This paper analyses Nigerias crime data consisting of eight major crimes reported to the police in 2017. The crimes consist of robbery, theft, house breakings, grievous harm and wounding, murder, rape, and assault. Principal component analysis (PCA) was employed to explain the correlation between the crimes. The result shows a significant correlation between armed robbery, theft and grievous harm and wounding. While Kebbi state has the lowest crime rate, Lagos state has the highest overall crime rate in the state. Theft, house breakings, grievous hurt and wounding, murder, rape is more prevalent in Lagos state, armed robbery in Rivers state, while kidnapping and assault are prevalent in Abia state. The PCA has suggested retaining two components that explain about 85.166 percent of the total variability of the data set and giving the correlation between them the study concludes that some of the crime data can be used to predict each other and an interesting fact that kidnapping is only positively correlated with murder.
Atanu, E. Y. (2019); Analysis of Nigeria's Crime Data: A Principal Component Approach using correlation matrix; International Journal of Scientific and Research Publications (IJSRP)
9(1) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.9.01.2019.p8503