Census Income Data Set

Predict whether income exceeds $50K/yr based on census data.

@kaggle.vivamoto_us_adult_income_update

Table List

3 tables(1.03 MB)

Census

Test

Train

Census

@kaggle.vivamoto_us_adult_income_update.census

506 KB
48842 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_gain Capital-gain	hours_per_week Hours-per-week	native_country Native-country	income Income
25	Private	226802	11th	7	Never-married	Machine-op-inspct	Own-child	Black	Male		40	United-States	<=50K
38	Private	89814	HS-grad	9	Married-civ-spouse	Farming-fishing	Husband	White	Male		50	United-States	<=50K
28	Local-gov	336951	Assoc-acdm	12	Married-civ-spouse	Protective-serv	Husband	White	Male		40	United-States	>50K
44	Private	160323	Some-college	10	Married-civ-spouse	Machine-op-inspct	Husband	Black	Male	7688	40	United-States	>50K
18	?	103497	Some-college	10	Never-married	?	Own-child	White	Female		30	United-States	<=50K
34	Private	198693	10th	6	Never-married	Other-service	Not-in-family	White	Male		30	United-States	<=50K
29	?	227026	HS-grad	9	Never-married	?	Unmarried	Black	Male		40	United-States	<=50K
63	Self-emp-not-inc	104626	Prof-school	15	Married-civ-spouse	Prof-specialty	Husband	White	Male	3103	32	United-States	>50K
24	Private	369667	Some-college	10	Never-married	Other-service	Unmarried	White	Female		40	United-States	<=50K
55	Private	104996	7th-8th	4	Married-civ-spouse	Craft-repair	Husband	White	Male		10	United-States	<=50K


CREATE TABLE census (
  "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
);