Exploratory Data Visualization

In Part 1, The Essentials of Geospatial Data Science, we provided you with a framework for working with spatial data and progressing through a spatial data science workflow. As a refresher, that framework looked like the one displayed in Figure 5.1:

Figure 5.1 – Data science pipeline

In Part 2, Exploratory Spatial Data Analysis, the content will focus on the first three steps in the framework: Collecting, Cleaning, and Exploring. For the most part, the collecting step will largely be completed for you, but that will not be the case in the real world. When it comes to the cleaning step, it is often said that data scientists can spend as much as 80-90% of their time cleaning data. Even though we’ve collected most of the data for you, the data has not yet been cleaned, as learning to clean data—as you can see—is a much-needed and valuable skill to learn.

While the collecting and cleaning stages...