地球资源数据云——数据资源详情

COVID-19 数据分析和可视化

发布时间：2026-03-17 14:31:47资源ID：2031264121675485185资源类型：免费

该数据集《COVID - 19 Data Analysis and Visualization》主要用于监督学习任务，数据形态以表格为主。 题目说明：Mostly the data is visualized in terms of no. of cases, recoveries, deaths etc. 任务类型：表格监督学习。 建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：covid.csv, covid_grouped.csv, coviddeath.csv。 Being on the data platform and posting my first ever notebook on Kaggle, and earlier, I have tried the same on Google Colab as well. Using Pandas in Python, I have visualized how the Covid19, which is prevailing worldwide and has drastically depleted many lives, also made life a tragedy. Here, I have used Matplotlib for the plots and have also elaborated the same using Plotly. Thanks!

COVID-19 数据分析和可视化

摘要概览

该数据集《COVID - 19 Data Analysis and Visualization》主要用于监督学习任务，数据形态以表格为主。 题目说明：Mostly the data is visualized in terms of no. of cases, recoveries, deaths etc.

任务类型：表格监督学习。

建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。

评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。

可用文件：covid.csv, covid_grouped.csv, coviddeath.csv。

Being on the data platform and posting my first ever notebook on Kaggle, and earlier, I have tried the same on Google Colab as well. Using Pandas in Python, I have visualized how the Covid19, which is prevailing worldwide and has drastically depleted many lives, also made life a tragedy.

Here, I have used Matplotlib for the plots and have also elaborated the same using Plotly.

Thanks!