A big data processing methods for visualization

The current visualization has been difficult to adapt to the growing of big data. The paper presents method to use binned aggregation to reduce big data for visualize a variety of data types. Givens a data storage scheme of the dimensionality reduction block. Then for interactive visualization in binned plots through multivariate data tiles. For a large range of data, we cut into a lot of small pieces. When carrying out a range query, just use the divided pieces of data for this range be spliced. The big data through reduction into data block and be interactive checking among binned plots through many multivariate data tiles.