| data69_1 | R Documentation |
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.
data(data69_1)
A data frame with 5000 rows and 22 columns:
Class label: a factor with 3 levels ("1", "2", "3")
Numeric feature variable
Numeric feature variable
Numeric feature variable
Numeric feature variable
Numeric feature variable
Numeric feature variable
Numeric feature variable
Numeric feature variable
Numeric feature variable
Numeric feature variable
Numeric feature variable
Numeric feature variable
Numeric feature variable
Numeric feature variable
Numeric feature variable
Numeric feature variable
Numeric feature variable
Numeric feature variable
Numeric feature variable
Numeric feature variable
Numeric feature variable
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.
https://archive.ics.uci.edu/dataset/107/waveform+database+generator+version+1
data(data69_1)
dim(data69_1) # 5000 x 22
levels(data69_1$Y) # "1" "2" "3"
head(data69_1[, 1:5])
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