# overall introduction
Since I have down the most part of the project, I think it is time to write an overall introduction.
## Introduction
With nowadays’ development of technology and the gradual improvement in laws, people are living in a more and more peaceful society and their living standard is rising as well. However, the crime rate is still one thing that we need to concern about as it shows the extent of the violence in society and the crime would influence people’s safety and living standard directly. So, how many assaults happens in Toronto during 2014–2019? Does it have any relationship with Toronto’s neighborhood? Will a higher auto-theft rate leads to a higher assault rate? In order to discover the answers to these questions regarding Toronto Crime Rate, I conduct a statistical project by using the dataset from the University of Toronto, I am using the data called “Neighborhood Crime Rate”, which includes the 2014–2019 Crime Data by Neighborhood in Toronto. Values are available for Assault, Auto Theft, Break and Enter, Robbery, Theft Over, and Homicide. Data also includes five-year averages and crime rates per 100,000 people by neighborhood based on the 2016 Census Population. I use the dataset from University of Toronto because this dataset contains a variety of crimes and the sample size is really large, which would make my analysis more precise.
One of the most important aspects of this report is that by studying the core questions above, which people can realize the reason behind the increase in crime rate in recent years. After studying the change in Toronto Crime Rate, people will be able to identify the cause of an increasing number of assaults in Toronto: by an increasing amount of related criminal behavior like homicides or just because of a specific neighborhood? And the government could put more effort to deal with those causes so that the crime rate in Toronto would not increase or decrease
My objective is to investigate if there is a positive relationship between the Average Assaults and other criminal behaviors like Average auto theft, Average break and enters, Average homicides, Average robberies and Average thefts over on the Average Assaults. In addition, my another hypothesis is that those criminal behaviors will also positively increase the probability to have a high assault.
Under this report, the audience will be able to recognize the connection between the Average Assaults and the explanatory factors, such as Toronto neighborhood identifier, 2016 Census Population, Average auto thefts, Average break and enters, Average homicides, Average robberies, Average thefts.
