Scope: It is often mentioned that 80% of a data analysis pipeline is involved with the tedious process of cleaning and preparing data in a correct way so they can be consumed for analysis and visualization (Dasu & Johnson, 2003). Tidy data facilitates easier data transformation and visualization. Tidy data works hand in hand with the tools provided by the tidyverse collection of R packages, in a way that promotes reproducibility and efficiency. ggplot2 (Wickham, 2009) is one of the core members of the tidyverse. It is one of the best and most used R packages for data visualization. In this workshop, participants will learn the principle of tidy data, how to transform and combine datasets using the tools from the tidyverse and how to generate advanced visualization with the ggplot2 package.
Dasu, T., & Johnson, T. (2003). Exploratory Data Mining and Data Cleaning. https://doi.org/10.1002/0471448354 Wickham, H. (2009). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. Retrieved from http://ggplot2.org.
Is this workshop for me?
- Do you routinely spend long days transforming and cleaning your Excel files to get them ready for analysis and/or making plots?
- Do you work with tricky datafiles (measurements from different type of equipment, normally provided as raw text files)?
- Do you often struggle to make sense of big, complex datasets?
- Do you often have to combine different datasets in order to perform your research?
- Do you want to communicate your findings in a beautiful and reproducible way by generating publication-ready plots?
Then this workshop will equip you with the skills to tackle the above use-cases and many more!
Target group: The course is aimed at PhD candidates, postdocs, and academic staff
Course duration: 4 days
Contact: PE&RC Office: office.pe@wur.nl
Registration of interest: You can register your interest HERE (note: this is not an official registration).