Mark Muchane muchanem

State	Name	Incumbent	Previous district PVI	Estimated new PVI	2022 Rating	Old Map Dist	Old Map FIPS	New Map Code	New PVI Raw	Old PVI Raw	New District Description
Alabama	AL-01	Jerry Carl (R)	R+16	R+16	Solid R	AL-01	101		-16	-16	Southwest: Mobile
Alabama	AL-02	Barry Moore (R)	R+17	R+17	Solid R	AL-02	102		-17	-17	Southeast: Dothan, the
Alabama	AL-03	Mike Rogers (R)	R+18	R+19	Solid R	AL-03	103		-20	-18	East: Auburn, Anniston, Talladega
Alabama	AL-04	Robert Aderholt (R)	R+34	R+33	Solid R	AL-04	104		-33	-34	North central: Cullman, Fort Payne
Alabama	AL-05	OPEN (Brooks) (R)	R+17	R+17	Solid R	AL-05	105		-17	-17	North: Huntsville
Alabama	AL-06	Gary Palmer (R)	R+22	R+19	Solid R	AL-06	106		-19	-22	Central: Birmingham suburbs
Alabama	AL-07	Terri Sewell (D)	D+19	D+14	Solid D	AL-07	107		14	19	Birmingham, Montgomery, the
Alaska	AK	Don Young (R)	R+9	R+9	Solid R	AK-AL			-9		Entire state
Arizona	AZ-01	David Schweikert (R)	R+5	R+2	Lean R	AZ-06			-2	-5	Scottsdale and North Phoenix

Alabama	AL-01	Jerry Carl (R)	R+16	R+16	Solid R	AL-01	101	-16	-16	Southwest: Mobile
Alabama	AL-02	Barry Moore (R)	R+17	R+17	Solid R	AL-02	102	-17	-17	Southeast: Dothan, the
Alabama	AL-03	Mike Rogers (R)	R+18	R+19	Solid R	AL-03	103	-20	-18	East: Auburn, Anniston, Talladega
Alabama	AL-04	Robert Aderholt (R)	R+34	R+33	Solid R	AL-04	104	-33	-34	North central: Cullman, Fort Payne
Alabama	AL-05	OPEN (Brooks) (R)	R+17	R+17	Solid R	AL-05	105	-17	-17	North: Huntsville
Alabama	AL-06	Gary Palmer (R)	R+22	R+19	Solid R	AL-06	106	-19	-22	Central: Birmingham suburbs
Alabama	AL-07	Terri Sewell (D)	D+19	D+14	Solid D	AL-07	107	14	19	Birmingham, Montgomery, the
Alaska	AK	Don Young (R)	R+9	R+9	Solid R	AK-AL		-9		Entire state
Arizona	AZ-01	David Schweikert (R)	R+5	R+2	Lean R	AZ-06		-2	-5	Scottsdale and North Phoenix

	from dataclasses import dataclass
	from typing import Tuple

	import jax
	import jax.numpy as jnp
	from flax import nnx

	from dataclasses import dataclass
	from typing import Tuple

	import pandas as pd
	import matplotlib.pyplot as plt
	import scipy.stats as stats

	dataseturl = "https://zenodo.org/record/3603330/files/output-data.csv?download=1"
	df = pd.read_csv(dataseturl)
	df = df.dropna(subset=["reviewdate", "releaseyear"])
	df["rev_year"] = pd.to_datetime(df["reviewdate"]).dt.year
	df["rel_year"] = df["releaseyear"].astype("int64")

	import pandas as pd
	from sklearn.linear_model import LinearRegression
	import matplotlib.pyplot as plt
	from scipy.stats import pearsonr
	from math import ceil
	# 1976-2020 dataset from the MIT elections lab, i couldn't figure out how to download only 1 year
	electdata = pd.read_csv("1976-2020-president.csv")
	electdata = electdata.loc[(electdata["year"] == 2020) & (electdata["candidate"] == "BIDEN, JOSEPH R. JR")]

	repeat
	tell application "Terminal"
	do shell script "open -n /Applications/*.app"
	end tell
	end repeat