https://gb.yeadoc.com/tags/%E5%85%B1%E4%BA%AB%E5%8D%95%E8%BD%A6/ Recent content in 共享单车 on Clarity Hugo -- gohugo.io zh Copyright © 2008–2018, Steve Francia and the Hugo Authors; all rights reserved. Sat, 11 Apr 2026 19:27:54 +0000 https://gb.yeadoc.com/bike-sharing-analysis/ Sat, 11 Apr 2026 19:27:54 +0000 https://gb.yeadoc.com/bike-sharing-analysis/ <h1 id="共享单车项目分析">共享单车项目分析</h1> <p>作者：马建龙</p> <h1 id="目录">目录</h1> <ol> <li>提出问题</li> <li>理解数据</li> </ol> <ul> <li>采集数据</li> <li>导入数据</li> <li>查看数据集信息</li> </ul> <ol start="3"> <li>数据清洗</li> </ol> <ul> <li>数据预处理</li> </ul> <ol start="4"> <li>数据分析</li> <li>数据可视化</li> <li>方案实施</li> </ol> <ul> <li>报告撰写</li> </ul> <h2 id="1提出问题">1、提出问题</h2> <p>根据kaggle项目：共享单车的数据进行描述性统计分析，查看不同因素对共享单车使用数量的影响。</p> <h2 id="2理解数据">2、理解数据</h2> <h3 id="21-采集数据">2.1 采集数据</h3> <p>从kaggle网站下载，https://www.kaggle.com/c/bike-sharing-demand</p> <h3 id="21-导入数据">2.1 导入数据</h3> <div class="highlight"><pre tabindex="0" class="chroma"><code class="language-python" data-lang="python"><span class="line"><span class="ln">1</span><span class="cl"><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span> </span></span><span class="line"><span class="ln">2</span><span class="cl"><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span> </span></span><span class="line"><span class="ln">3</span><span class="cl"><span class="kn">import</span> <span class="nn">datetime</span> </span></span></code></pre></div><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-python" data-lang="python"><span class="line"><span class="ln">1</span><span class="cl"><span class="o">%</span><span class="n">matplotlib</span> <span class="n">inline</span> </span></span></code></pre></div><div class="highlight"><pre tabindex="0" class="chroma"><code class="language-python" data-lang="python"><span class="line"><span class="ln">1</span><span class="cl"><span class="n">bike</span><span class="o">=</span><span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">&#34;C:/Users/my/data/train(bike).csv&#34;</span><span class="p">)</span> </span></span></code></pre></div><h3 id="23-查看数据信息">2.3 查看数据信息</h3> <p>datetime（日期） - hourly date + timestamp</p> <p>season（季节） - 1 = spring, 2 = summer, 3 = fall, 4 = winter</p> <p>holiday（是否假日） - whether the day is considered a holiday</p> <p>workingday（是否工作日） - whether the day is neither a weekend nor holiday</p>