autnes-data-dashboard

Source code of the AUTNES Data Dashboard

https://github.com/thannenbaum/autnes-data-dashboard

Science Score: 44.0%

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  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
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  • Scientific vocabulary similarity
    Low similarity (11.2%) to scientific vocabulary
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Repository

Source code of the AUTNES Data Dashboard

Basic Info
  • Host: GitHub
  • Owner: thannenbaum
  • License: cc-by-4.0
  • Language: R
  • Default Branch: main
  • Size: 9.49 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created 10 months ago · Last pushed 8 months ago
Metadata Files
Readme License Citation

README.md

AUTNES Data Dashboard

This dashboard provides interactive visualizations of data from the AUTNES Online Panel Study. It allows users to explore various political variables over time, analyze mean values, and examine grouped mean values by demographic subgroups such as gender, age, and education level.

This is the R code package for executing the dashboard currently provided at http://131.130.71.40:3838/autnes/

Current Wave implemented: #24

Feedback or comments to: philipp.thannen@tuwien.ac.at or pthannen@ethz.ch.

Directory Structure

Your project directory should be organized as follows: - README.md (this file) - flex_dash.Rmd (the dashboard to execute) - data/ - dat_percentage.rds - dat_means.rds - dat_grouped.rds - dat_nodes.rds - dat_links.rds - mappings_variable_text.xlsx - AUTNES-Logo(darkred).png - mobile-warning.html - fa6.html

If you want to change the existing relative paths for data files and image (not needed for excuting in the current configuration and structure) adapt the setup chunk at the beginning of flex_dash.Rmd:

```

-----------------------------------------------------------------------------

Configuration - Adapt paths here! Adapt election dates here!

-----------------------------------------------------------------------------

AUTNES logo file

path_logo <- "data/AUTNES-Logo(darkred).png"

rds files

pathpercentage <- "data/datpercentage.rds" pathmeans <- "data/datmeans.rds" pathgrouped <- "data/datgrouped.rds" pathsankeynodes <- "data/datnodes.rds" pathsankeylinks <- "data/datlinks.rds" ```

Prerequisites

Before running the Dashboard locally, ensure you have the following:

  • R (version 4.0 or higher)
  • RStudio (optional but recommended locally)
  • The following R packages installed: r install.packages(c( "shiny", "ggplot2", "dplyr", "plotly", "base64enc", "flexdashboard", "RColorBrewer", "networkD3", "readxl" ))

Running the Dashboard locally

You can view the dashboard online or run the dashboard using RStudio or from the R console.

Option 1: RStudio

  1. Open flex_dash.Rmd in RStudio.
  2. Click the Run Document button at the top of the editor.
  3. The dashboard will compile and launch in your R or default web browser.

Option 2: R Console

  1. Open your terminal or command prompt.
  2. Navigate to the directory containing flex_dash.Rmd.
  3. Start R by typing R and pressing Enter.
  4. Run the following command: r rmarkdown::run("flex_dash.Rmd")

Owner

  • Name: Philipp von der Thannen
  • Login: thannenbaum
  • Kind: user

Citation (CITATION.cff)

cff-version: 1.1.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: "von der Thannen"
    given-names: "Philipp"
  - family-names: "Partheymüller"
    given-names: "Julia"
    orcid: "https://orcid.org/0000-0001-8302-1912"
  - family-names: "Kritzinger"
    given-names: "Sylvia"
    orcid: "https://orcid.org/0000-0003-2765-8200"
title: "AUTNES-Data-Dashboard"
version: 1.1.0
date-released: 2025-06-11
url: "https://github.com/thannenbaum/AUTNES-Data-Dashboard"
preferred-citation:
  type: article
  authors:
  - family-names: "von der Thannen"
    given-names: "Philipp"
  - family-names: "Partheymüller"
    given-names: "Julia"
    orcid: "https://orcid.org/0000-0001-8302-1912"
  - family-names: "Kritzinger"
    given-names: "Sylvia"
    orcid: "https://orcid.org/0000-0003-2765-8200"
  journal: "AUTNES Online Panel Study: Data Dashboard"
  title: "AUTNES-Data-Dashboard Code"
  year: 2025

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