delen/vistext huggingface dataset:
Chart description: Monthly sales of OTC products were highest in January & October from 2015-2019.

Chart data: Month 2015 De  190.41; Month: Dec No  180.77; Month: Nov Oc  200.88; Month: Oct Se  185.57; Month: Sep Au  179.13; Month: Aug Ju  183.58; Month: Jul Ju  175.28; Month: Jun Ma  173.58; Month: May Ap  166.46; Month: Apr Ma  175.44; Month: Mar Fe  177.87; Month: Feb Ja  200.76; Month: Jan

Vega-Lite specification:
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Chart description: There is no pattern to be gleamed  since there is improperly labeled or incomplete information in the x and y axis to find trends from January 2015 to April 2019.

Chart data: Month 2015 De  190.41; Month: Dec No  180.77; Month: Nov Oc  200.88; Month: Oct Se  185.57; Month: Sep Au  179.13; Month: Aug Ju  183.58; Month: Jul Ju  175.28; Month: Jun Ma  173.58; Month: May Ap  166.46; Month: Apr Ma  175.44; Month: Mar Fe  177.87; Month: Feb Ja  200.76; Month: Jan

Vega-Lite specification:
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Chart description: 2017 WAS A FAIRLY EVEN YEAR . 2016 HAD A GREATER RANGE.

Chart data: 2017 2016 130.0  206.43; 2017: 130.03 124.7  182.07; 2017: 124.77 131.5  191.96; 2017: 131.53 122.9  178.01; 2017: 122.94 122.2  180.07; 2017: 122.21 121.9  182.45; 2017: 121.93 120.  182.73; 2017: 120.7 118.6  177.29; 2017: 118.65 119.0  187.98; 2017: 119.04 123.3  184.51; 2017: 123.37 114.9  181.57; 2017: 114.96 131.5  204.11; 2017: 131.55

Vega-Lite specification:
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Chart description: One of the axes should be labelled "million Canadian dollars". The chart makes little sense with both axes labelled with years.

Chart data: 2016 2018 206.43 133.87 182.07 123.85 191.96 132.77 178.01 126.59 180.07 123.82 182.45 122.94 182.73 122.75 177.29 125.79 187.98 115.99 184.51 125.95 181.57 113.11 204.11 133.04

Vega-Lite specification:
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Chart description: From 2012-2018 the number of followers increased rapidly. The followers then continues growing but let rapidly to 2019. After 2019, there was a slight decrease in followers.

Chart data: Month Twitter followers Aug 31, 2012 0.13 Jan 31, 2013 0.17 Aug 31, 2013 0.23 Feb 28, 2014 0.29 Aug 31, 2014 0.45 Feb 28, 2015 0.67 Aug 31, 2015 0.9 Feb 29, 2016 1.06 Aug 31, 2016 1.49 Feb 28, 2017 1.95 Aug 31, 2017 2.5 Feb 28, 2018 3.13 Aug 31, 2018 3.16 Feb 28, 2019 3.16 Aug 31, 2019 3.3 Feb 29, 2020 3.28 Aug 31, 2020 3.2

Vega-Lite specification:
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Chart description: The share of Dollar General's seasonal merchandise sales in the US between 2009 and 2019 has declined. It began at just below 0.15 and has dropped to just above 0.10 by 2019. There has been a slower decline from 2014 to 2019, but prior to this there was a bigger though consistant decline between 2009 and 2014.

Chart data: Year Seasonal Dec 31, 2008 0.145 Dec 31, 2009 0.145 Dec 31, 2010 0.138 Dec 31, 2011 0.136 Dec 31, 2012 0.129 Dec 31, 2013 0.124 Dec 31, 2014 0.124 Dec 31, 2015 0.122 Dec 31, 2016 0.121 Dec 31, 2017 0.119 Dec 31, 2018 0.117

Vega-Lite specification:
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Chart description: there has been a steady decline in the sales between 2010 and 2018the sales between 2010 and 2018 decreased by .05 cents.

Chart data: Year Seasonal Dec 31, 2008 0.145 Dec 31, 2009 0.145 Dec 31, 2010 0.138 Dec 31, 2011 0.136 Dec 31, 2012 0.129 Dec 31, 2013 0.124 Dec 31, 2014 0.124 Dec 31, 2015 0.122 Dec 31, 2016 0.121 Dec 31, 2017 0.119 Dec 31, 2018 0.117

Vega-Lite specification:
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Chart description: Clothing and apparel is by far the most popular, with over double the second most popular. Excluding clothing and apparel, all the other categories are quite similar in popularity varying from around 0.08 to 0.16.

