As we prepare for the official public launch of Arrays in March, we are still astounded at the endless ways our early customers are already utilizing the program’s state-of-the-art visual and sharing capabilities.  

As an example of Arrays’ uniqueness and versatility, we have consolidated the full data for a recent event that also proved a major historic moment for our nation—the 2017 Women’s March.  Using Arrays’ ease-of-use, advanced functionality and vibrant visuals, researchers, journalists and students alike can learn all of the comprehensive statistics of this world-wide protest movement, using data provided by Jeremy Pressman of the University of Connecticut and Erica Chenoweth of the University of Denver.

Initially, in the U.S., there were a total of 408 planned marches, but 673 ultimately marches took place worldwide, including 29 in Canada and 20 in Mexico. Arrays’ design allows for those full statistics to come brilliantly to life, the first page giving the locations of each solidarity march—along with initial projects of numbers. One click of each color-coded individual box instantly takes visitors to the full statistics of that city’s turnouts, the overall political party influence for that area, and the original voting percentages from the 2016 Presidential Election.

Arranged from highest turnout to lowest, visitors learn that Los Angeles had the second highest number of march participants after Washington, D.C., and that other countries, such as Canada and Mexico, took part in overwhelming numbers as well.

Again, Arrays makes research and information effortless for anyone seeking these important facts.

Click here to view the visualization.

As always, I welcome you to explore our numerous datasets at app.arrays.co to learn the endless possibilities that Arrays offers for your organization.  Be sure to sign up for our newsletter and to check back as we gear up for the March launch.

Imagine how Arrays can bring your own information and ideas vividly to life. 

Your data is a story waiting to be told.