Comparison of Data Visualization Methods

The assignment discusses the importance of data visualization in business and compares different methods of data visualization, including Treemap and Sunburst. It highlights the advantages and disadvantages of each method, such as Treemap's ability to show hierarchical relationships but lack of ability to display historical trends. On the other hand, Sunburst is easy to understand but limited to hierarchical data only. The assignment concludes that data visualization is crucial for managers to identify patterns and trends in huge datasets and make informed decisions.

BUSINESS VISUALIZATION

TABLE OF CONTENTS
INTRODUCTION....................................................................................................................................................................................................... 3
TASK A....................................................................................................................................................................................................................... 3
1 Data visualization of Victoria............................................................................................................................................................................... 3
2 Hidden trends in the data set.................................................................................................................................................................................5
TASK B..................................................................................................................................................................................................................... 10
1 Data visualization............................................................................................................................................................................................... 10
2Identification and analysis of trends.....................................................................................................................................................................13
TASK C..................................................................................................................................................................................................................... 14
Comparison of different methods of data visualization and their advantages as well as disadvantages.................................................................14
CONCLSUION......................................................................................................................................................................................................... 16

INTRODUCTION
Data analytics is the one of the field that is growing at pace and data visualization is its new branch. In the current report data
are analyzed by using Tableau software which is the powerful tool of data visualization. Results are interpreted in systematic manner.
Along with this, in the report advantages and disadvantages of different data visualization methods are also discussed in detail. At end
conclusion is formed on the basis of entire work.
TASK A
1 Data visualization of Victoria

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esults are reflecting that unemployment rate increased significantly in the Victoria from the financial year 2013. It can be observed
that before the financial year 2013 unemployment rate declined to some extent in the Victoria but after 2013 rate of same increased. It
can be observed from the diagram given above that there is low unemployment rate in the starting years but in the year 2013 and 2014
rate of same increased at moderate pace. As it can be observed and identified from the box diagram where color become little dark
blue. Further, unemployment rate increased at high level in the year 2015 as reflected by highly dark color in boxes that are in the left
hand side of the diagram. Interesting fact is that in each financial year that is analyzed unemployment rate change in terms of basis
points is moderately different in each area. It can be said that state of unemployment is different in all regions in all financial years.
Overall result it that condition is critical and serious efforts needs to be made to overcome the situation and to increase employment
opportunity in the nation.

2 Hidden trends in the data set
Interpretation
On analysis of results it can be observed that geographic area whose code is 30250 unemployment rate declined at fast rate. On
December 2010 unemployment rate was 69.60 and same reduced to 47.90 in the year 2011. However, slight elevation comes in the
mentioned rate as it increased to 49.70. This rate declined sharply in the next year from 49.70 to 37.70. But fast elevation comes in the
2015 as rate increased to 56.30. Fast up and down in the relevant geographic area is the shocking fact and timely action need to be
taken to control situation.

Interpretation
Results reflect that in the geographic area whose order code is 31950 and 32250 unemployment percentage is same. There is
even minor difference between both geographic areas in terms of unemployment rate. It can be said that both geographic areas
unemployment rate is highly correlated to each other. In case of area code 30500 it can be observed that unemployment rate declined
at moderate pace. However, in last year, unemployment rate get increased. It can be said that in last analyzed year unemployment rate
increased to some extent in the analyzed area.

Interpretation
It can be observed that unemployment rate increased at almost same pace in case of geographic areas whose code is 32500 and
32770. If facts that comes in light in above two charts is considered then in that case it can be said that unemployment rate of varied
areas are randomly associated with each other. There may be interlinking of two geographic areas in terms of economic activity. Thus,
due to decline in economic activity unemployment rate increased almost at same rate.

Interpretation
Results are reflecting that in case of area code 35790 unemployment rates increased at rapid pace. It can be seen that rate of
unemployment was 34.20 in the 2010 which increased to 54.50. Further, elevation is observed in the rate and same increased to 33.90.
In 2014 rate of unemployment increased to 57.10 and further it stretch to 52.70. It can be said that situation in the mentioned
geographic area is out of control is worse. Hence, steps need to be taken to control situation.