Chart data: Retail website Response 0.08 Books 0.35 Clothing and apparel 0.1 Consumer packaged goods 0.09 Food/grocery 0.11 Furniture 0.15 Household goods 0.09 Luxury goods 0.11 Office supplies 0.1 Pet supplies 0.1 Sporting goods 0.1 Tools and home improvement 0.16 Health and beauty

Vega-Lite specification:
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Chart description: Imports is not actually measured on the chart. Export has increased over the years eventually doubling in 2019. There was also a peak in 2011.

Chart data: Year Exports Dec 31, 2005 1145 Dec 31, 2006 1434 Dec 31, 2007 1887 Dec 31, 2008 1935 Dec 31, 2009 2300 Dec 31, 2010 2785 Dec 31, 2011 2452 Dec 31, 2012 2588 Dec 31, 2013 2572 Dec 31, 2014 2267 Dec 31, 2015 2257 Dec 31, 2016 2860 Dec 31, 2017 3156 Dec 31, 2018 3022

Vega-Lite specification:
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Chart description: New York has the largest population at 5,000,000. Boston has the smallest population at just over 1,000,000.

Chart data: 45 to 64 years largest metropolitan areas in the US 5022623 New York - Northern New Jersey - Long Island, NY-NJ-PA 3065350 Los Angeles - Long Beach - Santa Ana, CA 2415975 Chicago - Naperville - Joliet, IL-IN-WI 1489928 Dallas - Fort Worth - Arlington, TX 1593846 Philadelphia - Camden - Wilmington, PA-NJ-DE-MD 1401077 Houston - Sugar Land - Baytown, TX 1420578 Miami - Fort Lauderdale - Pompano Beach, FL 1436495 Washington - Arlington - Alexandria, DC-VA-MD-WV 1342201 Atlanta - Sandy Springs - Marietta, GA 1245644 Boston - Cambridge - Quincy, MA-NH

Vega-Lite specification:
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Chart description: New York - Northern New Jersey has the highest amount of people age 45 to 64 with 5,000,000. The average amount of people aged 45 to 64 with the other areas is around 1,200,000.

Chart data: 45 to 64 years largest metropolitan areas in the US 5022623 New York - Northern New Jersey - Long Island, NY-NJ-PA 3065350 Los Angeles - Long Beach - Santa Ana, CA 2415975 Chicago - Naperville - Joliet, IL-IN-WI 1489928 Dallas - Fort Worth - Arlington, TX 1593846 Philadelphia - Camden - Wilmington, PA-NJ-DE-MD 1401077 Houston - Sugar Land - Baytown, TX 1420578 Miami - Fort Lauderdale - Pompano Beach, FL 1436495 Washington - Arlington - Alexandria, DC-VA-MD-WV 1342201 Atlanta - Sandy Springs - Marietta, GA 1245644 Boston - Cambridge - Quincy, MA-NH

Vega-Lite specification:
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Chart description: It can be seen that the minimum Population line is about 1.2 million which Represent Boston where as the largest population centre is New York CityRepresents about 5 million people.

Chart data: 45 to 64 years largest metropolitan areas in the US 5022623 New York - Northern New Jersey - Long Island, NY-NJ-PA 3065350 Los Angeles - Long Beach - Santa Ana, CA 2415975 Chicago - Naperville - Joliet, IL-IN-WI 1489928 Dallas - Fort Worth - Arlington, TX 1593846 Philadelphia - Camden - Wilmington, PA-NJ-DE-MD 1401077 Houston - Sugar Land - Baytown, TX 1420578 Miami - Fort Lauderdale - Pompano Beach, FL 1436495 Washington - Arlington - Alexandria, DC-VA-MD-WV 1342201 Atlanta - Sandy Springs - Marietta, GA 1245644 Boston - Cambridge - Quincy, MA-NH

Vega-Lite specification:
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Chart description: New York shows by far the largest population between 45 - 64 years old, hitting 5 million. Atlanta, Dallas, Houston, Miami,  and Philadelphia all show similar figures of around 1.4 million.

Chart data: 45 to 64 years largest metropolitan areas in the US 5022623 New York - Northern New Jersey - Long Island, NY-NJ-PA 3065350 Los Angeles - Long Beach - Santa Ana, CA 2415975 Chicago - Naperville - Joliet, IL-IN-WI 1489928 Dallas - Fort Worth - Arlington, TX 1593846 Philadelphia - Camden - Wilmington, PA-NJ-DE-MD 1401077 Houston - Sugar Land - Baytown, TX 1420578 Miami - Fort Lauderdale - Pompano Beach, FL 1436495 Washington - Arlington - Alexandria, DC-VA-MD-WV 1342201 Atlanta - Sandy Springs - Marietta, GA 1245644 Boston - Cambridge - Quincy, MA-NH

Vega-Lite specification:
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Chart description: There was a sharp reduction of refugees from 2000 to 2005, then a sharp rise from 2005 to around 2007 or 2008. Following that there's a steady flat period until 2012 or 2013 when there's a fast and sharp rise of refugees until 2020from roughly 11 million to 21 million.

