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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
Last synced: about 2 months ago
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Netflix exploratory analysis using python
- Host: GitHub
- URL: https://github.com/misszeferino/netflix-exploratory-analysis
- Owner: misszeferino
- Created: 2021-12-06T17:38:00.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2021-12-11T17:41:18.000Z (about 3 years ago)
- Last Synced: 2023-11-21T18:33:32.022Z (about 1 year ago)
- Topics: data-analysis, data-visualization, pandas, plotly, python
- Language: Jupyter Notebook
- Homepage:
- Size: 8.04 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 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: