Predict Mortality/Death Rate.

770k records & 121 variables of unit level survey data collected from 9 States.

@kaggle.rajanand_mortality

Table List

9 tables(55.61 MB)

Mortality 08 Rj

@kaggle.rajanand_mortality.mortality_08_rj

3.77 MB
57573 rows
122 columns
Only the first 100 columns are shown

id Id	m_id M Id	client_m_id Client M Id	hl_id Hl Id	house_no House No	house_hold_no House Hold No	state State	district District	rural Rural	stratum_code Stratum Code	psu_id Psu Id	m_serial_no M Serial No	deceased_sex Deceased Sex	date_of_death Date Of Death	month_of_death Month Of Death	year_of_death Year Of Death	age_of_death_below_one_month Age Of Death Below One Month	age_of_death_below_eleven_month Age Of Death Below Eleven Month	age_of_death_above_one_year Age Of Death Above One Year	treatment_source Treatment Source	place_of_death Place Of Death	is_death_reg Is Death Reg	is_death_certificate_received Is Death Certificate Received	serial_num_of_infant_mother Serial Num Of Infant Mother	order_of_birth Order Of Birth	death_symptoms Death Symptoms	is_death_associated_with_pregnan Is Death Associated With Pregnan	hh_id Hh Id	client_hh_id Client Hh Id	currently_dead_or_out_migrated Currently Dead Or Out Migrated	hh_serial_no Hh Serial No	sex Sex	usual_residance Usual Residance	relation_to_head Relation To Head	member_identity Member Identity	mother_serial_no Mother Serial No	date_of_birth Date Of Birth	month_of_birth Month Of Birth	year_of_birth Year Of Birth	age Age	religion Religion	social_group_code Social Group Code	marital_status Marital Status	date_of_marriage Date Of Marriage	month_of_marriage Month Of Marriage	year_of_marriage Year Of Marriage	highest_qualification Highest Qualification	occupation_status Occupation Status	disability_status Disability Status	symptoms_pertaining_illness Symptoms Pertaining Illness	chew Chew	smoke Smoke	alcohol Alcohol	status Status	hh_expall_status Hh Expall Status	client_hl_id Client Hl Id	serial_no Serial No	building_no Building No	house_status House Status	house_structure House Structure	owner_status Owner Status	drinking_water_source Drinking Water Source	is_water_filter Is Water Filter	water_filteration Water Filteration	toilet_used Toilet Used	is_toilet_shared Is Toilet Shared	household_have_electricity Household Have Electricity	lighting_source Lighting Source	cooking_fuel Cooking Fuel	no_of_dwelling_rooms No Of Dwelling Rooms	kitchen_availability Kitchen Availability	is_radio Is Radio	is_television Is Television	is_computer Is Computer	is_telephone Is Telephone	is_washing_machine Is Washing Machine	is_refrigerator Is Refrigerator	is_sewing_machine Is Sewing Machine	is_bicycle Is Bicycle	is_scooter Is Scooter	is_car Is Car
165201	376			45	2	8	13	2		100072170	59	2	13	8	2011	10			9	1	1	2	9	1	1		84056	1105	2	1	1	1	1	336	11			1959	52	2	3	3			1979		4		99	3	2	3		1	861	71	nan	1	1	1	1	2		3	2	1	1	1	3	1	2	2	3	2	2	2	2	2	2	2
590947	653	137	12437	34	1	8	31	1	2	100108774	27	2		11	2009			34	3	1	1	1				2	42368	789	2	1	2	1	1	104				1979	30	1	2	5		4	1996		2		11	7	4	4	1	1	827	37	nan	1	3	1	2	1	4			2	2	1	2	2	2	2	3	4	2	2	2	2	2	2
590955	658	142	12564	149	1	8	31	1	2	100108775	78	2		11	2009			60	8	1	2						42622	1043	2	1	1	1	1	356				1979	30	1	1	3		10	1994		3		11	7	4	4		1	959	164	nan	1	3	1	2	2				2	2	1	3	4	2	2	3	4	2	2	2	2	2	2
165193	124			168	1	8	13	2		100071038	106	1	14	9	2011			52		1	1	1					82301	11706	2	2	2	1	1	593		11	8	1963	48	1	3	3	11	5	1975	6	10		99	7	4	4	1	1	3791	186	nan	1	1	1	1	2		2	2	1	1	6	4	1	1	1	3	2	2	1	1	1	1	1
590931	638	155	12179	301	1	8	31	1	2	100108877	217	2	18	12	2009			38	6	1	1	1				2	41614	1794	2	1	1	1	1	1091			8	1963	46	1	3	5		4	1980	2	14	1	11	7	1	4		1	1132	324	nan	1	3	1	3	2				1	1	3	2	4	2	2	3	2	2	2	2	2	2	2
590939	645	162	12344	456	1	8	31	1	2	100108903	319	2		9	2008			1		1	2						42086	2266	1	1	1	1	1	1556				1976	33	1	1	3		4	1986									1	1299	488	nan	1	3	1	3	1	4			1	1	3	1	2	2	2	3	4	2	2	2	2	2	2
165185	13			42	1	8	13	2		100070609	46	1	24	12	2011		9		2	1	1	2			10		80833	936	2	1	2	1	1	236				1976	35	2	3	3			1995	5	3		99	7	4	4	1	1	855	64	nan	1	1	1	1	1	6	3	1	1	1	6	2	1	2	1	3	2	2	2	2	2	2	2
165177	230			125	1	8	13	2		100071520	98	1	29	1	2011	1				1	2			2	3		79779	1281	2	1	1	1	1	579				1954	57	2	3	3	25	5	1976	8	7		99	3	4	4		1	940	148	nan	1	1	1	2	2		6	2	2	6	5	14	1	2	2	3	2	2	2	2	2	2	2
165169	97			270	1	8	13	1	2	100072423	190	2	20	9	2011	10				1	1	1			8		75321	1762	2	1	1	1	1	1017				1949	62	1	3	3			1969	3	1		99	7	4	4		1	1065	303	nan	1	1	1	4	2				2	2	1	2	4	2	2	3	2	2	2	1	2	2	2
590915	624	141	12013	149	1	8	31	1	2	100108911	101	2		1	2007			18	9	3	1	2				2	40992	1172	2	1	1	1	1	483				1982	27	1	3	3		4	1994		3		11	5	2	4		1	949	158	nan	1	2	1	3	2				1	1	3	2	2	2	2	3	2	2	2	2	2	2	2


