Before reading <\/span>Feminist Data Visualization<\/span><\/i> by <\/span>Catherine D\u2019Ignazio and Lauren F. Klein I was curious how feminism, <\/span>the advocacy of women’s rights on the basis of the equality of the sexes, could be intertwined with data visualization. I saw feminism as something that ebbed and flowed and was maybe a little subjective at times. In contrast to my notions of feminism, I saw data visualization as something purely objective. I thought a mix of the two would be confusing and honestly a stretch. After reading <\/span>Feminist Data Visualization<\/span><\/i>, I now understand I am very wrong. Feminist thought braided into data visualization lends to a productivity in the advances of female rights at a level that is both modern and practical. What I found the most interesting was the authors focus on epistemology \u2013 who is included in dominant ways of producing and communicating knowledge and whose perspectives are marginalized. From this focus on epistemology, feminist data visualization holds six principles constant when discussing data synthesis and visualization: Rethink Binaries, Embrace Pluralism, Examine Power and Aspire, to Empowerment, Consider Context, Legitimize Embodiment and Affect, Make Labor Visible. I think these principles are a great way to evaluate data as a means to better both humans and society. <\/span>\u00a0As MLC said , \u201ccritical thinking about all of these categories will allow the audience and the author to remove some of the societal inequalities that all STEM fields currently have.\u201d<\/span>At first I saw these principals as a means to skew the objective information available, but after my growing understanding that data is constantly skewed and can really never be truly objective, I believe that having concrete principals in place for when someone is working with data leads to a more positively skewed outcome.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Before reading Feminist Data Visualization by Catherine D’Ignazio and Lauren F. Klein I was curious how feminism, the advocacy of women’s rights on the basis of the equality of the sexes, could be intertwined with data visualization. I saw feminism as something that ebbed and flowed and was maybe a little subjective at times. In…<\/p>\n","protected":false},"author":179,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-740","post","type-post","status-publish","format-standard","hentry","category-class"],"_links":{"self":[{"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/posts\/740","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/users\/179"}],"replies":[{"embeddable":true,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/comments?post=740"}],"version-history":[{"count":2,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/posts\/740\/revisions"}],"predecessor-version":[{"id":1302,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/posts\/740\/revisions\/1302"}],"wp:attachment":[{"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/media?parent=740"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/categories?post=740"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/tags?post=740"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}