Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/sodascience/empathy-viz
An application to be used in a clinical setting to score dynamics in empathy
https://github.com/sodascience/empathy-viz
data-visualization empathy r shiny-apps survey
Last synced: about 1 month ago
JSON representation
An application to be used in a clinical setting to score dynamics in empathy
- Host: GitHub
- URL: https://github.com/sodascience/empathy-viz
- Owner: sodascience
- License: agpl-3.0
- Created: 2021-10-21T14:12:48.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2024-07-16T08:38:43.000Z (6 months ago)
- Last Synced: 2024-07-16T10:40:59.544Z (6 months ago)
- Topics: data-visualization, empathy, r, shiny-apps, survey
- Language: R
- Homepage:
- Size: 7.79 MB
- Stars: 0
- Watchers: 5
- Forks: 1
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Dynamiek in beeld
[![DOI](https://zenodo.org/badge/419750917.svg)](https://zenodo.org/doi/10.5281/zenodo.10684089)Application to be used in a clinical setting to understand empathy. The application allows clinician to conduct a survey and immediately visualize the results. No data is stored in the RShiny server.
## Usage
The app runs online at https://utrecht-university.shinyapps.io/empathy-viz/.
The app has three parts:
### Input
Background information of the participant including gender, age and survey code are provided in this section.### Questionnaire
Questionnaire starts with a basic description of the survey, followed by six question, each with three subquestions.
![Questions](man/resources/screenshot_question.png)At the end of the questionnaire, the results of the survey can be downloaded.
### Visualization
Start with selecting the datasource. There is possibility to visualize the current survey or upload existing results saved in .csv format.
Visualization is available in three styles:
## Adapting the survey with new questions
If you would like to modify the app and run locally, please follow the following steps:
### Set up survey
- `data/introduction.csv` - Text in the introduction page, explaining the survey to the participant
- `data/vignettes.csv` - ID of the questions, title, description, and attached figure (to be displayed in the left)
- `data/relationships.csv - Each vignette is described for two more types of relationships, i.e. stranger and foe.
- `data/RadioMatrixFrame.csv` - Scales associated (see image above)
- `data/ending.csv` - Text in the last page
- `data/guideline_vis.csv` - A short explanation of how to use visualization### Run code
- Clone repository OR download repository (Code --> Download as ZIP)
- Start RStudio and navigate to the folder
- Click on run app### Built with
- [shiny1.7.1](https://shiny.rstudio.com)
## Contributing
Contributions are what make the open source community an amazing place
to learn, inspire, and create. Any contributions you make are **greatly
appreciated**.Please refer to the
[CONTRIBUTING](https://github.com/sodascience/osmenrich/blob/main/CONTRIBUTING.md)
file for more information on issues and pull requests.### License
The code in this project is released under [GNU Affero General Public License](LICENSE).
## Contact
**Dynamiek in Beeld** is project by [Dr. Minet de Wied](https://www.uu.nl/medewerkers/mdewied) ([email protected]).
The technical implementation is provided by the [ODISSEI Social Data
Science (SoDa)](https://odissei-data.nl/nl/soda/) team. The project welcomes feedback,
(scientific) collaboration, and (technical) integration.Project Link: [https://github.com/sodascience/empathy-viz](https://github.com/sodascience/empathy-viz)