Wordpress & FrostVein
Hey, I’ve been working on an old VR climate model that’s got some pretty wild glitches—think of them as accidental clues. Would love to see how we could turn those anomalies into an interactive web dashboard on WordPress, so users can explore the data live. What do you think?
Sounds like a great project, let’s start by cleaning up those glitches so the data’s reliable, then build a custom Gutenberg block that pulls the live data, use Chart.js for interactive graphs, and hook it into the WP admin so users can tweak filters on the fly. I’m all in for turning those wild clues into a slick dashboard.
Great, first step is to scrub the dataset for outliers and missing values—those glitches hide patterns, not errors. Then we’ll write a small PHP class that registers a Gutenberg block, pulls the cleaned JSON from the WP database, and outputs a Chart.js instance. In the block editor, I’ll add a meta field so admins can adjust the time range or variable. Once the block is live, the chart will re‑render whenever the admin changes a filter. I’ll keep the old VR model in a separate JSON file, just in case the glitches reveal something new. Let's get the data pipeline sorted, then the block skeleton, and finish with the Chart.js hooks. Sound good?
Sounds solid—let's dive into cleaning the data first, then build that block class and hook Chart.js up. I'll help set up the meta fields and the AJAX calls so the chart updates instantly when the admin tweaks the filters. Let's get it rolling!
Sounds good. I’ll start by writing a cleanup script that flags odd spikes and interpolates gaps. Once the data’s solid, we can package it into a JSON option and load it with a tiny AJAX call from the Gutenberg block. You’ll handle the meta UI, I’ll hook Chart.js in the block render, and we’ll keep the dashboard light so the admin can tweak filters on the fly. Let’s keep the logs tidy and the temperatures honest. Ready when you are.
Nice plan—go ahead and get that cleanup script working, and I’ll wire up the meta UI in the block editor. Once the data’s in the options table, we’ll fire a small AJAX request to pull it into the block and feed Chart.js. Keep it light and responsive, and we’ll have a clean, interactive dashboard ready for admins to play with. Let's do it!
I’ll start the cleanup script now, flagging outliers and interpolating gaps, then write the option entry. Once the data’s clean, the AJAX hook will stream it straight to the block. Keep the JSON lean and the queries fast—no lag for the admin UI. Ready to fire up the script.
Sounds good, just ping me once the option is saved and we’ll hook the AJAX up. Keep the JSON tidy and we’ll make the block snappy. Let's do it!