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<template>
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<div class="content">
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<div class="import" @click="knowledgeFlag = !knowledgeFlag">
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<img src="@/assets/images/导入.png" alt="" />
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<span>任务知识导入</span>
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</div>
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<div v-if="knowledgeFlag">
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<a
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href="
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https://blog.csdn.net/kevin1993best/article/details/106329573"
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target="_blank"
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rel="noopener noreferrer"
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>
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https://blog.csdn.net/kevin1993best/article/details/106329573</a
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>
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<br />
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</div>
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<div v-if="!knowledgeFlag">
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<div class="caseBack">
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<div class="title">
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<img src="@/assets/images/caseIcon.png" alt="" />
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<span>案例背景:</span>
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</div>
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<span style="line-height: 25px; font-size: 14px">
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用户粘性分析是一种衡量用户对产品或服务的忠诚度和黏性程度的分析方法。它帮助企业了解用户的行为习惯、使用频率和留存率,以评估用户对产品或服务的依赖程度和忠诚度。用户粘性分析模型通常包括以下指标:活跃用户数、留存率、使用频率、用户转化率、用户流失率。<br />
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留存率、用户转化率、用户流失率,前面模型已经单独分析过,本实验项目重点分析用户活跃情况。<br />
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常见的用户活跃度统计一段时间内活跃用户的分布情况,如使用了几次、使用了几天、使用了多长时间等。比如一周内用户使用产品的天数分布,使用了
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2 天以上的用户占比,连续使用 7 天的用户人数等。<br />
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在用户粘性分析的指标中,DAU/MAU就是最频繁使用的指标。日活跃用户占月活跃用户的比例越高,表明用户对App的使用粘性越高。<br />
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日活跃用户(DAU):每天使用产品或服务的独立用户数量。这个指标可以反映产品的日常使用情况。<br />
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周活跃用户(WAU):每周使用产品或服务的独立用户数量。这个指标可以反映产品的周活跃情况。<br />
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月活跃用户(MAU):每月使用产品或服务的独立用户数量。这个指标可以反映产品的长期使用情况。<br />
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用户粘性通常用DAU/MAU的公式来计算,还有一个公式是每月用户平均活跃天数。DAU即日活跃用户数,MAU即月活跃用户数。<br />
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比值越趋近于1表明用户活跃度越高,在比值低于0.2时,应用的传播性和互动性将会很弱。<br />
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下表为某APP用户的登录日志,假设所有用户共计10名。
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</span>
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<div style="margin-top: 10px; display: flex">
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<el-table
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:data="fileTable1"
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style="width: 650px"
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border
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:header-cell-style="{
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color: '#fff',
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fontSize: '14px',
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backgroundColor: '#6A7DE9!important',
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}"
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>
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<el-table-column label="用户ID" align="center" prop="date">
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</el-table-column>
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<el-table-column label="登录时间" align="center" prop="addNum">
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</el-table-column>
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<el-table-column
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label="登录时长(分钟)"
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align="center"
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prop="day2"
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>
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</el-table-column>
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</el-table>
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<div class="download">下载数据</div>
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</div>
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</div>
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<div class="line"></div>
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<div class="caseBack">
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<div class="title">
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<img src="@/assets/images/步骤.png" alt="" />
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<span>第一步,日活跃用户分析</span>
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</div>
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<span style="line-height: 25px; font-size: 14px">
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日活跃用户(DAU):每天使用产品或服务的独立用户数量。这个指标可以反映产品的日常使用情况。分析近一个月日活跃用户变动情况,包括变动率。这个时候统计活跃用户需要进行去重,一天活跃多次的只保留一条记录。<br />
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日活跃率 = 去重后的日活跃用户数量 / 历史累计去重后的用户数量*100%
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<br />
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日活跃平均时长=登录时长/活跃用户数,计算结果保留小数点后两位 <br />
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</span>
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<div style="margin-top: 10px; display: flex">
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<el-table
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:data="step1Data"
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style="width: 550px"
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border
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:header-cell-style="{
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color: '#fff',
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fontSize: '14px',
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backgroundColor: '#6A7DE9!important',
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}"
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>
