Top tips to create pretty plots in R (ggplot2)
Biostatsquid
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Welcome to Biostatsquid! My name is Laura, I am a bioinformatician who loves finding new ways to analyse and visualise biological data - from scRNAseq to proteomics! I started this channel as a way to share my experiences, teach but also learn from others! Coding and stats can be as (or more!) fun as lab work, and everyone can learn how to do it! In this channel you'll find explanations and hands-on tutorials for analysing and interpreting biological data. - Learn basic techniques in biostatistics, from heatmaps to pathway enrichment analysis. - Manage your data and create publication-ready visualisations by following my easy step-by-step tutorials in R and Python. - Practical explanations without complex formulas for you to understand your datasets and be able to interpret your results. What are you waiting for? Just dive in!
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Video Description
In this tutorial, you'll find some of the best tips and tricks I use to create pretty and publication-ready plots with ggplot2 and more! You will find out what are the top visualisation tricks you should know in R. And as always, you can find the code I am using in this tutorial at biostatsquid.com, where you can also find a step by step explanation of the code. For this tutorial you will need R, or Rstudio, and we will use the R packages tidyverse (ggplot2), cowplot, patchwork and ggpubr. Hope you like it! https://biostatsquid.com/top-visualisation-tricks-r/?et_fb=1&PageSpeed=off -------------------------------------------------------------------------------------------------------------------- Watched it already? If you liked this video or found it useful, please let me know! Your comments and feedback are very much appreciated😊 And if you find my content helpful, you might consider buying me a coffee! Any kind of support is greatly appreciated:) https://www.buymeacoffee.com/biostatsquid If you have questions, don't hesitate to leave me a comment down below, I will answer as soon as I can:) -------------------------------------------------------------------------------------------------------------------- Are you into biostatistics and computational analysis? For more biostatistics tools and resources, you can visit: https://biostatsquid.com/ Follow me on Instagram at @biostatsquid: / biostatsquid 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! Don’t forget to subscribe if you don’t want to miss another video from me! -------------------------------------------------------------------------------------------------------------------- Other interesting resources for visualisation with ggplot2: https://ggplot2.tidyverse.org/reference/ggtheme.html https://ggplot2.tidyverse.org/ Music from #Uppbeat (free for Creators!): https://uppbeat.io/t/pecan-pie/east-s... License code: 80ZOLNQ8NSDSWKFV
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