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we are going to work with COVID19 dataset, published by John Hopkins University, which consist of the data related to cumulative number of confirmed cases, per day, in each Country.

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demaria11/COVID19-Data-Analysis-Using-Python

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COVID-19 Data-Analysis-Using-Python

This project is divided into 4 parts:


Task 1: Introduction

  • Understand the purpose of the project, the datasets that will be used, and the question we will answer with our analysis.

Task 2: Importing COVID19 dataset

  • Import COVID19 dataset and prepare it for the analysis by dropping columns and aggregating rows.

Task 3: Finding a good Measure

  • Decide on and calculate a good measure for our analysis.

Task 4: Importing World happiness report dataset

  • Import World happiness report dataset, dropping useless columns and Merge it with COVID19 dataset to find correlations among our data.

Task 5: Visualizing the results

  • Visualize our results using Seaborn.

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we are going to work with COVID19 dataset, published by John Hopkins University, which consist of the data related to cumulative number of confirmed cases, per day, in each Country.

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