PřF:Bi8190 Data visualisation in R - Course Information

Bi8190 Data manipulation and visualisation in R

Extent and Intensity

0/2/0. 2 credit(s) (fasci plus compl plus > 4). Type of Completion: k (colloquium).
In-person direct teaching

Teacher(s)

Mgr. Irena Axmanová, Ph.D. (seminar tutor)
Mgr. Bc. Klára Klinkovská (seminar tutor)

Guaranteed by

Mgr. Irena Axmanová, Ph.D.
Department of Botany and Zoology – Biology Section – Faculty of Science
Contact Person: Mgr. Irena Axmanová, Ph.D.
Supplier department: Department of Botany and Zoology – Biology Section – Faculty of Science

Prerequisites

Bi7560 Introduction to R ||SOUHLAS
A basic knowledge of R is recommended, ideally completing the Introduction to R Bi7560 Introduction to R before the course.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.

fields of study / plans the course is directly associated with

there are 7 fields of study the course is directly associated with, display

Course objectives (in Czech)

V průběhu kurzu představíme pokročilé metody manipulace a vizualizace dat v programu R, zejména s využitím knihoven z kolekce tidyverse (tidyr, dplyr, tibble, purr, stringr, ggplot2, readr). Cílem předmětu je naučit studenty rutinní manipulaci s daty, tak aby si je uměli importovat, upravit, filtrovat, připojit nové informace z externích dat, vytvořit nové proměnné (např. na základě výpočtu), seskupit vzorky na základě nějaké charakteristiky/informace a pro tyto skupiny vypočítat další parametry. Dále se studenti naučí základní i pokročilé metody vizualizace dat pomocí ggplot2 a tvorbu základních map v R. Cílem předmětu je i osvojení přístupu open data science, kdy se naučí připravit skript tak, aby bylo možné ho na závěr publikovat na platformě GitHub.

Learning outcomes

Students will be able to:
- on their own create graphs in the ggplot2 graphics,
- choose a correct graph type,
- use faceting,
- add modelled trends in the displayed data,
- adjust scaling of aesthetic attributes of the graphic,
- finalize the appearance of the graphic for publication.

Syllabus (in Czech)

• 1 Úvod
• R jako programovací jazyk
• Tidyverse package, %>%, |>
• projekty v RStudiu, cheatsheets, keyboard shortcuts
• zásady tidy skriptu (úprava, nadpisy, záložky, poznámky)
• zdroje informací a kde hledat pomoc
• import pomocí readr, readxl, na co si dávat pozor (encoding)
• struktura dat (names, table, glimpse)
• tidy data (zásady, příprava, kontrola), přejmenování proměnných (rename)
2 Základní manipulace s daty
• základní manipulace s daty (select, filter, mutate, arrange, slice)
• export dat (write_csv)

Literature

• http://www.cookbook-r.com/Graphs/
• MURRELL, Paul. R graphics. Boca Raton: Chapman & Hall/CRC, 2006, xix, 301. ISBN 158488486X. info
• https://www.stat.auckland.ac.nz/~paul/RGraphics/rgraphics.html

Teaching methods

The class will be held in a computer room right in front of the computer. We will work in the R software using RStudio. At the beginning of each lesson a new method will be shortly presented after which students will exercise its application at their own computers.
Active attendance is not required but is strongly recommended.

Assessment methods

I plan to follow David Zelený's model of completion of the course, i.e.:
(1) 3 homeworks will be given, out of which 2 will be requested,
(2) students will present their graphical work on the last lesson.
However, I reserve the right to set up a practical in case the engagement of students in the class did not meet my expectations.

Language of instruction

Czech

Follow-Up Courses

• Bi7540 Data analysis in community ecology
• Bi7542 Data analysis in community ecology

Further comments (probably available only in Czech)

The course is taught annually.
The course is taught: every week.

Teacher's information

http://vitsyrovatka.info/doku.php?id=visbiodat:cs:start

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