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Covid-19 Vaccine Distribution Analysis

📜 Project Description

This project explores the distribution patterns of COVID-19 vaccines in India and worldwide. The Analysis is done using Python for data analysis and Tableau for visualizations. It provides insights into vaccine distribution trends, regional disparities, and the effectiveness of vaccine allocation strategies. The goal is to identify actionable insights to inform better decision-making in future healthcare initiatives.

📊 Objectives

  • Analyze the distribution patterns of vaccines globally and in India.
  • Identify trends and disparities in vaccine allocation.
  • Provide Insights into the global and regional vaccine strategies.

🛠️ Tools and Technologies

  • Programming Language: Python
  • Libraries Used: Pandas, NumPy, Matplotlib, Seaborn
  • Visualization Tool: Tableau
  • Notebook Environment: [Google Colab] (https://colab.research.google.com/)

🚀 How to Access the Analysis

Analysis Notebook:

📈 Key Insights

  • Vaccine Doses Administered Across Age Groups: The analysis reveals the distribution of vaccine doses across various age groups, highlighting which demographics have received the most attention in vaccination campaigns.
  • Doses Administered vs. Individuals Vaccinated: A comparison of the total number of doses administered against the number of individuals vaccinated, emphasizing the difference between single and multiple-dose vaccinations in different regions.
  • Vaccine Distribution by Brand in India and Worldwide: A detailed breakdown of vaccine distribution by brand across all Indian states and globally, showcasing the popularity and reach of different vaccine brands.
  • Testing Efficiency: Analysis of testing rates and their correlation with vaccination progress, identifying regions with high testing efficiency and the impact of testing on controlling the virus.
  • Death and Recovery Rates: The correlation between vaccination rates and mortality/recovery rates in different regions, providing insights into the effectiveness of the vaccination drive in reducing cases and fatalities.