INFS 4018 Business Intelligence and Analytics

Project Justification And Scope

In this project analysis will be carried out to find the reasons to why the infection spreads at a faster rate during the seasons. The prevention measures will also be looked at since this disease has contributed too many losing their lives and children remaining orphans, it has also affected the Australian economy heavily. Furthermore, we will also focus on factors facilitating the epidemics such as time, geography, intensity and even dynamics. The analysis will be carried out using the data provided in the Microsoft Excel. During the analysis, there will be a better understanding of the data through visualization and test of hypothesis.

Data Dictionary

In the data set, the variables and rows contain some values whose definitions are described below;

Week Ending

It shows the date of the Friday following the day that the notified was diagnosed with influenza.

State

Is the jurisdiction where the diagnosis occurred?

NSW = New South Wales

NT = Northern Territory

Qld = Queensland

SA= South Australia

4TAS = Tasmania

Vic = Victoria

WA = Western Australia

Age Group

Are presented according to a notified complete years example 00-4 represents person of 5 years and below

Sex

Represents the sex of the person at the time of notification

Indigenous status

It is determined by descent, self-identification and being accepted by the community

Indigenous = Aboriginal and/or Torres Strait Islander origin

Non-Indigenous = not Aboriginal and/ or Torres Strait Islander origin

Unknown = Not stated

Type or subtype

The type or subtype of the virus causing influenza in the notified case.

Analysis Plan

From the original data set source, we will construct a data set of approximately 150 sample size. The data set constructed will contain variables and rows. The analysis of the data set will begin with description statistics, under this is the measure of central tendencies and the measure of variability will be analysed.

The frequencies will also be analysed using visualization tools such as histogram, pie chart etc. The analysis will be done using different softwares. The other analysis that will be carried out using this data set is the inferential statistics, under this ANOVA, t-test etc. would be done. Then there will be a better interpretation of the analysis and findings to suggest the recommendation to the Public Health Service Department of Australia for improving the quality of life.

From the provided data, we get a variety of relation with the infected count.

• · We analyse the effect of type of virus on different age groups and gender (Gagyy006)
• · We plan to analyse the indigenous status of males and females
• · We plan to investigate how influenza spreads and in which season it is infect the people most(Kaury022)