https://github.com/das-amlan/visualizing-covid-19
Visualizing data from the early months of the coronavirus outbreak.
https://github.com/das-amlan/visualizing-covid-19
datacamp dplyr ggplot2
Last synced: 7 days ago
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Visualizing data from the early months of the coronavirus outbreak.
- Host: GitHub
- URL: https://github.com/das-amlan/visualizing-covid-19
- Owner: das-amlan
- Created: 2021-04-21T10:49:27.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2021-04-21T10:53:50.000Z (about 5 years ago)
- Last Synced: 2025-03-04T14:40:25.635Z (over 1 year ago)
- Topics: datacamp, dplyr, ggplot2
- Language: Jupyter Notebook
- Homepage:
- Size: 544 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Visualizing-COVID-19
Within months, COVID-19 went from an epidemic to a pandemic.
From the first identified case in December 2019, how did the virus spread so fast and widely?
In this R project, we will visualize data from the early months of the coronavirus outbreak to see how this virus grew to be a global pandemic.
This project was done using dplyr and make plots using ggplot2.