delen/vistext huggingface dataset:
Chart description: Deaths from diseases of the appendix were at the highest level of 0.20 in 2004, 2008, and it's lowest point in 2005 and 2007.

Chart data: Year Deaths per 100,000 population Dec 31, 1999 0.1 Dec 31, 2000 0.1 Dec 31, 2001 0.1 Dec 31, 2002 0.1 Dec 31, 2003 0.2 Dec 31, 2004 0.1 Dec 31, 2005 0.2 Dec 31, 2006 0.2 Dec 31, 2007 0.1 Dec 31, 2008 0.2 Dec 31, 2009 0.1 Dec 31, 2010 0.1 Dec 31, 2011 0.2 Dec 31, 2012 0.1 Dec 31, 2013 0.1 Dec 31, 2014 0.1 Dec 31, 2015 0.1 Dec 31, 2016 0.1 Dec 31, 2017 0.1

Vega-Lite specification:
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Chart description: Customer satisfaction for Red Lobster Restaurants was at its lowest in 2015.

Chart data: Year ACSI score Dec 31, 2006 78 Dec 31, 2007 79 Dec 31, 2008 80 Dec 31, 2009 83 Dec 31, 2010 82 Dec 31, 2011 83 Dec 31, 2012 83 Dec 31, 2013 78 Dec 31, 2014 77 Dec 31, 2015 79 Dec 31, 2016 81 Dec 31, 2017 79 Dec 31, 2018 78 Dec 31, 2019 79

Vega-Lite specification:
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Chart description: According to the chart, the biggest challenge for non profits is ‘small staff, transitions in staff’ and the smallest challenge for nonprofits is ‘affected by disasters’.

Chart data: Share of respondents Response 0.18 Small staff, transitions in staff 0.11 Donor cultivation, acquisition, retention, communications 0.1 Economy, national mood 0.1 Tax law impact still to come 0.09 Organization issues (board, CEO/leadership, fundraising, budget) 0.08 Local issues, including number of nonprofits competing for dollars 0.08 Mission/purpose/programs 0.06 Ending or starting a campaign 0.06 "Culture of philanthropy" including CRM, communications plan, strategic plan, etc. 0.05 Shifting demographics 0.05 Institutional donors, including government funding 0.02 Event fundraising 0.01 Affected by disasters

Vega-Lite specification:
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Chart description: The biggest challenge for non profit organisations is small staff and staff transitions where as the least effect is from disasters.

Chart data: Share of respondents Response 0.18 Small staff, transitions in staff 0.11 Donor cultivation, acquisition, retention, communications 0.1 Economy, national mood 0.1 Tax law impact still to come 0.09 Organization issues (board, CEO/leadership, fundraising, budget) 0.08 Local issues, including number of nonprofits competing for dollars 0.08 Mission/purpose/programs 0.06 Ending or starting a campaign 0.06 "Culture of philanthropy" including CRM, communications plan, strategic plan, etc. 0.05 Shifting demographics 0.05 Institutional donors, including government funding 0.02 Event fundraising 0.01 Affected by disasters

Vega-Lite specification:
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Chart description: The organisation of "responses" do not to be in any order on the Y axis. "Small staff, transitions in staff/" has the largest share of respondents, while those "affected by disasters" has the lowest share of respondents. Issues that have the largest affect on the economy appear to have the largest share of respondents.

Chart data: Share of respondents Response 0.18 Small staff, transitions in staff 0.11 Donor cultivation, acquisition, retention, communications 0.1 Economy, national mood 0.1 Tax law impact still to come 0.09 Organization issues (board, CEO/leadership, fundraising, budget) 0.08 Local issues, including number of nonprofits competing for dollars 0.08 Mission/purpose/programs 0.06 Ending or starting a campaign 0.06 "Culture of philanthropy" including CRM, communications plan, strategic plan, etc. 0.05 Shifting demographics 0.05 Institutional donors, including government funding 0.02 Event fundraising 0.01 Affected by disasters

Vega-Lite specification:
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Chart description: Fertility rate in Sri Lanka has pretty much remained the same with 2 number of childrens born per woman. There is a small decline over the 10 years however it has remained above 2 number of childrens per woman.

