 to 34 years 2710 35 to 39 years 1988 40 to 44 years 1289 45 to 49 years 1002 50 to 54 years 724 55 to 59 years 626 60 to 64 years 512 65 to 74 years 549 75 years and over 183

Vega-Lite specification:
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Chart description: Roche is projected to spend more than 12 billion US dollars in 2026Eli Lilly is the pharma projected to spend the less amount of money compared to all other top 10 pharmaceuticals.

Chart data: R&D spending in billion U.S. dollars business 12.9 Roche 11 Merck & Co 10.7 Johnson & Johnson 9.7 Novartis 9.7 Pfizer 9.4 Bristol-Myers Squibb 7.6 GlaxoSmithKline 7.5 AstraZeneca 7.3 AbbVie 7 Eli Lilly

Vega-Lite specification:
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Chart description: The majority of home runs are between 1000 and 1500, only one player has topped the highest home runs, Don Mattingly has the fewest home runs.

Chart data: player name Number of home runs Lou Gehrig 1995 Babe Ruth 1978 Joe DiMaggio 1537 Mickey Mantle 1509 Yogi Berra 1430 Derek Jeter 1311 Bernie Williams 1257 Bill Dickey 1209 Tony Lazzeri 1157 Don Mattingly 1099

Vega-Lite specification:
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Chart description: Lou Gehrig had the highest number of home runs. Don Mattingly had the lowest number of home runs. Only four players had  1500 or more home runs. All players had above 1000 home runs.

Chart data: player name Number of home runs Lou Gehrig 1995 Babe Ruth 1978 Joe DiMaggio 1537 Mickey Mantle 1509 Yogi Berra 1430 Derek Jeter 1311 Bernie Williams 1257 Bill Dickey 1209 Tony Lazzeri 1157 Don Mattingly 1099

Vega-Lite specification:
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Chart description: The number of jobs in the wind energy industry has risen steadily over the period. The number of jobs has levelled off over the period 2016/18. The fastest increase took place in 2015.

Chart data: Year Number of jobs in thousands Dec 31, 2008 500 Dec 31, 2009 630 Dec 31, 2010 670 Dec 31, 2011 753 Dec 31, 2012 834 Dec 31, 2013 1027 Dec 31, 2014 1081 Dec 31, 2015 1155 Dec 31, 2016 1148 Dec 31, 2017 1160 Dec 31, 2018 1165

Vega-Lite specification:
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Chart description: Steady increase for first 6 years. Levelled out around 1200 jobs.

Chart data: Year Number of jobs in thousands Dec 31, 2008 500 Dec 31, 2009 630 Dec 31, 2010 670 Dec 31, 2011 753 Dec 31, 2012 834 Dec 31, 2013 1027 Dec 31, 2014 1081 Dec 31, 2015 1155 Dec 31, 2016 1148 Dec 31, 2017 1160 Dec 31, 2018 1165

Vega-Lite specification:
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Chart description: From this graph I can gather information such as between 2009 and 2019 there has been no increase in response or population and can conclude the graph has stagnated. In addition, from this data it can be said that the share of population and response has not changed significantly from 2009 to 2019.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.9176 Dec 31, 2009 0.9183 Dec 31, 2010 0.9189 Dec 31, 2011 0.9196 Dec 31, 2012 0.9203 Dec 31, 2013 0.921 Dec 31, 2014 0.9218 Dec 31, 2015 0.9226 Dec 31, 2016 0.9234 Dec 31, 2017 0.9242 Dec 31, 2018 0.925

Vega-Lite specification:
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Chart description: Brazil and Mexico are the top two countries who use Snapchat.

Chart data: Country Number of users in millions Mexico 14.8 Brazil 13.95 Colombia 4.5 Argentina 3.25 Dominican Republic 1.95 Peru 1.75 Ecuador 1.75 Uruguay 1.55 Chile 1.55 Puerto Rico** 0.8 Costa Rica 0.59

Vega-Lite specification:
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Chart description: Taylor swift was the highest paid in the music industry from June 2018 to June 2019.

Chart data: Income in million U.S. dollars music celebrity 185 Taylor Swift 81 Beyoncé 62 Rihanna 57.5 Katy Perry 57 P!nk 48 Ariana Grande 43 Jennifer Lopez 39.5 Lady Gaga 37.5 Celine Dion 35 Shakira

Vega-Lite specification:
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Chart description: Taylor Swift was the highest paid female music celebrity from June 2018 to June 2019 with earnings of over 150 million dollars. Beyonce was the second highest paid female music celebrity. Shakira was the lowest paid female music celebrity. Celine Dion and Lady Gage earned a similar amount.

