We collect several ways to get the 2019-nCoV epidemic data.
Use the R ncovr package
R users can get the epidemic data via the ncovr package we develop, which basically includes the datasets described later.
# Install the remotes package install.packages('remotes') # Install the ncovr package remotes::install_github('pzhaonet/ncovr') # windows users have to set the Chinese environment Sys.setlocale('LC_CTYPE', 'Chinese') # Load the ncovr package require("ncovr") # read RDS data (default；recommended) get_ncov() # read .csv files (recommended) get_ncov(method = 'csv') # read from api get_ncov(method = 'api')
Please see the help documents for more details.
Non-R users can download the .csv files directly from the repository BlankerL/DXY-2019-nCoV-Data, and then open it with tools such as Excel.
This repository provides .json files as well.
It would be appreciated if you let us know other data sources, which will be listed here.
Use the R nCov2019 package
nCov2019 is another R package for downloading data.
remotes::install_github("GuangchuangYu/nCov2019") library(nCov2019) x <- get_nCov2019() x time(x) x
More details can be found on its GitHub repo.
Introduction to R
R is a free and open-source software package. We use R for data collection, cleaning, and visualization, as well as developing models, building this website, and automatically updating.
For R beginners, we published a book Learning R: from the very beginning (Peng Zhao and Yi Li. Research Press,2018. In Chinese). Click the following image and visit the homepage and read sample chapters for free.