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5
BIG DATA
VISUALIZATIONS
THAT WILL MAKE YOUR
HEAD
EXPLODE
Ryan Goodman
CEO Centigon Solutions
@rmgoodm
Ryan Goodman is Centigon Solutions
CEO, author, and expert in Business
Intelligence. Ryan applies over 12
years designing business applications
to his leadership role shaping Centigon
Solutions’ Location Intelligence
platform strategy. Today, Ryan is
focused on pushing wider adoption of
Business Intelligence through
visualization and Location based
services.
Topological Data
Analysis
Many data sources do not always fit nicely
into a linear regression during statistical
analysis so when the shapes vary, you may
want to understanding the shape and
relationship between data elements.
Topological Data Analysis is a perfect aid to
conceptualize relationships and visual trends
that could otherwise be hidden.
http://www.ayasdi.com/blog/bigdata/why-topological-data-analysis-works/
This example illustrates retail data for different locations
along with retention rates.
Geospatial
Using geography as a common dimension to
understand spatial relationships from a bird's
eye view is a very popular visualization type.
Using geographic attributes or coordinates
also provides additional context like distance
and proximity to analyze data.
http://pureinformation.net/projects/building-age-nyc/
This example illustrates over one million buildings and the
age of those buildings
Tree Map
A Tree Map is a great way to visualize a
multidimensional data set in a compressed
two dimensional space.
A Tree Map has its own algorithm for
organizing and placing square boxes which are
nested based on a hierarchical tree.
http://deletedcity.net/
The size of the boxes represents the hierarchy of pages
created inside of geocities
3D Spatial
Three-dimensional visualizations can unlock time
and space dimensions to simulate real world
objects and scenarios.
While 3D requires more computer power and lots
of data, the results can be profound. This
example demonstrates a computer simulated
crash and the resulting damage to vehicle
components...
http://tctmagazine.com
With millions of individual components, 3D visualization and
predictive analysis can relay critical information not visible
in the real world.
Density / Heat
Map
Density, also referred to as heat maps display
color intensity as the number of points
increase and overlap within a given space.
Density maps are popular for spatial data
visualization (both 3D and geographic).
Heatmaps can be particularly useful for big
data visualizations. The following example
illustrates foot traffic through interaction
with beacon sensors.
Indoors
This particular solution is provided by Indoors where public and privately owned
venues can become data rich spaces. The opportunities to understand real-time
traffic patterns of people through space provide tremendous insight to
consumer engagement.
We want to hear your tricks and
experiences!
CONNECT WITH US
CLICK THE LINK
For more great content go to…
BIBrainz.com/aof
Edited by
Matthew Broderick
Managing Editor of Analytics on Fire
@MattdBroderick

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