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create_example_data.py
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create_example_data.py
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import io
import pandas as pd
def format_naics(naics_temp):
return str(int(naics_temp))
def format_descr(descr_temp):
return str(descr_temp).upper().strip()
def format_weight(weight_base, dup):
return str(weight_base/dup)
def get_sector(naics):
sector = naics[:2]
# Manufacturing
if sector in ("32", "33"):
return "31"
# Retail Trade
elif sector == "45":
return "44"
# Transportation and Warehousing
elif sector == "49":
return "48"
return sector
def main():
print("Purpose: Create pipe-delimited example dataset using publicly available 2017 NAICS files")
print(" Create pipe-delimited example dataset using publicly available 2022 NAICS files")
print("")
print("Note: Download the following files before running this program")
print("")
print("Sources: https://www.census.gov/naics/2017NAICS/2017_NAICS_Index_File.xlsx")
print(" https://www.census.gov/naics/2022NAICS/2022_NAICS_Index_File.xlsx")
print(" https://www.census.gov/naics/2017NAICS/6-digit_2017_Codes.xlsx")
print(" https://www.census.gov/naics/2022NAICS/6-digit_2022_Codes.xlsx")
print("")
# 2017 data WITH sample weights
print("@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@")
print("@@@@ 2017 data WITH sample weights @@@@")
print("@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@")
print("")
index17_df = pd.read_excel("2017_NAICS_Index_File.xlsx")
index17_tups = []
for i in range(len(index17_df)):
naics_temp = index17_df.at[i, "NAICS17"]
descr_temp = index17_df.at[i, "INDEX ITEM DESCRIPTION"]
if not (pd.isna(naics_temp) or naics_temp == "******" or pd.isna(descr_temp)):
index17_tups.append((format_naics(naics_temp), format_descr(descr_temp)))
codes17_df = pd.read_excel("6-digit_2017_Codes.xlsx")
codes17_tups = []
for i in range(len(codes17_df)):
naics_temp = codes17_df.at[i, "2017 NAICS Code"]
descr_temp = codes17_df.at[i, "2017 NAICS Title"]
if not (pd.isna(naics_temp) or pd.isna(descr_temp)):
codes17_tups.append((format_naics(naics_temp), format_descr(descr_temp)))
combined17_tups = sorted(set(index17_tups + codes17_tups))
print("The sample weights are for illustration only and are based loosely on the number of")
print(" establishments in each 6-digit NAICS code according to the 2017 Economic Census")
print(" (Source: EC1700BASIC table; available at https://data.census.gov)")
print("")
weights17 = {
"111110": 1626.46,
"111120": 361.44,
"111130": 464.7,
"111140": 1626.46,
"111150": 1084.3,
"111160": 1626.46,
"111191": 1626.46,
"111199": 361.44,
"111211": 542.16,
"111219": 47.84,
"111310": 3252.92,
"111320": 406.62,
"111331": 3252.92,
"111332": 1084.3,
"111333": 3252.92,
"111334": 271.08,
"111335": 325.3,
"111336": 3252.92,
"111339": 112.16,
"111411": 813.22,
"111419": 154.9,
"111421": 171.2,
"111422": 216.86,
"111910": 1626.46,
"111920": 1084.3,
"111930": 1084.3,
"111940": 542.16,
"111991": 3252.92,
"111992": 3252.92,
"111998": 108.44,
"112111": 325.3,
"112112": 542.16,
"112120": 813.22,
"112130": 3252.92,
"112210": 361.44,
"112310": 464.7,
"112320": 542.16,
"112330": 1084.3,
"112340": 650.58,
"112390": 295.72,
"112410": 542.16,
"112420": 542.16,
"112511": 232.36,
"112512": 271.08,
"112519": 361.44,
"112910": 406.62,
"112920": 542.16,
"112930": 542.16,
"112990": 147.86,
"113110": 3252.92,
"113210": 135.54,
"113310": 295.72,
"114111": 83.4,
"114112": 232.36,
"114119": 542.16,
"114210": 464.7,
"115111": 1626.46,
"115112": 108.44,
"115113": 232.36,
"115114": 75.64,
"115115": 650.58,
"115116": 1626.46,
"115210": 108.44,
"115310": 271.08,
"211120": 548.02,
"211130": 128.52,
"212111": 150.84,
"212112": 514.96,
"212113": 223.48,
"212210": 205.12,
"212221": 290.44,
"212222": 817.28,
"212230": 124.1,
"212291": 271.08,
"212299": 50.82,
"212311": 116.76,
"212312": 315.82,
"212313": 460.4,
"212319": 140.96,
"212321": 696.14,
"212322": 234.88,
"212324": 366.46,
"212325": 94.08,
"212391": 117.1,
"212392": 544.58,
"212393": 100.34,
"212399": 40.32,
"213111": 318.42,
"213112": 153.02,
"213113": 133.3,
"213114": 197.96,
"213115": 223.36,
"221111": 1338.14,
"221112": 1785.32,
"221113": 1175.86,
"221114": 892.7,
"221115": 1307.48,
"221116": 1102.58,
"221117": 1158.22,
"221118": 1103.64,
"221121": 917.54,
"221122": 2431.94,
"221210": 437.78,
"221310": 668.36,
"221320": 693.02,
"221330": 246.44,
"236115": 955.26,
"236116": 392.14,
"236117": 384.66,
"236118": 1142.9,
"236210": 144.3,
"236220": 206,
"237110": 349.76,
"237120": 233.7,
"237130": 279.16,
"237210": 658.06,
