Post 10: Reflection & Revised Proposition

By Yu Zhang


During week 7, I had a opportunity to receive feeback from colleague and tutor for my draft proposal, and it’s really useful that I got lots of idea to understand how to refine my proposal that base on the data, and what kind of data are appropriate to my data visualization.



The direction of my draft proposal is about the inequality between women and men, includes treatment, physical power, and protection. On the other hand, I was confused about what’s the specific issue for the proposal because it includes a lot of data that’s relevant but still too broad to develop a data visualization. Fortunately, my colleague and tutor suggested me to focus on how does men treat to women while make women feel less equal, so I had a specific audience for the proposal. This suggestion helps me to finalize the audience and direction of my proposal and guides me to narrow down the sources of the data, which is really useful. Also, for the visual style of my proposal, my colleague suggested developing a data of question that relates to inequalities of women and creates a map that base on specific locations in Australia. For example, the data could be ‘The percentage of women that feeling abused at home’, and the location could be Pyrmont, Burwood, Seaforth etc. I think this idea guides me to realize visually about how’s the data visualization look like and helps me how to insert useful information to provide a useful data while engage and synthesize with the audience, which is men. Overall, this session really helps me to understand further about what’s the next step to arrange the data, develop it visually, and what kind of data should I research further for my revised proposition.

Revised Proposition

Project title: Women = Men

Practice type: Data Visualization

The issue: Inequality between women and men. According to the survey report of young people attitudes violence against women, women are always higher than men in the rate of being violence and assaulted. Also, men,especially young men between age 16-24 are lack of awareness about their treatment to women are hurtful and disrespectful, especially non-physical behaviors. On the other hand, women received more violence and assaulted from acquaintance than strangers, includes husband, boyfriend, father etc. It’s the social issue that would affect the mental health situation of women, the rate of domestic violence and the level of authority of women in the society.

The possible change: Reduce the rate of disrespectful behavior to women from men and encourage men to rethink their treatment to women, includes forces women to have sex, tries to control by threatening to hurt others, harasses by repeated phone calls etc. Also, educate men to start recognize the awareness of protecting and respect women instead of using violence to harm women. Finally, display visually what kind of behavior should be forbidden to women and how to affect the mental health situation to women after they had experience with those behaviors.

The design action to support change: Develop a data visualization to support the evidence of women are being the situation of inequality in gender while educating men to recognize their inappropriate behaviors to women. Basically, I would like to develop the design as a digital advertisement that can display on screen. The ads are able to publish on the big digital screen around the city and shopping center, audience is able to touch it and the ads will show the data on screen. The ads also available on any school and government website to publicize the issue. The data will base on two main aspects: physical behaviors and non-physical behaviors. Every individual data will base on one specific behavior from men to women like repeatedly criticizes to make women feel useless. Visually, the design will display by a circle to briefly describe about the issue. After that, audience is able to extend the circle to the next circle while there will have several selection to choose. Also, every circle include 2 to 3 different colors to represent the percentage of the data. After extending all of data by the main aspects, the data visualization should look like a molecular system that can reflect the serious problem of treatment to women from men are in an inequality situation with rich information as the evidence.


Harris A., Honey N., Webster K., Diemer K. & Politoff V. 2013, Attitudes towards gender equality, Young Australians’ attitudes to violence against women, Australia, pp44-47.