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ncov2019's Introduction

nCov2019: An R package with real-time data, historical data and Shiny app

🏠 Data Sources

Real-time data

Historical data (three public data sources):

  1. Wuhan-2019-nCoV GitHub repository.

    • This data source contains detailed city level data in China, and country level data in worldwide.
  2. National Health Commission of the People’s Republic of China

    • This data source contains province level data in China.
  3. DXY.cn. Pneumonia. 2020.

    • We collect historical city level data in China from this source.

For more details see our vignette, Preprint, and Shiny app.

✍️ Authors

If you use nCov2019, please cite the following preprint:

Tianzhi Wu, Erqiang Hu, Xijin Ge*, Guangchuang Yu*. Open-source analytics tools for studying the COVID-19 coronavirus outbreak. medRxiv, 2020.02.25.20027433. doi: https://doi.org/10.1101/2020.02.25.20027433

⏬ Installation

Get the development version from github:

## install.packages("remotes")
remotes::install_github("GuangchuangYu/nCov2019")
  • get_nCov2019() to query online latest information
  • load_nCov2019() to get historical data
  • summary and [ to access data
  • plot to present data on map
  • dashboard() to open Shiny app dashboard

🎨 Example

Run the script example.R in R using source("example.R"), will produce the following figure:

📖 Documents

📈 Shiny Apps that use nCov2019

💖 Collected in resource list

ncov2019's People

Contributors

guangchuangyu avatar huerqiang avatar timze216 avatar aminblm avatar gexijin avatar kmader avatar

Watchers

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