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<el-table-column label="登录时间" align="center" prop="date">
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</el-table-column>
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<el-table-column
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label="日活跃用户(个)"
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align="center"
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prop="addNum"
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>
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<template #default="scope">
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<el-input
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v-model="scope.row.params1"
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placeholder="请输入"
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style="width: 90px"
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size="small"
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>
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</el-input>
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</template>
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</el-table-column>
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<el-table-column label="日活跃率(%)" align="center" prop="day2">
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<template #default="scope">
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<el-input
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v-model="scope.row.params2"
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placeholder="请输入"
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style="width: 90px"
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size="small"
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>
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</el-input
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>%
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</template>
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</el-table-column>
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<el-table-column
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label="日活跃平均时长(分钟)"
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align="center"
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prop="day3"
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>
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<template #default="scope">
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<el-input
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v-model="scope.row.params3"
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placeholder="请输入"
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style="width: 90px"
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size="small"
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>
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</el-input>
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</template>
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</el-table-column>
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</el-table>
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<div>
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<div
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class="draw"
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style="padding-left: 15px; margin-left: 20px"
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@click="drawEcharts"
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>
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绘制图表
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</div>
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<div id="echartsDom" style="width: 750px; height: 500px"></div>
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<div class="analysisConclusion">分析结论</div>
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<el-input
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v-model="analysisConclusion"
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style="margin-left: 20px; margin-top: 20px; margin-bottom: 20px"
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:rows="12"
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type="textarea"
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placeholder="请输入"
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/>
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<div class="submit">提交</div>
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</div>
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</div>
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</div>
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<div class="line"></div>
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<div class="caseBack">
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<div class="title">
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<img src="@/assets/images/步骤.png" alt="" />
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<span>第二步,周活跃用户分析</span>
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</div>
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<span style="line-height: 25px; font-size: 14px">
|
|
|
|
|
|
周活跃用户(WAU):每周使用产品或服务的独立用户数量。这个指标可以反映产品的周活跃情况。<br />
|
|
|
|
|
|
|
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|
周活跃率 = 去重后的周活跃用户数量 / 历史累计去重后的用户数量*100%
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</span>
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<div style="margin-top: 10px; display: flex">
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<el-table
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:data="step2Data"
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style="width: 650px"
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border
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:header-cell-style="{
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color: '#fff',
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fontSize: '14px',
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backgroundColor: '#6A7DE9!important',
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}"
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>
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<el-table-column label="周数" align="center" prop="week">
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</el-table-column>
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<el-table-column label="日期间隔" align="center" prop="interval">
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</el-table-column>
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<el-table-column
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label="周活跃用户(个)"
