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        <title>Api on Visualizing.JP</title>
        <link>https://visualizing.jp/en/tags/api/</link>
        <description>Recent content in Api on Visualizing.JP</description>
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        <language>en-US</language>
        <copyright>Yuichi Yazaki</copyright>
        <lastBuildDate>Sun, 22 Sep 2013 00:00:00 +0900</lastBuildDate><atom:link href="https://visualizing.jp/en/tags/api/index.xml" rel="self" type="application/rss+xml" /><item>
        <title>D3: Data Formats and Requests</title>
        <link>https://visualizing.jp/en/d3-requests/</link>
        <pubDate>Sun, 22 Sep 2013 00:00:00 +0900</pubDate>
        
        <guid>https://visualizing.jp/en/d3-requests/</guid>
        <description>&lt;img src="https://visualizing.jp/d3-requests/images/fi_D3DatFormat.png" alt="Featured image of post D3: Data Formats and Requests" /&gt;&lt;p&gt;This article introduces D3: Data Formats and Requests 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;D3: Data Formats and Requests 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>
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