The repository contains a collaborative programme

This is a final cooperation project covering two courses of Python (level 18) and interactive data visualization (level 17). The common goal of the project is to demonstrate the abilities of both parties and attract collaborators according to the common self-curating practice of the platform. Division of project level 17 students as industry common product manager (interaction designer), is mainly responsible for complete design, minimum feasible interactive data visualization products make PRD until at least 2 successful interaction and interactive significance associated (with links or interaction to achieve interactive interface (at least 1 including map) product prototypes or complete products, including the use of related Pyecharts and/or Plotly module and so on the integration of the appearance style code and data science practice, Front-end CSS and Javascript library invocation practices for appearance styles (such as Bootstrap); As developers, students in grade 18 are mainly responsible for the code practice and document writing of the front and back (basic: table only) interaction, and for the basic HTML document structure and interactive control implementation and interactive variable practice. The project in the current smoking has become a danger to health, one of the main risk factors by using the python crawler won the collection data and multiple existing data, the perspective of multi-level to provide for analysis, using plotly, pyecharts, web channel such as CSS styles, in designing a web page with a number of interactive interface through the python performance data.

这是一个涵盖了18级《Python》与17级《交互式数据可视化》两门课程的期末合作项目，项目共同目标按平台常见的自我策展实践，正向展示双方能力，相互吸引协作者。项目分工以17级学生作为产业界常见的产品经理（交互设计师），主要负责完成最小可行的交互式数据可视化产品设计，做出PRD及至少有2份成功交互且交互意义相关连（以超连结或交互达成）的交互式界面（其中至少1份含地图）的产品原型或完整产品，包括使用相关Pyecharts 及/或Plotly模块等等的整合外观样式及数据科学代码实践，以及外观样式的前端CSS 及Javascript库调用实践（如Bootstrap）；18级学生作为开发人员分工，主要负责完成前后端（基本:仅表）交互的代码实践及文档写作，负责打底的HTML文档结构及交互控件实现及交互变数实践。该项目在现今吸烟已成为危害身体健康的一大危险因素的背景下，通过使用python爬虫获得了数据以及集合多个现有数据库的数据，多层次提供供分析的角度，运用plotly、pyecharts、网页CSS样式等渠道，在设计网页中以数个具有交互功能的界面透过Python表现数据故事。