Abstract
Data visualization is the common term that is used to describe presenting data in a pictorial or graphical format. Data visualization software helps to easily uncover patterns, trends and correlations that might go unnoticed in text-based data. It helps to break down the details of the data and make the data more comprehendible effortlessly. Another emerging field of study is Internet of Things (IoT). IoT deals with the difficulty of diverse device types, various sensors and types of data that gets generated and analysed in real time. An individual managing IoT has neither time nor the patience to decode the information at leisure. Unless the data is comprehendible, taking fast and result-oriented actions is difficult. That is the reason why data visualization becomes fundamental and viable. One of the tasks here is to be able to choose the form of visual depiction that works the best for the information. IBM’s latest contribution to the field of data science brings analytics to your data and not the other way around. They build solutions that accumulate data from any type of source, including web and social. With those generated solutions, one can store, investigate and give an account of information by using analytic engines to drive actionable insights and visualization. In this work, we are making an attempt to communicate, understand and analyse data from societal application as well as enable big data analysis visualization to support real-time data.
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Umadevi, K.S., Geraldine Bessie Amali, D. (2020). Data Visualization and Analysis for Air Quality Monitoring Using IBM Watson IoT Platform. In: Anouncia, S., Gohel, H., Vairamuthu, S. (eds) Data Visualization. Springer, Singapore. https://doi.org/10.1007/978-981-15-2282-6_2
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DOI: https://doi.org/10.1007/978-981-15-2282-6_2
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