diff --git a/q01_load_data_and_add_column_names/__init__.pyc b/q01_load_data_and_add_column_names/__init__.pyc
index ca8ec44..44f8b51 100644
Binary files a/q01_load_data_and_add_column_names/__init__.pyc and b/q01_load_data_and_add_column_names/__init__.pyc differ
diff --git a/q01_load_data_and_add_column_names/build.py b/q01_load_data_and_add_column_names/build.py
index 3c7624e..b62d743 100644
--- a/q01_load_data_and_add_column_names/build.py
+++ b/q01_load_data_and_add_column_names/build.py
@@ -1,6 +1,15 @@
 import pandas as pd
-
+import numpy as np
 
 path = 'data/GermanData.csv'
 
-def q01_load_data_and_add_column_names():
+def q01_load_data_and_add_column_names(path):
+    df  = pd.read_csv(path)
+    #print df.head(5)
+    df.columns = ['account_status', 'month', 'credit_history', 'purpose', 'credit_amount', 'savings_account/bonds',
+                    'employment', 'installment_rate', 'personal_status/sex', 'guarantors', 'residence_since',
+                    'property', 'age', 'other_installment_plans', 'housing', 'number_of_existing_credits', 'job', 'liable', 'telephone', 'foreign_worker', 'good/bad']
+
+    df["good/bad"] = np.where(df["good/bad"]==1 ,  0 ,1)
+
+    return df
diff --git a/q01_load_data_and_add_column_names/build.pyc b/q01_load_data_and_add_column_names/build.pyc
index 33a30a8..f3d0bc8 100644
Binary files a/q01_load_data_and_add_column_names/build.pyc and b/q01_load_data_and_add_column_names/build.pyc differ
diff --git a/q01_load_data_and_add_column_names/tests/__init__.pyc b/q01_load_data_and_add_column_names/tests/__init__.pyc
index 68ab5b6..d970cbf 100644
Binary files a/q01_load_data_and_add_column_names/tests/__init__.pyc and b/q01_load_data_and_add_column_names/tests/__init__.pyc differ
diff --git a/q01_load_data_and_add_column_names/tests/test.pyc b/q01_load_data_and_add_column_names/tests/test.pyc
index 5a2c337..3858009 100644
Binary files a/q01_load_data_and_add_column_names/tests/test.pyc and b/q01_load_data_and_add_column_names/tests/test.pyc differ