delen/vistext huggingface dataset:
Chart description: The population is increasing over time through every period. The population was lowest in 1950 at about 570,000m. The population is highest in 2020 at about 740,000m. The steepest increase is between 1950 and 1980. After 1980 population growth slows down.

Chart data: Year Population in millions Dec 31, 1949 549329 Dec 31, 1950 554324 Dec 31, 1951 559694 Dec 31, 1952 565282 Dec 31, 1953 570970 Dec 31, 1954 576679 Dec 31, 1955 582371 Dec 31, 1956 588048 Dec 31, 1957 593743 Dec 31, 1958 599513 Dec 31, 1959 605407 Dec 31, 1960 611434 Dec 31, 1961 617536 Dec 31, 1962 623575 Dec 31, 1963 629367 Dec 31, 1964 634783 Dec 31, 1965 639762 Dec 31, 1966 644345 Dec 31, 1967 648636 Dec 31, 1968 652790 Dec 31, 1969 656919 Dec 31, 1970 661056 Dec 31, 1971 665163 Dec 31, 1972 669208 Dec 31, 1973 673132 Dec 31, 1974 676895 Dec 31, 1975 680498 Dec 31, 1976 683960 Dec 31, 1977 687286 Dec 31, 1978 690485 Dec 31, 1979 693567 Dec 31, 1980 696514 Dec 31, 1981 699330 Dec 31, 1982 702071 Dec 31, 1983 704808 Dec 31, 1984 707584 Dec 31, 1985 710422 Dec 31, 1986 713279 Dec 31, 1987 716057 Dec 31, 1988 718617 Dec 31, 1989 720858 Dec 31, 1990 722776 Dec 31, 1991 724390 Dec 31, 1992 725657 Dec 31, 1993 726529 Dec 31, 1994 726994 Dec 31, 1995 727020 Dec 31, 1996 726669 Dec 31, 1997 726142 Dec 31, 1998 725705 Dec 31, 1999 725558 Dec 31, 2000 725772 Dec 31, 2001 726312 Dec 31, 2002 727134 Dec 31, 2003 728150 Dec 31, 2004 729288 Dec 31, 2005 730547 Dec 31, 2006 731939 Dec 31, 2007 733417 Dec 31, 2008 734923 Dec 31, 2009 736413 Dec 31, 2010 737851 Dec 31, 2011 739225 Dec 31, 2012 740542 Dec 31, 2013 741818 Dec 31, 2014 743059 Dec 31, 2015 744269 Dec 31, 2016 745415 Dec 31, 2017 746419 Dec 31, 2018 747183

Vega-Lite specification:
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Chart description: The highest expenses7 by far of modern development was fir platform development and technical development, both over 80 million dollars.  Mid range expenses were around 40 million dollars reducing to 10/20 million dollars for lesser expenses.

Chart data: Expense in million U.S. dollars Type 48.26 Stock-based compensation 59.1 Shared discovery and development expenses 85.3 Technical development and unallocated manufacturing expenses 91.1 Platform research 55.38 Discovery programs 33.36 Systemic intracellular therapeutics* 11.24 Systemic secreted and cell surface therapeutics* 33.26 Localized regenerative therapeutics* 17.61 Intratumoral immuno-oncology* 44 Cancer vaccines* 47.65 Prophylactic vaccines*

Vega-Lite specification:
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Chart description: The most expensive area was platform research followed by technical development.

Chart data: Expense in million U.S. dollars Type 48.26 Stock-based compensation 59.1 Shared discovery and development expenses 85.3 Technical development and unallocated manufacturing expenses 91.1 Platform research 55.38 Discovery programs 33.36 Systemic intracellular therapeutics* 11.24 Systemic secreted and cell surface therapeutics* 33.26 Localized regenerative therapeutics* 17.61 Intratumoral immuno-oncology* 44 Cancer vaccines* 47.65 Prophylactic vaccines*

Vega-Lite specification:
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Chart description: Pre-tax earnings have fallen drastically over the 8 years from the highest 20b all the way to roughly 2.5b with a short-term increase from 2011 until coming back down again from 2014.

Chart data: Year Pre-tax earnings in billion U.S. dollars Dec 31, 2008 19.83 Dec 31, 2009 12.89 Dec 31, 2010 6.17 Dec 31, 2011 11.21 Dec 31, 2012 11.74 Dec 31, 2013 12.36 Dec 31, 2014 8.78 Dec 31, 2015 2.84 Dec 31, 2016 3.81 Dec 31, 2017 3.58 Dec 31, 2018 2.58

Vega-Lite specification:
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Chart description: Paddy power.com has the largest number of natural search voices on this bar chart. The lowest is foxybingo.com. Some of the websites that have more searches than foxybingo are sites that I've never heard of or seen advertised.

