(Group) Yiyang Shi & Lingjie Wang
Crime Statistics Project Description:
Presentation
https://public.tableau.com/profile/lingjie.wang#!/vizhome/541CrimeStatistics/Story1
What you want to do
We want to explore the crime rate in the U.S. and use data visualization tools to display the information to the audience. Because of the limitation of the data, we will be mainly showing audience some exploratory analysis on the crime rate. Especially, we want to show crime rate against location on a map. We want to explore the relationship between crime rate and population. We also want to explore if there are correlations among different type of crimes.
Why it is interesting to you
Crime mapping is a key component of crime analysis and allows analysts to identify crime hot spots along with other trends and patterns. Through such analysis, we may have a better understanding of the potential correlation between locations and crimes, which may be useful for helping law enforcement administrators to devise strategies to deal with crimes by states. Also, understanding the relationship between different crimes may be helpful.
Scope of project
Crime vs Location
Show total crime by state and city
Show & compare percentage of each crime type by state
Compare each state’s crime rate with national average
Show reclassified crime distribution according to felony/misdemeanor distinction
Crime vs Population
Show crime vs. population for map location
Explore the relationship between population and crime by year
Crime vs Crime
Explore the relationship among different crimes.
Assignment of duties to project team
Expected deliverable
Maps showing basic information on crime
Barcharts showing the difference of crime among states
Scatterplots showing the relationship between crime and population
Think about
time occurences over time of day (when to crimes happen?).
historical: crime occurences over decades of time.
- I have neither given nor received aid while working on this assignment. I have completed the graded portion BEFORE looking at anyone else's work on this assignment. Yiyang Shi. Lingjie Wang -