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<oembed><version>1.0</version><provider_name>Glosarix</provider_name><provider_url>https://glosarix.com/en/</provider_url><author_name>Team Glosarix</author_name><author_url>https://glosarix.com/en/author/adm_glosarix/</author_url><title>Temporal Analysis - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="8eJWPuPfia"&gt;&lt;a href="https://glosarix.com/en/glossary/temporal-analysis-en/"&gt;Temporal Analysis&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/temporal-analysis-en/embed/#?secret=8eJWPuPfia" width="600" height="338" title="&#x201C;Temporal Analysis&#x201D; &#x2014; Glosarix" data-secret="8eJWPuPfia" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Description: Temporal analysis involves examining data over time to identify trends, patterns, and behaviors that may not be evident in static analysis. This approach allows analysts and data scientists to observe how data evolves, facilitating informed decision-making based on the historical evolution of data. Through temporal analysis, cycles, seasonality, and anomalies can be detected, which [&hellip;]</description></oembed>
