Introduction
In this project, you will learn how to analyze COVID-19 data using Python. The COVID-19 pandemic has had a significant impact on the world, and understanding the data is crucial for tracking the spread of the virus and making informed decisions.
👀 Preview
{
"Confirmed": {
"Africa": 1203094,
"America": 6396173,
"Asia": 6480321,
"Europe": 3450299,
"Oceania": 27346,
"Others": 721,
"Total": 17557954
},
"Deaths": {
"Africa": 28289,
"America": 254610,
"Asia": 133186,
"Europe": 206438,
"Oceania": 576,
"Others": 15,
"Total": 623114
},
"Recovered": {
"Africa": 930536,
"America": 5087347,
"Asia": 5163062,
"Europe": 1927545,
"Oceania": 21892,
"Others": 651,
"Total": 13131033
},
"Active": {
"Africa": 244269,
"America": 1054216,
"Asia": 1184073,
"Europe": 1316316,
"Oceania": 4878,
"Others": 55,
"Total": 3803807
}
}🎯 Tasks
In this project, you will learn:
- How to set up the development environment and install the required Python libraries
- How to understand the structure and content of the COVID-19 data
- How to implement a function to convert country names to continent names
- How to process the COVID-19 data and calculate the summary statistics for each continent
- How to test the code and verify the output
🏆 Achievements
After completing this project, you will be able to:
- Understand how to work with CSV data in Python
- Implement functions to process and analyze data
- Convert data between different formats (e.g., CSV to JSON)
- Gain experience in data analysis and visualization
- Contribute to the understanding of the COVID-19 pandemic through data-driven insights
