Using COVID-19 Datasets From Johns Hopkins University Repository i did some analytics and visualisation which includes the following

• Grouping and Merging Data By Country instead of Province/State
• Visualizing Egypt's Confirmed Cases Progress and Making a Predictive Model For The Next 3 Days as an Exponential Growth
• Visualizing Boxblots of Total Confirmed, Recovered, Deaths & Active Cases World Wide
• Visualizing China's, Italy's, Iran's, Spain's & USA's Confirmed Cases Progress
• Calculating Similarities Between Total Confirmed, Recovered, Deaths & Active Cases Using Different Methods (Euclidean, Manhattan, Supermum)
• Calculating Skewness of Total Confirmed, Recovered, Deaths & Active Cases Data
• Calculating Correlation Between Total Confirmed, Recovered, Deaths & Active Cases Using Different Methods (Pearson, Kendall, Spearman)

Used Python with

• Pandas to Import & Manipulate the Data
• Matplotlib to Visualize the Data
• Scipy to Make Predictive Model