Advanced Data Visualization with R free videos and free material uploaded by Johns Hopkins University Staff .
Advanced Figures with ggplot2
In this module, we will work through making a number of different figures using ggplot2 and a few additional R packages You should begin by watching the introductory videos in each lesson Then, carefully review the readings and reference materials provided Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up
Spatial Data
In this module, we go through an introduction for making spatial figures (maps) in R You should begin by watching the introductory videos in each lesson Then, carefully review the readings and reference materials provided Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up
Plotly and gganimate
In this module, we will work on animating figures and making them interactive You should begin by watching the introductory videos in each lesson Then, carefully review the readings and reference materials provided Once you have done that, I recommend watching the videos again to check your understanding You will take a few quizzes as you progress through the material to make sure you are keeping up
Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today One of the critical tools for data visualization today is the R statistical programming language Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance
This course is the third in the Specialization "Data Visualization and Dashboarding in R" Learners come into this course with a foundation using R to make many basic kinds of visualization, primarily with the ggplot2 package Accordingly, this course focuses on expanding the learners' inventory of data visualization options Drawing on additional packages to supplement ggplot2, learners will made more variants of traditional figures, as well as venture into spatial data The course ends make interactive and animated figures
To fill that need, this course is intended for learners who have little or no experience with R but who are looking for an introduction to this tool By the end of this course, students will be able to import data into R, manipulate that data using tools from the popular tidyverse package, and make simple reports using R Markdown The course is designed for students with good basic computing skills, but limited if any experience with programming
- 0 Reviews
- 0 Students
- 180 Courses
Write a public review