Causal Inference, Data Analysis, Experiment, Data Science, Data Visualization.
positive, or a loss if the effect is negative. Usually, we are using experiments such as A/B testing to know the effect that will be made if we implement new treatments, so we could know beforehand, whether it will bring benefits or losses. For some reason such as expensive cost, no guarantee to