In UBC-MDS/magmavizR: magmavizR is a plotting package

Usage

The magmavizR library can be loaded by using the commands below:

library("magmavizR")
penguins_data <- palmerpenguins::penguins
penguins_data

The four data visualization functions included in the package along with the usage are outlined below:

Boxplot

Returns a boxplot based on the data frame, a numerical feature to view the distribution of and a categorical feature to bucket data into categories. Additionally, there is a boolean option to facet the boxplots into separate charts.

boxplot(penguins_data, species, bill_length_mm, facet = TRUE)

Correlation plot

Returns a correlation plot based on the numerical features present in the data frame. Additionally, it will print the correlated numerical feature pairs along with their correlation values.

corrplot(penguins_data, print_corr = TRUE, title = "Correlation")

Histogram

Returns a histogram based on the data frame and a numeric feature to plot on the x-axis. The y-axis will display the result of the following aggregating functions:

count
ncount
density
ndensity
width

histogram(penguins_data, bill_length_mm, "..count..")

Scatterplot

Returns a scatterplot based on the data frame and two numerical feature names passed as the required inputs. There are auxiliary inputs that provide the flexibility to:

Color code or change the shape of the data points on a categorical variable
Set a title to the plot, x-axis, y-axis and color legend
Change the opacity and size of the data points
Set the scale of the x-axis and y-axis to start from zero

scatterplot(penguins_data, bill_length_mm, flipper_length_mm, species, "Bill and Flipper length clusters by Species", 0.5, 2.5, "Bill length (mm)", "Flipper length (mm)", "", FALSE, FALSE, TRUE)