Skip to main content

Data-quality diagnosis

Why Your CSV Data Quality Score Is Low

Turn a low quality score into specific checks for missing values, duplicates, inconsistent types and structural defects.

Use the matching tool

CSV Completeness Score

Open CSV Completeness Score

What the error actually means

A composite score summarizes several signals and cannot decide whether the dataset is fit for its purpose. A low score is a triage prompt. The useful output is the underlying defect list, its affected columns and the business consequences.

Likely causes

  • Required fields are missing.
  • Duplicate rows or keys exist.
  • Columns contain mixed types.
  • Field counts or headers are inconsistent.

Actionable diagnosis

Problem

Quality score 62, therefore reject the file

Correct pattern

Identify which checks reduced the score and assess them against the intended use

A safe repair workflow

  1. 1This score measures missing values only. It does not establish correctness, consistency, or fitness for a particular use.
  2. 2Review component findings.
  3. 3Prioritize defects affecting key fields.
  4. 4Correct source-system problems where possible.
  5. 5Recalculate and compare the detailed report.

How to verify the result

A file that downloads successfully is not automatically a correct file. Check the result at both the structural and business-data levels:

  • Critical fields meet requirements.
  • Improvements trace to real corrections.
  • No valid exceptions were erased.
  • The dataset passes destination checks.

Read the deeper guides

Diagnose a Broken CSV Before You Try to Repair ItA methodical way to identify delimiter, encoding, header, quoting, row-shape, and type problems before a CSV reaches Excel, a CRM, or a database.How to Clean CSV Data Without Hiding the Original ProblemsLearn practical techniques to clean messy CSV files. Remove duplicates, fix formatting, and standardize data without Excel crashes or complex scripts.