numerical_eda: Numerical Plotting Function

In UBC-MDS/RSimplerEDA: Simpler_eda_r

Description

This function takes in a tibble or dataframe object, two numeric columns, and produces either a scatter or line plot to visualize the relationship between the two numerical features. Users can optionally change default arguments for plot-type, color, title, size of text, color-scheme, and toggle log transformation for the x and y axis.

Usage

numerical_eda(
  data,
  xval,
  yval,
  color,
  title = NULL,
  plot_type = "scatter",
  font_size = 10,
  color_scheme = "Tableau 10",
  x_transform = FALSE,
  y_transform = FALSE
)

Arguments

data	A tibble or data frame object.
xval	A numeric variable used to represent the x-axis.
yval	A numeric variable used to represent the y-axis.
color	A character variable used to group the data points in different colors.
title	An optional character variable used to set the title and axis.
plot_type	An optional character variable used to represent the graphical relationship between xval and yval, options are "scatter" or "line" plot.
font_size	An optional integer variable used to set the font size.
color_scheme	An optional character variable used to set the color scheme
x_transform	An optional logical, whether a log transformation occurs on the x-axis.
y_transform	An optional logical, whether a log transformation occurs on the y-axis.

Value

numerical_plot A ggplot2 object. The numerical plot.

Examples

df <- iris
numerical_plot <- numerical_eda(
  data = df,
  xval = Petal.Length,
  yval = Petal.Width,
  color = Species,
  title = "Petal.Length vs Petal.Width",
  font_size = 12
)

UBC-MDS/RSimplerEDA documentation built on March 28, 2021, 9:34 p.m.