ArcGIS Pro

How to explore fields with Data Engineering

Most often we think about Data Engineering in the context of “engineering” your data. To clean, transform, and prepare the data to do something with it. However, regardless of what you want to do with the data, the first step is to know what data you’re dealing with.

The fields panel of the Data Engineering view in ArcGIS Pro can help quickly visualize the data on a map, through charts, and provides quick navigation to the attribute table. Let’s take a quick tour.

Explore fields using Symbology

If you’ve ever worked with spatial data in ArcGIS Pro, using symbology to create a beautiful and compelling map is something you’ll already be familiar with. But what Data Engineering offers is a quick way to update the map symbology while performing exploratory data analysis. By displaying fields on a map, you can explore where features are located, how values are distributed in space, and whether any places are missing data.

 

Explore fields using charts

Graphical representations aka charts are powerful tools to get to know your data. The create chart button in the fields panel, automatically picks the most useful chart type to visualize your fields based on its data type. For numeric fields, you’d see a histogram; for text fields, a bar chart; and for date fields, a line chart is created. Or if you want to pick another chart type, simply right-click the field and choose a chart from the available chart types in the Create Chart menu!

 

Explore fields using attribute table

Attribute tables are widely used to dive deeper into each field’s attributes. For many of us, it might be the first thing we open to explore the data (at least it was for me before Data Engineering!). But when you have hundreds of fields in your attribute table, navigating to fields of interest can become difficult. The Data Engineering view allows you to quickly go to your field of interest in the attribute table.

 

Learn more about exploring fields in the Data Engineering documentation

View more resources about how to use Data Engineering

About the authors

Ankita Bakshi is a Senior Product Engineer on Spatial Statistics Team at Esri. With a background in environmental engineering and computer science, she is passionate about solving social, economic, and environmental problems with Spatial Analysis and Data Science. In her role, Ankita enjoys researching, finding solutions to build software, and loves creating video and written content to make the software tools more approachable and applicable to real world challenges. Outside of work Ankita enjoys going on hikes, painting landscapes, and dancing to Bollywood music.

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Alberto Nieto is a Product Engineer on Esri’s Spatial Statistics team. In his role, he helps research, build, and maintain spatial data science capabilities in ArcGIS and works closely with government agencies to learn about the problems our software can help solve. Alberto’s background includes fourteen years of experience, including previous roles as a GIS Developer at Capital One and NOAA's Climate Prediction Center, and as a GIS Analyst at the Census Bureau and the Alachua County Environmental Protection Department.

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Lynne Buie is a Product Engineer on the Spatial Statistics team. She helps build spatial statistics tools and Data Engineering capabilities for ArcGIS Pro. She's passionate about using GIS to help make the world a better place.

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