Chart data: Year Number of children born per woman Dec 31, 2007 2.27 Dec 31, 2008 2.26 Dec 31, 2009 2.25 Dec 31, 2010 2.24 Dec 31, 2011 2.23 Dec 31, 2012 2.22 Dec 31, 2013 2.22 Dec 31, 2014 2.21 Dec 31, 2015 2.21 Dec 31, 2016 2.21 Dec 31, 2017 2.2

Vega-Lite specification:
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Chart description: In 2013 there was a slightly higher than average growth of gate revenues.

Chart data: Gate revenues in billion U.S. dollars Year 21.76 2023** 21.26 2022** 20.76 2021** 20.2 2020** 19.55 2019** 19.19 2018 19.02 2017 18.65 2016 17.96 2015 17.45 2014 17.14 2013 15.82 2012 16.12 2011 16.18 2010 15.78 2009 15.98 2008 15.6 2007 14.51 2006

Vega-Lite specification:
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Chart description: population density in georgia is steadily increasing from the 60s upto 2018 but the trend is starting to tail a small bit.

Chart data: Year Number of residents per square mile Dec 31, 1959 68.1 Dec 31, 1969 79.8 Dec 31, 1979 95 Dec 31, 1989 112.6 Dec 31, 1999 142.3 Dec 31, 2009 168.5 Dec 31, 2011 172.5 Dec 31, 2012 173.7 Dec 31, 2013 175.6 Dec 31, 2014 177.6 Dec 31, 2015 179.3 Dec 31, 2016 181.3 Dec 31, 2017 182.9

Vega-Lite specification:
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Chart description: The highest year for net income was 2007 (almost 500 million US dollars). The lowest year was 2009 at 0 million USD. All years after this were below 200 million USD, with the exception of 2012.

Chart data: Net income in million U.S. dollars Year 44.96 2019 78.81 2018 7.09 2017* 3.96 2016 35.58 2015 51.82 2014 54.63 2013 237.01 2012 143.14 2011 155.71 2010 0.25 2009 272.26 2008 475.7 2007 422.19 2006

Vega-Lite specification:
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Chart description: Net income of Abercrombie & Fitch Co. worldwide from 2006 to 2019 has fallen from it's highs of 2006, 7 & 8 apart from a peak in 2012, but is still making profits, albeit much smaller.

Chart data: Net income in million U.S. dollars Year 44.96 2019 78.81 2018 7.09 2017* 3.96 2016 35.58 2015 51.82 2014 54.63 2013 237.01 2012 143.14 2011 155.71 2010 0.25 2009 272.26 2008 475.7 2007 422.19 2006

Vega-Lite specification:
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Chart description: The number of poor married couples was at a high in the early 1990s. Factors that this chart does not explain, caused a drop in the number of poor families until 2000. Then something else happened that caused an increase in the number of poor families, pushing that figure (with some fluctuations) back up to its 1990 level. Once again something significant happened and the figure fell to a record low in 2019.

Chart data: Response Percentage of poor married-couple families Dec 31, 1989 0.057 Dec 31, 1990 0.06 Dec 31, 1991 0.064 Dec 31, 1992 0.065 Dec 31, 1993 0.061 Dec 31, 1994 0.056 Dec 31, 1995 0.056 Dec 31, 1996 0.052 Dec 31, 1997 0.053 Dec 31, 1998 0.049 Dec 31, 1999 0.047 Dec 31, 2000 0.049 Dec 31, 2001 0.053 Dec 31, 2002 0.054 Dec 31, 2003 0.055 Dec 31, 2004 0.051 Dec 31, 2005 0.049 Dec 31, 2006 0.049 Dec 31, 2007 0.055 Dec 31, 2008 0.058 Dec 31, 2009 0.063 Dec 31, 2010 0.062 Dec 31, 2011 0.063 Dec 31, 2012 0.058 Dec 31, 2013 0.062 Dec 31, 2014 0.054 Dec 31, 2015 0.051 Dec 31, 2016 0.047 Dec 31, 2017 0.047 Dec 31, 2018 0.04

Vega-Lite specification:
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Chart description: the percentage of poor married couples has fallen sharply since 2014.

