Algeria - COVID-19 Pandemic Data Analysis & Visualization
Visualized and analyzed Algeria's COVID-19 pandemic data (cases, recoveries, deaths) over time using R and ggplot to identify trends.
About This Project
Used advanced Data Visualization and Analysis techniques to comprehensively visualize Algeria's COVID-19 Pandemic data. This involved creating detailed charts and graphs to show important information like the number of cases, recoveries, and deaths over time. These visual tools help to easily see trends, such as when the number of cases was highest or how quickly people were recovering. The analysis includes time-series analysis, correlation studies, and predictive modeling. The goal is to make complex epidemiological data simple and clear, so we can better understand how the pandemic has affected Algeria and inform public health decisions.
Technologies Used
Key Highlights
- Applied R for statistical analysis of pandemic data
- Created informative visualizations using ggplot2
- Time-series analysis of COVID-19 trends
- Published interactive visualizations on RPubs