Chapter 1 Introduction

This is a Little Book on Data Visualization , Maps and Time series Forecasts on the Kaggle Dataset Crime in LA.

We do Exploratory Data analysis on various topics such as the Month of Crime ,Day of Crime,Time of Crime. We also explore how the Crimes are related to the Sex and Age of the Victims, Crime Types, Crime Types of persons aged 70 and above. We explore on the Crimes at different Premises,Types of Crimes at different Premises,victim Descent Analysis and an analysis of Weapons used in Crime.

We explore the various Maps where the Crime has occurred.

We do Time series forecasting for the most commonly occurring crime type Simple Assault using different Time Series forecasting techniques such as Arima, ETS and Prophet.

We also determine Crime Code of the crimes based on different parameters of the Crime. We use the very popular XGBoost algorithm to determine the Crime code.

1.1 Live version

If you wish to have a peek of the end result, you can view this in LA Crime Report