World wide Covid data analysis

This is a data analysis project on worldwide covid data created for the Data Science Nano Degree program, from Udacity.

Scope

The scope of this project is to analyse the data on the worldwide covid cases from Jan, 2020 untill beginning of Jan2021 The analysis provides the insight about the statistics around the world on covid confirmed cases, deaths and causes of increase of death in each continent, and the 10 top most affected countries. And also the details of total cases and deaths in each continents.

Libraries Used

• Jupyter as IDE
• GIT hub for the version control
• Pandas
• Numpy
• Python 3
• Plotly for ploting graphics
• Seaborn

Reference Files in the Project

• covid_data_ww.ipynb
• README.md
• Data Source : owid-covid-data.csv
• Data Visualisation
• Plotly for charts
• 5 techniques DV
• Choropleth maps
• few more blogs on data visualisation on covid.

Blog Post

I have written the blog on the data analysis here in this link

Summary

The analysis shows the different causes of death in continents where death rates are higher. Also shows the top 10 countries affected by the COVID

Acknoledgment

Thanks to the Our World in data, for providing the data for deeper analysis. And several other bloggers for providing great insight, and tips for writing my first blog