delen/vistext huggingface dataset:
Chart description: The products with the highest response are those that did not have a large online presence pre-pandemic.

Chart data: United States Response 0.31 Restaurant delivery / takeaway 0.27 Hygiene products (e.g. hand sanitizer, toilet paper) 0.26 Clothing 0.26 Household cleaning products 0.24 Food and drink delivery (e.g. from supermarket) 0.21 Health products (e.g. medicine) 0.15 Books 0.15 Hobby supplies 0.13 Games 0.11 Consumer electronics, household appliances, furniture 0.11 Video 0.1 Music 0.06 Magazines & newspapers 0.06 Financial products and services 0.03 Other 0.29 I have not shifted from offline to online purchases for any products or services

Vega-Lite specification:
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Chart description: Most small and medium enterprises in the UK from February 2016 to January 2018 fall in the 0.18/1.8 band. It seems that most enterprises are 1.8 years old or 0.18 years old.(I don't think I am able to interpret this graph correctly, I really don't understand how to read this even though I researched online about this stat).

Chart data: Less than 1 year More than 10 years 0.17 0.28 0.18 0.27 0.17 0.26 0.23 0.25 0.17 0.31 0.19 0.24 0.2 0.27 0.21 0.25 0.18 0.27 0.21 0.27 0.18 0.24 0.18 0.26 0.21 0.24 0.17 0.24 0.16 0.28 0.18 0.27 0.2 0.24 0.18 0.24 0.23 0.22 0.19 0.26 0.19 0.26 0.18 0.26 0.19 0.25 0.19 0.25

Vega-Lite specification:
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Chart description: Big increase for 0.18Consistent on 0.17 and 0.190.16 and 0.23 were the lowest.

Chart data: Don't know / prefer not to say Less than 1 year 0.01 0.17 0.03 0.18 0.02 0.17 0.02 0.23 0.01 0.17 0.01 0.19 0.02 0.2 0.02 0.21 0.01 0.18 0.02 0.21 0.03 0.18 0.02 0.18 0.02 0.21 0.03 0.17 0.02 0.16 0.02 0.18 0.01 0.2 0.01 0.18 0.01 0.23 0.01 0.19 0.02 0.19 0.03 0.18 0.02 0.19 0.02 0.19

Vega-Lite specification:
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Chart description: The bar graph is quite confusing, I'm not sure how Less Than 1 Year corresponds with 0.16 - 0.23 and it's connection to Don't know / Prefer not to say. There is not much information I can draw from the graph without further context and clarification of the exact static being looked at. The only observation I can make is that 0.18 has seen the highest Don't know / Prefer not to say. However, I'm not sure what that means.

Chart data: Don't know / prefer not to say Less than 1 year 0.01 0.17 0.03 0.18 0.02 0.17 0.02 0.23 0.01 0.17 0.01 0.19 0.02 0.2 0.02 0.21 0.01 0.18 0.02 0.21 0.03 0.18 0.02 0.18 0.02 0.21 0.03 0.17 0.02 0.16 0.02 0.18 0.01 0.2 0.01 0.18 0.01 0.23 0.01 0.19 0.02 0.19 0.03 0.18 0.02 0.19 0.02 0.19

Vega-Lite specification:
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Chart description: The number of company owned stores increase fairly linearly from 500 in 2010 to 2,500 in 2019.

Chart data: Segment Company-operated stores Dec 31, 2009 590.39 Dec 31, 2010 816.93 Dec 31, 2011 1090.18 Dec 31, 2012 1229 Dec 31, 2013 1348.23 Dec 31, 2014 1516.32 Dec 31, 2015 1704.36 Dec 31, 2016 1837.07 Dec 31, 2017 2126.36 Dec 31, 2018 2501.07

Vega-Lite specification:
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Chart description: Revenue has increased in the time from 2010 to 2018. A sharp increase in revenue started in around 2017 compared to a slow and steady rise between 2012 and 2015.

Chart data: Segment Direct to consumer Dec 31, 2009 57.35 Dec 31, 2010 106.31 Dec 31, 2011 197.26 Dec 31, 2012 263.08 Dec 31, 2013 321.18 Dec 31, 2014 401.53 Dec 31, 2015 453.29 Dec 31, 2016 577.59 Dec 31, 2017 858.86 Dec 31, 2018 1137.82

Vega-Lite specification:
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Chart description: As the segment increases, Other also increases. There is a strong positive correlation between Segments and Other.

Chart data: Segment Other Dec 31, 2009 63.97 Dec 31, 2010 77.6 Dec 31, 2011 82.92 Dec 31, 2012 99.11 Dec 31, 2013 127.81 Dec 31, 2014 142.68 Dec 31, 2015 186.75 Dec 31, 2016 234.53 Dec 31, 2017 303.1 Dec 31, 2018 340.41

Vega-Lite specification:
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Chart description: It was not possible to provide an explanation as the information shown on the X axis is not correct according the title nor does the numbering makes sense.

