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Big Data Analysis: Research Questions, Answers, and Recommendations

   

Added on  2023-06-12

18 Pages2482 Words458 Views
Running head: BIG DATA ANALYSIS
Big Data Analysis
Name of Student:
Name of University:
Course ID:

1BIG DATA ANALYSIS
Table of Contents
Introduction and Background:.........................................................................................................3
Answers of Preliminary Questions:.................................................................................................3
Answer 1......................................................................................................................................3
Answer 2......................................................................................................................................4
Answer 3......................................................................................................................................4
Answer 4......................................................................................................................................5
Answer 5......................................................................................................................................5
Answer 6......................................................................................................................................6
Answer 7......................................................................................................................................6
Answer 8......................................................................................................................................7
Answer 9......................................................................................................................................7
Answer 10....................................................................................................................................8
Answer 11....................................................................................................................................8
Answer 12....................................................................................................................................9
Answer 13..................................................................................................................................10
Answer 14..................................................................................................................................10
Answer 15..................................................................................................................................11
Answer 16..................................................................................................................................11
Answer 17..................................................................................................................................12
Answer 18..................................................................................................................................12
Dashboard Presentation:................................................................................................................13
1. Research Question 1:.............................................................................................................13
2. Research Question 2:.............................................................................................................14
Reporting of Research:..................................................................................................................14

2BIG DATA ANALYSIS
Recommendations:........................................................................................................................15
Reflection:......................................................................................................................................15
Reference List:...............................................................................................................................16

3BIG DATA ANALYSIS
Introduction and Background:
The University of Ballarat accomplished the research report on the basis of “Solar city
project” data. The data for analysis was collected from households and businesses across two
regions such as “Loddon Mallee” and “Grampians” to observe the transformations that arose
because of the consumption of energy. The “IBM Watson Analytic” tool is utilised to analyse the
dataset. The project focuses a number of variables that may impact the energy consumption in
various households of different suburbs of Australia. These variables are partitioned into sets of
features for understanding the measures of corresponding features. The visualizations as well as
data analysis of technology regarding solar energy distillate on three kinds of features that are-
“Geographic characteristics”
“Adoption of solar energy technologies”
“Physical characteristics of the dwellings”
The physical characteristics comprises factors like number of stories, number of bedrooms,
age of dwelling, colour of roof, material used to construct the dwelling, size of the dwellings,
number of different types of lights, suburb of the dwellings and insulation of the housing.
The crucial objective of the research project is to comprehend the significant drivers of
the consumption of power. The cause of it is that significant percentage of electric energy formed
by conventional energy resources such as coal or petroleum produces substantial amount of
noxious gas like Carbon dioxide (CO2) (Miller, 2016). For fulfilling the objective, the analysis
highlights on two research questions.
Answers of Preliminary Questions:
Answer 1.
What is the contribution of power usage over a year by roof colour?

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