Chart data: Year Refugees Dec 31, 1999 12129079 Dec 31, 2000 12116301 Dec 31, 2001 10593526 Dec 31, 2002 9592247 Dec 31, 2003 9572719 Dec 31, 2004 8661293 Dec 31, 2005 9876924 Dec 31, 2006 11390108 Dec 31, 2007 10488934 Dec 31, 2008 10395724 Dec 31, 2009 10548848 Dec 31, 2010 10403951 Dec 31, 2011 10497028 Dec 31, 2012 11698238 Dec 31, 2013 14384302 Dec 31, 2014 16110280 Dec 31, 2015 17184291 Dec 31, 2016 19940568 Dec 31, 2017 20359556 Dec 31, 2018 20444819

Vega-Lite specification:
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Chart description: Higher levels of neoplasm may result in a higher chance of cerebrovascular disease.

Chart data: Malignant neoplasm of trachea, bronchus and lung Cerebrovascular diseases 18587 15437 18825 15472 19328 15991 19164 16519 19569 16199 19488 16222 19304 16153 19604 16468 19426 19244 19746 19133 19883 20323 19118 18308 19637 21264 19473 21862 19502 22969 19792 24930 20270 25538 20437 25208

Vega-Lite specification:
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Chart description: The chart shows that the lower the malignant neoplasm, the higher the deaths from dementia and Alzheimer's.

Chart data: Dementia and Alzheimer disease Malignant neoplasm of trachea, bronchus and lung 26579 18587 25880 18825 23572 19328 22794 19164 19179 19569 18222 19488 16792 19304 14453 19604 13288 19426 12148 19746 12128 19883 10638 19118 9538 19637 9084 19473 8958 19502 9145 19792 9135 20270 8890 20437

Vega-Lite specification:
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Chart description: The highest number of deaths (17000) caused by influenza and pneumonia were caused when the Malignant neoplasm of trachea, bronchus and lung lied at 19792. The lowest number of deaths (12500) caused by influenza and pneumonia were caused when the Malignant neoplasm of trachea, bronchus and lung lied at 19569. There doesn't seem to be a trend.

Chart data: Malignant neoplasm of trachea, bronchus and lung Influenza and pneumonia 18587 14708 18825 13746 19328 13677 19164 14460 19569 12334 19488 13463 19304 13132 19604 13019 19426 14025 19746 14775 19883 15129 19118 14819 19637 15091 19473 15986 19502 15648 19792 17355 20270 16284 20437 15985

Vega-Lite specification:
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Chart description: Deaths have gone down before 2010 significantly. Onwards from then, the number has fluctuated a lot.

Chart data: Year Influenza and pneumonia Dec 31, 2000 15985 Dec 31, 2001 16284 Dec 31, 2002 17355 Dec 31, 2003 15648 Dec 31, 2004 15986 Dec 31, 2005 15091 Dec 31, 2006 14819 Dec 31, 2007 15129 Dec 31, 2008 14775 Dec 31, 2009 14025 Dec 31, 2010 13019 Dec 31, 2011 13132 Dec 31, 2012 13463 Dec 31, 2013 12334 Dec 31, 2014 14460 Dec 31, 2015 13677 Dec 31, 2016 13746 Dec 31, 2017 14708

Vega-Lite specification:
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Chart description: Big decrease in heart disease between 2001 to 2010Steady decrease from 2010 to 2018.

Chart data: Year Ischaemic heart diseases Dec 31, 2000 66399 Dec 31, 2001 64473 Dec 31, 2002 62400 Dec 31, 2003 58565 Dec 31, 2004 56135 Dec 31, 2005 52594 Dec 31, 2006 51386 Dec 31, 2007 49473 Dec 31, 2008 47149 Dec 31, 2009 46430 Dec 31, 2010 43040 Dec 31, 2011 42677 Dec 31, 2012 42885 Dec 31, 2013 41195 Dec 31, 2014 41778 Dec 31, 2015 40117 Dec 31, 2016 40789 Dec 31, 2017 40214

Vega-Lite specification:
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Chart description: There has been a steady decline in Ischaemic heart disease deaths in the Uk between 2001-2011, nearly 70,000 pa to just over 40,000 pa.  From 2011, the deaths have levelled of with little change  up to 2018.

Chart data: Year Ischaemic heart diseases Dec 31, 2000 66399 Dec 31, 2001 64473 Dec 31, 2002 62400 Dec 31, 2003 58565 Dec 31, 2004 56135 Dec 31, 2005 52594 Dec 31, 2006 51386 Dec 31, 2007 49473 Dec 31, 2008 47149 Dec 31, 2009 46430 Dec 31, 2010 43040 Dec 31, 2011 42677 Dec 31, 2012 42885 Dec 31, 2013 41195 Dec 31, 2014 41778 Dec 31, 2015 40117 Dec 31, 2016 40789 Dec 31, 2017 40214

Vega-Lite specification:
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Chart description: A GDP in agriculture in Pakistan increased slightly in 2011. It remained stable until 2015. After 2015, it started going down slowly.

