delen/vistext huggingface dataset:
Chart description: The highest distribution of child population was around the 2015 mark whereas the lowest distribution in population was between 1981 and 1993.

Chart data: Family structure No Parent Dec 31, 1979 0.04 Dec 31, 1980 0.04 Dec 31, 1981 0.03 Dec 31, 1982 0.03 Dec 31, 1983 0.03 Dec 31, 1984 0.03 Dec 31, 1985 0.03 Dec 31, 1986 0.03 Dec 31, 1987 0.03 Dec 31, 1988 0.03 Dec 31, 1989 0.03 Dec 31, 1990 0.03 Dec 31, 1991 0.03 Dec 31, 1992 0.03 Dec 31, 1993 0.04 Dec 31, 1994 0.04 Dec 31, 1995 0.04 Dec 31, 1996 0.04 Dec 31, 1997 0.04 Dec 31, 1998 0.04 Dec 31, 1999 0.04 Dec 31, 2000 0.04 Dec 31, 2001 0.04 Dec 31, 2002 0.041 Dec 31, 2003 0.043 Dec 31, 2004 0.045 Dec 31, 2005 0.046 Dec 31, 2006 0.035 Dec 31, 2007 0.038 Dec 31, 2008 0.04 Dec 31, 2009 0.041 Dec 31, 2010 0.039 Dec 31, 2011 0.036 Dec 31, 2012 0.037 Dec 31, 2013 0.038 Dec 31, 2014 0.039 Dec 31, 2015 0.038 Dec 31, 2016 0.04 Dec 31, 2017 0.043 Dec 31, 2018 0.04

Vega-Lite specification:
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Chart description: Between 1980 and 1990 the No Parent did not change. From 2000 onwards the No Parent fluctuated and does not seem to have settled down since then.

Chart data: Family structure No Parent Dec 31, 1979 0.04 Dec 31, 1980 0.04 Dec 31, 1981 0.03 Dec 31, 1982 0.03 Dec 31, 1983 0.03 Dec 31, 1984 0.03 Dec 31, 1985 0.03 Dec 31, 1986 0.03 Dec 31, 1987 0.03 Dec 31, 1988 0.03 Dec 31, 1989 0.03 Dec 31, 1990 0.03 Dec 31, 1991 0.03 Dec 31, 1992 0.03 Dec 31, 1993 0.04 Dec 31, 1994 0.04 Dec 31, 1995 0.04 Dec 31, 1996 0.04 Dec 31, 1997 0.04 Dec 31, 1998 0.04 Dec 31, 1999 0.04 Dec 31, 2000 0.04 Dec 31, 2001 0.04 Dec 31, 2002 0.041 Dec 31, 2003 0.043 Dec 31, 2004 0.045 Dec 31, 2005 0.046 Dec 31, 2006 0.035 Dec 31, 2007 0.038 Dec 31, 2008 0.04 Dec 31, 2009 0.041 Dec 31, 2010 0.039 Dec 31, 2011 0.036 Dec 31, 2012 0.037 Dec 31, 2013 0.038 Dec 31, 2014 0.039 Dec 31, 2015 0.038 Dec 31, 2016 0.04 Dec 31, 2017 0.043 Dec 31, 2018 0.04

Vega-Lite specification:
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Chart description: The highest distribution was in 2010 and the lowest was in 2017.

Chart data: Year Industry Dec 31, 2009 0.1888 Dec 31, 2010 0.1955 Dec 31, 2011 0.1792 Dec 31, 2012 0.1777 Dec 31, 2013 0.1756 Dec 31, 2014 0.1746 Dec 31, 2015 0.1747 Dec 31, 2016 0.1708 Dec 31, 2017 0.189 Dec 31, 2018 0.1911 Dec 31, 2019 0.192

Vega-Lite specification:
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Chart description: the share of economic sectors in the GDP in Kiribati from 2008 to 2018 shows that the chart has a positive correlation.

Chart data: Year Industry Dec 31, 2007 0.109 Dec 31, 2008 0.1033 Dec 31, 2009 0.1186 Dec 31, 2010 0.1283 Dec 31, 2011 0.1364 Dec 31, 2012 0.1447 Dec 31, 2013 0.1439 Dec 31, 2014 0.1522 Dec 31, 2015 0.1469 Dec 31, 2016 0.1249 Dec 31, 2017 0.1247

Vega-Lite specification:
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Chart description: The industry share steadily rose from 0.1 to 0.15 from 2009 to 2015. From 2015 to 2017 it dropped rapidly from 0.15 to around 0.12.

