#🎬📊 Interactive Data Explorer & Box Office Analysis App
Welcome to the Interactive Data Explorer & Box Office Analysis App! This app is designed to provide a seamless experience for exploring and analyzing movie data, particularly focusing on box office performance across different genres and years.
Data Exploration & Visualization:
Perform exploratory data analysis (EDA) with various options like histograms, box plots, violin plots, and correlation heatmaps. Visualize data distributions and relationships using Seaborn and Matplotlib.
Filter movies by genre and year to discover which genres perform best at the box office.
Dynamic visualizations powered by Altair provide clear insights into trends over time.
Interactive Editing:
Edit the data live within the app using an editable DataFrame, making it easy to experiment with different scenarios and data points.
Streamlit: For creating an interactive web app interface.
Pandas: For data manipulation and analysis.
Seaborn & Matplotlib: For creating static data visualizations.
Altair: For interactive and dynamic charting.
NumPy: For numerical operations and data handling.
app.py: Main application file containing the Streamlit app logic.
movies_genres_summary.csv: The dataset used in the project, containing movie genres, years, and box office earnings.
README.md: This file, providing an overview of the project.