中国大陆用户请访问：https://www.bilibili.com/video/BV1CQ4y1X7nk/ 观看完整作品视频

This is a project that revolves around the technique of data visualization and especially it attempts to discuss the question of how to make “meaningful” and “interesting” usage of the increasingly exposed public data released from the government.  I decided on the theme of visualizing the air quality in the city I am living in and its pollution state by building a generative system that takes a dataset as input. This generative visualization system analyses all the data in a CSV file about all the average individual air quality indices in all of Shanghai's districts. After the data is parsed in Processing, all those data entries are fed into a custom visualization algorithm that I wrote which takes an image of a place in Shanghai and turns it into an artistic and generative aesthetics made with particulate matters and particles running on a flow field influenced by those data. More specifically, the dataset is analyzed to affect the properties of particulates, particles, the vector field as well as the process of applying a convolution matrix (Sobel operator) to the input image. Lastly, a PDF book is automatically created after running the program, which includes all of the visualization results generated by the data entries（air quality data indices) on each day of December 2020. All data entries on each date are provided below the corresponding visualization result.

这是一个围绕数据可视化技术的项目，它试图讨论如何“有意义”和“有趣”地使用来自政府发布的公共数据集。我首先决定将我居住的城市的空气质量和污染状况可视化，通过建立一个生成式系统并以数据集作为其输入。这个生成式可视化系统分析了一个CSV文件中关于上海所有地区的所有平均空气质量指数的的所有数据。数据解析处理后，所有这些条目的数据被输入一个自定义的可视化算法，将在上海某一处的图像转变成一个由颗粒物质和流场组成的生成式美学。具体来说，分析后的数据集对粒子属性、向量场产生影响，并同时影响图像应用卷积矩阵(Sobel算子)的过程。在运行该程序后，会自动创建一个PDF文档，其中包括2020年12月每天由数据条目(空气质量数据指数)生成的所有可视化结果，在相应的可视化结果下面也提供了每个日期的所有数据条目。