Chart data: Year Industry Dec 31, 2007 0.109 Dec 31, 2008 0.1033 Dec 31, 2009 0.1186 Dec 31, 2010 0.1283 Dec 31, 2011 0.1364 Dec 31, 2012 0.1447 Dec 31, 2013 0.1439 Dec 31, 2014 0.1522 Dec 31, 2015 0.1469 Dec 31, 2016 0.1249 Dec 31, 2017 0.1247

Vega-Lite specification:
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Chart description: From 2008 to 2018 the services provided have stayed fairly linear.

Chart data: Year Services Dec 31, 2007 0.6302 Dec 31, 2008 0.6172 Dec 31, 2009 0.6354 Dec 31, 2010 0.6162 Dec 31, 2011 0.6106 Dec 31, 2012 0.6079 Dec 31, 2013 0.6166 Dec 31, 2014 0.6071 Dec 31, 2015 0.6177 Dec 31, 2016 0.6331 Dec 31, 2017 0.6326

Vega-Lite specification:
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Chart description: There is a peak in the population grown early in the chart, which then steadily declines into a dip in the latter years to the right of the chart. The population remains between around 90,000 to 110,000 across the 10 year period.

Chart data: Year 20-39 years Dec 31, 2020 109714 Dec 31, 2021 110981 Dec 31, 2022 112007 Dec 31, 2023 108575 Dec 31, 2024 105558 Dec 31, 2025 102694 Dec 31, 2026 100063 Dec 31, 2027 97389 Dec 31, 2028 97648 Dec 31, 2029 98237

Vega-Lite specification:
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Chart description: The graph shows that more and more 80+ year old people were living longer over the years.

Chart data: Year 80 years and older Dec 31, 2020 12804 Dec 31, 2021 13020 Dec 31, 2022 13422 Dec 31, 2023 13885 Dec 31, 2024 14413 Dec 31, 2025 15074 Dec 31, 2026 15708 Dec 31, 2027 16448 Dec 31, 2028 17274 Dec 31, 2029 18084

Vega-Lite specification:
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Chart description: According to the x-axis those aged 80 and older grow in population in almost 2-5,000 people every 2-4 years.

Chart data: Year 80 years and older Dec 31, 2020 12804 Dec 31, 2021 13020 Dec 31, 2022 13422 Dec 31, 2023 13885 Dec 31, 2024 14413 Dec 31, 2025 15074 Dec 31, 2026 15708 Dec 31, 2027 16448 Dec 31, 2028 17274 Dec 31, 2029 18084

Vega-Lite specification:
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Chart description: In general the spending on all shown will decrease.

Chart data: Response Decrease Cybersecurity 0.03 Hybrid or multi-cloud 0.07 Automation 0.13 Smart analytics 0.11 AI 0.15 5G 0.1 Edge computing 0.12 IoT 0.16 AR/VR 0.22 Blockchain 0.24

Vega-Lite specification:
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Chart description: I do not understand the correlation in this task at all.

Chart data: Public insurance only Uninsured all year 95 359 116 394 140 363 177 351 154 383 149 389 229 544 221 482 326 634 385 613 441 583 496 551 352 561 384 449 392 453 359 348 308 346 207 304 162 274 98 155

Vega-Lite specification:
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Chart description: There have been sharp peaks and troughs here with a record low in 2010 before they started to climb back up.

Chart data: Year Labour Dec 31, 1996 0.42 Dec 31, 1997 0.45 Dec 31, 1998 0.43 Dec 31, 1999 0.4 Dec 31, 2000 0.45 Dec 31, 2001 0.41 Dec 31, 2002 0.37 Dec 31, 2003 0.32 Dec 31, 2004 0.4 Dec 31, 2005 0.33 Dec 31, 2006 0.34 Dec 31, 2007 0.27 Dec 31, 2008 0.26 Dec 31, 2009 0.2 Dec 31, 2010 0.32 Dec 31, 2011 0.36

Vega-Lite specification:
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Chart description: The points are plotted not just on the lines representing every 2 years, or every .02, but also in between those lines, or every 1 year, and every .01.

