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1import pandas as pd2import matplotlib.pyplot as plt3import numpy as np45df = pd.read_csv("experiment.csv")6df = df.dropna(subset=["Score"])7df["Score"] = pd.to_numeric(df["Score"])89grouped = df.groupby("Group")["Score"]10means = grouped.mean()11sems = grouped.sem()1213fig, ax = plt.subplots(figsize=(8, 5))14colors = ["#4E79A7", "#F28E2B", "#E15759", "#76B7B2"]15bars = ax.bar(means.index, means.values,16 yerr=sems.values, capsize=4,17 color=colors, edgecolor="white")1819ax.set_ylabel("Score (mean ± SEM)", fontsize=11)20ax.set_title("Treatment Response by Group",21 fontsize=13, fontweight="bold")22ax.spines["top"].set_visible(False)23ax.spines["right"].set_visible(False)24ax.set_ylim(0, 100)2526plt.tight_layout()27plt.savefig("figure1.png", dpi=300,28 bbox_inches="tight")29plt.show()
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