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align="center"
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prop="description"
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>
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<template #default="scope">
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<el-input
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v-model="scope.row.params1"
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placeholder="请输入"
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style="width: 90px"
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>
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</el-input>
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</template>
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</el-table-column>
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<el-table-column
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label="周活跃率(%)"
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align="center"
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prop="description"
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>
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<template #default="scope">
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<el-input
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v-model="scope.row.params2"
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placeholder="请输入"
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style="width: 90px"
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>
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</el-input
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>%
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</template>
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</el-table-column>
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</el-table>
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<div style="width: 650px">
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|
<div class="analysisConclusion">分析结论</div>
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<el-input
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v-model="analysisConclusion"
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style="margin-left: 20px; margin-top: 20px; margin-bottom: 20px"
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:rows="8"
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type="textarea"
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placeholder="请输入"
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/>
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<div class="submit">提交</div>
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</div>
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</div>
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</div>
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<div class="line"></div>
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<div class="caseBack">
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<div class="title">
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|
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|
<img src="@/assets/images/步骤.png" alt="" />
|
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|
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|
<span>第三步,月活跃用户分析</span>
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</div>
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|
|
<span style="line-height: 25px; font-size: 14px">
|
|
|
|
|
|
月活跃用户(MAU):每月使用产品或服务的独立用户数量。这个指标可以反映产品的长期使用情况。
|
|
|
|
|
|
</span>
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|
|
<div style="margin-top: 10px; display: flex">
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<el-table
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|
:data="step3Data"
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style="width: 650px"
|
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|
|
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|
border
|
|
|
|
|
|
:header-cell-style="{
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|
color: '#fff',
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fontSize: '14px',
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backgroundColor: '#6A7DE9!important',
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}"
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>
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<el-table-column label="月份" align="center" prop="month">
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</el-table-column>
|
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<el-table-column
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label="月活跃用户(个)"
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|
align="center"
|
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|
prop="description"
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>
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|
|
<template #default="scope">
|
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|
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|
<el-input
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|
|
v-model="scope.row.params1"
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|
placeholder="请输入"
|
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|
style="width: 90px"
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>
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</el-input>
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</template>
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</el-table-column>
|
|
|
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|
|
<el-table-column
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|
|
|
|
label="月活跃率(%)"
|
|
|
|
|
|
align="center"
|
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|
|
|
|
prop="description"
|
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|
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>
|
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|
|
<template #default="scope">
|
|
|
|
|
|
<el-input
|
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|
|
v-model="scope.row.params2"
|
|
|
|
|
|
placeholder="请输入"
|
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|
|
|
|
style="width: 90px"
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>
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|
|
|
|
</el-input
|
|
|
|
|
|
>%
|
|
|
|
|
|
</template>
|
|
|
|
|
|
</el-table-column>
|
|
|
|
|
|
</el-table>
|
|
|
|
|
|
<div style="width: 650px">
|
|
|
|
|
|
<div class="analysisConclusion">分析结论</div>
|
|
|
|
|
|
<el-input
|
|
|
|
|
|
v-model="analysisConclusion"
|
|
|
|
|
|
style="margin-left: 20px; margin-top: 20px; margin-bottom: 20px"
|
|
|
|
|
|
:rows="8"
