Added Python code.

submissions/Dhairya-A-Mehra/Result.md

@@ -0,0 +1,3 @@
+Total number of songs in the file: 953
+Number of songs in the key of E: 62
+Most common artist name: Taylor Swift

submissions/Dhairya-A-Mehra/main.py

@@ -0,0 +1,35 @@
+import csv
+from collections import Counter
+
+# Define the filename for the Spotify CSV data
+filename = 'spotify-2023.csv'
+
+# Read and analyze the CSV file
+with open(filename, 'r') as csvfile:
+    csvreader = csv.reader(csvfile)
+
+    # Extract the header fields from the file
+    header = next(csvreader)
+
+    # Initialize data containers
+    data_rows = []  # Store all data rows
+    artist_names = []  # Store artist names for analysis
+
+    # Iterate through the CSV data
+    for row in csvreader:
+        data_rows.append(row)
+
+        # Extract and record artist names
+        artist_name = row[header.index('artist(s)_name')]
+        artist_names.append(artist_name)
+
+    # Count the number of songs in the key of 'E'
+    songs_in_key_E = sum(1 for row in data_rows if row[header.index('key')] == 'E')
+
+    # Determine the most frequently occurring artist name
+    most_common_artist_name = max(Counter(artist_names).keys(), key=lambda k: Counter(artist_names)[k])
+
+# Output the results
+print(f'Total number of songs in the file: {len(data_rows)}')
+print(f'Number of songs in the key of E: {songs_in_key_E}')
+print(f'Most common artist name: {most_common_artist_name}')