Chart data: Year Liberal Democrat Dec 31, 1996 0.1 Dec 31, 1997 0.1 Dec 31, 1998 0.1 Dec 31, 1999 0.1 Dec 31, 2000 0.13 Dec 31, 2001 0.11 Dec 31, 2002 0.11 Dec 31, 2003 0.13 Dec 31, 2004 0.13 Dec 31, 2005 0.12 Dec 31, 2006 0.09 Dec 31, 2007 0.09 Dec 31, 2008 0.1 Dec 31, 2009 0.13 Dec 31, 2010 0.07 Dec 31, 2011 0.06

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Chart description: In general, the percentage decreases. There are noticeable rises in percentage approximately every five years, in around 2000, 2005 and 2010. In 1998 the percentage is over 0.8. After 2006 the percentage is consistently below 0.8.

Chart data: Year Any party Dec 31, 1996 0.83 Dec 31, 1997 0.84 Dec 31, 1998 0.82 Dec 31, 1999 0.81 Dec 31, 2000 0.85 Dec 31, 2001 0.81 Dec 31, 2002 0.77 Dec 31, 2003 0.77 Dec 31, 2004 0.82 Dec 31, 2005 0.77 Dec 31, 2006 0.75 Dec 31, 2007 0.75 Dec 31, 2008 0.73 Dec 31, 2009 0.77 Dec 31, 2010 0.73 Dec 31, 2011 0.76

Vega-Lite specification:
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Chart description: Facebooks advertising revenue seems to be growing exponentially over time. The revenue has increased each period, by a quantity greater than the last period.

Chart data: Year Advertising revenue Dec 31, 2008 764 Dec 31, 2009 1868 Dec 31, 2010 3154 Dec 31, 2011 4279 Dec 31, 2012 6986 Dec 31, 2013 11492 Dec 31, 2014 17079 Dec 31, 2015 26885 Dec 31, 2016 39942 Dec 31, 2017 55013 Dec 31, 2018 69655

Vega-Lite specification:
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Chart description: Lombardy has the greatest number of schools in Italian regions.

Chart data: Public, state region of Italy 2168 Lombardy 1490 Campania 1400 Sicily 1373 Veneto 1268 Piedmont 1122 Lazio 939 Emilia-Romagna 929 Tuscany 833 Calabria 726 Apulia 477 Sardinia 438 Marche 420 Liguria 400 Abruzzo 364 Friuli-Venezia Giulia 285 Umbria 198 Basilicata 126 Molise 0 Aosta Valley 0 Trentino-South Tyrol

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Chart description: most areas have state schools. only 3 areas have public schools, Trentino South has the most public schools and campania has the least.

Chart data: region of Italy Public, not state Lombardy 0 Campania 1 Sicily 0 Veneto 0 Piedmont 0 Lazio 0 Emilia-Romagna 0 Tuscany 0 Calabria 0 Apulia 0 Sardinia 0 Marche 0 Liguria 0 Abruzzo 0 Friuli-Venezia Giulia 0 Umbria 0 Basilicata 0 Molise 0 Aosta Valley 81 Trentino-South Tyrol 530

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Chart description: Although the chart says it gives data from online teens and parents, it only shows data from online teens. 12 areas of concern are plotted. The highest area of concern is preventing identity theft. The second highest is keeping my devices secure. The third highest is how to identify fake emails. The lowest area of concern is how to begin a conversation with.

Chart data: Response Online teens Preventing identity theft 0.55 Keeping my devices secure 0.41 How to identify fake emails, social posts, and texts 0.39 How to determine if a website is secure 0.35 How to report serious problems I encounter online 0.25 How young people are lured, groomed, or recruited online 0.27 How to manage my privacy online 0.32 Dealing with a bully 0.3 Blocking people 0.3 Risks of sexting 0.3 Adjusting settings on social networks 0.21 How to begin a conversation with (kids/my parents) about staying safe online 0.17

Vega-Lite specification:
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Chart description: The highest response for which topic is the most important online safety topic for teens is preventing identity theft. The topic with the least responses is how to begin a conversation with. None of the responses received 0 votes and many were in the middle area of a score around 0.25.

Chart data: Response Online teens Preventing identity theft 0.55 Keeping my devices secure 0.41 How to identify fake emails, social posts, and texts 0.39 How to determine if a website is secure 0.35 How to report serious problems I encounter online 0.25 How young people are lured, groomed, or recruited online 0.27 How to manage my privacy online 0.32 Dealing with a bully 0.3 Blocking people 0.3 Risks of sexting 0.3 Adjusting settings on social networks 0.21 How to begin a conversation with (kids/my parents) about staying safe online 0.17

Vega-Lite specification:
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Chart description: Ontario has had the highest number of charter flights than any other providence or territory measured, coming in at 54,000 for 2017 and 2018.Quebec comes in as a close second at  48,000 for the same time frame. The lowest, Prince Edward Island, only had 1000 flights. All the other regions were in between the Ontario and Prince Edward Island.

