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    Документ
    The methodology of data visualization by means of animated graphics information technology
    (2023) Hryhoruk, Pavlo; Valkov, Olexandr
    Charts offer a convenient visual representation of numerical values. This allows the user to draw conclusions about the relationships between different data series, identify trends in their change, and explore the structural properties of the data series. Visual presentation of data is a means that helps improve the perception of information, and its comprehensibility, allows you to quickly and easily convey your thoughts and ideas to other people who are consumers of information. Physiologically, the perception of visual information is more inherent to humans than other senses' perception of different data types. This helps to increase labor productivity in the data processing. The application of the MS Excel spreadsheet processing system, which is used in most domestic educational institutions on a legal basis, provides a powerful toolkit for data processing, including their visualization. The growing amount of data to be analyzed gives rise to the non-trivial task of graphically presenting it in an easy-to-understand form since displaying all the data often leads to overloading of the diagram, confusion, and, ultimately, incorrect conclusions. This requires using interactive charts that allow to visualization of data in portions. The paper aims to investigate the capabilities of MS Excel for the visualization of large data sets in an easy-to-understand form and to offer a toolkit for the practical implementation of such visualization. The main result of the study is the description of a tool for visualizing large data sets by selecting the required range of data using form controls. The material presented in the article implements only one of the possible approaches to using a spreadsheet processor in constructing animated diagrams. It does not require special knowledge, in particular, of programming, and can be implemented in the educational process. Examples of practical implementation of the proposed data visualization approach accompany the material's presentation