This workbook was built with Panopticon Designer 13.7.0 and is an example of the power in the combination of Panopticon and R. The workbook shows a combination of:
- k-means clustering in R
- the data wrangling possibilities in R
- parameters in Panopticon
- visualizations and GUI-controls in Panopticon
The result is a dashboard that lets the user apply k-means cluster analysis on any combination of numeric columns from a data set, while also controlling things like the number of clusters, the clustering algorithm to use, and more. The user sets all these preferences on-the-fly, and the new clusters are visualized immediately.
The solution is 100% data-driven, meaning that the spreadsheet used in this example can be replaced with any other spreadsheet that has at least 2 numeric columns, while keeping everything else in the R code and dashboard configuration as-is.
The workbook is a good example to learn from for beginners in R, or Panopticon, or both.