delen/vistext huggingface dataset:
Chart description: Rolls Royce were most dependent on MOD business in 2007/8. they were least dependent on MOD business in 2012/3. Only two years have been above 0.06. All years have been above 0.04.

Chart data: Rolls-Royce Holdings PLC Year 0.054 2019/20 0.056 2018/19 0.054 2017/18 0.051 2016/17 0.06 2015/16 0.055 2014/15 0.052 2013/14** 0.048 2012/13 0.061 2011/12 0.049 2010/11 0.057 2009/10 0.056 2008/09 0.063 2007/08 0.052 2006/07 0.058 2005/06

Vega-Lite specification:
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Chart description: Holdings have been consistent year after year from 2006 to 2020.

Chart data: Rolls-Royce Holdings PLC Year 0.054 2019/20 0.056 2018/19 0.054 2017/18 0.051 2016/17 0.06 2015/16 0.055 2014/15 0.052 2013/14** 0.048 2012/13 0.061 2011/12 0.049 2010/11 0.057 2009/10 0.056 2008/09 0.063 2007/08 0.052 2006/07 0.058 2005/06

Vega-Lite specification:
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Chart description: Airbus Groups SE had its largest year of business dependecy in 2014/2015. Airbus Groups SE had its lowest year of business dependecy in 2006/2007Between 2008 and 2011 Airbus Group SE business deoeency on the MOD was linear.

Chart data: Year Airbus Group SE 2019/20 0.015 2018/19 0.015 2017/18 0.016 2016/17 0.015 2015/16 0.016 2014/15 0.019 2013/14** 0.018 2012/13 0.014 2011/12 0.018 2010/11 0.014 2009/10 0.014 2008/09 0.014 2007/08 0.015 2006/07 0.012 2005/06 0.014

Vega-Lite specification:
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Chart description: Ophthalmology has the lowest percentage of approved drugs in the US during the time period the chart represents. The maximum percentage of approved drugs is 1% and the lowest is approximately 0.7%. The approval rate overall is very low.

Chart data: Ultimately approved disease areas 0.89 Oncology 0.93 Allergy 0.94 Respiratory 0.85 Cardiovascular 0.92 Infectious disease 0.82 Urology 0.86 Autoimmune 0.83 Metabolic 0.73 Ophthalmology 0.86 All diseases 0.9 Hematology 0.92 Gastroenterology 0.83 Endocrine 0.81 Neurology 0.91 Psychiatry

Vega-Lite specification:
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Chart description: On average the approval rate for all drugs is about 0.8/0.85%. The area with the most drugs approved is respiratory drugs.

Chart data: Ultimately approved disease areas 0.89 Oncology 0.93 Allergy 0.94 Respiratory 0.85 Cardiovascular 0.92 Infectious disease 0.82 Urology 0.86 Autoimmune 0.83 Metabolic 0.73 Ophthalmology 0.86 All diseases 0.9 Hematology 0.92 Gastroenterology 0.83 Endocrine 0.81 Neurology 0.91 Psychiatry

Vega-Lite specification:
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Chart description: The sales of teslas between the years 2008 and 2019 in America is increasing.

Chart data: Year Americas Dec 31, 2007 89.5 Dec 31, 2008 81.2 Dec 31, 2009 107.6 Dec 31, 2010 118.5 Dec 31, 2011 136.7 Dec 31, 2012 141.9 Dec 31, 2013 142.5 Dec 31, 2014 167.2 Dec 31, 2015 174.2 Dec 31, 2016 190 Dec 31, 2017 216.4 Dec 31, 2018 227.6

Vega-Lite specification:
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Chart description: Financial penalties for the pharmaceutical industry in the usa began to peak circa 2008 according to the graph.

Chart data: Year State Dec 31, 1990 0 Dec 31, 1991 0 Dec 31, 1992 0 Dec 31, 1993 0 Dec 31, 1994 2 Dec 31, 1995 2 Dec 31, 1996 0 Dec 31, 1997 3 Dec 31, 1998 42 Dec 31, 1999 85 Dec 31, 2000 0 Dec 31, 2001 0 Dec 31, 2002 6 Dec 31, 2003 39 Dec 31, 2004 22 Dec 31, 2005 104 Dec 31, 2006 32 Dec 31, 2007 307 Dec 31, 2008 410 Dec 31, 2009 527 Dec 31, 2010 625 Dec 31, 2011 793 Dec 31, 2012 377 Dec 31, 2013 287 Dec 31, 2014 137

Vega-Lite specification:
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Chart description: Federally started to grow around 2000 and had major spikes around 2005 and late 2010 or 2011.

Chart data: Year Federal Dec 31, 1990 10 Dec 31, 1991 22 Dec 31, 1992 1 Dec 31, 1993 0 Dec 31, 1994 8 Dec 31, 1995 5 Dec 31, 1996 4 Dec 31, 1997 0 Dec 31, 1998 58 Dec 31, 1999 404 Dec 31, 2000 889 Dec 31, 2001 549 Dec 31, 2002 961 Dec 31, 2003 960 Dec 31, 2004 1045 Dec 31, 2005 3872 Dec 31, 2006 1410 Dec 31, 2007 1122 Dec 31, 2008 4002 Dec 31, 2009 3812 Dec 31, 2010 1712 Dec 31, 2011 5555 Dec 31, 2012 3123 Dec 31, 2013 356 Dec 31, 2014 2071

Vega-Lite specification:
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Chart description: The percentage of Italy's workforce employed in agriculture peaked in 2016. The percentage of Italy's workforce employed in agriculture has been in decline since 2016. The percentage of Italy's workforce employed in agriculture is now lower than it has been in ten years.

Chart data: Year Agriculture Dec 31, 2009 0.0377 Dec 31, 2010 0.0368 Dec 31, 2011 0.0369 Dec 31, 2012 0.036 Dec 31, 2013 0.0364 Dec 31, 2014 0.0375 Dec 31, 2015 0.0388 Dec 31, 2016 0.0378 Dec 31, 2017 0.0376 Dec 31, 2018 0.0368 Dec 31, 2019 0.0361

Vega-Lite specification:
{"config": {"background": "#fff", "area": {"fill": "#4572a7"}, "line": {"stroke": "#4572a7", "strokeWidth": 2}, "rect": {"fill": "#4572a7"}, "bar": {"fill": "#4572a7"}, "point": {"color": "#4572a7", "strokeWidth": 1.5, "size": 50}, "axis": {"bandPosition": 0.5, "grid": true, "gridColor": "#000000", "gridOpacity": 1, "gridWidth": 0.5, "labelPadding": 10, "tickSize": 5, "tickWidth": 0.5}, "axisBand": {"grid": false, "tickExtra": true}, "legend": {"labelBaseline": "middle", "labelFontSize": 11, "symbolSize": 50, "symbolType": "square"}, "range": {"category": ["#4572a7", "#aa4643", "#8aa453", "#71598e", "#4598ae", "#d98445", "#94aace", "#d09393", "#b9cc98", "#a99cbc"]}}, "data": {"url": "multiColumn/data/572.tsv"}, "mark": "line", "encoding": {"color": {"value": "#a99cbc"}, "x": {"type": "temporal", "axis": {"labelAngle": 45}, "bin": false, "field": "Year"}, "y": {"type": "quantitative", "axis": {"title": "Agriculture"}, "field": "Agriculture"}}, "title": ["Italy : Distribution of the workforce across", "economic sectors from 2010 to 2020"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: There is a slight downward trend in the data between 0.30 and 0.25 industry, during the time period.

Chart data: Year Industry Dec 31, 2009 0.2861 Dec 31, 2010 0.2829 Dec 31, 2011 0.2758 Dec 31, 2012 0.2705 Dec 31, 2013 0.269 Dec 31, 2014 0.266 Dec 31, 2015 0.2612 Dec 31, 2016 0.26 Dec 31, 2017 0.261 Dec 31, 2018 0.2587 Dec 31, 2019 0.2561

Vega-Lite specification:
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Chart description: The distribution of workforce decreased from 0.29 in 2010 to 0.26 in 2020.

Chart data: Year Industry Dec 31, 2009 0.2861 Dec 31, 2010 0.2829 Dec 31, 2011 0.2758 Dec 31, 2012 0.2705 Dec 31, 2013 0.269 Dec 31, 2014 0.266 Dec 31, 2015 0.2612 Dec 31, 2016 0.26 Dec 31, 2017 0.261 Dec 31, 2018 0.2587 Dec 31, 2019 0.2561

Vega-Lite specification:
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Chart description: The y axis (industry)  is shown in increments of 0.05 while the x axis (year) is in increments of 2 years the line shows a gradual workforce decrease of approximately 0.025 over 10 years. The measurement  of the workforce (e.g. %) is not shown.

