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COVID-19 Data Visualization for Populous Countries — AI & Machine Learning project by YenkoDev

COVID-19 Data Visualization for Populous Countries

Software as a Service

No

Category

AI & Machine Learning

Clients

Mapua University

Techstack

PythonpandasMatplotlib

Purpose

The assignment for Mapua University required applying data analytics in Python to a real dataset — cleaning, transforming, and visualizing it to communicate an honest, well-designed statistical story.

Description

A Python analysis of the Johns Hopkins global COVID-19 dataset, focused on the five most populated countries. The script pulls the live confirmed-cases feed, reshapes the time series with pandas, applies a 30-day moving average to smooth daily noise, and renders comparative trend charts in Matplotlib covering January 2020 through September 2021.

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