Data Analysis and Visualisation practicals
Here you can find all information and files for the practicals of the elective master’s course Data Analysis and Visualisation at Utrecht University (course code 201600038 in Osiris).
Download the practicals folder
| # | Name | Link | Hand in? |
|---|---|---|---|
| 00 | Prerequisites | link | No |
| 01 | R basics for DAV | link | No |
| 02 | Data manipulation & EDA | link | Yes |
| 03 | Data Visualisation using ggplot2 | link | Yes |
| 04 | Assignment EDA | link | Yes |
| 05 | Supervised learning: Regression 1 | link | Yes |
| 06 | Supervised learning: Regression 2 | link | Yes |
| 07 | Supervised learning: Classification 1 | link | Yes |
| 08 | Supervised learning: Classification 2 | link | Yes |
| 09 | Supervised learning: Regression 3 | link | Yes |
| 10 | Assignment Prediction Model | link | Yes |
| 11 | Unsupervised learning: PCA & Correspondence Analysis | link | Yes |
| 12 | Unsupervised learning: Clustering | link | Yes |