delen/vistext huggingface dataset:
Chart description: From the study, most people have take a day trip in the past year. The least number of people have taken a volunteer or mission trip.

Chart data: Share of respondents Response 0.88 Day trip 0.84 Weekend getaway 0.84 Multi-day vacation in U.S. 0.82 Theme park 0.82 Trip to see relatives 0.82 Museum or cultural attraction 0.82 City vacation 0.77 Beach vacation 0.76 Family road trip 0.59 Attending sport events 0.52 Visits to a national park 0.49 Camping trip 0.42 Family reunion 0.32 Competing in sports events 0.25 Safari or wildlife viewing 0.24 Multi-day vacation international 0.2 Cruise 0.15 Ski or snowboard 0.13 RV trip 0.1 Volunteer or mission trip

Vega-Lite specification:
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Chart description: The share of respondents goes from 0.0-1, with an increment of 0.2. The response with the highest vote from the respondents was 'Day trip', with over half of 0.8 votes. The response with the lowest votes was 'Volunteer or mission trip', with under 0.2 votes.

Chart data: Share of respondents Response 0.88 Day trip 0.84 Weekend getaway 0.84 Multi-day vacation in U.S. 0.82 Theme park 0.82 Trip to see relatives 0.82 Museum or cultural attraction 0.82 City vacation 0.77 Beach vacation 0.76 Family road trip 0.59 Attending sport events 0.52 Visits to a national park 0.49 Camping trip 0.42 Family reunion 0.32 Competing in sports events 0.25 Safari or wildlife viewing 0.24 Multi-day vacation international 0.2 Cruise 0.15 Ski or snowboard 0.13 RV trip 0.1 Volunteer or mission trip

Vega-Lite specification:
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Chart description: Tunisia has the most freedomIran has the least freedom.

Chart data: Country Index points Tunisia 64 Morocco 54 Lebanon 52 Libya 49 Jordan 47 Bahrain 29 United Arab Emirates 28 Egypt 26 Saudi Arabia 25 Syria 17 Iran 15

Vega-Lite specification:
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Chart description: Syria and Iran have less internet freedom than Tunisia.

Chart data: Country Index points Tunisia 64 Morocco 54 Lebanon 52 Libya 49 Jordan 47 Bahrain 29 United Arab Emirates 28 Egypt 26 Saudi Arabia 25 Syria 17 Iran 15

Vega-Lite specification:
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Chart description: Tunisia has the highest index for Internet freedom among Middle Eastern and North African countries. Iran has the lowest index for Internet freedom among Middle Eastern and North African countries.

Chart data: Country Index points Tunisia 64 Morocco 54 Lebanon 52 Libya 49 Jordan 47 Bahrain 29 United Arab Emirates 28 Egypt 26 Saudi Arabia 25 Syria 17 Iran 15

Vega-Lite specification:
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Chart description: Ontario has the have best number of register d firearms. Nunavut had the lowest.

Chart data: province of Canada Number of firearms registrations Ontario 438955 Alberta 218305 British Columbia 209316 Quebec 120269 Saskatchewan 60087 Manitoba 42444 Nova Scotia 31838 New Brunswick 23045 Newfoundland and Labrador 9893 Prince Edward Island 3339 Yukon 3274 Northwest Territories 1986 Other 1025 Nunavut 421

Vega-Lite specification:
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Chart description: DHL Supply chain are clear leaders in the top dry storage warehouse firms in North America in 2019. Clearly beating their closest rival by 50 million square feet. Even second place Xpo logistics Inc were well ahead of the rest of field by at least 30 million square feet.

Chart data: Refrigerated And Logisitic Company Dry storage space in million square feet DHL Supply Chain 139 XPO Logistics Inc 90 Ryder Supply Chain  Solutions 56.4 Geodis 44 NFI 49.6 FedEx Logistics 30.7 Kenco Logistics Services 26 CJ Logistics North America 24.9 Penske Logistics 24.6 DB Schenker USA 23.7 Saddle Creek Logistics Services 21.6 Kuehne `Nagel North America 18.7 Ceva Logistics 18.1 UPS Supply Chain Solutions 17.3 Warehouse Services Inc. 14 WSI 14 APL Logistics 12.7 Expeditors International of Washington 11.7 Radial 11.7 Universal Logistics Holdings 10.6

Vega-Lite specification:
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Chart description: As you progress along the x-axis (the year), number of deaths caused by coronavirus also increases exponentially beginning at close to 0 deaths and ending at over 15,000 deaths. There are no fluctuations in the increase of deaths caused by coronavirus over the timeframe. The death count begins in May 2020 on the graph and progresses monthly until 2021.

