<jupyter_start><jupyter_text>Item Item Recco<jupyter_code>data["Quantity"] = 1 # since the column is missing 
data.head()
print("Total Records -> %s\nTotal Persons -> %s\nTotal Items -> %s"%(len(data), len(data["Person"].unique()), len(data["item"].unique())))
data["item"].value_counts()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.20754716981132076, 'fraction_numerical': 0.0031446540880503146, 'mean_word_length': 8.114285714285714, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 8, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '522609', 'license': 'MIT', 'n_tokens_mistral': 118, 'n_tokens_neox': 113, 'n_words': 20, 'path': 'scratch_implementation/CF/Collaborative Filtering.ipynb', 'repo_name': 'jithurjacob/Recommendation-Engine-Algorithms', 'size': '318'}