Visualize Data Using Weave:
Neighborhood Nexus is a member of the Open Indicators Consortium, which has developed an open-source mapping and visualization platform called Weave. Below are examples of how Neighborhood Nexus is using the Weave platform.
To get an overview of how to use this tool, please visit the “Using Weave” page for instructional videos and how-to-guides.
Note: If a map or visualization does not work as expected, Adobe Flash Player may need to be enabled or allowed. Please visit Adobe’s help page for more detailed instructions. An updated mapping platform is in development and scheduled for release by the end of 2019.
Alternatively, you can access a simplified version of our data mapping tool here.
This interactive map shows variables for the 100 largest metro areas in the U.S. The data comes from various sources such as the U.S. Census Bureau’s 2010 Decennial Census, the U.S. Census Bureau’s latest American Community Survey five-year product (currently 2010-2015), and the U.S. Bureau of Economic Analysis.
Create visualization maps using over 600 different data variables at the neighborhood level (using the 2010 Census Tract geography boundaries). The data comes from various sources such as the U.S. Census Bureau’s 2010 Decennial Census, the U.S. Census Bureau’s latest American Community Survey five-year product (currently 2011-2015), Georgia Department of Public Health, and the Georgia Department of Labor.
Create visualization maps using 300 different data variables at the zip code level. Variables include socioeconomic and demographic data from the U.S. Census, business and establishment data from the Census’ Zip Code Business Patterns, Earned Income Tax Credit (EITC) usage from the IRS and Brookings, and home price data from Zillow.
Create visualization maps using the 2014 Georgia State Senate district boundaries and nearly 300 different variables from the U.S. Census Bureau.
Create visualization maps using the 2015 Georgia State House district boundaries and nearly 300 different variables from the U.S. Census Bureau.
Create visualization maps using key educational indicators for public high schools in Georgia. Data is derived from the Governor’s Office of Student Achievement for the years 2010 through 2016. Key indicators include graduation rates, college and career readiness, and milestone subject area testing.
Create visualization maps using key educational indicators for public middle schools in Georgia. Data is derived from the Governor’s Office of Student Achievement for the years 2010 through 2016. Key indicators include school demographics, math achievement levels, absenteeism, and CRCT scores.
Create visualization maps using key educational indicators for public elementary schools in Georgia. Data is derived from the Governor’s Office of Student Achievement for the years 2010 through 2016. Key indicators include reading and math achievement levels, school demographics, absenteeism, and CRCT scores.
Create visualization maps using the City of Atlanta’s Council district boundaries and nearly 400 different variables from the U.S. Census Bureau and Atlanta city departments. City-specific data include code enforcement, housing conditions, and 911 calls.
Create visualization maps using the City of Atlanta’s neighborhood boundaries and nearly 400 different variables from the U.S. Census Bureau and Atlanta city departments. City-specific data include code enforcement, housing conditions, and 911 calls.
Create visualization maps using the City of Atlanta’s Neighborhood Planning Units (NPUs) boundaries and nearly 400 different variables from the U.S. Census Bureau and Atlanta city departments. City-specific data include code enforcement, housing conditions, and 911 calls.
Create visualization maps using the Georgia Early Education Alliance for Ready Students (GEEARS) indicators and data to display how certain socioeconomic factors can influence early educational outcomes. Indicators are grouped by category: children, communities, families, schools, or services. Indicators are aggregated to the county-level.
Create visualization maps identifying 170 public health data indicators for every county in Georgia. Indicators are aggregated to the county-level.