Importance: The article raises a point of visual representation of big data, recently considered to be demanded for many scientific and real-life applications, and analyzes particulars for visualization of multi-dimensional data, giving examples of the visual analytics-related problems. Objectives: The purpose of this paper is to study application of Andrews plots to visualization of multidimensional data. Methods: Application of Andrews plots to multidimensional data visualization is investigated herein by means of analysis, logical generalization, scientific abstraction. Results: The direct interaction between the analyst and the visualization system projecting the multi-dimensional data into spaces with fewer dimensions, supporting formulation and testing of the hypotheses regarding the nature and the data structure have been researched. The article seems to be useful for working with multidimensional dataset to optimize the process.