is an example of a PHP+MySQL implementation that optimizes data statistics for a period of time. Share for you for your reference, the following:

in the Internet project, the data analysis of the project is essential. The marketing strategy is usually adjusted in a certain period of time. Here are the following cases. The


usually has an order form in an e-commerce platform and records all order information. Now we need to count the number of orders and the sales amount data of a month to draw the following statistics and analyze the data.

order list data structure is as follows:

border-box; border-bottom: RGB (221221221) 1px solid; text-align: left; border-left: RGB (221221221 1px solid; padding-bottom: 8px); line-height: 22px; background-color: RGB (239243245); padding-left: 8px; padding-right: 8px; word-wrap: break-word; color: RGB (79,79,79); font-size: 14px; vertical-align: middle; word-break: normal; border-top: RGB (221221221) 1px solid; font-weight: 700; border-right: RGB 1px solid Padd (221221221); Ing-top: 8px ">order_id style=; border-right-width: 0px; background-color: RGB (255255255); border-bottom-width: 0px; border-top: RGB (221221221) 1px solid; border-left-width: 0px; border-image: initial style= box-sizing: >

order_sn total_price enterdate
25396 A4E610E250C2D378D7EC94179E14617F 2306.00 25397 EAD217C0533455EECDDE39659ABCDAE9 17.90 25398 032E6941DAD44F29651B53C41F6B48A0 163.03

first method most likely to think, first using the PHP function cal_days_in_month () to obtain the number of days of the month, and then construct a month all day every day of the array, and then query the total number of cycles, the new array structure. The

code is as follows:

 $month ='04'; $year ='2017'; $max_day = cal_days_in_month (C)

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