Data: Advanced Graphs in RStudio (ggplot2)

Background: We have moved from simple graphs to advanced graphs to visualize our datasets. In our last data assignment, I told you where to place your data fields. In this assignment, you will place the data field based on keywords in a sentence.

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:

Video 1: RStudio – Advanced Graphs2 – Part1.mp4

Video 2: RStudio – Advanced Graphs2 – Part2.mp4

Graphs to Produce:

***** Do not forget to tell RStudio what fields are factors! *****

ggplot2 – Bar Plot: (Use dataset_price_personal_computers.csv)

• Plot the ram sold in the computers.

• Breakout how the computer screen sizes based on the ram.

• Position the computer screen sizes side by side.

• Drilldown the dataset further based on premium.

• Label the x-axis.

• Label the y-axis.

• Give the graph a title.

• What story is presented in this visualization?

ggplot2 – Histogram: (Use dataset_production_of_rice_in_indonesia.csv)

• Plot the distribution of the wages of the rice production. (Use a binwidth = 5)

• Breakout the land status of ownership.

• Drilldown the dataset further based on the varieties of rice produced.

• Label the x-axis.

• Label the y-axis.

• Give the graph a title.

• What story is presented in this visualization?

ggplot2 – Box Plot: (Use dataset_tipping_data.csv)

• Plot the Day vs Tip of the meals.

• Breakout the time of day.

• Drilldown the dataset further based on gender.

• Label the x-axis.

• Label the y-axis.

• Give the graph a title.

• What story is presented in this visualization?

ggplot2 – Scatter Plot: (Use dataset_edgar_anderson_iris_data.csv)

• Plot the petal length vs petal width of the flowers.

• Breakout the species of the flowers.

• Drilldown the dataset further based on the species.

• Label the x-axis.

• Label the y-axis.

• Give the graph a title.

• What story is presented in this visualization?