Data Science, Product Analytics, Ab Testing, Simulation, Deep Dives.
10000, 25000]: print('Simulation for sample size = %d' % sample_size) tmp_dfs.append( run_simulations_for_value(before_df, sample_size = sample_size, effect_size = 20, boot_iters = 1000, confidence_level = 0.95, num_simulations = 20) ) val_lowres_sim_df = pd.concat(tmp_dfs) We got results similar