diff --git a/SavelevMI/docs/data/1-st-exersize/plot_results.py b/SavelevMI/docs/data/1-st-exersize/plot_results.py
new file mode 100644
index 0000000..809a770
--- /dev/null
+++ b/SavelevMI/docs/data/1-st-exersize/plot_results.py
@@ -0,0 +1,43 @@
+# Загружает CSV с результатами и строит столбчатую диаграмму сравнения
+
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+
+def main():
+    df = pd.read_csv('experiment_results.csv')
+
+    mean_times = df.groupby(['Structure', 'Mode'])[['Insert (sec)', 'Search (sec)', 'Delete (sec)']].mean().reset_index()
+
+    structures = mean_times['Structure'].unique()
+    operations = ['Insert (sec)', 'Search (sec)', 'Delete (sec)']
+    titles = ['Insertion', 'Search', 'Deletion']
+
+    fig, axes = plt.subplots(1, 3, figsize=(15, 5))
+
+    for ax, op, title in zip(axes, operations, titles):
+        x = np.arange(len(structures))
+        width = 0.35
+
+        random_vals = []
+        sorted_vals = []
+        for s in structures:
+            rand = mean_times[(mean_times['Structure'] == s) & (mean_times['Mode'] == 'random')]
+            sort = mean_times[(mean_times['Structure'] == s) & (mean_times['Mode'] == 'sorted')]
+            random_vals.append(rand[op].values[0] if not rand.empty else 0)
+            sorted_vals.append(sort[op].values[0] if not sort.empty else 0)
+
+        ax.bar(x - width/2, random_vals, width, label='Random order')
+        ax.bar(x + width/2, sorted_vals, width, label='Sorted order')
+        ax.set_xticks(x)
+        ax.set_xticklabels(structures)
+        ax.set_ylabel('Time (seconds)')
+        ax.set_title(title)
+        ax.legend()
+
+    plt.tight_layout()
+    plt.savefig('performance_comparison.png', dpi=150)
+    plt.show()
+
+if __name__ == '__main__':
+    main()
\ No newline at end of file