Beautiful Charts with R & ggplot2 (Step-By-Step Tutorial for Beginners)

FULL CODE AND DESCRIPTION: DESCRIPTION: ggplot2 is an incredibly powerful tool to create great charts with R. But it has a bit of a learning curve. This tutorial shows you everything you need to know to get started with ggplot in 45 minutes FULL CODE: The corresponding blog post to this video (including the full code) can be found at https://albert-rapp.de/posts/ggplot2-tips/18_ultimate_guide/18_ultimate_guide WANT TO GET EVEN BETTER? You have started to learn the mechanics of ggplot. That's a great start. But if you want to create insightful charts, then you will have to combine ggplot with data visualization principles. If you're interested in that, then check out my video course at https://arapp.thinkific.com/courses/insightful-data-visualizations-for-uncreative-r-users LINKS TO THINGS I'VE MENTIONED: 🔗 Quarto: If you've never used Quarto files to mix texts and code chunks, then you can find all of that information about this incredibly powerful tool at https://quarto.org/ 🔗 TidyTuesday: https://github.com/rfordatascience/tidytuesday 🔗 Allison Horst: The idea to create an ugly chart to learn the mechanics first wasn't my idea. I picked that up from one of Allison's blog posts. You should check out here website (and her great educational cartoons) at https://allisonhorst.com/ MORE VIDEOS 📺 Avoid duplicate R code in 150 seconds https://youtu.be/E0I-G6rWESQ 📺 Shiny modules in 100 seconds https://youtu.be/BufC0agHnzw 📺 Fast explainer playlist https://www.youtube.com/playlist?list=PLBnFxG6owe1EzWjq_rOfdWcWP8QBxcm58 Subscribe at 👉 https://www.youtube.com/channel/UCdFC653IaBVC5kwj7CGo2sQ?sub_confirmation=1 MORE CONTENT - weekly 3-minute newsletter about R, DataViz and webdev at https://alberts-newsletter.beehiiv.com/subscribe - LinkedIn at https://www.linkedin.com/in/dr-albert-rapp-9a5b9b28b/ #rstats #dataviz #ggplot2 TIMECODES 00:00 Intro 00:30 First Chart 01:43 What the heck is aes()? 03:50 Why coordinates in aes() & scales? 05:07 Use a real data set 06:19 Set aesthetics to fixed values 07:20 Make color dependent on data 09:30 Avoid code repetition 10:12 Nicer labels & titles 10:58 theme_*() layer and font size 11:38 theme() function: using values for changes 12:50: theme() function: using elements 15:29: Try out scales 16:21 Our first bar chart 17:50 Statistical transformations 19:00 Trying to work with statistical transformation 20:30 Identical statistical transformation 21:20 Creating a histogram with a stat_* layer 22:40 Connection between stat and geom layers 24:10 Easier layers without touching stat 24:45 Add labels to bar chart 27:00 Formatting the labels 27:45 Change color of bars 28:40 Remove more duplicate code 29:40 Split histogram by sex 31:30 Change positioning of colored histograms 33:03 More position changes (dodge and jitter) 35:44 Use multiple windows for different histograms 37:00 Putting it all together with a new data set 44:20 How to learn more? 45:02 Shameless plug & outro