Clinical, Anthropometric & Bio-Chemical Survey

1.89m records & 53 variables of unit level annual health survey data from India.

@kaggle.rajanand_cab_survey

Table List

9 tables(45.77 MB)

Cab 20 Jh

@kaggle.rajanand_cab_survey.cab_20_jh

3.23 MB
127810 rows
54 columns

state_code State Code	district_code District Code	rural_urban Rural Urban	stratum Stratum	psu_id Psu Id	ahs_house_unit Ahs House Unit	house_hold_no House Hold No	date_survey Date Survey	test_salt_iodine Test Salt Iodine	record_code_iodine Record Code Iodine	sl_no Sl No	sex Sex	usual_residance Usual Residance	usual_residance_reason Usual Residance Reason	identification_code Identification Code	age_code Age Code	age Age	month_of_birth Month Of Birth	year_of_birth Year Of Birth	weight_measured Weight Measured	weight_in_kg Weight In Kg	length_height_measured Length Height Measured	length_height_code Length Height Code	length_height_cm Length Height Cm	haemoglobin_test Haemoglobin Test	haemoglobin Haemoglobin	haemoglobin_level Haemoglobin Level	bp_systolic Bp Systolic	bp_systolic_2_reading Bp Systolic 2 Reading	bp_diastolic Bp Diastolic	bp_diastolic_2reading Bp Diastolic 2reading	pulse_rate Pulse Rate	pulse_rate_2_reading Pulse Rate 2 Reading	diabetes_test Diabetes Test	fasting_blood_glucose Fasting Blood Glucose	fasting_blood_glucose_mg_dl Fasting Blood Glucose Mg Dl	marital_status Marital Status	gauna_perfor_not_perfor Gauna Perfor Not Perfor	duration_pregnanacy Duration Pregnanacy	first_breast_feeding First Breast Feeding	is_cur_breast_feeding Is Cur Breast Feeding	day_or_month_for_breast_feeding Day Or Month For Breast Feeding	day_or_month_for_breast_feeding_851deb Day Or Month For Breast Feeding	water_month Water Month	ani_milk_month Ani Milk Month	semisolid_month_or_day Semisolid Month Or Day	solid_month Solid Month	vegetables_month_or_day Vegetables Month Or Day	illness_type Illness Type	illness_duration Illness Duration	treatment_type Treatment Type
20	1	1	1	1534096	15	1	14/11/2014	30	3	5	1	1		54	Y	13	9	2001	1	38.099998	1	H	133	1	1	11	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1
20	1	1	1	1534153	15	1	14/11/2014	30	3	6	2	1		55	Y	11	11	2003	1	35	1	H	130	1	1	9.1999998	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1
20	1	1	1	1533498	20	1	14/11/2014	30	3	1	1	1		65	Y	50	6	1964	1	44	1	H	159.5	1	1	10.4	109	113	83	82	89	85	1	1	95	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1
20	1	1	1	1533542	20	1	14/11/2014	30	3	2	2	1		66	Y	45		1969	1	40.5	1	H	146.5	1	1	9.1999998	114	117	82	80	85	85	1	1	86	3	3	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1
20	1	1	1	1533856	20	1	14/11/2014	30	3	3	1	2	OUT OF PSU	67	Y	20	4	1994	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1
20	1	1	1	1534097	20	1	14/11/2014	30	3	4	1	1		68	Y	16	4	2001	1	49.099998	1	H	149.8	1	1	10.2	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1
20	1	1	1	1533500	20	2	14/11/2014	30	3	1	1	1		69	Y	50		1964	1	53.900002	1	H	155.39999	1	1	11	137	130	90	92	97	98	1	1	99	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1
20	1	1	1	1533545	20	2	14/11/2014	30	3	2	2	1		70	Y	45		1969	1	43	1	H	145.60001	1	1	11	110	110	80	78	83	73	1	1	86	3	3	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1
20	1	1	1	1534100	20	2	14/11/2014	30	3	3	2	1		71	Y	12	1	2002	1	23.6	1	H	120	1	1	11.2	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1
20	1	1	1	1534208	20	2	14/11/2014	30	3	4	1	1		72	Y	9	12	2005	1	17.299999	1	H	105.2	1	1	6.4000001	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1	-1


CREATE TABLE cab_20_jh (
  "state_code" DOUBLE,
  "district_code" BIGINT,
  "rural_urban" VARCHAR,
  "stratum" BIGINT,
  "psu_id" BIGINT,
  "ahs_house_unit" BIGINT,
  "house_hold_no" BIGINT,
  "date_survey" VARCHAR,
  "test_salt_iodine" BIGINT,
  "record_code_iodine" BIGINT,
  "record_code_iodine_reason" VARCHAR,
  "sl_no" BIGINT,
  "sex" BIGINT,
  "usual_residance" BIGINT,
  "usual_residance_reason" VARCHAR,
  "identification_code" DOUBLE,
  "age_code" VARCHAR,
  "age" DOUBLE,
  "date_of_birth" DOUBLE,
  "month_of_birth" DOUBLE,
  "year_of_birth" DOUBLE,
  "weight_measured" DOUBLE,
  "weight_in_kg" DOUBLE,
  "length_height_measured" DOUBLE,
  "length_height_code" VARCHAR,
  "length_height_cm" DOUBLE,
  "haemoglobin_test" DOUBLE,
  "haemoglobin" DOUBLE,
  "haemoglobin_level" DOUBLE,
  "bp_systolic" DOUBLE,
  "bp_systolic_2_reading" DOUBLE,
  "bp_diastolic" DOUBLE,
  "bp_diastolic_2reading" DOUBLE,
  "pulse_rate" DOUBLE,
  "pulse_rate_2_reading" DOUBLE,
  "diabetes_test" DOUBLE,
  "fasting_blood_glucose" DOUBLE,
  "fasting_blood_glucose_mg_dl" DOUBLE,
  "marital_status" DOUBLE,
  "gauna_perfor_not_perfor" DOUBLE,
  "duration_pregnanacy" DOUBLE,
  "first_breast_feeding" DOUBLE,
  "is_cur_breast_feeding" DOUBLE,
  "day_or_month_for_breast_feeding" VARCHAR,
  "day_or_month_for_breast_feeding_851deb" DOUBLE,
  "water_month" DOUBLE,
  "ani_milk_month" DOUBLE,
  "semisolid_month_or_day" DOUBLE,
  "solid_month" DOUBLE,
  "vegetables_month_or_day" DOUBLE,
  "illness_type" DOUBLE,
  "illness_duration" DOUBLE,
  "treatment_type" DOUBLE,
  "v54" VARCHAR
);