Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.04 GB | Duration: 11h 45m
Become a ggDescription2 expert from scratch and learn to create data visualization in ggDescription2.
What you’ll learn
Explain what aesthetic mappings are
Explain the inheritance of aesthetic mappings
Create any Description in ggDescription2 on your own
Solve common problems in creating Descriptions in ggDescription2
Dodge bar charts and be able to explain how it can be done
Explain the aesthetics of geom_point
Order bar charts
Use scales to adjust the mapping between aesthetics and variables
Use facets to create multiple Descriptions at once
Use summary statistics to do calculations on your data on they fly with ggDescription2 (e.g. error bars, means, confidence intervals)
Make your Description look beautiful with custom themes
Use annotations to spice up your Descriptions
Add mathematical notations to your Description
Combine multiple Descriptions with patchwork
Adding significance bars to barDescriptions
Adding regression lines to scatterDescriptions
Export Descriptions to high quality
Use various apps from ggDescription2tor to work with scales, theme and aesthetics in ggDescription2
Description
My goal with this course is for you to learn ggDescription2 from the ground up. ggDescription2 has a huge community and endless resources, but here’s why I think this course might be for you
Creating data visualizations in ggDescription2 is tough for beginners. You need to know about data types, geometric objects, aesthetics, aesthetic mappings, dozens of functions, faceting, scales, themes and much more. You’ll find many resources on the internet that teach you this content. Finding these resources takes time, and often they don’t teach the fundamentals you need to know to become an independent data visualization specialist in ggDescription2. I want to get you up to speed with ggDescription2. While creating this course I not only created the videos, but also a comprehensive package of educational materials. Here is what you will get from this course
More than 11 hours of videos
8 brand-new cheat sheets on the most fundamental concepts of ggDescription2 which you won’t find anywhere else on the internet
3 educational web apps on three of the most fundamentals problems: findings aesthetics of geometric objects, finding scales, and designing your theme
A repository with all the R-code for the course
In this course we will start with the most important concept of ggDescription2, aesthetic mappings. We will then learn how to create the most basic Descriptions. Once you are able to create these Descriptions, we will discuss common pitfalls that beginners to ggDescription2 often run into. In the next modules, we will learn how to customize aesthetic mappings with scales, how to create multiple Descriptions by faceting, how to calculate summary statistics, and how to change the theme of your Descriptions. Finally, we will give you some tips and tricks that everyone learning ggDescription2 should know. Along the way, we will also create four best practice visualizations that cover all of the fundamental concepts we learn in this course.
I am confident that you won’t find similar material anywhere else on the internet and that you will truly understand ggDescription2 from the ground up if you take this course.
Disclaimer: We will cover version 3.3.4 of ggDescription2.
Who this course is for
Any person who wants to learn ggDescription2 from the ground up
Data scientist interested in learning how to create visualizations in ggDescription2 fast and effectively
Data journalists who want to create print-ready visualizations
Students interested in creating visualizations for their theses
Scientists and researchers whose daily bread is to Description data
Homepage
https://www.udemy.com/course/ggDescription2-fundamentals/
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