Advanced Graphs in RStudio (ggplot2)

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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.

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