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https://github.com/shivamsharma32/covid-19-analysis
The COVID-19 pandemic has had a profound impact on global health, economies, and societies. This project aims to provide insights into the spread and effects of the virus through visualizations and analysis of COVID-19 data.
https://github.com/shivamsharma32/covid-19-analysis
dataanalytics datavisualization powerbi
Last synced: 13 days ago
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The COVID-19 pandemic has had a profound impact on global health, economies, and societies. This project aims to provide insights into the spread and effects of the virus through visualizations and analysis of COVID-19 data.
- Host: GitHub
- URL: https://github.com/shivamsharma32/covid-19-analysis
- Owner: shivamsharma32
- Created: 2024-01-29T13:57:47.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-01-29T14:03:15.000Z (11 months ago)
- Last Synced: 2024-03-10T16:48:49.631Z (10 months ago)
- Topics: dataanalytics, datavisualization, powerbi
- Homepage:
- Size: 493 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# COVID-19 Analysis Project
This project focuses on analyzing the impact of COVID-19 using data visualization in Power BI.
## Overview
The COVID-19 pandemic has had a profound impact on global health, economies, and societies. This project aims to provide insights into the spread and effects of the virus through visualizations and analysis of COVID-19 data.
## Data Sources
https://www.worldometers.info/coronavirus/
## Analysis and Visualizations
The analysis in Power BI includes the following visualizations:
- Time series graphs of COVID-19 cases, deaths, and recoveries over different time periods.
- Geospatial maps showing the distribution of cases and vaccination rates across countries or regions.
- Demographic analysis to understand the impact of COVID-19 on different region, countries and continents.
## Key Findings
The analysis has revealed several key findings, including:
- The trajectory of COVID-19 cases and deaths over time in different regions.
- Disparities in vaccination rates and testing capabilities among countries.
- Insights into the demographic groups most affected by the virus.
## Dashboard
A live dashboard showcasing the visualizations and analysis can be accessed
