diff --git a/Import_data.py b/Import_data.py
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+"""
+Created on Sun Sep  1 12:13:23 2024
+
+@author: Maya Coulson Theodorsen (mcoth@dtu.dk)
+
+This script imports the CSV data file, drops participants who have not consented
+to their data being used for research, filters incomplete datasets, keeps only
+one dataset for each participant
+
+"""
+
+#Import all necessary packages
+import pandas as pd
+
+# Define import of data
+def load_data(file_path):
+    # Import data
+    data_original = pd.read_csv("data6_9_2023.csv", encoding='latin-1', sep = ';')
+    data = data_original
+    print('Total amount of participants/measurements:', data.shape[0])
+
+    # Delete the data of individuals who do not consent to research
+    data = data.drop(data.index[data['Forskning'] == False])
+
+    #Check the counts to make sure all who haven't consented are deleted
+    data['Forskning'].value_counts()
+
+    #Display amout that have given consent
+    print('Total amount of participants wtih consent:', data.shape[0])
+
+    # Delete incomplete datasets, drop duplicates
+    data = data[data['PCL_t0'].notna()]
+    data = data[data['DASS_D_t0'].notna()]
+    data = data[data['DASS_S_t0'].notna()]
+    data = data[data['DASS_A_t0'].notna()]
+    data = data[data['q0003_0001'].notna()]
+    data = data.drop_duplicates(subset='lbnr')
+
+    print('Total amount of unique participants wtih complete data:', data.shape[0])
+    
+    data_complete = data.copy()
+    data_complete = data_complete.reset_index()
+
+    return data_complete
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