Research on Visualization of Multi-Source Heterogeneous Data Based on Statistical Maps and Knowledge Graph

With the development of data collection and big data storage more and more data are collected and stored, the purpose of data collection and storage is to use data. However, facing the original data information it is difficult for people to find the relationship between data and data and its change trend. Because of this problem, this paper focuses on the research of several kinds of Chinese multi-source heterogeneous complex data and analyses three aspects: multidimensional data presentation, geographic data presentation, and text data. We propose a visual presentation method based on user interaction and dimension recognition using statistical maps, tag cloud and knowledge graph and the method is systematically implemented.