https://github.com/cimentadaj/demographydash

Shiny Dashboard for Demographic projections in the UN
https://github.com/cimentadaj/demographydash

Last synced: 5 days ago
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Shiny Dashboard for Demographic projections in the UN

• Host: GitHub
• URL: https://github.com/cimentadaj/demographydash
• Owner: cimentadaj
• License: other
• Created: 2023-09-22T08:49:17.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-06T09:40:21.000Z (8 days ago)
• Last Synced: 2024-11-06T10:51:20.913Z (8 days ago)
• Language: R
• Size: 419 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.Rmd
  • Changelog: NEWS.md
  • License: LICENSE

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# demographydash

[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)

This package aims to create a shiny web app to make demographic analysis available to users which are not familiar with R. The web application allows to download WPP data and make demographic projections.

## Installation

You can install the development version of demographydash from [GitHub](https://github.com/) with:

``` r

# install.packages("devtools")

devtools::install_github("cimentadaj/demographydash")

```

## How to launch the app

To launch the app locally, run:

```{r example, eval = FALSE}

library(demographydash)

run_app()

```

To launch the app through docker run this in the terminal at the root of the repository:

```{bash, eval = FALSE}

PORT=8180

docker build -t proj-app --build-arg PORT=$PORT .

docker run -p $PORT:$PORT -e PORT=$PORT -d proj-app

```

And test the app in [http://localhost:8180](http://localhost:8180).,

## Brief explanation

The app is composed of several modules. Here's a one line for each module so it's easier to understand:

```

R/

├── app_displays.R # All plots / tables in the app have a function that produces it here

├── app_forecast.R # Functions related to running the forecast

├── app_handles.R # handle_* functions control aspects of the app (navigation, customization, etc..)

├── app_show.R # show_* functions render different UI pages of the app

├── app_server.R # The server-side logic

├── app_ui.R # UI logic of the app

├── app_config.R

├── _disable_autoload.R

├── run_app.R

└── utils-pipe.R

```