Michael Mayer analyzes candidate models:
Since almost all plots in flashlight are constructed with
ggplot, it is super easy to turn them into interactive plotly objects: just add a simple
ggplotly()to the end of the call.
However… it is not straightforward to show interactive plots in a blog! Thus, we show only screenshots of the resulting plots here and refer to the complete HTML report here: https://mayer79.github.io/flashlight_plotly/flashlight_plotly.html
We will use a sweet dataset with more than 20’000 houses to model house prices by a set of derived features such as the logarithmic living area. The location will be represented by the postal code.
Click through for the blog post or check out the report.