Covid-19 Analysis Python Project: Automated Data Extraction, Visualization, and Reporting

This article introduces the open‑source Python project “Covid‑19‑analysis” (also available as the pip package covidify ) which automatically fetches the latest COVID‑19 statistics and generates daily updated visual reports.

Key features include time‑series charts of confirmed, death, and recovered cases, daily summary tables, country‑level filtering, Excel export, and storage of all results in a results folder.

Installation is as simple as running pip install covidify . After installation, the tool can be executed to produce a variety of charts such as cumulative trend lines, daily trend lines, stacked bar charts for cumulative and new cases, and current active case calculations.

The article provides several example screenshots illustrating these visualizations, and notes that the underlying data source is the Johns Hopkins University CSSE COVID‑19 dataset ( GitHub ).

Source code for the project is hosted at https://github.com/AaronWard/covid-19-analysis .

At the end, a QR code is offered for a free Python learning resource, which is promotional but unrelated to the core technical content.