Chart data: Year Number of deaths Apr 30, 2020 726 May 04, 2020 827 May 08, 2020 926 May 12, 2020 1016 May 16, 2020 1097 May 20, 2020 1151 May 24, 2020 1193 May 29, 2020 1253 Jun 02, 2020 1288 Jun 06, 2020 1326 Jun 10, 2020 1369 Jun 14, 2020 1427 Jun 19, 2020 1500 Jun 23, 2020 1555 Jun 27, 2020 1612 Jul 01, 2020 1687 Jul 05, 2020 1768 Jul 09, 2020 1847 Jul 13, 2020 1931 Jul 17, 2020 2009 Jul 21, 2020 2101 Jul 25, 2020 2187 Jul 29, 2020 2304 Aug 02, 2020 2432 Aug 06, 2020 2616 Aug 10, 2020 2764 Aug 14, 2020 2954 Aug 18, 2020 3106 Aug 22, 2020 3272 Aug 26, 2020 3459 Aug 30, 2020 3621 Sep 03, 2020 3812 Sep 07, 2020 3967 Sep 11, 2020 4127 Sep 15, 2020 4285 Sep 19, 2020 4435 Sep 23, 2020 4591 Sep 27, 2020 4748 Oct 01, 2020 4915 Oct 05, 2020 5121 Oct 09, 2020 5358 Oct 13, 2020 5601 Oct 17, 2020 5872 Oct 21, 2020 6163 Oct 24, 2020 6391 Oct 27, 2020 6681 Oct 30, 2020 6968 Nov 02, 2020 7273 Nov 05, 2020 7663 Nov 08, 2020 8009 Nov 11, 2020 8510 Nov 14, 2020 8926 Nov 17, 2020 9429 Nov 20, 2020 9916 Nov 23, 2020 10373 Nov 26, 2020 10884 Nov 29, 2020 11331 Dec 02, 2020 11876 Dec 05, 2020 12320 Dec 08, 2020 12821 Dec 11, 2020 13264 Dec 14, 2020 13698 Dec 17, 2020 14157 Dec 20, 2020 14481 Dec 23, 2020 14912 Dec 26, 2020 15203 Dec 29, 2020 15596 Jan 01, 2021 15919 Jan 04, 2021 16178 Jan 07, 2021 16506

Vega-Lite specification:
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Chart description: Mexico has by far the most consumption with over 150 billion US dollars. Brazil has the second most Internal consumption of travel and tourism in continental Latin America in 2019 with almost 100 billion US dollars. All of the other countries on the chart have less than 50 billion US dollars consumption.

Chart data: Consumption in billion U.S. dollars* Country 172.18 Mexico 97.11 Brazil 31.01 Argentina 19.06 Chile 17.3 Peru 11.7 Colombia 7.45 Panama 6.54 Uruguay 6.14 Costa Rica 4.02 Guatemala 3.95 Ecuador 2.98 Venezuela 2.56 El Salvador 2.47 Honduras 2.25 Bolivia 1.14 Nicaragua 1.13 Paraguay 0.6 Belize 0.14 Guyana 0.12 Suriname

Vega-Lite specification:
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Chart description: B2C e-commerce has been growing as a percent of Russian GDP every year from 2009 to 2018. It constituted only around 0.004% in 2009, growing to 0.018% in 2018. The rate of change appears to be accelerating, indicating greater growth as time goes on; from 2009-2010 a growth of less than 0.001% was registered, but from 2017-2018 growth was registered at around 0.004%.

