<jupyter_start><jupyter_text><jupyter_code>import pandas as pd
import numpy as np
df=pd.read_csv("https://raw.githubusercontent.com/ankitjena01/18cse152/main/country_wise_latest.csv")
df.shape
df.head
df<jupyter_output><empty_output><jupyter_text>**DATA EXPLORATION**<jupyter_code>df.columns
df.info()
df.describe()<jupyter_output><empty_output><jupyter_text>**DATA CLEANING**<jupyter_code>df.duplicated().sum()
df.isnull().sum()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.15468409586056645, 'fraction_numerical': 0.015250544662309368, 'mean_word_length': 11.777777777777779, 'pattern_counts': {'":': 0, '<': 13, '<?xml version=': 0, '>': 13, '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': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '463405', 'license': 'Apache-2.0', 'n_tokens_mistral': 195, 'n_tokens_neox': 188, 'n_words': 17, 'path': 'assignment2.ipynb', 'repo_name': 'ankitjena01/18cse152', 'size': '459'}