Chart data: Year Agriculture Dec 31, 2008 0.2272 Dec 31, 2009 0.2328 Dec 31, 2010 0.2513 Dec 31, 2011 0.2371 Dec 31, 2012 0.2383 Dec 31, 2013 0.2374 Dec 31, 2014 0.2382 Dec 31, 2015 0.2322 Dec 31, 2016 0.2293 Dec 31, 2017 0.2286 Dec 31, 2018 0.2204

Vega-Lite specification:
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Chart description: Industry went up steadily from just before 2010 till 2012. It then declined till 2017 when it started to rise again.

Chart data: Year Industry Dec 31, 2008 0.1919 Dec 31, 2009 0.1972 Dec 31, 2010 0.205 Dec 31, 2011 0.213 Dec 31, 2012 0.2022 Dec 31, 2013 0.2003 Dec 31, 2014 0.1909 Dec 31, 2015 0.1826 Dec 31, 2016 0.178 Dec 31, 2017 0.1791 Dec 31, 2018 0.1834

Vega-Lite specification:
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Chart description: The industry has been the highest in 2012. It has also been the lowest between 2016 and 2018. It is been growing since 2018.

Chart data: Year Industry Dec 31, 2008 0.1919 Dec 31, 2009 0.1972 Dec 31, 2010 0.205 Dec 31, 2011 0.213 Dec 31, 2012 0.2022 Dec 31, 2013 0.2003 Dec 31, 2014 0.1909 Dec 31, 2015 0.1826 Dec 31, 2016 0.178 Dec 31, 2017 0.1791 Dec 31, 2018 0.1834

Vega-Lite specification:
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Chart description: The GDP in Pakistan across economic sectors increased between 2009 and 2012. The rate then steadily fell between 2012 and 2017. It increased again from 2017 to 2019. Overall, there has been an overall decrease in GDP between 2009 and 2019, however only by a very small amount.

Chart data: Year Industry Dec 31, 2008 0.1919 Dec 31, 2009 0.1972 Dec 31, 2010 0.205 Dec 31, 2011 0.213 Dec 31, 2012 0.2022 Dec 31, 2013 0.2003 Dec 31, 2014 0.1909 Dec 31, 2015 0.1826 Dec 31, 2016 0.178 Dec 31, 2017 0.1791 Dec 31, 2018 0.1834

Vega-Lite specification:
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Chart description: The GDP for agriculture shows a sharp decline in 2011 by .05, this recovers in 212 but dips slightly in 2014,showing a consistent recovery to 2017 where it flat lines at 0.15.

Chart data: Year Agriculture Dec 31, 2008 0.1594 Dec 31, 2009 0.1584 Dec 31, 2010 0.1288 Dec 31, 2011 0.1397 Dec 31, 2012 0.1369 Dec 31, 2013 0.1337 Dec 31, 2014 0.1428 Dec 31, 2015 0.1441 Dec 31, 2016 0.1498 Dec 31, 2017 0.1502 Dec 31, 2018 0.1479

Vega-Lite specification:
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Chart description: The number of Apps available in the Apple store has risen year on year from 2008 to 2020. The number of apps available in the Apple store rose slowly for the first 4 years and then rose significantly year on year from 2012 - 2020. The number of Apps available in the App store doubled between 2014 and 2016. The smallest rise in Apps available was during 2017 - 2018. There are currently over 3 million apps available in the App store.

Chart data: Year Apps Jun 30, 2008 49538 Jun 30, 2009 71707 Jun 30, 2010 153573 Jun 30, 2011 281298 Jun 30, 2012 452974 Jun 30, 2013 715364 Jun 30, 2014 958048 Jun 30, 2015 1404576 Jun 30, 2016 1975112 Jun 30, 2017 2338835 Jun 30, 2018 2450223 Jun 30, 2019 3062241 Jun 30, 2020 3420161

Vega-Lite specification:
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Chart description: The growth in apps steadily increased until 2018 where there was a peak before the carrying on.

Chart data: Year Apps Jun 30, 2008 49538 Jun 30, 2009 71707 Jun 30, 2010 153573 Jun 30, 2011 281298 Jun 30, 2012 452974 Jun 30, 2013 715364 Jun 30, 2014 958048 Jun 30, 2015 1404576 Jun 30, 2016 1975112 Jun 30, 2017 2338835 Jun 30, 2018 2450223 Jun 30, 2019 3062241 Jun 30, 2020 3420161

Vega-Lite specification:
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