My current challenge is a kombinasi dari keduanya—technical and non-technical. On the technology side, I require Pengembangan perangkat lunak that focuses squarely on Analisis data. On the non-tech side, the new tool must plug smoothly into our existing processes and help the team interpret insights for better day-to-day decisions. Here is what I expect: • A lightweight, custom-built application (desktop or web-based—whichever you recommend for performance and maintainability) that ingests our raw datasets, cleans them, and produces interactive visual summaries. • Clear, well-commented source code plus a concise user guide so my non-technical colleagues can run analyses without needing to write scripts. • A brief hand-off session where you walk me through the architecture, data flow, and any future extension points. Python, R, or a modern JavaScript stack are all acceptable; choose whichever lets you deliver robust analytics fast. Feel free to introduce proven libraries such as Pandas, NumPy, or D3.js if they accelerate development. Acceptance criteria 1. The application loads sample data I provide and returns the same statistical outputs we currently obtain manually. 2. All major functions are covered by unit tests. 3. Documentation is complete enough for a new team member to reproduce the analysis in under 30 minutes. If this aligns with your expertise, let’s get started right away.