The first wave of Covid-19 affected the world economy as the world was unable to prepare for a pandemic. This led to increased cases, increased deaths, increased unemployment, and increased poverty, leading to a slowdown in the economy. This is necessary to analyze the spread of Covid-19 cases and the economic impact of Covid-19. The dataset used to analyze the impact of Covid-19 is downloaded from Kaggle. Contains data on:
- Country Code
- All Country Names
- Record Date
- Human Development Index of All Countries
- Daily Covid-19 Cases
- Covid-19 Daily Deaths
- Strict Indicators of Countries
- Country Population
- Per capita GDP of Countries
Percentage of total deaths and total cases among all the countries
In this task, I investigated the spread of Covid-19 between countries and its impact on the world economy. With the outbreak of Covid-19, the number of cases and deaths of Covid-19 is the highest in the United States. The main reason for this is an indicator of US rigor. It is relatively small when measured against the population. I also analyzed how per capita GDP in each country was affected during the outbreak of Covid-19.
1 Python Libraries :
- Pandas :data manipulation and analysis
- Plotly Express : Provides functions to visualize a variety of types of data.Easy to style the figures.
- plotly. graph_objects : An automatically-generated hierarchy of Python classes which represent non-leaf nodes in this figure schema.