Crime is one of the major problems encountered in a society. Thus, there is an urgent need for security agents and agencies to battle and eradicate crime. Preventive are taken to reduce the increasing number of cases of crime. A huge amount of data set is generated every year on the basis of reporting of crime. This data can prove very useful in analysing and predicting crime and help us prevent the crime to some extent. Crime analysis is an area of vital importance in police department. Study of crime data can help us analyse crime pattern, inter-related clues& important hidden relations between the crimes. That is why data mining can be great aid to analyse, visualize and predict crime using crime data set. We analyse data objects using machine learning techniques. Dataset is classified on the basis of tree based algorithm. In this prediction is done using random forest algoritm according to various types of crimes taking place in different states and cities. Crime mapping will help the administration to plan strategies for prevention of crime, further using Random forest algorithm technique data can be predicted and visualized in various form in order using leaflet and shiny package to provide better understanding of crime patterns