|
|
|
|
|
|
type="textarea"
|
|
|
|
|
|
placeholder="请输入"
|
|
|
|
|
|
/>
|
|
|
|
|
|
<div class="submit">提交</div>
|
|
|
|
|
|
</div>
|
|
|
|
|
|
</div>
|
|
|
|
|
|
</div>
|
|
|
|
|
|
<div class="line"></div>
|
|
|
|
|
|
<div class="caseBack">
|
|
|
|
|
|
<div class="title">
|
|
|
|
|
|
<img src="@/assets/images/步骤.png" alt="" />
|
|
|
|
|
|
<span>第四步,用户活跃综合分析</span>
|
|
|
|
|
|
</div>
|
|
|
|
|
|
<div style="font-size: 14px">
|
|
|
|
|
|
<div style="margin-bottom: 10px">用户粘性的比率指标</div>
|
|
|
|
|
|
<div>比率指标1- DAU/MAU</div>
|
|
|
|
|
|
<div style="display: flex; align-items: center">
|
|
|
|
|
|
<span>通过用户粘性指标定义为过去一天的比过去30天的</span>
|
|
|
|
|
|
<img
|
|
|
|
|
|
src="@/assets/images/u5627.png"
|
|
|
|
|
|
alt=""
|
|
|
|
|
|
style="margin-left: 10px"
|
|
|
|
|
|
/>
|
|
|
|
|
|
</div>
|
|
|
|
|
|
</div>
|
|
|
|
|
|
<div style="font-size: 14px">
|
|
|
|
|
|
<div>比率指标2 - 月平均活跃天数</div>
|
|
|
|
|
|
<div style="display: flex; align-items: center">
|
|
|
|
|
|
<span
|
|
|
|
|
|
>分子可理解为过去30天用户的总活跃天数,分母为过去30天活跃用户数
|
|
|
|
|
|
,分子/分母 即为 过去30天的人均活跃天数</span
|
|
|
|
|
|
>
|
|
|
|
|
|
<img
|
|
|
|
|
|
src="@/assets/images/u5626.png"
|
|
|
|
|
|
alt=""
|
|
|
|
|
|
style="margin-left: 10px"
|
|
|
|
|
|
/>
|
|
|
|
|
|
</div>
|
|
|
|
|
|
</div>
|
|
|
|
|
|
<div style="margin-top: 10px; display: flex">
|
|
|
|
|
|
<el-table
|
|
|
|
|
|
:data="step4Data"
|
|
|
|
|
|
style="width: 300px"
|
|
|
|
|
|
border
|
|
|
|
|
|
:header-cell-style="{
|
|
|
|
|
|
color: '#fff',
|
|
|
|
|
|
fontSize: '14px',
|
|
|
|
|
|
backgroundColor: '#6A7DE9!important',
|
|
|
|
|
|
}"
|
|
|
|
|
|
>
|
|
|
|
|
|
<el-table-column label="用户ID" align="center" prop="id">
|
|
|
|
|
|
</el-table-column>
|
|
|
|
|
|
<el-table-column label="活跃天数" align="center" prop="data1">
|
|
|
|
|
|
<template #default="scope">
|
|
|
|
|
|
<el-input
|
|
|
|
|
|
v-model="scope.row.params1"
|
|
|
|
|
|
placeholder="请输入"
|
|
|
|
|
|
style="width: 90px"
|
|
|
|
|
|
>
|
|
|
|
|
|
</el-input>
|
|
|
|
|
|
</template>
|
|
|
|
|
|
</el-table-column>
|
|
|
|
|
|
</el-table>
|
|
|
|
|
|
<el-table
|
|
|
|
|
|
:data="step4DataTable2"
|
|
|
|
|
|
style="width: 400px; margin-left: 20px"
|
|
|
|
|
|
border
|
|
|
|
|
|
:header-cell-style="{
|
|
|
|
|
|
color: '#fff',
|
|
|
|
|
|
fontSize: '14px',
|
|
|
|
|
|
backgroundColor: '#6A7DE9!important',
|
|
|
|
|
|
}"
|
|
|
|
|
|
>
|
|
|
|
|
|
<el-table-column label="比率指标" align="center" prop="id">
|
|
|
|
|
|
</el-table-column>
|
|
|
|
|
|
<el-table-column label="数值" align="center" prop="data1">
|
|
|
|
|
|
<template #default="scope">
|
|
|
|
|
|
<el-input
|
|
|
|
|
|
v-model="scope.row.params1"
|
|
|
|
|
|
placeholder="请输入"
|
|
|
|
|
|
style="width: 90px"
|
|
|
|
|
|
>
|
|
|
|
|
|
</el-input>
|
|
|
|
|
|
</template>
|
|
|
|
|
|
</el-table-column>
|
|
|
|
|
|
</el-table>
|
|
|
|
|
|
<div style="width: 650px">
|
|
|
|
|
|
<div class="analysisConclusion">分析结论</div>
|
|
|
|
|
|
<el-input
|
|
|
|
|
|
v-model="analysisConclusion"
|
|
|
|
|
|
style="margin-left: 20px; margin-top: 20px; margin-bottom: 20px"
|
|
|
|
|
|
:rows="8"
|
|
|
|
|
|
type="textarea"
|
|
|
|
|
|
placeholder="请输入"
|
|
|
|
|
|
/>
|
|
|
|
|
|
<div class="submit">提交</div>
|
|
|
|
|
|
</div>
|
|
|
|
|
|
</div>
|
|
|
|
|
|
</div>
|
|
|
|
|
|
<div class="line"></div>
|
|
|
|
|
|
</div>
|
|
|
|
|
|
</div>
|
|
|
|
|
|
</template>
|
|
|
|
|
|
|
|
|
|
|
|
<script setup>
|
|
|
|
|
|
import * as echarts from "echarts";
|
|
|
|
|
|
const { proxy } = getCurrentInstance();
|
|
|
|
|
|
const knowledgeHtml = ref(
|
|
|
|
|
|
`<p style="text-align: left;">复购率分析是评估消费者对某一品牌或产品忠诚度的重要指标,它反映了消费者满意度和重复购买的行为。通过复购率分析,企业可以更好地了解消费者的购买行为和需求,从而制定更精准的营销策略和产品优化方向。</p><p style="text-align: left;">复购率的计算有两种主要方法:</p><p style="text-align: left;">按客户计算:一定时间内再次购买的客户的人数除以购买的总人数。这种方法不考虑客户购买的次数,只关注是否有重复购买行为。</p><p style="text-align: left;">按订单计算:一定时间内再次购买的客户的订单数除以购买的总订单数。这种方法会统计多次购买的客户订单,区分每次购买的订单。</p><p style="text-align: left;">推荐企业采取按客户计算的复购率算法,因为它更能反映消费者的忠诚度。然而,按订单计算的复购率可能会因为多次购买的客户产生的订单数较多而显得更高。</p><p style="text-align: left;">复购率分析的重要性体现在以下几个方面:</p><p style="text-align: left;">反映客户忠诚度:高复购率意味着消费者对产品的认可度高,愿意再次购买,从而反映出较高的客户忠诚度。</p><p style="text-align: left;">预测销售趋势:通过分析复购率的变化趋势,企业可以预测产品的未来表现,做出更明智的选品决策。</p><p style="text-align: left;">指导选品策略:结合其他指标如销售额、转化率等,对复购率进行综合分析,可以帮助企业筛选出具有潜力的爆款产品。</p><p style="text-align: left;">为了进行复购率分析,企业可以采用以下步骤:</p><p style="text-align: left;">1.收集数据:收集包括订单ID、订单日期、客户名称等指标的数据。</p><p style="text-align: left;">2.计算复购率:根据收集的数据计算一个月内每个用户的购买次数、统计一个月内的购买人数、统计每个月内多次购买的人数并计算月复购率。</p><p style="text-align: left;">3.可视化展示:通过可视化图表的形式展示复购率数据,发现数据规律和问题,如复购时间间隔分析、商品复购分析等。</p><p style="text-align: left;">4.结论分析:根据复购率和用户总数的变化趋势,分析用户黏性的健康度,制定相应的运营策略。</p><p style="text-align: left;">通过复购率分析,企业不仅可以评估现有客户的忠诚度和满意度,还可以预测未来的销售趋势,为产品优化和营销策略提供有力支持。</p>`
|
|
|
|
|
|
);
|
|
|
|
|
|
const list = ref(["-"]);
|
|
|
|
|
|
const dayValue = ref("");
|
|
|
|
|
|
const combinationValue1 = ref("");
|
|
|
|
|
|
const combinationValue2 = ref("");
|
|
|
|
|
|
const analysisConclusion = ref("");
|
|
|
|
|
|
const knowledgeFlag = ref(false);
|
|
|
|
|
|
//时间间隔分组数-7天内
|
|
|
|
|
|
const sevenNum = ref(0);
|
|
|
|
|
|
//时间间隔分组数-15天内
|
|
|
|
|
|
const fiftyNum = ref(0);
|
|
|
|
|
|
//时间间隔分组数-30天内
|
|
|
|
|
|
const thirtyNumIn = ref(0);
|
|
|
|
|
|
//时间间隔分组数-30天以上
|
|
|
|
|
|
const thirtyNumOut = ref(0);
|
|
|
|
|
|
const step1Data = ref([
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-01",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-02",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-03",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-04",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-05",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-06",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-07",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-08",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-09",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-10",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-11",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-12",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-13",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-14",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-15",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-16",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-17",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-18",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-19",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-20",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-21",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-22",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-23",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-24",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-25",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-26",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-27",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-28",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-29",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2024-03-30",
