Quality score
Get a simple overall indicator that combines completeness and detected quality issues without hiding the underlying evidence.
EXCEL & CSV DATA QUALITY CHECKER
Check Excel and CSV data quality online.
Upload an Excel or CSV file and automatically check for missing values, duplicate rows, inconsistent data and unusual numeric values. Review the evidence before you clean, analyse or report on the dataset.
✓ Free to use✓ No login required✓ Missing-value checks✓ Duplicate detection✓ Outlier evidence
WHAT YOU CAN DO
Built for practical data work, not dashboard setup.
Missing values
See which fields contain gaps, how many values are missing and example records affected by those gaps.
Duplicates and inconsistencies
Review exact duplicate records and common consistency issues such as case differences or mixed date formats.
Outlier review
Use IQR-based outlier checks to identify unusual numeric values and inspect the records behind them before deciding whether they are errors.
EXAMPLE: EXCEL DATA QUALITY CHECK
See the issues before they distort your analysis.
For an illustrative 1,250-row sales file, a quality review might surface the checks below. Data Studio keeps the underlying records available so each issue can be reviewed rather than silently corrected.
- Use missing-value counts to identify fields that could weaken summaries or comparisons.
- Inspect duplicate records before removing them; repeated rows can sometimes be legitimate transactions.
- Treat outliers as evidence for review, not automatic errors.
WORKFLOW
A straightforward path from raw file to useful output.
Upload and analyse
Start with the normal Analyse Data workflow using your CSV or Excel file.
Open Data Quality
Review the live quality score directly from Overview or open the dedicated Data Quality tab.
Inspect the evidence
Drill into missing values, duplicates, inconsistencies, outliers and the raw data preview.
Clean only when needed
Use the separate Clean My Data tool when you want to create a corrected copy instead of silently changing source values.
USE CASES
Useful when you need a fast answer from everyday business data.
Pre-analysis validationExcel handover checksImported system extractsSurvey response cleanupMonthly file QAData migration review
FAQ
Common questions
How do I check Excel data quality online?
Upload the Excel workbook to Azhan Data Studio, choose the sheet you want to analyse and open Data Quality. The tool checks completeness, duplicates, inconsistencies and numeric outliers while keeping affected records available for review.
Does the checker automatically change my data?
No. The Data Quality Centre is diagnostic first. It shows issues and affected records so you can review them before choosing whether to clean a copy.
How are outliers detected?
Numeric outlier checks use an interquartile-range approach to flag values outside the expected range. A flagged value is not automatically treated as wrong; it is evidence for review.
Can I remove duplicates and clean common issues?
Yes. The separate Clean My Data workflow can remove duplicate rows, blank rows and whitespace, clean headers and standardise selected formats before downloading a cleaned copy.
Why review quality before insights?
Missing, duplicated or inconsistent data can distort summaries and comparisons. Reviewing quality first helps you understand how much confidence to place in downstream analysis.
TRY IT FREE
Check my datasetReady to work with your own data?
Open Azhan Data Studio, upload a CSV or Excel file and use the tool directly in your browser.