Chart data: Response Share of natural search voice* paddypower.com 0.41 williamhill.com 0.29 coral.co.zk 0.27 ladbrokes.com 0.24 unibet.co.uk 0.22 skybet.com 0.21 betfair.com 0.2 bootybingo.com 0.18 oddschecker.com 0.16 foxybingo.com 0.15

Vega-Lite specification:
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Chart description: Paddy power showed the highest voice search rank at over 0.4. William hill showed the highest voice search rank at just under 0.3.

Chart data: Response Share of natural search voice* paddypower.com 0.41 williamhill.com 0.29 coral.co.zk 0.27 ladbrokes.com 0.24 unibet.co.uk 0.22 skybet.com 0.21 betfair.com 0.2 bootybingo.com 0.18 oddschecker.com 0.16 foxybingo.com 0.15

Vega-Lite specification:
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Chart description: the graph shows a very steady slow increase in population between the years 2015 to 2025 with those years being a prediction.

Chart data: Inhabitants in millions Year 88.41 2025* 87.53 2024* 86.67 2023* 85.81 2022* 85 2021* 84.15 2020* 83.27 2019 82.36 2018 81.42 2017 80.46 2016 79.48 2015

Vega-Lite specification:
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Chart description: Steady between 1990 and 2005Decrease from 2005 until 2018.

Chart data: Year Million metric tons of carbon dioxide equivalent Dec 31, 1989 128.1 Dec 31, 1994 129.7 Dec 31, 1999 133.3 Dec 31, 2004 136 Dec 31, 2009 124.5 Dec 31, 2010 122.4 Dec 31, 2011 121.4 Dec 31, 2012 120 Dec 31, 2013 121.3 Dec 31, 2014 123.5 Dec 31, 2015 125.9 Dec 31, 2016 126.1 Dec 31, 2017 124.4

Vega-Lite specification:
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Chart description: The number of children born has decreased at a steady rate over the years.

Chart data: Year Number of children born per woman Dec 31, 2007 3.48 Dec 31, 2008 3.48 Dec 31, 2009 3.47 Dec 31, 2010 3.46 Dec 31, 2011 3.45 Dec 31, 2012 3.43 Dec 31, 2013 3.4 Dec 31, 2014 3.37 Dec 31, 2015 3.32 Dec 31, 2016 3.28 Dec 31, 2017 3.23

Vega-Lite specification:
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Chart description: In Canada, the percentage of people living with COPD steadily increases by age group. Over 25% of people over the age of 85 have COPD.

Chart data: Percentage of people living with COPD Response 0.009 35-39 years 0.025 40-44 years 0.047 45-49 years 0.071 50-54 years 0.091 55-59 years 0.115 60-64 years 0.149 65-69 years 0.184 70-74 years 0.218 75-79 years 0.247 80-84 years 0.26 85 years and older

Vega-Lite specification:
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Chart description: 4 producers had less than 4,000 subscribers. 3 had over 8,000. The producer with the highest subscriber count is Trap City. None had under 2,000 subscribers (in 1000s).

Chart data: YouTube video producer Number of subscribers in thousands Trap City 9333.53 NikkieTutorials 8883 Martin Garrix 8102.89 Kwebbelkop 7898.74 Jelly 7643.67 Hardwell 4084.03 Armada Music 3261.56 saskiasdansschool 3032.43 NiceNienke 2622.09 Tiësto 2485.82

Vega-Lite specification:
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Chart description: China is responsible for the most amunt of trade value in woven cotton fabrics worldwide in 2018 by a very large amount. Asia as a continent is the leading producer aof woven cotton fabrics. USA is one of the lowest producers of woven cotton fabrics.

Chart data: Trade value in billion U.S. dollars Country 13799.8 China 2180.8 Pakistan 1839.3 India 1220.5 Italy 992.5 Turkey 834.4 China, Hong Kong SAR 772.4 Germany 530.6 United States 477.5 Spain 426.5 Japan

Vega-Lite specification:
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Chart description: Trade value of woven cotton fabrics is highest in China.The lowest trade value for woven cotton fabrics was Japan in 2018.

Chart data: Trade value in billion U.S. dollars Country 13799.8 China 2180.8 Pakistan 1839.3 India 1220.5 Italy 992.5 Turkey 834.4 China, Hong Kong SAR 772.4 Germany 530.6 United States 477.5 Spain 426.5 Japan

Vega-Lite specification:
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Chart description: There was a significant drop of the work related death from injuries between 2006 and 2009.

