Old Opinions, New Glory: An Investigation of Rank and Battlefield Mortality among All-Black Units during the American Civil War *The companion set of all visualizations can be found here. I. INTRODUCTION On January 1, 1863, President Abraham Lincoln issued the now famed Emancipation Proclamation, which freed all those held in bondage in states in rebellion. […]
In terms of roadblocks I’ve faced in forming this project, most have to do with data cleaning. More specifically, my dataset was compiled using a codebook, so dates and the like did not conform to workable standards for Tableau. For this reason, I had to break apart columns using field length factors, standardize the various […]
Visualizations In these first three visualizations, grouped together n the final project, my ambition is to explore geographic and temporal trends in Union Army enlistment for African Americans. The first, “Enlistments per Year” is a line graph which simply endeavors to demonstrate how total enlistments trackked through the course of the conflict. The second, “Birthplace […]
For this project, I’ll be using the dataset compiled by Jacob Metzer and Robert A. Margo entitled “Union Army Recruits in Black Regiments in the United States, 1862-1865.” This dataset records important information about these recruits, including their birthplace, place of enlistment, year of enlistment, regiment and company, rank, etc. It also delineates their pre-war […]
For the final project, I would like to use the “Union Army Recruits in Black Regiments in the United States, 1862-1865” dataset by Jacob Metzer and Robert A. Margo (available here). Given my interest in American military history, I think this dataset will provide a great opportunity to do a bit of analysis on force […]
Additional Visualization Narration Additional Vis #1 – In this pie chart of Albany, NY population data between 1850 and 1940, I used race to delineate population percentages for the given period. I excluded “White” data responses to focus the vis more closely on minority populations, and colored it according to race. I also added a […]
Assignments– API, Web Scraping, Georeferencing, & Gender Inference. I found the assignments for this week quite interesting, if a bit overwhelming and confusing at times. For the most part, I was able to trial and error my through most of the hiccups I had, though this was less applicable in the Gender Inference assignment. I […]
This week’s assignments were very interesting, but certainly tricky in some spots. As seems to be the consensus for those posts I’ve read, I did prefer the Observable task over that in Colab, in part because Observable automatically implements changes made in one cell to all cells that use that information (i.e. no need to […]