Ethnic groups in the US are distributed unevenly across the nation. The animations below show where they are located and how large they are in relationship to each other. We looked at five different broad ethnic groups: Europeans, East & South Asians, Hispanic and Portuguese and African American. The ‘Other’ group includes all other groups including Native Americans. We used the registered voter data from L2 Political to do this ethnic analysis.
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Here’s a thing that has intrigued me for years: wouldn’t it be cool if we could convert our population databases with hundreds of millions of records into 3D models and fly through them.
Over the last few months we – finally – developed the technology to convert big databases into 3D models in a matter of seconds. After the model has been converted you can ‘fly’ through it in real time. We are using OpenStreetMaps for the underlying maps. This blog posting is the first time we are publishing images from the 3D models. I choose some of the more artistic […]
The images below show income levels in Manhattan overlaid on aerial photo’s. The income levels are shown from yellow for the lower incomes to red for the highest incomes. Click on the images to zoom in.
These data visualizations were created in the following way. We used the population data from L2 and mapped each address to a geographical location using Bing Maps. The L2 database has income information on over one million people in Manhattan. The base color of each geographical point was determined by the average income of all people on that location. Moonshadow’s Ephemeris software uses Gaussian curves […]
Moonshadow has created Consumermapping, a tool to perform detailed demographic and psychographic analysis of consumers. Consumermapping works with customer databases with millions of records but it can also be used for clients with smaller databases. The technology can be used to analyze customers for businesses, membership for non-profits, subscribers for newspapers and much more.
We will use Acme, an hypothetical company with 3.4 million customers in the US to show what you can do with Consumermapping. The screenshot above shows the address for each of Acme’s customers and you can see that Acme has the largest number of customers on the […]
Moonshadow Mobile has added a new visualization feature to its Ephemeris technology: Data Density Maps. With Data Density Maps Ephemeris visualizes both the density of an attribute and the values of an attribute at the same time over a map. The images on this page show both the population density as well as the Political Party registration.
The map above is generated from the US registered voter file from L2 Political. Each of the 159 million voters in the US is mapped to their house inside of Bing Maps. A Gauss curve is then used to determine the average party affiliation […]
If you manage ‘Big Data’ then you’ve probably run into this problem: your Big Data is getting too big. Before you know it you are moving around files that take 20 or 30 hours to transfer and many hours to compress, decompress or even to back up. Six months after installing a new batch of backup servers they are maxed out and you have to add more. As a result you are constantly pressing users to reduce the amount of data you keep accessible for them. At Moonshadow we host and serve more than one billion records for our customers […]
