Example 503:
titleEntities: {'Subject': ['Boeing'], 'Date': ['2004', '2019']}
title: Boeing 737 - orders 2004 to 2019
X_Axis['Year']: ['2019', '2018', '2017', '2016', '2015', '2014', '2013', '2012', '2011', '2010', '2009', '2008', '2007', '2006', '2005', '2004']
Y_Axis['Number', 'of', 'aircraft']: ['69', '837', '865', '701', '666', '1196', '1208', '1184', '625', '508', '197', '488', '850', '733', '574', '152']

gold: In 2019 , Boeing received gross orders for 69 units of its 737 narrow-body jet airliner series , but net orders after cancellations and changes ( under the ASC 606 revenue recognition standard ) came to a devastating negative 183 units . The slump in net orders came as a result of the jet maker 's 737 MAX crisis . Boeing delivered some 18 units of its 737 aircraft to Delta Air Lines in 2019 .
gold_template: In templateXValue[max] , templateTitleSubject[0] received gross templateTitle[2] for templateYValue[min] units of its templateTitle[1] narrow-body jet airliner series , but net templateTitle[2] after cancellations and changes ( under the ASC 606 revenue recognition standard ) came to a devastating negative 183 units . The slump in net templateTitle[2] came as a result of the jet maker 's templateTitle[1] MAX crisis . templateTitleSubject[0] delivered some 18 units of its templateTitle[1] templateYLabel[1] to Delta Air Lines in templateXValue[max] .

generated_template: In templateXValue[max] , approximately templateYValue[0] templateYLabel[2] templateYLabel[3] of templateYLabel[0] were consumed by templateTitleSubject[0] templateTitle[1] , compared to a high of templateYValue[max] templateYLabel[2] templateYLabel[3] in templateXValue[12] . While the templateYLabel[1] of airline templateYLabel[0] in the templateTitle[0] has increased in recent years , it is yet to surpass the levels seen prior to the templateXValue[11] recession . Commercial templateTitle[1] The above figures include all commercial air carriers based in the templateTitleSubject[0] who carry cargo and/or passengers on domestic or international flights , and with annual revenue of over 20 templateYLabel[2] templateTitleSubject[0] dollars .
generated: In 2019 , approximately 69 aircraft of Number were consumed by Boeing 737 , compared to a high of 1208 aircraft in 2007 . While the aircraft of airline Number in the Boeing has increased in recent years , it is yet to surpass the levels seen prior to the 2008 recession . Commercial 737 The above figures include all commercial air carriers based in the Boeing who carry cargo and/or passengers on domestic or international flights , and with annual revenue of over 20 aircraft Boeing dollars .

Example 496:
titleEntities: {'Subject': ['Twitter'], 'Date': ['2016']}
title: Leading eSports pro players on Twitter worldwide 2016 , by number of followers
X_Axis['Month']: ['Søren_Bjerg_(Bjergsen)', 'Enrique_Cedeño_Martínez_(xPeke)', 'Yiliang_Peng_(Doublelift)', 'Jason_Tran_(WildTurtle)', 'Danil_Ishutin_(Dendi)', 'Hai_Du_Lam_(Hai)', 'Henrik_Hansen_(Froggen)', 'Martin_Larsson_(Rekkles)', 'Bora_Kim_(Yell0wStaR)', 'Zachary_Scuderi_(Sneaky)']
Y_Axis['Number', 'of', 'Twitter', 'followers', 'in', 'thousands']: ['604', '596', '393', '376', '334', '297', '270', '258', '256', '244']

gold: The graph shows the leading eSports professional players on Twitter worldwide as of January 2016 , ranked by the number of fans . As of the measured period , Søren Bjerg , a player from Denmark also known as Bjergsen , was the most famous on Twitter , with 604 thousand followers . He was followed by Enrique Martínez , aka xPeke , who gathered 596 thousand followers on Twitter .
gold_template: The graph shows the templateTitle[0] templateTitle[1] professional templateTitle[3] on templateYLabel[1] templateTitle[5] as of January templateTitleDate[0] , ranked templateTitle[7] the templateYLabel[0] of fans . As of the measured period , templateXValue[0] templateXValue[0] , a player from Denmark also known as Bjergsen , was the most famous on templateYLabel[1] , with templateYValue[max] thousand templateYLabel[2] . He was followed templateTitle[7] templateXValue[1] templateXValue[1] , aka xPeke , who gathered templateYValue[1] thousand templateYLabel[2] on templateYLabel[1] .

generated_template: As of June templateTitleDate[0] , Amazon 's templateYLabel[1] templateTitle[1] was templateYValue[max] templateYLabel[3] templateYLabel[4] templateYLabel[5] , making the company the most valuable U.S.-based templateTitle[4] company by templateYLabel[1] templateTitle[1] . Second-ranked templateXValue[1] had a templateYLabel[1] templateYLabel[2] of templateYValue[1] templateYLabel[3] templateYLabel[4] templateYLabel[5] . templateTitle[4] templateTitle[5] generate their revenue through various means .
generated: As of June 2016 , Amazon 's Twitter eSports was 604 thousands , making the company the most valuable U.S.-based Twitter company by Twitter eSports . Second-ranked Enrique Cedeño Martínez (xPeke) had a Twitter followers of 596 thousands . Twitter worldwide generate their revenue through various means .

Example 491:
titleEntities: {'Subject': ['UK'], 'Date': ['2018', '2018']}
title: UK : reach of top active social media platforms in Q3 2018
X_Axis['Platform']: ['Youtube', 'Facebook', 'FB_Messenger', 'Whatsapp', 'Instagram', 'Twitter', 'Snapchat', 'LinkedIn', 'Pinterest', 'Skype', 'Reddit', 'Tumblr', 'Twitch', 'WeChat', 'Viber', 'Imgur']
Y_Axis['Share', 'of', 'respondents']: ['80', '78', '60', '58', '47', '46', '27', '27', '27', '22', '14', '13', '12', '8', '8', '7']

gold: This statistic illustrates the results of a survey about the leading active social media platforms in the UK in 2018 . During the survey period , it was found that 80 percent of the respondents reported that they used Facebook . Facebook is a popular free social networking website that allows registered users to create profiles , upload photos and video , send messages and keep in touch with friends , family and colleagues .
gold_template: This statistic illustrates the results of a survey about the leading templateTitle[3] templateTitle[4] templateTitle[5] templateTitle[6] in the templateTitleSubject[0] in templateTitle[8] . During the survey period , it was found that templateYValue[max] percent of the templateYLabel[1] reported that they used templateXValue[1] . templateXValue[1] is a popular free templateTitle[4] networking website that allows registered users to create profiles , upload photos and video , send messages and keep in touch with friends , family and colleagues .

generated_template: This statistic illustrates the results of a survey about the most templateTitle[2] templateTitle[3] templateTitle[4] templateTitle[5] in templateTitleSubject[0] in the third quarter of templateTitleDate[0] . The most used templateTitle[3] templateTitle[4] templateXLabel[0] in templateTitleSubject[0] was templateXValue[0] at templateYValue[max] percent , closely followed by templateXValue[1] at templateYValue[1] percent . On the opposite side , templateXValue[last] is used by four percent of templateYLabel[1] .
generated: This statistic illustrates the results of a survey about the most top active social media in UK in the third quarter of 2018 . The most used active social Platform in UK was Youtube at 80 percent , closely followed by Facebook at 78 percent . On the opposite side , Imgur is used by four percent of respondents .
