Data Cleaning Guides
Expert tutorials, tips, and best practices for preparing your spreadsheets, CSVs, and JSON files for analysis.
How to Clean Messy CSV Data Before Importing to a Database
Learn the essential steps to prepare and scrub your CSV files before they ruin your database imports.
The Ultimate Guide to Handling Missing Data in Spreadsheets
Missing values can skew your analytics. Learn when to drop them, when to fill them, and how to use forward-fill.
VLOOKUP vs. Joins: The Better Way to Merge Excel Files
Stop struggling with fragile VLOOKUP formulas. Learn how database-style joins provide a more robust way to combine datasets.
How to Anonymize Sensitive Data for GDPR Compliance
Sharing data safely is difficult. Learn how to mask PII (Personally Identifiable Information) before distributing your spreadsheets.
5 Signs Your Dataset is Ruining Your Analytics
Are your dashboards lying to you? Here are the 5 red flags that indicate your underlying data needs serious scrubbing.
A Beginner's Guide to Data Profiling
Before you can clean your data, you need to understand what's wrong with it. Learn how to profile your datasets effectively.
How to Split and Merge Excel Columns Without Formulas
Tired of writing complex LEFT, RIGHT, and FIND formulas? Learn how to visually split and merge data columns.
The Dangers of Duplicate Data (And How to Fix It)
Duplicate rows can inflate your metrics and ruin your marketing campaigns. Here is a reliable framework for deduplication.
Text Encoding Nightmares: Fixing Scrambled Characters in CSVs
Why do your CSV files look like "Café" instead of "Café"? A deep dive into UTF-8, Windows-1252, and text encoding.
JSON to CSV: Why Flattening Data is So Difficult
Converting nested JSON API responses into flat CSV rows is notoriously tricky. Learn the concepts behind data flattening.