Advanced Graphs in RStudio (ggplot2)

Background: We have seen how simple data analysis 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.

Graphs to Produce:

ggplot2 – Bar Plot: (Use dataset_student_survey_data.csv)

• x=Smoke
• fill=Exer
• position=dodge
• facet_wrap=Sex
• x-label=Smoker
• y-label=Counts
• title=[First Name] – The Exercise habits of Male and Female students that smoke

ggplot2 – Histogram: (Use dataset_us_car_price_data.csv)

• x=Price
• fill=Type
• facet_wrap=Type
• x-label=Price
• y-label=Freq
• title= [First Name] – Car Price Distribution based on Car Type

ggplot2 – Box Plot: (Use dataset_production_of_rice_in_indonesia.csv)

• x=varieties
• y=price
• fill=bimas
• facet_wrap=status
• x-label=Rice Varieties
• y-label=Price
• title= [First Name] – Indonesia Rice Prices based on Varieties, Land Status, and Bimas Program

ggplot2 – Scatter Plot: (Use dataset_production_of_rice_in_indonesia.csv)

• x=price
• y=wage
• shape=bimas
• col=bimas
• facet_wrap=status
• method=lm
• se=F
• x-label=Rice Price
• y-label=Wage
• title= [First Name] – Indonesia Rice Prices vs Wage based broken down by Land Status and Bimas Program

Please put all screen shots in a MS Word (other word processors are fine to use but save it in MS Word format). Add your first name to the graph title.