A subset of the UCI Waveform Database Generator dataset (Version 1). Contains 5000 observations with 21 numeric features and a 3-class response variable. All 21 features contribute to class membership, making this a useful dataset for demonstrating high-dimensional boundary visualization, including 2D slice and projection-based approaches.
Usage
data(data69_1)Format
A data frame with 5000 rows and 22 columns:
- Y
Class label: a factor with 3 levels (
"1","2","3")- V1
Numeric feature variable
- V2
Numeric feature variable
- V3
Numeric feature variable
- V4
Numeric feature variable
- V5
Numeric feature variable
- V6
Numeric feature variable
- V7
Numeric feature variable
- V8
Numeric feature variable
- V9
Numeric feature variable
- V10
Numeric feature variable
- V11
Numeric feature variable
- V12
Numeric feature variable
- V13
Numeric feature variable
- V14
Numeric feature variable
- V15
Numeric feature variable
- V16
Numeric feature variable
- V17
Numeric feature variable
- V18
Numeric feature variable
- V19
Numeric feature variable
- V20
Numeric feature variable
- V21
Numeric feature variable
Details
Each observation is generated from one of three waveform classes. All features
are numeric; the response variable Y is a factor with levels "1", "2", and
"3". Load the dataset with data(data69_1).
This dataset is included primarily to demonstrate high-dimensional boundary
visualization with tools like PCA projection and tourr. For introductory
2D examples, the palmerpenguins::penguins dataset provides a more
accessible alternative.
Examples
data(data69_1)
dim(data69_1) # 5000 x 22
#> [1] 5000 22
levels(data69_1$Y) # "1" "2" "3"
#> NULL
head(data69_1[, 1:5])
#> # A tibble: 6 × 5
#> Y V1 V2 V3 V4
#> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 2 -1.23 -1.56 -1.75 -0.28
#> 2 1 -0.69 2.43 0.61 2.08
#> 3 0 -0.12 -0.94 1.29 2.59
#> 4 1 0.86 0.29 2.19 -0.02
#> 5 1 1.16 0.37 0.4 -0.59
#> 6 2 0 0.77 1.32 0.29