This analysis discusses the trending incidents of Asian hate crime after the outbreak of the covid-19 pandemic. This research uses the text mining method to conduct the analysis. The goal of this paper is to find out if social media does affect human behavior. The data are mainly from Twitter. Specifically, if the Twitter post related to the discrimination toward Asians increases, the hate crime would boost in a specific area. The keywords of finding the hate post might be aggressive and inappropriate. There are five datasets using different keywords in this paper.

In this report, we have looked at the relationship between crime rate with age, population density, poverty, and employment rate. Also, we have looked for the household income, crime rate, and different types of crime method’s relationship and created a map for the crime and crime method.

Final project in the course of data science