added ws202425 courses

2024_Datenbanksysteme/App/data/preprocess_mieten.py

@@ -0,0 +1,23 @@
+import pandas as pd
+def clean_mieten(file_path,cleaned_file_path):
+    df = pd.read_csv(file_path, delimiter=';', encoding='ISO-8859-1')
+
+
+    df.columns = [
+        'land', 'mieten_ab_2019', 'mieten_insgesamt'
+    ]
+    
+    df['land'] = df['land'].str.encode('ISO-8859-1').str.decode('utf-8')
+
+    
+    df['mieten_ab_2019'] = pd.to_numeric(df['mieten_ab_2019'], errors='coerce').astype('float')
+    df['mieten_insgesamt'] = pd.to_numeric(df['mieten_insgesamt'], errors='coerce').astype('float')
+
+    df['land'] = df['land'].str.replace('"', '')
+
+    df.to_csv(cleaned_file_path, index=False)
+    return df
+
+mieten_file_path = 'data/source/nettokaltmieten.csv'
+mieten_cleaned_file_path = 'data/preprocessed/cleaned_mieten.csv'
+cleaned_mieten_df = clean_mieten(mieten_file_path, mieten_cleaned_file_path)