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.
The app runs online at https://utrecht-university.shinyapps.io/empathy-viz/.
The app has three parts:
Background information of the participant including gender, age and survey code are provided in this section.
Questionnaire starts with a basic description of the survey, followed by six question, each with three subquestions.
At the end of the questionnaire, the results of the survey can be downloaded.
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:
If you would like to modify the app and run locally, please follow the following steps:
data/introduction.csv
- Text in the introduction page, explaining the survey to the participantdata/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 pagedata/guideline_vis.csv
- A short explanation of how to use visualization
- Clone repository OR download repository (Code --> Download as ZIP)
- Start RStudio and navigate to the folder
- Click on run app
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 file for more information on issues and pull requests.
The code in this project is released under GNU Affero General Public License.
Dynamiek in Beeld is project by Dr. Minet de Wied (m.dewied@uu.nl). The technical implementation is provided by the ODISSEI Social Data Science (SoDa) team. The project welcomes feedback, (scientific) collaboration, and (technical) integration.
Project Link: https://github.com/sodascience/empathy-viz