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Ever heard about painted data? You can be an artist while working as a data scientist!
Data Paintings is a Rstats package that turns the invisible patterns of data into a series of poetic data paintings.
This kandinsky package made my day!Painting with data using the kandinsky Package is so cool!
What better way to visualise your data than as a #kandinsky painting? The Kandinsky package does exactly what you need in a few seconds.
The datasets I used are from the R Dataset library.
#rstats at its best
library(kandinsky)
kandinsky(mtcars)
## Warning: package 'purrr' was built under R version 3.6.3
## Warning: The `x` argument of `as_tibble.matrix()` must have column names if `.name_repair` is omitted as of tibble 2.0.0.
## Using compatibility `.name_repair`.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_warnings()` to see where this warning was generated.
kandinsky(iris)
kandinsky(faithful)
kandinsky(JohnsonJohnson)
## Warning in bind_rows_(x, .id): Vectorizing 'ts' elements may not preserve their
## attributes
kandinsky(Orange)
kandinsky(OrchardSprays)
kandinsky(LifeCycleSavings)
kandinsky(discoveries)
## Warning in bind_rows_(x, .id): Vectorizing 'ts' elements may not preserve their
## attributes
DATA PAINTINGS (THE KANDINSKY PACKAGE) http://giorasimchoni.com/2017/07/30/2017-07-30-data-paintings-the-kandinsky-package/
https://github.com/gsimchoni/kandinsky
The R Datasets Package https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/00Index.html