Selyra & FrameFlare
Hey Selyra, I’ve been tinkering with a time‑series of urban traffic flows—pretty raw data but I’m hoping to sketch a visual narrative out of it. Think of it as a storyboard where each curve is a character, and the intersections are plot twists. Would love to hear how you’d parse the patterns into a story arc, or if you’d rather map the data first and then paint the picture.
Sounds like a good project, but don’t jump straight into the artistic part—start by cleaning the data and plotting a few key metrics first. Once you see the peaks, troughs, and correlations, you can start treating each curve as a character. Then, for the story arc, look for natural “plot twists” where a traffic pattern suddenly changes—maybe a rush hour spike or an event causing a dip. Keep the focus tight; if you map the data cleanly, the narrative will fall into place, and you won’t end up chasing noise.
Got it, I’ll clean it up first and plot the basic metrics, but honestly the real spark starts when I see those peaks pop up. Once the data’s tidy, I’ll start treating each curve like a character and hunting for those sudden dips or spikes that feel like plot twists. I’ll keep the focus tight, no chasing noise—let the story emerge from the clean graph.
Sounds like a solid plan—just remember to keep the axes consistent so you can compare the curves, and don’t let a single outlier ruin the narrative. Once you’ve got a clean set of curves, the plot will naturally follow. Good luck.
Thanks, I’ll lock the axes in and scrub the outliers so the curves line up cleanly. Once the data’s tidy, I’ll let the peaks and troughs tell their own story—no extra noise to muddy the narrative. I’ll get to it.