Covid19 Data Analysis

Motivation for this Project

In the current scenario when the world is fighting against the COVID19 pandemic, I tried to analyze the COVID19 Confirmed Dataset of John Hopkins University and World Happiness Data and tried to connect some bridges between them. I plotted Maximum Infection Rates with GDP, Social Support, Healthy Life Expectancy, and Freedom to make Life Choices.

Primary Goals

• A country wise comparison plot between GDP Per Capita and Maximum Infection Rates
• A country wise comparison plot between Social Support and Maximum Infection Rates
• A country wise comparison plot between Healthy Life Expectancy and Maximum Infection Rates
• A country wise comparison plot between Freedom to make Life Choices and Maximum Infection Rates

Datasets Used :

1. COVID19 Confirmed Dataset

2. World Happiness Dataset

Results

Helpful Links

• Coronavirus - John Hopkins University

• Seaborn

• MatplotLib

• Pandas