Chart data: Year Number of occupational injury deaths Dec 31, 1991 6217 Dec 31, 1992 6331 Dec 31, 1993 6632 Dec 31, 1994 6275 Dec 31, 1995 6202 Dec 31, 1996 6238 Dec 31, 1997 6055 Dec 31, 1998 6054 Dec 31, 1999 5920 Dec 31, 2000 5915 Dec 31, 2001 5534 Dec 31, 2002 5575 Dec 31, 2003 5764 Dec 31, 2004 5734 Dec 31, 2005 5840 Dec 31, 2006 5657 Dec 31, 2007 5214 Dec 31, 2008 4551 Dec 31, 2009 4690 Dec 31, 2010 4693 Dec 31, 2011 4628 Dec 31, 2012 4585 Dec 31, 2013 4821 Dec 31, 2014 4836 Dec 31, 2015 5190 Dec 31, 2016 5147 Dec 31, 2017 5250 Dec 31, 2018 5333

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Chart description: The share of gross margins has typically increased from 1995 to 2015 from 0.28 to 0.32.

Chart data: Year Share of gross margin Dec 31, 1992 0.282 Dec 31, 1993 0.283 Dec 31, 1994 0.272 Dec 31, 1995 0.291 Dec 31, 1996 0.313 Dec 31, 1997 0.295 Dec 31, 1998 0.297 Dec 31, 1999 0.298 Dec 31, 2000 0.307 Dec 31, 2001 0.301 Dec 31, 2002 0.289 Dec 31, 2003 0.309 Dec 31, 2004 0.317 Dec 31, 2005 0.285 Dec 31, 2006 0.309 Dec 31, 2007 0.325 Dec 31, 2008 0.304 Dec 31, 2009 0.337 Dec 31, 2010 0.322 Dec 31, 2011 0.307 Dec 31, 2012 0.311 Dec 31, 2013 0.319 Dec 31, 2014 0.335 Dec 31, 2015 0.321 Dec 31, 2016 0.327 Dec 31, 2017 0.331

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Chart description: There have been many rises and falls in the share of gross margin from 1993 to 2015. There has still been an overall increase in these years.

Chart data: Year Share of gross margin Dec 31, 1992 0.282 Dec 31, 1993 0.283 Dec 31, 1994 0.272 Dec 31, 1995 0.291 Dec 31, 1996 0.313 Dec 31, 1997 0.295 Dec 31, 1998 0.297 Dec 31, 1999 0.298 Dec 31, 2000 0.307 Dec 31, 2001 0.301 Dec 31, 2002 0.289 Dec 31, 2003 0.309 Dec 31, 2004 0.317 Dec 31, 2005 0.285 Dec 31, 2006 0.309 Dec 31, 2007 0.325 Dec 31, 2008 0.304 Dec 31, 2009 0.337 Dec 31, 2010 0.322 Dec 31, 2011 0.307 Dec 31, 2012 0.311 Dec 31, 2013 0.319 Dec 31, 2014 0.335 Dec 31, 2015 0.321 Dec 31, 2016 0.327 Dec 31, 2017 0.331

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Chart description: The share of the gross margin for US wholesale mechants tends to fluxtuate, but on average increased from 0.27 to 0.33 between the years of 1993 and 2018.

Chart data: Year Share of gross margin Dec 31, 1992 0.282 Dec 31, 1993 0.283 Dec 31, 1994 0.272 Dec 31, 1995 0.291 Dec 31, 1996 0.313 Dec 31, 1997 0.295 Dec 31, 1998 0.297 Dec 31, 1999 0.298 Dec 31, 2000 0.307 Dec 31, 2001 0.301 Dec 31, 2002 0.289 Dec 31, 2003 0.309 Dec 31, 2004 0.317 Dec 31, 2005 0.285 Dec 31, 2006 0.309 Dec 31, 2007 0.325 Dec 31, 2008 0.304 Dec 31, 2009 0.337 Dec 31, 2010 0.322 Dec 31, 2011 0.307 Dec 31, 2012 0.311 Dec 31, 2013 0.319 Dec 31, 2014 0.335 Dec 31, 2015 0.321 Dec 31, 2016 0.327 Dec 31, 2017 0.331

Vega-Lite specification:
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Chart description: Between 2009 to 2012, Apache Corporations total assets increased by approximately 30,000 million US dollars. In 2012, Apache Corporations total assets peaked and dramatically declined through to 2018 from 57,500 million US dollars to 20,00 million US dollars.

Chart data: Year Total assets in million U.S. dollars Dec 31, 2006 28635 Dec 31, 2007 29186 Dec 31, 2008 28186 Dec 31, 2009 43425 Dec 31, 2010 52051 Dec 31, 2011 56775 Dec 31, 2012 54828 Dec 31, 2013 44264 Dec 31, 2014 25500 Dec 31, 2015 22519 Dec 31, 2016 21922 Dec 31, 2017 21582 Dec 31, 2018 18107

Vega-Lite specification:
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Chart description: At the beginning of the chart the bar is in the minuses but then it peaks above but then in 2020 it plummets back down to -0.07.

