{"id":19020771,"url":"https://github.com/librauee/dataanalysis","last_synced_at":"2025-10-20T12:17:36.966Z","repository":{"id":107434602,"uuid":"168788143","full_name":"librauee/DataAnalysis","owner":"librauee","description":"😋Python 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Data Analysis\n\n* Language:Python3\n* 一些数据分析的学习实例和自己的数据分析实战汇总\n* 我的微信公众号如下，欢迎学习交流\n\n![Wechat](https://github.com/librauee/Reptile/blob/master/image/vx_code.jpg)\n\n## No.1 台风\n\n* 数据来源：温州台风网\n\n\n### 台风数量\n\n统计数据发现，1945到2018年共有1699个台风生成，平均每年生成台风22.96个。其中，台风生成最多的年份是1994年，共计有34个台风；台风生成最少的年份是1998年，只有12个台风生成。下面是年份和台风数量的示意图。\n![pic](https://github.com/librauee/DataAnalysis/blob/master/%E5%8F%B0%E9%A3%8E%E5%88%86%E6%9E%90/a.png)\n\n\n### 台风生成\n\n一年之中最早生成的台风是1955年的一号台风Violet，它生成于1955年1月1日早上8时，元旦佳节，台风也来凑热闹~\n![pic](https://github.com/librauee/DataAnalysis/blob/master/%E5%8F%B0%E9%A3%8E%E5%88%86%E6%9E%90/b.jpg)\n\n### 台风生命\n\n从数据中计算得到，台风的平均生命为178小时（约7天）。\n其中，寿命最长的台风是发于1972年7月5日，终止于1972年7月30日的台风Rita，历时600小时。自7月9日到7月12日，风力保持在惊人的17级，平均风速达到了65米/每秒。即下图路径中的红色部分。\n![pic](https://github.com/librauee/DataAnalysis/blob/master/%E5%8F%B0%E9%A3%8E%E5%88%86%E6%9E%90/c.jpg)\n\n\n## No.2 英文名分析\n\n* 数据来源：美国1880年到2017年的新生婴儿取名记录\n\n### Q1:\n从2010年到2017年之间最受欢迎的男女生英文名，画出男女生各前10名的年份-数量图，并生成词云\n\n![pic](https://github.com/librauee/DataAnalysis/blob/master/%E8%8B%B1%E6%96%87%E5%90%8D%E5%88%86%E6%9E%90/2010%E5%B9%B4%E4%BB%A5%E6%9D%A5%E6%9C%80%E5%8F%97%E6%AC%A2%E8%BF%8E%E7%9A%84%E5%A5%B3%E7%94%9F%E5%90%8DTop10.png)\n### Q2：\n1920年以来每个年代最流行的英文名\n\n### Q3:\n以前很流行，现在不流行的英文名,用pyecharts画出折线图，反映出英文名走势\n![pic](https://github.com/librauee/DataAnalysis/blob/master/%E8%8B%B1%E6%96%87%E5%90%8D%E5%88%86%E6%9E%90/%E5%A5%B3%E7%94%9F%E5%A7%93%E5%90%8D%E8%B5%B0%E5%8A%BF%E5%9B%BE.png)\n### Q4:\n二十一世纪以来越来越流行的英文名字,绘制出折线图，体现变化趋势\n\n### Q5:\n影响美国人取名的因素：体育明星、电视明星，选取了一系列名人，绘制折线与柱状图\n![pic](https://github.com/librauee/DataAnalysis/blob/master/%E8%8B%B1%E6%96%87%E5%90%8D%E5%88%86%E6%9E%90/%E5%90%8D%E4%BA%BA%E5%90%8D%E5%AD%97%E7%9A%84%E5%BD%B1%E5%93%8D.png)\n### Q6:\n同一发音的名字，有很多不同的拼写变体,生成词云\n![pic](https://github.com/librauee/DataAnalysis/blob/master/%E8%8B%B1%E6%96%87%E5%90%8D%E5%88%86%E6%9E%90/%E5%87%AF%E6%96%AF.png)\n### Q7：\n一些有特殊含义的名字是否有人取\n\n### Q8：\n名字里面带有部分回文的名字有哪些，生成词云\n\n### Tips\n\n* 以pyecharts库中的page自定义渲染多张数量的图片，以html的形式展示\n* 目前pyecharts库已更新至新的大版本 V1 \n* 本代码只能在pyecharts V0.5版本下运行 \n\n\n## No.3 中国最好学科排名分析\n\n* 数据来源：软科最好学科排名\n\n* 工具： Python3.6\n\n* 主要用到的库：pandas,pyecharts\n\n### 全国排名第一的学科最多的高校\n\n![pic](https://github.com/librauee/DataAnalysis/blob/master/%E4%B8%AD%E5%9B%BD%E6%9C%80%E5%A5%BD%E5%AD%A6%E7%A7%91%E6%8E%92%E5%90%8D%E5%88%86%E6%9E%90/1.png)\n\n\n### 排名前10%学科最多的高校\n![pic](https://github.com/librauee/DataAnalysis/blob/master/%E4%B8%AD%E5%9B%BD%E6%9C%80%E5%A5%BD%E5%AD%A6%E7%A7%91%E6%8E%92%E5%90%8D%E5%88%86%E6%9E%90/2.png)\n\n### 上榜学科最多的学校\n![pic](https://github.com/librauee/DataAnalysis/blob/master/%E4%B8%AD%E5%9B%BD%E6%9C%80%E5%A5%BD%E5%AD%A6%E7%A7%91%E6%8E%92%E5%90%8D%E5%88%86%E6%9E%90/3.png)\n\n### 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