I run variable importance on my Panel data (TV viewing over specific period) which consists of the old-Panel (Panel 0) and the new panel (Panel 1)
I am interested in understanding the differences in viewing based on the panel, as well as demographics like region. I used Avg daily total viewing in minutes as target variable and select age_group, region and big cities as predictor variables in R ( group by/repeat by panel ( 0 and 1) )
I visualized the result in R , in each chart’s Y-Axis is the prediction probability, X-Axis shows each variable’s values. How can we interpret the outcome to turn it to actionable insight?