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Detect Data Quality Issues in Your CSV Files in Seconds

Upload your CSV and Chilcy automatically scans for missing values, formatting problems, and data inconsistencies — giving you a quality score in under 10 seconds.

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Why Data Quality Matters

Bad data leads to bad decisions. When your CSV contains hidden errors — missing values, inconsistent date formats, or duplicate records — any analysis built on top of it will be unreliable. Businesses lose time, money, and trust because of preventable data quality issues.

Common problems include:

  • Missing values in key columns
  • Inconsistent date formats (MM/DD/YYYY vs YYYY-MM-DD)
  • Duplicate rows that inflate totals
  • Numeric values stored as text (e.g. "1,200" instead of 1200)
  • Column name mismatches across files

Chilcy scans your entire dataset and identifies these issues instantly — before they corrupt your analysis.

What Chilcy Checks

Our free CSV quality checker runs six automated checks on every file you upload:

  • Missing values — counts blank or null cells per column
  • Date format errors — detects mixed formats across date columns
  • Duplicate records — finds exact row duplicates
  • Incorrect numeric fields — identifies numbers stored as formatted text
  • Column inconsistencies — flags unexpected empty or malformed columns
  • Data completeness score — overall 0–100 quality rating

All checks run entirely in your browser. Your data is never sent to our servers.

Understanding Your Data Quality Score

After scanning your file, Chilcy displays a Data Quality Score from 0 to 100:

ScoreStatusMeaning
90–100🟢 ExcellentData ready for AI analysis
70–89🟡 GoodMinor issues detected
50–69🟠 WarningModerate data problems
Below 50🔴 PoorData must be cleaned first

Each detected issue reduces your score. Auto-fixable issues (numeric formatting, date standardisation, duplicates) can be corrected with one click.

After Your Data Quality Check

Once your data passes validation, Chilcy can generate AI-powered insights including:

  • KPI analysis — revenue, growth, margins, and trends
  • Risk alerts — anomalies and warning signals in your data
  • Executive summaries — plain-English business narrative
  • Forecast intelligence — where your metrics are heading
  • Performance comparisons — month-over-month and year-over-year

Before generating insights, make sure your data is clean. Run our free CSV Data Quality Checker first, then use Chilcy Sales Data Analysis or Business Data Insights to go deeper.

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Frequently Asked Questions

What is data quality in CSV files?
Data quality in CSV files refers to how accurate, complete, and consistent your data is. High-quality data has no missing values, consistent formatting, no duplicates, and correctly typed fields. Poor data quality leads to incorrect analysis and unreliable reports.
How do I check data quality in a CSV file?
You can check data quality by uploading your CSV to Chilcy's free checker. It automatically scans for missing values, date format inconsistencies, duplicate rows, and numeric errors — then gives you a quality score from 0 to 100.
Is my CSV data safe when I upload it?
Yes. All quality checks run entirely in your browser using JavaScript. Your file is never uploaded to Chilcy's servers. We never see your data.
What CSV file size is supported?
The free tool analyses up to 500 rows. For larger files, sign up for a Chilcy account where you can upload files with thousands of rows for full AI analysis.
Can Chilcy fix data quality issues automatically?
Yes. Chilcy can auto-fix numeric formatting (removing commas and currency symbols), standardise date formats to YYYY-MM-DD, and remove duplicate rows — all with a single click before you run your analysis.
What happens after I fix data quality issues?
Once your data is clean, you can upload it to Chilcy AI for full analysis. Chilcy generates executive KPI reports, identifies trends and risks, and answers business questions in plain English.
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