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Covid-19 Impacts Analysis

Case Study:

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:

  1. Country Code
  2. All Country Names
  3. Record Date
  4. Human Development Index of All Countries
  5. Daily Covid-19 Cases
  6. Covid-19 Daily Deaths
  7. Strict Indicators of Countries
  8. Country Population
  9. Per capita GDP of Countries

Analyzing the Spread of Covid-19

image

image Percentage of total deaths and total cases among all the countries image image

Death rate of covid 19 cases: image

Analyzing Covid-19 Impacts on Economy :

image image image

Conclusion

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.

Tools and Technology Used:

1 Python Libraries :

  1. Pandas :data manipulation and analysis
  2. Plotly Express : Provides functions to visualize a variety of types of data.Easy to style the figures.
  3. plotly. graph_objects : An automatically-generated hierarchy of Python classes which represent non-leaf nodes in this figure schema.