A package that scrapes movie data from Universal Studios and analyzes it.
Project description
final-movie-analysis
A little package for analyzing universal studios movies from 2014-2024
Description
This package demonstrates:
- How to scrape movie information from the web for a dirty dataset and clean it (
data_creation) - View the dataset (
print_dataset_head) - How to analyze a movie dataset (
do_analysis_specific) - How to check missingness in the dataset (
get_NAs) - How do it all in one step (
totality) - How to analyze feature importance (
do_ml_analysis_plots,do_ml_analysis_numbers,ml_analysis_findings) - How to analyze feature significance (
season_significance,rating_significance,genre_significance,production_method_significance) - How to analyze factor relation (
factors_analysis,earnings_correlation,season_earnings,genre_earnings,production_method_earnings,ratings_earnings) - How to analyze a feature over time (
graph_revenue,graph_revenue_by_year,graph_revenue_and_profit,analyze_revenue) - How to check one feature specifically (
describe_revenue) - How to interpret analysis (
factors_findings,revenue_findings)
Installation
pip install final-movie-analysis
Usage
import sys, os
sys.path.append(os.path.abspath("src"))
from final_movie_analysis.functions import totality
#Create and analyze the data
totality()
Dependencies
- requests>=2.32.5
- bs4>=0.0.2
- numpy>=2.3.4
- pandas>=2.3.3
- matplotlib>=3.10.7
- lxml>=6.0.2
- scipy>=1.16.3
- scikit-learn>=1.7.2
- shap>=0.49.1
- pingouin>=0.5.5
License
MIT
Project details
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