Data Exploration and Visualization in R with tidyverse & ggplot2
04 Nov, 2019 @ 9:30 am – 08 Nov, 2019 @ 5:00 pm
The upsurge of data sets complexity in evolutionary biology requires researchers the ability to organize, explore and visualize information in an efficient and reproducible way. Data exploration and visualization is a fundamental component of data science and scientific research. Extracting knowledge and insights from structured and unstructured biological data is a key skill and requires not only a good understanding of the scientific methods, but also the ability to process and visualize data in a reproducible way.
In this course, you will learn how to explore, transform, analyze and visualize different data sets to gain knowledge and to communicate these insights to a scientific and/or general audience. The course will cover all the necessary steps that are needed for data exploration and visualization in R:
- Introduction to R, RStudio and Version Control
- Working with different data types
- Exploration and transformation of data using “tidyverse”
- Fitting simple models to analyse data
- Data visualization using “ggplot2”
This workshop is aimed at researchers and technical workers in biology and related sub-fields, although the content of the course is relevant to other similar data practitioners. In general, no programming experience is needed. The course teaches all relevant steps to load, transform, explore, visualize and analyze the data using R and RStudio.
Day 1: Introduction to R, RStudio and Version Control
Day 2: Data transformation using “tidyverse”
Day 3: Data visualization using “tidyverse” and “ggplot2”
Day 4: Data models using “tidyverse”
Day 5: Exploration and visualization of own (or provided) data
Cédric Scherer, Ph.D. @ BioMove
IZW Berlin, Germany
Topics: Individual based modelling, movement ecology, programming
NOTES ON ACCOMMODATION
Please note that the city of Modica has a rather complex topography, therefore we suggest you to book your stay in a structure located in the old town, preferably close to the venue of the course.
EARLY-BIRDS DEADLINE: 15 SEPT 2019
REGISTRATION DEADLINE: 01 OCT 2019
Up to 30 days before the beginning of the course: complete ticket price refund (minus billing operations, depending on the payment method).
Less than 30 days before the beginning of the course: no refund available.
HT is not refunding travel and accomodation costs.