Business Data Visualization Report: Unemployment and Trend Analysis

This report presents a comprehensive analysis of business data using data visualization techniques, primarily leveraging Tableau software. The analysis focuses on unemployment trends in Victoria, Australia, examining geographic data and age groups to identify hidden patterns and insights. The report includes detailed visualizations, interpretations of the data, and comparisons of different data visualization methods, such as Treemap and Sunburst, highlighting their advantages and disadvantages. The findings reveal significant fluctuations in unemployment rates across different geographic areas and age groups, emphasizing the need for targeted interventions. The report concludes with a summary of the importance of data visualization for business decision-making and the effective use of various chart types for data analysis.

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

R

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.