Heat
map is one of the useful and powerful data-analysis tools available in
business intelligence. Heat Map is visual representation of data using
colors instead of numbers only. This tool is used to analyze the complex data
sets for a quick and easy way of understanding.
Popular heat maps being referred/used in the
industry includes
- Election results by geography
- Visitors interaction with a webpage
- Usability or consumer experience
There are many
ways to create heat maps but the common understanding in all of these
representation is usage of colors to communicate the numbers and their
relationships. Heat Maps are mostly used for two
dimensional representation. But the advanced heat maps can be drawn for more
than two dimensions. For example cell size and color both can be used to
represent a different relationships. One can add sliders to filter/zoom the
data and its relationships as required by the user. If you have to represent the
same situation using a bar chart, the visual would be cluttered and difficult
to understand.
Example:
Below heat map
used to understand the customer feedback from a service operations. Customer provided
his feedback with the services offered by the vendor. Feedback can be positive
(Happy with the service provided) or negative (Not happy with the services). Purpose
of this heat map is to understand the customer view of the services provided
with appropriate filters and drill-downs.
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