Chart data: Year Industry Dec 31, 2009 0.2861 Dec 31, 2010 0.2829 Dec 31, 2011 0.2758 Dec 31, 2012 0.2705 Dec 31, 2013 0.269 Dec 31, 2014 0.266 Dec 31, 2015 0.2612 Dec 31, 2016 0.26 Dec 31, 2017 0.261 Dec 31, 2018 0.2587 Dec 31, 2019 0.2561

Vega-Lite specification:
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Chart description: the distribution appears stable between 0.6-0.8there is a very slight upward trend.

Chart data: Year Services Dec 31, 2009 0.6762 Dec 31, 2010 0.6803 Dec 31, 2011 0.6872 Dec 31, 2012 0.6935 Dec 31, 2013 0.6946 Dec 31, 2014 0.6965 Dec 31, 2015 0.6999 Dec 31, 2016 0.7021 Dec 31, 2017 0.7014 Dec 31, 2018 0.7044 Dec 31, 2019 0.7078

Vega-Lite specification:
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Chart description: The distribution of the workforce remained consistent throughout 2010 up to 2018.

Chart data: Year Services Dec 31, 2009 0.6762 Dec 31, 2010 0.6803 Dec 31, 2011 0.6872 Dec 31, 2012 0.6935 Dec 31, 2013 0.6946 Dec 31, 2014 0.6965 Dec 31, 2015 0.6999 Dec 31, 2016 0.7021 Dec 31, 2017 0.7014 Dec 31, 2018 0.7044 Dec 31, 2019 0.7078

Vega-Lite specification:
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Chart description: Availability of broadband internet (at least 1 Mbit/s) gradually increased from end 2010, to end 2018, it then sharply decreased at start of 2019 and then continued to gradually increase till mid 2018.

Chart data: year Wireless (UMTS, LTE, WiMAX, WLAN) End 2018 0.989 Mid 2018 0.985 End 2017 0.979 Mid 2017 0.982 End 2016 0.981 Mid 2016 0.983 End 2015 0.982 Mid 2015 0.978 End 2014 0.977 Mid 2014 0.972 End 2013 0.969 Mid 2013 0.958 End 2012 0.945 Mid 2012 0.936 End 2011 0.92 Mid 2011 0.892 End 2010 0.881

Vega-Lite specification:
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Chart description: The domestic use of wheat has been stable over the past 15 years.

Chart data: Year Food Dec 31, 1999 950 Dec 31, 2000 926 Dec 31, 2001 919 Dec 31, 2002 912 Dec 31, 2003 910 Dec 31, 2004 917 Dec 31, 2005 938 Dec 31, 2006 948 Dec 31, 2007 927 Dec 31, 2008 919 Dec 31, 2009 926 Dec 31, 2010 941 Dec 31, 2011 951 Dec 31, 2012 955 Dec 31, 2013 958 Dec 31, 2014 957 Dec 31, 2015 949 Dec 31, 2016 964 Dec 31, 2017 970 Dec 31, 2018 955

Vega-Lite specification:
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Chart description: the domestic use of wheat in the US from 2000 to 2019 has gradually increased a small amount, although it has sometimes dipped.

Chart data: Year Food Dec 31, 1999 950 Dec 31, 2000 926 Dec 31, 2001 919 Dec 31, 2002 912 Dec 31, 2003 910 Dec 31, 2004 917 Dec 31, 2005 938 Dec 31, 2006 948 Dec 31, 2007 927 Dec 31, 2008 919 Dec 31, 2009 926 Dec 31, 2010 941 Dec 31, 2011 951 Dec 31, 2012 955 Dec 31, 2013 958 Dec 31, 2014 957 Dec 31, 2015 949 Dec 31, 2016 964 Dec 31, 2017 970 Dec 31, 2018 955

Vega-Lite specification:
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Chart description: The richest person in fashion worldwide in 2012 and 2013 was Bernard Arnault. The one with the lowest wealth was Patrizio Bertelli (Prada).

Chart data: 2012 Name (Company) 37.5 Amancio Ortega (Inditex) 29.08 The Brenninkmeijer family (C&A) 41 Bernard Arnault (LVMH) 26 Stefan Persson (Hennes & Mauritz) 15.63 Betrand Puech & family (Hermes International) 11.5 Leonardo Del Vecchio (Luxottica) 13 Francis Pinault & family (PPR) 14.4 Phil Knight (Nike) 17.6 Michael Otto & family (Otto Group) 10 Tadashi Yanai & family (Fast Retailing, Uniqlo) 6.8 Miuccia Prada (Prada) 10.32 The Reimann family (Labelux Group) 7.2 Giorgio Armani (Armani) 7.1 Leonard Lauder (Estee Lauder) 7.6 Galen Weston & family (Selfridges Group) 7.5 Alain & Gerard Wertheimer (Chanel) 7.87 Isidoro Alvarez (El Corte Ingles) 7.5 Ralph Lauren (Ralph Lauren) 3.7 Patrizio Bertelli (Prada) 5.1 Johann Rupert & family (Compagnie Financiere Richemont)

Vega-Lite specification:
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Chart description: Inditex is clear that they are the most richest in fashion, the next closes is C&A with just about half of Inditexs wealth. The majority,  good 80% of the fashion companies are all under 10 billion.

Chart data: 2013 Name (Company) 57 Amancio Ortega (Inditex) 34.56 The Brenninkmeijer family (C&A) 29 Bernard Arnault (LVMH) 28 Stefan Persson (Hennes & Mauritz) 22.59 Betrand Puech & family (Hermes International) 15.3 Leonardo Del Vecchio (Luxottica) 15 Francis Pinault & family (PPR) 14.4 Phil Knight (Nike) 14.2 Michael Otto & family (Otto Group) 13.3 Tadashi Yanai & family (Fast Retailing, Uniqlo) 12.4 Miuccia Prada (Prada) 10.32 The Reimann family (Labelux Group) 8.5 Giorgio Armani (Armani) 8.1 Leonard Lauder (Estee Lauder) 8 Galen Weston & family (Selfridges Group) 8 Alain & Gerard Wertheimer (Chanel) 7.87 Isidoro Alvarez (El Corte Ingles) 7 Ralph Lauren (Ralph Lauren) 6.7 Patrizio Bertelli (Prada) 6.6 Johann Rupert & family (Compagnie Financiere Richemont)

Vega-Lite specification:
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Chart description: The x axis some of the race doesn't have the full quotes. the chart again fluctuates this is because everyone's parents might have different ways of handling smartphones. for example majority of people would never arrange to meet someone which is at 0.8 smartphones then the lowest with roughly 0.0 is other, this means the choice isn't on the chart for them to decide from. only allowed on phones for a certain time and only allowed to use certain apps are close together with roughly 0.5.

Chart data: Race Smartphone Never arrange to meet someone that I have only met online 0.85 Not allowed to talk to strangers 0.84 Not allowed to share personal information 0.81 Tell my parents if something worries me 0.82 Not allowed to spend any money 0.75 Be respectful to others online 0.69 Only allowed on for a certain amount of time 0.5 Only allowed to use certain apps 0.52 Ask my parent's permission first 0.37 Not allowed to download apps 0.21 Not allowed to use it on my own 0.11 Other 0.04

Vega-Lite specification:
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Chart description: Excluding other, "not allowed to use it on my own" has the lowest smartphone value. "Never arrange to meet someone t..." has the highest smartphone value. All race values had a smartphone value higher than zero.

Chart data: Race Smartphone Never arrange to meet someone that I have only met online 0.85 Not allowed to talk to strangers 0.84 Not allowed to share personal information 0.81 Tell my parents if something worries me 0.82 Not allowed to spend any money 0.75 Be respectful to others online 0.69 Only allowed on for a certain amount of time 0.5 Only allowed to use certain apps 0.52 Ask my parent's permission first 0.37 Not allowed to download apps 0.21 Not allowed to use it on my own 0.11 Other 0.04

Vega-Lite specification:
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Chart description: In 2019, there were more car accident fatality in the age between 25 to 29 then any other age group.

Chart data: Brussels-Capital Region Year 0 0-4 0 5-9 1 10-14 1 15-19 3 20-24 4 25-29 1 30-34 0 35-39 1 40-44 0 45-49 3 50-54 1 55-59 1 60-64 1 65-69 2 70-74 1 75 and older 0 Information unavailable

Vega-Lite specification:
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Chart description: People aged between 20 - 29 were most likely to be killed in traffic accidents. A total of 7 were in these age groups. Three people died in traffic accidents between age group 50  - 54. 2 people died in the age group 70 - 74. No one below 9 died. No one died between 35- 39 or between 45 - 49. In other age groups, one person died.