Chart data: Q2 2014 small and medium enterprises 0.4 Agriculture 0.61 Manufacturing 0.43 Construction 0.6 Wholesale/Retail 0.46 Hotels and Restaurants 0.39 Transport 0.56 Property/Business Services etc. 0.46 Health 0.68 Other Community

Vega-Lite specification:
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Chart description: Other community, wholesale/Retail and property business services have the biggest growth plans.

Chart data: Q2 2017 small and medium enterprises 0.38 Agriculture 0.46 Manufacturing 0.33 Construction 0.51 Wholesale/Retail 0.47 Hotels and Restaurants 0.42 Transport 0.5 Property/Business Services etc. 0.43 Health 0.52 Other Community 0.45 All SMEs

Vega-Lite specification:
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Chart description: This shows there are strong signs of growth across all areas.

Chart data: Q2 2017 small and medium enterprises 0.38 Agriculture 0.46 Manufacturing 0.33 Construction 0.51 Wholesale/Retail 0.47 Hotels and Restaurants 0.42 Transport 0.5 Property/Business Services etc. 0.43 Health 0.52 Other Community 0.45 All SMEs

Vega-Lite specification:
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Chart description: The agriculture sector shows the smallest growth whilst the health sector dominates with the largest growth in the small and medium enterprises.

Chart data: small and medium enterprises Q2 2019 Agriculture 0.39 Manufacturing 0.56 Construction 0.48 Wholesale/Retail 0.58 Hotels and Restaurants 0.44 Transport 0.61 Property/Business Services etc. 0.54 Health 0.66 Other Community 0.6 All SMEs 0.54

Vega-Lite specification:
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Chart description: SMEs that fall under the category of Health, have the highest share.

Chart data: small and medium enterprises Q2 2019 Agriculture 0.39 Manufacturing 0.56 Construction 0.48 Wholesale/Retail 0.58 Hotels and Restaurants 0.44 Transport 0.61 Property/Business Services etc. 0.54 Health 0.66 Other Community 0.6 All SMEs 0.54

Vega-Lite specification:
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Chart description: the health sector had the highest share of smes (at 0.65), followed by the transport sector at around 0.61. the agriculture sector had the lowest share.

Chart data: small and medium enterprises Q2 2019 Agriculture 0.39 Manufacturing 0.56 Construction 0.48 Wholesale/Retail 0.58 Hotels and Restaurants 0.44 Transport 0.61 Property/Business Services etc. 0.54 Health 0.66 Other Community 0.6 All SMEs 0.54

Vega-Lite specification:
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Chart description: The graph is set over a 10 year period and although there is not a significant change in expenditure overall 2009/2010 did see an increasing trend which was reversed back down to current levels. which in 2016 were at the lowest.  increasing slightly the following year.

Chart data: Other expenditure Year 31543 2017* 30642 2016* 35648 2015 36688 2014 34368 2013 38869 2012 39752 2011 43326 2010 43063 2009 39812 2008 36079 2007

Vega-Lite specification:
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Chart description: this graph shows that the most popular occupation in the minority group of asian people is computer programmers.

Chart data: computer occupations Asian Computer and mathematical occupations  [ALL] 0.231 Computer systems analysts 0.203 Operations research analysts 0.076 Information security analysts 0.218 Computer programmers 0.377 Software developers, applications and systems software 0.12 Web developers 0.127 Computer support specialists 0.167 Database administrators 0.117 Network and computer systems administrators 0.103 Computer network architects 0.141 Computer occupations, all other 0.127

Vega-Lite specification:
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Chart description: Short of just listing each occupation and percentage I can't think how to describe the chart. There is nothing to link any of the categories. Any "trend" or "pattern" would only be dependant on the order they are listed along the x-axis.

Chart data: computer occupations Hispanic or Latino Computer and mathematical occupations  [ALL] 0.078 Computer systems analysts 0.083 Operations research analysts 0.129 Information security analysts 0.087 Computer programmers 0.051 Software developers, applications and systems software 0.046 Web developers 0.113 Computer support specialists 0.062 Database administrators 0.085 Network and computer systems administrators 0.141 Computer network architects 0.097 Computer occupations, all other 0.141

Vega-Lite specification:
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Chart description: There has been less than 0.1 fall in gross domestic production in the decade between 2009-2019.

Chart data: Year Industry Dec 31, 2008 0.374 Dec 31, 2009 0.3463 Dec 31, 2010 0.3408 Dec 31, 2011 0.345 Dec 31, 2012 0.3316 Dec 31, 2013 0.3369 Dec 31, 2014 0.3463 Dec 31, 2015 0.3453 Dec 31, 2016 0.3438 Dec 31, 2017 0.3312 Dec 31, 2018 0.3224

Vega-Lite specification:
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Chart description: The Paraguay distribution of gross domestic product has fallen slightly from 2010 to 2019 going from nearly 0.4 to just over 0.3.

