
In Part 3 of our 3-part series on Azavea’s redistricting and gerrymandering work, we look at the technical process behind developing infographics for efficiency gap reports. We made strategic use of JavaScript visual tools and Node.js as a scripting language in our design and production of 50 infographics about the efficiency gap, automatically creating one for…
In Part 3 of our 3-part series on Azavea’s redistricting and gerrymandering work, we look at the technical process behind developing infographics for efficiency gap reports. We made strategic use of JavaScript visual tools and Node.js as a scripting language in our design and production of 50 infographics about the efficiency gap, automatically creating one for…

Learn about our methodology for ranking the efficiency gap for each Congressional delegation in all 50 states and visualize the results.

Our Data Analytics Team produced a webinar series on Data-Driven Advocacy for Nonprofits. The 3rd webinar, 5 questions you can answer with maps and data visualizations, is now split into 5 short videos, one on each question. This post covers the first video, including details of a case study. Where are my current clients and donors? Where can…

The Azavea Data Analytics Team is holding the last installment of the Map Readiness webinar series on March 22nd, 2017 from 2-3pm EST. We’ll walk you through the analytics techniques and tools we use to help our nonprofit partners answer their biggest questions. Optimize Your Nonprofit As you may know, we at Azavea’s Data Analytics Team…

This post details 2016 election maps to watch on election night.

In this post, we discuss how to define communities with ESRI’s grouping analysis tool, a powerful method aiding with data comprehension.

This post details the design process we used to build a D3 dashboard, highlighting some of the key pieces of code needed to get CARTO and D3 talking to one another.

This post describes our design process and the evolution of an interactive application relating to air pollution monitoring in a museum.

In this post, we analyze the relationship between severe road crashes, the geography of crashes, and demographics.

This post walks through a method to help increase accuracy of classification by using a texture raster to distinguish between trees and other vegetation.
