<jupyter_start><jupyter_text>ETL TRANSFORMATION PROCESS<jupyter_code>mylist = []
for data in x:
    mylist.append(data)
    print(data)
print(mylist)
print(mylist[0]['_id'])
import pandas as pd
df = pd.DataFrame(mylist)
df
print(mylist)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.13157894736842105, 'fraction_numerical': 0.0037593984962406013, 'mean_word_length': 7.34375, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, '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': '305900', 'license': 'Apache-2.0', 'n_tokens_mistral': 112, 'n_tokens_neox': 113, 'n_words': 19, 'path': 'MONGO_DB ETL PROCESS.ipynb', 'repo_name': 'Funmilayo-Aina/Women-Techster-Data-Science-Fellowship', 'size': '266'}