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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