diff --git a/src/phoenix/datasets/fixtures.py b/src/phoenix/datasets/fixtures.py
index bbfec448bb..898d54305b 100644
--- a/src/phoenix/datasets/fixtures.py
+++ b/src/phoenix/datasets/fixtures.py
@@ -21,7 +21,7 @@ class Fixture:
     reference_schema: Schema
 
 
-FIXTURE_URL_PREFIX = "https://storage.googleapis.com/arize-assets/phoenix/datasets/"
+FIXTURE_URL_PREFIX = "http://storage.googleapis.com/arize-assets/phoenix/datasets/"
 
 sentiment_classification_language_drift_schema = Schema(
     timestamp_column_name="prediction_ts",
diff --git a/src/phoenix/metrics/metrics.py b/src/phoenix/metrics/metrics.py
index 192cd8a623..440fd4976a 100644
--- a/src/phoenix/metrics/metrics.py
+++ b/src/phoenix/metrics/metrics.py
@@ -59,7 +59,7 @@ class Mean(UnaryOperator, BaseMetric):
     def calc(self, dataframe: pd.DataFrame) -> float:
         data = self.get_operand_column(dataframe)
         numeric_data = pd.to_numeric(data, errors="coerce")
-        return numeric_data.mean()
+        return cast(float, numeric_data.mean())
 
 
 @dataclass
@@ -100,7 +100,7 @@ def calc(self, dataframe: pd.DataFrame) -> float:
 class PercentEmpty(UnaryOperator, BaseMetric):
     def calc(self, dataframe: pd.DataFrame) -> float:
         data = self.get_operand_column(dataframe)
-        return data.isna().mean() * 100
+        return cast(float, data.isna().mean() * 100)
 
 
 @dataclass
diff --git a/tutorials/credit_card_fraud_tutorial.ipynb b/tutorials/credit_card_fraud_tutorial.ipynb
index 01b1fcd88e..899844eb89 100644
--- a/tutorials/credit_card_fraud_tutorial.ipynb
+++ b/tutorials/credit_card_fraud_tutorial.ipynb
@@ -62,10 +62,10 @@
    "outputs": [],
    "source": [
     "train_df = pd.read_parquet(\n",
-    "    \"https://storage.googleapis.com/arize-assets/phoenix/datasets/structured/credit-card-fraud/credit_card_fraud_train.parquet\",\n",
+    "    \"http://storage.googleapis.com/arize-assets/phoenix/datasets/structured/credit-card-fraud/credit_card_fraud_train.parquet\",\n",
     ")\n",
     "prod_df = pd.read_parquet(\n",
-    "    \"https://storage.googleapis.com/arize-assets/phoenix/datasets/structured/credit-card-fraud/credit_card_fraud_production.parquet\",\n",
+    "    \"http://storage.googleapis.com/arize-assets/phoenix/datasets/structured/credit-card-fraud/credit_card_fraud_production.parquet\",\n",
     ")\n",
     "train_df.head()"
    ]
diff --git a/tutorials/image_classification_tutorial.ipynb b/tutorials/image_classification_tutorial.ipynb
index 7feae26a74..c464fd3d16 100644
--- a/tutorials/image_classification_tutorial.ipynb
+++ b/tutorials/image_classification_tutorial.ipynb
@@ -78,10 +78,10 @@
    "outputs": [],
    "source": [
     "train_df = pd.read_parquet(\n",
-    "    \"https://storage.googleapis.com/arize-assets/phoenix/datasets/unstructured/cv/human-actions/human_actions_training.parquet\"\n",
+    "    \"http://storage.googleapis.com/arize-assets/phoenix/datasets/unstructured/cv/human-actions/human_actions_training.parquet\"\n",
     ")\n",
     "prod_df = pd.read_parquet(\n",
-    "    \"https://storage.googleapis.com/arize-assets/phoenix/datasets/unstructured/cv/human-actions/human_actions_production.parquet\"\n",
+    "    \"http://storage.googleapis.com/arize-assets/phoenix/datasets/unstructured/cv/human-actions/human_actions_production.parquet\"\n",
     ")"
    ]
   },
diff --git a/tutorials/quickstart.ipynb b/tutorials/quickstart.ipynb
index b81847cd2f..56b6768bde 100644
--- a/tutorials/quickstart.ipynb
+++ b/tutorials/quickstart.ipynb
@@ -68,10 +68,10 @@
    "outputs": [],
    "source": [
     "train_df = pd.read_parquet(\n",
-    "    \"https://storage.googleapis.com/arize-assets/phoenix/datasets/unstructured/cv/human-actions/human_actions_training.parquet\"\n",
+    "    \"http://storage.googleapis.com/arize-assets/phoenix/datasets/unstructured/cv/human-actions/human_actions_training.parquet\"\n",
     ")\n",
     "prod_df = pd.read_parquet(\n",
-    "    \"https://storage.googleapis.com/arize-assets/phoenix/datasets/unstructured/cv/human-actions/human_actions_production.parquet\"\n",
+    "    \"http://storage.googleapis.com/arize-assets/phoenix/datasets/unstructured/cv/human-actions/human_actions_production.parquet\"\n",
     ")"
    ]
   },
diff --git a/tutorials/sentiment_classification_tutorial.ipynb b/tutorials/sentiment_classification_tutorial.ipynb
index af7ffbc827..ccb1a16843 100644
--- a/tutorials/sentiment_classification_tutorial.ipynb
+++ b/tutorials/sentiment_classification_tutorial.ipynb
@@ -67,10 +67,10 @@
    "outputs": [],
    "source": [
     "train_df = pd.read_parquet(\n",
-    "    \"https://storage.googleapis.com/arize-assets/phoenix/datasets/unstructured/nlp/sentiment-classification-language-drift/sentiment_classification_language_drift_training.parquet\",\n",
+    "    \"http://storage.googleapis.com/arize-assets/phoenix/datasets/unstructured/nlp/sentiment-classification-language-drift/sentiment_classification_language_drift_training.parquet\",\n",
     ")\n",
     "prod_df = pd.read_parquet(\n",
-    "    \"https://storage.googleapis.com/arize-assets/phoenix/datasets/unstructured/nlp/sentiment-classification-language-drift/sentiment_classification_language_drift_production.parquet\",\n",
+    "    \"http://storage.googleapis.com/arize-assets/phoenix/datasets/unstructured/nlp/sentiment-classification-language-drift/sentiment_classification_language_drift_production.parquet\",\n",
     ")"
    ]
   },