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Written by:

Pinninty Gnana Deepika (s4575807), Lovepreet (s4575068)

This blog has been written as a part of the assessment task for Business Analytics (BCO6007) studied at Victoria University. We with the help of our respected mentor, Parvez Ahmad, who helped us in collecting and analyze the data related to ‘Domestic Violence in Australia’ with the help of a tool, SAP Lumira, which was acquainted with us in the college class. We chose to break down the information of just two years that is 2016 and 2017, because of the inaccessibility of clear usable information and the immense data accessible on the web.

Domestic violence:

Domestic violence is customarily connected with instances of physical viciousness happening inside close connections and in a household setting. It is most usually executed by a male against a female accomplice, yet it likewise incorporates brutality against men. Aggressive behavior at home happens in both hetero and gay person connections and incorporates wedded, true and isolated young people and grown-ups. With a specific end goal to set up this venture, we gathered the information from various sources like Australian Bureau of Statistics (ABS) and Australian Institute of Criminology (AIC). Information was purged in a different spreadsheet to make it reasonable for the representations made by SAP Lumira. Each bit of information was precisely analysed and suitable perceptions were made utilizing Bar Charts, Column Charts, Line Charts, Cross Tables and Pie Charts. These perceptions were the formed to make a story.

Statistics and Results:

Some of the key visualizations with description of our findings are in new south wales around 25% people are faces the problem of domestic violence. The minimum cases of domestic violence are registered Australian capital territory. The total FDV cases are 50% in the whole states of Australia.

Visualization 1

Analysing the data from the offender aspect, the above graph diagram gives us the details about the data of the victims in state territories. NSW and Victoria has the highest effect as in Australian Capital territories have the lowest of all.

We then explored the NSW data further to see if we can glean any seasonality in DV occurrences over a given year. Looking at the monthly trend from 2016 to 2017, it is evident that domestic violence is at its highest in NSW.

Visualizations 2:

The Graph below describes the domestic violence in the local areas of NSW. Bellingen has the highest rate when compared to other local areas. Black town holds to be second in number as per the statistics.

Visualization 3:

This diagram represents the alleged offender’s relationship to the victim for domestic violence. The maximum for selected domestic violence related offences are harassment, threating behaviour and private nuisance is 14,633.

The numbers could be attributed to the increase in family interaction during the holiday season that potentially leads to higher levels of stress and family conflict. As for summer is usually at its hottest during this month. A number of studies have empirically shown that hot temperatures produce increases in aggressive motives and tendencies so hotter years, quarters of years, seasons, and months all yield relatively more aggressive behaviours, such as murders, rapes, assaults, riots and wife beatings, among others.

Visualization 4:

The below diagram represents the data for the offence type as per month and year. We considered data from April 2016 to March 2017. Attemptive murder is always high compared to every other offence.

Visualization 5:

This visualization represents the domestic violence segregation as per the gender group. Female’s data is represented by green and mail data is represented in blue color. DV related assaulted is high in male compared to that of female. The domestic violence is high in men compared to that of female.

Visualization:

This image represents the highest domestic violence rate in the regions and areas.

In conclusion, we can infer that inside and out Australia abusive behavior at home is occurring. New South Wales has the most astounding include and specific there are more female influenced. UN Secretary-General Ban Ki-moon has approached individuals around the globe to adopt a decided strategy to a culture of segregation. On the event of the International Day for the Elimination of Violence against Women (25 November), Ban expressed that all administrations must submit to their responsibilities regarding end savagery against ladies and young ladies around the world. This sort of information perception and examinations would help be able to the entire world to have an unmistakable view to have the capacity to act orderly and valuable.

 

References:

Justice Bureau of Crime Statistics and Research 2017, Domestic violence​ statistics for NSW, Bureau of Crime Statistics and Research, viewed 22 June 2017, < http://www.bocsar.nsw.gov.au/Pages/bocsar_pages/Domestic-Violence.aspx>.

Australian Bureau of Statistics 2016, Recorded Crime – Victims, Australia 2015, viewed 22 June 2017, < http://www.abs.gov.au/ausstats/abs@.nsf/mf/4510.0>.

Australian Bureau of Statistics 2015, Recorded Crime – Victims, Australia 2014, viewed 22 June 2017, <http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/by%20Subject/4510.0~2014~Main%20Features~Experimental%20Family%20and%20Domestic%20Violence%20Statistics~10000>.

Richards K 2011, ‘Children’s exposure to domestic violence in Australia’, Australian Government Australian Institute of Criminology, viewed 22 June 2017, <http://aic.gov.au/publications/current%20series/tandi/401-420/tandi419.html>.

Morgan A and Chadwick H 2009,’ Key issues in domestic violence,’ Australian Government Australian Institute of Criminology, viewed 22 June 2017, <http://aic.gov.au/publications/current%20series/rip/1-10/07.html>.

NSW Bureau of crime statistics and research 2009, Trends and patterns in domestic violence assaults, viewed 22 June 2017, <http://www.bocsar.nsw.gov.au/Documents/CJB/cjb89.pdf>.

 

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