Introduction
In this presentation, we explore global COVID-19 trends by analyzing key metrics like total confirmed cases, deaths, recoveries, and active cases across various countries. We’ll use data from the global COVID-19 dataset to highlight top countries, comparison of specific countries, and insights into the pandemic’s impact.
Data Overview
We used the COVID-19 Global Dataset to analyze the total confirmed, recovered, and deceased cases across different countries. Below is an overview of the dataset we used for analysis.
# A tibble: 6 × 12
country continent total_confirmed total_deaths total_recovered active_cases
<chr> <chr> <dbl> <dbl> <dbl> <dbl>
1 Afghanist… Asia 179267 7690 162202 9375
2 Albania Europe 275574 3497 271826 251
3 Algeria Africa 265816 6875 178371 80570
4 Andorra Europe 42156 153 41021 982
5 Angola Africa 99194 1900 97149 145
6 Anguilla North Am… 2984 9 2916 59
# ℹ 6 more variables: serious_or_critical <dbl>,
# total_cases_per_1m_population <dbl>, total_deaths_per_1m_population <dbl>,
# total_tests <dbl>, total_tests_per_1m_population <dbl>, population <dbl>
Top 10 Countries by Confirmed Cases
Comparison of Two Countries
Insights
1. Most Impacted Countries
- Countries like USA, India, and Brazil have had the highest number of cases.
2. Recovery and Mortality
Countries with high recovery rates are also improving their management of the pandemic.
However, some countries still face challenges with high death tolls, even with high recovery rates.
3. Active Cases Comparison
- Comparing active cases between countries reveals which countries are still battling significant outbreaks.
Conclusion
In conclusion, the global COVID-19 dataset provides valuable insights into the trends and outcomes of the pandemic. By analyzing total confirmed cases, recoveries, and deaths, we can track the success of different countries in controlling the virus and managing its impact.