Redundant data discrimination method based on inverse matrix

The invention discloses a redundant data discrimination method based on an inverse matrix, which comprises the following steps of: performing numeralization on a data object needing to be analyzed, converting the data object into a matrix form, inverting the matrix, judging whether the inverse matrix can be solved or not, and finally judging whether the data object has redundant information or not according to whether the inverse matrix exists or not. When the inverse matrix does not exist, the data object does not have redundant information and does not need to be processed; and when the inverse matrix exists, it is indicated that the data object has redundant information, redundant information elimination processing needs to be carried out, and preparation is made for the next step of data governance. Compared with a traditional abnormal data discrimination method, the method has the advantages that the data analysis object is converted into the matrix form, the method is simple and easy to operate, a concl