Chart data: region of Canada 2017 Prince Edward Islan  328; region of Canada: Prince Edward Island Yukon Territorie  1886; region of Canada: Yukon Territories NW Territorie  1613; region of Canada: NW Territories Nova Scoti  2554; region of Canada: Nova Scotia Nunavu  2644; region of Canada: Nunavut Newfoundlan  5719; region of Canada: Newfoundland New Brunswic  6636; region of Canada: New Brunswick Manitob  13416; region of Canada: Manitoba Saskatchewa  10777; region of Canada: Saskatchewan British Columbi  26524; region of Canada: British Columbia Albert  34770; region of Canada: Alberta Quebe  47469; region of Canada: Quebec Ontari  51997; region of Canada: Ontario

Vega-Lite specification:
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Chart description: The number of charter flights was the highest in Ontario and Quebec, and the lowest in Prince Edward Island. There were less than 10,000 charter flights in 8 out 14 regions in Canada.

Chart data: region of Canada 2018 Prince Edward Islan  291; region of Canada: Prince Edward Island Yukon Territorie  1842; region of Canada: Yukon Territories NW Territorie  1886; region of Canada: NW Territories Nova Scoti  2510; region of Canada: Nova Scotia Nunavu  3374; region of Canada: Nunavut Newfoundlan  5564; region of Canada: Newfoundland New Brunswic  6779; region of Canada: New Brunswick Manitob  10411; region of Canada: Manitoba Saskatchewa  12764; region of Canada: Saskatchewan British Columbi  27948; region of Canada: British Columbia Albert  36914; region of Canada: Alberta Quebe  48463; region of Canada: Quebec Ontari  55098; region of Canada: Ontario

Vega-Lite specification:
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Chart description: We can see from the graph that Alberta, British Columbia, Quebec and Ontario are the most busy airports. It can also be noted that Prince Edward Island, Yukon Territories and NW territories are the least busy airports.

Chart data: region of Canada 2018 Prince Edward Islan  291; region of Canada: Prince Edward Island Yukon Territorie  1842; region of Canada: Yukon Territories NW Territorie  1886; region of Canada: NW Territories Nova Scoti  2510; region of Canada: Nova Scotia Nunavu  3374; region of Canada: Nunavut Newfoundlan  5564; region of Canada: Newfoundland New Brunswic  6779; region of Canada: New Brunswick Manitob  10411; region of Canada: Manitoba Saskatchewa  12764; region of Canada: Saskatchewan British Columbi  27948; region of Canada: British Columbia Albert  36914; region of Canada: Alberta Quebe  48463; region of Canada: Quebec Ontari  55098; region of Canada: Ontario

Vega-Lite specification:
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Chart description: Ontario and Quebec have the most flights while Prince Edward Island has very little.

Chart data: region of Canada 2018 Prince Edward Islan  291; region of Canada: Prince Edward Island Yukon Territorie  1842; region of Canada: Yukon Territories NW Territorie  1886; region of Canada: NW Territories Nova Scoti  2510; region of Canada: Nova Scotia Nunavu  3374; region of Canada: Nunavut Newfoundlan  5564; region of Canada: Newfoundland New Brunswic  6779; region of Canada: New Brunswick Manitob  10411; region of Canada: Manitoba Saskatchewa  12764; region of Canada: Saskatchewan British Columbi  27948; region of Canada: British Columbia Albert  36914; region of Canada: Alberta Quebe  48463; region of Canada: Quebec Ontari  55098; region of Canada: Ontario

Vega-Lite specification:
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Chart description: Scotish imports have fallen steadily from 2000 to 2015. The decline in imports was slower between 2007 and 2012.

Chart data: Year Imports Dec 31, 1999 −53.71 Dec 31, 2000 −53.95 Dec 31, 2001 −56.15 Dec 31, 2002 −57.24 Dec 31, 2003 −60.47 Dec 31, 2004 −63.4 Dec 31, 2005 −67 Dec 31, 2006 −73.7 Dec 31, 2007 −74.56 Dec 31, 2008 −73.45 Dec 31, 2009 −74.12 Dec 31, 2010 −77.25 Dec 31, 2011 −76.27 Dec 31, 2012 −82.21 Dec 31, 2013 −84.16 Dec 31, 2014 −87.21 Dec 31, 2015 −88.49 Dec 31, 2016 −92.09 Dec 31, 2017 −93.45

Vega-Lite specification:
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