delen/vistext huggingface dataset:
Chart description: The largest number of respondents gave entertainment and enjoyment as their reason for participating. The smallest number of respondents gave "be in the know" as their reason for participating. The results are shown as a bar graph in royal blue against a plain white background. More respondents gave the answer learn about other cultures than celebrate my heritage as an answer. The second most given answer was to spend time with friends/family.

Chart data: Share of respondents Response 0.93 Entertainment and enjoyment 0.83 Time with friends/family 0.79 Expand my perspective 0.77 Interest in subject 0.76 Learn about other cultures 0.73 Introduction to new things 0.67 Support my community 0.66 Escape stress 0.52 Celebrate my heritage 0.23 Be "in the know"

Vega-Lite specification:
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Chart description: Many Americans take part in activities for a variety of reasons, with spending time with friends and family and for entertainment being popular.

Chart data: Share of respondents Response 0.93 Entertainment and enjoyment 0.83 Time with friends/family 0.79 Expand my perspective 0.77 Interest in subject 0.76 Learn about other cultures 0.73 Introduction to new things 0.67 Support my community 0.66 Escape stress 0.52 Celebrate my heritage 0.23 Be "in the know"

Vega-Lite specification:
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Chart description: There is no real pattern, however some crimes are far more prevalent including fraud, theft under $5000, breaking and entering and mischief.

Chart data: property crime ttypes Rate of crime per 100,000 residents Total theft under $5,000 (non-motor vehicle) 1502.36 Total mischief 757.08 Total breaking and entering 429.09 Fraud 378.14 Total theft of motor vehicle 231.62 Total possession of stolen property 65.48 Total theft over $5,000 (non-motor vehicle) 56.82 Identity fraud 52.31 Arson 21.79 Identity theft 12.46 Total trafficking in stolen property 3.03 Altering, removing or destroying Vehicle Identification Number (VIN) 0.31

Vega-Lite specification:
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Chart description: The most common crime per 100,000 residents was total theft under $5000. The least common crimes were arson and identity theft. Total mischief was the second most common crime. The majority of crimes reported had rates of less than 500 per 100,000 residents.

Chart data: property crime ttypes Rate of crime per 100,000 residents Total theft under $5,000 (non-motor vehicle) 1502.36 Total mischief 757.08 Total breaking and entering 429.09 Fraud 378.14 Total theft of motor vehicle 231.62 Total possession of stolen property 65.48 Total theft over $5,000 (non-motor vehicle) 56.82 Identity fraud 52.31 Arson 21.79 Identity theft 12.46 Total trafficking in stolen property 3.03 Altering, removing or destroying Vehicle Identification Number (VIN) 0.31

Vega-Lite specification:
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Chart description: Unemployment rate was its highest between 2000 & 2005  reaching over 0.10 but since then has been on a decline of unemployment rates of 0.07. this was until 2015 when the unemployment rate started to rise again.

Chart data: Year Unemployment rate Dec 31, 1998 0.084 Dec 31, 1999 0.0754 Dec 31, 2000 0.0784 Dec 31, 2001 0.1255 Dec 31, 2002 0.0992 Dec 31, 2003 0.0853 Dec 31, 2004 0.0811 Dec 31, 2005 0.0827 Dec 31, 2006 0.081 Dec 31, 2007 0.0822 Dec 31, 2008 0.0841 Dec 31, 2009 0.0864 Dec 31, 2010 0.0853 Dec 31, 2011 0.0843 Dec 31, 2012 0.0833 Dec 31, 2013 0.0805 Dec 31, 2014 0.0756 Dec 31, 2015 0.0721 Dec 31, 2016 0.0689 Dec 31, 2017 0.0596 Dec 31, 2018 0.0633 Dec 31, 2019 0.0664

Vega-Lite specification:
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Chart description: Worldwide between 1999 to 2014 Renault had pretty consistent car sales with a slight dip circa 2009.

Chart data: Year Passenger cars produced (in millions) Dec 31, 1998 1.98 Dec 31, 1999 2.1 Dec 31, 2000 2.07 Dec 31, 2001 2.05 Dec 31, 2002 2.11 Dec 31, 2003 2.16 Dec 31, 2004 2.2 Dec 31, 2005 2.14 Dec 31, 2006 2.28 Dec 31, 2007 2.05 Dec 31, 2008 2.04 Dec 31, 2009 2.4 Dec 31, 2010 2.44 Dec 31, 2011 2.3 Dec 31, 2012 2.35 Dec 31, 2013 2.4

Vega-Lite specification:
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Chart description: The line is generally steady. There is a small sharp dip in 2008 that rises past its previous height in 2010 before again becoming steady.

Chart data: Year Passenger cars produced (in millions) Dec 31, 1998 1.98 Dec 31, 1999 2.1 Dec 31, 2000 2.07 Dec 31, 2001 2.05 Dec 31, 2002 2.11 Dec 31, 2003 2.16 Dec 31, 2004 2.2 Dec 31, 2005 2.14 Dec 31, 2006 2.28 Dec 31, 2007 2.05 Dec 31, 2008 2.04 Dec 31, 2009 2.4 Dec 31, 2010 2.44 Dec 31, 2011 2.3 Dec 31, 2012 2.35 Dec 31, 2013 2.4

Vega-Lite specification:
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Chart description: 2011 Shows a peak of nearly 2.5 million cars produced on the area chart, 2008 shows the lowest cars produced between 1999 and 2014 of around 2 million cars.

Chart data: Year Passenger cars produced (in millions) Dec 31, 1998 1.98 Dec 31, 1999 2.1 Dec 31, 2000 2.07 Dec 31, 2001 2.05 Dec 31, 2002 2.11 Dec 31, 2003 2.16 Dec 31, 2004 2.2 Dec 31, 2005 2.14 Dec 31, 2006 2.28 Dec 31, 2007 2.05 Dec 31, 2008 2.04 Dec 31, 2009 2.4 Dec 31, 2010 2.44 Dec 31, 2011 2.3 Dec 31, 2012 2.35 Dec 31, 2013 2.4

Vega-Lite specification:
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Chart description: THE POPULATION HAS INCREASED SLIGHTLY BUT THE INCREASE HAS SLOWED SINCE 2014.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.8493 Dec 31, 2009 0.8609 Dec 31, 2010 0.8717 Dec 31, 2011 0.8819 Dec 31, 2012 0.8913 Dec 31, 2013 0.9 Dec 31, 2014 0.9026 Dec 31, 2015 0.9051 Dec 31, 2016 0.9075 Dec 31, 2017 0.9098 Dec 31, 2018 0.912

Vega-Lite specification:
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Chart description: The unemployment rate has dropped over the 21 year period. The unemployment rate had a slight increase over 2005 but dropped after that.

Chart data: Year Unemployment rate Dec 31, 1998 0.1284 Dec 31, 1999 0.1056 Dec 31, 2000 0.0907 Dec 31, 2001 0.1004 Dec 31, 2002 0.105 Dec 31, 2003 0.108 Dec 31, 2004 0.1091 Dec 31, 2005 0.0939 Dec 31, 2006 0.0851 Dec 31, 2007 0.0818 Dec 31, 2008 0.0846 Dec 31, 2009 0.0848 Dec 31, 2010 0.0843 Dec 31, 2011 0.0839 Dec 31, 2012 0.0835 Dec 31, 2013 0.0824 Dec 31, 2014 0.0758 Dec 31, 2015 0.07 Dec 31, 2016 0.066 Dec 31, 2017 0.0651 Dec 31, 2018 0.0641 Dec 31, 2019 0.0636

Vega-Lite specification:
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Chart description: The average ticket price rose as time went on. Between 07/08 and 10/11, the ticket prices remained steady.

Chart data: Year Average ticket price in U.S. dollars 14/15 49.72 13/14 47.94 12/13 46.15 11/12 38.25 10/11 36.43 09/10 36.43 08/09 36.43 07/08 36.43 06/07 32.56 05/06 30.07

Vega-Lite specification:
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Chart description: Civil partnerships in France had a steady rise from 2000 until 2010 where is dips around 50,000 less and then starts to steadily increase again.

