Dataset | Glossary

The dataset for Hackathon #1 derives from the UNICEF Nutrition Cluster in Yemen and contains monthly measures of various nutrition indicators. Yemen is one of the few countries with protracted, ongoing food crises for which OCHA publishes routine nutrition monitoring data. Detailed OCHA reports and monthly updates can be viewed here.

The scientific exercises of the hackathon are:

• Develop a timeline of events relevant to team focus and period of the Yemen crisis (2016-present)
• Develop visualizations and summary tables of available and unavailable data in Yemen during the crisis period
• Create a merged dataset with available characteristics
• Perform preliminary quantitative analysis with the data (summary statistics, regression)

To contextualize nutrition outcomes and provide an example of complex data merging, we also present a dataset from Yemen containing data on cholera cases and rates, conflict events and fatalities, rainfall, precipitation, malnutrition scores, and market prices for each governorate. This dataset was compiled by Ryan Simpson, Sofia Babool, and Maia C Tarnas and published in this research article. Published data can be downloaded here.