Spaces:
Running
Running
countries_dict = { | |
"United-States": 0, | |
"Cambodia": 1, | |
"England": 2, | |
"Puerto-Rico": 3, | |
"Canada": 4, | |
"Germany": 5, | |
"Outlying-US (Guam - USVI - etc.)": 6, | |
"India": 7, | |
"Japan": 8, | |
"Greece": 9, | |
"South": 10, | |
"China": 11, | |
"Cuba": 12, | |
"Iran": 13, | |
"Honduras": 14, | |
"Philippines": 15, | |
"Italy": 16, | |
"Poland": 17, | |
"Jamaica": 18, | |
"Vietnam": 19, | |
"Mexico": 20, | |
"Portugal": 21, | |
"Ireland": 22, | |
"France": 23, | |
"Dominican Republic": 24, | |
"Laos": 25, | |
"Ecuador": 26, | |
"Taiwan": 27, | |
"Haiti": 28, | |
"Columbia": 29, | |
"Hungary": 30, | |
"Guatemala": 31, | |
"Nicaragua": 32, | |
"Scotland": 33, | |
"Thailand": 34, | |
"Yugoslavia": 35, | |
"El Salvador": 36, | |
"Trinadad & Tobago": 37, | |
"Peru": 38, | |
"Hong": 39, | |
"Holland - Netherlands": 40, | |
} | |
relationship_dict = { | |
"Unmarried": 5, | |
"Wife": 0, | |
"Husband": 2, | |
"Single parent": 1, | |
"Other dependant": 4, | |
} | |
occupation_dict = { | |
"Prof Specialty": 5, | |
"Tech Support": 0, | |
"Craft Repair": 1, | |
"Other Service": 2, | |
"Sales": 3, | |
"Executive Managerial": 4, | |
"Handlers Cleaners": 6, | |
"Machine Op Inspect": 7, | |
"Adm Clerical": 8, | |
"Farming Fishing": 9, | |
"Transport Moving": 10, | |
"Priv House Serv": 11, | |
"Protective Serv": 12, | |
"Armed Forces": 13, | |
} | |
education_dict = { | |
"Associate Academic": 5, | |
"Associate Vocational": 6, | |
"Prof School": 4, | |
"Doctorate": 13, | |
"Masters": 10, | |
"Bachelors": 0, | |
"Some College": 1, | |
"High School Graduate": 3, | |
"12th Grade": 9, | |
"11th Grade": 2, | |
"10th Grade": 12, | |
"9th Grade": 7, | |
"7th-8th Grade": 8, | |
"5th-6th Grade": 14, | |
"1st-4th Grade": 11, | |
"Preschool": 15, | |
} | |
type_of_work_dict = { | |
"Private": 0, | |
"Self Employed Not Incorporated": 1, | |
"Self Employed Incorporated": 2, | |
"Federal Government": 3, | |
"Local Government": 4, | |
"State Government": 5, | |
"Without Pay": 6, | |
"Never Worked": 7, | |
} | |
marital_status_dict = { | |
"Single": 2, | |
"Married": 0, | |
"Divorced": 1, | |
"Widowed": 4, | |
} | |