Characteristic Polynomial Calculator Data Workflows

This dashboard assists a product data manager in preparing a global product catalog for ERP onboarding by identifying structural bloat and missing attributes. A waterfall chart illustrates the primary data issue, showing that out of 44.9K raw catalog rows, 42.1K are removed as duplicates, which leaves only 2.8K true unique variants. To resolve these specific blockers, a prioritized cleanup plan outlines actionable steps, focusing first on the massive 93.9 percent duplicate rate and then addressing 27.5K missing best for values.

What it shows:

Identifies and prioritizes data blockers to ensure a clean catalog load.

A developer relations analyst needed to transform raw, multi-select survey data into clear adoption metrics without relying on brittle manual scripts. This dashboard automates the decomposition and deduplication of survey responses, revealing that JavaScript leads overall language adoption at 57.4 percent while Python dominates student respondents at 74.4 percent. A split-panel horizontal bar chart further compares top databases and developer tools, which provides stakeholders with an immediate, accurate view of actual tool usage across the entire developer ecosystem.

What it shows:

Transforms delimited survey data into accurate developer tool adoption metrics.