Last updated: 2021-02-12
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Source file: code-rmd/examples/iris/data-overview.Rmd
The Iris flower data set or Fisher’s Iris data set is a multivariate data set introduced by the British statistician and biologist Ronald Fisher in his 1936 paper.
The use of multiple measurements in taxonomic problems as an example of linear discriminant analysis.
The data set consists of 50 samples from each of three species of Iris (Iris setosa, Iris virginica and Iris versicolor).
Four features were measured from each sample: the length and the width of the sepals and petals, in centimeters.
Dataset iris has 150 observations and 5 variables and its class name is "data.frame".
Variable names of iris dataset:
Sepal.Length
Sepal.Width
Petal.Length
Petal.Width
Species#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#> 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
#> 147 6.3 2.5 5.0 1.9 virginica
#> 148 6.5 3.0 5.2 2.0 virginica
#> 149 6.2 3.4 5.4 2.3 virginica
#> 150 5.9 3.0 5.1 1.8 virginica#> Sepal.Length Sepal.Width Petal.Length Petal.Width
#> Min. :4.300 Min. :2.000 Min. :1.000 Min. :0.100
#> 1st Qu.:5.100 1st Qu.:2.800 1st Qu.:1.600 1st Qu.:0.300
#> Median :5.800 Median :3.000 Median :4.350 Median :1.300
#> Mean :5.843 Mean :3.057 Mean :3.758 Mean :1.199
#> 3rd Qu.:6.400 3rd Qu.:3.300 3rd Qu.:5.100 3rd Qu.:1.800
#> Max. :7.900 Max. :4.400 Max. :6.900 Max. :2.500
#> Species
#> setosa :50
#> versicolor:50
#> virginica :50
#>
#>
#>
#> R version 4.0.3 (2020-10-10)
#> Platform: x86_64-w64-mingw32/x64 (64-bit)
#> Running under: Windows 10 x64 (build 19041)
#>
#> Matrix products: default
#>
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#> [3] LC_MONETARY=Slovak_Slovakia.1250 LC_NUMERIC=C
#> [5] LC_TIME=Slovak_Slovakia.1250
#> system code page: 1252
#>
#> attached base packages:
#> [1] stats graphics grDevices utils datasets methods base
#>
#> other attached packages:
#> [1] workflowr_1.6.2
#>
#> loaded via a namespace (and not attached):
#> [1] Rcpp_1.0.5 rstudioapi_0.11.0-9000 whisker_0.4
#> [4] knitr_1.30 magrittr_1.5 R6_2.4.1
#> [7] rlang_0.4.10 stringr_1.4.0 tools_4.0.3
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#> [16] digest_0.6.25 tibble_3.0.3 lifecycle_0.2.0
#> [19] crayon_1.3.4 later_1.1.0.1 vctrs_0.3.2
#> [22] promises_1.1.1 fs_1.5.0 glue_1.4.2
#> [25] evaluate_0.14 rmarkdown_2.4 stringi_1.5.3
#> [28] compiler_4.0.3 pillar_1.4.6 generics_0.0.2
#> [31] backports_1.1.9 tufte_0.9 lubridate_1.7.9
#> [34] httpuv_1.5.4 pkgconfig_2.0.3Copyright © 2021 LearnUseZone