Netflix Content: An Exploratory Data Analysis

Goal: To perform an exploratory data analysis (EDA) on the Netflix Movies and TV Shows dataset to extract meaningful patterns and insights about its content. Stack: Python • SQL • JupyterLab

Process

This analysis involves a complete data wrangling and exploration workflow on the specified dataset. My process includes the following steps:

1. Ingest: Load the raw data from the provided CSV file.
2. Clean: Handle data types, missing values, duplicates, and parse text and date fields to ensure data quality.
3. Transform: Reshape, join, and encode data as needed to prepare it for analysis.
4. Export: Create a tidy, documented version of the dataset for reproducible analysis.
5. Analyze & Visualize (EDA): Generate visual and statistical summaries to identify trends, relationships, and answer questions about the content.

Dataset

• Source: Kaggle — “Netflix Movies and TV Shows”
• Link: https://www.kaggle.com/datasets/shivamb/netflix-shows