Build story
Data Visualization Tools
This isn't one product — it's a kind of build I've done again and again. A heat map over static data is a same-day job. A full interactive interface over dynamic data takes one to two weeks. The spread is almost entirely about the data, not the chart.
The range
- Same-day heat maps over static datasets — the fastest way to make a pattern visible to someone who has been staring at a spreadsheet
- CSV-import tools — drop a file in, get an explorable view out; no engineer needed for the next file
- Selection-driven interfaces — filter, drill, compare; built around the questions the user actually asks
- Real-time dashboards — live feeds, updating without a refresh
- Data enrichment — filling the gaps in a dataset before it's visualized, so the picture is whole
Why the chart is never the goal
I spent years as a data and product analyst building reporting in Periscope and Sisense before I built tools of my own. The lesson from that seat: nobody needs a chart — they need the decision the chart unlocks. So the first question is never "what should this look like," it's "what are you going to do differently once you can see it."
A category like this doesn't reduce to one screenshot — tell me what your data looks like and I'll tell you what I'd build and how fast.
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