An opinionated example for implementing logging in Plumber APIs - sol-eng/plumber-logging

An opinionated example for implementing logging in Plumber APIs - sol-eng/plumber-logging

plumber

Script modules are an easy way to package scripts and functions into a reusable tool.

You should create a personal access token to use in place of a password with the command line or with the API.

I have deployed shiny server with several shiny apps. Each app is used as online dashboard which should be refreshed periodically (e.g. every 2 hours or at 10pm every day) according to my plan. N...

Choosing the best cloud storage provider was never easier thanks to Cloudwards.net and this handy guide. We go over some of the biggest names in the industry (as well as some smaller ones) to get you the service that's the very best fit for you.

Powerful APIs and SaaS Applications for Developers and Businesses - Currency Conversion, IP Geolocation, Email Validation, Document Signing, and more.

Links and resources for Shiny, JavaScript, HTML, and CSS.

manage github lable automatically. Contribute to xavierchow/github-label-template development by creating an account on GitHub.

To facilitate the community in finding ways to contribute that match their experiences and skillsets, we have developed a comprehensive system for labelling issues and PRs. This is an introduction to this standard labelling scheme.

A specification for adding human and machine readable meaning to commit messages

We are creating a database and integrate persistent data storage in an R Shiny application with a remote MySQL database for free.

Discover the world with Google Maps. Experience Street View, 3D Mapping, turn-by-turn directions, indoor maps and more across your devices.

When using shiny in production, often you will want to have some sort of database interactions for storing and accessing data. The DBI package provides an easy way to do the database interactions with a variety of SQL database flavors. In this example, I’m going to use a SQLite ...

[Disclaimer] The package presented in this blog post is stillexperimental at the time of writing these lines (2021-02-28), so itmight face some API changes in the future.Yesterday Jacqueline’s tweeted about her need to add POST requests toa {shiny} application.I'm astounded that it doesn't seem like a Shiny app is able to acceptPOST requests. I have data I wanna pass to my server :/— Dr. Jacqueline Nolis (@skyetetra)February27, 2021This is actually one of the things I had in mind when building{brochure}: more flexibility with the HTTP requests and how they arehandled.So here is a working ex...

When using shiny in production, often you will want to have some sort of database interactions for storing and accessing data. The DBI package provides an easy way to do the database interactions with a variety of SQL database flavors. In this example, I’m going to use a SQLite in memory database for reproducibility. In practice, you will just switch to the code to use a persistent database. Let’s start by creating a table to right to.

In this guide you’ll find both original content and curated resources to: + Build R shiny apps from scratch + Select the optimal dashboard framework for your R shiny app dashboard + R packages to build interactive, professional quality data visualization + Improve the user experience and dashboard speed tricks + All the ways you can deploy and share R shiny app dashboards + Lessons from a dashboard veteran for better R shiny app dashboards

"R in Production " is a blog that talks about Security, Automation, Scalability in the R environment. Furthermore, Software Engineering teaches us proven methodologies to bring a prototype into production and to facilitate the work process in all its aspects. (Click on the title to read more ...)

Véritables outils de visualisation des données, les tables interactives permettent de trier, colorer, éditer, rechercher, paginer les données

In this guide you’ll find both original content and curated resources to: + Build R shiny apps from scratch + Select the optimal dashboard framework for your R shiny app dashboard + R packages to build interactive, professional quality data visualization + Improve the user experience and dashboard speed tricks + All the ways you can deploy and share R shiny app dashboards + Lessons from a dashboard veteran for better R shiny app dashboards

SQL. Contribute to Uppalapa/Database-Projects development by creating an account on GitHub.