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 20 Jh

@kaggle.rajanand_mortality.mortality_20_jh

3.87 MB
59062 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_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	death_symptoms Death Symptoms	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	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	sought_medical_care Sought Medical Care	chew Chew	smoke Smoke	alcohol Alcohol	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	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
241568	118	10	2782	272	1	20	1	1	2	100483051	208	1		8	2008		61	9	1	2		1	10296	1019	2	1	1	1	1	960			1959	50	1	3	3			1976	4	2		11		7	4	4	1	293	294	nan	1	3	1	5	2		2	6	4	9	2	1	1	3	2	2	2	2	2	2	2
241576	123	15	2908	388	1	20	1	1	2	100483041	294	2		4	2008		11	8	1	2		1	10683	1406	2	1	1	1	1	1335			1929	80	1	3	5			1954		3		4	1	5	3	3	1	419	419	nan	1	3	1	3	2		2	6	4	9	2	1	1	3	2	2	2	2	2	2	2
241584	129	1	3119	88	1	20	1	1	2	100483082	121	1	11	12	2008		80	6	1	2		1	11340	424	2	1	1	1	1	416			1969	40	1	1	3	18	2	1985		3		11		5	4	4	1	120	121	nan	1	3	1	3	2		2	2	1	2	2	2	2	3	4	2	2	2	2	2	2
241592	1173	10	3542	382	1	20	1	1	2	100483085	10	1		7	2007	1		10	2	2	15		13013	2097	2	1	1	1	1	2053	19	3	1986	23	1	3	3		2	2006	5	8		11		5	4	2	1	543	544	nan	1	3	1	2	2		2	2	3	2	1	2	2	3	1	2	2	1	1	1	2
241600			3706	267	1	20	1	1	2	100482246		2	3	12	2007		66						13615	1130	2	1	1	1	1	970			1979	30	1	2	3		4	2002	3	3		11		5	4	1	1	400	297	nan	1	3	1	6	1	2	2	2	1	2	2	2	2	3	4	2	2	2	2	2	2
241608			3857	3	1	20	1	1	1	100481334		1			2007		90						13863	8	2	1	1	1	1	6	13	5	1945	64	1	3	3	20	5	1958		2		4	1	5	1	1	1	3	3	nan	1	3	1	6	2		1	2	1	2	2	2	2	3	4	2	2	2	1	2	2
241616	142	3	3935	75	1	20	1	1	1	100481488	73	1	14	8	2008		60	9	1	2		1	14195	340	2	1	1	1	1	325	16	6	1986	23	1	3	3	23	5	2005	4	4		11		3	4	4	1	83	81	nan	1	3	1	3	1	1	2	2	1	2	2	2	2	3	2	2	2	1	2	2	2
241624	146	7	4256	376	1	20	1	1	1	100481372	407	1		10	2009		70	8	1	3		1	15378	1527	2	1	1	1	1	1452	25	6	1955	54	1	1	3	10	6	1969	3	3	5	11		3	2	4	1	404	399	nan	1	3	1	6	1	1	2	2	1	3	2	2	2	3	2	2	2	2	1	2	2
241632	154	13	4488	123	1	20	1	1	2	100481937	126	1	20	2	2009		2	6	1	2		1	16048	798	2	1	1	1	1	295			1939	70	1	3	3			1960		2		11		7	4	4	1	231	126	nan	1	3	1	6	2		1	2	1	2	2	2	2	3	4	2	2	2	2	2	2
241640	162	7	4644	26	1	20	1	1	1	100481291	39	2	1	2	2008		65	9	3	2		1	16637	193	2	1	1	1	1	183			1949	60	1	1	5			1964	4	16		11		7	4	4	1	42	42	nan	1	2	1	3	2		1	2	3	3	2	1	2	3	4	2	2	2	2	2	2


CREATE TABLE mortality_20_jh (
  "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" BIGINT,
  "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
);