There are four columns in the table book (to be divided). The table book is divided into six tables (BKN, cm, Ji, JM, ZM, ZF) according to conditions. The original data in Tables 1 to 6 are retained.
After splitting up:
Try to make the total of corresponding columns of each table approximately equal (such as the total of column B in BKN and column B in cm).
If the average cannot be achieved, then:
1. It is required that the difference between the sum of columns B in each table is less than 10000, the difference between the sum of columns C is less than 30000, and the difference between the sum of columns D is less than 1000.
2. In column B of each table, the number difference of more than 1 million data segments is less than 3, the number difference of more than 500000 to 1 million is less than 10, the number difference of more than 100000 to 500000 is less than 20, the number difference of more than 50000 to 100000 is less than 20, the range difference of less than 50000 is less than 30, and the total number difference of each table is less than 20.
In short, try to distribute the tables equally.
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hi i am an data analyst with experience in machine learning and deep learning. i can do this in a day or so .feel free to contact me. the budget and the deadline details can be negotiated as per you requirements.