The first wave of covid-19 impacted the global economy as the world was never ready for the pandemic. It resulted in a rise in cases, a rise in deaths, a rise in unemployment and a rise in poverty, resulting in an economic slowdown.
This project aims to analyze the spread of Covid-19 cases and all the impacts of covid-19 on the economy, focusing on key indicators and case studies.
The data we are using includes data on Covid-19 cases and their impact on GDP from December 31, 2019 to October 10, 2020 and is downloaded from https://www.kaggle.com/ .It contains data about:
- the country code
- name of all the countries
- date of the record
- Human development index of all the countries
- Daily covid-19 cases
- Daily deaths due to covid-19
- stringency index of the countries
- the population of the countries
- GDP per capita of the countries
The required Python libraries are-
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
** The Dataset, Case study report and analysis notebook are uploaded above. Thank You!