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  • https://stats.libretexts.org/Bookshelves/Applied_Statistics/Basic_Statistics_Using_R_for_Crime_Analysis_(Choi)/01%3A_Chapters/1.02%3A_Introduction_to_Data_Formations_and_Graphics
    This chapter focuses on transforming survey data from the 2012 General Social Survey (GSS) and visualizing it using the R programming language. The survey targets the American population's attitudes t...This chapter focuses on transforming survey data from the 2012 General Social Survey (GSS) and visualizing it using the R programming language. The survey targets the American population's attitudes towards police use of force. The chapter explains how to import the data using the haven package, transform categorical variables correctly, and employ the dplyr package for data manipulation. Additionally, it introduces the ggplot2 package for creating graphical representations of the data.
  • https://stats.libretexts.org/Bookshelves/Applied_Statistics/Basic_Statistics_Using_R_for_Crime_Analysis_(Choi)/01%3A_Chapters/1.03%3A_Creating_a_New_Variable_and_Producing_Summary_Statistics
    This chapter focuses on creating new variables and producing summary statistics using the 2018 Part 1 crime data from Pennsylvania's Uniform Crime Report. It explains the distinction between Part 1 (s...This chapter focuses on creating new variables and producing summary statistics using the 2018 Part 1 crime data from Pennsylvania's Uniform Crime Report. It explains the distinction between Part 1 (serious) and Part 2 (less serious) crimes and the limitations of the UCR due to underreporting. The chapter guides how to manipulate data in R, including renaming variables, calculating crime rates, and categorizing cities by population.
  • https://stats.libretexts.org/Bookshelves/Applied_Statistics/Basic_Statistics_Using_R_for_Crime_Analysis_(Choi)/01%3A_Chapters/1.04%3A_Central_Tendency_and_Variability
    The page explains the concepts of central tendency and variability, key statistical measures that summarize and describe datasets. Central tendency includes mean, median, and mode, while variability i...The page explains the concepts of central tendency and variability, key statistical measures that summarize and describe datasets. Central tendency includes mean, median, and mode, while variability includes variance and standard deviation. The page also provides a guide on using R to compute these measures using the Gapminder dataset, showcasing steps to load and manipulate the data, and calculate these statistics.
  • https://stats.libretexts.org/Bookshelves/Applied_Statistics/Basic_Statistics_Using_R_for_Crime_Analysis_(Choi)/01%3A_Chapters/1.05%3A_Reliability_of_a_Scale
    The discussion focuses on the concepts of reliability and validity within criminal justice research, emphasizing the importance of consistent and accurate measurement of abstract social constructs lik...The discussion focuses on the concepts of reliability and validity within criminal justice research, emphasizing the importance of consistent and accurate measurement of abstract social constructs like societal disadvantage. Reliability refers to consistency in measurements, while validity concerns the accuracy of these measures. The chapter uses the National Crime Victimization Survey (NCVS) as a case study.
  • https://stats.libretexts.org/Bookshelves/Applied_Statistics/Basic_Statistics_Using_R_for_Crime_Analysis_(Choi)/01%3A_Chapters/1.01%3A_Introduction_to_Crime_Data_Analysis_R_and_RStudio
    Data analysis in the criminal justice system extends beyond policing, playing a crucial role in investigations, prevention strategies, and broader public safety initiatives. Crime analysts support law...Data analysis in the criminal justice system extends beyond policing, playing a crucial role in investigations, prevention strategies, and broader public safety initiatives. Crime analysts support law enforcement by uncovering trends, aiding investigations, and optimizing resource allocation. They also contribute to correctional settings and court proceedings by identifying security risks and assessing rehabilitation programs' effectiveness.

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