Wages And Education Of Young Males Dataset

Is there a relation between education, industry-type, experience ... and wage?

@kaggle.jacopoferretti_wages_and_education_of_young_males_dataset

Table List

1 table(79.87 KB)

Males

@kaggle.jacopoferretti_wages_and_education_of_young_males_dataset.males

79.87 KB
4360 rows
13 columns

rownames Rownames	nr Nr	year Year	school School	exper Exper	union Union	ethn Ethn	maried Maried	health Health	wage Wage	industry Industry	occupation Occupation	residence Residence
1	13	1980	14	1	no	other	no	no	1.1975402046	Business_and_Repair_Service	Service_Workers	north_east
2	13	1981	14	2	yes	other	no	no	1.8530599951	Personal_Service	Service_Workers	north_east
3	13	1982	14	3	no	other	no	no	1.3444616775	Business_and_Repair_Service	Service_Workers	north_east
4	13	1983	14	4	no	other	no	no	1.4332133359	Business_and_Repair_Service	Service_Workers	north_east
5	13	1984	14	5	no	other	no	no	1.5681250801	Personal_Service	Craftsmen, Foremen_and_kindred	north_east
6	13	1985	14	6	no	other	no	no	1.6998909418	Business_and_Repair_Service	Managers, Officials_and_Proprietors	north_east
7	13	1986	14	7	no	other	no	no	-0.720262576	Business_and_Repair_Service	Managers, Officials_and_Proprietors	north_east
8	13	1987	14	8	no	other	no	no	1.6691879168	Business_and_Repair_Service	Managers, Officials_and_Proprietors	north_east
9	17	1980	13	4	no	other	no	no	1.6759624043	Trade	Managers, Officials_and_Proprietors	north_east
10	17	1981	13	5	no	other	no	no	1.5183982018	Trade	Managers, Officials_and_Proprietors	north_east


CREATE TABLE males (
  "rownames" BIGINT,
  "nr" BIGINT,
  "year" BIGINT,
  "school" BIGINT,
  "exper" BIGINT,
  "union" VARCHAR,
  "ethn" VARCHAR,
  "maried" VARCHAR,
  "health" VARCHAR,
  "wage" DOUBLE,
  "industry" VARCHAR,
  "occupation" VARCHAR,
  "residence" VARCHAR
);