Stunting Data Visualization

Website about stunting

Goal: To create a website that provides a comprehensive and informative overview of stunting, a serious public health problem that affects millions of children worldwide. The website will use data visualization to help users understand the causes, consequences, and distribution of stunting, as well as the latest research on prevention and treatment.

Target audience: Anyone who is interested in learning more about stunting, including public health professionals, policymakers, researchers, educators, and parents.

Technical details: The website will be built using Python and Streamlit.

Dataset: The website will use a dataset from Kaggle that contains international data on stunting.

Data visualization: The website will use Streamlit to create a variety of data visualizations to help users understand the data. Some possible data visualizations include:

Contents:

• Information further about stunting
• Bar charts and line charts to show the prevalence of stunting over time and across different countries
• Insight from the data visualization

Timeline: Created within 1 day

Challenges: One of the challenges is that the developers are new to web development. However, they are confident that they can learn Streamlit and create a website with the help of the documentation and their upperclassmen.

Conclusion: The website about stunting will be a valuable resource for anyone who is interested in learning more about this important public health issue. By using data visualization to present the data in a clear and concise way, the website will help users to understand the causes, consequences, and distribution of stunting, as well as the latest research on prevention and treatment.

Built With

• python
• streamlit