Round numeric CSV column values to specified decimal places
Round numeric CSV column values to a specified decimal precision or nearest integer/multiple.
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Why Onfyt: Supports round-to-multiple (nearest 5, 10, 100) in addition to decimal-place rounding—useful for price banding or bin assignment.
Interactive Sample Data
| item_id | raw_price | quantity |
|---|---|---|
| 101 | 19.9984 | 5 |
| 102 | 42.5021 | 3 |
How this tool works
Floating-point arithmetic in databases and APIs produces values like 4500.333333333333 that exceed useful precision. Before storing in a database column or passing to a UI, rounding to meaningful precision (2 decimal places for currency, 6 for GPS coordinates, 0 for counts) is standard. JavaScript's toFixed(), Python's round(), and SQL's ROUND() all do this—DataFix brings the operation to CSV files.
Floating-point arithmetic anomalies (such as 19.999999999999996) and excessive decimal precision clutter business reports and cause rounding discrepancies in financial statements. DataFix provides configurable decimal rounding (standard half-up, floor, ceil, or bank rounding) across numeric columns, allowing users to format currency, percentages, and metrics to clean, consistent decimal places.
Rounding decimal precision standardizes financial metrics and analytical calculations to consistent decimal places, eliminating floating-point rounding artifacts.
Rounding decimal numbers eliminates floating-point arithmetic artifacts and standardizes financial metrics to required precision levels. Our rounding engine supports standard half-up rounding, floor, ceiling, and financial bank rounding with configurable decimal place thresholds.
Configuring rounding behavior is essential when balancing accounting ledgers where fractional rounding differences must sum to zero. Our engine supports half-up, half-even (banker's rounding), and truncation to match destination financial regulations.
Configuring decimal rounding standardizes financial metrics to required precision levels, eliminating floating-point rounding artifacts. Clean rounded figures ensure consistent reporting across customer invoices and balance sheets. Significant figure rounding options accommodate scientific and laboratory datasets where rounding to specific significant digits is required over fixed decimals. Preserving trailing decimal zeroes ensures clean visual formatting across currency and financial summary tables.
Things that usually go wrong
- Rounding to 0 places turns 19.5 into 20 (standard rounding), not 19.
- Currency columns should be rounded to 2 decimal places, not 0.
Edge cases we tested
🧪 Banker's rounding (round half to even)
Standard round-half-up by default; banker's rounding available as option.
🧪 Value exactly at 0.5
Rounds up by default (4500.5 → 4501).
Frequently Asked Questions
What rounding method is used?
Half-up (also called 'commercial rounding'): 0.5 rounds to 1, -0.5 rounds to 0.
Can I round to the nearest 5 or 10?
Round to 0 decimal places first, then divide by 5 and round to 0, then multiply by 5 — or use the Add a Calculated Column tool.
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