In [1]:
# DAL ToolBox
# version 1.01.727
source("https://raw.githubusercontent.com/cefet-rj-dal/daltoolbox/main/jupyter.R")
#loading DAL
load_library("daltoolbox")
Loading required package: daltoolbox
Registered S3 method overwritten by 'quantmod':
method from
as.zoo.data.frame zoo
Attaching package: ‘daltoolbox’
The following object is masked from ‘package:base’:
transform
In [2]:
load_library("ggplot2")
load_library("RColorBrewer")
#color palette
colors <- brewer.pal(4, 'Set1')
# setting the font size for all charts
font <- theme(text = element_text(size=16))
Loading required package: ggplot2 Loading required package: RColorBrewer
In [3]:
#iris dataset for the example
head(iris)
| Sepal.Length | Sepal.Width | Petal.Length | Petal.Width | Species | |
|---|---|---|---|---|---|
| <dbl> | <dbl> | <dbl> | <dbl> | <fct> | |
| 1 | 5.1 | 3.5 | 1.4 | 0.2 | setosa |
| 2 | 4.9 | 3.0 | 1.4 | 0.2 | setosa |
| 3 | 4.7 | 3.2 | 1.3 | 0.2 | setosa |
| 4 | 4.6 | 3.1 | 1.5 | 0.2 | setosa |
| 5 | 5.0 | 3.6 | 1.4 | 0.2 | setosa |
| 6 | 5.4 | 3.9 | 1.7 | 0.4 | setosa |
Scatter plot¶
A Scatter plot is used to display values for the typical relationship between independent and dependent variables. The first column of the dataset is the independent variable, whereas the following variables are the dependent ones.
The colors vectors should have the same size as the number of dependent columns.
More information: https://en.wikipedia.org/wiki/Scatter_plot
In [4]:
load_library("dplyr")
grf <- plot_scatter(iris |> select(x = Sepal.Length, value = Sepal.Width, variable = Species),
label_x = "Sepal.Length", label_y = "Sepal.Width", colors=colors[1:3]) + font
plot(grf)
Loading required package: dplyr
Attaching package: ‘dplyr’
The following objects are masked from ‘package:stats’:
filter, lag
The following objects are masked from ‘package:base’:
intersect, setdiff, setequal, union
In [ ]: