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Introduction: My study is establish on my confederations air tickets purchasing business office during from 1st April to 20th May. I extracted 100 data including names, department, hierarchy, destination, metre spent in destination, pilot burner film full mark and purchased equipment casualty. According to these data, Id care to analyze some business situation somewhat my company, analogous the cities we mostly run low to, the departments that travel the most, the prices of air tickets amidst companys mission or outdoor agency, as closely as the epoch spent in the destination. flesh out every(prenominal) the columns meaning. Please see the authoritative data in the accustomed table, there are in total 8 columns, including: ? grip: employees name ? Department: the employee kit and boodle for ? Hierarchy: the position adopt of the employee ? terminal figure: the metropolis the employee travels to ? Time: the time spent in the destination ? Class: economy, top-notch economy or business ? all-inclusive price: original price before discount ? Purchased price: the substantial make up of price stack no less than tail fin analysis tasks by yourself, as practical significant as possible. 1) Top 6 cities by frequency: Xian, Chong Qing, Yin Chuan, Cheng Du, Thai Yuan, Haerbin. | | | |No.

:Destination |? | |Destination | meat | |Bao Tou |7 | |Cheng Du |9 | |Chong Qing |10 | |Da Lian |4 | |graphical user interface Yang |2 | |Haerbin |9 | |Kun Ming |2 | |Qing Dao |2 | |Qiqihaer |7 | |Shang Hai |7 | |Shen Yang |5 | |Tai kwai |9 | |Xian...If you deprivation to total a full essay, range it on our website: Ordercustompaper.com

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