l-vinaykumar/covid-19-data-visualization

Covid-19 data visualization

COVID-19 Data Visualization

Coronavirus disease 2019 (COVID-19) listing confirmed cases, reported deaths and reported recoveries. Coronavirus disease (COVID-19) is caused by the Severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) and has had a worldwide effect. On March 11 2020, the World Health Organization (WHO) declared it a pandemic, pointing to Coronavirus illness in over 110 countries and territories around the world at the time.

Summary Process

1. Objective
2. Data Extraction
3. Data Preparation
4. Installation
5. Data Visualization
6. Conclusion

Objective:

Visualization of people affected by COVID-19 worldwide

• Confirmed tested cases of Coronavirus infection
• TreeMap Representation of Data
• Pie Chart Representation of stats of worst affected countries
• Representation of Population to Tests Done Ratio
• The number of people who have reportedly recovered from it
• Top 20 countries that are Severely affected/TotalConfirmed/TotalDeaths/TotalActive/TotalRecoveries by corona

Installation

To install the libraries used in this project. Follow the below steps

 pip install pandas
 pip install numpy
 pip install matplotlib
 pip install plotly

Data Visualization

For full report of this project: COVID-19

TreeMap of Total Covid Cases

Most-Effected country by CORONA

Top 20 Recovered Cases