Is the violent crimes rate in Maryland increasing, decreasing, or staying the same? In this project, you will find out. First, you will wrangle the raw data supplied by the State of Maryland. Second, you will analyze the data using a hierarchical regression to examine both the statewide crime rate and crime rate for each Maryland county. Third, you will plot the changes in crime rates for each county.
This project requires both R and statistical skills. For R, this includes proficiency with the Tidyverse,
ggplot2. These skills are taught in DataCamp courses Introduction to the Tidyverse,
and Introduction to Data Visualization with ggplot2.
For statistics, this includes Multiple and Logistic Regression and
Hierarchical and Mixed Effects Models.
You will use the crime statistics from the State of Maryland from 1975 to 2016. The Maryland Statistical Analysis Center provides this and updates data.
Richard helps people to experience and understand their increasingly numerical world. For his day job he develops new quantitative methods for monitoring and controlling invasive species as well as helping other scientists analyze and understand their data. He has worked on diverse datasets ranging from continent wide species distributions to pesticides in playa wetlands. After hours, he teaches SCUBA Diving as a NAUI Instructor. He has been a member of "UserR" since 2007.See More