DATA / AVAILABLE
ROTICH Data Studio
A browser workspace for exploring tabular data without uploading the source file.
The problem
A spreadsheet can contain useful patterns, but a first inspection should not require a complicated analytics setup.
Implementation
CSV and XLSX inputs are parsed in a browser worker. Users select numeric columns, filter rows and inspect descriptive summaries and charts. Saving requires an account and stores a summary rather than the source workbook.
Architecture
- Browser file
- parser worker
- filtered records
- statistics and visualisation
- optional account-owned summary.
Technical challenge
Mixed data types, missing values and large files need explicit limits. A chart should never quietly substitute missing values with zero.
Outcome & limitations
The implementation includes reference-dataset tests, bounded imports and account-scoped saved summaries. It is an exploratory tool, not a substitute for a full statistical study.
My project
This is part of my ROTICH TECHNOLOGIES initiative. The implementation described above is available to inspect through the working example; it is not a claim of client delivery or sole authorship.
Technology: JavaScript. No public source repository is currently linked.
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