diff --git a/ads/opctl/operator/lowcode/common/data.py b/ads/opctl/operator/lowcode/common/data.py
index 530a1d392..c85d5e5df 100644
--- a/ads/opctl/operator/lowcode/common/data.py
+++ b/ads/opctl/operator/lowcode/common/data.py
@@ -1,22 +1,21 @@
 #!/usr/bin/env python
-# -*- coding: utf-8 -*--
 
 # Copyright (c) 2024 Oracle and/or its affiliates.
 # Licensed under the Universal Permissive License v 1.0 as shown at https://oss.oracle.com/licenses/upl/
 
 import time
-from .transformations import Transformations
+from abc import ABC
+
+import pandas as pd
+
 from ads.opctl import logger
 from ads.opctl.operator.lowcode.common.const import DataColumns
-from ads.opctl.operator.lowcode.common.utils import load_data
 from ads.opctl.operator.lowcode.common.errors import (
-    InputDataError,
     InvalidParameterError,
-    PermissionsError,
-    DataMismatchError,
 )
-from abc import ABC
-import pandas as pd
+from ads.opctl.operator.lowcode.common.utils import load_data
+
+from .transformations import Transformations
 
 
 class AbstractData(ABC):
@@ -35,12 +34,15 @@ def get_raw_data_by_cat(self, category):
         condition = pd.Series(True, index=self.raw_data.index)
         if category in mapping:
             for col, val in mapping[category].items():
-                condition &= (self.raw_data[col] == val)
+                condition &= self.raw_data[col] == val
         data_by_cat = self.raw_data[condition].reset_index(drop=True)
-        data_by_cat = self._data_transformer._format_datetime_col(data_by_cat) if self.spec.datetime_column else data_by_cat
+        data_by_cat = (
+            self._data_transformer._format_datetime_col(data_by_cat)
+            if self.spec.datetime_column
+            else data_by_cat
+        )
         return data_by_cat
 
-
     def get_dict_by_series(self):
         if not self._data_dict:
             for s_id in self.list_series_ids():
diff --git a/pyproject.toml b/pyproject.toml
index 833fefed6..4f3fe0e17 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -171,13 +171,13 @@ forecast = [
   "statsmodels",
   "plotly",
   "oracledb",
-  "report-creator==1.0.9",
+  "report-creator==1.0.27",
 ]
 anomaly  = [
   "oracle_ads[opctl]",
   "autots",
   "oracledb",
-  "report-creator==1.0.9",
+  "report-creator==1.0.27",
   "rrcf==0.4.4",
   "scikit-learn",
   "salesforce-merlion[all]==2.0.4"
@@ -186,7 +186,7 @@ recommender = [
   "oracle_ads[opctl]",
   "scikit-surprise",
   "plotly",
-  "report-creator==1.0.9",
+  "report-creator==1.0.27",
 ]
 feature-store-marketplace = [
     "oracle-ads[opctl]",
@@ -202,7 +202,7 @@ pii = [
   "scrubadub_spacy",
   "spacy-transformers==1.2.5",
   "spacy==3.6.1",
-  "report-creator==1.0.9",
+  "report-creator==1.0.27",
 ]
 llm = ["langchain>=0.2", "langchain-community", "langchain_openai", "pydantic>=2,<3", "evaluate>=0.4.0"]
 aqua = ["jupyter_server"]