Hello friends....
Today while preparing the presentation on the article, my group
came across an interesting topic known as ‘Heat map’ which was interestingly
used in a combination with hierarchical clustering. So found this blog as the
best opportunity to share this piece of information with all of you....
What is a Heat map?
It’s a graphical representation of the data where the values are
taken up by a variable in a two dimension table and that data is represented by
colours.
In lay man terms the data in the clustering table is replaced by
colours so it becomes easy for humans to interpret the data. A heat map keeps
transforming numerical data into colour symbols, which leverages the
understanding and the interpretation of the data presented. Larger values are
represented with darker shades like red where as smaller values are represented
with lighter shades like blue and neutral values are represented by shades like
grey.
For example: - Heat map can be used to identify the high price
band stocks in NIFTY as well as the low priced stock. If the price of Reliance
stock is high it will have a black or a red colour whereas if TCS is low priced
it will have a blue or green colour.
Now I would like to share the application of Heat map with
hierarchical clustering....
The data obtained from
hierarchical clustering is replaced by the colours for easy understanding and
heat maps also help analyzing the trends in the data i.e. if it’s an upward
moving trend or a downfall.
Uses of Heat maps:-
1) Can be used to represent stock prices, their highs and lows.
2) Can be even used to represent the various geographic areas
according to the climatic temperatures.
3) Can be used to determine the performance of various departments
in a company.
4) Can be used as a strong marketing tool for forecasting sales.
Why Heat maps?
To stay ahead businesses need
tools that can provide an edge in handling the increasing volume and complexity
of information, in communicating information and analysis effectively, and to
do all of it quickly and accurately Heat maps are very useful.
Hope this gave you all an interesting insight into the concept of
Heat maps....keep checking this space for other interesting updates....
Source: -
en.wikipedia.org/wiki/Heat_map
The article:- Analyzing the Longitudinal K-12 Grading Histories of
Entire Cohorts of Students: Grades, Data Driven Decision Making, Dropping Out
and Hierarchical Cluster Analysis
www.bazaartrend.com/nsecharts/marketwatch_heatmap.php
Great value add. With colours (heat maps) it is easier to interpret data.
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