Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
Note: Plotting is done with 90% accuracy expectation. Once all the 8 plots are generated and merged, a different PR will be raised if needed to take care of accuracy.
Horizontal bars showing percentage contribution of each predictor
Value labels aligned right on each bar showing absolute and percentage values
Bars sorted by contribution magnitude
Clean grid styling with light gray horizontal lines
Legend showing positive/negative signs above plot
Proper handling of baseline variables aggregation at specified level
Built for both standalone and subplot integration
Note: Plotting is done with 90% accuracy expectation. Once all the 8 plots are generated and merged, a different PR will be raised if needed to take care of accuracy.
Implement Response Decomposition Waterfall Plot Adds waterfall plot visualization to display decomposed response contributions:
Horizontal bars showing percentage contribution of each predictor Value labels aligned right on each bar showing absolute and percentage values Bars sorted by contribution magnitude Clean grid styling with light gray horizontal lines Legend showing positive/negative signs above plot Proper handling of baseline variables aggregation at specified level Built for both standalone and subplot integration
Testing:
Graph plotted by R code
TODO: Fix the label text formatting.