covid19india
is designed while working with data on COVID-19 in India. covid19india.org is
a data resource with APIs available. It is updated daily and provides count, testing, and vaccine data
at the national, state, and district level. This package eases the process for R users to obtain data
ready for analysis in hopes of democratizing data science and speed up public health research.
Please share thoughts and comments with me: [email protected] or 🐦 @MaxSalTweets
# Install the CRAN version
install.packages("covid19india")
# Or the development version from GitHub:
# install.packages("remotes")
remotes::install_github("maxsal/covid19india")
- 🏎️ migrating data sources [
v0.1.5
]- In light of covid19india shutting down, we are switching count data to scrape the Ministry of Health and Family Welfare site and pull vaccine data from CoWIN. At this time, a suitable replacement for state-level test data.
This is a basic example which shows you how to solve a common problem:
# remotes::install_github("maxsal/covid19india", dependencies = TRUE)
library(covid19india)
# load data from covid19india.org -----------
nat_count <- get_nat_counts()
state_count <- get_state_counts()
state_tests <- get_state_tests()
state_vax <- get_state_vax()
# estimate r0 ----------
get_r0(nat_count)
get_r0(state_count)
- covid19india.org is ceasing to maintain their website at the end of October. We are currently seeking alternate data sources which will be integrated into the package for future use. Expected released with v0.1.5.
- Switching data sources in light of covid19india shutting down
NOW ON CRANA rebuild of the package with adata.table
backend. Improved performance on the order of 4x to 18x. Fewer dependencies. Removed dependencies on R 4.1+ and data.table development version 1.14.3 from earlier version of dev0.1.4.
- First CRAN submission! Find
covid19india
on CRAN @ https://cran.r-project.org/package=covid19india
- ➕ ADD
get_all_data()
function to pull state and national level time-series count, testing, and vaccine data - ➕ ADD
get_district_counts()
function to pull district-level time-series count data - 🔧 FIX
get_r0
function to handle different input variable names