统计，就是把基本的数据，整合起来。
用到sql的，有group by 功能，count功能，order by功能等等。
sql将收集的数据，进行统计分析。
一般情况下，sql处理后得到的数据，还要通过php的逻辑来进行整理。
以一定的格式，展示到前台。
一般都是以数组的方式展示，这也是数据结构的概念。
看这张图片，基本想想结构大概为
{上线数，出单总数，核过总数，总人均，总核率，{(坐席人1，工号1，出单数1，发货数1，核单率1),(坐席人2，工号2，出单数2，发货数2，核单率2)}}
如果用php展示成上面的结构的话，就很好处理了。
首先通过sql获取初次处理的数据，
别小看这初次处理的数据，处理的好，会非常的便捷。
复制代码 代码如下:
SELECT a.user,count(order_id) as subcount,b.passcount,c.full_name from vicidial_order a LEFT JOIN (SELECT user,count(order_id) as passcount from vicidial_order where time > UNIX_TIMESTAMP('2015-11-7') and user_group = 'TeamOne' and verifysta = 'Y' GROUP BY user ) b on a.user = b.user LEFT JOIN vicidial_users c on a.user = c.user where time > UNIX_TIMESTAMP('2015-11-7') and a.user_group = 'TeamOne' GROUP BY a.user ;
sql思路，归类订单表，以user来进行归类。
获取每个人，当天的订单提交总数count()。
还要获取每个人，订单通过审核的总数，通过where筛选。
然后关联查询其他相关数据。
有了这些基本数据，其他的相关数据都能出来了。
通过php来处理获取，其中变量命名要清晰，这样也有利于阅读代码。
$select_sql = "SELECT a.user,count(order_id) as subcount,b.passcount,c.full_name from vicidial_order a LEFT JOIN (SELECT user,count(order_id) as passcount from vicidial_order where time > UNIX_TIMESTAMP('".$today."') and user_group = '".$user_group."' and verifysta = 'Y' GROUP BY user ) b on a.user = b.user LEFT JOIN vicidial_users c on a.user = c.user where time > UNIX_TIMESTAMP('".$today."') and a.user_group = '".$user_group."' GROUP BY a.user "; $rows = mysqli_query( $db_conn, $select_sql ); $row_counts_list = mysqli_num_rows( $rows ); if ( $row_counts_list != 0 ) { $i = 0; while($rs = mysqli_fetch_assoc( $rows )) // mysqli_fetch_assoc 获取键值数据 mysqli_fetch_field 获取一条数据 mysqli_fetch_fields 获取多组数据 mysqli_fetch_row { $outData['list'][$i]['user'] = $rs['user']; $outData['list'][$i]['full_name'] = $rs['full_name']; $outData['list'][$i]['subcount'] = $rs['subcount']; $outData['list'][$i]['passcount'] = $rs['passcount']; $outData['list'][$i]['passrate'] = round(($rs['passcount']/$rs['subcount'])*100)."%"; $outData['all_subcount'] += $rs['subcount']; $outData['all_passcount'] += $rs['passcount']; $i++; } $outData['all_passrate'] = round(($outData['all_passcount']/$outData['all_subcount'])*100)."%"; $outData['online_count'] = $row_counts_list; $outData['average_subcount'] = round($outData['all_subcount']/$outData['online_count'],1); }
其中outData就是要输出的数据结构类型。
Array ( [list] => Array ( [0] => Array ( [user] => 8001 [full_name] => 魏硕磊 [subcount] => 3 [passcount] => 2 [passrate] => 67% ) [1] => Array ( [user] => 8004 [full_name] => 刘庆 [subcount] => 2 [passcount] => 2 [passrate] => 100% ) [2] => Array ( [user] => 8005 [full_name] => 章厚英 [subcount] => 4 [passcount] => 3 [passrate] => 75% ) ) [all_subcount] => 9 [all_passcount] => 7 [all_passrate] => 78% [online_count] => 3 [average_subcount] => 3 )
获取数据后，一切都好办了。
套入页面就可以了，然后自己再调试调试。
<!-- begin --> <?php foreach ($outData as $k => $v) { ?> <div> <div> <div> <h5> <i></i> 【<?php echo $v['group_name'];?>】成绩表 </h5> </div> <div> <div> <table> </table> <table> <thead> <tr> <td colspan="2">上线总人数：</td> <td colspan="3"><?php echo $v['stat']['online_count']?></td> </tr> <tr> <td colspan="2">出单总数：</td> <td><?php echo $v['stat']['all_subcount']?></td> <td >核过总数</td> <td><?php echo $v['stat']['all_passcount']?></td> </tr> <tr> <td colspan="2">总人均：</td> <td><?php echo $v['stat']['average_subcount']?></td> <td >总核率</td> <td><?php echo $v['stat']['all_passrate']?></td> </tr> </thead> <thead> <tr> <th> <i></i> 坐席人 </th> <th> <i></i> 工号 </th> <th> <i></i> 出单数 </th> <th> <i></i> 发货数 </th> <th> <i></i> 核单率 </th> </tr> </thead> <tbody> <?php foreach ($v['stat']['list'] as $listk => $listv) { ?> <tr> <td><?php echo $listv['full_name']?></td> <td> <a href="#"><?php echo $listv['user']?></a> </td> <td> <a href="#"><?php echo $listv['subcount']?></a> </td> <td><?php echo $listv['passcount']?></td> <td><?php echo $listv['passrate']?></td> </tr> <?php }?> <tr> <tdcolspan="2">总计</td> <td><?php echo $v['stat']['all_subcount']?></td> <td><?php echo $v['stat']['all_passcount']?></td> <td><?php echo $v['stat']['all_passrate']?></td> </tr> </tbody> </table> </div> </div> </div> </div> <?php }?> <!-- end -->