Interactive Dashboard

2026-08-15Planned

A dashboard that turns a raw dataset into a small set of decision-focused views, with notes on the metric choices and design decisions behind it.

visualization dashboards streamlit metrics

Planned — write-up coming

This write-up will be completed as the project is finished. The sections below show the problem and intended approach; results only get added once they’re real.

Problem

Dashboards fail more often from unclear purpose than from bad charts — twenty views nobody reads instead of three that answer real questions. This project builds a dashboard the way an analyst embedded in a team would: define who it's for and which decisions it supports, then design the smallest set of views that serves them. [PLACEHOLDER: name the dataset and audience once chosen.]

Approach

Define the audience and the two or three decisions the dashboard should support, choose metrics deliberately, and document why each view exists. Fewer, better views over exhaustive charts — with the reasoning written down alongside the code.

Intended workflow: define the audience and decisions, choose metrics deliberately, design the fewest views that answer the questions — cutting views that go unused — then ship with design notes. — intended workflow

Result

Results will be published when the project is complete. No metrics appear here until they’re real.

demo video

a short recorded walkthrough goes here once the project is complete

What I'd do differently

Filled in honestly once the project is done — including what didn’t work and what I’d change with hindsight.

repo and notebook links will be added when the project is published