Big data visualization technologyis a crucial technique for expressing and analyzingdata. lt transforms data information into visible and perceptible forms, allowing users tovisually observe and comprehend data as well as discover patterns, trends, andinsights. Because of the large-scale volume, fast generation rate, and heterogeneity othe data, big data visualization faces many challenges. How to effectively presentlargeamounts of data information in a limited visual space, as well as how to manage andpresent complex and dynamic data structures and relationships, are pressing issues tobe solved. Facing with the emergent demand from the economic, financial, and urbangovernance fields, we have proposed a real-time interactive big data visualization andanalysis framework to implement spatio-temporal data visualization applications forindustry oriented diaital transformations, More than ten papers have been published intop intemnational conferences and journals.