|
|
|
|
|
|
},
|
|
|
|
|
|
]);
|
|
|
|
|
|
const fileTable1 = ref([
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2021/8/1",
|
|
|
|
|
|
addNum: "1668",
|
|
|
|
|
|
day2: "1472",
|
|
|
|
|
|
day3: "1214",
|
|
|
|
|
|
day4: "1002",
|
|
|
|
|
|
day5: "901",
|
|
|
|
|
|
day6: "631",
|
|
|
|
|
|
day7: "556",
|
|
|
|
|
|
day8: "417",
|
|
|
|
|
|
day9: "295",
|
|
|
|
|
|
day10: "205",
|
|
|
|
|
|
day11: "172",
|
|
|
|
|
|
day12: "145",
|
|
|
|
|
|
day13: "108",
|
|
|
|
|
|
day14: "68",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2021/8/2",
|
|
|
|
|
|
addNum: "1692",
|
|
|
|
|
|
day2: "1435",
|
|
|
|
|
|
day3: "1165",
|
|
|
|
|
|
day4: "946",
|
|
|
|
|
|
day5: "607",
|
|
|
|
|
|
day6: "534",
|
|
|
|
|
|
day7: "346",
|
|
|
|
|
|
day8: "300",
|
|
|
|
|
|
day9: "214",
|
|
|
|
|
|
day10: "165",
|
|
|
|
|
|
day11: "143",
|
|
|
|
|
|
day12: "126",
|
|
|
|
|
|
day13: "91",
|
|
|
|
|
|
day14: "",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2021/8/3",
|
|
|
|
|
|
addNum: "1669",
|
|
|
|
|
|
day2: "1402",
|
|
|
|
|
|
day3: "1232",
|
|
|
|
|
|
day4: "1083",
|
|
|
|
|
|
day5: "897",
|
|
|
|
|
|
day6: "756",
|
|
|
|
|
|
day7: "518",
|
|
|
|
|
|
day8: "382",
|
|
|
|
|
|
day9: "258",
|
|
|
|
|
|
day10: "199",
|
|
|
|
|
|
day11: "121",
|
|
|
|
|
|
day12: "106",
|
|
|
|
|
|
day13: "",
|
|
|
|
|
|
day14: "",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2021/8/4",
|
|
|
|
|
|
addNum: "1301",
|
|
|
|
|
|
day2: "1077",
|
|
|
|
|
|
day3: "883",
|
|
|
|
|
|
day4: "724",
|
|
|
|
|
|
day5: "651",
|
|
|
|
|
|
day6: "494",
|
|
|
|
|
|
day7: "299",
|
|
|
|
|
|
day8: "230",
|
|
|
|
|
|
day9: "155",
|
|
|
|
|
|
day10: "133",
|
|
|
|
|
|
day11: "91",
|
|
|
|
|
|
day12: "",
|
|
|
|
|
|
day13: "",
|
|
|
|
|
|
day14: "",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2021/8/5",
|
|
|
|
|
|
addNum: "2049",
|
|
|
|
|
|
day2: "1748",
|
|
|
|
|
|
day3: "1515",
|
|
|
|
|
|
day4: "1314",
|
|
|
|
|
|
day5: "1046",
|
|
|
|
|
|
day6: "831",
|
|
|
|
|
|
day7: "658",
|
|
|
|
|
|
day8: "498",
|
|
|
|
|
|
day9: "442",
|
|
|
|
|
|
day10: "189",
|
|
|
|
|
|
day11: "",
|
|
|
|
|
|
day12: "",
|
|
|
|
|
|
day13: "",
|
|
|
|
|
|
day14: "",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2021/8/6",
|
|
|
|
|
|
addNum: "2670",
|
|
|
|
|
|
day2: "2312",
|
|
|
|
|
|
day3: "2039",
|
|
|
|
|
|
day4: "1799",
|
|
|
|
|
|
day5: "1290",
|
|
|
|
|
|
day6: "922",
|
|
|
|
|
|
day7: "828",
|
|
|
|
|
|
day8: "543",
|
|
|
|
|
|
day9: "373",
|
|
|
|
|
|
day10: "",
|
|
|
|
|
|
day11: "",
|
|
|
|
|
|
day12: "",
|
|
|
|
|
|
day13: "",
|
|
|
|
|
|
day14: "",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2021/8/7",
|
|
|
|
|
|
addNum: "1999",
|
|
|
|
|
|
day2: "1765",
|
|
|
|
|
|
day3: "1573",
|
|
|
|
|
|
day4: "1401",
|
|
|
|
|
|
day5: "988",
|
|
|
|
|
|
day6: "783",
|
|
|
|
|
|
day7: "514",
|
|
|
|
|
|
day8: "356",
|
|
|
|
|
|
day9: "",
|
|
|
|
|
|
day10: "",
|
|
|
|
|
|
day11: "",
|
|
|
|
|
|
day12: "",
|
|
|
|
|
|
day13: "",
|
|
|
|
|
|
day14: "",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2021/8/8",
|
|
|
|
|
|
addNum: "2099",
|
|
|
|
|
|
day2: "1874",
|
|
|
|
|
|
day3: "1515",
|
|
|
|
|
|
day4: "1224",
|
|
|
|
|
|
day5: "765",
|
|
|
|
|
|
day6: "578",
|
|
|
|
|
|
day7: "402",
|
|
|
|
|
|
day8: "",
|
|
|
|
|
|
day9: "",
|
|
|
|
|
|
day10: "",
|
|
|
|
|
|
day11: "",
|
|
|
|
|
|
day12: "",
|
|
|
|
|
|
day13: "",
|
|
|
|
|
|
day14: "",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2021/8/9",
|
|
|
|
|
|
addNum: "2509",
|
|
|
|
|
|
day2: "2050",
|
|
|
|
|
|
day3: "1808",
|
|
|
|
|
|
day4: "1595",
|
|
|
|
|
|
day5: "1370",
|
|
|
|
|
|
day6: "752",
|
|
|
|
|
|
day7: "",
|
|
|
|
|
|
day8: "",
|
|
|
|
|
|
day9: "",
|
|
|
|
|
|
day10: "",
|
|
|
|
|
|
day11: "",
|
|
|
|
|
|
day12: "",
|
|
|
|
|
|
day13: "",
|
|
|
|
|
|
day14: "",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2021/8/10",
|
|
|
|
|
|
addNum: "1011",
|
|
|
|
|
|
day2: "839",
|
|
|
|
|
|
day3: "740",
|
|
|
|
|
|
day4: "653",
|
|
|
|
|
|
day5: "410",
|
|
|
|
|
|
day6: "",
|
|
|
|
|
|
day7: "",
|
|
|
|
|
|
day8: "",
|
|
|
|
|
|
day9: "",
|
|
|
|
|
|
day10: "",
|
|
|
|
|
|
day11: "",
|
|
|
|
|
|
day12: "",
|
|
|
|
|
|
day13: "",
|
|
|
|
|
|
day14: "",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2021/8/11",
|
|
|
|
|
|
addNum: "2128",
|
|
|
|
|
|
day2: "1894",
|
|
|
|
|
|
day3: "1566",
|
|
|
|
|
|
day4: "1214",
|
|
|
|
|
|
day5: "",
|
|
|
|
|
|
day6: "",
|
|
|
|
|
|
day7: "",
|
|
|
|
|
|
day8: "",
|
|
|
|
|
|
day9: "",
|
|
|
|
|
|
day10: "",
|
|
|
|
|
|
day11: "",
|
|
|
|
|
|
day12: "",
|
|
|
|
|
|
day13: "",
|
|
|
|
|
|
day14: "",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2021/8/12",
|
|
|
|
|
|
addNum: "1366",
|
|
|
|
|
|
day2: "1145",
|
|
|
|
|
|
day3: "983",
|
|
|
|
|
|
day4: "",
|
|
|
|
|
|
day5: "",
|
|
|
|
|
|
day6: "",
|
|
|
|
|
|
day7: "",
|
|
|
|
|
|
day8: "",
|
|
|
|
|
|
day9: "",
|
|
|
|
|
|
day10: "",
|
|
|
|
|
|
day11: "",
|
|
|
|
|
|
day12: "",
|
|
|
|
|
|
day13: "",
|
|
|
|
|
|
day14: "",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
date: "2021/8/13",
|
|
|
|
|
|
addNum: "2971",
|
|
|
|
|
|
day2: "2335",
|
|
|
|
|
|
day3: "",
|
|
|
|
|
|
day4: "",
|
|
|
|
|
|
day5: "",
|
|
|
|
|
|
day6: "",
|
|
|
|
|
|
day7: "",
|
|
|
|
|
|
day8: "",
|
|
|
|
|
|
day9: "",
|
|
|
|
|
|
day10: "",
|
|
|
|
|
|
day11: "",
|
|
|
|
|
|
day12: "",
|
|
|
|
|
|
day13: "",
|
|
|
|
|
|
day14: "",
|
|
|
|
|
|
},
|
|
|
|
|
|
]);
|
|
|
|
|
|
const step2Data = ref([
|
|
|
|
|
|
{
|
|
|
|
|
|
week: "第一周",
|
|
|
|
|
|
interval: "2024/3/1-2024/3/7",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
week: "第二周",
|
|
|
|
|
|
interval: "2024/3/8-2024/3/14",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
week: "第三周",
|
|
|
|
|
|
interval: "2024/3/15-2024/3/21",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
week: "第四周",
|
|
|
|
|
|
interval: "2024/3/22-2024/3/28",
|
|
|
|
|
|
},
|
|
|
|
|
|
]);
|
|
|
|
|
|
const step3Data = ref([
|
|
|
|
|
|
{
|
|
|
|
|
|
month: "2024年3月",
|
|
|
|
|
|
},
|
|
|
|
|
|
]);
|
|
|
|
|
|
const step4Data = ref([
|
|
|
|
|
|
{
|
|
|
|
|
|
id: "A",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
id: "B",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
id: "C",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
id: "D",
|
|
|
|
|
|
},
|
|
|
|
|
|
|
|
|
|
|
|
{
|
|
|
|
|
|
id: "E",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
id: "F",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
id: "G",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
id: "H",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
