Visualization analysis of shipping recruitment information based on R

Abstract

With the combination of big data and shipping industry, data visualization plays a more and more important role in the shipping industry, which makes the boring industry data vivid and intuitive and help users understand and grasp the data easily. However, the traditional data visualization has a series of deficiencies, for instance, the display structure is too single and too simple, the unit information is insufficient, the visualization function for the multi-factor data set is limited, which has become increasingly unable to meet people's requirements for visualization. In this paper, we apply Python web crawler for crawling the shipping recruitment information firstly. Then, do some necessary data preprocessing through the R language based on reshape software package, next we use one of the ggplot2 software package to do a variety of visualization of shipping recruitment information. Finally, some necessary analysis and assessment have been made according to the visualization results and some relevant professional knowledge. The experimental results show that the ggplot2 drawing system can deal with the multi-factor shipping recruitment information dataset and can design the graph with high recognition and large information. In addition, according to the visualization results, this paper can easily find out the significant level of each factor and the trend of each level, which to be expected to provide a reference and basis for the determination of the overall situation of China's seafarer market.