Testing MatrixDS capabilities on different languages and tools

Here’s a gist of that notebook, that you can find in the MatrixDS project:
Testing started my data science career on R. It’s a great tool for doing data analysis, data cleaning, plotting and much more. This is the code for doing that:
library(g2r)g2(iris, asp(Petal.Length, Petal.Width, color = Species)) %%
fig_point() %%
plane_wrap(planes(Species))And you’ll get:
In the code you change:
aes – asp
geom_point() – – plane_wrap(planes(Species))I’m still wondering why they didn’t use the same API but’s it’s a very cool project. Let’s Julia  (sounds weird)
When you launch it, you can open or create any Python or Julia notebook:
This is the notebook I created for testing Julia capabilities for data science:
Here I tested some libraries like DataFrames, Gadfly, Queryverse, Vega for plotting and more 

Source: towardsdatascience.com