Chicago crimes. Part 8

Chicago crimes. Part 8 Alexander Levakov, Senior Research Fellow, Ph.D February, 2017

Contents Research goal

1

Data

1

Preparing data

1

Agregating and arranging data

2

Violence proccess control

2

Student test Frequentist case . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Bayesian case . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

4 4 6

Conclusions

9

Research goal We want to estimate criminal violence level in Chicago using open data that is too really big for primitive handy calculations.

Data We use dataset “Crimes - 2001 to present” from data.gov. This dataset reflects reported incidents of crime that occurred in the City of Chicago from 2001 to present. Data is extracted from the Chicago Police Department’s CLEAR (Citizen Law Enforcement Analysis and Reporting) system. For more about Chicago criminal data see https://catalog.data.gov/dataset/crimes-2001-to-present-398a4. The previous parts of the current research see here https://rpubs.com/alex-lev.

Preparing data We omit reading file with data and converting character strings to numbers as the time consuming routine process #chicago_crime