Data visualization IN R with ggplot2

Dates

2-6 March 2019

Where

Free University of Berlin

OVERVIEW

Data visualization is an important skill in all data-related fields such as scientific research and journalism. An elegant way to produce such visualizations in a reproducible way is the `ggplot2` package providing a structured graphics framework in R. In this course, you learn how to use R to load, transform, explore and visualize data. The course also covers the basic concepts in data visualization and a suite of different chart types and tricks to make appealing and informative-rich plots using `ggplot2`.

 

 

Prerequisites

This workshop is aimed at researchers and technical workers with a background in any data-related field. In general, no programming experience is needed. The course teaches all relevant steps to load, transform and visualize the data. However, basic knowledge of R is beneficial. If you like to learn R beforehand, I suggest chapter 1 to 4 of “R Programming for Data Science” by Roger D. Peng: https://bookdown.org/rdpeng/rprogdatascience/

 

Outcomes

After completing the workshop, students should be in a position to:

 

 

 

1.      know and apply the principles of good data visualization such as the right choice of colors and chart types

 

2.      load and transform data in R using `tidyverse`

 

3.      understand the layered structure of `ggplot2`

 

4.      visualize the data in multiple ways using `ggplot2`

 

5.      create publication quality and easy understandable figures

 

6.      perform reproducible by using version control and project organization

 

TEACHING FORMAT

The workshop is delivered over 5 days (see the detailed curriculum below). The lectures are interactive with active exercises and discussion where asking questions is strongly encouraged.

All course materials (including copies of presentations, practical exercises, data files, and example scripts) will be provided electronically to participants.

 

Program

Monday - Classes from 9:30 to 17:30

 

             Introduction to data wrangling in R

 

            Part I: Getting started with R and RStudio

 

            Part II: Data transformation and exploration with `tidyverse` 

 

Instructor

 

 Cédric Scherer

 

 

COst overview

Package 1

 COURSE + REFRESHMENTS

 

 

  480 €


Registration deadline: 6th February 2020

Cancellation Policy:

 

 

 

> 30  days before the start date = 30% cancellation fee

 

< 30 days before the start date= No Refund.

 

 

 

Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.