15 Best New Year’s Songs

15 Best New Year’s Songs – Magical fairy help

Introduction

This project was born from a desire to push the boundaries of static data. By combining Tableau’s robust data engine with custom Python and JS-based motion graphics, I created an immersive, animated reporting experience and my little fairy helped me.

Tableau Dashboard

Here, you can explore an embedded Tableau Public dashboard—interact with it and use the provided link to download or view the report.

Tableau public: 15 Best New Year’s Songs – Magical fairy help

Here is how I built it.

Concept & Design Strategy

The foundation of any great report is a clear vision. For this project, I chose to move beyond simple numbers and standard metrics, stepping away from the traditional data analyst’s perspective. Instead, I drew inspiration from the wonder of childhood imagination.

I wanted to evoke that specific New Year festive magic—that breathless feeling of a child staring out the window at the first snowfall of the year.

Directing the Scene

I acted more as a stage director than a technician. I asked myself:

• Where are we? Visual Composition
• How does it feel? Atmosphere & Mood
• character’s ? Fairy
• what will happen ? Animation Script

After conceptualizing the scene, I began creating the visuals and animations using Gemini, Python, and JS-based motion graphics. I uploaded the animations to the cloud and integrated them via Custom URLs. By appending parameters such as &autoplay=true&loop=true&muted=true&controls=false to the hosted links, I ensured the content loops seamlessly without sound or playback overlays. Some of the motion graphics I have linked via GitHub.

The Parchment Scroll Magical text generation script:

Name: Source Code: PIL Implementation *

Note: After creating the GIF, use software or a GIF editor to set the loop count to 1 (play once) or infinity (play continuously) depending on what you want.

i am using delayed Giff after 2nd animation, you can see code here: https://github.com/Elene-mamniashvili/delayed-gif.git