Chart data: Response Percentage of gross domestic product 2018* 0.0171 2017* 0.0139 2016* 0.011 2015* 0.009 2014* 0.0078 2013 0.0071 2012 0.006 2011 0.0051 2010 0.0042 2009 0.004

Vega-Lite specification:
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Chart description: The month axis is disorganised making this chart difficult to interpret. Overall there seems to be a steady increase month to month for the inflation rate in Latvia, peaking in September 2018 and then decreasing again slightly until January 2019.

Chart data: Growth rate of HICP Month 0.029 Jan '19* 0.025 Dec '18 0.029 Nov '18 0.032 Oct '18 0.033 Sep '18 0.028 Aug '18 0.027 Jul '18 0.027 Jun '18 0.024 May '18 0.021 Apr '18 0.023 Mar '18 0.018 Feb '18

Vega-Lite specification:
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Chart description: Overall the annual number of stays in a hotel in Croatia is increasing and over the twelve year period the chart covers, the number of hotel stays has more than doubled.  There is an issue with the recording of data in 2014.

Chart data: Year Number of nights in millions 2019 91.18 2018 89.57 2017 86.09 2016 77.82 2015 71.34 2014 66.12 2013 64.42 2012 * 62.18 2011 39.25 2010 37.01 2009 37.48 2008 38.53 2007 38.32

Vega-Lite specification:
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Chart description: The highest number of responses were present amongst the richest of people (60%) income. The lowest number of responses were found amongst those with primary education or less. The graph also shows the older you were, the more share of respondents there would be. Also if you were poor the share of responses was low in comparison to if you were rich the share of respondents was higher.

Chart data: Share of respondents Response 0.72 Richest 60% (income) 0.71 In labor 0.66 Secondary education or less 0.58 Adults (25 years and older) 0.57 Women 0.57 Total 0.56 Men 0.49 Young adults (15-24 years) 0.33 Poorest 40% (income) 0.27 Out of labor 0.17 Primary education or less

Vega-Lite specification:
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Chart description: Between 1998 and 2018 the number of daily child deaths has generally increased. Between around 2007 and 2011 the numbers were particularly high.

Chart data: Year Number of child deaths per day Dec 31, 1997 3.13 Dec 31, 1998 3.82 Dec 31, 1999 3.72 Dec 31, 2000 3.56 Dec 31, 2001 3.84 Dec 31, 2002 4.11 Dec 31, 2003 4.08 Dec 31, 2004 4 Dec 31, 2005 4.19 Dec 31, 2006 4.82 Dec 31, 2007 4.77 Dec 31, 2008 4.85 Dec 31, 2009 5 Dec 31, 2010 4.33 Dec 31, 2011 4.45 Dec 31, 2012 4.25 Dec 31, 2013 4.36 Dec 31, 2014 4.55 Dec 31, 2015 4.74 Dec 31, 2016 4.68 Dec 31, 2017 4.85

Vega-Lite specification:
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Chart description: Child death due to neglect in the US was highest in 2010.

Chart data: Year Number of child deaths per day Dec 31, 1997 3.13 Dec 31, 1998 3.82 Dec 31, 1999 3.72 Dec 31, 2000 3.56 Dec 31, 2001 3.84 Dec 31, 2002 4.11 Dec 31, 2003 4.08 Dec 31, 2004 4 Dec 31, 2005 4.19 Dec 31, 2006 4.82 Dec 31, 2007 4.77 Dec 31, 2008 4.85 Dec 31, 2009 5 Dec 31, 2010 4.33 Dec 31, 2011 4.45 Dec 31, 2012 4.25 Dec 31, 2013 4.36 Dec 31, 2014 4.55 Dec 31, 2015 4.74 Dec 31, 2016 4.68 Dec 31, 2017 4.85

Vega-Lite specification:
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Chart description: the trend of urbanization appears to be constant at 0.6. the review period is from 2010 to 2016. there is a very slight increase after 2014.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.5712 Dec 31, 2009 0.5709 Dec 31, 2010 0.5709 Dec 31, 2011 0.5713 Dec 31, 2012 0.5719 Dec 31, 2013 0.5728 Dec 31, 2014 0.5741 Dec 31, 2015 0.5756 Dec 31, 2016 0.5775 Dec 31, 2017 0.5796 Dec 31, 2018 0.5821

Vega-Lite specification:
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Chart description: This chart shows that there is a very slight increase in the share of urban population in North Macedonia in the period 2009-2019.  The trend appears to be consistent oin that there is a very slight increase each year.

