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Table of public vs. privately held debt #13
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yea sure - we wanted to figure out how much of the debt was held by the government/states and how much was held by private citizens in each state. the end product would be a two column table where rows would be states and columns would be privately/publicly held debt. values would be the quantity of debt. |
If you have qs, tag me in the thread and i'll respond here. |
will do. ill start working in a jupyter notebook for now and will send that to you or add it into the github once im done |
Sounds good. please summarize what you've done in this thread when you have major updates. |
If Isabella has bandwidth, please loop her into what's going on as well. |
@Izzyy2003 - issue we're using for discussion. |
@sanjeev0813 can you create a folder called speculation and move your notebook there? Also, in your commit messages, if you include #13, it'll automatically link the commit to the issue which helps me keep track of it. |
ok thanks |
I just finished most of my work. What I did: I got a table of all the public debt in each state by finding the names of treasurers in the dataset using Political Graveyard. I then found the debts of each treasurer along with the State of __ and Commonwealth of __ Debt values within the dataset. I've added a ReadMe, a PDF with all the Treasurer Names, the Jupyter Notebook I worked on, and a CSV file with the table that go more in-depth into what I did. |
Updates made by Chris
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@sanjeev0813 let me know once you've accepted the invitation. Can you summarize what we discussed over slack here? We can use github to discuss so that our notes are easier to track down.
The data you should be using is here. Take a look at lines 3360-3363 for examples of what I mean by "publicly held debt". Publicly held debt will either by people who are government officials or "government sound names" like Commonwealth of Pennsylvania.
To figure out whose a govenrment official, here are a few tips
I know we discussed making a table, but you should feel free to use whatever way of visualizing the data you think is most informative.
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