| Title |
A Comprehensive Analysis for Crime Prediction in Smart City Using R Programming |
| ID_Doc |
41162 |
| Authors |
Garg, R; Malik, A; Raj, G |
| Title |
A Comprehensive Analysis for Crime Prediction in Smart City Using R Programming |
| Year |
2018 |
| Published |
|
| DOI |
|
| Abstract |
With the advancements in the technology, we are stepping forward to the future of Smart Cities. But sill we have a large number of hurdles to achieve that vision. One such problem faced by our society is the large number of crimes happening across cities. So, it is very cardinal that we find solutions to this problem. The aim of this paper is to scrutinize the crimes history in a city and derive insights which would lead to better public safety decisions. In this paper, the crime data of City of Baltimore is used. Firstly, the data collection phase of data analysis followed by a brief introduction to data cleaning is explained in this paper. Then an exploratory analysis is carried out in this paper based on R programming. Tableau is used to generate visualizations from this data. This paper will briefly discuss the process of data analysis and conclude the important insights based on this analysis. |
| Author Keywords |
Tableau; Crime data Analysis; R Programming |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000571162600091 |
| WoS Category |
Computer Science, Information Systems; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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