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https://github.com/INWTlab/ecom-analytics
Shiny-Dashboard show case for ecommerce analytics
https://github.com/INWTlab/ecom-analytics
Last synced: 9 days ago
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Shiny-Dashboard show case for ecommerce analytics
- Host: GitHub
- URL: https://github.com/INWTlab/ecom-analytics
- Owner: INWTlab
- License: other
- Created: 2019-02-25T10:29:26.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2019-09-09T08:52:03.000Z (over 5 years ago)
- Last Synced: 2024-08-13T07:15:06.734Z (4 months ago)
- Language: R
- Size: 10.2 MB
- Stars: 22
- Watchers: 9
- Forks: 19
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- jimsghstars - INWTlab/ecom-analytics - Shiny-Dashboard show case for ecommerce analytics (R)
README
## ecom-analytics: A Best Practice Example for Developing Shiny Dashboards as R Packages
This package shows an example of INWT's best practices for structuring shiny dashboards as r packages.
The here provided code backs up INWT's preffered structure and workflow, when developing shiny apps. The accompanying blog article ["Best Practice: Development of Robust Shiny Dashboards as R Packages"](https://www.inwt-statistics.com/read-blog/best-practice-development-of-robust-shiny-dashboards-as-r-packages.html) provides extensive explanation on this matter.
## Installation and Usage
The ecom-analytics package can be downloaded and installed by running the following
command from the R console:
```
devtools::install_github("INWTlab/ecom-analytics")
```
Afer downloading the package, it can be loaded with the `library()` command:
```
library(ecomAnalytics)
```
The shiny app can be started e.g. by running the following command:
```
shiny::runApp('inst/app')
```
## Feedback
The focus of this package is to provide a show case for a well-structured and roboust shiny app.
If you would like to suggest improvements regarding best practices on building shiny dashboards as r packages, please open an issue or create a pull request.