Name: Malnutrition Across The Globe
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Malnutrition Across The Globe

Context

Malnutrition continues to be the reason for making children much more vulnerable to diseases and death.
There are 4 broad types of malnutrition: wasting, stunting, underweight and overweight.

Content

Severe Wasting - % of children aged 0–59 months who are below minus three standard deviations from median weight-for-height
Wasting – Moderate and severe: % of children aged 0–59 months who are below minus two standard deviations from median weight-for-height
Overweight – Moderate and severe: % aged 0-59 months who are above two standard deviations from median weight-for-height
Stunting – Moderate and severe: % of children aged 0–59 months who are below minus two standard deviations from median height-for-age
Underweight – Moderate and severe: % of children aged 0–59 months who are below minus two standard deviations from median weight-for-age

Inspiration

Was there a decline or rise in the number of malnutrition cases country-wise?
Which countries bear the greatest share of all forms of malnutrition?
% of stunted, overweight and wasted children under 5, by country income classification

Data Visualization on Tableau

Tables

Country Wise Average

@kaggle.ruchi798_malnutrition_across_the_globe.country_wise_average

14.45 kB
152 rows
8 columns

CREATE TABLE country_wise_average (
  "country" VARCHAR,
  "income_classification" DOUBLE,
  "severe_wasting" DOUBLE,
  "wasting" DOUBLE,
  "overweight" DOUBLE,
  "stunting" DOUBLE,
  "underweight" DOUBLE,
  "u5_population_000s" DOUBLE  -- U5 Population (\u0027000s)
);

Malnutrition Estimates

@kaggle.ruchi798_malnutrition_across_the_globe.malnutrition_estimates

124.43 kB
924 rows
20 columns

CREATE TABLE malnutrition_estimates (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "iso_code" VARCHAR,
  "country" VARCHAR,
  "survey_year" VARCHAR,
  "year" BIGINT,
  "income_classification" BIGINT,
  "ldc" DOUBLE,
  "lifd" DOUBLE,
  "lldc_or_sid2" DOUBLE,
  "survey_sample_n" VARCHAR  -- Survey Sample (N),
  "severe_wasting" DOUBLE,
  "wasting" DOUBLE,
  "overweight" DOUBLE,
  "stunting" DOUBLE,
  "underweight" DOUBLE,
  "notes" VARCHAR,
  "report_author" VARCHAR,
  "source" VARCHAR,
  "short_source" VARCHAR,
  "u5_population_000s" DOUBLE  -- U5 Population (\u0027000s)
);