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import csv | ||
import json | ||
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years = [2012, 2016, 2020, 2022] | ||
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def read_int(v): | ||
try: | ||
return int(v) | ||
except: | ||
return 0 | ||
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def read_float(v): | ||
try: | ||
return float(v) | ||
except: | ||
return 0 | ||
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for year in years: | ||
with open(f"../raw_data/ACSST5Y{year}.S1501-Data.csv") as f: | ||
reader = csv.reader(f) | ||
next(reader, None) # skip header | ||
next(reader, None) # skip header | ||
i = 0 | ||
data = {} | ||
for row in reader: | ||
fips = row[0][-5:] | ||
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if year == 2012: | ||
pop18to24 = read_int(row[2]) | ||
male18to24 = read_int(row[4]) | ||
female18to24 = read_int(row[6]) | ||
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lessThanHS18to24 = read_float(row[8]) | ||
hs18to24 = read_float(row[14]) | ||
someCollege18to24 = read_float(row[20]) | ||
bachelorsOrHigher18to24 = read_float(row[26]) | ||
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pop25 = read_int(row[32]) | ||
male25 = read_int(row[34]) | ||
female25 = read_int(row[36]) | ||
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lessThan925 = read_float(row[38]) | ||
hs9to1225 = read_float(row[44]) | ||
hs25 = read_float(row[50]) | ||
someCollegeNoAss25 = read_float(row[56]) | ||
associates25 = read_float(row[62]) | ||
bachelors25 = read_float(row[68]) | ||
grad25 = read_float(row[74]) | ||
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earnings = read_int(row[188]) | ||
elif year == 2016: | ||
pop18to24 = read_int(row[2]) | ||
male18to24 = read_int(row[6]) | ||
female18to24 = read_int(row[10]) | ||
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lessThanHS18to24 = read_float(row[16]) | ||
hs18to24 = read_float(row[28]) | ||
someCollege18to24 = read_float(row[40]) | ||
bachelorsOrHigher18to24 = read_float(row[52]) | ||
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pop25 = read_int(row[62]) | ||
male25 = read_int(row[66]) | ||
female25 = read_int(row[70]) | ||
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lessThan925 = read_float(row[76]) | ||
hs9to1225 = read_float(row[88]) | ||
hs25 = read_float(row[100]) | ||
someCollegeNoAss25 = read_float(row[112]) | ||
associates25 = read_float(row[124]) | ||
bachelors25 = read_float(row[136]) | ||
grad25 = read_float(row[148]) | ||
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earnings = read_int(row[698]) | ||
else: | ||
pop18to24 = read_int(row[2]) | ||
male18to24 = read_int(row[258]) | ||
female18to24 = read_int(row[514]) | ||
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lessThanHS18to24 = read_float(row[132]) | ||
hs18to24 = read_float(row[134]) | ||
someCollege18to24 = read_float(row[136]) | ||
bachelorsOrHigher18to24 = read_float(row[138]) | ||
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pop25 = read_int(row[12]) | ||
male25 = read_int(row[268]) | ||
female25 = read_int(row[524]) | ||
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lessThan925 = read_float(row[142]) | ||
hs9to1225 = read_float(row[144]) | ||
hs25 = read_float(row[146]) | ||
someCollegeNoAss25 = read_float(row[148]) | ||
associates25 = read_float(row[150]) | ||
bachelors25 = read_float(row[152]) | ||
grad25 = read_float(row[154]) | ||
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earnings = read_int(row[118]) | ||
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lessThanHS25 = lessThan925 + hs9to1225 | ||
someCollege25 = someCollegeNoAss25 + associates25 | ||
bachelorsOrHigher25 = bachelors25 + grad25 | ||
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totalPop = pop18to24 + pop25 | ||
totalMale = male18to24 + male25 | ||
totalFemale = female18to24 + female25 | ||
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# print(fips, totalPop, totalMale, totalFemale, earnings) | ||
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lessThanHS = (lessThanHS18to24 * pop18to24 + lessThanHS25 * pop25) / totalPop | ||
hs = (hs18to24 * pop18to24 + hs25 * pop25) / totalPop | ||
someCollege = (someCollege18to24 * pop18to24 + someCollege25 * pop25) / totalPop | ||
bachelors = (bachelorsOrHigher18to24 * pop18to24 + bachelorsOrHigher25 * pop25) / totalPop | ||
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total = lessThanHS + hs + someCollege + bachelors | ||
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county_data = { | ||
"population": totalPop, | ||
"male_population": totalMale, | ||
"female_population": totalFemale, | ||
"median_income": earnings, | ||
"less_than_hs": lessThanHS, | ||
"hs": hs, | ||
"some_college": someCollege, | ||
"bachelors_or_higher": bachelors | ||
} | ||
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data[fips] = county_data | ||
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with open(f"../data/{year}_education.json", "w") as fo: | ||
fo.write(json.dumps(data)) |