Seminar 2

Building complex data visualizations in R requires proficiency in efficient data handling using both base R commands and the user-friendly syntax of dplyr. This seminar provides a guide on the utilization of both base R and Tidyverse methods for effective data management. Along with building up the skills for data management in R, the seminar will introduce the principles of the Grammar of Graphics and explain its role in providing a structured approach for constructing data visualizations for storytelling.

Data Management in Base R

We learn essential data cleaning and manipulation techniques, including conditional filtering and selecting, using base R commands.

Data Management with Tidyverse

We explore the dyplr package from tidyverse for data wrangling and explore the use of fliter, select, summarise, mutate, and others for data processing for data visualization.

Principles of Data Storytelling and the Grammar of Graphics

We explore the foundational principles of the Grammar of Graphics and its role in crafting compelling data narratives, enhancing your storytelling capabilities through visualization.