diff --git a/gptables/examples/survey_data.py b/gptables/examples/survey_data.py
index a623ff1..f7b07ee 100644
--- a/gptables/examples/survey_data.py
+++ b/gptables/examples/survey_data.py
@@ -14,8 +14,8 @@
 parent_dir = Path(__file__).parent
 
 labour_market_data = pd.read_csv(parent_dir / "survey_data.csv")
-labour_market_data.dropna(axis=0, how="all", inplace=True)
-labour_market_data.dropna(axis=1, how="all", inplace=True)
+labour_market_data.dropna(axis=0, how="all", inplace=True) # Remove empty rows in the data
+labour_market_data.dropna(axis=1, how="all", inplace=True) # Remove columns rows in the data
 col_names = ["Time period and dataset code row",
              "Number of people", 
              "Economically active",
@@ -99,8 +99,8 @@
 
 ## Notesheet
 notes_table = pd.read_csv(parent_dir / "survey_data_notes.csv")
-notes_table.dropna(axis=0, how="all", inplace=True)
-notes_table.dropna(axis=1, how="all", inplace=True)
+notes_table.dropna(axis=0, how="all", inplace=True) # Remove empty rows in the data
+notes_table.dropna(axis=1, how="all", inplace=True) # Remove columns rows in the data
 notes_table.columns = ['Note reference', 'Note text']
 
 ## Use write_workbook to win!