In this video, I will give you an easy and practical explanation of Principal Component Analysis (PCA) and how to use it to visualise biological datasets. You can also find a step by step explanation here: https://biostatsquid.com/pca-simply-explained/ Hope you like it! -------------------------------------------------------------------------------------------------------------------- Watched it already? If you liked this video or found it useful, please let me know! Your comments and feedback are very much appreciated😊 If you have questions, don't hesitate to leave me a comment down below, I will answer as soon as I can:) -------------------------------------------------------------------------------------------------------------------- For more biostatistics tools and resources, you can visit: https://biostatsquid.com/ for more • simple and clear explanations of biostatistics methods • computational biology tools • easy step-by-step tutorials in R and Python To analyse and visualise your biological data! Or follow me on Instagram at @biostatsquid: https://www.instagram.com/biostatsquid/ Don’t forget to subscribe if you don’t want to miss another video from me! -------------------------------------------------------------------------------------------------------------------- More PCA resources: A more deep explanation of the math behind PCA, without math! https://towardsdatascience.com/principal-component-analysis-pca-explained-visually-with-zero-math-1cbf392b9e7d I also really love this explanation from StatQuest! https://www.youtube.com/watch?v=FgakZw6K1QQ