Local-first converters, viewers, and file tools
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브라우저에서 CSV 작업에 대한 실용적 도움과 2025년 프라이버시·도구 맥락. 글 80편.
인사이트·약 9분 읽기
A decision lens for picking between browser CSV viewers, Excel and Google Sheets, and full BI stacks, based on collaboration, governance, and file size.
제품 가이드·약 7분 읽기
How browser-based CSV compare works: matching columns, row alignment, difference counts, and when to pre-process exports, plus where to try it in Table.
제품 가이드·약 9분 읽기
A practical overview of browser-based CSV viewers, how they differ from desktop spreadsheets, and how teams use them for fast, local-first data review.
제품 가이드·약 8분 읽기
How to edit tabular data in a browser grid, when to use row and column operations, and why undo/redo matters for trustworthy ad hoc cleanup.
제품 가이드·약 6분 읽기
Best practices for downloading CSV from a browser viewer, preserving headers, handling commas in fields, and handing off to Excel, databases, or pipelines.
인사이트·약 10분 읽기
How client-side CSV processing maps to modern privacy expectations, regional regulations, and vendor risk reviews, without marketing fluff.
인사이트·약 7분 읽기
Why paginated grids help with big tables, how virtual scrolling relates to page size, and what to expect when opening wide or long CSV exports.
제품 가이드·약 8분 읽기
Step-by-step patterns for sorting columns, applying filters, and searching cell text in browser-based CSV grids, plus tips for faster QA on exports.
제품 가이드·약 6분 읽기
ARIA grid roles, focus order, and pragmatic limits when virtualizing tens of thousands of rows.
제품 가이드·약 5분 읽기
Engine and memory profiles differ slightly; same dataset may feel smoother in one browser on marginal hardware.