diff --git a/.vscode/settings.json b/.vscode/settings.json
new file mode 100644
index 0000000..f0064cb
--- /dev/null
+++ b/.vscode/settings.json
@@ -0,0 +1,11 @@
+{
+    "python.testing.unittestArgs": [
+        "-v",
+        "-s",
+        ".",
+        "-p",
+        "*test*.py"
+    ],
+    "python.testing.pytestEnabled": false,
+    "python.testing.unittestEnabled": true
+}
\ No newline at end of file
diff --git a/__pycache__/analytics.cpython-313.pyc b/__pycache__/analytics.cpython-313.pyc
new file mode 100644
index 0000000..3226b1d
Binary files /dev/null and b/__pycache__/analytics.cpython-313.pyc differ
diff --git a/__pycache__/test_analytics.cpython-313.pyc b/__pycache__/test_analytics.cpython-313.pyc
new file mode 100644
index 0000000..0c26a39
Binary files /dev/null and b/__pycache__/test_analytics.cpython-313.pyc differ
diff --git a/analytics.py b/analytics.py
index 8acadc8..179a525 100644
--- a/analytics.py
+++ b/analytics.py
@@ -1,3 +1,4 @@
+import statistics
 # ==========================================
 # SECTION A: LIST PROCESSING
 # ==========================================
@@ -17,9 +18,12 @@ def filter_sales_above_threshold(sales: list, threshold: int):
     - Use a loop or list comprehension
     """
     # TODO: Write your code here
-    pass
-
-
+    new_list = []
+    for i in sales:
+        if i >= threshold:
+            new_list.append(i)
+    return new_list
+# print(filter_sales_above_threshold([100, 250, 75, 300], 150))
 def count_product_codes(codes: list, prefix: str):
     """
     QUESTION 2
@@ -33,7 +37,13 @@ def count_product_codes(codes: list, prefix: str):
     - Return 0 if no matches found
     """
     # TODO: Write your code here
-    pass
+    count = 0
+    for code in codes:
+        code = str(code)
+        if code.startswith(prefix):
+            count += 1
+    return count
+# print(count_product_codes(["PROD-001", "PROD-002", "SERV-001"], "PROD"))
 
 
 def calculate_moving_average(numbers: list, window_size: int):
@@ -51,7 +61,13 @@ def calculate_moving_average(numbers: list, window_size: int):
     - Return 0.0 for empty list
     """
     # TODO: Write your code here
-    pass
+    if numbers == []:
+        return float(0)
+
+    new = numbers[-window_size:]
+
+    return float(statistics.mean(new))
+# print(calculate_moving_average([], 3))
 
 
 # ==========================================
@@ -72,8 +88,25 @@ def get_top_seller(sales_data: dict):
     - If there's a tie, return the name that appears first alphabetically
     """
     # TODO: Write your code here
-    pass
+    if sales_data == {}:
+        return "No Data"
+    sales = []
+    length = len(sales_data.keys())
+    sales =(sorted(sales_data.values()))
+    print(sales)
+    names = sorted(sales_data.keys())
+    if len(names) == 1:
+        return names[0]
+    if sales[0] == sales[1]:
+        return names[0]
 
+    for name, sale in sales_data.items():
+        if sale == sales[-1]:
+            return name
+    return name
+
+        
+print(get_top_seller({"Alice": 5000, "Bob": 7500, "Carol": 6000}))
 
 def merge_inventory(warehouse_a: dict, warehouse_b: dict):
     """
@@ -93,7 +126,15 @@ def merge_inventory(warehouse_a: dict, warehouse_b: dict):
     - Do NOT modify the original dictionaries
     """
     # TODO: Write your code here
-    pass
+    new = {}
+    for key, value in warehouse_a.items():
+        for key1, value1 in warehouse_b.items():
+            if key == key1:
+                nv = value+  value1
+    return new[k]
+warehouse_a = {"PROD-001": 50, "PROD-002": 30}
+warehouse_b = {"PROD-002": 20, "PROD-003": 40}
+print(merge_inventory(warehouse_a,warehouse_b))
 
 
 # ==========================================