  In recent years, it has been noticed that women are making progress in every
sector of society. Their involvement in every field, such as education, job
market, social work, etc., is increasing at a remarkable rate. For the last
several years, the government has been trying its level best for the
advancement of women in every sector by doing several research work and
activities and funding several organizations to motivate women. Although
women's involvement in several fields is increasing, the big concern is they
are facing several barriers in their advancement, and it is not surprising that
sexual harassment is one of them. In Bangladesh, harassment against women,
especially students, is a common phenomenon, and it is increasing. In this
paper, a survey-based and Apriori algorithm are used to analyze the several
impacts of harassment among several age groups. Also, several factors such as
frequent impacts of harassment, most vulnerable groups, women mostly facing
harassment, the alleged person behind harassment, etc., are analyzed through
association rule mining of Apriori algorithm and F.P. Growth algorithm. And
then, a comparison of performance between both algorithms has been shown
briefly. For this analysis, data have been carefully collected from all ages.
