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Visual analytics week 3
Follow the instructions in the book to create a new project. Give it a name and an author. Execute the 3 code snippets from the preface to bring all the packages into this new project then create a new R Markdown document as instructed by the book. Load the tidyverse and socviz libaries. In order to execute code in an R Markdown object, the code must be enclosed by: {r}..... Use R studio to complete the following: create a vector of the names of the members of your immediate family display it 1.create a vector of numbers 2.find the mean of the numbers in the vector you created 3.assign the results of a function to an object 4.display the object 5.determine the class of the vector 6.change the class of the vector to character 7.show the new class 8.show the titanic dataframe 9.show the class of titanic 10.convert the titanic dataframe to a tibble 11.show the structure of various objects 12.show the structure of the mpg dataframe (mpg is an example dataset showing mileage for cars of various models and with different numbers of cylinders) 13.show the contents of the mpg dataframe 14.create a scatterplot of the mpg dataset 15.create an object called ‘url’ with the organ donation file in it 16.create an object with the organ donation data, find the structure of that object, load the gapminder dataset (watch this video to learn more about gapminder) 17.make a scatterplot of the gdpPercap and lifeexp 18.Submit an R Markdown document by Sunday at midnight with this work in it. Show the graphs not the code. comment on the submissions of two classmates. Explain and interpret each visualization. Highlight your comments.
NEC Academic Solutions
Saraswathi Analytics provides New England College Academic Solutions - NEC
Week Fourteen | Refinements in ggplot - Visual Analytics
Saraswathi Analytics provides Visual Analytics Week 14 solution (Visual Analytics - 202051 - CRN140) New England College - NEC
Week Thirteen | Mapping - Visual Analytics
Saraswathi Analytics provides Visual Analytics Week 13 solution (Visual Analytics - 202051 - CRN140) New England College - NEC
Week Twelve | Working with Models 4 - Visual Analytics
Saraswathi Analytics provides Visual Analytics Week 12 solution (Visual Analytics - 202051 - CRN140) New England College - NEC
Week Eleven | Working with Models 3 - Visual Analytics
Saraswathi Analytics provides Visual Analytics Week 11 solution (Visual Analytics - 202051 - CRN140) New England College - NEC
Week Ten | Working with Models 2 - Visual Analytics
Saraswathi Analytics provides Visual Analytics Week 10 solution (Visual Analytics - 202051 - CRN140) New England College - NEC
Week Nine | Working with Models 1 - Visual Analytics
Saraswathi Analytics provides Visual Analytics Week 9 solution (Visual Analytics - 202051 - CRN140) New England College - NEC
Week Eight | dplyr - Visual Analytics
Saraswathi Analytics provides Visual Analytics Week 8 solution (Visual Analytics - 202051 - CRN140) New England College - NEC
Week Seven | Plotting Text - Visual Analytics
Saraswathi Analytics provides Visual Analytics Week 7 solution (Visual Analytics - 202051 - CRN140) New England College - NEC
Week Six | Data Transformation - Visual Analytics
Saraswathi Analytics provides Visual Analytics Week 6 solution (Visual Analytics - 202051 - CRN140) New England College - NEC
Week Five | Showing the Right Numbers - Visual Analytics
Saraswathi Analytics provides Visual Analytics Week 5 solution (Visual Analytics - 202051 - CRN140) New England College - NEC
Week Three | Getting Started - Visual Analytics NEC
Saraswathi Analytics provides Visual Analytics Week 3 solution (Visual Analytics - 202051 - CRN140) New England College - NEC
Week Four | Make a Plot - Visual Analytics
Saraswathi Analytics provides Visual Analytics Week 4 solution (Visual Analytics - 202051 - CRN140) New England College - NEC
Week One | Installs - Visual Analytics NEC
Saraswathi Analytics provides Visual Analytics Week 1 solution (Visual Analytics - 202051 - CRN140 - Pollak) New England College - NEC
Test
Checking relationship between Miles Per Galon vs Horse Power from the mtcars data