TASK B
1 Data visualization

Interpretation
Results are indicating that unemployment rate in case of those that come in age group of 15-24 is 36.02% in case of Victoria. It
can be observed that unemployment rate is high in case of the age group of 15-24 relative to the groups 25-34 and 35-44 where
unemployment rate is 22.32% and 18.64%. In case of the age group of 45-54 unemployment rates is 13.22% and same in case of age
group 55-64 is 8.70%. In the group above 65 unemployment rate is only 1.10%. It can be said that unemployment rate is high only in
case of age group of 36.02%. Thus, more employment opportunity need to be provided to those that are in the relevant age group
which is 15 to 24.

2Identification and analysis of trends
Interpretation

On analysis of data it can be observed that in case of first part of chart plotting of capital region is done where unemployment
rate is 6.49% which is lower the Victoria unemployment rate which is 5.18%. On this basis it can be said that in comparison to capital
there is low unemployment rate in the Victoria. It can be said that on this front its performance is good. In the Queensland area
unemployment rate in case of those comes under age group of 15-24 is 4.24%. On this basis, it can be said that condition are better in
the Queensland in terms of unemployment in age group 15-24 relative to Victoria. In case of Hobart unemployment rate in the age
group of 15-24 is 10.53% which is much higher than same type of rate of Victoria which is 5.18%. It can be said that in comparison to
Hobart Victoria is in better condition as its unemployment rate is very low in comparison to Hobart. In Australia capital
unemployment rate is 14.20% for the age group of 15-24. Same rate is 5.18% in Victoria and on this basis it can be concluded that
Victoria is in better condition in terms of unemployment rate in age group of 15-24 relative to other geographic areas.
TASK C
Comparison of different methods of data visualization and their advantages as well as disadvantages
Data visualization is increasingly used by the business firms to analyze the data in their business. It is not possible to analyze
the entire data set by using excel in the systematic way. Thus, varied data visualization software’s are prepared by the IT experts that
give better overview of the data. Some of the software that are increasingly used for data visualization are given below.
Treemap
This method is based on the filling of gap concept in the hierarchy data. Under this diagram lots of things needs to be prepared
in systematic manner and under this one have to create data objects which must be linked in hierarchy. Entire tree is divided in to
varied groups which may be large size and small size rectangle. Some of the advantages and disadvantages of data visualization
methods are explained below.
Advantages of Treemap

 All data objects are arranged in the hierarchy which reflects that data variables are related to each other. When managers wants
to evaluate multiple activities to establish cause and effect relationship in that case this sort of diagram help managers in
understanding the relationship that exist between the variables (Analytical Review of Data Visualization Methods in
Application to Big Data, 2017).
 In analytics outliers are removed from the data set in order to make accurate prediction. It is very hard task to identify outliers.
It is this software that help analyst in identifying the outliers because are highlighted in specific color.
Disadvantages of Treemap
 It is mandatory that variables that are analyzed must have some connection with each other. If same is not there it is not
possible to analyze data in proper manner by using mentioned software.
 Historical trends cannot be analyzed by using mentioned chart.
Sunburst method of data visualization
Mentioned approach of data visualization is the alternative of the Treemap data visualization approach. Under this approach
Treemap visualization is used but same is transformed into polar coordinate system. Interesting fact is that in case of the sunburst
method parameters of the variable are radius instead of length and breadth. Due to this reason efficiency of presentation get increased.
Entire diagram that is prepared by considering variables is repainted. However, sector that contains new data is changed in terms of
radius and no change comes in charting part of the data that remain unaltered (Ramachandran and Varoquaux, 2011). Due to specific
characteristics mentioned method is increasingly used by the data scientists for analyzing the data.
Advantage of Sunburst method
 Main advantage of Sunburst method of data visualization is that anyone can easily understand the chart and deduce results.
Disadvantages of Sunburst method

 Major disadvantage of Sunburst method is that like Treemap it can be used for hierarchical data.
CONCLSUION
On the basis of above discussion it is concluded that there is huge importance of the data visualization method for the
managers because by using same huge data patterns and trends can be identified by them and decisions can be made in respect to the
business. It is also concluded that there are different sort of charts and according to need same must be used by the managers in their
business for data analysis.

REFERENCES
Books and journals
Ramachandran, P. and Varoquaux, G., 2011. Mayavi: 3D visualization of scientific data. Computing in Science & Engineering, 13(2),
pp.40-51.
Online
Analytical Review of Data Visualization Methods in Application to Big Data, 2017. [online]. Available through:<
https://www.hindawi.com/journals/jece/2013/969458/>. [Accessed on 7th May 2017].