id: "J",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
id: "K",
|
|
|
|
|
|
},
|
|
|
|
|
|
]);
|
|
|
|
|
|
const step4DataTable2 = ref([
|
|
|
|
|
|
{
|
|
|
|
|
|
id: "过去30天平均DAU/MAU",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
id: "月平均活跃天数(天)",
|
|
|
|
|
|
},
|
|
|
|
|
|
]);
|
|
|
|
|
|
const step5Data = ref([
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd003",
|
|
|
|
|
|
data2: "B",
|
|
|
|
|
|
data3: "99",
|
|
|
|
|
|
data4: "裤子",
|
|
|
|
|
|
data5: "2024-02-04",
|
|
|
|
|
|
data6: "1",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd007",
|
|
|
|
|
|
data2: "D",
|
|
|
|
|
|
data3: "138",
|
|
|
|
|
|
data4: "裤子",
|
|
|
|
|
|
data5: "2024-02-14",
|
|
|
|
|
|
data6: "2",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd010",
|
|
|
|
|
|
data2: "D",
|
|
|
|
|
|
data3: "150",
|
|
|
|
|
|
data4: "裤子",
|
|
|
|
|
|
data5: "2024-02-16",
|
|
|
|
|
|
data6: "3",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd012",
|
|
|
|
|
|
data2: "D",
|
|
|
|
|
|
data3: "137",
|
|
|
|
|
|
data4: "裤子",
|
|
|
|
|
|
data5: "2024-02-20",
|
|
|
|
|
|
data6: "4",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd017",
|
|
|
|
|
|
data2: "A",
|
|
|
|
|
|
data3: "39",
|
|
|
|
|
|
data4: "睡衣",
|
|
|
|
|
|
data5: "2024-02-24",
|
|
|
|
|
|
data6: "1",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd015",
|
|
|
|
|
|
data2: "C",
|
|
|
|
|
|
data3: "94",
|
|
|
|
|
|
data4: "睡衣",
|
|
|
|
|
|
data5: "2024-02-23",
|
|
|
|
|
|
data6: "2",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd019",
|
|
|
|
|
|
data2: "C",
|
|
|
|
|
|
data3: "186",
|
|
|
|
|
|
data4: "睡衣",
|
|
|
|
|
|
data5: "2024-02-28",
|
|
|
|
|
|
data6: "3",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd008",
|
|
|
|
|
|
data2: "B",
|
|
|
|
|
|
data3: "143",
|
|
|
|
|
|
data4: "外套",
|
|
|
|
|
|
data5: "2024-02-14",
|
|
|
|
|
|
data6: "1",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd011",
|
|
|
|
|
|
data2: "C",
|
|
|
|
|
|
data3: "191",
|
|
|
|
|
|
data4: "外套",
|
|
|
|
|
|
data5: "2024-02-16",
|
|
|
|
|
|
data6: "2",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd018",
|
|
|
|
|
|
data2: "D",
|
|
|
|
|
|
data3: "99",
|
|
|
|
|
|
data4: "外套",
|
|
|
|
|
|
data5: "2024-02-26",
|
|
|
|
|
|
data6: "3",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd005",
|
|
|
|
|
|
data2: "F",
|
|
|
|
|
|
data3: "111",
|
|
|
|
|
|
data4: "外套",
|
|
|
|
|
|
data5: "2024-02-10",
|
|
|
|
|
|
data6: "4",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd001",
|
|
|
|
|
|
data2: "A",
|
|
|
|
|
|
data3: "189",
|
|
|
|
|
|
data4: "衬衫",
|
|
|
|
|
|
data5: "2024-02-02",
|
|
|
|
|
|
data6: "1",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd013",
|
|
|
|
|
|
data2: "B",
|
|
|
|
|
|
data3: "59",
|
|
|
|
|
|
data4: "衬衫",
|
|
|
|
|
|
data5: "2024-02-22",
|
|
|
|
|
|
data6: "2",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd014",
|
|
|
|
|
|
data2: "D",
|
|
|
|
|
|
data3: "173",
|
|
|
|
|
|
data4: "衬衫",
|
|
|
|
|
|
data5: "2024-02-22",
|
|
|
|
|
|
data6: "3",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd002",
|
|
|
|
|
|
data2: "E",
|
|
|
|
|
|
data3: "101",
|
|
|
|
|
|
data4: "短袖",
|
|
|
|
|
|
data5: "2024-02-02",
|
|
|
|
|
|
data6: "1",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd020",
|
|
|
|
|
|
data2: "J",
|
|
|
|
|
|
data3: "52",
|
|
|
|
|
|
data4: "短袖",
|
|
|
|
|
|
data5: "2024-02-28",
|
|
|
|
|
|
data6: "2",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd016",
|
|
|
|
|
|
data2: "K",
|
|
|
|
|
|
data3: "82",
|
|
|
|
|
|
data4: "短袖",
|
|
|
|
|
|
data5: "2024-02-24",
|
|
|
|
|
|
data6: "3",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd009",
|
|
|
|
|
|
data2: "G",
|
|
|
|
|
|
data3: "171",
|
|
|
|
|
|
data4: "帽子",
|
|
|
|
|
|
data5: "2024-02-15",
|
|
|
|
|
|
data6: "1",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd006",
|
|
|
|
|
|
data2: "C",
|
|
|
|
|
|
data3: "141",
|
|
|
|
|
|
data4: "皮鞋",
|
|
|
|
|
|
data5: "2024-02-12",
|
|
|
|
|
|
data6: "1",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "dd004",
|
|
|
|
|
|
data2: "H",
|
|
|
|
|
|
data3: "176",
|
|
|
|
|
|
data4: "内衣",
|
|
|
|
|
|
data5: "2024-02-07",
|
|
|
|
|
|
data6: "1",
|
|
|
|
|
|
},
|
|
|
|
|
|
]);
|
|
|
|
|
|
const step6Data = ref([
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "1",
|
|
|
|
|
|
data2: "小明",
|
|
|
|
|
|
data3: "4",
|
|
|
|
|
|
data4: "2",
|
|
|
|
|
|
data5: "4",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "2",
|
|
|
|
|
|
data2: "小红",
|
|
|
|
|
|
data3: "5",
|
|
|
|
|
|
data4: "2",
|
|
|
|
|
|
data5: "2",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "3",
|
|
|
|
|
|
data2: "小李",
|
|
|
|
|
|
data3: "5",
|
|
|
|
|
|
data4: "1",
|
|
|
|
|
|
data5: "1",
|
|
|
|
|
|
},
|
|
|
|
|
|
]);
|
|
|
|
|
|
const rulesTable = ref([
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "1.重要价值用户",
|
|
|
|
|
|
data2: "高",
|
|
|
|
|
|
data3: "高",
|
|
|
|
|
|
data4: "高",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "2.重要发展用户",
|
|
|
|
|
|
data2: "高",
|
|
|
|
|
|
data3: "低",
|
|
|
|
|
|
data4: "高",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "3.重要保持用户",
|
|
|
|
|
|
data2: "低",
|
|
|
|
|
|
data3: "高",
|
|
|
|
|
|
data4: "高",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "4.重要挽留用户",
|
|
|
|
|
|
data2: "低",
|
|
|
|
|
|
data3: "低",
|
|
|
|
|
|
data4: "高",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "5.一般价值用户",
|
|
|
|
|
|
data2: "高",
|
|
|
|
|
|
data3: "高",
|
|
|
|
|
|
data4: "低",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "6.一般发展用户",
|
|
|
|
|
|
data2: "高",
|
|
|
|
|
|
data3: "低",
|
|
|
|
|
|
data4: "低",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "7.一般保持用户",
|
|
|
|
|
|
data2: "低",
|
|
|
|
|
|
data3: "高",
|
|
|
|
|
|
data4: "低",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "6.一般挽留用户",
|
|
|
|
|
|
data2: "低",
|
|
|
|
|
|
data3: "低",
|
|
|
|
|
|
data4: "低",
|
|
|
|
|
|
},
|
|
|
|
|
|
]);
|
|
|
|
|
|
const typeData = ref([
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "A类商品",
|
|
|
|
|
|
data2: "占总销售额的80%,需要重点关注",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "B类商品",
|
|
|
|
|
|
data2: "占总销售额的10%,给予次要关注",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
data1: "C类商品",
|
|
|
|
|
|
data2: "占总销售额的10%,给予一般关注",
|
|
|
|
|
|
},
|
|
|
|
|
|
]);
|
|
|
|
|
|
const dayOptions = ref([
|
|
|
|
|
|
{
|
|
|
|
|
|
value: "1日",
|
|
|
|
|
|
label: "1日",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
value: "2日",
|
|
|
|
|
|
label: "2日",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
value: "3日",
|
|
|
|
|
|
label: "3日",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
value: "4日",
|
|
|
|
|
|
label: "4日",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
value: "5日",
|
|
|
|
|
|
label: "5日",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
value: "6日",
|
|
|
|
|
|
