The emergence of Data analysis and Internet of Things (IOT) has now established a foundation for representing and storing data from domains ranging from smart devices to smart cities. The data collected using sensor from IOT has been made available to the public and has helped a huge number of consumers of data to utilize such data sets for several applications starting from scientific experimentation and modulation to improving commercial activity forbusinesses.Following this has resulted in the requirement for the developing data analysis tools that ease the use for customers and allocating the most constructive tools for a problemstatement.To this end, we attempt to introduce data analysis tool as a web service, which empowers the consumer to make a simple HTTP request for processing data over the internet. Hence, by developing such tools as a web service, we signify the prospective of such a system to support both the progressive and beginner level of data consumer. Further, this work provides an example of the suggested tool on data available publicly, extracted from the day to day trafficdata.Data analysis has reformed the collection of data from day to day real life activities, hence validating a bunch of new web technologies introduced to as smart objects toappear.These objects can be utilized to improve consumer’s experience when initiating an interaction with a service. Certainly, a fixed example of huge IoT systems with authorization to enormous quantities of budding usefulData for data consumers is smart cities with traffic analysis.

{"references": ["S. De, T. Elsaleh, P. Barnaghi, and S. Meissner, \"An internet of things platformfor real-world and digital objects,\" Scalable Computing: Practice and Experience, vol.13, no. 1, pp. 45\u201348, 2012.16 p", "B. Firner, R. S. Moore, R. Howard, R. P. Martin, and Y. Zhang, \"Poster: Smart buildings, sensor networks, and the internet of things,\" Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems, pp. 337\u2013338, 2011", "ICity Consortium. (2014, June). [Online]. Available: h ttp://www.icityproject.eu/", "B. Cheng, S. Longo, F. Cirillo, M. Bauer, and E. Kovacs, \"Building a big data platform for smart cities: Experience and lessons from santander,\" 2015 IEEE International Congress on Big Data, pp. 592\u2013599, 2015", "D. Puiu, P. Barnaghi, R. Tones', D. K \u00a8 umper, M. I. \u00a8 Ali, A. Mileo, J. X. Parreira, M. Fischer, S. Kolozali, N. Farajidavar, F. Gao,T. Iggena, T. L. Pham, C. S.Nechifor, D. Puschmann, and J. Fernandes, \"Citypulse:Large scale data analytics framework for smart cities,\" IEEE Access, vol. 4, pp. 1086\u20131108, 2016"]}