Chart data: Year Industry Dec 31, 2008 0.374 Dec 31, 2009 0.3463 Dec 31, 2010 0.3408 Dec 31, 2011 0.345 Dec 31, 2012 0.3316 Dec 31, 2013 0.3369 Dec 31, 2014 0.3463 Dec 31, 2015 0.3453 Dec 31, 2016 0.3438 Dec 31, 2017 0.3312 Dec 31, 2018 0.3224

Vega-Lite specification:
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Chart description: The distribution of gross domestic products has maintained a steady distribution that has not declined nor made a significant growth across services over the last 10years.

Chart data: Year Services Dec 31, 2008 0.4659 Dec 31, 2009 0.4533 Dec 31, 2010 0.4485 Dec 31, 2011 0.4811 Dec 31, 2012 0.4682 Dec 31, 2013 0.471 Dec 31, 2014 0.4858 Dec 31, 2015 0.4753 Dec 31, 2016 0.4788 Dec 31, 2017 0.4906 Dec 31, 2018 0.5042

Vega-Lite specification:
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Chart description: The highest number of soda ash production was in 2018 and 2019 with it surpassing 15,000 metric tonnes. The lowest number of of soda ash production was in 2010 at around 13,000 metric tonnes. Most of the soda ash production occurred between 2012 to 2017. Throughout the years, the soda ash production was always above 10,000 metric tonnes. It does not seem as if there is a trend because as each year passes the number of soda ash increases but also stays relatively the same or increases. Therefore there is no correlation.

Chart data: Year Natural 2019* 16000 2018 16000 2017 14500 2016 14400 2015 14200 2014 14400 2013 14400 2012 13900 2011 13000 2010 12800

Vega-Lite specification:
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Chart description: There was a steady increase in Soda ash production worldwide from 12,700 in 2010 to about 14,000 in 2013. The production was stable between 2013 and 2017. There was a small sudden increase in the trend in 2018 reaching 16,000.

Chart data: Year Natural 2019* 16000 2018 16000 2017 14500 2016 14400 2015 14200 2014 14400 2013 14400 2012 13900 2011 13000 2010 12800

Vega-Lite specification:
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Chart description: There is a steady year on year increase in the number of employees at the company. After 2014 however, the increase is more than steady.

Chart data: Position Client service staff Dec 31, 2009 122967 Dec 31, 2010 129720 Dec 31, 2011 139723 Dec 31, 2012 143111 Dec 31, 2013 153051 Dec 31, 2014 163513 Dec 31, 2015 177182 Dec 31, 2016 188406 Dec 31, 2017 201164 Dec 31, 2018 222275 Dec 31, 2019 228844

Vega-Lite specification:
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Chart description: There is a area diagram titled Number of PwC employees worldwide from 2010 to 2020 Considerably increased from 2010 to 2018. From around 125,000 in 2010 to over 20,000 in 2018.

Chart data: Position Client service staff Dec 31, 2009 122967 Dec 31, 2010 129720 Dec 31, 2011 139723 Dec 31, 2012 143111 Dec 31, 2013 153051 Dec 31, 2014 163513 Dec 31, 2015 177182 Dec 31, 2016 188406 Dec 31, 2017 201164 Dec 31, 2018 222275 Dec 31, 2019 228844

Vega-Lite specification:
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Chart description: There has been an increase overall in the number of justifiable homicides by private citizens between 2008 to 2018.  The increase has not been year on year, there have been dips most noticeably in 2011 and 2014.   In 2012/13 and 2015/16 the number was stagnant.

Chart data: Year Private citizens Dec 31, 2006 257 Dec 31, 2007 265 Dec 31, 2008 266 Dec 31, 2009 285 Dec 31, 2010 270 Dec 31, 2011 315 Dec 31, 2012 315 Dec 31, 2013 286 Dec 31, 2014 333 Dec 31, 2015 334 Dec 31, 2016 368 Dec 31, 2017 375 Dec 31, 2018 386

Vega-Lite specification:
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Chart description: The number of justifiable homicides by private citizens in the  United States has risen steadily from 2007 to 2019 from 280 to 280. There was a brief reduction in 2011 and 2014, after which cases start to steadily climb.

Chart data: Year Private citizens Dec 31, 2006 257 Dec 31, 2007 265 Dec 31, 2008 266 Dec 31, 2009 285 Dec 31, 2010 270 Dec 31, 2011 315 Dec 31, 2012 315 Dec 31, 2013 286 Dec 31, 2014 333 Dec 31, 2015 334 Dec 31, 2016 368 Dec 31, 2017 375 Dec 31, 2018 386

Vega-Lite specification:
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Chart description: December had the highest rainfall with 150mm, whilst September was the lowest. Most of the summer months had little rainfall with winter and spring being wetter. Winter was particularly dry.

Chart data: Month 2015 De  150.1; Month: Dec No  92.7; Month: Nov Oc  −80.5; Month: Oct Se  −85.6; Month: Sep Au  −19.5; Month: Aug Ju  34; Month: Jul Jun  −0.6; Month: June Ma  54.2; Month: May Ap  −3.1; Month: Apr Ma  64.6; Month: Mar Fe  9.7; Month: Feb Ja  71.8; Month: Jan

Vega-Lite specification:
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