pranay1990 / Corona_Virus_Analysis_Udacity

This is the capstone data science project which I have during the Udacity course.

Corona_Virus_Analysis_Udacity

This is the capstone data science project which I have during the Udacity course.

Table of contents

1. Installation.
2. Project motivation.
3. Description of the main files.
4. Results of the project.
5. Licensing, Authors, Acknowledgements.

Installation

You need to install the following libraries,

1. Numpy
2. Pandas
3. Seaborn
4. matplotlib
5. Plotly
6. sklearn
7. imageio
8. os
9. fbprophet

Project Motivation

My primary motivations for studying the COVID 19 dataset are given below,

1. What is the month-wise progress of number new cases of covid-19 for all the countries?
2. What is the month-wise progress of number total cases of covid-19 for all the countries?
3. What is future time series evolution of total number of covid 19 cases in India?

Description of main files

covid_analysis.ipynb : This jupyter notebook file contains the code from which I have analyzed and produced the results, which are discussed in the Blogpost.

Readme.md : description of the repository.

owid-covid-data.csv : Is the COVID dataset used to study and make our analysis.

Results of the project

The results of the project is discussed here

Licensing, Authors, Acknowledgements

I would like to thank, Max Roser, Hannah Ritchie, Esteban Ortiz-Ospina and Joe Hasell (2020) - "Coronavirus Pandemic (COVID-19)". Published online at OurWorldInData.org. Retrieved from: 'https://ourworldindata.org/coronavirus' [Online Resource], for providing the dataset for our study.