Chicago crimes. Part 2

May 24, 2017 | Autor: Alexander Levakov | Categoria: Social Sciences, Applied Statistics, Big Data Analytics
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Chicago crimes. Part 2 Alexander Levakov, Senior Research Fellow, Ph.D February, 2017

Contents Introduction

1

Research goal

1

Data

1

Preparing data

2

Contigency tables

3

Chi-squared test

5

Graphical interpretation

7

Conclusions

15

Introduction In the previous topic 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. See https://rpubs.com/alex-lev/248923.

Research goal Now we want to estimate criminal vilolence level in Chicago by comparing statistics for days of the week and months.

Data For more about Chicago criminal data see https://catalog.data.gov/dataset/crimes-2001-to-present-398a4.

chicago_crime
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