Python-Movie-Industry-Correlation-Project

finding correlations in the dataset using Python

🎬 Movie Industry Data Analysis – Correlation Insights

🔹 Overview

A Python project analyzing a movie industry dataset to explore relationships between key numerical features. The project demonstrates end-to-end data analysis, from cleaning to visualization.

📝 Steps

1. Import Libraries – pandas, numpy, matplotlib, seaborn
2. Load Dataset – read the movie industry dataset into a DataFrame
3. Check Missing Data – inspect nulls and percentages
4. Data Cleaning – handle missing values and correct data types
5. Correlation Analysis – calculate correlations and visualize using a heatmap
6. Findings – identify strong relationships (e.g., budget vs gross)

🛠 Tools

• Python 3.x
• pandas, numpy, matploblib, seaborn