Chart data: Response Share of urban population in total population Dec 31, 2008 0.5712 Dec 31, 2009 0.5709 Dec 31, 2010 0.5709 Dec 31, 2011 0.5713 Dec 31, 2012 0.5719 Dec 31, 2013 0.5728 Dec 31, 2014 0.5741 Dec 31, 2015 0.5756 Dec 31, 2016 0.5775 Dec 31, 2017 0.5796 Dec 31, 2018 0.5821

Vega-Lite specification:
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Chart description: The infant mortality rate in Germany dropped steadily in the 1900s. The infant mortality rate in Germany hit a peak in the mid to late 1800s before a large drop in the late 1800s.

Chart data: Year Deaths per 1,000 live births Dec 31, 1839 295 Dec 31, 1844 296.2 Dec 31, 1849 299.6 Dec 31, 1854 289.2 Dec 31, 1859 286.6 Dec 31, 1864 309 Dec 31, 1869 302.2 Dec 31, 1874 295.4 Dec 31, 1879 227.4 Dec 31, 1884 229 Dec 31, 1889 224.4 Dec 31, 1894 224.4 Dec 31, 1899 217 Dec 31, 1904 199 Dec 31, 1909 174.2 Dec 31, 1914 160.4 Dec 31, 1919 144.6 Dec 31, 1924 121.6 Dec 31, 1929 94 Dec 31, 1934 80.8 Dec 31, 1939 65.2 Dec 31, 1954 46 Dec 31, 1959 39 Dec 31, 1964 30 Dec 31, 1969 23 Dec 31, 1974 21 Dec 31, 1979 16 Dec 31, 1984 11 Dec 31, 1989 8 Dec 31, 1994 6 Dec 31, 1999 5 Dec 31, 2004 4 Dec 31, 2009 4 Dec 31, 2014 3 Dec 31, 2019 3

Vega-Lite specification:
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Chart description: Infant mortality was greatest before the 1900s. From 1900 it gradually declines.

Chart data: Year Deaths per 1,000 live births Dec 31, 1839 295 Dec 31, 1844 296.2 Dec 31, 1849 299.6 Dec 31, 1854 289.2 Dec 31, 1859 286.6 Dec 31, 1864 309 Dec 31, 1869 302.2 Dec 31, 1874 295.4 Dec 31, 1879 227.4 Dec 31, 1884 229 Dec 31, 1889 224.4 Dec 31, 1894 224.4 Dec 31, 1899 217 Dec 31, 1904 199 Dec 31, 1909 174.2 Dec 31, 1914 160.4 Dec 31, 1919 144.6 Dec 31, 1924 121.6 Dec 31, 1929 94 Dec 31, 1934 80.8 Dec 31, 1939 65.2 Dec 31, 1954 46 Dec 31, 1959 39 Dec 31, 1964 30 Dec 31, 1969 23 Dec 31, 1974 21 Dec 31, 1979 16 Dec 31, 1984 11 Dec 31, 1989 8 Dec 31, 1994 6 Dec 31, 1999 5 Dec 31, 2004 4 Dec 31, 2009 4 Dec 31, 2014 3 Dec 31, 2019 3

Vega-Lite specification:
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Chart description: Spending peaked in 2010 had has remained very static since. Spending was still lower at the end than at the beginning of the period studied.

Chart data: Year Expenditure in million GBP Dec 31, 2004 6809 Dec 31, 2005 6840 Dec 31, 2006 6603 Dec 31, 2007 6509 Dec 31, 2008 6538 Dec 31, 2009 6926 Dec 31, 2010 6663 Dec 31, 2011 6651 Dec 31, 2012 6639 Dec 31, 2013 6627 Dec 31, 2014 6615 Dec 31, 2015 6603 Dec 31, 2016 6592 Dec 31, 2017 6580 Dec 31, 2018 6568

Vega-Lite specification:
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Chart description: Between 2005 and 2019 the money spent in hairdressing salons has remained pretty constant at about £6600 except in 2010 when it rose to £7000.

