Update questions data

data/questions/3/answer.txt

@@ -0,0 +1,3 @@
+Winter Average PM2.5: 67.4923443634478
+Monsoon Average PM2.5: 34.42519611317571
+Summer Average PM2.5: nan

data/questions/3/code.py

@@ -0,0 +1,26 @@
+def true_code():
+    import pandas as pd
+    
+    # [Station name] = 'Lal Bahadur Shastri Nagar, Kalaburagi - KSPCB'
+    df = pd.read_csv('data/raw_data/Data.csv', sep=",")
+    
+    df['Timestamp'] = pd.to_datetime(df['Timestamp'])
+    df['Year'] = df['Timestamp'].dt.year
+    df['Month'] = df['Timestamp'].dt.month
+    
+    data = df[df['Year'] == 2018]
+    data = data[data['station'] == 'Lal Bahadur Shastri Nagar, Kalaburagi - KSPCB']
+    
+    winter_data = data[(data['Month'] == 12) | (data['Month'] <= 2)]
+    summer_data = data[(data['Month'] >= 3) & (data['Month'] <= 5)]
+    monsoon_data = data[(data['Month'] >= 6) & (data['Month'] <= 9)]
+    
+    summer_avg = summer_data['PM2.5'].mean()
+    winter_avg = winter_data['PM2.5'].mean()
+    monsoon_avg = monsoon_data['PM2.5'].mean()
+    
+    print("Winter Average PM2.5:", winter_avg)
+    print("Monsoon Average PM2.5:", monsoon_avg)
+    print("Summer Average PM2.5:", summer_avg)
+
+true_code()

data/questions/3/metadata.json

@@ -0,0 +1,9 @@
+{
+    "question_id": 3,
+    "category": "temporal",
+    "answer_category": "mutiple",
+    "plot": false,
+    "libraries": [
+        "pandas"
+    ]
+}

data/questions/3/question.txt

@@ -0,0 +1 @@
+For the year 2018, calculate the average PM2.5 concentration for each season (Winter: December-February, Summer: March-May, and Monsoon: June-September) for station [Station name]. Identify the season with the highest pollution and suggest potential factors contributing to the increase.