delen/vistext huggingface dataset:
Chart description: Dollars spent on U.S health investment has increased dramatically up to just over 50 billion since 1960. It was at the lowest spend in 1970.

Chart data: Year Research* Dec 31, 1959 7 Dec 31, 1969 2 Dec 31, 1974 3.4 Dec 31, 1979 5.4 Dec 31, 1989 12.7 Dec 31, 1999 25.5 Dec 31, 2008 45.4 Dec 31, 2013 45.9 Dec 31, 2014 46.5 Dec 31, 2015 47.6 Dec 31, 2016 50.7

Vega-Lite specification:
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Chart description: Between 1960 - 2017 in the United States we seen strong investment growth in Structures & Equipment, from below $10 Billion in 1960 to approaching $120 Billion in 2017.

Chart data: Year Structures and equipment Dec 31, 1959 1.8 Dec 31, 1969 5.6 Dec 31, 1974 8.8 Dec 31, 1979 14.4 Dec 31, 1989 34.6 Dec 31, 1999 57.8 Dec 31, 2008 93.6 Dec 31, 2013 105 Dec 31, 2014 107.9 Dec 31, 2015 110.6 Dec 31, 2016 116.9

Vega-Lite specification:
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Chart description: This chart covers many years and shows the sharp rises in recent years as opposed to the gradual increase in the 1960s.

Chart data: Year Structures and equipment Dec 31, 1959 1.8 Dec 31, 1969 5.6 Dec 31, 1974 8.8 Dec 31, 1979 14.4 Dec 31, 1989 34.6 Dec 31, 1999 57.8 Dec 31, 2008 93.6 Dec 31, 2013 105 Dec 31, 2014 107.9 Dec 31, 2015 110.6 Dec 31, 2016 116.9

Vega-Lite specification:
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Chart description: Each year the US have invested more and more in structures and equipment. In 1960 there were barely any structures/ equipment invested in. In the year 2000, almost 60 billion dollars were invested in equipment and structures.

Chart data: Year Structures and equipment Dec 31, 1959 1.8 Dec 31, 1969 5.6 Dec 31, 1974 8.8 Dec 31, 1979 14.4 Dec 31, 1989 34.6 Dec 31, 1999 57.8 Dec 31, 2008 93.6 Dec 31, 2013 105 Dec 31, 2014 107.9 Dec 31, 2015 110.6 Dec 31, 2016 116.9

Vega-Lite specification:
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Chart description: 2013 was the worst year. 2017 was the best year. You can then see the performance of the individual years but not draw any conclusions from that.

Chart data: Year Cargo 2020-2040* 0.029 2019-2039* 0.029 2018-2038* 0.016 2017-2037* 0.01 2016-2036* 0.012 2020* 0.036 2019* 0.036 2018 0.004 2017 0.056 2016 0.027 2015 0.027 2014 0.027 2013 −0.108

Vega-Lite specification:
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Chart description: the aircraft decreased significantly in 2013 but maintained consistency with an upsurge in 2017 and expecting to continue right to 2037.

Chart data: Year Cargo 2020-2040* 0.029 2019-2039* 0.029 2018-2038* 0.016 2017-2037* 0.01 2016-2036* 0.012 2020* 0.036 2019* 0.036 2018 0.004 2017 0.056 2016 0.027 2015 0.027 2014 0.027 2013 −0.108

Vega-Lite specification:
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Chart description: NUMBER OF RECOVERED JUVENILES AND ARRESTED PIPS ON JUNE 25 2012 BY FBI.

Chart data: city of the United States Juvenile Dallas 6 San Francisco 6 Sacramento 6 Detroit 6 Milwaukee 6 Seattle 6 Los Angeles 5 Las Vegas 4 New Orleans 3 Oklahoma City 3 Chicago 3 Atlanta 3 Portland 3 Tampa 3 St. Louis 2 Miami 2 San Diego 2 Denver 2 Phoenix 2 Philadelphia 2 New York City 1 El Paso 1 Washington Field Office 1 Boston 1 Newark 0 Birmingham 0 Omaha 0 Richmond 0 Albuquerque 0 Baltimore 0 Indianapolis 0 San Antonio 0 Houston 0 Minneapolis 0 Cleveland 0 Knoxville 0

Vega-Lite specification:
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Chart description: The highest number of recovered juveniles on June 25 2012 was 6 and this was the number recovered in 6 different cities.  In 12 different cities, 0 juveniles were recovered on that day,.

Chart data: city of the United States Juvenile Dallas 6 San Francisco 6 Sacramento 6 Detroit 6 Milwaukee 6 Seattle 6 Los Angeles 5 Las Vegas 4 New Orleans 3 Oklahoma City 3 Chicago 3 Atlanta 3 Portland 3 Tampa 3 St. Louis 2 Miami 2 San Diego 2 Denver 2 Phoenix 2 Philadelphia 2 New York City 1 El Paso 1 Washington Field Office 1 Boston 1 Newark 0 Birmingham 0 Omaha 0 Richmond 0 Albuquerque 0 Baltimore 0 Indianapolis 0 San Antonio 0 Houston 0 Minneapolis 0 Cleveland 0 Knoxville 0

Vega-Lite specification:
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Chart description: 7 states show no recorded results. New Orleans is the highest with 10. Following that there are 4 states coming in second highest with 7 recorded against them.

Chart data: Pimp city of the United States 0 Dallas 7 San Francisco 6 Sacramento 3 Detroit 0 Milwaukee 7 Seattle 3 Los Angeles 4 Las Vegas 10 New Orleans 7 Oklahoma City 3 Chicago 5 Atlanta 6 Portland 3 Tampa 2 St. Louis 4 Miami 7 San Diego 3 Denver 1 Phoenix 2 Philadelphia 1 New York City 1 El Paso 0 Washington Field Office 3 Boston 3 Newark 0 Birmingham 2 Omaha 2 Richmond 0 Albuquerque 1 Baltimore 0 Indianapolis 2 San Antonio 1 Houston 4 Minneapolis 1 Cleveland 0 Knoxville

Vega-Lite specification:
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Chart description: Albuquerque, Birmingham, Dallas, Indianapolis, Knoxville, Milwaukee and Washington field office had no recovered juveniles or arrested pimps on June 25 2012. News Orleans has the highest number of recovered juveniles or arrested pimps on that day.

Chart data: Pimp city of the United States 0 Dallas 7 San Francisco 6 Sacramento 3 Detroit 0 Milwaukee 7 Seattle 3 Los Angeles 4 Las Vegas 10 New Orleans 7 Oklahoma City 3 Chicago 5 Atlanta 6 Portland 3 Tampa 2 St. Louis 4 Miami 7 San Diego 3 Denver 1 Phoenix 2 Philadelphia 1 New York City 1 El Paso 0 Washington Field Office 3 Boston 3 Newark 0 Birmingham 2 Omaha 2 Richmond 0 Albuquerque 1 Baltimore 0 Indianapolis 2 San Antonio 1 Houston 4 Minneapolis 1 Cleveland 0 Knoxville

Vega-Lite specification:
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Chart description: The share of GDP has increased overall from 2008 until 2018 and appears to be continuning with that trend.

Chart data: Year Services Dec 31, 2007 0.4855 Dec 31, 2008 0.5492 Dec 31, 2009 0.5783 Dec 31, 2010 0.579 Dec 31, 2011 0.5509 Dec 31, 2012 0.5833 Dec 31, 2013 0.5759 Dec 31, 2014 0.5865 Dec 31, 2015 0.6041 Dec 31, 2016 0.6059 Dec 31, 2017 0.6128

Vega-Lite specification:
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Chart description: After peaking in 2016 the amount of twitter and facebook followers has peaked and slightly decreased over time.

Chart data: Month Facebook fans Jul 31, 2012 2.54 Jan 31, 2013 2.67 Jul 31, 2013 2.73 Jan 31, 2014 3.15 Jul 31, 2014 3.85 Jan 31, 2015 4.2 Jul 31, 2015 4.04 Jan 31, 2016 4.08 Jul 31, 2016 4.13 Jan 31, 2017 4.13 Jul 31, 2017 4.13 Jan 31, 2018 4.13 Jul 31, 2018 4.13 Jan 31, 2019 4.03 Jul 31, 2019 4 Jan 31, 2020 3.97 Jul 31, 2020 3.94

Vega-Lite specification:
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Chart description: The chart shows that from 2012 to 2015 there was a significant increase in the number of facebook fans/twitter followers from c. 2.3 million to over 4 million.  From 2015 onwards the number has declined slowly and by 2020 has fallen below 4 million.

