企业数据

规模要求至少在5000条样本；
4. 要求使用Pandas对数据集合进行数据预处理，包含缺失值的删除转换、数据清洗以及数据变形；
4. 要求Pandas处理数据时，应用到数据分组与转换等操作；
5. 数据可视化图表要求五类，具体见评分细则；
6. 要求完成该选题数据的三个设计任务、每个设计任务下两个方向及具体思路的规划与实现；
7. 提交源码压缩包，及代码运行页面的HTML文件的PDF报告，若有思考题的图片则图片命名个人信息，不压

The dataset must include a minimum of 5,000 samples.
4. Pandas is required for data preprocessing of the dataset, covering deletion and transformation of missing values, data cleaning, and data reshaping.
4. Operations such as data grouping and transformation must be utilized during Pandas-based data processing.
5. Five types of data visualization charts are required, with specific details outlined in the scoring rubric.
6. Three design tasks for the selected dataset topic must be fully completed, including planning and implementation of two directions and corresponding specific ideas under each design task.
7. Submit a compressed source code package and a PDF report of the HTML file for the code running page. If there are images of thinking questions, name the images using personal information and do not compress them.

搜集汇总

背景与挑战

背景概述

该数据集规模至少包含5000条样本，要求使用Pandas进行数据预处理，涉及缺失值处理、数据清洗、变形、分组与转换等操作。同时，需要完成数据可视化、设计任务及报告提交。