Method and device for determining relevancy of fields in database table
A correlation, database technology, applied in the computer field, can solve the problems of inability to quickly and accurately identify field types, inability to meet, lack of correlation analysis of database table fields, etc., to achieve the effect of visual output
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Embodiment 1
[0035] figure 1 is a schematic diagram of the main steps of the method for determining the field correlation in the database table according to the embodiment of the present invention. Such as figure 1 As shown, the method for determining the field correlation degree in the database table in the embodiment of the present invention can be specifically executed according to the following steps:
[0036] Step S101: For any two fields to be analyzed in the database table, determine the field type to which the field belongs according to the elements of each field.
[0037] In this step, the two fields to be analyzed may be fields of the same database table, or any fields in multiple database tables that can be associated with each other. For example, if the employee performance appraisal table and the employee basic information table can be related through the common employee name field, then correlation analysis can be performed on any two fields in the two database tables. In the
Embodiment 2
[0082] Figure 4 It is a schematic diagram of the specific execution of the method for determining the field correlation degree in the database table in the embodiment of the present invention. Such as Figure 4 As shown, the method for determining field correlation in a database table in the embodiment of the present invention may include three parts: preprocessing, correlation analysis, and result input.
[0083] In the preprocessing part, data cleaning needs to be performed on the database tables first. For example, if the database table is not in csv (Comma-Separated Values, comma-separated values) format, you need to split the header row and each row of records; unify the format of the elements in each field, and remove redundant spaces and punctuation , garbled characters, etc., unify invalid values such as NULL, None, etc., and missing values into empty characters. After that, the field type of the field to be analyzed can be determined according to the method in th
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