Big Data Assignment
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BIGDATAPPT.pptxSchool of Computer & Information Sciences
ITS836 Data Science and Big Data Analytics
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HW 01
Exercise 1: Compare the costs of AWS, Azure and GGP
Exercise 2: Install R and Rstudio
Exercise 3: Do the Module 1, “R for Data Science”
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Exercise 1 – Big Data Cost Comparison
Amazon Web Services, Microsoft Azure and Google Cloud Platform Cost comparison
Use the following references (or any others):
https://www.upwork.com/hiring/for-clients/aws-vs-azure-vs-google-cloud-platform-comparison/
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Exercise 2: Install R, Rstudio and Packages
Chapter 1 Download and Install R, Rstudio and Packages
https://r4ds.had.co.nz/introduction.html
Download and Install R ( copy a screenshot on your powerpoint slide)
Precompiled binary distributions of the base system and contributed packages, Windows and Mac users most likely want one of these versions of R:
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R Studio
Exercise3: Module 1 – Explore ”R for Data Science”
Chapter 3 Data Visualization
3.2.4
3.3.1
3.5.1
3.6.1
3.7.1
3.8.1
3.9.1
Chapter 4 Workflow Basics
4.4
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Chapter 5 Data Transformation
5.2.4
5.3.1
5.4.1
5.5.2
5.6.7
Chapter 6 Workflow: scripts
6.3
Chapter 7 Exploratory Data Analysis
7.3.4
7.4.1
7.5.1.1
7.5.2.1
7.5.3.1
Chapter 8 Workflow: projects
https://r4ds.had.co.nz/data-visualisation.html
https://r4ds.had.co.nz/workflow-basics.html
https://r4ds.had.co.nz/transform.html
https://r4ds.had.co.nz/workflow-scripts.html
https://r4ds.had.co.nz/exploratory-data-analysis.html
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”R for Data Science” 5 Modules
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R for Data Science, Garrett Grolemund & Hadley Wickham
https://r4ds.had.co.nz/index.html
I Explore
II Wrangle
III Program
IV Model
V Communicate
Assignment Response format
Do the exercise –
Share screen shot on your powerpoint response
Share the code and the plots in powerpoint format (Use existing ppt slide format)
Put your name and id number
Upload
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Questions?
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