Data Immersion Advanced Analytics & Dashboard Design
Data analytics on Levels and trends on global child malnutrition
Objective
To build an interactive dashboard that will visually showcase well-curated results of an advanced exploratory analysis conducted in Python.
Project steps
Sourcing Open Data
Exploring Relationships
Geographical Visualizations with Python
Supervised Machine Learning: Regression
Unsupervised Machine Learning: Clustering
Sourcing & Analyzing Time Series Data
Creating Data Dashboards
Sourcing Open Data: Analysis
The JME includes estimates of prevalence and numbers affected for stunting, overweight, wasting and severe wasting among children under five years of age at country, regional and global levels. Global, regional and country annual trends from 2000-2022 are available for stunting and overweight. The objective is to build an interactive dashboard that will visually showcase well-curated results of an advanced exploratory analysis conducted in Python to measure nutritional imbalance such as undernutrition (assessed from stunting, wasting and underweight) or overweight.
Dataset:
Why the analysis
Every child has the right to good nutrition. Well-nourished children grow and develop to their full potential. They are better equipped to lead healthy lives, to be free from poverty, to learn and participate, and to continue thriving across the life course, with benefits that continue over generations. The past decade has seen essential gains in improving maternal and child nutrition, including a one-third decline in children suffering from stunting. Yet the triple burden of malnutrition – stunting, wasting and overweight – continues to jeopardize children’s ability to survive and thrive.
​
All forms of malnutrition are preventable. To stop malnutrition before it starts, children and their families need access to nutritious diets, essential services and positive practices to set them on the path to survival and thrive. But today, these vital pathways to good nutrition are under growing threat as many countries plunge deep into a global food and nutrition crisis fuelled by poverty, conflict, climate change and the enduring secondary effects of the COVID-19 pandemic. As the world responds to the crisis, urgent action is critical to protect maternal and child nutrition – especially in the most affected regions – and secure a future where the right to nutrition is a reality for every child.
Key Questions and Objectives
Number of deaths
Identify the number of deaths those affected due to malnutrition– stunting, wasting and overweight under age 5.
Global statistics
Which countries are affected most by child nutrition(stunting, overweight, wasting and severe wasting)?
Variation in global data
Does progress to reduce stunting have equal across regions and sub-regions?
Income Vs Malnutrition
Find the trend in country's income and malnutrition growth.
Malnutrition growth
SDG target by 2030, end all forms of malnutrition, including achieving, by 2025, the internationally agreed targets on stunting and wasting in children under 5 years of age. Will this target achievable by the trends in dataset?