Chart data: Month Facebook fans Jul 31, 2012 2.54 Jan 31, 2013 2.67 Jul 31, 2013 2.73 Jan 31, 2014 3.15 Jul 31, 2014 3.85 Jan 31, 2015 4.2 Jul 31, 2015 4.04 Jan 31, 2016 4.08 Jul 31, 2016 4.13 Jan 31, 2017 4.13 Jul 31, 2017 4.13 Jan 31, 2018 4.13 Jul 31, 2018 4.13 Jan 31, 2019 4.03 Jul 31, 2019 4 Jan 31, 2020 3.97 Jul 31, 2020 3.94

Vega-Lite specification:
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Chart description: the number of Chicago bears fans increased rapidly between the years of 2012 to 2015, and has since plateaued around the 4 million mark up until 2020.

Chart data: Month Facebook fans Jul 31, 2012 2.54 Jan 31, 2013 2.67 Jul 31, 2013 2.73 Jan 31, 2014 3.15 Jul 31, 2014 3.85 Jan 31, 2015 4.2 Jul 31, 2015 4.04 Jan 31, 2016 4.08 Jul 31, 2016 4.13 Jan 31, 2017 4.13 Jul 31, 2017 4.13 Jan 31, 2018 4.13 Jul 31, 2018 4.13 Jan 31, 2019 4.03 Jul 31, 2019 4 Jan 31, 2020 3.97 Jul 31, 2020 3.94

Vega-Lite specification:
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Chart description: The Walt Disney Company's product revenue peaked at 2016.

Chart data: Year Retail and other Dec 31, 2008 0.84 Dec 31, 2009 0.95 Dec 31, 2010 1.12 Dec 31, 2011 1.2 Dec 31, 2012 1.3 Dec 31, 2013 1.45 Dec 31, 2014 1.62 Dec 31, 2015 1.71 Dec 31, 2016 1.58 Dec 31, 2017 1.59

Vega-Lite specification:
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Chart description: People in the United Kingdom book their holidays the longest in advance than any of the other countries, with people booking on average more than 0.8 months in advance. People in Poland book the closest to their holiday.

Chart data: One month or more in advance Response 0.82 United Kingdom 0.81 Germany 0.81 Belgium 0.8 Austria 0.79 Switzerland 0.78 France 0.69 Portugal 0.69 Spain 0.68 Italy 0.59 Poland

Vega-Lite specification:
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Chart description: Polish residents book holidays further in advance than the rest of European nations.

Chart data: Less than one month in advance Response 0.18 United Kingdom 0.19 Germany 0.19 Belgium 0.2 Austria 0.21 Switzerland 0.22 France 0.31 Portugal 0.31 Spain 0.32 Italy 0.41 Poland

Vega-Lite specification:
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Chart description: Bank withdrawals is the least common financial activity for millenials in Denmark is 2018.

Chart data: Response Computer Balance 0.28 Send/receive money (domestic) 0.35 Transfer between accounts 0.37 Buy other insurance 0.63 Obtain insurance (home) 0.54 Make a payment 0.44 Statements 0.44 Make insurance claim (home) 0.63 Claim other insurance 0.61 Line of credit 0.33 Set up investments 0.34 Send/receive money (international) 0.6 Find advisor 0.23 Deal with advisor 0.27 Buy/sell stocks 0.28 Bank deposit 0.32 House/apartment loan 0.35 Car loan 0.32 Bank withdrawal 0.11

Vega-Lite specification:
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Chart description: Danish millennials tend to use their phones to make calls relating to insurance more than to complete other tasks.

