The idea of first exporting a series of static charts (for example from R, Python, or a dashboard), then assembling them into an animation, really resonates. It makes the whole process feel manageable even for people who aren’t comfortable with motion design software. The reminder that a GIF is essentially just a sequence of frames shown in order helps demystify what’s otherwise a slightly intimidating task. (depictdatastudio.com
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I also appreciate that you highlighted frame timing and export settings — those small details often make a big difference in how smooth and readable the final animation feels. Choosing the right delay between frames can turn a confusing animation into a compelling storytelling tool.

When I create demo animations for tutorials or blog posts, I sometimes find that the initial export plays too quickly to be easily interpreted. Before embedding it, I usually fine‑tune the frame delay in the browser (occasionally tweaking the speed on gifspeed.com) so viewers can clearly see each step of the evolution.

Overall, this is a solid workflow for anyone who wants to go beyond static images and introduce animated data graphics into their documentation or social content — thanks for sharing!