This repository contains code and visualizations for the analysis of COVID-19 data, including trends, geographical distribution, and forecasting using various tools and libraries.

The COVID-19 data used in this analysis is sourced from the 'covid_19_clean_complete.csv' file.

• Data Cleaning and Renaming
• Geographical Visualizations
• Time Series Analysis
• Forecasting using FB Prophet
• Top Countries Analysis

• Python
• Pandas
• NumPy
• Seaborn
• Matplotlib
• Plotly Express
• FB Prophet

• Choropleth maps to visualize active, recovered, death, and confirmed cases worldwide.

• Visualization of the trend of COVID-19 spread over time.

• Identification and visualization of top countries with the most confirmed, active, and death cases.

• Time series forecasting for confirmed, death, recovered, and active cases using the FB Prophet library.