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Kickstarter Campaign Analysis
Project type
Data Analysis & Data Visualization
Date
March 2026
Location
Los Angeles, CA
Project Code
Tech Stack
Python, Pandas, Data Visualization, Time Series Analysis
Data
What separates a fully funded Kickstarter campaign from one that falls flat? In this project, I performed an end-to-end exploratory data analysis and time series forecast on Kickstarter platform data to uncover the key drivers of crowdfunding success.
Key Contributions:
Cleaned and transformed complex raw dataset for reliable statistical analysis.
Designed advanced visualizations—including dual-axis trend lines, pyramid charts, and diverging bar charts—to compare campaign performance across major categories.
Engineered time series models (Optimized Moving Average and Autoregression) to analyze historical launch and funding trends over time.
Delivered a fully reproducible, clean HTML/PDF data report generated directly from Google Colab.
