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One starting point to see how well our recommendations align with what people might expect is to watch some videos of people doing data analysis, particularly the tidy Tuesday community in R. For example, this video shows an analysis of a dataset using R.
It seems like some others have made videos replicating these analyses in pandas and python like here.
It might be worth watching some of these to see...
Which pandas functions are they using most?
How do they visualize them?
Do we track all of these pandas functions in our history and how do our visualizations compare?
The text was updated successfully, but these errors were encountered:
One starting point to see how well our recommendations align with what people might expect is to watch some videos of people doing data analysis, particularly the tidy Tuesday community in R. For example, this video shows an analysis of a dataset using R.
It seems like some others have made videos replicating these analyses in pandas and python like here.
It might be worth watching some of these to see...
The text was updated successfully, but these errors were encountered: