Implementation Of K-Mean To Analyse Crime in US

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## # K-Means Clustering - U.S. Crime Data

We'll use k-means to discover clusters in a data set using unsupervised learning. The original data can be found here  
[https://ufile.io/39bbkph1](https://ufile.io/39bbkph1)  

From the Unified Crime Reporting Statistics and under the collaboration of the U.S. Department of Justice and the Federal Bureau of Investigation information crime statistics are available for public review. The following data set has information on the crime rates and totals for states across the United States for a wide range of years. The crime reports are divided into two main categories: property and violent crime. Property crime refers to burglary, larceny, and motor related crime while violent crime refers to assault, murder, rape, and robbery. These reports go from 1960 to 2012.
  
The analysis consists of the following steps.

-   I. Importing necessary libraries and downloading the data
-   II. Viewing the data statewise from different angles
-   III. Finding out the optimal number of clusters for the data
-   IV. Presenting findings and drawing conclusions

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