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 05 Ut

@kaggle.rajanand_mortality.mortality_05_ut

3.91 MB
53503 rows
122 columns
Only the first 100 columns are shown

id Id	m_id 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_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	is_death_associated_with_pregnan Is Death Associated With Pregnan	m_expall_status M Expall Status	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	father_serial_no Father 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	illness_type Illness Type	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
165767	10		132	1	5	9	1	1	100045042	5	2	9	11	2011	52		1	2				87491																														nan
167609	4		111	1	5	2	1	1	100029616	3	1	6	9	2011	67		1	3				14219	12506	2	2	1	1	1	292	1	10	10	1983	28	1	2	3	19	2	2004	4	1		99	3	4	2		1	6086	117	nan	1	1	1	1	1	1	5	2	1	1	1	2	1	1	1	3	2	2	2	2	2	2	2
530767	954	25345	19	1	5	1	2		100000556	3	1	22	3	2009	80	6	1	3			1	72847		2	1	1	1	1	79		24	7	1964	45	1	3	3	8	12	1994	8	4		11	7	4	2		1		36	0	1	1	2	1	2		2	2	1	1	6	2	2	1	1	3	2	2	2	2	2	2	2
530775	962	25535	72	6	5	1	2		100001227	5	2	23	11	2009	56	6	1	2			1	73439		2	1	2	1	1	315				1959	50	1	3	5			1972	4	10	9	11	7	4	4		1		214	0	1	1	2	1	1	1	1	2	1	1	6	2	1	2	1	3	2	2	1	2	2	2	2
167601	26		248	2	5	2	1	1	100031685	6	1	17	4	2011	38	6	3	1	1			12625	19961	2	2	2	1	1	1104		2	7	1975	36	1	3	5	19	10	1999	4	10		99	7	4	4	1	1	7536	445	nan	1	1	1	6	2				1	1	1	1	1	2	2	3	2	2	2	2	2	2	2
167593	7		77	1	5	2	1	1	100032547	6	2	10	10	2011	75		1	1	2			17314																														nan
167585	12		114	1	5	2	1	1	100030951	5	2	6	7	2011	39		1	1	2	2		9651																														nan
530751	938	25094	339	1	5	1	2		100000508	17	2	13	8	2009	30		1	1	1	2		72012		2	1	1	1	1	2040				1954	55	1	3	3			1973	3	4		11	7	4	4		1		588	0	1	1	1	1	1	5	2	2	1	1	6	3	1	1	1	3	2	1	1	1	1	1	2
530759	946	25218	413	1	5	1	2		100000509	25	1	31	12	2009	68	6	1	1	2			72455		2	1	1	1	1	2479				1954	55	1	3	5			1971		13		11	7	4	4		1		713	0	1	1	1	1	1	5	2	2	1	1	6	2	1	1	1	3	2	2	1	1	2	2	2
167577	8		214	1	5	2	1	1	100030100	3	2	12	6	2011	90		1	2				8445	28886	2	1	1	1	1	505		17	9	1947	64	1	3	3	12	9	1970	4	1		99	3	2	2		1	10275	229	nan	1	1	1	1	2		5	2	1	1	6	5	1	2	1	3	2	2	2	1	2	1	1


CREATE TABLE mortality_05_ut (
  "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" DOUBLE,
  "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
);