<jupyter_start><jupyter_text>Problem statement **Author** : <NAME> || <EMAIL> || +91 96206 38383 ||   Solution Approach - Step1 - Step2  Solution  Lib Imports  Data load<jupyter_code>import numpy as np
import pandas as pd
data_frame =  pd.read_csv("a.csv")<jupyter_output><empty_output><jupyter_text>Pandas settings<jupyter_code>pd.options.display.max_columns = None
pd.options.display.max_rows = 500
pd.options.display.width = None
pd.options.display.max_colwidth = 100
pd.options.display.precision = 3<jupyter_output><empty_output><jupyter_text>Data Overview<jupyter_code># Shape
data_frame.shape
# DTypes
data_frame.dtypes
# Nulls
round(data_frame.isnull().mean()*100, 2)
# Duplicate

len(data_frame) - len(data_frame.drop_duplicates())
# Sample
data_frame.sample(1)
# Head
data_frame.head(1)
# tail
data_frame.tail(1)
# Describe
data_frame.describe(include='all')

# info
data_frame.info(verbose=1)

# Count of data types
data_frame.dtypes.value_counts()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.12550607287449392, 'fraction_numerical': 0.029352226720647773, 'mean_word_length': 6.912, 'pattern_counts': {'":': 0, '<': 15, '<?xml version=': 0, '>': 15, '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': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '213956', 'license': 'Apache-2.0', 'n_tokens_mistral': 393, 'n_tokens_neox': 367, 'n_words': 62, 'path': 'template/singlefile/template.ipynb', 'repo_name': 'talk2sunil83/UpgradLearning', 'size': '1009'}