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Justification Of The Dataset Project

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Discuss about the Justification of The Dataset.


My deliverables

In this group project I have contributed by structuring different parts namely introduction, objectives of the project of my own while for some other parts like justification of the dataset and discussion of the dashboard with my team member Shravan. As this work needs extensive data collection and collating the same to reach the coveted inference, the part of data collection and collating the same for making the dashboard demands team work which I and Shravan had taken care. The graphical presentation of the collected data had been done by us to make the presentation more interesting, informative and eye-catching.   (University, 2017)

My value addition

As this job is assigned to contribute in learning outcome, the learning outcomes will be contributed to my knowledge through group effort. There are two components of LO will be added to my knowledge- Unit Learning Outcome (ULO3) and Graduate Learning outcome (GLO7). This project is based on Watson Analytics Tool which is equipped to find out the learning of the lessons between the lines with the probable prediction of the dangerous elements of the environment through the data set hosen for this consideration. Watson Analytics Tools has the capacity to provide the best possible way to infer with the discussion. I have learnt the basics of this tool and applied the same to contribute in the assignment. My contributory parts of introduction and objectives of this assignment are done on the basis of the collection of data which can direct this assignment towards its coveted destination of inference. Introduction is required to make the reader understand for what purpose this assignment is made and through which tools the justification of input will be justified with the coveted destination of drawing the inference. To make the assignment more focused, the objective of the paper is to be mentioned with the key points of deliverance with subsequent desired level of results to assess the success of the assignment. My contribution towards justification of the dataset is the pillar of this assignment as the same had made foundation of the assignment with my part of contribution to the field of discussion of the created dataset. These parts had contributed to this assignment in order to make the reader understand the grimness of the situation with the effect of different dangerous emissions to affect the air of the world like CO2, Methane etc, and provide the role of alternative energy in the daily human life. (IBM, 2016)


Challenges faced by me

Watson Analytics tool is vast and its proper application is really challenging. This IBM tools to justify the skills of analysis is most modern technique which can derive the worth of the analysis with particular outcome of the project. Moreover the dataset collection is also challenging because we have to consider different dataset for different zone and time frame to collate them for final inference to be drawn.

X Factors

This assignment is made considering different dataset and thus it becomes time taking. Main criterion to consider the dataset is to find the data of three parameters- zone, time and the results derived from this analysis. Hence, committed effort with application of mind was needed to complete this assignment. With our team, the same had been taken care with professional efficiency. (Friedrich Lindenberg, 2015)

Self Learning

This assignment demands critical analysis of dataset gathered through Watson Analytics skill. Through this assignment I am able to learn team work as well as personal expertise on the tool used for analysis. This job is related to environmental pollution and dataset is to be organized for the completion of assignment with positive inference. Main objective of this assignment is to find out the impact of different factors which are doing harm to the environment in the form of emission of different gases along with the implication of alternative energy to replace the conventional energy sources. All these factors are to be considered while preparing for the dataset and collating through the process of Watson Analytics skills. The dashboards are presented for pictorial presentation which can contribute to the assignment with the ready to understand situation for the dataset collected and collated for this assignment. For this assignment everybody of the team had contributed and my personal knowledge grew by learning Watson Analytics system and the skill for collating to this assignment the dataset to form the dashboards. The outcome of Watson Analytics Skills applied to this assignment has produced different images by producing four analytics made for four different properties of the dataset, considered for this assignment. Main factors considered for this purpose are pollution of air, emission of CO2, use of conventional energy of electricity and its access for the zones selected and the provision of non conventional energy to replace conventional energy.

Contribution of my Peers

This group assignment demands contribution of every member-either individually or collectively. For the entire assignment, I have made justification of dataset and discussion of the dashboard with Shravan. As these are the pillars of this assignment, my peers’ contribution is significant to conclude the assignment with proper inference. Puneet had taken charge of preparing Dashboard 4 and benefits of predictive and social analysis of the dataset analysis with conclusion for this assignment.  The teammates had given equal efforts for this assignment with their sincerity, diligence and professionalism as this assignment demands such efforts from the preparers of the project. (Team, 2015)



Friedrich Lindenberg, G.A.S.W., 2015. Dataset-Databases for lazy people. [Online] Available at: [Accessed 14 September 2017].

IBM, 2016. IBM Analytics Communities. [Online] Available at: [Accessed 14 September 2017].

Team, M.E., 2015. Team Effectiveness Assessment. [Online] Available at: [Accessed 14 September 2017].

University, M., 2017. Monash University. [Online] [Accessed 14 September 2017].


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