'

5

Понравилась презентация – покажи это...





Слайд 0

5 BIG DATA VISUALIZATIONS THAT WILL MAKE YOUR HEAD EXPLODE


Слайд 1

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.


Слайд 2

Topological Data Analysis


Слайд 3

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.


Слайд 4

Topological Data Analysis is a perfect aid to conceptualize relationships and visual trends that could otherwise be hidden.


Слайд 5

http://www.ayasdi.com/blog/bigdata/why-topological-data-analysis-works/ This example illustrates retail data for different locations along with retention rates.


Слайд 6

Geospatial


Слайд 7

Using geography as a common dimension to understand spatial relationships from a bird's eye view is a very popular visualization type.


Слайд 8

Using geographic attributes or coordinates also provides additional context like distance and proximity to analyze data.


Слайд 9

http://pureinformation.net/projects/building-age-nyc/ This example illustrates over one million buildings and the age of those buildings


Слайд 10

Tree Map


Слайд 11

A Tree Map is a great way to visualize a multidimensional data set in a compressed two dimensional space.


Слайд 12

A Tree Map has its own algorithm for organizing and placing square boxes which are nested based on a hierarchical tree.


Слайд 13

http://deletedcity.net/ The size of the boxes represents the hierarchy of pages created inside of geocities


Слайд 14

3D Spatial


Слайд 15

Three-dimensional visualizations can unlock time and space dimensions to simulate real world objects and scenarios.


Слайд 16

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...


Слайд 17

http://tctmagazine.com With millions of individual components, 3D visualization and predictive analysis can relay critical information not visible in the real world.


Слайд 18

Density / Heat Map


Слайд 19

Density, also referred to as heat maps display color intensity as the number of points increase and overlap within a given space.


Слайд 20

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.


Слайд 21

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.


Слайд 22

We want to hear your tricks and experiences! CONNECT WITH US CLICK THE LINK


Слайд 23

For more great content go to… BIBrainz.com/aof Edited by Matthew Broderick Managing Editor of Analytics on Fire @MattdBroderick


×

HTML:





Ссылка: