Welcome to the vusaverse, the GitHub organization of VU Education Analytics, dedicated to data analytics at Vrije Universiteit Amsterdam. Our team specializes in leveraging student data to enhance educational outcomes and insights.
We are a passionate data team focused on educational analytics. We work closely with student data to develop innovative solutions that support learning and teaching at Vrije Universiteit Amsterdam. Our projects include:
- Data Pipelines: Efficiently processing and managing large datasets.
- canvas-analytics; pipeline of Canvas LMS
- evalytics; pipeline for evluation data
- R Packages: Creating reusable code for data analysis and visualization.
- vvauditor; data audits (CRAN)
- vvcanvas; Canvas LMS api (CRAN)
- vvconverter; data convertions (CRAN)
- vvfiller; fill data (CRAN)
- vvmover; read write data (CRAN)
- vvprojector; setup projects
- vvsculptor; models and joins (CRAN)
- vvshiny; build shiny apps with templates (CRAN)
- vvtableau; Tableau api (CRAN)
- vvtermtime; Semestry TermTime api (CRAN)
- R Shiny Apps: Developing interactive web applications for data exploration.
- vvdoctor; Statistics shiny app (CRAN)
- Machine Learning Models: Implementing predictive analytics to drive insights from educational data.
- conversion_model; conversion of students
- Other repositories
- docker-rocker; Dockerized RStudio instance
- data_asset_catalog; data assets
- snippets; rstudio snippets
- vusaverse.github.io; website built in Quarto
We welcome contributions from the community! If you're interested in collaborating with us, please consider the following:
- Fork the Repository: Start by forking the repository you want to contribute to.
- Create a Feature Branch: Use a descriptive name for your branch.
- Make Your Changes: Implement your feature or fix.
- Submit a Pull Request: Once you're ready, submit a pull request detailing your changes.
