Create data_analysis.py

data_analytics/data_analysis.py

@@ -0,0 +1,24 @@
+import numpy as np
+import pandas as pd
+from sklearn.cluster import KMeans
+
+class DataAnalysis:
+    def __init__(self, data):
+        self.data = data
+
+    def analyze_data(self):
+        # Perform data cleaning and preprocessing
+        self.data = self.data.dropna()
+        self.data = pd.get_dummies(self.data, columns=['transaction_type'])
+
+        # Perform data analysis
+        kmeans = KMeans(n_clusters=3, random_state=0).fit(self.data[['amount', 'frequency']])
+        self.data['cluster'] = kmeans.labels_
+
+        # Perform statistical analysis
+        summary_stats = self.data.describe()
+        summary_stats.loc['count'] = len(self.data)
+        summary_stats.loc['mean'] = np.mean(self.data)
+        summary_stats.loc['std'] = np.std(self.data)
+
+        return summary_stats