Data Science in Area and Population

Abstract

The distribution and composition of populations vary geographically, which has an impact on corporate development, government changes, urban development, and other areas. Even though these kinds of statistics are widely applicable and significant, it can be difficult to obtain local census estimates in a timely and accurate manner due to the dynamic nature of population counts, their political content, and logistical and administrative difficulties. Given these difficulties, the main goal is to use data science approaches to close the knowledge gap between the dynamic demographic picture and wise decision making