Chart data: Brussels-Capital Region Year 0 0-4 0 5-9 1 10-14 1 15-19 3 20-24 4 25-29 1 30-34 0 35-39 1 40-44 0 45-49 3 50-54 1 55-59 1 60-64 1 65-69 2 70-74 1 75 and older 0 Information unavailable

Vega-Lite specification:
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Chart description: 10-14 & 5-9-year-olds involved in crashes have the least fatalities for their age groups. 20-24 have the most fatalities overall.

Chart data: Year WalloonRegion 0-4 0 5-9 3 10-14 3 15-19 16 20-24 37 25-29 31 30-34 29 35-39 20 40-44 23 45-49 21 50-54 23 55-59 20 60-64 5 65-69 15 70-74 13 75 and older 29 Information unavailable 0

Vega-Lite specification:
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Chart description: Government run services seems to ask for credit card credentials more frequently.

Chart data: Never Response 0.12 Paying online purchases from your bank account 0.4 Credit card payment verification likeVerified by Visa or Mastercard Secure Code 0.36 Kela, the Finnish Social Insurance Institution 0.24 Verohallinto (the Finnish Tax office) 0.38 Insurance company's services 0.49 Municipal healthcare services 0.54 Posti (the main Finnish postal service) 0.56 Other governmental services 0.71 Trafi (Finnish Transport Safety Agency) 0.68 Other municipal services 0.69 Väestörekisterikeskus (the Population Register Centre)

Vega-Lite specification:
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Chart description: There seems to similar values for all categories with 1 group particular large rarely.

Chart data: Response Rarely Paying online purchases from your bank account 0.44 Credit card payment verification likeVerified by Visa or Mastercard Secure Code 0.35 Kela, the Finnish Social Insurance Institution 0.43 Verohallinto (the Finnish Tax office) 0.61 Insurance company's services 0.47 Municipal healthcare services 0.41 Posti (the main Finnish postal service) 0.37 Other governmental services 0.4 Trafi (Finnish Transport Safety Agency) 0.25 Other municipal services 0.28 Väestörekisterikeskus (the Population Register Centre) 0.29

Vega-Lite specification:
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Chart description: The line stops at 2014, indicating no new enterprises after that time.

Chart data: Year of enterprise birth 4 years Dec 31, 2006 0.52 Dec 31, 2007 0.489 Dec 31, 2008 0.489 Dec 31, 2009 0.481 Dec 31, 2010 0.51 Dec 31, 2011 0.504 Dec 31, 2012 0.512 Dec 31, 2013 0.493 Dec 31, 2014 0 Dec 31, 2015 0 Dec 31, 2016 0

Vega-Lite specification:
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Chart description: The survival rate of enterprise remained steady from 2007 to 2014, where since then we have no more data.

Chart data: Year of enterprise birth 4 years Dec 31, 2006 0.52 Dec 31, 2007 0.489 Dec 31, 2008 0.489 Dec 31, 2009 0.481 Dec 31, 2010 0.51 Dec 31, 2011 0.504 Dec 31, 2012 0.512 Dec 31, 2013 0.493 Dec 31, 2014 0 Dec 31, 2015 0 Dec 31, 2016 0

Vega-Lite specification:
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Chart description: The highest industry was 0.13 in 2009. Then started to decline to a low of 0.10 in 2014. Again it started to rise until 2015 where it leveled out until 2017. Then a steady decline till 2019.

Chart data: Year Industry Dec 31, 2008 0.1319 Dec 31, 2009 0.1195 Dec 31, 2010 0.1158 Dec 31, 2011 0.1131 Dec 31, 2012 0.1053 Dec 31, 2013 0.1032 Dec 31, 2014 0.1094 Dec 31, 2015 0.1101 Dec 31, 2016 0.1098 Dec 31, 2017 0.1015 Dec 31, 2018 0.0997

Vega-Lite specification:
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Chart description: The graph indicates that share of economic sectors in GDP has remained relatively stable between 0.7 and 0.8 since 2012. GDP steadily increased until 2012 before levelling out, dropping slightly around 2015 but maintaining consistency. In the time shown on the chart, GDP has not dropped below 0.6 or exceeded 0.8.

Chart data: Year Services Dec 31, 2008 0.7088 Dec 31, 2009 0.7387 Dec 31, 2010 0.752 Dec 31, 2011 0.7566 Dec 31, 2012 0.7494 Dec 31, 2013 0.749 Dec 31, 2014 0.7391 Dec 31, 2015 0.739 Dec 31, 2016 0.7479 Dec 31, 2017 0.7521 Dec 31, 2018 0.7518

Vega-Lite specification:
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