Merge pull request #78 from KOSASIH/deepsource-transform-abc086b1

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data_analytics/data_analysis.py

@@ -2,23 +2,26 @@
 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'])
+        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_
+        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)
+        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