<jupyter_start><jupyter_text><jupyter_code>import pandas as pd
import numpy as np
import FIBO as fi
from helper_functions import null_count, Ran
df2= pd.read_csv('/content/123submission (1).csv').head(100)
df2
null_count(df2)
fi.fib(10)
Ran(df2, 1)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.11870503597122302, 'fraction_numerical': 0.050359712230215826, 'mean_word_length': 8.0, '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': '287503', 'license': 'MIT', 'n_tokens_mistral': 120, 'n_tokens_neox': 111, 'n_words': 25, 'path': 'DS-UNIT-3-SPRINT-1SOFTWARE-ENGINEERING.ipynb', 'repo_name': 'HunterJordan/lambdata-DS29', 'size': '278'}