Female Employment Vs Socioeconimic Factors

Participation of Women in Total Workforce against Multiple Factors

@kaggle.mdmuhtasimbillah_female_employment_vs_socioeconimic_factors

Table List

1 table(10.75 KB)

Mlr2

@kaggle.mdmuhtasimbillah_female_employment_vs_socioeconimic_factors.mlr2

10.75 KB
25 rows
12 columns

year Year	perfememploy PerFemEmploy	fertilityrate FertilityRate	ratio_maletofemale Ratio MaletoFemale	perfememployers PerFemEmployers	agriculture Agriculture	industry Industry	services Services	wage_salaried Wage\u0026Salaried	contrfamworkers ContrFamWorkers	ownaccount OwnAccount	vulnerable Vulnerable
1995	24.3	3.71	28.33	0.1	84.79	7.66	7.56	18.03	66.8	15.07	81.87
1996	24.57	3.59	28.72	0.1	82.28	7.46	10.27	18.38	66.39	15.14	81.52
1997	24.82	3.48	29.18	0.1	81.19	7.57	11.24	18.74	65.95	15.21	81.16
1998	25.11	3.37	29.67	0.1	80.28	7.77	11.95	19.11	65.53	15.26	80.79
1999	25.38	3.27	30.17	0.1	79.52	8.12	12.36	19.5	65.01	15.39	80.4
2000	25.63	3.17	30.66	0.1	78.78	8.65	12.57	19.9	64.53	15.47	80
2001	25.78	3.07	31.02	0.1	77.44	9.01	13.55	20.31	64.07	15.52	79.58
2002	25.89	2.97	31.4	0.11	75.96	9.51	14.53	20.81	63.46	15.63	79.09
2003	25.96	2.88	31.77	0.11	74.28	10.11	15.61	21.31	62.84	15.74	78.58
2004	25.89	2.78	32.13	0.11	72.48	10.83	16.69	21.73	62.42	15.74	78.16


CREATE TABLE mlr2 (
  "year" BIGINT,
  "perfememploy" DOUBLE,
  "fertilityrate" VARCHAR,
  "ratio_maletofemale" DOUBLE,
  "perfememployers" DOUBLE,
  "agriculture" DOUBLE,
  "industry" DOUBLE,
  "services" DOUBLE,
  "wage_salaried" DOUBLE,
  "contrfamworkers" DOUBLE,
  "ownaccount" DOUBLE,
  "vulnerable" DOUBLE
);