<jupyter_start><jupyter_text><jupyter_code>import pandas as pd
import numpy as np
!pip install --index-url https://test.pypi.org/simple/ --no-deps lambdata_elizabethts==0.0.11
import lambdata_elizabethts as ld
ld.myName
dir(ld)
df = pd.DataFrame( [1,2,3],
              [4,5,6])
ld.checknull(df)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.14461538461538462, 'fraction_numerical': 0.03076923076923077, 'mean_word_length': 4.719298245614035, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 1, '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': '225036', 'license': 'MIT', 'n_tokens_mistral': 143, 'n_tokens_neox': 136, 'n_words': 25, 'path': 'Unit_3_Sprint_1_Module_1.ipynb', 'repo_name': 'elizabethts/DS-Unit-3-Sprint-1-Software-Engineering', 'size': '325'}