Datarevamper

Upload a CSV or Excel file, choose cleaning rules, run cleaning, and download the cleaned file.

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Datarevamper

Upload a CSV or Excel file, choose cleaning rules, run cleaning, and download the cleaned file.

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Max file size: 15MB

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Running a full dataset scan and detecting issues.
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Auto-detection summary

ISSUES AND SUGGESTED FIXES FOUND IN YOUR UPLOADED DATASET

DataRevamper scans your uploaded dataset and highlights detected issues before Step 1.

Upload a dataset to see detected issues here.

Suggested fixes

Upload a dataset to see suggested fixes here.

STEP 1 — STRUCTURE CHECK & MULTI-FIELD DETECTION

Exact filename loaded:

Sheet name(s):

Selected sheet:

Number of rows:

Number of columns:

Do you want to split a column?

NO AUTO SPLIT 👑 MANUAL SPLIT 👑

STEP 2 — DATASET INSPECTION

Rename columns 👑

STEP 3 — DUPLICATE HANDLING 👑

Identifier columns for duplicate counting/removal

Do you want to handle duplicate?

No Yes

Choose duplicate removal basis

Entire-row duplicates only Based on the selected identifier column(s)

STEP 4 — COLUMN INTENT MAPPING

Auto-detected date columns

Do you want to delete any columns?

STEP 5 — MERGE COLUMNS INTO ONE 👑

No Yes

STEP 6 — ROW QUALITY CHECK 👑

Delete fully empty rows

Delete rows with only 1 non-empty value

Rows are checked automatically during preview and execution.

STEP 7 — CLEANING RULES

ℹ️ Replacing values in numeric columns may change them to text and disable numeric calculations...

STEP 8 — OUTLIER DETECTION 👑

STEP 9 — EXTRACT ROWS BY CONDITIONS 👑

STEP 10 — OPTIONAL FEATURE ENGINEERING 👑

No Yes

STEP 11 — CALCULATIONS

Do you want to perform summary calculations?

No Yes

Do you want to apply a percentage increment? 👑

No Yes

Do you want to perform any calculation? 👑

No Yes

RULE CHECKLIST — PRE-EXECUTION

Checklist will update when you preview changes.

PREVIEW BEFORE APPLY

DOWNLOAD CLEANED OUTPUT

Type exactly: Proceed with cleaning exactly as approved above.