https://visualizing.jp/en/tags/%E3%82%AF%E3%83%AC%E3%83%B3%E3%82%B8%E3%83%B3%E3%82%B0/ Recent content in クレンジング on Visualizing.JP Hugo -- gohugo.io en-US Yuichi Yazaki Sun, 19 Nov 2023 00:00:00 +0900 https://visualizing.jp/en/excel-reverse-pivot/ Sun, 19 Nov 2023 00:00:00 +0900 https://visualizing.jp/en/excel-reverse-pivot/ <img src="https://visualizing.jp/excel-reverse-pivot/images/thumb_ph_vizjp.png" alt="Featured image of post Unpivoting Pivot Tables in Excel" /><p>This article introduces Unpivoting Pivot Tables in Excel from a practical data visualization workflow perspective.</p> <p>The emphasis is on how the tool, format, or workflow fits into practical visualization work.</p> <h2 id="practical-context">Practical Context </h2><p>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.</p> <h2 id="workflow-notes">Workflow Notes </h2><ul> <li>Check the data format and assumptions before adopting the workflow.</li> <li>Separate one-time setup issues from repeatable production steps.</li> <li>Document version, data source, and conversion settings when reproducibility matters.</li> <li>Prefer simple outputs first, then add interaction or styling after the data is correct.</li> </ul> <h2 id="summary">Summary </h2><p>Unpivoting Pivot Tables in Excel 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.</p> https://visualizing.jp/en/openrefine-reverse-pivot/ Sun, 19 Nov 2023 00:00:00 +0900 https://visualizing.jp/en/openrefine-reverse-pivot/ <img src="https://visualizing.jp/openrefine-reverse-pivot/images/image_3hours_refine.png" alt="Featured image of post Unpivoting Pivot Tables in OpenRefine" /><p>This article introduces Unpivoting Pivot Tables in OpenRefine from a practical data visualization workflow perspective.</p> <p>The emphasis is on how the tool, format, or workflow fits into practical visualization work.</p> <h2 id="practical-context">Practical Context </h2><p>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.</p> <h2 id="workflow-notes">Workflow Notes </h2><ul> <li>Check the data format and assumptions before adopting the workflow.</li> <li>Separate one-time setup issues from repeatable production steps.</li> <li>Document version, data source, and conversion settings when reproducibility matters.</li> <li>Prefer simple outputs first, then add interaction or styling after the data is correct.</li> </ul> <h2 id="summary">Summary </h2><p>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.</p>