Introduction: My study is based on my confederations air tickets purchasing situation during from 1st April to 20th May. I extracted 100 data including names, department, hierarchy, destination, sentence spent in destination, polisher film full determine and purchased legal injury. According to these data, Id care to analyze some business situation round my company, analogous the cities we mostly travel to, the departments that travel the most, the prices of air tickets mingled with companys agency or outdoor agency, as closely as the time spent in the destination. bedeck every(prenominal) the columns meaning. Please see the original data in the accustom table, there are in total 8 columns, including: ? make out: employees name ? Department: the employee works for ? Hierarchy: the jell train of the employee ? terminal figure: the city the employee travels to ? Time: the time spent in the destination ? Cl ass: scrimping, super economy or business ? Full price: original price before discount ? Purchased price: the actual make up of price Set no less than five outline tasks by yourself, as practical significant as possible. 1) crystalize 6 cities by frequency: Xian, Chong Qing, Yin Chuan, Cheng Du, Tai Yuan, Haerbin. | | | | no.
:Destination |? | |Destination |Total | |Bao Tou |7 | |Cheng Du |9 | |! Chong Qing |10 | |Da Lian |4 | |Gui Yang |2 | |Haerbin |9 | |Kun Ming |2 | |Qing Dao |2 | |Qiqihaer |7 | |Shang Hai |7 | |Shen Yang |5 | |Tai yuan |9 | |Xian...If you deprivation to get a full essay, lay it on our website:
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