Chicago crimes. Part 6

Chicago crimes. Part 6 Alexander Levakov, Senior Research Fellow, Ph.D February, 2017

Contents Introduction

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Research goal

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Data

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Preparing data

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Types of crime THEFT . . . BATTERY . NARCOTICS ASSAULT . . BURGLARY HOMICIDE .

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Conclusions

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Introduction In the previous topics on crimes in Chicago we have explored dataset from gov.data and applied Pareto principle to select the most relevant types and locations of crimes in Chicago for estimation the difference in types of crimes and locations versus day of the week and month as wel as latitude and longitude. See https://rpubs.com/alex-lev/248923, https://rpubs.com/alex-lev/249124, https://rpubs.com/alex-lev/ 249354, https://rpubs.com/alex-lev/249370, https://rpubs.com/alex-lev/249747.

Research goal Now we want to estimate criminal vilolence level in Chicago by the crime longitude and latitude during daytime and nighttime.

Data For more about Chicago criminal data see https://catalog.data.gov/dataset/crimes-2001-to-present-398a4. library(dplyr) ## ## Attaching package: 'dplyr'

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## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal, union library(tidyr) library(ggplot2)

chicago_crime