Statistics Globe<p>Efficient data manipulation is essential when working with large data sets, and dplyr in R makes row and column operations simple and intuitive by offering a consistent set of functions that abstract away complexity, enabling users to focus on data analysis rather than technical implementation.</p><p>I've created a video tutorial explaining how to perform these operations in more detail: <a href="https://www.youtube.com/watch?v=OpNQ4zhvVZc" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">youtube.com/watch?v=OpNQ4zhvVZc</span><span class="invisible"></span></a></p><p>More info: <a href="https://statisticsglobe.com/online-course-data-manipulation-r-dplyr-tidyverse" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statisticsglobe.com/online-cou</span><span class="invisible">rse-data-manipulation-r-dplyr-tidyverse</span></a></p><p><a href="https://mastodon.social/tags/database" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>database</span></a> <a href="https://mastodon.social/tags/coding" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>coding</span></a> <a href="https://mastodon.social/tags/package" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>package</span></a> <a href="https://mastodon.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a></p>