Global economics Critical Thinking: Saudi Arabian Riyal and the U.S. Dollar

Assignment 6 – Data: Advanced Graphs in R Studio

Background: We have seen how simple data analysis and simple graphs assist us with telling the story of raw datasets. Now we will learn how the use of advanced graphs play a major “drilling down” deep into the meaning of the data.

Assignment:

Use RStudio to generate advanced graphs (using the ggplot2 package) using the dataset below.

Use the following videos to learn the commands to produce advanced graphs in RStudio: RStudio – Advanced Graphs – Part1.mp4

 | RStudio – Advanced Graphs – Part2.mp4  

Graphs to Produce:

ggplot2 – Bar Plot: (Use dataset_student_survey_data.csv)

x=Smoke
fill=Exer
position=dodge
facet=Sex
x-label=Smoker
y-label=Counts
title=The Exercise habits of Male and Female students that smoke

ggplot2 – Histogram: (Use dataset_us_car_price_data.csv)

x=Price
fill=Type
facet=Type
x-label=Price
y-label=Freq
title=Car Price Distribution based on Car Type

ggplot2 – Box Plot: (Use dataset_production_of_rice_in_india.csv)

x=varieties
y=price
fill=bimas
facet=status
x-label=Rice Varieties
x-label=Price
title=India Rice Prices based on Varieties, Land Status, and Bimas Program

ggplot2 – Scatter Plot: (Use dataset_production_of_rice_in_india.csv)

x=price
y=wage
shape=bimas
col=bimas
facet=status
method=lm
se=F
x-label=Rice Price
y=Wage
title=India Rice Prices vs Wage broken down by Land Status and Bimas Program

.

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