Sound of Domestic
Violence

    Student: Idil Kiran
    Tutor:
    Format: Graphic Visualization
    Topic: Internet Data Mining
    Year: 2023




    The project's goal is to address violence against women, a serious social issue. Violence against women is a widely acknowledged essential issue that involves a variety of damaging behaviors that have enduring effects on individuals, families, and societies. This problem is extremely relevant since it still stands in the way of human rights and gender equality. This project's approach to data interpretation is what makes it distinctive. 
    The project uses Python programming to accomplish the data sonification process, which turns complex data sets into audio experiences. This approach makes it possible to interact with data on two particular indicators in a different, more engaging way: the frequency of lifetime experiences of violence among women and the attitudes of society against violence against women. By presenting this data in a sonified format, the project not only sheds new light on these statistics but also aims to deepen public understanding and stimulate discussion about this pervasive issue. The project's approach represents a significant step forward in how data on social issues are communicated and understood, making it a valuable contribution to ongoing efforts to address and mitigate violence against women.