Articles by Tim M. Schendzielorz

Deploying an R Shiny app on Heroku free tier

November 23, 2020 | Tim M. Schendzielorz

Continuous Deployment made easy with GitHub Actions and Heroku This article is a short guide on deploying a Shiny app on Heroku. Familiarity with Docker, Shiny and GitHub is presumed. For an introduction to Docker, see Deploying a Shiny Flexdashboard with Docker. This article was also published on https://www....
[Read more...]

Live data extraction with Cron and R

April 11, 2020 | Tim M. Schendzielorz

Learn how to schedule robust data extraction with Cron and Docker containers. The schema of the public live data set on Google Big Query we are going to extractThis article was also published on https://www.r-bloggers.com/. This is part two of a multi article series on building and ...
[Read more...]

Google Big Query with R

March 20, 2020 | Tim M. Schendzielorz

Lightning fast database querying with the R API.SourceWhat is Google Big Query?Big Query is a highly performant cloud data storage service which started in 2011. You can manage it inside the Google Cloud Console and query the storage with standard SQ...
[Read more...]

A guide to Data Transformation

January 15, 2020 | Tim M. Schendzielorz

Learn when and how to transform your variables for better insights.Photo by Arseny Togulev on UnsplashWhat is Data Transformation?Data Transformation in a statistics context means the application of a mathematical expression to each point in the data....
[Read more...]

Shiny Dashboards with Flexdashboard

January 11, 2020 | Tim M. Schendzielorz

Build beautiful dashboards rapidly. Example Flexdashboard. From shinyapps.ioThis is part one of a growing series on data reporting with micro services. For deploying web apps and this Flexdashboard in particular see part two, Deploying a Shiny Flexdashboard with Docker. For deploying dashboards at scale in production with a Shiny ...
[Read more...]

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)