https://github.com/misslivirose/r-github-dashboard

A simple R dashboard for viewing GitHub projects of interest
https://github.com/misslivirose/r-github-dashboard

data-dashboard r shiny-apps

Last synced: 8 months ago
JSON representation

A simple R dashboard for viewing GitHub projects of interest

• Host: GitHub
• URL: https://github.com/misslivirose/r-github-dashboard
• Owner: misslivirose
• License: mpl-2.0
• Created: 2024-10-30T15:29:30.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-01-14T20:51:55.000Z (over 1 year ago)
• Last Synced: 2025-10-11T13:21:52.514Z (8 months ago)
• Topics: data-dashboard, r, shiny-apps
• Language: R
• Homepage: https://misslivirose.shinyapps.io/r-github-dashboard/
• Size: 149 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# GitHub Data Dashboard

The GitHub Data Dashboard makes it easy to quickly create a dashboard application to view open source projects hosted on GitHub. View repositories of interest at a glance and get new insights from the projects with visual plots and graphs.

![A preview of the dashboard, showing selected metrics from an assortment of GitHub projects](img/preview)

## Data

The dashboard is populated with a SQLite database called `projects.sqlite`. The schema for the database is: 

```

CREATE TABLE projects (

  project_name text, 

  repository text,

  tag text,

  year integer,

  description text,

  date_added text 

);

CREATE TABLE metrics (

  project_name text,

  snapshot_date text, 

  stars integer,

  forks integer,

  contributors integer,

  issues integer

);

```

## Dependencies

This project uses R and Shiny to run and assumes the following dependencies:

-   R, version 4.4.0+

-   R Studio - tested with RStudio 2024.12.0 

-   Required R Packages: `install.packages(c('shiny', 'rvest', 'reactable', 'shinythemes', 'stringr', 'ggplot2', 'bslib', 'scales', 'dplyr', 'RSQlite', 'DBI'))`

## Running the app

To run the application:

1.  Clone the GitHub project to your local machine after installing dependencies

2.  Create your `projects.sqlite` file and put it into the repository at the root level

3.  Populate `projects.sqlite` table `projects` with the name, repository (/), and additional tag, year, and date_added. The description field is pulled from GitHub.

4.  Open `app.R` in R Studio

5.  Use `CTRL` + `SHIFT` + `ENTER` to generate the dashboard and display it in the R Studio viewer