数据可视化 - Data Visualization

课程介绍 Course Introduction

学分：3 | 先修课：数据结构与算法 | 学期：第4学期

数据可视化课程教授如何用图形化方式呈现数据，传达信息与洞察。内容涵盖可视化的感知原理、图表类型选择、颜色与设计原则、交互式可视化、地理空间可视化与网络可视化等。课程使用Matplotlib、D3.js、Tableau、Plotly等工具，培养学生针对不同受众与场景设计有效可视化方案的能力，避免常见的误导性图表设计。

Data Visualization teaches how to present data graphically to convey information and insights. The course covers perceptual principles of visualization, chart type selection, color and design principles, interactive visualization, geospatial visualization, and network visualization. Using tools such as Matplotlib, D3.js, Tableau, and Plotly, students develop the ability to design effective visualizations for different audiences and scenarios, avoiding common misleading chart designs.

大作业 Final Project

作业标题：交互式数据仪表盘

选取公开数据集设计并实现一个交互式Web仪表盘，包含多种联动图表、筛选器与说明文字，发布上线并撰写设计文档，说明设计取舍。

Select a public dataset to design and implement an interactive web dashboard with linked charts, filters, and explanatory text, publish it online, and write design documentation explaining design trade-offs.