<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
    <channel>
        <title>Openrefine on Visualizing.JP</title>
        <link>https://visualizing.jp/en/tags/openrefine/</link>
        <description>Recent content in Openrefine on Visualizing.JP</description>
        <generator>Hugo -- gohugo.io</generator>
        <language>en-US</language>
        <copyright>Yuichi Yazaki</copyright>
        <lastBuildDate>Sun, 19 Nov 2023 00:00:00 +0900</lastBuildDate><atom:link href="https://visualizing.jp/en/tags/openrefine/index.xml" rel="self" type="application/rss+xml" /><item>
        <title>Unpivoting Pivot Tables in OpenRefine</title>
        <link>https://visualizing.jp/en/openrefine-reverse-pivot/</link>
        <pubDate>Sun, 19 Nov 2023 00:00:00 +0900</pubDate>
        
        <guid>https://visualizing.jp/en/openrefine-reverse-pivot/</guid>
        <description>&lt;img src="https://visualizing.jp/openrefine-reverse-pivot/images/image_3hours_refine.png" alt="Featured image of post Unpivoting Pivot Tables in OpenRefine" /&gt;&lt;p&gt;This article introduces Unpivoting Pivot Tables in OpenRefine from a practical data visualization workflow perspective.&lt;/p&gt;
&lt;p&gt;The emphasis is on how the tool, format, or workflow fits into practical visualization work.&lt;/p&gt;
&lt;h2 id=&#34;practical-context&#34;&gt;Practical Context
&lt;/h2&gt;&lt;p&gt;A tool or format matters because it changes what can be produced, repeated, shared, or maintained. The important question is not only whether it works once, but whether it supports a reliable workflow with clear inputs and outputs.&lt;/p&gt;
&lt;h2 id=&#34;workflow-notes&#34;&gt;Workflow Notes
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;Check the data format and assumptions before adopting the workflow.&lt;/li&gt;
&lt;li&gt;Separate one-time setup issues from repeatable production steps.&lt;/li&gt;
&lt;li&gt;Document version, data source, and conversion settings when reproducibility matters.&lt;/li&gt;
&lt;li&gt;Prefer simple outputs first, then add interaction or styling after the data is correct.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;Unpivoting Pivot Tables in OpenRefine is relevant as part of the broader craft of preparing, transforming, and publishing data. The value comes from understanding both the technical mechanism and the communication task it supports.&lt;/p&gt;</description>
        </item>
        <item>
        <title>OpenRefine: GREL Date Function Pattern Characters</title>
        <link>https://visualizing.jp/en/open-refine-grel-date/</link>
        <pubDate>Sat, 23 Nov 2019 00:00:00 +0900</pubDate>
        
        <guid>https://visualizing.jp/en/open-refine-grel-date/</guid>
        <description>&lt;img src="https://visualizing.jp/open-refine-grel-date/images/image_3hours_refine.png" alt="Featured image of post OpenRefine: GREL Date Function Pattern Characters" /&gt;&lt;p&gt;This article introduces OpenRefine: GREL Date Function Pattern Characters from a practical data visualization workflow perspective.&lt;/p&gt;
&lt;p&gt;The emphasis is on how the tool, format, or workflow fits into practical visualization work.&lt;/p&gt;
&lt;h2 id=&#34;practical-context&#34;&gt;Practical Context
&lt;/h2&gt;&lt;p&gt;A tool or format matters because it changes what can be produced, repeated, shared, or maintained. The important question is not only whether it works once, but whether it supports a reliable workflow with clear inputs and outputs.&lt;/p&gt;
&lt;h2 id=&#34;workflow-notes&#34;&gt;Workflow Notes
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;Check the data format and assumptions before adopting the workflow.&lt;/li&gt;
&lt;li&gt;Separate one-time setup issues from repeatable production steps.&lt;/li&gt;
&lt;li&gt;Document version, data source, and conversion settings when reproducibility matters.&lt;/li&gt;
&lt;li&gt;Prefer simple outputs first, then add interaction or styling after the data is correct.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;OpenRefine: GREL Date Function Pattern Characters is relevant as part of the broader craft of preparing, transforming, and publishing data. The value comes from understanding both the technical mechanism and the communication task it supports.&lt;/p&gt;</description>
        </item>
        
    </channel>
</rss>