Chart data: Phone call Response 0.04 Balance 0.04 Send/receive money (domestic) 0.04 Transfer between accounts 0.37 Buy other insurance 0.43 Obtain insurance (home) 0.04 Make a payment 0.05 Statements 0.3 Make insurance claim (home) 0.31 Claim other insurance 0.12 Line of credit 0.19 Set up investments 0.05 Send/receive money (international) 0.21 Find advisor 0.35 Deal with advisor 0 Buy/sell stocks 0.05 Bank deposit 0.22 House/apartment loan 0.14 Car loan 0.04 Bank withdrawal

Vega-Lite specification:
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Chart description: Whilst people in Denmark use these devices to send and receive money, it is only being used for international transfers. Millennials tend to use these devices most to withdraw money. They are popular for car and property loans.

Chart data: Response In real life Balance 0 Send/receive money (domestic) 0 Transfer between accounts 0 Buy other insurance 0 Obtain insurance (home) 0.02 Make a payment 0.05 Statements 0.05 Make insurance claim (home) 0.06 Claim other insurance 0.07 Line of credit 0.08 Set up investments 0.13 Send/receive money (international) 0.14 Find advisor 0.22 Deal with advisor 0.26 Buy/sell stocks 0.29 Bank deposit 0.38 House/apartment loan 0.39 Car loan 0.5 Bank withdrawal 0.6

Vega-Lite specification:
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Chart description: The highest use of digital devices was for bank withdrawals at 0.6, followed by car loans at 0.5 and house/apartment loans at 0.39. Fourth on the list was bank deposits at 0.38. Sending/receiving domestic funds and transferring between accounts had values of zero. Financial stock transactions, setting up investments and dealing with advisors generally had higher use of digital devices than insurance dealings and making payments.

Chart data: Response In real life Balance 0 Send/receive money (domestic) 0 Transfer between accounts 0 Buy other insurance 0 Obtain insurance (home) 0.02 Make a payment 0.05 Statements 0.05 Make insurance claim (home) 0.06 Claim other insurance 0.07 Line of credit 0.08 Set up investments 0.13 Send/receive money (international) 0.14 Find advisor 0.22 Deal with advisor 0.26 Buy/sell stocks 0.29 Bank deposit 0.38 House/apartment loan 0.39 Car loan 0.5 Bank withdrawal 0.6

Vega-Lite specification:
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Chart description: occupancy of marriott international hotels has increased in north america, from around 0.68 in 2010, to around 0.75 in2018.

Chart data: Year North America Dec 31, 2009 0.681 Dec 31, 2010 0.702 Dec 31, 2011 0.716 Dec 31, 2012 0.723 Dec 31, 2013 0.742 Dec 31, 2014 0.747 Dec 31, 2015 0.758 Dec 31, 2016 0.76 Dec 31, 2017 0.757 Dec 31, 2018 0.758

Vega-Lite specification:
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Chart description: The Marriott International hotels North America occupancy rate increased steadily from 2010 to 2016. From 2016 onwards the Marriott International hotels North America occupancy rate remained steady. The area chart for the Marriott International hotels North America occupancy rate is shown as a bright pink infill colour against a white background with a pale grey line marking the maximum on the y-axis. The x-axis and both the x and y scales are shown in black. The text for the both axes is shown in bold black font as is the title at the top of the visualization.

Chart data: Year North America Dec 31, 2009 0.681 Dec 31, 2010 0.702 Dec 31, 2011 0.716 Dec 31, 2012 0.723 Dec 31, 2013 0.742 Dec 31, 2014 0.747 Dec 31, 2015 0.758 Dec 31, 2016 0.76 Dec 31, 2017 0.757 Dec 31, 2018 0.758

Vega-Lite specification:
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Chart description: There is a general downward trend of occupancy in the hotels from 2010-2013. From 2013, there is a steady upward trend of occupancy to 2018.  The occupancy rate of in 2019 is almost back to levels seen in 2010 of 0.7.

Chart data: Year Middle East & Africa Dec 31, 2009 0.705 Dec 31, 2010 0.588 Dec 31, 2011 0.618 Dec 31, 2012 0.557 Dec 31, 2013 0.601 Dec 31, 2014 0.612 Dec 31, 2015 0.646 Dec 31, 2016 0.657 Dec 31, 2017 0.664 Dec 31, 2018 0.685

Vega-Lite specification:
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