Chart data: Response Percentage of poor married-couple families Dec 31, 1989 0.057 Dec 31, 1990 0.06 Dec 31, 1991 0.064 Dec 31, 1992 0.065 Dec 31, 1993 0.061 Dec 31, 1994 0.056 Dec 31, 1995 0.056 Dec 31, 1996 0.052 Dec 31, 1997 0.053 Dec 31, 1998 0.049 Dec 31, 1999 0.047 Dec 31, 2000 0.049 Dec 31, 2001 0.053 Dec 31, 2002 0.054 Dec 31, 2003 0.055 Dec 31, 2004 0.051 Dec 31, 2005 0.049 Dec 31, 2006 0.049 Dec 31, 2007 0.055 Dec 31, 2008 0.058 Dec 31, 2009 0.063 Dec 31, 2010 0.062 Dec 31, 2011 0.063 Dec 31, 2012 0.058 Dec 31, 2013 0.062 Dec 31, 2014 0.054 Dec 31, 2015 0.051 Dec 31, 2016 0.047 Dec 31, 2017 0.047 Dec 31, 2018 0.04

Vega-Lite specification:
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Chart description: There has been a decline in the number of children born per woman since 2008.  In 2008 the number of children born per woman was 2.4; by 2018 this number had fallen to 1.4.

Chart data: Year Number of children born per woman Dec 31, 2007 2.07 Dec 31, 2008 2 Dec 31, 2009 1.93 Dec 31, 2010 1.89 Dec 31, 2011 1.88 Dec 31, 2012 1.86 Dec 31, 2013 1.86 Dec 31, 2014 1.84 Dec 31, 2015 1.82 Dec 31, 2016 1.77 Dec 31, 2017 1.73

Vega-Lite specification:
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Chart description: It would seem that the share of children decreased between 2012 and 2018.

Chart data: Response Percentage of total population Dec 31, 2010 0.32 Dec 31, 2011 0.31 Dec 31, 2012 0.3 Dec 31, 2013 0.3 Dec 31, 2014 0.29 Dec 31, 2015 0.29 Dec 31, 2016 0.28 Dec 31, 2017 0.28 Dec 31, 2018 0.2721 Dec 31, 2019 0.2675

Vega-Lite specification:
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Chart description: The National Debt compared to GDP in Tanzania has not changed much since 2015. Although it is predicted to be slightly lower in the years up until 2025 but it is predicted to be at a similar level as it was in 2015.

Chart data: National debt in relation to GDP Year 0.3681 2025* 0.374 2024* 0.3826 2023* 0.3896 2022* 0.3925 2021* 0.3851 2020* 0.3822 2019* 0.387 2018 0.3767 2017 0.3702 2016 0.3714 2015

Vega-Lite specification:
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Chart description: the graph shows the national debt rising up to 2021 and then gradually falling back to almost the same ratio as it started with. There is only a small amount or increase and decrease, less than 0.05.

Chart data: National debt in relation to GDP Year 0.3681 2025* 0.374 2024* 0.3826 2023* 0.3896 2022* 0.3925 2021* 0.3851 2020* 0.3822 2019* 0.387 2018 0.3767 2017 0.3702 2016 0.3714 2015

Vega-Lite specification:
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Chart description: XPO Logistics has the greatest net revenue (just over $6000 M) by far of all the companies represented. Kuehne Nagel Americas has the lowest net revenue (just under $2000M) closely followed by Penske Logistics (slightly more than $2000M).

Chart data: Logistics company Net revenue in million U.S. dollars XPO Logistics** 6157 UPS Supply Chain Solutions ** 4690 DHL Supply Chain** 4315 J.B. Hunt Transport Services** 3410 Ryder Supply Chain Solutions 2853 C.H. Robinson Worldwide 2705 Expeditors International of Washington 2636 Penske Logistics** 2040 Lineage Logistics 1830 Kuehne `Nagel Americas 1798

Vega-Lite specification:
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Chart description: XPO logistics had the highest net revenue of the logistics companies. Kuehne Nepal Americas had the lowest net revenue of the logistics companies.

