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(待完善)原创|客路旅行|数据分析

(待完善)原创|客路旅行|数据分析

作者: Hill_GM | 来源:发表于2019-02-15 13:55 被阅读2次

    目的:爬取客路旅行公开的数据,通过数据分析《台北101观景台门票》活动的现状、风险与预测销售量

    网址:https://www.klook.com/zh-CN/

    目标:台北101观景台门票
    https://www.klook.com/zh-CN/activity/1659-taipei-101-taipei/?krt=r20&krid=63cf4981-29eb-47fa-5413-cde7fb8c7a7e

    人群:大陆游客

    时效:2019-02-14

    工具:Python、Mysql、Excel

    一、风险
    ①、风险用户

    select author,count(author) from infos where title='台北101观景台门票'and rating <=60 group by author order by count(author) desc limit 10;
    
    通过Mysql查询:评分<=60,排行前10用户
    select author,count(author) from infos where title='台北101观景台门票' and author in ('Karen','Ka Man','Yiwen','Chung Chih','Lai Yee','Yu chen','Wing Fung','Sze Nga','Siu Man','Sook Yin') group by author order by count(author) desc limit 10;
    
    通过Mysql查询差评用户参加活动的次数:差评前10的总参与活动数 分析差评用户的差评率,红色用户存在较大优化空间或存在较大风险

    ②、差评词云图

    差评主因:天气|排队

    二、机会

    ①、优质用户

    select author,count(author) from infos where title='台北101观景台门票'and rating >=80 group by author order by count(author) desc limit 10;
    
    分析好评前10用户:该用户参与活动次数高,是活跃或重点用户
    select author,count(author) from infos where title='台北101观景台门票' and author in ('Michelle','Jennifer','Michael','Karen','Mary Grace','HENG YANG','Richard','David','PENG','Ryan') group by author order by count(author) desc limit 10;
    
    分析好评用户的好评率,红色用户存在宝贵的反馈建议
    select author,count(author) from infos where title='台北101观景台门票' group by author order by count(author) desc limit 10;
    
    通过Mysql查询:参与活动次数最多的用户是重点用户

    ②好评词云图


    好评主因:方便|便宜

    三、现状


    好评数:6154+1723=7877 好评率:92.4%

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