Baselight

Earthquake Magnitude, Damage And Impact

Modeling earthquake richter and impacts

@kaggle.arashnic_earthquake_magnitude_damage_and_impact

N, Household Demographics
@kaggle.arashnic_earthquake_magnitude_damage_and_impact.n__household_demographics

  • 6.39 MB
  • 747365 rows
  • 11 columns
household_id

Household Id

district_id

District Id

vdcmun_id

Vdcmun Id

ward_id

Ward Id

gender_household_head

Gender Household Head

age_household_head

Age Household Head

caste_household

Caste Household

education_level_household_head

Education Level Household Head

income_level_household

Income Level Household

size_household

Size Household

is_bank_account_present_in_household

Is Bank Account Present In Household

12010100001101121207120703Male31RaiIlliterateRs. 10 thousand3
12010100002101121207120703Female62RaiIlliterateRs. 10 thousand6
12010100003101121207120703Male51Gharti/BhujelIlliterateRs. 10 thousand13
12010100004101121207120703Male48Gharti/BhujelIlliterateRs. 10 thousand5
12010100005101121207120703Male70Gharti/BhujelIlliterateRs. 10 thousand8
12010100006101121207120703Male52Gharti/BhujelIlliterateRs. 10 thousand6
12010100007101121207120703Male27Gharti/BhujelClass 5Rs. 10-20 thousand5
12010100008101121207120703Male31Gharti/BhujelClass 4Rs. 10 thousand5
12010100009101121207120703Male44Gharti/BhujelIlliterateRs. 10 thousand9
12010100010101121207120703Male34Gharti/BhujelIlliterateRs. 10 thousand6

CREATE TABLE n__household_demographics (
  "household_id" BIGINT,
  "district_id" BIGINT,
  "vdcmun_id" BIGINT,
  "ward_id" BIGINT,
  "gender_household_head" VARCHAR,
  "age_household_head" DOUBLE,
  "caste_household" VARCHAR,
  "education_level_household_head" VARCHAR,
  "income_level_household" VARCHAR,
  "size_household" DOUBLE,
  "is_bank_account_present_in_household" DOUBLE
);

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