Novel strain coronavirus disease caused by - (SARS-CoV-2) - the first case was identified in Wuhan in December 2019.The disease has since spread worldwide, leading to an ongoing pandemic by World Health Organization.A million cases have been confirmed, and the number keeps getting higher every day. There is really no way to communicate the pandemic other than through data.
Data is in CSV format and is updated daily.The data is hosted by the team at Johns Hopkins University Center for Systems Science and Engineering (CSSE) who have been doing a great job by collating covid-19 data from around the world.There are three files that contain Total Confirmed Cases, Deaths and Recoveries.
Tried to understand and visualize the spread of Covid-19 using different python libraries which are used in exploratory data analysis NumPy, Pandas, Matplotlib, Seaborn, and Plotly.Just craving narratives and informationto to help us understand what is happening.
Let's do the analysis on the spread of Coronovirus
Some Important and Interesting Points Regarding Corona:
- How is Corona growing Worldwide?High level overview of data in all columns.
- What are the ratios of recovered,confirmed and death cases?
- Comparing different countries on the basis of no.of Confirmed and death cases.
- What does the country-wise infection trend look like?
- Which countries should we be worried?
The number of cases and deaths worldwide have been growing with proper measures the outbreak can be brought under control. Let’s hope and pray for a speedy end to the outbreak and don't forget to wash your hands!