Abstract: Load characteristic analysis based on multi-source data can improve the intelligence level of power distribution and utilization, and provide guidance for socio-demographic information identification, load monitoring and demand response analysis. In order to increase the convenience of the development of the above functions and improve the comprehensive analysis ability of power distribution, an interactive comprehensive analysis platform with load characteristic analysis function as the core, which can expand advanced functions, is built. The platform adopts Browser/Server architecture, which can cross platforms and adapt multiple terminals to realize one-time design and global use. At the same time, Django framework is used to realize extensible design, and a variety of algorithms and data are integrated to provide convenience for analysis. It realizes interactive design based on HTML5 technology and improves the visualization level of the platform under the background of big data through Canvas rendering scheme. The effectiveness and superiority of the comprehensive analysis platform are verified by a test case of day-ahead load forecasting.