In this module you will learn some of the fundamental techniques for data exploration and transformation through the use of the dplyr package. This tidy verse package helps make your exploration intuitive to write and easy to read. You will learn dplyr’s key verbs for data manipulation that will help you uncover and shape the information within the data that is easy to turn into informative plots. You will be introduced to the fundamental principles behind effective data visualisation. Through the use of the grammar of graphics plotting concepts implemented in the ggplot2 package, you will be able to create meaningful exploratory plots. You will develop understanding about the way in which you should be able to think about necessary data transformations and summaries that can lead to an informative visualisation. You will learn how to create static maps and interactive maps with geolocated data by using the most popular packages in the R GIS community: simple features and leaflet.
What you will learn:
dplyr’s key data manipulation verbs: select, mutate, filter, arrange and summarise/summarize
to aggregate data by groups
to chain data manipulation operations using the pipe operator
basic principles of effective data visualisation
to specify ggplot2 building blocks and combine them to create graphical display
about the philosophy that guides ggplot2: grammatical elements (layers) and aesthetic mappings