A review on multivariate graphics

In this study, detailed information about graphical methods commonly used for more comprehensible representation of multivariate data which seems to be quite complex in daily life is tried to be presented clearly. In addition, it is emphasized that the techniques used in multivariate graphical methods are extremely successful in revealing hidden structures in multiple data sets. In the first part of the study, introduction to the subject will be discussed. Issues such as finding missing values, excessive values of data, and discrepancies in the data were discussed. In these steps where data cleaning is performed; loss data, detecting outliers and eliminating any inconsistencies in the data. In the second part, detailed information about multivariate graphs is given. In the last part, applications related to multivariate graphs are given.