ArcGIS Pro Shorts Series: Creating Charts and Graphs

The new ArcGIS Pro Shorts Series is a series of short, 4 hour (1/2 day) classes designed with a focus on a specific ArcGIS Pro topic. These classes provide a more focused, deep-dive study into a variety of topics.

Charts can be created in ArcGIS Pro from tabular data as well as raster data.  Tabular data includes feature data such as feature classes or shapefiles along with standalone tables.  Raster data, including imagery and pixel data, can also be used as a source for tabular data. A chart is a graphical representation of data. Visualizing data through charts helps to uncover patterns, trends, relationships, and structure in data. Use charts together with maps to explore your data and help tell a story.

In this class you will learn how to create a variety of charts in ArcGIS Pro including bar charts, stacked bar charts, line charts, histograms, and others. Charts in ArcGIS Pro can also be manipulated and exported in a variety of ways. You’ll learn how to export charts to image file formats, filter charts through selection sets and map extent, add custom titles and axis labels, add ancillary chart information and legends, as well as other functions.

  • Module 1: Introduction to Charts and Graphs in ArcGIS Pro
  • Module 2: Creating Charts
    • Bar Charts
    • Stacked Bar Charts
    • Line Charts
    • Histograms
    • Scatterplots
    • Box plots
    • QQ plots
  • Module 3: Chart Functionality

4 GISP Credit Hours

Intended Audience

This course is intended for students who have some knowledge of ArcGIS Pro, and are looking to expand their knowledge of various labeling techniques for vector layers. Students should have some prior working experience with ArcGIS Pro and/or have taken our Learning ArcGIS Pro 1 class.

Software Requirements

Students will need to have ArcGIS Pro (any license level) installed on their computers and have a valid login. This should be verified prior to the start of class.


Add instructor support to this class for $100 below

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