Adult Census Income Dataset

The following was retrieved from UCI machine learning repository.

@kaggle.priyamchoksi_adult_census_income_dataset

Table List

1 table(339.29 KB)

Adult

@kaggle.priyamchoksi_adult_census_income_dataset.adult

339.29 KB
32561 rows
15 columns

age Age	workclass Workclass	fnlwgt Fnlwgt	education Education	education_num Education.num	marital_status Marital.status	occupation Occupation	relationship Relationship	race Race	sex Sex	capital_loss Capital.loss	hours_per_week Hours.per.week	native_country Native.country	income Income
90	?	77053	HS-grad	9	Widowed	?	Not-in-family	White	Female	4356	40	United-States	<=50K
82	Private	132870	HS-grad	9	Widowed	Exec-managerial	Not-in-family	White	Female	4356	18	United-States	<=50K
66	?	186061	Some-college	10	Widowed	?	Unmarried	Black	Female	4356	40	United-States	<=50K
54	Private	140359	7th-8th	4	Divorced	Machine-op-inspct	Unmarried	White	Female	3900	40	United-States	<=50K
41	Private	264663	Some-college	10	Separated	Prof-specialty	Own-child	White	Female	3900	40	United-States	<=50K
34	Private	216864	HS-grad	9	Divorced	Other-service	Unmarried	White	Female	3770	45	United-States	<=50K
38	Private	150601	10th	6	Separated	Adm-clerical	Unmarried	White	Male	3770	40	United-States	<=50K
74	State-gov	88638	Doctorate	16	Never-married	Prof-specialty	Other-relative	White	Female	3683	20	United-States	>50K
68	Federal-gov	422013	HS-grad	9	Divorced	Prof-specialty	Not-in-family	White	Female	3683	40	United-States	<=50K
41	Private	70037	Some-college	10	Never-married	Craft-repair	Unmarried	White	Male	3004	60	?	>50K


CREATE TABLE adult (
  "age" BIGINT,
  "workclass" VARCHAR,
  "fnlwgt" BIGINT,
  "education" VARCHAR,
  "education_num" BIGINT,
  "marital_status" VARCHAR,
  "occupation" VARCHAR,
  "relationship" VARCHAR,
  "race" VARCHAR,
  "sex" VARCHAR,
  "capital_gain" BIGINT,
  "capital_loss" BIGINT,
  "hours_per_week" BIGINT,
  "native_country" VARCHAR,
  "income" VARCHAR
);