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Source file: code-rmd/examples/iris/interactive-visuals/plotly.Rmd
Interactive scatter plot with 3 species of Iris (Iris setosa, Iris virginica and Iris versicolor) distinguished by color is shown below.
# load packages
library(dplyr)
# shared data
iris_shared <- crosstalk::SharedData$new(iris)
# color by species
color_scatter <- iris_shared %>%
plotly::plot_ly(
x = ~ Sepal.Length,
y = ~ Petal.Length,
mode = "markers",
type = "scatter",
color = ~ Species,
colors = c("blue", "red2", "green3"), # alternative: "Set2"
# hover text
hoverinfo = "text", # suppress default text in tooltip
text = ~ base::paste(
paste("\n", "Iris species: ", paste("<b>", Species, "</b>")),
paste("\n", "Sepal length:", paste("<b>", `Sepal.Length`, "cm", "</b>")),
paste("\n", "Petal length: ", paste("<b>", `Petal.Length`, "cm", "</b>"))
),
hoverlabel = list( # properties of hover label text
font = list(
size = 16,
family = "Arial",
color = "rgb(245, 245, 245)"
),
align = "left"
)
) %>%
plotly::layout(
title = "Iris species by lengths",
xaxis = list(title = "Sepal length (cm)"),
yaxis = list(title = "Petal length (cm)"),
legend = list(
orientation = "v",
x = 0.82, y = 0.08,
bgcolor = "white", # alternative: rgb(245, 245, 245)
title = list(text = "Iris species")
)
)
# add a filter to an interactive qualitative color scales scatter plot
crosstalk::bscols(
widths = c(2, NA),
list(
crosstalk::filter_slider("Sepal.Length", "Sepal length (cm)", iris_shared, ~ Sepal.Length),
crosstalk::filter_slider("Petal.Length", "Petal length (cm)", iris_shared, ~ Petal.Length)
),
color_scatter
)
#> 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
#>
#> locale:
#> [1] LC_COLLATE=Slovak_Slovakia.1250 LC_CTYPE=Slovak_Slovakia.1250
#> [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] dplyr_1.0.2 workflowr_1.6.2
#>
#> loaded via a namespace (and not attached):
#> [1] Rcpp_1.0.5 pillar_1.4.6 compiler_4.0.3
#> [4] later_1.1.0.1 git2r_0.27.1 tools_4.0.3
#> [7] digest_0.6.25 viridisLite_0.3.0 jsonlite_1.7.1
#> [10] gtable_0.3.0 lubridate_1.7.9 evaluate_0.14
#> [13] lifecycle_0.2.0 tibble_3.0.3 pkgconfig_2.0.3
#> [16] rlang_0.4.10 shiny_1.5.0 rstudioapi_0.11.0-9000
#> [19] crosstalk_1.1.0.1 yaml_2.2.1 xfun_0.18
#> [22] fastmap_1.0.1 httr_1.4.2 stringr_1.4.0
#> [25] knitr_1.30 htmlwidgets_1.5.1 generics_0.0.2
#> [28] fs_1.5.0 vctrs_0.3.2 grid_4.0.3
#> [31] rprojroot_1.3-2 tidyselect_1.1.0 data.table_1.13.0
#> [34] glue_1.4.2 R6_2.4.1 plotly_4.9.2.1
#> [37] rmarkdown_2.4 farver_2.0.3 tidyr_1.1.1
#> [40] ggplot2_3.3.2 purrr_0.3.4 magrittr_1.5
#> [43] whisker_0.4 scales_1.1.1 backports_1.1.9
#> [46] promises_1.1.1 ellipsis_0.3.1 htmltools_0.5.0
#> [49] colorspace_1.4-1 xtable_1.8-4 mime_0.9
#> [52] httpuv_1.5.4 stringi_1.5.3 lazyeval_0.2.2
#> [55] munsell_0.5.0 crayon_1.3.4Copyright © 2021 LearnUseZone