COVID-19 in Vietnam Analysis - From Jan to May 2020

The worldwide pandemic COVID-19 had left with devastating effects to the economics and the people lives. By examining the cases and theirs associated factors and features, more information can be drawn to create better understanding about this virus, thus, having better prevention and treatments for the patient.

The dataset used in this analysis is from kaggle.com, which includes some detailed information about the first 288 cases in Vietnam (from January to May 2020). The below analysis is aims to produce insight look about the COVID-19 in Vietnam for the first 5 months. By implementing Numpy, Pandas, Matplotlib, Seaborn to effectively working with data, the overall view as well as some in-depth examination will be made.

This is also the last project of the course Data Analysis with Python: Zero to Panda. This course had provided great instructions and tools for amateurs to get used to and applied it for practical problems, all of which had shown to be extremely handy and valuable for analyzing Data while programming in Python language.

Downloading the Dataset

By using opendatasets, the csv files founded on kaggle can be accessed and extracted easily for further usage.

Let's begin by downloading the data, and listing the files within the dataset.