diff --git a/meosyam/docs/data/1/phonebook.py b/meosyam/docs/data/1/phonebook.py
index e16dd5c..da959eb 100644
--- a/meosyam/docs/data/1/phonebook.py
+++ b/meosyam/docs/data/1/phonebook.py
@@ -1,3 +1,9 @@
+import random
+import time
+import csv
+import sys
+sys.setrecursionlimit(20000)
+
 def ll_insert(head, name, phone):
     cur = head
     while cur:
@@ -46,7 +52,7 @@ def ll_list_all(head):
     res.sort(key=lambda x: x[0])
     return res
 
-SIZE = 5
+SIZE = 10
 
 def hash_func(name):
     s = 0
@@ -144,9 +150,6 @@ def bst_list_all(root):
     inorder(root)
     return res
 
-import random, time, csv, sys
-sys.setrecursionlimit(20000)
-
 def generate_records(n, seed=42):
     random.seed(seed)
     rec = []
@@ -162,7 +165,7 @@ def prepare_datasets(base):
     sorted_rec = sorted(base, key=lambda x: x[0])
     return shuffled, sorted_rec
 
-def run_experiment(funcs, records, mode, repeats=3):
+def run_experiment(funcs, records, mode, repeats=5):
     results = []
     for rep in range(repeats):
         struct = funcs['create']()
@@ -170,39 +173,42 @@ def run_experiment(funcs, records, mode, repeats=3):
         for name, phone in records:
             struct = funcs['insert'](struct, name, phone)
         t1 = time.perf_counter()
-        ins = t1 - t0
+        insert_time = t1 - t0
+
         existing = [n for n, _ in records]
-        sample = random.sample(existing, 100)
-        non_ex = [f"None_{i}" for i in range(10)]
-        to_search = sample + non_ex
-        random.shuffle(to_search)
+        sample_existing = random.sample(existing, 100)
+        non_existing = [f"None_{i}" for i in range(10)]
+        search_names = sample_existing + non_existing
+        random.shuffle(search_names)
         t0 = time.perf_counter()
-        for name in to_search:
+        for name in search_names:
             _ = funcs['find'](struct, name)
         t1 = time.perf_counter()
-        find_t = t1 - t0
-        to_del = random.sample(existing, 10)
+        search_time = t1 - t0
+
+        to_delete = random.sample(existing, 50)
         t0 = time.perf_counter()
-        for name in to_del:
+        for name in to_delete:
             struct = funcs['delete'](struct, name)
         t1 = time.perf_counter()
-        del_t = t1 - t0
+        delete_time = t1 - t0
+
         results.append({
             'structure': funcs['name'],
             'mode': mode,
-            'rep': rep+1,
-            'insert': ins,
-            'search': find_t,
-            'delete': del_t
+            'repetition': rep+1,
+            'insert': insert_time,
+            'search': search_time,
+            'delete': delete_time
         })
     return results
 
 def main():
     N = 1000
-    base = generate_records(N)
-    shuffled, sorted_rec = prepare_datasets(base)
+    base_records = generate_records(N)
+    shuffled, sorted_records = prepare_datasets(base_records)
 
-    structs = {
+    structures = {
         'LinkedList': {
             'name': 'LinkedList',
             'create': lambda: None,
@@ -229,20 +235,27 @@ def main():
         }
     }
 
-    all_res = []
-    for name, funcs in structs.items():
-        print(f"Testing {name} random...")
-        all_res += run_experiment(funcs, shuffled, 'random')
-        print(f"Testing {name} sorted...")
-        all_res += run_experiment(funcs, sorted_rec, 'sorted')
+    all_results = []
+    for name, funcs in structures.items():
+        print(f"Testing {name} on random order...")
+        all_results.extend(run_experiment(funcs, shuffled, 'random'))
+        print(f"Testing {name} on sorted order...")
+        all_results.extend(run_experiment(funcs, sorted_records, 'sorted'))
 
     with open('results.csv', 'w', newline='', encoding='utf-8') as f:
         writer = csv.writer(f)
-        writer.writerow(['Structure','Mode','Repeat','Insert','Search','Delete'])
-        for r in all_res:
-            writer.writerow([r['structure'], r['mode'], r['rep'],
-                             f"{r['insert']:.6f}", f"{r['search']:.6f}", f"{r['delete']:.6f}"])
-    print("Done. Results in results.csv")
+        writer.writerow(['Structure', 'Mode', 'Repetition', 'Insert (sec)', 'Search (sec)', 'Delete (sec)'])
+        for r in all_results:
+            writer.writerow([
+                r['structure'],
+                r['mode'],
+                r['repetition'],
+                f"{r['insert']:.6f}",
+                f"{r['search']:.6f}",
+                f"{r['delete']:.6f}"
+            ])
+
+    print("Experiment finished. Results saved to esults.csv")
 
 if __name__ == '__main__':
     main()
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