diff --git a/dayliopy/fit_model.py b/dayliopy/fit_model.py
index 146cd67..e577b13 100755
--- a/dayliopy/fit_model.py
+++ b/dayliopy/fit_model.py
@@ -17,6 +17,7 @@
 import pandas as pd
 import statsmodels.api
 
+from .lib import CSV_ENCODING
 from .lib.config import AppConf
 
 
@@ -79,7 +80,7 @@ def fit_model_to_csv(csv_in_path: str):
 
     :param csv_in_path: Path to cleaned CSV.
     """
-    df = pd.read_csv(csv_in_path)
+    df = pd.read_csv(csv_in_path, encoding=CSV_ENCODING)
 
     encoded_df = prepare_data(df)
 
diff --git a/dayliopy/lib/__init__.py b/dayliopy/lib/__init__.py
index 0a73f30..3c0720d 100644
--- a/dayliopy/lib/__init__.py
+++ b/dayliopy/lib/__init__.py
@@ -5,3 +5,8 @@
 
 
 APP_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir))
+
+# Encoding added to avoid error on Windows
+#     https://github.com/MichaelCurrin/daylio-csv-parser/issues/25
+
+CSV_ENCODING = "latin-1"
diff --git a/dayliopy/mood_report.py b/dayliopy/mood_report.py
index 9e8e18c..cc154a2 100755
--- a/dayliopy/mood_report.py
+++ b/dayliopy/mood_report.py
@@ -4,6 +4,7 @@
 """
 import pandas as pd
 
+from .lib import CSV_ENCODING
 from .lib.config import AppConf
 
 
@@ -51,12 +52,15 @@ def make_report(csv_in_path: str) -> None:
     """
     Make report from input CSV and show.
 
+
     :param: csv_in_path: Path to cleaned CSV, as generated by clean_csv.py
         application.
 
     :return: None
     """
-    df = pd.read_csv(csv_in_path, usecols=["mood_label", "mood_score"])
+    df = pd.read_csv(
+        csv_in_path, usecols=["mood_label", "mood_score"], encoding=CSV_ENCODING
+    )
 
     print_aggregate_stats(df, "mood_score")
     print()