Gender Breakdown of City Workers by Department<\/a>, which is a dataset that contains information about payroll men and women for a list of jobs. \u00a0This is to give the readers an objective data on how men and women compare in terms of salaries, and for the readers to analyze the inequalities depending on job description. The question that naturally arises from this data is, \u201care women really getting paid less, and why\u201d? \u00a0The record in this dataset is the information collected from each department which contains data about # of Employee, Total Payroll, #Female, #Male, Female\/Male Total Salary, and Female\/Male Average Salary. \u00a0<\/span><\/p>\nWallack and Srinivasan identifies ontology as the \u201csystem of categories and their interrelations by which groups order and manage information about the people places, things, and events around them.\u201d \u00a0In other words, ontologies\u2019 duty is to relay information of a reality of a certain phenomenon, which may push communities for a change. This dataset in particular is a meta-ontology, which is a state sponsored data to give an objective information to the public. \u00a0In this dataset, the ontology is comparing the salary of men and women in order to report the possible income inequality between sexes. <\/span><\/p>\nThis dataset would be the most useful for equal rights activist, to get raw and objective information on how women and men\u2019s salary differ, and to enact change of this injustice. \u00a0<\/span>This data is simple in that the record can be categorized into 3 subgroups, job title, # of men and women employee, and salary difference between men and women. \u00a0Therefore, by looking at the table, the user can understand exactly which job employs more men or women, and what the salary difference is. \u00a0The website also allows different visualization of the data, for example, into bar graphs, pies, and treemap, which allows users to digest and compare the information more effectively. \u00a0<\/span><\/p>\nThis dataset is great in that we can easily see the difference in salaries depending on gender and the job. However, the dataset is too simplistic in that we do not know exactly how many hours both men and women work. \u00a0In a society where the stigma of women as housewives still exist, perhaps women work less hours because as working parents, one usually have to take kids to school or pick kids up after school. \u00a0In our society, women are often assumed to take this role. Thus, perhaps the difference in payroll could be that women are working less hours due to this social stigma. On the other hand, it is possible that men and women work the same number of hours; we would never know unless we have that informations.<\/span><\/p>\nFrom a different person\u2019s point of view, this dataset could be information containing the gender distribution for each job. \u00a0As each position have varying degrees of men and women worker, the graph shows which job is popular or more geared towards men and women. \u00a0Questions that could arise from this point of view is why some job has more men or vice versa, and is this through sexism, coincidence, or other reasons. \u00a0<\/span><\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":"
For this week, I decided to analyze Gender Breakdown of City Workers by Department, which is a dataset that contains information about payroll men and women for a list … Continue reading “Week 3 Post”<\/span><\/a><\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-989","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/posts\/989","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/comments?post=989"}],"version-history":[{"count":0,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/posts\/989\/revisions"}],"wp:attachment":[{"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/media?parent=989"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/categories?post=989"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/miriamposner.com\/classes\/dh101f16\/wp-json\/wp\/v2\/tags?post=989"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}