label: "6日",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
value: "7日",
|
|
|
|
|
|
label: "7日",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
value: "8日",
|
|
|
|
|
|
label: "8日",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
value: "9日",
|
|
|
|
|
|
label: "9日",
|
|
|
|
|
|
},
|
|
|
|
|
|
|
|
|
|
|
|
{
|
|
|
|
|
|
value: "10日",
|
|
|
|
|
|
label: "10日",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
value: "11日",
|
|
|
|
|
|
label: "11日",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
value: "12日",
|
|
|
|
|
|
label: "12日",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
value: "13日",
|
|
|
|
|
|
label: "13日",
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
value: "14日",
|
|
|
|
|
|
label: "14日",
|
|
|
|
|
|
},
|
|
|
|
|
|
]);
|
|
|
|
|
|
const moveUp = (index, row) => {
|
|
|
|
|
|
console.log("上移", index, row);
|
|
|
|
|
|
if (index > 0) {
|
|
|
|
|
|
const upDate = step2Data.value[index - 1];
|
|
|
|
|
|
step2Data.value.splice(index - 1, 1);
|
|
|
|
|
|
step2Data.value.splice(index, 0, upDate);
|
|
|
|
|
|
} else {
|
|
|
|
|
|
alert("已经是第一条,不可上移");
|
|
|
|
|
|
}
|
|
|
|
|
|
};
|
|
|
|
|
|
const moveDown = (index, row) => {
|
|
|
|
|
|
console.log("下移", index, row);
|
|
|
|
|
|
if (index + 1 === step2Data.value.length) {
|
|
|
|
|
|
alert("已经是最后一条,不可下移");
|
|
|
|
|
|
} else {
|
|
|
|
|
|
const downDate = step2Data.value[index + 1];
|
|
|
|
|
|
step2Data.value.splice(index + 1, 1);
|
|
|
|
|
|
step2Data.value.splice(index, 0, downDate);
|
|
|
|
|
|
}
|
|
|
|
|
|
};
|
|
|
|
|
|
const addCombination = () => {
|
|
|
|
|
|
if (list.value[0] == "-") {
|
|
|
|
|
|
list.value = [];
|
|
|
|
|
|
}
|
|
|
|
|
|
// list.value = [];
|
|
|
|
|
|
if (combinationValue1.value == "" || combinationValue2.vlaue == "") {
|
|
|
|
|
|
proxy.$modal.msgError("请选择组合");
|
|
|
|
|
|
return;
|
|
|
|
|
|
}
|
|
|
|
|
|
list.value.push(combinationValue1.value + "—" + combinationValue2.value);
|
|
|
|
|
|
};
|
|
|
|
|
|
const tableSpanMethod = ({ row, column, rowIndex, columnIndex }) => {
|
|
|
|
|
|
if (rowIndex === 0) {
|
|
|
|
|
|
if (columnIndex === 6) {
|
|
|
|
|
|
return [2, 1];
|
|
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
|
|
if (rowIndex === 0) {
|
|
|
|
|
|
if (columnIndex === 7) {
|
|
|
|
|
|
return [2, 1];
|
|
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
|
|
if (rowIndex === 2) {
|
|
|
|
|
|
if (columnIndex === 6) {
|
|
|
|
|
|
return [2, 1];
|
|
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
|
|
if (rowIndex === 2) {
|
|
|
|
|
|
if (columnIndex === 7) {
|
|
|
|
|
|
return [2, 1];
|
|
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
|
|
if (rowIndex === 4) {
|
|
|
|
|
|
if (columnIndex === 6) {
|
|
|
|
|
|
return [2, 1];
|
|
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
|
|
if (rowIndex === 4) {
|
|
|
|
|
|
if (columnIndex === 7) {
|
|
|
|
|
|
return [2, 1];
|
|
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
|
|
if (rowIndex === 6) {
|
|
|
|
|
|
if (columnIndex === 6) {
|
|
|
|
|
|
return [2, 1];
|
|
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
|
|
if (rowIndex === 6) {
|
|
|
|
|
|
if (columnIndex === 7) {
|
|
|
|
|
|
return [2, 1];
|
|
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
|
|
};
|
|
|
|
|
|
const handleChangeDay = (e) => {
|
|
|
|
|
|
console.log(e);
|
|
|
|
|
|
};
|
|
|
|
|
|
const draw = () => {
|
|
|
|
|
|
var chartDom = document.getElementById("echarts");
|
|
|
|
|
|
var myChart = echarts.init(chartDom, "dark");
|
|
|
|
|
|
var option;
|
|
|
|
|
|
|
|
|
|
|
|
option = {
|
|
|
|
|
|
title: {
|
|
|
|
|
|
text: "2021/8/1",
|
|
|
|
|
|
left: "center",
|
|
|
|
|
|
top: "10",
|
|
|
|
|
|
},
|
|
|
|
|
|
tooltip: {
|
|
|
|
|
|
trigger: "axis",
|
|
|
|
|
|
formatter: "{c}%",
|
|
|
|
|
|
},
|
|
|
|
|
|
xAxis: {
|
|
|
|
|
|
type: "category",
|
|
|
|
|
|
data: [
|
|
|
|
|
|
"1",
|
|
|
|
|
|
"2",
|
|
|
|
|
|
"3",
|
|
|
|
|
|
"4",
|
|
|
|
|
|
"5",
|
|
|
|
|
|
"6",
|
|
|
|
|
|
"7",
|
|
|
|
|
|
"8",
|
|
|
|
|
|
"9",
|
|
|
|
|
|
"10",
|
|
|
|
|
|
"11",
|
|
|
|
|
|
"12",
|
|
|
|
|
|
"13",
|
|
|
|
|
|
"14",
|
|
|
|
|
|
],
|
|
|
|
|
|
},
|
|
|
|
|
|
yAxis: {
|
|
|
|
|
|
type: "value",
|
|
|
|
|
|
axisLabel: {
|
|
|
|
|
|
formatter: "{value}%",
|
|
|
|
|
|
},
|
|
|
|
|
|
},
|
|
|
|
|
|
series: [
|
|
|
|
|
|
{
|
|
|
|
|
|
data: [100, 88, 73, 60, 54, 38, 33, 25, 18, 12, 10, 9, 6, 4],
|
|
|
|
|
|
type: "line",
|
|
|
|
|
|
},
|
|
|
|
|
|
],
|
|
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
|
|
option && myChart.setOption(option);
|
|
|
|
|
|
};
|
|
|
|
|
|
const drawEcharts = () => {
|
|
|
|
|
|
for (let i in step1Data.value) {
|
|
|
|
|
|
console.log(step1Data.value[i]);
|
|
|
|
|
|
if (
|
|
|
|
|
|
!step1Data.value[i].params1 ||
|
|
|
|
|
|
!step1Data.value[i].params2 ||
|
|
|
|
|
|
!step1Data.value[i].params3
|
|
|
|
|
|
) {
|
|
|
|
|
|
proxy.$modal.msgError("请完成所有填空数据");
|
|
|
|
|
|
return;
|
|
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
|
|
const xAxisData = [];
|
|
|
|
|
|
const data1 = [];
|
|
|
|
|
|
const data2 = [];
|
|
|
|
|
|
for (let item in step1Data.value) {
|
|
|
|
|
|
// console.log(step1Data.value[item].date);
|
|
|
|
|
|
xAxisData.push(step1Data.value[item].date);
|
|
|
|
|
|
data1.push(step1Data.value[item].params2);
|
|
|
|
|
|
data2.push(step1Data.value[item].params3);
|
|
|
|
|
|
}
|
|
|
|
|
|
var chartDom = document.getElementById("echartsDom");
|
|
|
|
|
|
var myChart = echarts.init(chartDom, "dark");
|
|
|
|
|
|
var option;
|
|
|
|
|
|
|
|
|
|
|
|
option = {
|
|
|
|
|
|
title: {
|
|
|
|
|
|
text: "日活跃分析图",
|
|
|
|
|
|
left: "center",
|
|
|
|
|
|
top: "25",
|
|
|
|
|
|
},
|
|
|
|
|
|
tooltip: {
|
|
|
|
|
|
trigger: "axis",
|
|
|
|
|
|
axisPointer: {
|
|
|
|
|
|
type: "cross",
|
|
|
|
|
|
crossStyle: {
|
|
|
|
|
|
color: "#999",
|
|
|
|
|
|
},
|
|
|
|
|
|
},
|
|
|
|
|
|
},
|
|
|
|
|
|
legend: {
|
|
|
|
|
|
data: ["日活跃平均时长(分钟)", "日活跃率"],
|
|
|
|
|
|
top: 5,
|
|
|
|
|
|
},
|
|
|
|
|
|
xAxis: [
|
|
|
|
|
|
{
|
|
|
|
|
|
type: "category",
|
|
|
|
|
|
data: xAxisData,
|
|
|
|
|
|
// offset:'10',
|
|
|
|
|
|
axisLabel: {
|
|
|
|
|
|
interval: 0,
|
|
|
|
|
|
rotate: 90, //代表逆时针旋转45度
|
|
|
|
|
|
fontSize: "0.6rem",
|
|
|
|
|
|
},
|
|
|
|
|
|
axisPointer: {
|
|
|
|
|
|
type: "shadow",
|
|
|
|
|
|
},
|
|
|
|
|
|
},
|
|
|
|
|
|
],
|
|
|
|
|
|
yAxis: [
|
|
|
|
|
|
{
|
|
|
|
|
|
type: "value",
|
|
|
|
|
|
name: "日活跃平均时长",
|
|
|
|
|
|
min: 0,
|
|
|
|
|
|
// max: 250,
|
|
|
|
|
|
interval: 10,
|
|
|
|
|
|
axisLabel: {
|
|
|
|
|
|
formatter: "{value}",
|
|
|
|
|
|
},
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
type: "value",
|
|
|
|
|
|
name: "日活跃率",
|
|
|
|
|
|
min: 0,
|
|
|
|
|
|
max: 100,
|
|
|
|
|
|
interval: 10,
|
|
|
|
|
|
axisLabel: {
|
|
|
|
|
|
formatter: "{value}%",
|
|
|
|
|
|
},
|
|
|
|
|
|
},
|
|
|
|
|
|
],
|
|
|
|
|
|
series: [
|
|
|
|
|
|
{
|
|
|
|
|
|