Chart data: Income in million U.S. dollars music celebrity 185 Taylor Swift 81 Beyoncé 62 Rihanna 57.5 Katy Perry 57 P!nk 48 Ariana Grande 43 Jennifer Lopez 39.5 Lady Gaga 37.5 Celine Dion 35 Shakira

Vega-Lite specification:
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Chart description: The total assets has been increasing from over the 10 years. We can see small bumps (rapid growth and small decrease) but overall the total assets has increased.

Chart data: Year Total assets in million U.S. dollars Dec 31, 2006 32423 Dec 31, 2007 45084 Dec 31, 2008 43789 Dec 31, 2009 43188 Dec 31, 2010 43499 Dec 31, 2011 44550 Dec 31, 2012 52252 Dec 31, 2013 54005 Dec 31, 2014 53134 Dec 31, 2015 51261 Dec 31, 2016 53711 Dec 31, 2017 60270 Dec 31, 2018 64529

Vega-Lite specification:
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Chart description: Gross production value is highest in Material use. Three economic components are over 0.10Borrowing cost and taxes chargeable as expenses are the lowest in the chart.

Chart data: economic components Share in gross production value Material use (w/o energy) 0.333 Use of commodities 0.146 Other costs/temporary worker wages 0.126 Sum of gross wages and salaries 0.115 Costs for commissioned work 0.085 Social costs 0.022 Energy costs 0.021 Amortizations 0.018 Rents and leases 0.017 Costs for other industrial and manual services 0.014 Borrowing costs 0.004 Taxes chargeable as expenses 0.002

Vega-Lite specification:
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Chart description: The Real Gross Domestic Product (GDP) has been over 100 between the years 2000 to 2015. The linear graph has a steady incline from 2000 to 2015 with a slight drop in 2009. It then continues to increase from this point.

Chart data: Year Real GDP in billion U.S. dollars Dec 31, 1999 137.8 Dec 31, 2000 136.69 Dec 31, 2001 139.7 Dec 31, 2002 145.58 Dec 31, 2003 152.8 Dec 31, 2004 158.46 Dec 31, 2005 167.91 Dec 31, 2006 171.11 Dec 31, 2007 173.96 Dec 31, 2008 166.65 Dec 31, 2009 169.02 Dec 31, 2010 173.88 Dec 31, 2011 174.49 Dec 31, 2012 175.81 Dec 31, 2013 181.86 Dec 31, 2014 192 Dec 31, 2015 200.95 Dec 31, 2016 208.63 Dec 31, 2017 216.56 Dec 31, 2018 222.38

Vega-Lite specification:
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Chart description: The growth increased dramatically in 2010 and then dropped in 2011 and 2012 before starting to rise again.

Chart data: Year GDP growth rate Dec 31, 2008 −0.049 Dec 31, 2009 0.019 Dec 31, 2010 0.013 Dec 31, 2011 0.002 Dec 31, 2012 0.009 Dec 31, 2013 0.016 Dec 31, 2014 0.023 Dec 31, 2015 0.032 Dec 31, 2016 0.028 Dec 31, 2017 0.022 Dec 31, 2018 0.028

Vega-Lite specification:
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Chart description: Household income has had a steady increase over time. Between 2000-2005 the income stayed the same and plateued. There was another dip around 2010 but then income shot up until now. Between 1995-2000 it did rise but with not a lot of growth.

Chart data: Year Household income in current U.S. dollars Dec 31, 1989 29005 Dec 31, 1990 30367 Dec 31, 1991 29882 Dec 31, 1992 30995 Dec 31, 1993 32066 Dec 31, 1994 34524 Dec 31, 1995 34899 Dec 31, 1996 37517 Dec 31, 1997 39015 Dec 31, 1998 37758 Dec 31, 1999 42176 Dec 31, 2000 43499 Dec 31, 2001 42498 Dec 31, 2002 42933 Dec 31, 2003 44106 Dec 31, 2004 46300 Dec 31, 2005 48477 Dec 31, 2006 48437 Dec 31, 2007 51402 Dec 31, 2008 48172 Dec 31, 2009 48314 Dec 31, 2010 49910 Dec 31, 2011 51904 Dec 31, 2012 53952 Dec 31, 2013 55173 Dec 31, 2014 60389 Dec 31, 2015 60979 Dec 31, 2016 63173 Dec 31, 2017 64524 Dec 31, 2018 70582

Vega-Lite specification:
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