Crime Data Analysis using Big Data Analytics and Visualization using Tableau

The government is having a difficult time making strategic decisions by adhering to the law and order because of the significant increase in crime data now-a-days. Big data has become popular trend to efficiently organize data. Big data analytics have become popular as a brand new, crucial area of study for both academics and industry professionals, illustrating the enormous demand for answers to business issues in a data-driven, knowledge-based economy. The amount of information found during criminal investigations has greatly grown. More than ever, investigators must deal with enormous amounts of heterogeneous data, a wide variety of data formats, and growing complexity in dispersed stored information. Understanding and analyzing newly developing criminal activity patterns is necessary to lower crime rates. Big Data presents a problem for criminal investigators, but it can also aid in their ability to identify patterns and source information to avert and solve crimes. Due to the fact that data mining is the best field to use for applying to huge volume crime datasets, knowledge discovered through data mining techniques will be helpful and support police forces. As a result, the rapid miner tool is used in this study's criminal analysis to execute k-means clustering on the crime dataset.