Campus Recruitment

Academic and Employability Factors influencing placement

@kaggle.benroshan_factors_affecting_campus_placement

Table List

1 table(15.37 KB)

Placement Data Full Class

@kaggle.benroshan_factors_affecting_campus_placement.placement_data_full_class

15.37 KB
215 rows
15 columns

sl_no Sl No	gender Gender	ssc_p Ssc P	ssc_b Ssc B	hsc_p Hsc P	hsc_b Hsc B	hsc_s Hsc S	degree_p Degree P	degree_t Degree T	workex Workex	etest_p Etest P	specialisation Specialisation	mba_p Mba P	status Status	salary Salary
1	M	67	Others	91	Others	Commerce	58	Sci&Tech	No	55	Mkt&HR	58.8	Placed	270000
2	M	79.33	Central	78.33	Others	Science	77.48	Sci&Tech	Yes	86.5	Mkt&Fin	66.28	Placed	200000
3	M	65	Central	68	Central	Arts	64	Comm&Mgmt	No	75	Mkt&Fin	57.8	Placed	250000
4	M	56	Central	52	Central	Science	52	Sci&Tech	No	66	Mkt&HR	59.43	Not Placed
5	M	85.8	Central	73.6	Central	Commerce	73.3	Comm&Mgmt	No	96.8	Mkt&Fin	55.5	Placed	425000
6	M	55	Others	49.8	Others	Science	67.25	Sci&Tech	Yes	55	Mkt&Fin	51.58	Not Placed
7	F	46	Others	49.2	Others	Commerce	79	Comm&Mgmt	No	74.28	Mkt&Fin	53.29	Not Placed
8	M	82	Central	64	Central	Science	66	Sci&Tech	Yes	67	Mkt&Fin	62.14	Placed	252000
9	M	73	Central	79	Central	Commerce	72	Comm&Mgmt	No	91.34	Mkt&Fin	61.29	Placed	231000
10	M	58	Central	70	Central	Commerce	61	Comm&Mgmt	No	54	Mkt&Fin	52.21	Not Placed


CREATE TABLE placement_data_full_class (
  "sl_no" BIGINT,
  "gender" VARCHAR,
  "ssc_p" DOUBLE,
  "ssc_b" VARCHAR,
  "hsc_p" DOUBLE,
  "hsc_b" VARCHAR,
  "hsc_s" VARCHAR,
  "degree_p" DOUBLE,
  "degree_t" VARCHAR,
  "workex" VARCHAR,
  "etest_p" DOUBLE,
  "specialisation" VARCHAR,
  "mba_p" DOUBLE,
  "status" VARCHAR,
  "salary" DOUBLE
);