php怎样确保统计的数据准确【php问题】,php

本文实例报告了PHP完成的统计数据功用。分享给人人供人人参考，细致以下：

统计，就是把基础的数据，整合起来。

用到sql的，有group by 功用，count功用，order by功用等等。

sql将网络的数据，举行统计分析。

平常情况下，sql处置惩罚后获得的数据，还要经由过程php的逻辑来举行整顿。

以肯定的花样，展现到前台。（引荐进修：PHP编程从入门到通晓）

平常都是以数组的体式格局展现，这也是数据构造的观点。

看这张图片，基础想一想构造也许为

{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)}}

假如用php展现成上面的构造的话，就很优点置惩罚了。

起首经由过程sql猎取首次处置惩罚的数据，

别小看这首次处置惩罚的数据，处置惩罚的好，会异常的便利。

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思绪，归类定单表，以user来举行归类。

猎取每个人，当天的定单提交总数count()。

还要猎取每个人，定单经由过程考核的总数，经由过程where挑选。

然后关联查询其他相干数据。

有了这些基础数据，其他的相干数据都能出来了。

经由过程php来处置惩罚猎取，个中变量定名要清楚，如许也有利于浏览代码。

$select_sql = "SELECT a.user,count(order_id) as subcount,b.passcount,c.full_name from vicidial_order a LEFT 
JOIN (SELECT user,count(order_id) as passcount from vicidial_order where time > UNIX_TIMESTAMP('".$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 猎取键值数据   mysqli_fetch_field 猎取一条数据 mysqli_fetch_fields 猎取多组数据  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);
}

以上就是php怎样确保统计的数据准确的细致内容，更多请关注ki4网别的相干文章！