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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>Exploratory Data Analysis - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="SAIU6bZBxh"&gt;&lt;a href="https://glosarix.com/en/glossary/exploratory-data-analysis-en/"&gt;Exploratory Data Analysis&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/exploratory-data-analysis-en/embed/#?secret=SAIU6bZBxh" width="600" height="338" title="&#x201C;Exploratory Data Analysis&#x201D; &#x2014; Glosarix" data-secret="SAIU6bZBxh" 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: Exploratory Data Analysis (EDA) is a fundamental approach in data science used to examine and summarize the main characteristics of a dataset. This process often involves the use of visual methods, such as graphs and charts, which allow analysts to identify patterns, trends, and anomalies in the data. EDA not only focuses on describing [&hellip;]</description></oembed>