Chart data: Year Budget balance in relation to GDP 2025* −0.0114 2024* −0.0168 2023* −0.0237 2022* −0.032 2021* −0.0429 2020* −0.073 2019 0.0027 2018 0.0091 2017 0.015 2016 0.0071 2015 −0.0061

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Chart description: Seems like the budget balance in relation to GDP tends to fall since 2020 by roughly half each year.

Chart data: Year Budget balance in relation to GDP 2025* −0.0114 2024* −0.0168 2023* −0.0237 2022* −0.032 2021* −0.0429 2020* −0.073 2019 0.0027 2018 0.0091 2017 0.015 2016 0.0071 2015 −0.0061

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Chart description: Chicken fingers heavily outweigh the share of common kid delivery / takeaway items with a whopping share of almost 0.4 of the market. Burgers follow at around 0.33 and pizza comes in at around 0.28. The food items with lower market share include french fries (0.12), hot dogs (0.13) and quesadillas (0.14).

Chart data: Share of kids' menus item is featured on Response 0.39 Chicken fingers/tenders/strips 0.34 Burgers 0.28 Pizza 0.27 Grilled cheese 0.21 Spaghetti 0.17 Chicken nuggets 0.16 Mac and cheese 0.15 Quesadillas 0.13 Hot dogs 0.12 French fries

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Chart description: Chicken fingers/tender/strips has the highest response followed by burgers then pizza and grilled cheese midway with rest of the items about the same.

Chart data: Share of kids' menus item is featured on Response 0.39 Chicken fingers/tenders/strips 0.34 Burgers 0.28 Pizza 0.27 Grilled cheese 0.21 Spaghetti 0.17 Chicken nuggets 0.16 Mac and cheese 0.15 Quesadillas 0.13 Hot dogs 0.12 French fries

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Chart description: The majority of child abuse perpetrators are aged 25-34 years old.

Chart data: Age Number of perpetrators 6 - 11 years 894 12 - 17 years 9448 18 - 24 years 84819 25 - 34 years 228989 35 - 44 years 141251 45 - 54 years 48263 55 - 64 years 16413 65 - 74 years 4818 75 and older 2378 Unknown 9092

Vega-Lite specification:
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Chart description: The highest ratio of government expenditure to GDP was in 2015 (0.45). The lowest ratio is predicted to be 2025 (0.34). Apart from.2015 and 2016, all other years will have a ratio below 0.4.

Chart data: Ratio of government expenditure to GDP Year 0.3465 2025* 0.3526 2024* 0.3605 2023* 0.369 2022* 0.3915 2021* 0.3964 2020* 0.3824 2019 0.3817 2018 0.3921 2017 0.4167 2016 0.4581 2015

Vega-Lite specification:
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Chart description: In  2015 the ratio of Government expenditure to GDP in Algeria is 0.45 which is the highest value.  A steady decline is seen to 0.38 in 2018 and 2019.  A small increase to  0.39 is predicted for 2020.  The predictions for the subsequent years show a steady decline reducing steadily to 0.35 by 2025.

Chart data: Ratio of government expenditure to GDP Year 0.3465 2025* 0.3526 2024* 0.3605 2023* 0.369 2022* 0.3915 2021* 0.3964 2020* 0.3824 2019 0.3817 2018 0.3921 2017 0.4167 2016 0.4581 2015

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Chart description: Life expectancy at birth rises from 55 in 2008 to 60 in 2018.

Chart data: Year Life expectancy at birth in years Dec 31, 2007 55.72 Dec 31, 2008 56.49 Dec 31, 2009 57.23 Dec 31, 2010 57.93 Dec 31, 2011 58.57 Dec 31, 2012 59.15 Dec 31, 2013 59.67 Dec 31, 2014 60.12 Dec 31, 2015 60.53 Dec 31, 2016 60.9 Dec 31, 2017 61.25

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Chart description: Approximately 10% of respondents store every category of data on digital devices. The type of data least likely to be stored on a digital device is passwords for work VPN/intranet. The full names of categories of data are obscured so it is possible that the information is misleading. Approximately 10% of respondents store no categories of data on digital devices.

Chart data: Response Share of respondents Photos/videos/music/e-books 0.72 Personal e-mail messages 0.62 Address book/phone contacts 0.56 Files for personal use 0.51 SMS or MMS 0.39 Files for work use 0.37 Work e-mails messages 0.34 Passwords for personal e-mail accounts 0.34 Passwords for personal online accounts 0.33 Sensitive info I would not want others to see 0.25 Banking details 0.23 Other payment credentials 0.2 Passwords for your work e-mail account 0.19 Passwords for work VPN/intranet access 0.12 Any financial data 0.28 Any passwords or account details/logins 0.48 Any private/personal information 0.88

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