name: "日活跃平均时长(分钟)",
|
|
|
|
|
|
type: "bar",
|
|
|
|
|
|
itemStyle: {
|
|
|
|
|
|
color: "#F4DAA6",
|
|
|
|
|
|
},
|
|
|
|
|
|
tooltip: {
|
|
|
|
|
|
valueFormatter: function (value) {
|
|
|
|
|
|
return value + "分钟";
|
|
|
|
|
|
},
|
|
|
|
|
|
},
|
|
|
|
|
|
data: data2,
|
|
|
|
|
|
},
|
|
|
|
|
|
{
|
|
|
|
|
|
name: "日活跃率",
|
|
|
|
|
|
type: "line",
|
|
|
|
|
|
itemStyle: {
|
|
|
|
|
|
color: "#D052E5",
|
|
|
|
|
|
},
|
|
|
|
|
|
yAxisIndex: 1,
|
|
|
|
|
|
tooltip: {
|
|
|
|
|
|
valueFormatter: function (value) {
|
|
|
|
|
|
return value + "%";
|
|
|
|
|
|
},
|
|
|
|
|
|
},
|
|
|
|
|
|
data: data1,
|
|
|
|
|
|
},
|
|
|
|
|
|
],
|
|
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
|
|
option && myChart.setOption(option);
|
|
|
|
|
|
};
|
|
|
|
|
|
</script>
|
|
|
|
|
|
|
|
|
|
|
|
<style scoped lang="scss">
|
|
|
|
|
|
.content {
|
|
|
|
|
|
width: 100%;
|
|
|
|
|
|
background: rgba(0, 29, 64, 0.5);
|
|
|
|
|
|
border: 1px solid #0452c6;
|
|
|
|
|
|
padding: 10px;
|
|
|
|
|
|
// opacity: 0.5;
|
|
|
|
|
|
a:hover {
|
|
|
|
|
|
text-decoration: underline;
|
|
|
|
|
|
}
|
|
|
|
|
|
.import {
|
|
|
|
|
|
display: flex;
|
|
|
|
|
|
font-size: 15px;
|
|
|
|
|
|
font-weight: bold;
|
|
|
|
|
|
width: 180px;
|
|
|
|
|
|
height: 56px;
|
|
|
|
|
|
background-image: url("@/assets/images/01.png");
|
|
|
|
|
|
background-size: 180px 56px;
|
|
|
|
|
|
text-align: center;
|
|
|
|
|
|
align-items: center;
|
|
|
|
|
|
line-height: 56px;
|
|
|
|
|
|
cursor: pointer;
|
|
|
|
|
|
img {
|
|
|
|
|
|
margin-left: 20px;
|
|
|
|
|
|
margin-right: 15px;
|
|
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
|
|
.caseBack {
|
|
|
|
|
|
.title {
|
|
|
|
|
|
font-weight: bold;
|
|
|
|
|
|
margin-top: 10px;
|
|
|
|
|
|
display: flex;
|
|
|
|
|
|
align-items: center;
|
|
|
|
|
|
span {
|
|
|
|
|
|
margin-left: 10px;
|
|
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
|
|
.download {
|
|
|
|
|
|
cursor: pointer;
|
|
|
|
|
|
margin-left: 20px;
|
|
|
|
|
|
color: #000;
|
|
|
|
|
|
padding-left: 10px;
|
|
|
|
|
|
font-size: 14px;
|
|
|
|
|
|
text-align: center;
|
|
|
|
|
|
line-height: 31px;
|
|
|
|
|
|
width: 89px;
|
|
|
|
|
|
height: 31px;
|
|
|
|
|
|
background: url("@/assets/images/downloadIcon.png");
|
|
|
|
|
|
}
|
|
|
|
|
|
.submit {
|
|
|
|
|
|
cursor: pointer;
|
|
|
|
|
|
margin-left: 20px;
|
|
|
|
|
|
color: #000;
|
|
|
|
|
|
padding-left: 10px;
|
|
|
|
|
|
font-size: 14px;
|
|
|
|
|
|
text-align: center;
|
|
|
|
|
|
line-height: 31px;
|
|
|
|
|
|
width: 99px;
|
|
|
|
|
|
height: 31px;
|
|
|
|
|
|
background: url("@/assets/images/提交任务.png");
|
|
|
|
|
|
}
|
|
|
|
|
|
.customerType {
|
|
|
|
|
|
padding-left: 10px;
|
|
|
|
|
|
display: flex;
|
|
|
|
|
|
align-items: center;
|
|
|
|
|
|
width: 945px;
|
|
|
|
|
|
height: 26px;
|
|
|
|
|
|
background: #003b75;
|
|
|
|
|
|
border-radius: 10px;
|
|
|
|
|
|
border: 1px solid #0052a3;
|
|
|
|
|
|
font-size: 12px;
|
|
|
|
|
|
margin-top: 10px;
|
|
|
|
|
|
img {
|
|
|
|
|
|
margin-right: 10px;
|
|
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
|
|
.secondTitle {
|
|
|
|
|
|
margin-top: 10px;
|
|
|
|
|
|
display: flex;
|
|
|
|
|
|
align-items: center;
|
|
|
|
|
|
img {
|
|
|
|
|
|
margin-right: 10px;
|
|
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
|
|
.line {
|
|
|
|
|
|
width: 1400px;
|
|
|
|
|
|
height: 1px;
|
|
|
|
|
|
border: 1px solid #0452c6;
|
|
|
|
|
|
opacity: 0.5;
|
|
|
|
|
|
margin-top: 20px;
|
|
|
|
|
|
margin-bottom: 20px;
|
|
|
|
|
|
}
|
|
|
|
|
|
.addBtn {
|
|
|
|
|
|
background-color: #6af5fb;
|
|
|
|
|
|
color: #080138;
|
|
|
|
|
|
height: 31px;
|
|
|
|
|
|
border: 1px solid #6af5fb;
|
|
|
|
|
|
margin-left: 10px;
|
|
|
|
|
|
}
|
|
|
|
|
|
.comList {
|
|
|
|
|
|
ul {
|
|
|
|
|
|
text-align: center;
|
|
|
|
|
|
list-style-type: none;
|
|
|
|
|
|
border: 1px solid #7190d4;
|
|
|
|
|
|
border-bottom: none;
|
|
|
|
|
|
width: 124px;
|
|
|
|
|
|
padding: 0;
|
|
|
|
|
|
// padding: 0;
|
|
|
|
|
|
margin: 0;
|
|
|
|
|
|
p {
|
|
|
|
|
|
width: 122px;
|
|
|
|
|
|
height: 40px;
|
|
|
|
|
|
line-height: 40px;
|
|
|
|
|
|
background: #6e70f0;
|
|
|
|
|
|
margin: 0;
|
|
|
|
|
|
}
|
|
|
|
|
|
li {
|
|
|
|
|
|
padding: 0;
|
|
|
|
|
|
margin: 0;
|
|
|
|
|
|
line-height: 30px;
|
|
|
|
|
|
width: 122px;
|
|
|
|
|
|
height: 30px;
|
|
|
|
|
|
background: #003b75;
|
|
|
|
|
|
border-bottom: 1px solid #7190d4;
|
|
|
|
|
|
font-size: 14px;
|
|
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
|
|
.draw {
|
|
|
|
|
|
width: 89px;
|
|
|
|
|
|
height: 31px;
|
|
|
|
|
|
background: url("@/assets/images/绘制.png");
|
|
|
|
|
|
text-align: center;
|
|
|
|
|
|
line-height: 31px;
|
|
|
|
|
|
color: #000;
|
|
|
|
|
|
font-size: 14px;
|
|
|
|
|
|
cursor: pointer;
|
|
|
|
|
|
}
|
|
|
|
|
|
.analysis {
|
|
|
|
|
|
width: 577px;
|
|
|
|
|
|
height: 117px;
|
|
|
|
|
|
background: #005b55;
|
|
|
|
|
|
border-radius: 10px;
|
|
|
|
|
|
margin-top: 20px;
|
|
|
|
|
|
font-size: 14px;
|
|
|
|
|
|
padding-left: 20px;
|
|
|
|
|
|
padding-top: 12px;
|
|
|
|
|
|
.conclusion {
|
|
|
|
|
|
// display: block;
|
|
|
|
|
|
|
|
|
|
|
|
margin-bottom: 10px;
|
|
|
|
|
|
font-size: 16px;
|
|
|
|
|
|
}
|
|
|
|
|
|
}
|
|
|
|
|
|
.generateBtn {
|
|
|
|
|
|
width: 185px;
|
|
|
|
|
|
height: 31px;
|
|
|
|
|
|
background: url("@/assets/images/生成统计.png");
|
|
|
|
|
|
text-align: center;
|
|
|
|
|
|
line-height: 31px;
|
|
|
|
|
|
color: #000;
|
|
|
|
|
|
font-size: 14px;
|
|
|
|
|
|
cursor: pointer;
|
|
|
|
|
|
}
|
|
|
|
|
|
.analysisConclusion {
|
|
|
|
|
|
background: url("@/assets/images/分析.png");
|
|
|
|
|
|
width: 89px;
|
|
|
|
|
|
height: 31px;
|
|
|
|
|
|
text-align: center;
|
|
|
|
|
|
line-height: 31px;
|
|
|
|
|
|
color: #000;
|
|
|
|
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font-size: 14px;
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// cursor: pointer;
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margin-left: 20px;
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padding-left: 10px;
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}
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}
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::v-deep .el-table tr {
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background-color: #002652 !important;
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color: #fff;
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}
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::v-deep .el-textarea__inner {
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background: #002652;
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color: #fff;
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// color: #5397C3;
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}
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</style>
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