Chart data: Logistics company Net revenue in million U.S. dollars XPO Logistics** 6157 UPS Supply Chain Solutions ** 4690 DHL Supply Chain** 4315 J.B. Hunt Transport Services** 3410 Ryder Supply Chain Solutions 2853 C.H. Robinson Worldwide 2705 Expeditors International of Washington 2636 Penske Logistics** 2040 Lineage Logistics 1830 Kuehne `Nagel Americas 1798

Vega-Lite specification:
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Chart description: no logistics company has a net revenue less than 1000 million.

Chart data: Logistics company Net revenue in million U.S. dollars XPO Logistics** 6157 UPS Supply Chain Solutions ** 4690 DHL Supply Chain** 4315 J.B. Hunt Transport Services** 3410 Ryder Supply Chain Solutions 2853 C.H. Robinson Worldwide 2705 Expeditors International of Washington 2636 Penske Logistics** 2040 Lineage Logistics 1830 Kuehne `Nagel Americas 1798

Vega-Lite specification:
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Chart description: XPO logistics taking 6m in revenue and leading the race with the avg revenue being around 2.5m for other companies.

Chart data: Logistics company Net revenue in million U.S. dollars XPO Logistics** 6157 UPS Supply Chain Solutions ** 4690 DHL Supply Chain** 4315 J.B. Hunt Transport Services** 3410 Ryder Supply Chain Solutions 2853 C.H. Robinson Worldwide 2705 Expeditors International of Washington 2636 Penske Logistics** 2040 Lineage Logistics 1830 Kuehne `Nagel Americas 1798

Vega-Lite specification:
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Chart description: The best performing logistic company represented in the bar graph is XPO Logistics with a net revenue of just over 6 million dollars. Three companies fall below a net revenue of 2 million dollars, those being from lowest Kuehne Angel Americas, slightly ahead of them Lineage logistics, then Penske logistics at 2million dollars net revenue.

Chart data: Logistics company Net revenue in million U.S. dollars XPO Logistics** 6157 UPS Supply Chain Solutions ** 4690 DHL Supply Chain** 4315 J.B. Hunt Transport Services** 3410 Ryder Supply Chain Solutions 2853 C.H. Robinson Worldwide 2705 Expeditors International of Washington 2636 Penske Logistics** 2040 Lineage Logistics 1830 Kuehne `Nagel Americas 1798

Vega-Lite specification:
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Chart description: Amazon was most valuable brand at approximately 330 billion US dollars with Apple and Google second and third at just above 300 billion US dollars. Verizon was the least valuable brand in the category at just below 100 billion US dollars, just behind AT&T.

Chart data: Brand value in billion U.S. dollars Platform 334.65 Amazon 303.38 Apple 303.22 Google 261.09 Microsoft 187.91 Visa 159.7 Facebook 143.79 McDonald's 106.26 Mastercard 99.43 AT&T 98.38 Verizon

Vega-Lite specification:
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Chart description: The budget balance to GDP ratio was the worst in 2020 by far at around - 0.05. The ratio was most often negative, save for in 2018 and 2019.

Chart data: Budget balance to GDP ratio Year −0.0055 2025* −0.01 2024* −0.0103 2023* −0.01 2022* −0.0257 2021* −0.0529 2020* 0.0192 2019 0.029 2018 −0.0147 2017 −0.0367 2016 −0.0339 2015

Vega-Lite specification:
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Chart description: 2006-2010 we can see a dip in the population, 2010-2012 we see a sharp increase. Then we see a sharp decline 2012-2014.

Chart data: Year Rate of natural increase per 1,000 population Dec 31, 2004 5.8 Dec 31, 2005 5.9 Dec 31, 2006 5.9 Dec 31, 2007 5.8 Dec 31, 2008 5.6 Dec 31, 2009 4.9 Dec 31, 2010 5.1 Dec 31, 2011 5.6 Dec 31, 2012 4.6 Dec 31, 2013 5.1 Dec 31, 2014 4.9 Dec 31, 2015 4.6 Dec 31, 2016 4 Dec 31, 2017 3.7 Dec 31, 2018 3.7

Vega-Lite specification:
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Chart description: The rate of natural increase is the highest in 2006. The rate of natural increase was the least in 2019.

