根据教材中的user表和card表进行多表查询

完成以下功能:

1. 查询【李峰】的银行卡信息
2. 查询银行卡号是【001】的客户信息
3. 查询存款大于10000元的客户姓名和身份证号码
4. 查询信用积分大于400分的客户姓名和银行存款总额
5. 查询每个城市的银行存款总额，按存款金额降序排列
6. 查询在2019年1月1日至2019年3月1日期间，办理新银行卡的客户信息
7. 查询银行存款大于等于20000元的北京客户信息
8. 统计男客户、女客户的平均存款金额
9. 统计每个城市银行卡的数量，要求不包括被冻结的银行卡
10. 查询每个客户的存款总额
11. 查询人均存款大于20000的城市名称

select card.*from card,user where name='李峰'and `user`.userId=card.userId;

select user.* from card,user where cardNo='001'and card.userId=`user`.userId

select `user`.`name`,`user`.personId from card,user where money>10000 and card.userId=`user`.userId;

select `user`.`name`,card.money from card,user where credit>400 and card.userId=`user`.userId;

select city,sum(money) c from card,user where  card.userId=`user`.userId GROUP BY city ORDER BY c ;

select user.* from card,user where openDate BETWEEN '2019-01-01' and '2019-03-01' and `user`.userId=card.userId;

select user.*  from card,user where city='北京'and money>20000 and `user`.userId=card.userId;

select  user.sex,AVG(money) from card,user  GROUP BY user.sex

select city,count(cardNo) from card,user where card.isLock='0' and `user`.userId=card.userId GROUP BY city  ;

select `user`.`name`,sum(money) from card,user  where `user`.userId=card.userId GROUP BY `user`.`name`;

select city from card,user where `user`.userId=card.userId GROUP BY city HAVING AVG(money)>10000;