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.
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_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