COVID 19 Data Analysis And Dashboard
Necessary files for data wrangling, analysis, and web application on COVID-19 outbreak in India are uploaded here.
Overview:
The COVID-19 pandemic has had a significant impact on India, with the country having the largest number of confirmed cases in Asia. This analysis project aims to visualize and estimate the impact of COVID-19 in India from various aspects, such as the effect on different regions and age groups. Data from reliable sources, including covid19india.org's API and Wikipedia, has been collected for this project.
Features:
- Cumulative Sum Visualization: The project includes a line chart that shows the cumulative sum of confirmed, recovered, deceased, and active COVID-19 cases over time.
- Recovery Rate: A visualization depicts the current situation in India, highlighting that more than 95% of patients who contracted COVID-19 have already recovered.
- Age Group Analysis: A histogram graph reveals which age group has the highest number of COVID-19 cases, indicating that people between 20-40 years old are most affected.
- State-wise Analysis: A color-coded map indicates the states with the highest number of confirmed cases, with Maharashtra and other southern states standing out.
- Active Cases: Another visualization displays the states with the highest number of active cases, showing that Kerala and Maharashtra have the highest numbers.
Summary:
This project aims to provide a detailed understanding of the COVID-19 situation in India through statistical analysis and visualizations. By analyzing data from reliable sources and considering various factors such as regional differences and age groups, the project helps in estimating the impact of the virus. The key features of this project include cumulative sum visualizations, recovery rate analysis, age group insights, state-wise analysis, and active case tracking. With these visualizations, users can gain a comprehensive understanding of the COVID-19 situation in India.