Blog
Product updates, data engineering tips, and privacy insights from the Mungr team. Learn how to clean large CSVs locally in your browser, compare tools like Alteryx and OpenRefine, and keep sensitive data compliant without uploads.
New to data cleaning? Start with our Data Cleaning 101 guide or see how Mungr compares to other tools.
Data Cleaning in SQL: A Practical Guide With Examples
Learn how to clean data in SQL: trim whitespace, fix casing, standardize dates, handle nulls, and remove duplicates — with DuckDB SQL you can run right in the browser.
Hendri · 4 min read · Sep 30, 2026
Data Quality Framework: How to Build One, With Tests and Examples
A data quality framework turns vague quality concerns into tests that catch bad data before it breaks reports. Here's how to set up quality rules, run them, and maintain them — with ready-to-copy examples.
Hendri · 7 min read · Sep 30, 2026
Data Normalization: What It Means, When to Use It, and How to Do It
Data normalization means two different things: cleaning values into one consistent format, and removing redundancy in databases. Here's what both mean, with step-by-step examples you can run on any dataset.
Hendri · 8 min read · Sep 30, 2026
Master Patient Index: How to Clean Duplicate Patient Records Without Uploading PHI
A master patient index keeps one record per patient. Here's how to clean duplicate patient records — normalize names, dates, phones, and IDs, dedupe safely, and review near-matches — without ever uploading PHI.
Hendri · 7 min read · Sep 29, 2026
CRM Data Cleansing: How to Keep Your CRM Accurate Without Losing Leads
CRM data goes stale fast. Learn how to clean your CRM export—deduplicate contacts, fix names and emails, handle missing fields—without uploading sensitive customer data.
Hendri · 5 min read · Sep 29, 2026
Data Cleaning in Excel: Step-by-Step Guide (and When to Switch Tools)
Learn how to clean data in Excel step by step: trim whitespace, fix casing, standardize dates, remove duplicates, and handle missing values. Plus when to switch to a dedicated cleaning tool.
Hendri · 6 min read · Sep 29, 2026
Data Cleaning Services vs Tools: Should You Hire or Do It Yourself?
Should you hire a data cleaning service or use a tool yourself? We compare cost, turnaround, privacy, and control — and when a browser-based tool like Mungr is the faster choice.
Hendri · 5 min read · Sep 28, 2026
Clean Dataset: How to Get a Truly Clean Dataset From a Messy File
What makes a dataset truly clean? Learn the checks for a clean dataset, high data cleanliness, and dataset cleaning — with a repeatable recipe for your next file.
Hendri · 4 min read · Sep 28, 2026
Data Cleaning for Power BI and Tableau: Fix the File Before You Visualize
Clean data before connecting Power BI or Tableau: trim whitespace, standardize dates to YYYY-MM-DD, remove duplicates, and fix casing so dashboards stop showing wrong numbers.
Hendri · 3 min read · Sep 28, 2026
AI Data Cleaning Tools: What Actually Helps in 2026
AI data cleaning tools promise to fix messy files automatically. Here's what AI actually does well, where it still needs you, and how to use it without uploading sensitive data.
Hendri · 4 min read · Sep 17, 2026
Data Quality Guide: What It Is, How to Measure It, and How to Fix It
What is data quality? Learn the 6 dimensions, how to measure them, and how cleaning fixes the most common quality issues — without uploading sensitive data.
Hendri · 5 min read · Sep 17, 2026
Database Cleansing vs Data Cleaning: Are They the Same?
Database cleansing, dataset cleaning, and data cleanliness all mean the same job: fixing messy, duplicate, and inconsistent data. Here's why the terms differ and how to handle each.
Hendri · 4 min read · Sep 16, 2026
Data Cleaning in Python vs No-Code Tools: When to Use Which
Should you clean data in Python or use a no-code tool? We compare pandas, OpenRefine, and browser-based options on speed, privacy, and who each one is really for.
Hendri · 7 min read · Sep 16, 2026
Data Munging Explained: What It Means and How It Relates to Cleaning and Wrangling
Data munging means reshaping and cleaning raw data so you can analyze it. Learn how munging relates to cleaning and wrangling, and when you'd actually use the term.
Hendri · 4 min read · Sep 16, 2026
Address Cleansing: How to Standardize Addresses Without Losing Data
Learn how to clean and standardize addresses: fix casing, abbreviations, and parsing — without losing data or uploading sensitive address lists.
Hendri · 4 min read · Sep 15, 2026
Healthcare Data Analyst: How to Clean Patient Data Without Violating HIPAA
Healthcare data analysts spend hours cleaning patient data that can't be uploaded anywhere. Here's a HIPAA-safe workflow for claims, EHR exports, and quality reporting - no code, no upload.
Hendri · 7 min read · Sep 15, 2026
From Healthcare Data Analyst to Senior: Career Path and Tools That Help You Get There
Want to grow from healthcare data analyst to senior? Here's the real career path, the skills that matter most, and the tools that help you get there faster.
Hendri · 5 min read · Sep 14, 2026
Data Cleaning for Machine Learning: What to Fix Before You Train
Bad training data makes bad models. Learn what to clean before you train: duplicates, missing values, inconsistent formats, and leakage - without uploading your dataset.
Hendri · 4 min read · Sep 13, 2026
The Best Free Data Cleaning Tools in 2026 (No-Code & No-Upload Options)
Looking for free data cleaning tools? We rounded up the best free options in 2026 - browser-based, no-install, and spreadsheet tools - including free tools that don't upload your data.
Hendri · 7 min read · Sep 09, 2026
The 10 Best Data Cleaning Tools for 2026 (Free & Paid, Compared)
We compared the best data cleaning tools for 2026 free and paid for large files, privacy-sensitive data, and no-code workflows. Includes a comparison table and how to choose.
Hendri · 8 min read · Sep 09, 2026
Data Cleansing and Normalization: What They Are and How They Work Together
Data cleansing fixes errors and duplicates. Normalization puts the clean data into a consistent structure. Here's how they work together, with a step-by-step recipe for your next file.
Hendri · 5 min read · Sep 08, 2026
What Is a Data Cleaning Tool? A Plain-English Guide
A data cleaning tool fixes messy, incomplete, or duplicate data so you can analyze it accurately. Here's how they work, what to look for, and when you need one.
Hendri · 6 min read · Sep 08, 2026
How to Clean a Large CSV Without Writing Code or Uploading Your Data
Learn how to clean a large CSV file without writing Python or SQL — and without uploading sensitive data. A step-by-step recipe for trimming, dates, duplicates, and nulls.
Hendri · 7 min read · Sep 07, 2026
WinPure Clean & Match: Pricing, Reviews, and How It Compares to Mungr
Looking for WinPure Clean & Match reviews and pricing? We looked at what users say, what it does well, and when a browser-based alternative like Mungr is the simpler fit.
Hendri · 6 min read · Sep 07, 2026
What you'll find here
We publish practical guides for analysts, engineers, and privacy-conscious teams: how to handle PII, standardize dates and casing, deduplicate without code, and build shareable cleaning recipes. Every post is written for people who work with real exports: messy, inconsistent, and too large for spreadsheets.
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