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Assignment Task Question 1. Consider the hourly pedestrian count data collected at the Argyle Square park in Melbourne over the three-day period. This dataset is given as a CSV file, named “ ArgyleSquarePedestWalkbysCSVFile.csv ”. Plot the histogram for the count Comment on the shape. How many modes can be observed in the data? F... Get Started

Assignment Task Q1) For this question, use the dataset given as a CSV file, named “DataMyrmindon2023.csv”. You can download this from the Assignment folder in CloudDeakin (Unit site). Below is the description of this dataset. This dataset, comprising air and sea water measurements, has been collected from Myrmindon Reef , which is loca... Get Started

Assignment Task   Q1) Melbourne City council conducted a survey to study the relationship between the type of dwelling and the income profile of the people living in Melbourne city. A list of factors that influence the type of dwelling, along with their possible values, and a Bayesian network that represents the relationship between... Get Started

Assignment Task   Q1) Melbourne City council conducted a survey to study the relationship between the type of dwelling and the income profile of the people living in Melbourne city. A list of factors that influence the type of dwelling, along with their possible values, and a Bayesian network that represents the relationship between t... Get Started

Assignment Task   Q1) Melbourne City council conducted a survey to study the relationship between the type of dwelling and the income profile of the people living in Melbourne city. A list of factors that influence the type of dwelling, along with their possible values, and a Bayesian network that represents the relationship between the... Get Started

Assignment Task   Use the sampled data (“my.data”) to answer the following questions. 1.1) Draw a histogram and a box plot for the ‘Humidity’ variable. Provide a five number summary for the humidity values. Use these to comment about the distribution of the humidity variable. 1.2) Which summary statistics wo... Get Started

Question :  Q1) : • Download the txt file “BikeShareTabSep.txt” and save it to your R working directory. • Assign the data to a matrix, e.g. using the.data<-as.matrix(read.table("BikeShareTabSep.txt")) • Generate a sample of 400 data using the following: my.data <- the.data [sample(1:727,400),c(1:9)] Save “my.data” to a text fi... Get Started