FrankMuema/data_analysis_using_python

Financial inclusion in Africa # data_analysis_using_python Financial inclusion in East Africa.### This project explores factors influencing women's financial inclusion in East Africa using survey data. The analysis focuses on identifying patterns in savings behavior, income generation, digital financial access, and barriers to economic participation. # Objectives - Analyze women's access to financial services. - Examine the relationship between education and financial inclusion. # Tools and Technologies used. - Python - Pandas - NumPy - Matplotlib - Jupyter Notebook - Git & Github # Dataset The dataset contains demographic and financial information collected fromhouseholds across E.Africa # Workflow + Data cleaning + Removed duplicate records + Handled missing values + Standardized categorical variables + Verified data quality + Exploratory Data Analysis + Distribution of bank account ownership + Income and education trends + Data Visualization + Generated visualization to identify trends and relationship within data # Future Improvements + Build predictive models for financial inclusion. + Develop interactive dashboards using Power BI. + Conduct deeper analysis of regiona; differences.