Factors Affecting Children Anemia Level
This is a cross-sectional data from the 2018 Nigeria DHS
@kaggle.adeolaadesina_factors_affecting_children_anemia_level
Children Anemia
@kaggle.adeolaadesina_factors_affecting_children_anemia_level.children_anemia
- 184.22 KB
- 33924 rows
- 17 columns
age_in_5_year_groupsAge In 5-year Groups | type_of_place_of_residenceType Of Place Of Residence | highest_educational_levelHighest Educational Level | wealth_index_combinedWealth Index Combined | births_in_last_five_yearsBirths In Last Five Years | age_of_respondent_at_1st_birthAge Of Respondent At 1st Birth | hemoglobin_level_adjusted_for_altitude_and_smoking_g_d_37650bf8Hemoglobin Level Adjusted For Altitude And Smoking (g/dl - 1 Decimal) | anemia_levelAnemia Level | have_mosquito_bed_net_for_sleeping_from_household_ques_5d1d1c5bHave Mosquito Bed Net For Sleeping (from Household Questionnaire) | smokes_cigarettesSmokes Cigarettes | current_marital_statusCurrent Marital Status | currently_residing_with_husband_partnerCurrently Residing With Husband/partner | when_child_put_to_breastWhen Child Put To Breast | had_fever_in_last_two_weeksHad Fever In Last Two Weeks | hemoglobin_level_adjusted_for_altitude_g_dl_1_decimalHemoglobin Level Adjusted For Altitude (g/dl - 1 Decimal) | anemia_level_1Anemia Level.1 | taking_iron_pills_sprinkles_or_syrupTaking Iron Pills, Sprinkles Or Syrup |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 40-44 | Urban | Higher | Richest | 1 | 22 | nan | Yes | No | Living with partner | Staying elsewhere | Immediately | No | nan | Yes | ||
| 35-39 | Urban | Higher | Richest | 1 | 28 | nan | Yes | No | Married | Living with her | Hours: 1 | No | nan | No | ||
| 25-29 | Urban | Higher | Richest | 1 | 26 | nan | No | No | Married | Living with her | Immediately | No | nan | No | ||
| 25-29 | Urban | Secondary | Richest | 1 | 25 | 95 | Moderate | Yes | No | Married | Living with her | 105.0 | No | 114 | Not anemic | No |
| 20-24 | Urban | Secondary | Richest | 1 | 21 | nan | Yes | No | No longer living together/separated | nan | Immediately | No | nan | No | ||
| 30-34 | Urban | Higher | Richest | 1 | 30 | 113 | Mild | Yes | No | Married | Living with her | nan | No | 119 | Not anemic | No |
| 35-39 | Urban | Secondary | Richest | 2 | 32 | 121 | Not anemic | Yes | No | Married | Living with her | Immediately | No | 102 | Mild | Yes |
| 35-39 | Urban | Secondary | Richest | 2 | 32 | 121 | Not anemic | Yes | No | Married | Living with her | nan | nan | nan | nan | |
| 30-34 | Urban | Secondary | Richest | 1 | 32 | nan | Yes | No | Married | Living with her | Immediately | No | nan | No | ||
| 20-24 | Urban | Secondary | Richest | 1 | 19 | 108 | Moderate | Yes | No | Married | Living with her | Immediately | No | 113 | Not anemic | Yes |
CREATE TABLE children_anemia (
"age_in_5_year_groups" VARCHAR,
"type_of_place_of_residence" VARCHAR,
"highest_educational_level" VARCHAR,
"wealth_index_combined" VARCHAR,
"births_in_last_five_years" BIGINT,
"age_of_respondent_at_1st_birth" BIGINT,
"hemoglobin_level_adjusted_for_altitude_and_smoking_g_d_37650bf8" DOUBLE,
"anemia_level" VARCHAR,
"have_mosquito_bed_net_for_sleeping_from_household_ques_5d1d1c5b" VARCHAR,
"smokes_cigarettes" VARCHAR,
"current_marital_status" VARCHAR,
"currently_residing_with_husband_partner" VARCHAR,
"when_child_put_to_breast" VARCHAR,
"had_fever_in_last_two_weeks" VARCHAR,
"hemoglobin_level_adjusted_for_altitude_g_dl_1_decimal" DOUBLE,
"anemia_level_1" VARCHAR,
"taking_iron_pills_sprinkles_or_syrup" VARCHAR
);