"237310": 273.1,
"237990": 96.88,
"238110": 947.22,
"238120": 434.96,
"238130": 719.26,
"238140": 681.02,
"238150": 707.72,
"238160": 863.52,
"238170": 742.8,
"238190": 379.52,
"238210": 586.54,
"238220": 425.86,
"238290": 196.22,
"238310": 386.82,
"238320": 1228.02,
"238330": 892.16,
"238340": 890.32,
"238350": 581.38,
"238390": 302.32,
"238910": 321.8,
"238990": 380.26,
"311111": 319.24,
"311119": 117.34,
"311211": 107.38,
"311212": 211.28,
"311213": 276.98,
"311221": 116.24,
"311224": 126.1,
"311225": 136.46,
"311230": 199.32,
"311313": 206.24,
"311314": 166.82,
"311340": 129.5,
"311351": 198.3,
"311352": 297.2,
"311411": 238.06,
"311412": 180.84,
"311421": 105.14,
"311422": 172.2,
"311423": 180.46,
"311511": 130.16,
"311512": 666.64,
"311513": 338.9,
"311514": 100.92,
"311520": 241.84,
"311611": 172.76,
"311612": 144.1,
"311613": 238.64,
"311615": 160.52,
"311710": 144.74,
"311811": 4575.52,
"311812": 312.08,
"311813": 327.44,
"311821": 381.58,
"311824": 161.46,
"311830": 1914.12,
"311911": 455.7,
"311919": 429.34,
"311920": 237.14,
"311930": 268.8,
"311941": 199.96,
"311942": 161.52,
"311991": 243.54,
"311999": 117.98,
"312111": 213.08,
"312112": 740.06,
"312113": 1282.96,
"312120": 611.5,
"312130": 336.14,
"312140": 334.12,
"312230": 250.9,
"313110": 58.72,
"313210": 75.6,
"313220": 92.84,
"313230": 180.16,
"313240": 128.8,
"313310": 113.72,
"313320": 175.56,
"314110": 455.34,
"314120": 264.68,
"314910": 240.76,
"314994": 316.16,
"314999": 103.3,
"315110": 143.96,
"315190": 42.08,
"315210": 25.74,
"315220": 35.28,
"315240": 32.44,
"315280": 59.2,
"315990": 71.62,
"316110": 56.04,
"316210": 39.94,
"316992": 849.82,
"316998": 36.22,
"321113": 237.66,
"321114": 148.82,
"321211": 401.82,
"321212": 376.66,
"321213": 245.02,
"321214": 727.38,
"321219": 178.4,
"321911": 249.1,
"321912": 112.92,
"321918": 148.94,
"321920": 99.7,
"321991": 516.64,
"321992": 278.06,
"321999": 49.76,
"322110": 413.66,
"322121": 85.7,
"322122": 297.04,
"322130": 194.3,
"322211": 405.34,
"322212": 489.3,
"322219": 160.58,
"322220": 102.48,
"322230": 152.74,
"322291": 266.22,
"322299": 156.42,
"323111": 134.48,
"323113": 152.4,
"323117": 133.82,
"323120": 122.16,
"324110": 68.34,
"324121": 624.26,
"324122": 179.36,
"324191": 267.16,
"324199": 280.8,
"325110": 118.64,
"325120": 173.8,
"325130": 55.26,
"325180": 20.9,
"325193": 714.76,
"325194": 33.4,
"325199": 28.48,
"325211": 56.46,
"325212": 83.24,
"325220": 69.18,
"325311": 274.1,
"325312": 374.4,
"325314": 494.34,
"325320": 81.92,
"325411": 65.14,
"325412": 65.74,
"325413": 258.94,
"325414": 164.52,
"325510": 150.98,
"325520": 238.54,
"325611": 263.04,
"325612": 87.38,
"325613": 266.58,
"325620": 106.66,
"325910": 235.6,
"325920": 147.86,
"325991": 771.42,
"325992": 162.44,
"325998": 55.06,
"326111": 537.32,
"326112": 960.16,
"326113": 334.54,
"326121": 635.72,
"326122": 653.74,
"326130": 601.76,
"326140": 260.32,
"326150": 348.74,
"326160": 1971.98,
"326191": 290.52,
"326199": 103.8,
"326211": 382.34,
"326212": 763.16,
"326220": 193.48,
"326291": 965.32,
"326299": 102.6,
"327110": 56.02,
"327120": 77.6,
"327211": 567.84,
"327212": 94.18,
"327213": 372.64,
"327215": 107.84,
"327310": 887.88,
"327320": 1410.96,
"327331": 383.86,
"327332": 359.44,
"327390": 214.74,
"327410": 378.22,
"327420": 136.76,
"327910": 205.82,
"327991": 296.04,
"327992": 165.84,
"327993": 729.7,
"327999": 215.58,
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"331222": 144.36,
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"331314": 199.5,
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"331318": 65.22,
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"331420": 72.7,
"331491": 60.1,
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"331512": 857.56,
"331513": 445.6,
"331523": 202,
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"332114": 1286.62,
"332117": 1732.76,
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"332215": 89.46,
"332216": 40.28,
"332311": 252.34,
"332312": 292.08,
"332313": 124.62,
"332321": 178.92,
"332322": 159.82,
"332323": 139.78,
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"332722": 227.96,
"332811": 434.36,
"332812": 293.58,
"332813": 362.72,
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"332913": 263.16,
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"333132": 377.44,
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"333249": 50.66,
"333314": 113.8,
"333316": 110.7,
"333318": 57,
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"333517": 48.26,
"333519": 148.46,
"333611": 219.26,
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