Python Based Data Visualization and Configurable Teaching System Design and Implementation

Abstract

This paper designs and implements a configurable teaching system for data visualization through Python, builds a visualization and analysis framework for hybrid teaching data combining the general process of data visualization, discusses the implementation process and mechanism of hybrid teaching data visualization from two dimensions of timeliness and media form, introduces numerical, textual, and hybrid numerical and textual data visualization processing methods, and discusses the visualization results are explored for interactive presentation processes. The experimental class that integrates the application of data visualization results achieves better pedagogical results than the reference class that does not apply data visualization results. The experiment validated the effectiveness of the application of data visualization in blended instruction. This study also gives suggestions for optimizing the application strategy of data visualization technology in blended teaching, in the hope that it can provide a reference for the implementation of the data-driven precision teaching process.