Data analysis method, computing device, and storage medium

A computing device, comprising at least one processor, a memory, and a communicator;

• wherein
• the at least one processer is connected to the memory and the communicator;
• the memory is configured for storing instructions executable by the at least one processor;
• the communicator is controlled by the at least one processer for communication;
• the instructions cause the at least one processers to execute following steps:
• acquiring a plurality of sample data groups, each of the plurality of sample data groups comprising dyeing result data and processing parameter data of multiple processing parameters, wherein the dyeing result data indicates dyeing results of anodized dyeing products and the processing parameter data indicates an anodizing and dyeing process performed on products to be anodized and dyed;
• determining a contribution value of the processing parameter data of each processing parameter to the dyeing result data in each of the plurality of sample data groups;
• determining at least one target processing parameter affecting the dyeing results by analyzing the contribution values of the processing parameter data;
• determining a correlation graph of the at least one target processing parameter relative to the dyeing result data according to the target processing parameter and the plurality of sample data groups;
• and
• adjusting the value of the target processing parameter according to the correlation graph, and perform the anodizing and dyeing process on the products to be anodized and dyed using the adjusted parameters.

A non-transitory computer readable storage medium that stores instructions executable by one or more processors to perform a data analysis method, comprising:

• acquiring a plurality of sample data groups, each of the plurality of sample data groups comprising dyeing result data and processing parameter data of multiple processing parameters, wherein the dyeing result data indicates dyeing results of anodized dyeing products and the processing parameter data indicates an anodizing and dyeing process performed on products to be anodized and dyed;
• determining a contribution value of the processing parameter data of each processing parameter to the dyeing result data in each of the plurality of sample data groups;
• determining at least one target processing parameter affecting the dyeing results by analyzing the contribution values of the processing parameter data;
• determining a correlation graph of the at least one target processing parameter relative to the dyeing result data according to the target processing parameter and the plurality of sample data groups;
• and
• adjusting the value of the target processing parameter according to the correlation graph, and performing the anodizing and dyeing process on the products to be anodized and dyed using the adjusted parameters.