<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Csv Troubleshooting on Ghafoor's Personal Blog</title><link>http://ghafoorsblog.com/tags/csv-troubleshooting/</link><description>Recent content in Csv Troubleshooting on Ghafoor's Personal Blog</description><generator>Hugo</generator><language>en</language><managingEditor>noreply@example.com (AG Sayyed)</managingEditor><webMaster>noreply@example.com (AG Sayyed)</webMaster><copyright>Copyright © 2024-2026 AG Sayyed. All Rights Reserved.</copyright><lastBuildDate>Thu, 16 Apr 2026 17:23:48 +0100</lastBuildDate><atom:link href="http://ghafoorsblog.com/tags/csv-troubleshooting/index.xml" rel="self" type="application/rss+xml"/><item><title>Finding Invalid Data</title><link>http://ghafoorsblog.com/courses/google/it-automation-content/it-automation-python-pcert/04-troubleshooting-debugging/01-module/012-finding-invalid-data/</link><pubDate>Tue, 11 Nov 2025 14:32:19 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/courses/google/it-automation-content/it-automation-python-pcert/04-troubleshooting-debugging/01-module/012-finding-invalid-data/</guid><description>&lt;p class="lead text-primary"&gt;
This document presents a hands-on troubleshooting case study demonstrating the bisecting technique in action. It walks through identifying corrupt data in a 100-line CSV file that causes import failures, using command-line utilities to systematically narrow down the problem from 100 lines to a single malformed field, then implementing both immediate fixes and long-term preventive solutions.
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&lt;h2 id="the-problem-scenario"&gt;The Problem Scenario&lt;/h2&gt;
&lt;p&gt;A program that reads data from a CSV file, processes it, and imports it into a database encounters a failure. A user reports that their file import fails with an obscure import error and provides the problematic file for investigation.&lt;/p&gt;</description></item></channel></rss>