Chart data: Year Number of civil unions Dec 31, 1998 6151 Dec 31, 1999 22271 Dec 31, 2000 19629 Dec 31, 2001 25305 Dec 31, 2002 31570 Dec 31, 2003 40080 Dec 31, 2004 60462 Dec 31, 2005 77347 Dec 31, 2006 101978 Dec 31, 2007 145960 Dec 31, 2008 174629 Dec 31, 2009 205550 Dec 31, 2010 152213 Dec 31, 2011 160690 Dec 31, 2012 168692 Dec 31, 2013 173731 Dec 31, 2014 188947 Dec 31, 2015 191558 Dec 31, 2016 195633 Dec 31, 2017 208871

Vega-Lite specification:
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Chart description: The percentage of the population in poverty in Oklahoma stays roughly the same between 2000 and 2019. There was a decrease in the poverty rate in Oklahoma between 2010 and 2019.

Chart data: Response Percentage of population Dec 31, 1999 0.138 Dec 31, 2000 0.155 Dec 31, 2001 0.15 Dec 31, 2002 0.161 Dec 31, 2003 0.153 Dec 31, 2004 0.165 Dec 31, 2005 0.17 Dec 31, 2006 0.159 Dec 31, 2007 0.159 Dec 31, 2008 0.162 Dec 31, 2009 0.169 Dec 31, 2010 0.172 Dec 31, 2011 0.172 Dec 31, 2012 0.168 Dec 31, 2013 0.166 Dec 31, 2014 0.161 Dec 31, 2015 0.163 Dec 31, 2016 0.158 Dec 31, 2017 0.156 Dec 31, 2018 0.152

Vega-Lite specification:
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Chart description: In 2019 in Italy over 300 cases of incitement to violence were recorded by police. Arson and homocide as a hate crime had the lowest recordings in the chart. 150 hate crimes incidences of desecration of graves were recorded in 2019. Following incitement to violence, physical violence was the next most recorded form of hate crime by police in Italy in 2019.

Chart data: Number of hate crimes crime types 310 Incitement to violence 241 Physical assault 152 Desecration of graves 117 Threats/ threatening behavior 87 Theft/ robbery 75 Damage to property 58 Disturbance of the peace 42 Attacks against places of workship 21 Vandalism 1 Homicide 1 Arson 14 Unspecified

Vega-Lite specification:
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Chart description: Incitement to violence and physical threat are by far the most common forms of hate crime, followed by desecration of graves (at about half the rate of incitement to violence) and threat, theft and damage to property (about a third of incitement to violence). Homicide and arson are negligible.

Chart data: Number of hate crimes crime types 310 Incitement to violence 241 Physical assault 152 Desecration of graves 117 Threats/ threatening behavior 87 Theft/ robbery 75 Damage to property 58 Disturbance of the peace 42 Attacks against places of workship 21 Vandalism 1 Homicide 1 Arson 14 Unspecified

Vega-Lite specification:
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Chart description: Infant mortality rate has shown improvement in Australia over the last decade.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 4.2 Dec 31, 2009 4 Dec 31, 2010 3.8 Dec 31, 2011 3.6 Dec 31, 2012 3.5 Dec 31, 2013 3.3 Dec 31, 2014 3.3 Dec 31, 2015 3.2 Dec 31, 2016 3.1 Dec 31, 2017 3.1 Dec 31, 2018 3.1

Vega-Lite specification:
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Chart description: infant mortality ahs decreased in australia with its lowest year being in 2018.

Chart data: Year Deaths per 1,000 live births Dec 31, 2008 4.2 Dec 31, 2009 4 Dec 31, 2010 3.8 Dec 31, 2011 3.6 Dec 31, 2012 3.5 Dec 31, 2013 3.3 Dec 31, 2014 3.3 Dec 31, 2015 3.2 Dec 31, 2016 3.1 Dec 31, 2017 3.1 Dec 31, 2018 3.1

Vega-Lite specification:
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Chart description: Over half of respondents said they will visit internet/online retailers making it the most popular. The least popular were durinoture outlet and specialty clothing stores.

