Data analysis of orphanage homes fund distribution in Nigeria

Abstract

Love for humanity is vital in life and with the dire need to cater to the needs of vulnerable children in our society, charity is important. This study analyzed David Adeleke`s donation to orphanages across the states in Nigeria. Data were collated from new media in Nigeria, and it includes states, names of orphanages, the number of children, and funds disbursed in Naira along with the states.   The data were subjected to statistical analysis such as Linear regression, Support Vector Machines (SVM), Generalized Additive Model (GAM), and Hierarchical clustering. Results revealed that 8859 children were domiciled in the orphanages chosen and N221985548 was distributed. The mean number of children and funds disbursed were 30.4 and 762836.9. From the study, Ebonyi, Adamawa, Kogi, Bauchi, and Kano, Taraba had the lowest numbers of orphanages. Results from the inferential statistics revealed normality test using Jarque-Bera test (p-value < 2.2e-16) while the SVM has (p-value < 2.2e-1) and MAE: 50193 RMSE: 149366. The R-squared for SVM is 0.923 and for Linear regression is 0.9449. GAM and Mixed model have R-squared (adjusted) 0.902, 0.944, and Deviance explained 91.5% and 92.9% respectively. The study concluded that although there was a good spread of the funds, some states were not considered for reasons outside the scope of this study. This study, therefore, recommends intensified action on charity by private individuals to cater to the needs of the vulnerable in the society, and databanks such as the list of orphanages used in this study can be used to make policy decisions.