Chart data: Year Rate of natural increase per 1,000 population Dec 31, 2004 5.8 Dec 31, 2005 5.9 Dec 31, 2006 5.9 Dec 31, 2007 5.8 Dec 31, 2008 5.6 Dec 31, 2009 4.9 Dec 31, 2010 5.1 Dec 31, 2011 5.6 Dec 31, 2012 4.6 Dec 31, 2013 5.1 Dec 31, 2014 4.9 Dec 31, 2015 4.6 Dec 31, 2016 4 Dec 31, 2017 3.7 Dec 31, 2018 3.7

Vega-Lite specification:
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Chart description: From the visual bar chart you can recognise that American  action movies gained the most money at box office. For example Star Wars and bad boys for life gained more revenue than frozen 11.

Chart data: Revenue in thousand U.S. dollars Year 13898.6 Star Wars: Episode IX - The Rise of Skywalker 8013.3 Bad Boys for Life 7181 Jumanji: The Next Level 6908.9 Knives Out 6029.4 Frozen II 3153.2 1917 2972.9 Das perfekte Geheimnis 2656.8 Lindenberg! Mach dein Ding 2416.2 When Hitler Stole Pink Rabbit 2321.8 Spies in Disguise

Vega-Lite specification:
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Chart description: In this bar chart it shows that star wars: episode IX was the leading movie in Germany in January 2020 with revenue of 13,900 US dollars and the lowest revenue in January 2020 in Germany was spies in disguise, with revenue of 2,200 US dollars.

Chart data: Revenue in thousand U.S. dollars Year 13898.6 Star Wars: Episode IX - The Rise of Skywalker 8013.3 Bad Boys for Life 7181 Jumanji: The Next Level 6908.9 Knives Out 6029.4 Frozen II 3153.2 1917 2972.9 Das perfekte Geheimnis 2656.8 Lindenberg! Mach dein Ding 2416.2 When Hitler Stole Pink Rabbit 2321.8 Spies in Disguise

Vega-Lite specification:
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Chart description: We can see that the Netherlands has the highest import value of cocoa beans with over 2,000 million dollars. This is followed by the countries USA, Malaysia, Germany and Belgium who all do between 500 million and 1,000 million. The rest of the countries all do less than 500 million dollars in import value.

Chart data: Import value in million U.S. dollars Country 2283.73 Netherlands 931.35 USA 849.72 Germany 827.91 Malaysia 719.73 Belgium 545.13 Indonesia 414.62 France 248.39 United Kingdom 248.3 Italy 247.92 Turkey 239.2 Spain 224.89 Canada 216.21 Singapore

Vega-Lite specification:
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Chart description: Cabbage consumption has generally declined from 2000 to 2019, but there has been an increase in 2019.

Chart data: Year Per capita consumption in pounds Dec 31, 1999 8.9 Dec 31, 2000 8.8 Dec 31, 2001 8.3 Dec 31, 2002 7.4 Dec 31, 2003 8 Dec 31, 2004 7.8 Dec 31, 2005 7.8 Dec 31, 2006 8 Dec 31, 2007 8.1 Dec 31, 2008 7.3 Dec 31, 2009 7.5 Dec 31, 2010 6.6 Dec 31, 2011 6.3 Dec 31, 2012 6.9 Dec 31, 2013 6.7 Dec 31, 2014 6.3 Dec 31, 2015 5.9 Dec 31, 2016 6.2 Dec 31, 2017 5.7 Dec 31, 2018 6.5

Vega-Lite specification:
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Chart description: The chart shows that the company called Securitas AB has, by far, the largest number of employees at over 300 thousand. The next-largest company is H&M Hennes & Mauritz AB with less than half the employees of Securitas - about 125 thousand. 15 of the 20 companies in the chart had fewer than 50 thousand employees.

Chart data: trading company Number of employees Securitas AB 302055 H & M Hennes & Mauritz AB 126376 Ericsson, Telefon AB LM 94503 Volvo, AB 90844 Electrolux, AB 54419 Assa Abloy AB 48353 Essity AB 45980 Scania CV AB 45235 Scania AB 45235 Volvo Car AB 42908 Sandvik AB 42540 SKF AB 41559 Atlas Copco AB 37805 Skanska AB 34756 Nordea Bank AB 31437 Carl Bennet AB 28825 PostNord AB 28627 Loomis AB 24838 ICA Gruppen AB 23125 Trelleborg AB 22952

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