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Week 5

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The text is Mastering Spark with R. Create a new connection to your Spark cluster -. sc Make sure that you are using the correct version of Java Execute the following code: >summarize_all(cars, max) >summarize_all(cars, min) >summarize_all(cars, mean) >summarize_all(cars, mean)%>% show_query() >cars %>% mutate(transmission = ifelse(am ==0, "automatic", "manual")) %>% group_by(transmission) %>% summarize_all(mean)

i x
  •  Book
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  •  • 4 pages • 
  • by datascience24 • 
  • uploaded  2023
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Week 3

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The text is Mastering Spark with R. After installing the dplyr library, use the following code in R studio, create a scatter plot of hp v. mpg cars2 <- copy_to(sc, mtcars) cars3 <- (cars2) cars4 <- select(cars3, hp, mpg) cars5 <- sample_n(cars4, 32) cars6 <- collect(cars5) plot(cars6)

i x
  •  Book
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  •  • 2 pages • 
  • by datascience24 • 
  • uploaded  2023
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Week 2

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Following the instrutions in the book, install the sparklyr library and a Spark cluster on your local machine. The instructions in the book contemplate that you will be using Windows. If you are not running Windows, use a virtual machine. If you are using your employer's equipment, you may enounter a trusted domain error. This will also require that you install a virtual machine. The code in the book assumes Spark version 2.3 and Java 8. You are free to use any version, of course, but the co...

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  •  Book
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  •  • 3 pages • 
  • by datascience24 • 
  • uploaded  2023
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Week 1

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Submit a Word or .pdf document with screen shots of R Studio where you have created a vector of three words. Whenever you are asked to submit a screenshot, include either a sliver of your desktop or a timestamp from your desktop. Always repeat the question you are answering.

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  •  Book
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  •  • 1 pages • 
  • by datascience24 • 
  • uploaded  2023
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The_Story_of_E-Patient_Dave

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The Story of E-Patient Dave Chapter Two begins with a case study using an actual patient. Read the case study, “The Story of E-Patient Dave.” Develop your initial response to the below questions. Number your paragraphs to correspond to the questions. First, describe want went wrong on Google Health. How does what went wrong relate to our initial understanding of (1) healthcare data, (2) information, and (3) knowledge? Make sure you address all three in your response. Finally, identify o...

i x
  •  Book
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  •  • 3 pages • 
  • by datascience24 • 
  • uploaded  2023
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