Add my version in Python

spotify_data_logger.py

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+import csv
+import os
+
+# Load Spotify data from the CSV file
+def load_data(filename):
+    with open(filename, mode='r', encoding='latin1') as file:
+        reader = csv.DictReader(file)
+        return list(reader)
+
+# Challenge 1: Identify the number of songs in the file
+def total_songs(data):
+    return len(data)
+
+# Challenge 2: Identify the number of songs in the key of E
+def songs_in_key_e(data):
+    count = 0
+    for row in data:
+        if row['key'] == 'E':
+            count += 1
+    return count
+
+# Challenge 3: Count the occurrences of values in a specified column (artist names)
+def most_common_artist(data):
+    artist_count = {}
+    for row in data:
+        artist = row['artist(s)_name']
+        if artist in artist_count:
+            artist_count[artist] += 1
+        else:
+            artist_count[artist] = 1
+    return max(artist_count, key=artist_count.get)
+
+if __name__ == "__main__":
+    # Create a folder for your project with your github handle
+    folder_name = "your_github_handle"
+    if not os.path.exists(folder_name):
+        os.makedirs(folder_name)
+
+    # Load data
+    data = load_data('spotify-2023.csv')
+
+    # Perform challenges
+    print(f"Total number of songs: {total_songs(data)}")
+    print(f"Number of songs in the key of E: {songs_in_key_e(data)}")
+    print(f"The most common artist is: {most_common_artist(data)}")