This is what the updated data frame looks like with our new Enjoyment Score metric. Now, let’s visualize it. Finally, we get this beautiful and super valuable visualization.

It has a built-in, easy-to-use data and variable explorer, which includes options like sorting and filtering data frames. It can be accessed by clicking an icon, for both R and Python data.

There is one more step to use data from R or Python in Observable: transpose(). JavaScript visualizations usually use a different data format than the rectangular data frames typically needed in R ...

Data lake analytics platform company Starburst has extended support for Python with PyStarburst and announced a new integration with the open source Python library Ibis, built in collaboration ...