Finally, we can state that the growing adoption of the MIoT in recent years has brought enormous benefits to both medical organizations and their patientsД®ducational digital storytelling is widely recognised as a powerful approach in developing literary skills, experience problem-solving and computational thinking, information and knowledge visualisation, build creativity and divergent thinking supported by technological solutions. We examine present security and privacy challenges, as well as security and privacy needs connected to data flow in the MIoT, as well as technical shortcomings and research issues for future work, in this paper. The security and privacy of data acquired from MIoT devices, either while transmission to the cloud or while kept in the cloud, are key unsolved challenges, as this data is heavy, sensitive, and require a high level of security. The key problem in the MIoT area is to protect the confidentiality and privacy of patients without compromising security. Healthcare services, particularly because they manage sensitive patient information such as names, health records, addresses, and health problems. MIoT applications are intimately linked to sensitive The Medical Internet of Things (MIoT), often known as healthcare IoT, is a network of medical devices and applications. The Medical Internet of Things (MIoT) is a new technology that aims to improve patient quality of life by allowing individualized e-health services irrespective of time or place. Medical Internet of Things (MIoT) provides machine-to-machine contact and real-time intervention solutions, which in the near future will drastically revolutionize healthcare delivery, affordability, and reliability. Healthcare system is rapidly transitioning from a traditional health-center and specialist-focused model to a more scattered, patient-centric model. This study provides another perspective to assist stakeholders in improving environmental decision making. However, the strength of this relationship may also be related to other factors, such as geography, politics, population density, and measures imposed by local authorities, etc. The results show that a potential connection does exist in most cases and provide more evidence showing that air pollution declined during the pandemic. Data were collected from five cities-Wuhan, New York, Seoul, Melbourne, and Singapore-to further analyse the response of air quality index to COVID events, thus revealing how human activity influences air quality from a pandemic perspective. Three types of data were collected, namely air quality index, pandemic-related events, and number of COVID cases. In order to analyse the potential relationship between pandemic-related information and air quality data from a more holistic and detailed point of view, we propose a methodology based on pure data analysis. Some research has analysed the effects of the pandemic on air quality however, very few studies have employed relationship analytics. In the end, this paper gives the clear picture of growing COVID-19(Coronavirus) data and the tools which can help more effectively, accurately and efficiently.Д¬OVID-19 is the latest of many pandemic affecting the world in the past few decades, and it has had a significant impact on the global environment. Its features include data blending, real-time reporting and collaboration of data. The Tableau are the tools which deals with the big data analytics also it generates the output in visualization technique i.e., more understandable and presentable. In this paper comprehensive review about Tableau. COVID-19(Coronavirus) analytics with Tableau, you will create dashboards that help you identify the story within our data, and we will better understand the impact of COVID-19 (Coronavirus).

Tableau supports a wide array of data sources. You can build beautiful visualizations easily and in a short amount of time.

It has an easy to use drag and drop interface. In this scenario tableau play the vital role, because Tableau is an extremely powerful tool for visualizing massive sets of data very easily. Unfortunately in the midst of a global pandemic, when people throughout the world are looking for reliable, trustworthy information about COVID-19(Coronavirus). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems. In 2020 the world has generating 52 times the amount of data as in 2010, and 76 times the number of information sources.

Tableau reader 9.2