In your work as GIS professionals, you have the tremendous power to visually represent the way the world works by creating a map. A key aspect of how you do this are the various numeric fields that contain data that represents complex topics. These numeric fields are some of your most important building blocks: when used properly, they can capture the information needed to analyze, understand, and map. When used improperly, they can obscure important patterns or even misinform.
Data Engineering in ArcGIS Pro provides useful options to work with numeric fields. In this post we’ll go over a few of these options:
- Find records with missing data.
- See the distribution of multiple fields.
- Identify and quickly map outliers.
- Get advanced distribution metrics.
The following video shows you how to get started:
The video has demonstrated a few of the ways you can interact with numeric fields in Data Engineering. The experience works best in combination with the attribute table, charts views, and fields views to help you properly explore and prepare your numeric fields.
Some of the options the video covered barely scratch the surface, so stay tuned for future posts where you can learn more about working with different data types, exploring and remediating missing data, and more.