CREATE TABLE mortality_08_rj (
  "id" BIGINT,
  "m_id" DOUBLE,
  "client_m_id" DOUBLE,
  "hl_id" DOUBLE,
  "house_no" BIGINT,
  "house_hold_no" BIGINT,
  "state" BIGINT,
  "district" BIGINT,
  "rural" BIGINT,
  "stratum_code" BIGINT,
  "psu_id" BIGINT,
  "m_serial_no" DOUBLE,
  "deceased_sex" BIGINT,
  "date_of_death" DOUBLE,
  "month_of_death" BIGINT,
  "year_of_death" BIGINT,
  "age_of_death_below_one_month" DOUBLE,
  "age_of_death_below_eleven_month" DOUBLE,
  "age_of_death_above_one_year" DOUBLE,
  "treatment_source" DOUBLE,
  "place_of_death" DOUBLE,
  "is_death_reg" DOUBLE,
  "is_death_certificate_received" DOUBLE,
  "serial_num_of_infant_mother" DOUBLE,
  "order_of_birth" DOUBLE,
  "death_symptoms" DOUBLE,
  "is_death_associated_with_pregnan" DOUBLE,
  "death_period" DOUBLE,
  "months_of_pregnancy" DOUBLE,
  "factors_contributing_death" DOUBLE,
  "factors_contributing_death_2" DOUBLE,
  "symptoms_of_death" DOUBLE,
  "time_between_onset_of_complicati" DOUBLE,
  "nearest_medical_facility" DOUBLE,
  "m_expall_status" DOUBLE,
  "field38" VARCHAR,
  "hh_id" DOUBLE,
  "client_hh_id" DOUBLE,
  "currently_dead_or_out_migrated" DOUBLE,
  "hh_serial_no" DOUBLE,
  "sex" DOUBLE,
  "usual_residance" DOUBLE,
  "relation_to_head" DOUBLE,
  "member_identity" DOUBLE,
  "father_serial_no" DOUBLE,
  "mother_serial_no" DOUBLE,
  "date_of_birth" DOUBLE,
  "month_of_birth" DOUBLE,
  "year_of_birth" DOUBLE,
  "age" DOUBLE,
  "religion" DOUBLE,
  "social_group_code" DOUBLE,
  "marital_status" DOUBLE,
  "date_of_marriage" DOUBLE,
  "month_of_marriage" DOUBLE,
  "year_of_marriage" DOUBLE,
  "currently_attending_school" DOUBLE,
  "reason_for_not_attending_school" DOUBLE,
  "highest_qualification" DOUBLE,
  "occupation_status" DOUBLE,
  "disability_status" DOUBLE,
  "injury_treatment_type" DOUBLE,
  "illness_type" DOUBLE,
  "symptoms_pertaining_illness" DOUBLE,
  "sought_medical_care" DOUBLE,
  "diagnosed_for" DOUBLE,
  "diagnosis_source" DOUBLE,
  "regular_treatment" DOUBLE,
  "regular_treatment_source" DOUBLE,
  "chew" DOUBLE,
  "smoke" DOUBLE,
  "alcohol" DOUBLE,
  "status" DOUBLE,
  "hh_expall_status" DOUBLE,
  "client_hl_id" DOUBLE,
  "serial_no" DOUBLE,
  "building_no" VARCHAR,
  "house_status" DOUBLE,
  "house_structure" DOUBLE,
  "owner_status" DOUBLE,
  "drinking_water_source" DOUBLE,
  "is_water_filter" DOUBLE,
  "water_filteration" DOUBLE,
  "toilet_used" DOUBLE,
  "is_toilet_shared" DOUBLE,
  "household_have_electricity" DOUBLE,
  "lighting_source" DOUBLE,
  "cooking_fuel" DOUBLE,
  "no_of_dwelling_rooms" DOUBLE,
  "kitchen_availability" DOUBLE,
  "is_radio" DOUBLE,
  "is_television" DOUBLE,
  "is_computer" DOUBLE,
  "is_telephone" DOUBLE,
  "is_washing_machine" DOUBLE,
  "is_refrigerator" DOUBLE,
  "is_sewing_machine" DOUBLE,
  "is_bicycle" DOUBLE,
  "is_scooter" DOUBLE,
  "is_car" DOUBLE
);