Project goals were to deliver high-fidelity, animated data visualizations and comprehensive reports—integrating Python, relational databases, and modern animation tools—to meet a client’s need for a dynamic race-chart animation.
Project Details
- Architected the data pipeline using Python (pandas, SQLAlchemy) to extract, transform, and load domain-specific datasets from client databases.
- Prototyped race-chart animations in Plotly Dash, benchmarking performance and visual quality.
- Switched to D3.js for the race chart when Dash couldn’t achieve the required smoothness and styling control, implementing custom JavaScript animations for superior frame rates and design fidelity.
- Integrated video export workflows, using FFmpeg and Python scripts to render D3 animations into sharable video formats and embeddable web components.
- Produced polished reports combining static graphics and animated sequences, complete with documentation of the toolchain and reproducible code.
- Showcased a portfolio of prior visualization projects—ranging from interactive dashboards to motion-graphic infographics—to validate expertise in Python, databases, and animation techniques.