Final Project - TMBD Dataset

Import the Data

Initial EDA : Exploratory Data Analysis - Identifying the number of rows and columns

Data Cleaning

Data transformation -

Data Analysis - Calculates Profit and ROI. Aggregates revenue performance by Genre.

Visualisation - EDA -

splitting and transform into a list compound categorical variables into individual components for analysis

The "Movies" Table : This metanode extracts and structures the main movies table, ensuring that each row represents a single movie with only one value per column, making it ready for analysis.

The "Genres" Table : Handle the list hint. Transform the pipe-separated genres column into a format where each genre has its own row.

PROJECT: TMDB Movies Data Preparation Pipeline Objective: Prepare raw movie data for AI Revenue Prediction.