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<span class="line"><span style="color:#24292E;">About 4.02% of the data sites are missing from the structure.</span></span>
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<span class="line"><span style="color:#24292E;">Success! The visualization JSON was written to &#39;./REGN_escape.json&#39;</span></span></code></pre></div><p>This message provides some information from the <code>configure-dms-viz format</code> command for your dataset. In addition to this message, there will be a <code>.json</code> file located where you specified the output path.</p><p>This is how you use <code>configure-dms-viz</code> to format a single dataset. You can optionally combine multiple datasets into a single <code>.json</code> specification file using the <code>configure-dms-viz join</code> command which takes a list of <code>.json</code> files as arguments along with an optional description of the datasets. For more details on combining datasets, check out the <a href="/dms-viz-docs/preparing-data/command-line-api/">API</a>.</p><p>For now, since we&#39;re only visualizing a single dataset, we can skip this step. In the next section, you&#39;ll take this <code>.json</code> visualization file and visualize your data with <a href="https://dms-viz.github.io/" target="_blank" rel="noreferrer"><strong><code>dms-viz</code></strong></a>.</p><h2 id="visualizing" tabindex="-1">Visualizing <a class="header-anchor" href="#visualizing" aria-label="Permalink to &quot;Visualizing&quot;"></a></h2><p>There are two ways to upload data into <strong><code>dms-viz</code></strong>. You can either upload a <strong>local</strong> specification file from your computer, or you can provide a link to a <strong>remote</strong> specification file hosted somewhere like <a href="https://github.com/" target="_blank" rel="noreferrer">GitHub</a>.</p><h3 id="local" tabindex="-1">Local <a class="header-anchor" href="#local" aria-label="Permalink to &quot;Local&quot;"></a></h3><p>To upload a local file, you simply click on the <code>Upload Data</code> section and choose a file from your machine.</p><div align="center"><img src="/dms-viz-docs/assets/local-upload-example.593c8d71.png" alt="Local Upload"></div><p>Since the <code>.json</code> file created above should now be stored locally on your machine, you can upload this file using this approach.</p><h3 id="remote" tabindex="-1">Remote <a class="header-anchor" href="#remote" aria-label="Permalink to &quot;Remote&quot;"></a></h3><p>Alternatively, if your <code>.json</code> specification file is hosted somewhere online – like on GitHub, for example – you can provide the link to this file by clicking on the <code>Remote</code> button under the <code>Upload Data</code> section.</p><div align="center"><img src="/dms-viz-docs/assets/remote-upload-example.32c47a22.png" alt="Remote Upload"></div><p>You can try it yourself by pasting the following link into the URL text box:</p><div class="language-md vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">md</span><pre class="shiki github-dark vp-code-dark"><code><span class="line"><span style="color:#E1E4E8;">https://raw.githubusercontent.com/dms-viz/configure_dms_viz/main/tests/SARS2-RBD-REGN-DMS/output/SARS2-RBD-REGN-DMS.json</span></span></code></pre><pre class="shiki github-light vp-code-light"><code><span class="line"><span style="color:#24292E;">https://raw.githubusercontent.com/dms-viz/configure_dms_viz/main/tests/SARS2-RBD-REGN-DMS/output/SARS2-RBD-REGN-DMS.json</span></span></code></pre></div><p>This approach has some advantages. <strong><code>dms-viz</code></strong> includes the link to your remotely stored specification in the URL, allowing you to share your visualization with the data pre-loaded. Another advantage of this approach is that changes made to the appearance of <strong><code>dms-viz</code></strong> are saved in the URL as well.</p><p>For more details on using the web-based interface of <strong><code>dms-viz</code></strong> including hosting, interacting, and sharing your files, check out the <a href="/dms-viz-docs/visualizing-data/web-tool-api/">interaction reference</a>.</p></div></div></main><footer class="VPDocFooter" data-v-a3c25e27 data-v-a2d931e4><!--[--><!--]--><!----><nav class="prev-next" data-v-a2d931e4><div class="pager" data-v-a2d931e4><a class="pager-link prev" href="/dms-viz-docs/introduction/what-is-dms-viz/" data-v-a2d931e4><span class="desc" data-v-a2d931e4>Previous page</span><span class="title" data-v-a2d931e4>What is dms-viz?</span></a></div><div class="pager" data-v-a2d931e4><a class="pager-link next" href="/dms-viz-docs/preparing-data/data-requirements/" data-v-a2d931e4><span class="desc" data-v-a2d931e4>Next page</span><span class="title" data-v-a2d931e4>Data Requirements</span></a></div></nav></footer><!--[--><!--]--></div></div></div><!--[--><!--]--></div></div><footer class="VPFooter has-sidebar" data-v-4064354f data-v-e4279f1c><div class="container" data-v-e4279f1c><!----><p class="copyright" data-v-e4279f1c>Copyright © 2023-present <a href='https://research.fredhutch.org/bloom/en.html'>Bloom Lab</a></p></div></footer><!--[--><!--]--></div></div>
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