Question

为了帮助重新定位营销广告系列，我们需要创建用户人口统计报告

我想从给定数组中找到以下内容请帮助我

1）所有男性和女性用户的平均年龄

2）每个国家的男性和女性用户的平均年龄

3）由于我们不针对儿童，因此不应包括16岁以下的用户

4）基于性别的平均活动得分

5）按年龄组16-20，20 +总和活动得分

6）活动得分最高和最低的国家

输入和输出数组如下。请使用正确的值更新输出数组

$users = [
['id' => 1, 'gender' => 'M', 'dob' => 1990, 'country' => 'IN', 'activity_score' => 34],
['id' => 2, 'gender' => 'M', 'dob' => 1980, 'country' => 'US', 'activity_score' => 9],
['id' => 3, 'gender' => 'F', 'dob' => 1993, 'country' => 'UK', 'activity_score' => 45],
['id' => 4, 'gender' => 'M', 'dob' => 1998, 'country' => 'IN', 'activity_score' => 0],
['id' => 5, 'gender' => 'F', 'dob' => 1997, 'country' => 'IN', 'activity_score' => 234],
['id' => 6, 'gender' => 'M', 'dob' => 1991, 'country' => 'UK', 'activity_score' => -6],
['id' => 7, 'gender' => 'F', 'dob' => 1992, 'country' => 'JP', 'activity_score' => 9],
['id' => 8, 'gender' => 'M', 'dob' => 1998, 'country' => 'US', 'activity_score' => 45],
['id' => 9, 'gender' => 'F', 'dob' => 2000, 'country' => 'JP', 'activity_score' => 5],
['id' => 10, 'gender' => 'M', 'dob' => 2006, 'country' => 'IN', 'activity_score' => 7],
['id' => 11, 'gender' => 'F', 'dob' => 1970, 'country' => 'US', 'activity_score' => 32],
['id' => 12, 'gender' => 'M', 'dob' => 2011, 'country' => 'IN', 'activity_score' => 21],
];

$output = [
'avg_age' => ['M' => 0,'F' => 0],
'avg_age_by_country' => [
'IN' => ['M' => 0,'F' => 0],
'US' => ['M' => 0,'F' => 0],
'UK' => ['M' => 0,'F' => 0],
'JP' => ['M' => 0,'F' => 0],
],
'activity_score' => [
'avg_score_by_gender' => ['M' => 0,'F' => 0],
'sum_score_by_age_group' => ['16-20' => 0, '20+' => 0],
'country' => ['first' => '', 'last' => '']
]
];

我试过这个

foreach($users as $user) {
    if($user['gender'=='M']) {
        $avg['M']=$user;
    }
    else if($user['gender'=='F']) {
        $avg['M']=$user;
    }
}

print_r($avg);

我试过这个请帮我解决这个问题

Answer 1

要计算平均值，您必须更新输出数组，以包含一些重要数据，如用户数M，F 总年龄M，f 总分M，F 和每个国家的用户数和总年龄然后你可以用总数除以数来计算平均值男性平均年龄=男性总年龄/男性人数

这是此问题的工作代码

<?
$output = array(
'number_of_users' => array('M' => 0,'F' => 0),//New array to hold number of users
'total_users_age' => array('M' => 0,'F' => 0),//New array to hold Total Ages
'total_users_score' => array('M' => 0,'F' => 0),//new array to hold total users score
'avg_age' => array('M' => 0,'F' => 0),
//update each country array to add 
//NM - number of males
//NF - number of females
//AM - Total males age
//AF - Total females age
'avg_age_by_country' => array(
'IN' => array('M' => 0,'F' => 0,'NM' => 0,'NF' => 0,'AM' => 0,'AF' => 0),
'US' => array('M' => 0,'F' => 0,'NM' => 0,'NF' => 0,'AM' => 0,'AF' => 0),
'UK' => array('M' => 0,'F' => 0,'NM' => 0,'NF' => 0,'AM' => 0,'AF' => 0),
'JP' => array('M' => 0,'F' => 0,'NM' => 0,'NF' => 0,'AM' => 0,'AF' => 0),
),
'activity_score' => array(
'avg_score_by_gender' => array('M' => 0,'F' => 0),
'sum_score_by_age_group' => array('16-20' => 0, '20+' => 0),
'country' => array('first' => '', 'last' => '')
)
);


$max = 0;//variable to detect the highest county score
$min = "notSet";//variable to detect the lowest county score
foreach($users as $user){
$output['number_of_users'][$user['gender']]++;//increase number of users based on user gender
$output['total_users_age'][$user['gender']] = ($output['total_users_age'][$user['gender']] + (date(Y) - $user['dob']));//add user age to total ages based on his gender
$output['total_users_score'][$user['gender']] = ($output['total_users_score'][$user['gender']] + (date(Y) - $user['activity_score']));//add user score to total score based on his gender
$output['avg_age_by_country'][$user['country']]['N'.$user['gender']]++;//increase number of users based on user gender and country
$output['avg_age_by_country'][$user['country']]['A'.$user['gender']] = ($output['avg_age_by_country'][$user['country']]['A'.$user['gender']] + (date(Y) - $user['dob']));//add user age to total ages based on his gender and country
//detect user age group and add up user score
if((date(Y) - $user['dob']) >= 16 && (date(Y) - $user['dob']) <= 20){
$output['activity_score']['sum_score_by_age_group']['16-20'] = ($output['activity_score']['sum_score_by_age_group']['16-20'] + $user['activity_score']);
}elseif((date(Y) - $user['dob']) > 20){
$output['activity_score']['sum_score_by_age_group']['20+'] = ($output['activity_score']['sum_score_by_age_group']['16-20'] + $user['activity_score']);
}
//detect max country
if($user['activity_score'] > $max){
$output['activity_score']['country']['first'] = $user['country'];
$max = $user['activity_score'];
}
//detect min country 
//notSet mean this is the first user
if($user['activity_score'] < $min || $min == "notSet"){
$output['activity_score']['country']['last'] = $user['country'];
$min = $user['activity_score'];
}
}
/******* calculating averages******/
$output['avg_age']['M'] = $output['total_users_age']['M'] / $output['number_of_users']['M'];
$output['avg_age']['F'] = $output['total_users_age']['F'] / $output['number_of_users']['F'];
$output['activity_score']['avg_score_by_gender']['M'] = $output['total_users_score']['M'] / $output['number_of_users']['M'];
$output['activity_score']['avg_score_by_gender']['F'] = $output['total_users_score']['F'] / $output['number_of_users']['F'];
/******* calculating averages for each country******/
foreach($output['avg_age_by_country'] as $key => $country ){
$output['avg_age_by_country'][$key]['M'] = $country['AM'] / $country['NM'];
$output['avg_age_by_country'][$key]['F'] = $country['AF'] / $country['NF'];
}

echo '<pre>';
print_r($output);
echo '</pre>';
?>

希望这很好用祝你好运

Answer 2

例如，您可以通过手动迭代手动将用户分为男性和女性，然后在“dob”列上应用array_sum / count ...

// Sort $users into $male or $female
$male = array();
$female = array();
foreach( $users as $user )
{
  if( $user['gender'] == 'M' )
  {
    $male[] = $user;
  }
  elseif( $user['gender'] == 'F' )
  {
    $female[] = $user;
  }
}

// Average DOB value
vardump( array_sum( array_column( $male, 'dob' ) ) / count( $male ) );
vardump( array_sum( array_column( $female, 'dob' ) ) / count( $female ) );

由您来构建排序/过滤逻辑，这是一个简单的例子。

php中数组的平均值和总和

2 个答案: