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42dc183
aca stuff
daphnehanse11 May 27, 2025
b581f1b
charts
daphnehanse11 May 27, 2025
a031407
even more charts
daphnehanse11 May 27, 2025
62b2dc5
medicaid
daphnehanse11 Jun 5, 2025
352e4a2
so many notebooks
daphnehanse11 Jun 9, 2025
2bac522
filtering
daphnehanse11 Jun 10, 2025
8a9479e
more notebooks
daphnehanse11 Jun 19, 2025
8fa0f2b
notebooks
daphnehanse11 Jun 23, 2025
af46613
notebooks
daphnehanse11 Jul 1, 2025
c5104d9
notebooks
daphnehanse11 Jul 1, 2025
01abb8d
work req
daphnehanse11 Jul 2, 2025
854572b
snap
daphnehanse11 Jul 10, 2025
621edb8
charts
daphnehanse11 Jul 15, 2025
7509a8c
rename
daphnehanse11 Aug 12, 2025
3ac06dc
notebooks
daphnehanse11 Aug 27, 2025
5af8c9a
remove outdated code from ira_expire_old_data notebook; add new scrip…
daphnehanse11 Sep 11, 2025
3ffc179
update analysis scripts for improved performance and accuracy
daphnehanse11 Sep 12, 2025
7285eaa
update medicaid calculation example notebook with corrected execution…
daphnehanse11 Sep 17, 2025
ef5c14b
new jersey is the greatest state in america
daphnehanse11 Sep 23, 2025
aee4e09
refactor data processing scripts for enhanced readability and maintai…
daphnehanse11 Sep 24, 2025
297df78
add new Jupyter notebook for New Jersey tax analysis using Microsimul…
daphnehanse11 Sep 24, 2025
d09d551
update analysis scripts for better data visualization and insights
daphnehanse11 Sep 24, 2025
1ce808e
improve data processing scripts for better performance and efficiency
daphnehanse11 Sep 24, 2025
6eff0a5
add NJ tax winners and losers analysis with data output
daphnehanse11 Sep 24, 2025
3347c8d
update simulation setup to use dataset year for state FIPS code corre…
daphnehanse11 Sep 24, 2025
0f6ca3c
Add NJ OBBBA repeal impact analysis results
MaxGhenis Sep 24, 2025
75c3b52
Clean up file names - remove 'final' and 'full' references
MaxGhenis Sep 24, 2025
724dd7c
Remove duplicate files with 'copy' in names
MaxGhenis Sep 24, 2025
e1185cd
Merge branch 'cong-hack' of https://github.com/daphnehanse11/analysis…
daphnehanse11 Sep 24, 2025
096d274
Reorganize NJ analyses into separate OBBBA and SALT folders
MaxGhenis Sep 24, 2025
876b52e
Remove NJ tax analysis files and related data
daphnehanse11 Sep 25, 2025
4041838
Merge branch 'cong-hack' of https://github.com/daphnehanse11/analysis…
daphnehanse11 Sep 25, 2025
813ca37
Refactor file organization for improved clarity and accessibility
daphnehanse11 Sep 29, 2025
5e27908
Add NJ winners and losers analysis CSV files for detailed income chan…
daphnehanse11 Sep 29, 2025
c059d63
joisy
daphnehanse11 Oct 2, 2025
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Binary file modified .DS_Store
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1 change: 1 addition & 0 deletions .gitignore
Original file line number Diff line number Diff line change
Expand Up @@ -160,3 +160,4 @@ cython_debug/
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
us/medicaid/enhanced_cps_2024.h5
75 changes: 75 additions & 0 deletions data/NJ/obbba/cd/new_data/nj.ipynb
Original file line number Diff line number Diff line change
@@ -0,0 +1,75 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/daphnehansell/miniconda3/envs/policyengine/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n"
]
},
{
"data": {
"text/plain": [
"8940965.897404626"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from policyengine_us import Microsimulation\n",
"sim = Microsimulationdata/NJ/obbba/cd/nj_winners_losers_analysis.py\n",
"sim.calculate(\"person_count\", map_to=\"household\").sum()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"238999.10712781738"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sim.calculate(\"household_count\", map_to=\"household\").sum()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "policyengine",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.16"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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