<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CSV Files on The Textsmith Magazine</title><link>https://magazine.thetextsmith.com/tags/csv-files/</link><description>Recent content in CSV Files on The Textsmith Magazine</description><generator>Hugo</generator><language>en-gb</language><lastBuildDate>Sat, 01 Aug 2026 07:10:20 +0200</lastBuildDate><atom:link href="https://magazine.thetextsmith.com/tags/csv-files/index.xml" rel="self" type="application/rss+xml"/><item><title>Dirty Data: Why Cleaning Takes Longer Than Analysis</title><link>https://magazine.thetextsmith.com/data-analysis/dirty-data-why-cleaning-takes-longer-than-analysis/</link><pubDate>Sat, 01 Aug 2026 07:10:20 +0200</pubDate><guid>https://magazine.thetextsmith.com/data-analysis/dirty-data-why-cleaning-takes-longer-than-analysis/</guid><description>It is a universal truth that textsmiths work with data formats. Yet formats are attempts to impose structure on messy reality, but no format can decide what the right structure is for you. So in this article, we are going to look at what data cleaning is.</description></item></channel></rss>