/netflix_visualization

Primary LanguageJupyter Notebook

README: Netflix Dataset Analysis

Overview

This repository contains code for analyzing a Netflix dataset, focusing on data cleaning, exploration, and visualization. The code uses Python libraries such as Pandas, Matplotlib, and Seaborn to process and visualize the data.

Requirements

Before running the code, ensure you have the following Python libraries installed:

  • pandas
  • matplotlib
  • seaborn

You can install these libraries using pip:

pip install pandas matplotlib seaborn

Dataset

The dataset used in this analysis should be a CSV file containing information about Netflix movies and TV shows. The expected columns include:

  • director: The director of the movie or TV show.
  • cast: The cast of the movie or TV show.
  • listed_in: The genre(s) listed for the movie or TV show.
  • rating: The rating of the movie or TV show.
  • type: The type of content (e.g., Movie or TV Show).

Troubleshooting

  • Missing Libraries: Ensure all required libraries are installed.
  • File Not Found: Verify the file path and ensure the CSV file exists.
  • Column Names: Ensure the dataset columns match those expected in the script.