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Project 1 – The Layered Grammar of Graphics and Package “ggplot2” Step 1: Execute the following commands in the RStudio console: > library(ggplot2) > data(package = “ggplot2”) This returns a list of...

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Project 1 – The Layered Grammar of Graphics and Package “ggplot2”
Step 1:
Execute the following commands in the RStudio console:
li
ary(ggplot2)
data(package = “ggplot2”)
This returns a list of datasets that reside in the ggplot2 package.
Step 2:
Select a dataset from the list, and study the data:
    Number of variables and observations
    Variable names and definitions
    You can google on “package ggplot2” or “datasets contained in ggplot2” for more information
Step 3:
Explore your data by plotting various combinations of data in various ways. Create new variables with mutate() if necessary. Run any kind of statistics you see fit. Run regressions using function lm().
Step 4:
Select the most interesting graphics that you generated during your exploration (minimum of 4), and write a summary interpretation of your findings using Microsoft Word. Use the snipping tool in Windows to create png files of your graphs and insert them into your Word document.
2
Answered 2 days After Feb 04, 2021

Solution

Suraj answered on Feb 06 2021
160 Votes
Assignment
Topic: The Layered Grammar of Graphics and Package “ggplot2”
Submitted To:
Submitted By:
Date: 06/02/2021
Step 1:
In this step we will load the “ggplot2” li
ary and see different types of datasets available in this li
ary. The following is the required code for it:
li
ary(ggplot2)
data(package="ggplot2")
df<-mpg
Hence, from the various datasets available in the li
ary.
Step 2:
In this step we load the mpg dataset from the ggplot2 li
ary.
The following code will give total number of variables and total observations:
nrow(mpg)
ncol(mpg)
the output is: there are total 11 columns and 234 observations. Thus, there are total 11 different kinds of variables.
The variables names and their definitions are given as follows:
The manufacturer variable is the name of car manufacturer and there are total 15 manufactures data in the dataset.
The model variable describes the model of the car. There are total 38 models of cars.
The displ is the engine displacement in liters.
The year...
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