https://github.com/caitroach/covid-vaccination-trends
using matplotlib and pandas to compare COVID-19 vaccination trends in Canada and the United States!
https://github.com/caitroach/covid-vaccination-trends
Last synced: 11 months ago
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using matplotlib and pandas to compare COVID-19 vaccination trends in Canada and the United States!
- Host: GitHub
- URL: https://github.com/caitroach/covid-vaccination-trends
- Owner: caitroach
- Created: 2025-01-14T02:52:06.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-14T16:25:25.000Z (over 1 year ago)
- Last Synced: 2025-02-17T07:38:30.924Z (over 1 year ago)
- Language: Python
- Homepage:
- Size: 4.05 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# COVID-19 Vaccination Trends Visualizer: Canada vs United States
## Description
This project uses pandas and matplotlib to visualize COVID-19 vaccination trends in Canada and the United States in a neat, visually appealing graph. Using publicly available data from Our World in Data, it compares the percentage of the population to be fully vaccinated against COVID-19 between 2020 and 2023.
## Features
- Colourful line graphs showing vaccination trends for each country.
- Uses Python libraries: `pandas`, `matplotlib`, and `matplotlib.dates`.
- Custom date formatting for clean, professional visualization of healthcare data.
## Data Source
Our World in Data - Covid-19 Vaccination Data: https://github.com/owid/covid-19-data
## How to Run
1. Clone or download this repository to your computer.
2. Ensure you have Python installed.
3. Install the required libraries:
```bash
pip install pandas matplotlib
## Acknowledgment
This project was done entirely as a learning exercise to strengthen my personal experience with matplotlib and panda. I adapted and customized example code to suit the dataset and build my understanding of data visualization and statistics.