Chart data: Response Share of respondents Internet/online retailers* 0.62 Mass merchants 0.5 Traditional department stores 0.26 Supermarkets or grocery stores 0.26 Off-price stores 0.24 Warehouse membership clubs 0.23 Bookstores 0.23 Electronics/office supply/computer stores 0.22 Specialty beauty stores 0.21 Home improvements stores 0.21 Pet stores 0.17 Furniture or home furnishings stores 0.16 Dollar stores 0.16 Specialty arts/crafts retailer 0.16 Outlet stores/centers 0.16 Specialty clothing stores 0.16

Vega-Lite specification:
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Chart description: The most popular way to purchase holiday gifts in September 2020 was to buy from online retailers with over a 0.6 percentage share. The second most popular way to purchase holiday gifts was to shop at mass merchants with a 0.5 percentage share. The least popular way to purchase holiday gifts was from dollar stores, home furniture/ furnishings stores, outlet stores/centres, specialty arts/crafts centre and specialty clothing stores all with a percentage share of 0.15.

Chart data: Response Share of respondents Internet/online retailers* 0.62 Mass merchants 0.5 Traditional department stores 0.26 Supermarkets or grocery stores 0.26 Off-price stores 0.24 Warehouse membership clubs 0.23 Bookstores 0.23 Electronics/office supply/computer stores 0.22 Specialty beauty stores 0.21 Home improvements stores 0.21 Pet stores 0.17 Furniture or home furnishings stores 0.16 Dollar stores 0.16 Specialty arts/crafts retailer 0.16 Outlet stores/centers 0.16 Specialty clothing stores 0.16

Vega-Lite specification:
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Chart description: There is a fluctuations every 2 quarters, there is no apparent significant trend.

Chart data: IPTV subscribers in millions Quarter 33.6 Q4 '14 35 Q3 '14 34.8 Q2 '14 32.7 Q1' 14 30.7 Q4 '13 26.77 Q2 '13 21.08 Q1 '13 19.93 Q4 '12 18.79 Q3 '12 17.65 Q2 '12 16.51 Q1 '12

Vega-Lite specification:
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Chart description: After 2017, a steady drop in sales began. The lowest amount of sales was recorded in 2010 at about 12 million GPB. Between 2011 and 2012, there was a short fall in the amount of sales after which the recorded sales rose up steadily until 2017.

Chart data: Year Turnover in million GBP Dec 31, 2007 13839 Dec 31, 2008 13226 Dec 31, 2009 12313 Dec 31, 2010 13475 Dec 31, 2011 12395 Dec 31, 2012 13606 Dec 31, 2013 14492 Dec 31, 2014 16773 Dec 31, 2015 17002 Dec 31, 2016 17593 Dec 31, 2017 16211

Vega-Lite specification:
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Chart description: three of the companies have 1000 employees, whereas the others have under 400.

Chart data: telecommunication companies Number of employees TDC A/S 1000 Telenor AS 1000 Kemp & Lauritzen A/S 1000 GlobalConnect A/S 350 TDC Telco ApS 350 Eltel Networks AS 350 Dansk Kabel TV AS 350 Stofa AS 350 Fibia PS 350 HI3G Denmark ApS 350

Vega-Lite specification:
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Chart description: The line chart shows that the unemployment rate in Central African Republic fluctuated only a little between 2000 and 2015. The unemployment rate has decreased a little since 2005.

Chart data: Year Unemployment rate Dec 31, 1998 0.0397 Dec 31, 1999 0.0395 Dec 31, 2000 0.0395 Dec 31, 2001 0.04 Dec 31, 2002 0.0401 Dec 31, 2003 0.0396 Dec 31, 2004 0.039 Dec 31, 2005 0.0377 Dec 31, 2006 0.0366 Dec 31, 2007 0.0363 Dec 31, 2008 0.0387 Dec 31, 2009 0.0393 Dec 31, 2010 0.0393 Dec 31, 2011 0.0394 Dec 31, 2012 0.0396 Dec 31, 2013 0.039 Dec 31, 2014 0.0386 Dec 31, 2015 0.0382 Dec 31, 2016 0.0374 Dec 31, 2017 0.0366 Dec 31, 2018 0.0368 Dec 31, 2019 0.037

Vega-Lite specification:
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Chart description: There are  range of social media platforms being used. The most used are twitter Facebook and YouTube.

