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crime-analysis

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This was the final product of my masters degree capstone project. It is an R Shiny application showcasing an analysis of KCPD Crime Databetween 2016 and 2019. In the project I used a Poisson distribution to forecast hotsposts of crime around Kansas City using crime data, and census data from the U. S. Census Bureau.

  • Updated Mar 19, 2021
  • R

Detecting the key reason for crime(manslaughter) happened in 30 years. There's a lot of aspect present in the data published by US government. The data and the finding can be used in any country prospect,if not all but handy few.

  • Updated Aug 4, 2020
  • Jupyter Notebook

Analyzing US crime statistics using hierarchical clustering to uncover patterns in state-level arrest data and Advanced analytics to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling.

  • Updated Apr 15, 2024

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