diff --git a/statistics/statistics.py b/statistics/statistics.py
index cbbe86c..eac2a96 100644
--- a/statistics/statistics.py
+++ b/statistics/statistics.py
@@ -1,6 +1,7 @@
 from datetime import datetime
 import json
 from typing import Dict
+from xmlrpc.client import Boolean
 
 import matplotlib.pyplot as plt
 
@@ -15,7 +16,8 @@ with open(FILE_PATH, "r") as file:
 
 
 def parse_log_entry(entry: Dict) -> Dict:
-    if entry["countChange"] == 0:
+    # Only keep last record of a sequence
+    if not is_last_in_sequence(entry):
         return False
 
     entry["dateTime"] = datetime.strptime(
@@ -26,13 +28,31 @@ def parse_log_entry(entry: Dict) -> Dict:
     return entry
 
 
+def is_last_in_sequence(entry: Dict) -> Boolean:
+    indoor = entry["directionState"]["indoor"]
+    outdoor = entry["directionState"]["outdoor"]
+    
+    if len(indoor) <= 0 or len(outdoor) <= 0:
+        return False
+    
+    end_key = "end_distance"
+    # Check version
+    if end_key not in indoor[-1]:
+        end_key = "end"
+    
+    if indoor[-1][end_key] is None or outdoor[-1][end_key] is None:
+        return False
+
+    return True
+
+
 # Collect
 log = [json.loads(line.strip("\x00")) for line in content]
-print("Number of entries:", len(log))
+print("Number of total entries:", len(log))
 
 # Parse & Filter
 log = [parse_log_entry(entry) for entry in log if parse_log_entry(entry)]
-print("Number of counts:", len(log))
+print("Number of filtered entries:", len(log))
 
 # Render
 fig, ax = plt.subplots()  # Create a figure containing a single axes.
@@ -40,6 +60,17 @@ times: list[datetime] = [entry["dateTime"] for entry in log]
 counts: list[int] = [entry["previousPeopleCount"] for entry in log]
 ax.step(times, counts, where="pre")
 plt.show()
+print("-"*20)
+
+
+# Print stats
+walk_ins = [entry for entry in log if entry["countChange"] > 0]
+walk_outs = [entry for entry in log if entry["countChange"] < 0]
+walk_unders = [entry for entry in log if entry["countChange"] == 0]
+print("Number of walk-ins:", len(walk_ins))
+print("Number of walk-outs:", len(walk_outs))
+print("Number of walk-unders:", len(walk_unders))
+print("-"*20)
 
 # Calculate faults
 for c, n in zip(list(range(len(log))), list(range(len(log)))[1:]):
@@ -52,7 +83,7 @@ for c, n in zip(list(range(len(log))), list(range(len(log)))[1:]):
 log = log[:-1]
 fault_count = sum(1 for entry in log if entry["faulty"])
 print("Number of faults:", fault_count)
-print("Percentage of faults:", fault_count / len(log) * 100)
+print("Percentage of faults:", fault_count / len(log) * 100, "%")
 
 print("-"*20)
 faulty_off = [entry for entry in log if entry["faulty"]
@@ -61,5 +92,5 @@ faulty_on = [entry for entry in log if entry["faulty"]
              and entry["faultyCount"] != 0]
 print("Number of false-0:", len(faulty_off))
 print("Number of false-1:", len(faulty_on))
-print("Percentage of false-0:", len(faulty_off) / fault_count * 100)
-print("Percentage of false-1:", len(faulty_on) / fault_count * 100)
+print("Percentage of false-0:", len(faulty_off) / fault_count * 100, "%")
+print("Percentage of false-1:", len(faulty_on) / fault_count * 100, "%")