Chart data: Share of respondents Response 97 YouTube 92 Facebook 86 Twitter 72 Pinterest 57 Blog 57 LinkedIn 52 Google+ 50 Instagram 41 Foursquare 9 Vine 9 Snapchat 3 Tumblr

Vega-Lite specification:
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Chart description: Meat consumption increases from 2015 to its highest rate of consumption in the EU in 2018/2019 and then steadily decreases until 2022 and is then forecast to continue to decrease until 2028.

Chart data: Volume in thousand tonnes Year 6518 2028* 6529 2027* 6540 2026* 6571 2025* 6613 2024* 6622 2023* 6644 2022* 6674 2021* 6731 2020* 6808 2019* 6826 2018** 6678 2017 6743 2016 6602 2015

Vega-Lite specification:
{"config": {"background": "#000", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#7fc97f", "#beaed4", "#fdc086", "#ffff99", "#386cb0", "#f0027f", "#bf5b17", "#666666"]}}, "data": {"url": "data/12568.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ffff99"}, "x": {"type": "quantitative", "axis": {"title": "Volume in thousand tonnes"}, "field": "Volume in thousand tonnes"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}}, "title": ["Forecast volume of beef and veal consumed", "in the European Union (EU 28) from 2015 to", "2028 (in 1,000 tonnes)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: The forecast is a reduction in beef and veal consumption from 2022 to 2028. There are no reasons given.

Chart data: Volume in thousand tonnes Year 6518 2028* 6529 2027* 6540 2026* 6571 2025* 6613 2024* 6622 2023* 6644 2022* 6674 2021* 6731 2020* 6808 2019* 6826 2018** 6678 2017 6743 2016 6602 2015

Vega-Lite specification:
{"config": {"background": "#000", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#7fc97f", "#beaed4", "#fdc086", "#ffff99", "#386cb0", "#f0027f", "#bf5b17", "#666666"]}}, "data": {"url": "data/12568.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ffff99"}, "x": {"type": "quantitative", "axis": {"title": "Volume in thousand tonnes"}, "field": "Volume in thousand tonnes"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}}, "title": ["Forecast volume of beef and veal consumed", "in the European Union (EU 28) from 2015 to", "2028 (in 1,000 tonnes)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}
Chart description: Beef and veal consumption is predicted to be strong but decline very slightly between now and 2028.

Chart data: Volume in thousand tonnes Year 6518 2028* 6529 2027* 6540 2026* 6571 2025* 6613 2024* 6622 2023* 6644 2022* 6674 2021* 6731 2020* 6808 2019* 6826 2018** 6678 2017 6743 2016 6602 2015

Vega-Lite specification:
{"config": {"background": "#000", "title": {"color": "#fff", "subtitleColor": "#fff"}, "style": {"guide-label": {"fill": "#fff"}, "guide-title": {"fill": "#fff"}}, "axis": {"domainColor": "#fff", "gridColor": "#888", "tickColor": "#fff"}, "range": {"category": ["#7fc97f", "#beaed4", "#fdc086", "#ffff99", "#386cb0", "#f0027f", "#bf5b17", "#666666"]}}, "data": {"url": "data/12568.tsv"}, "mark": "bar", "encoding": {"color": {"value": "#ffff99"}, "x": {"type": "quantitative", "axis": {"title": "Volume in thousand tonnes"}, "field": "Volume in thousand tonnes"}, "y": {"type": "nominal", "axis": {"labelAngle": -60}, "bin": false, "field": "Year"}}, "title": ["Forecast volume of beef and veal consumed", "in the European Union (EU 28) from 2015 to", "2028 (in 1,000 tonnes)"], "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json"}