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SIT718 Real World Analytics

This assignment will test your knowledge and understanding of the aggregation functions and their applications for data summarization and prediction. This assignment will also test your ability in R programming, in using specific R commands as well as R packages.

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Added on  2023-01-05

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This document discusses the importance of variables and linear regression modeling in real world analytics. It explores the correlations and distributions of different variables related to energy use of appliances. The document also introduces the concepts of QAM, OWA, and Choquet integral fitting functions and their parameters. Additionally, it provides insights on using the models for prediction and compares the results with linear regression modeling. The document concludes with a discussion on the significance of the predictors and the overall fit of the models.

SIT718 Real World Analytics

This assignment will test your knowledge and understanding of the aggregation functions and their applications for data summarization and prediction. This assignment will also test your ability in R programming, in using specific R commands as well as R packages.

   Added on 2023-01-05

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SIT718 Real World Analytics
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SIT718 Real World Analytics_1
Assignment Task
1. Data Understanding
(i) “Energy19.txt” downloaded and added to the R working directory.
(ii) Data assigned to matrix using the command:
the.data <- as.matrix(read.table("Energy19.txt "))
(iii) A subset of 300 data generated using the command:
my.data <- the.data[sample(1:671,300),c(1:6)]
(iv) Histograms for all the six variables are as follows:
Figure 1: Histogram for Temperature in kitchen area (Celsius) and Histogram for humidity in kitchen area (%)
Figure 2: Histogram for temperature outside kitchen area and Histogram for outside humidity (%)
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SIT718 Real World Analytics_2
Figure 3: Histogram for visibility (km) and for energy use of appliances
Figure 4: Scatter plots of energy use of appliances on temperature and humidity in kitchen area
Figure 5: Scatter plot of energy use of appliances on temperature and humidity outside kitchen area
Figure 6: Scatter plot of energy use of appliances on visibility from weather station
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