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https://github.com/misszeferino/netflix-exploratory-analysis

Netflix exploratory analysis using python
https://github.com/misszeferino/netflix-exploratory-analysis

data-analysis data-visualization pandas plotly python

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Netflix exploratory analysis using python

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# Netflix Exploratory Analysis

## Introduction

This is Exploratory Data Analysis using Python of the "Netflix Movies & TV Shows" dataset. The purpose of this project is to find out and visualize the data's main characteristics and trends using statistical methods and data visualization techniques.

## Objective

The purpose of this analysis is to answer the following questions:

* Number of movies/tv-shows added to the streaming platform by year
* Which month has the most added movies/tv-shows?
* Which day has the most added movies/tv-shows?
* How many Movies vs. TV-Shows?
* Which year has the most releases Movies/TV-Shows?
* Which is the oldest movie/tv-show on streaming?
* Which countries produce the most movies/tv-shows?
* Cast members with the most content

## About Dataset

The Netflix Movies & TV Shows dataset can be found on [Kaggle](https://www.kaggle.com/shivamb/netflix-shows). It contains all TV Shows and Movies metadata available on Netflix. The dataset is updated every month. It contains 8807 records and 12 columns.

[Netflix](https://en.wikipedia.org/wiki/Netflix) was founded on August 29, 1997, as a mail-based rental business. In January 2007, the company launched a streaming media service, introducing video on demand via the Internet.

### Libraries Used:

Pandas
Plotly