diff --git a/sdv/evaluation/multi_table.py b/sdv/evaluation/multi_table.py
index 25669af82..34ed0b94e 100644
--- a/sdv/evaluation/multi_table.py
+++ b/sdv/evaluation/multi_table.py
@@ -77,8 +77,8 @@ def get_column_plot(real_data, synthetic_data, metadata, table_name, column_name
             1D marginal distribution plot (i.e. a histogram) of the columns.
     """
     metadata = metadata.tables[table_name]
-    real_data = real_data[table_name]
-    synthetic_data = synthetic_data[table_name]
+    real_data = real_data[table_name] if real_data else None
+    synthetic_data = synthetic_data[table_name] if synthetic_data else None
     return single_table_visualization.get_column_plot(
         real_data,
         synthetic_data,
@@ -118,8 +118,8 @@ def get_column_pair_plot(
             2D bivariate distribution plot (i.e. a scatterplot) of the columns.
     """
     metadata = metadata.tables[table_name]
-    real_data = real_data[table_name]
-    synthetic_data = synthetic_data[table_name]
+    real_data = real_data[table_name] if real_data else None
+    synthetic_data = synthetic_data[table_name] if synthetic_data else None
     return single_table_visualization.get_column_pair_plot(
         real_data, synthetic_data, metadata, column_names, sample_size, plot_type
     )
diff --git a/tests/unit/evaluation/test_multi_table.py b/tests/unit/evaluation/test_multi_table.py
index 4cdea58a6..2995f9dd5 100644
--- a/tests/unit/evaluation/test_multi_table.py
+++ b/tests/unit/evaluation/test_multi_table.py
@@ -73,9 +73,31 @@ def test_get_column_plot(mock_plot):
     assert plot == 'plot'
 
 
+@patch('sdv.evaluation.single_table.get_column_plot')
+def test_get_column_plot_only_real_or_synthetic(mock_plot):
+    """Test that ``get_column_plot`` works when only real or synthetic data is provided."""
+    # Setup
+    table1 = pd.DataFrame({'col': [1, 2, 3]})
+    data1 = {'table': table1}
+    metadata = MultiTableMetadata()
+    metadata.detect_table_from_dataframe('table', table1)
+    mock_plot.return_value = 'plot'
+
+    # Run
+    get_column_plot(data1, None, metadata, 'table', 'col')
+    get_column_plot(None, data1, metadata, 'table', 'col')
+
+    # Assert
+    call_metadata = metadata.tables['table']
+    mock_plot.assert_has_calls([
+        ((table1, None, call_metadata, 'col', None), {}),
+        ((None, table1, call_metadata, 'col', None), {}),
+    ])
+
+
 @patch('sdv.evaluation.single_table.get_column_pair_plot')
 def test_get_column_pair_plot(mock_plot):
-    """Test that ``get_column_pair`` plot is being called with the expected objects."""
+    """Test that ``get_column_pair_plot`` is being called with the expected objects."""
     # Setup
     table1 = pd.DataFrame({'col1': [1, 2, 3], 'col2': [3, 2, 1]})
     table2 = pd.DataFrame({'col1': [2, 1, 3], 'col2': [1, 2, 3]})
@@ -94,6 +116,28 @@ def test_get_column_pair_plot(mock_plot):
     assert plot == 'plot'
 
 
+@patch('sdv.evaluation.single_table.get_column_pair_plot')
+def test_get_column_pair_plot_only_real_or_synthetic(mock_plot):
+    """Test that ``get_column_pair_plot`` works when only real or synthetic data is provided."""
+    # Setup
+    table1 = pd.DataFrame({'col1': [1, 2, 3], 'col2': [3, 2, 1]})
+    data1 = {'table': table1}
+    metadata = MultiTableMetadata()
+    metadata.detect_table_from_dataframe('table', table1)
+    mock_plot.return_value = 'plot'
+
+    # Run
+    get_column_pair_plot(data1, None, metadata, 'table', ['col1', 'col2'], 2)
+    get_column_pair_plot(None, data1, metadata, 'table', ['col1', 'col2'], 2)
+
+    # Assert
+    call_metadata = metadata.tables['table']
+    mock_plot.assert_has_calls([
+        ((table1, None, call_metadata, ['col1', 'col2'], None, 2), {}),
+        ((None, table1, call_metadata, ['col1', 'col2'], None, 2), {}),
+    ])
+
+
 @patch('sdmetrics.visualization.get_cardinality_plot')
 def test_get_cardinality_plot(mock_plot):
     """Test it calls ``get_column_cardinality_plot`` in sdmetrics with the parent primary key."""