University Solutions Hub provides Visual Analytics Week 3 solution (Visual Analytics).
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.