Data wrangling & tidying with Tidyverse
This one-day course (6h) gives you an introduction to the tools
available to wrangle and to clean & tidy your data in R. It is
important to become familiar with the data cleaning process and all of
the tools available to improve your datasets. This course provides a
basic introduction to wrangling and cleaning data in R using tidyverse which is a collection of several R packages designed for data science.
Praktische info:
Inschrijven?
- Voorwaarden: basic/fair knowledge of data handling and coding in R
- Prijs: determined upon registration
georganiseerd door:
Leertraject
In the final part, you will put into practice what you've learned during the course to be able to import and to clean your own messy dataset. If you don’t have your own messy database, an example of messy dataset will be provided for you to practice.
Course overview:
- Introduction to tidyverse ecosystem of packages;
- Data wrangling with dplyr package;
- Tidying data with tidyr package;
- Practical session & cleaning your own (or provided) messy database.
Furthemore, we will dig into several tidy tools:
- Tibbles with tibble package;
- Dates and Times with lubridate package;
- Strings with stringr package;
- Factors with forcats package;
Prerequisites
This is NOT an introduction course to R! You MUST have a basic/fair knowledge of data handling and coding in R. No explanation of basic R programming will be given.
Lesgever/spreker
Cristina Cametti
Cristina obtained a bachelor's degree in Strategic Sciences (2011, Scuola Universitaria Interdipartimentale in Scienze Strategiche), a master's degree in Crime and Security Sciences (2013, Università Cattolica del Sacro Cuore) and a master's degree in Statistics (2017, KU Leuven). In 2021, she started a part-time PhD under the supervision of Thomas Neyens and Emanuele Giorgi. Her research focuses on developing adapting sampling design techniques for ecological and epidemiological data collected via citizen science. In addition to her part-time PhD, Cristina is one of the FLAMES coordinators at KU Leuven where she is responsible for the statistics track.
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