sylviamutunga/VAW_Climate_Kenya

Exploring drought, food insecurity, and violence against women in Kenya using Python # Exploring the Relationship between Drought,Food Insecurity and Violence Against Women in Kenyan Counties # Project Overview This project examines the relationship between food insecurity (IPC Phase 3+),Drought and violence against women (VAW) across Kenyan counties, with a focus on ASAL (Arid and Semi-Arid Lands) counties. # The analysis explores: Distribution of acute food insecurity (IPC Phase 3+). Association between food insecurity and physical violence. Differences in violence prevalence between ASAL and non-ASAL counties. Whether IPC Phase 3+ should be treated as a continuous or categorical variable. This project aims to contribute to understanding how structural vulnerability may intersect with gender-based violence outcomes.It also demonstrates the application of Python for data cleaning, exploratory analysis, visualization, and basic statistical interpretation in a humanitarian and public health context. # Research Questions How does IPC Phase 3+ prevalence vary across ASAL counties? Is there an association between food insecurity and physical violence? Do ASAL counties experience higher levels of violence compared to non-ASAL counties? Should IPC Phase 3+ be modeled as a continuous indicator? How does recent physical violence against women vary by drought severity? # Data Sources Kenya National Bureau of Statistics (KNBS): Violence Against Women indicators (12-month prevalence) HDX : Integrated Food Security Phase Classification (IPC): Phase 3+ prevalence (ASAL counties) NDMA Kenya : Drought classification data: Normal, Alert, Alarm NDMA Kenya : County ASAL classification All datasets were harmonized at the county level for 2022. # Methods Python: pandas, matplotlib, scipy Data cleaning and encoding of categorical variables Subsetting analysis to ASAL counties where IPC data are defined Exploratory data analysis (EDA) Visualization using Matplotlib (box plots, bar charts, scatter plots, histogram) # Key Findings 1️ Distribution …