![]() ![]() With few columns in our dataset, we can keep things orderly later on. The attribute table contains only six columns, but only the last four are used when calculating field statistics. Create a new, empty project in Pro and add the ne_50m_urban_areas.shp file to your map window, found in the subfolder named “50m_cultural”. ![]() This tutorial uses the same dataset as before, the Natural Earth quick start kit, that can be downloaded here. Step 1: Download the data and open a new project in Pro We’ll have a look at how this works below. The new Field Statistics to Table tool is an extension of the data engineering toolset: although it uses the same statistics for each column as in the Data Engineering view, you have now the option to output statistics using only a single field type, or use a Group By Field parameter for the output table, which calculates input field statistics separately for each unique value in the specified field. The data engineering toolset was added to Pro 2.8 to help users explore, visualize, clean, and prepare data. ![]() It was added in Pro 2.9 as users demanded a way to export the Field Statistics when performing data engineering. In this tutorial, we’ll cover the Field Statistics to Table tool, that gives more flexibility to calculating field statistics from attribute table data.Īs the name suggests, the Field Statistics to Table tool creates a standalone table of descriptive statistics for one or more input fields (= columns) in a table or feature class. ![]()
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