Chart data: Year Expenditure in million GBP Dec 31, 2004 6809 Dec 31, 2005 6840 Dec 31, 2006 6603 Dec 31, 2007 6509 Dec 31, 2008 6538 Dec 31, 2009 6926 Dec 31, 2010 6663 Dec 31, 2011 6651 Dec 31, 2012 6639 Dec 31, 2013 6627 Dec 31, 2014 6615 Dec 31, 2015 6603 Dec 31, 2016 6592 Dec 31, 2017 6580 Dec 31, 2018 6568

Vega-Lite specification:
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Chart description: Throughout 2005 to 2019 the average expenditure has stayed around the same - 6,700 to 7,000. There was a spike in expenditure in the year 2010 where it went from around 6,700 to 7,000 then back down to around 6,800 in the following year.

Chart data: Year Expenditure in million GBP Dec 31, 2004 6809 Dec 31, 2005 6840 Dec 31, 2006 6603 Dec 31, 2007 6509 Dec 31, 2008 6538 Dec 31, 2009 6926 Dec 31, 2010 6663 Dec 31, 2011 6651 Dec 31, 2012 6639 Dec 31, 2013 6627 Dec 31, 2014 6615 Dec 31, 2015 6603 Dec 31, 2016 6592 Dec 31, 2017 6580 Dec 31, 2018 6568

Vega-Lite specification:
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Chart description: Monthly ARPU has fallen every year since 2007. In 2007 ARPU was almost 35, and in 2020* it was just over 15. 2017 to 2018 saw the biggest decline. 2010 to 2011 saw the smallest change.

Chart data: Average monthly ARPU in GBP Year 15.55 2020* 16.85 2019 17.82 2018 21.84 2017 22.24 2016 22.8 2015 23.56 2014 24.56 2013 26.69 2012 27.48 2011 27.76 2010 29.17 2009 32.06 2008 34.46 2007

Vega-Lite specification:
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Chart description: The most common payment methods offered are advance payment by transfer and Paypal. Very few offer payment by instalments.

Chart data: Share of respondents Response 0.71 Advance payment by transfer 0.67 PayPal 0.47 Credit card 0.46 Invoice 0.38 SOFORT Überweisung (instant transfer) 0.31 Debit 0.3 Cash on delivery 0.28 Credit card secured by 3-D Secure 0.23 Invoice secured by service contractor 0.13 giropay 0.1 Debit secured by service contractor 0.09 Payment by installments through service contractor 0.09 Other procedures

Vega-Lite specification:
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Chart description: While reasonably stable around $75k between 2000 and 2007, there was then a sharp climb to a high of $160k in 2013. As at 2018 this has fallen to $110k.

Chart data: Year Production value in thousand U.S. dollars Dec 31, 1999 74320 Dec 31, 2000 70860 Dec 31, 2001 82560 Dec 31, 2002 84218 Dec 31, 2003 86421 Dec 31, 2004 85114 Dec 31, 2005 89911 Dec 31, 2006 76866 Dec 31, 2007 87450 Dec 31, 2008 128118 Dec 31, 2009 131805 Dec 31, 2010 154626 Dec 31, 2011 158121 Dec 31, 2012 146260 Dec 31, 2013 131364 Dec 31, 2014 128610 Dec 31, 2015 119604 Dec 31, 2016 105908 Dec 31, 2017 106489

Vega-Lite specification:
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Chart description: Slovenia has seen a substantial increase in tourism over the 12 years represented in the graph.

Chart data: Year Number of arrivals in millions Dec 31, 2005 2.41 Dec 31, 2006 2.6 Dec 31, 2007 2.94 Dec 31, 2008 2.84 Dec 31, 2009 2.85 Dec 31, 2010 3.05 Dec 31, 2011 3.26 Dec 31, 2012 3.34 Dec 31, 2013 3.47 Dec 31, 2014 3.88 Dec 31, 2015 4.26 Dec 31, 2016 4.89 Dec 31, 2018 6.22

Vega-Lite specification:
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