Aimee Ciarimboli, Ashlyn McGrath AHIS 596 DH Final Project: Her Hat Was In the Ring: US Women Who Ran For Office Before 1920, http://www.herhatwasinthering.org/index.php The twentieth century saw major developments in every area of life throughout many different areas of the world. For American women, the early twentieth century provided opportunities for advancement regarding labor, […]
Author: aimeec
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Week 11: Work
One roadblock we have encountered is for our video- we would like to use a Power Point or Google Slides as neither of us prefers to be on camera. We tried an add in but it still will not display the webpage for Tableau when trying to insert a webpage. We might just work around […]
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Week 10: Work
This visualization shows the types of offices campaigned for over time across all states. Our project discusses why the types of offices campaigned for changed over time. We are splitting visualizations between us at this point and also working on a map that shows the increase of campaigns by state and year which will correspond […]
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Module 9: Work
I am working on “Her Hat Was In the Ring.” This dataset includes information on women who ran for offices in the United States prior to 1920. This was a set provided by Prof Kane. I am working on identifying the levels of offices that women ran for so I duplicated that column in open […]
Here is my assignment: (sorry it is late- I just saw it was still a draft in my posts!) In this course, I enjoyed the data cleaning the most- it was strangely satisfying! I enjoyed the other aspects (even colab!), but there is something just reassuring about knowing the language of what I am doing […]
I am going to use Her Hat Was In the Ring: US Women Who Ran For Office Before 1920, http://www.herhatwasinthering.org/index.php. I thought this would provide a number of options to explore the data- locations where there may be clusters of activity, certain years, political parties, movements, etc. After discussing with Prof. Kane, I am also looking […]
A concept I found difficult? Keeping everything straight! The gender inference project had me flipping between all the projects for the past few weeks. I began with the intention of keeping everything exact and succinct but I think by the end I was just flailing words about- “This is the thing that makes it do […]
Below are my assignments for Module 3. I think I enjoyed python more than javascript- I don’t know how to phrase it, but it just seems more direct to me (if that means anything!). I don’t necessarily mind being frustrated by the small mistakes with big impacts (or at least big error messages – which […]