WHO Covid-19 Analysis
WHO Covid-19 Dashboard
COVID-19, also known as coronavirus disease 2019, is caused by the SARS-CoV-2 virus. It emerged in December 2019 and rapidly spread worldwide, resulting in a global pandemic. The virus primarily spreads through respiratory droplets.
This analysis was carried out to explore global COVID-19 trends based on data from the World Health Organization (WHO).
๐ Data Source
WHO Official Website
๐ ๏ธ Tools Used
Tableau Desktop
๐ฏ Objective
To understand the occurrence, trend, and severity of the COVID-19 pandemic worldwide.
๐ Data Overview
The dataset consisted of 12 columns and 237 rows, including the following variables:
- Country
- WHO Region
- Cases - Cumulative Total
- Cases per 100,000 Population
- Cases - Reported in Last 7 Days
- Cases - Last 7 Days per 100,000 Population
- Cases in Last 1 Hour
- Deaths - Cumulative Total
- Deaths per 100,000 Population
- Deaths - Reported in Last 7 Days
- Deaths - Last 7 Days per 100,000 Population
- Deaths in Last 1 Hour
๐งน Data Cleaning & Analysis
No cleaning was required; the dataset was ready for analysis.
๐ Data Visualization
The data was analyzed and visualized using Tableau Desktop. Key performance indicators (KPIs) were computed using calculated fields. Example formulas:
- Total Cases:
SUM([Cases - Cumulative]) - Last 7 Days:
SUM([Cases - Last 7 Days]) - Per 100,000 Population:
SUM([Cases per 100k population])
๐ Findings
๐น United States (103,436,829) and China (99,320,286) recorded the highest number of confirmed cases.
๐น United States and Brazil reported the highest death toll.
๐น Europe and the Americas experienced the highest number of cases per 100,000 population.
๐น African, Eastern Mediterranean, and South-East Asian countries reported the lowest number of cases and deaths.
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WHO COVID-19 Analysis
- Category Tableau Project
- Project URL Tableau Public
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