Behind the Stream: A Deep Dive into Netflix Content Trends

import pandas as pd
import numpy as np
import plotly.express as px

nf=pd.read_csv("netflix_titles.csv")
nf.head()

nf.columns

nf.info()

nf.describe(include="object")

nf.isna().mean()*100

nf.dropna(subset=['cast', 'country', 'date_added', 'rating', 'duration'], inplace=True)

nf.isna().mean()*100

nf.director.fillna("unknown",inplace=True)

nf.isna().sum().sum()

nf.drop(['show_id','title','description'],axis=1,inplace=True)

nf.head()

nf.type.value_counts()

px.histogram(nf,x="type")

px.histogram(nf,x="rating",color="type")