<jupyter_start><jupyter_text>Exploratory Data Analysis - Top 10.000 Movies                                       Dataset 🎬 About the Dataset1.id - Every movie has its unique ID.2.original_language - There are total 44 languages present in this      column. Total 7771 movies with 'English' as original language. Values in this column are ISO 639-1 codes of languages. I.e 'en' for 'English' , 'hi' for 'Hindi' etc.3.original_title - Title of the movie.4.popularity - Popularity of movie. Bigger the number , higher the popularity.5.release_date - Release date of the movie. If release date is not present for any movie , then that movie is not released yet.6.vote_average - Average of rating/vote for the movie.7.vote_count - Number of ratings/vote recorded for the movie.8.genre - Genre of the movie.9.overview - Brief description of movie in string format.10.revenue - Revenue of Movie11.runtime - Runtime of movie in minutes.12.tagline - Tagline of the movie<jupyter_code>import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.read_csv("C:\\Users\\user\\Desktop\\New folder\\Top 10000 moives\\Top_10000_Movies.csv")
df.head()
df.shape
df.info()
df.describe().T
df.isnull().sum()


df.drop(["Unnamed: 0","id"], axis=1, inplace=True)


df.isnull().sum()
df.duplicated().sum()
df.drop_duplicates(inplace=True)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.09963898916967509, 'fraction_numerical': 0.03032490974729242, 'mean_word_length': 3.7628865979381443, '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': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '136787', 'license': 'Apache-2.0', 'n_tokens_mistral': 460, 'n_tokens_neox': 419, 'n_words': 154, 'path': 'Top 10000 moives/Untitled.ipynb', 'repo_name': 'PiyushSainii/Persnal_EDA_Project', 'size': '1385'}