 summarize key aspects of the data quickly and
effectively. However, users are encouraged to explore the data frame
produced by <code><a href="../reference/article_info.html">article_info()</a></code> to create custom visualizations
tailored to their specific needs. The flexibility of the output makes it
easy to integrate with popular R visualization libraries such as ggplot2
or plotly.</p>
<p>If you develop unique or insightful graphs that could benefit other
users, consider submitting your code or ideas t