CSV & Spreadsheet Data Quality
12 articles
- May 21, 2026
How to Check Data Quality in Excel Spreadsheets
Excel has built-in tools for checking data quality — if you know which ones to use. Here's a practical guide to assessing data quality directly in Excel.
- May 21, 2026
Why Your CSV Data Is Inconsistent (And How to Fix It)
CSV inconsistency comes from predictable sources: multiple contributors, merged exports, and no enforced standards. Here's how to find and fix it.
- May 21, 2026
How to Validate Email Addresses in Bulk Without Coding
Validating hundreds or thousands of email addresses doesn't require code. Here's how to bulk-validate your list and catch invalid addresses before they damage deliverability.
- May 21, 2026
How to Handle Missing Values in a CSV File
Missing values in CSV files aren't all the same — and the right way to handle them depends on why they're missing. Here's the decision framework.
- May 21, 2026
The Most Common CSV Errors and How to Fix Them
CSV files fail imports for the same reasons over and over. Here are the most common CSV errors, why they happen, and exactly how to fix each one.
- May 21, 2026
The Most Common Data Entry Errors and How to Catch Them Automatically
Human data entry introduces the same errors repeatedly — transpositions, wrong fields, truncated values, and placeholder text. Here's how to catch them automatically.
- May 21, 2026
How to Validate a CSV File Before Importing It Into Any System
Importing a bad CSV creates problems that are 10x harder to fix than catching them before the import. Here's a pre-import validation checklist for any system.
- May 21, 2026
How to Validate Phone Numbers in a Spreadsheet
Phone numbers in spreadsheets are notoriously inconsistent — wrong lengths, wrong formats, missing country codes. Here's how to validate and standardize them.
- May 21, 2026
How to Audit a Vendor-Supplied Data File Before Using It
Vendor data files arrive with unknown quality. Using them without auditing creates problems you can't trace back to the source. Here's the vendor data audit checklist.
- May 21, 2026
How to Find Duplicate Records in a CSV File
Duplicate records inflate counts, cause double-sends, and split customer history. Here's how to find them in a CSV file — with and without specialized tools.
- May 21, 2026
How to Standardize Date Formats Across Your Dataset
Mixed date formats — DD/MM/YYYY, MM/DD/YYYY, YYYY-MM-DD — break every calculation and report they touch. Here's how to standardize them without chaos.
- May 21, 2026
How to Detect Schema Changes in Your Data Files Over Time
Data files that change structure over time — new columns, removed columns, renamed headers — silently break imports and analyses. Here's how to detect these changes early.