Here it is! “Webs of Indebtedness:” Visualizing the Tangled Network of Credit & Debt in 18th-Century Dutchess County, NY
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Author: etatum
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Draft-Final Project
Net Worth Transaction Averages Average Amount of Creditors & Debtors per Insolvent Debtor Full Network Colored by Type Insolvent Debtor: Red Creditor: Blue Debtor: Green Orange: Both (Creditor & Debtor ) Full Network Colored by gender Male: Blue Female: Orange Filtered Network Filtered to show only people connected to 2 or more other nodes Colored […]
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Module 10:Work
(4/21/21) I’m adding to this draft as work this week. Notebook in progress Network, things I have added so far: -Color nodes by type (insolvent debtor, creditor, debtor, both) -Zoom function Network, things I want to achieve: -thickness of links and color dictated by sum of pence and whether debit or credit -default node size […]
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Module 9: Work
Here is my data set: https://github.com/elisabethmtatum/1770sample Cleaning– I’ve spent the last two weeks cleaning my data and beginning to extend it. My first focus was cleaning the names. In order to show more connectivity in my network, I need to rectify variant spellings, so I could track the same person across multiple transactions. I started […]
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Module 8: Maps
I georectified a 1867 map of the Village of Red Hook (in the town I live), and then created a web app using the ARCGIS platform. View Map Here At Historic Red Hook, I’ve been doing a lot of mapping projects with our collection, since more people have been walking around recently to get out […]
Here is my data set: https://github.com/elisabethmtatum/1770sample My data is drawn from my transcriptions of Dutchess County, NY Ancient Documents from 1770-1775. The records I transcribed were from the filings of imprisoned insolvent debtors who sought relief under various NY colonial acts relating to insolvency passed between 1770 to 1775.When an insolvent debtor filed for relief, […]
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Module 5 Assignments
Above is my attempt to put all three visualizations in a story. I’m not sure if it is showing up. Below you will see the visualizations separately. I’m not a fan of how WordPress is rendering them. The details are really small and they seem blurry. This bar chart illustrates the occupations most common to […]
This week’s assignments had me staring at my computer screen for hours hoping the mysteries of Python would reveal themselves to me. In all honesty, it wasn’t that bad. After awhile, it was fun, like a puzzle that needed solving. The biggest thing I need to remember is to slow down. Unlike the task of […]
These assignments really made me slow down and make sure to read each word. I had to read each instruction 3+ times and finally understood. However, I don’t know how much I’ll remember, or if I’ll mix up JavaScript and Python. I understand the logic, but trying to figure out the order of operations had […]