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Recent Posts

  • Introduction to Bayesian Multiple Imputation with the rblimp package workshop
  • 2026 Rousseeuw Prize for Statistics Awarded to R Core Team for Transforming Statistics Computing Worldwide
  • {talib}: Interactive financial charts
  • Announcing shiny.webawesome: a web UI package for R/Shiny
  • RStudio AI That Doesn’t Cost a Penny: llmcoder vs. Posit AI Assistant

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  • Data Splitting and Cross-Validation in R – Curated SQL on Setting Up Cross-Validation (caret package) in R: A Step-by-Step Guide
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  • Shinylive: Adding Shiny Applications to Static Pages | Qubixity.net on Add shiny in quarto blog with shinylive
  • Lauren on Creating Standalone Apps from Shiny with Electron [2023, macOS M1]

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RSS R-bloggers

  • Repost: Automatically compile Quarto reports when new data lands
  • Eruption: announcing new R package VolcanoPlotR
  • From Peer Review to Mentorship: My rOpenSci Story
  • My last R posts: How conformalization helps weak models, fast conformal prediction with jackknife+ (and no refitting), and sklearn in R
  • Tabler Server A minimal framework to create web dashboards in R
  • Testing racial predictions with BISG
  • Instacart is running fixed effect regressions with PyFixest!
  • {golem} 1.0.0 is here
  • How to Put your Course Book Online
  • SummaryTables: Publication-Ready Summary Tables for jamovi

Author: Firas Fneish

Covid-19 shinyapp

The data displayed by this shinyapp is taken from Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE). The raw data is available on {Github}. The data is updated on daily basis.
If any further information is needed regarding the data and the application then feel free to send an email to: [email protected]

Posted on December 25, 2020December 26, 2020Author Firas FneishLeave a comment on Covid-19 shinyapp
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